# 5G-Based Information Platform Design of Tourist Attractions in the Context of Mobile Big Data

Authors: Shuo Fang
Journal: Security and Communication Networks
 (2022)

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## Abstract

This article aims to study the design of a tourist attraction information platform architecture based on 5G transmission technology in the context of mobile big data. It introduces the NOMA technology and the B/S mode. When introducing the nonorthogonal multiple access (NOMA) technology, it discusses the introduction and technical advantages of NOMA and puts forward the K-means algorithm, focusing on the selection of K value and distance measurement. How to measure the principle of K value NOMA technology is explained and analyzed. It can be seen that NOMA technology can effectively improve the capacity and spectrum efficiency of 5G communication system, and B/S function can reduce the cost of system maintenance and upgrade and the cost of users. In the experimental part of the article, starting from the overall design of the platform architecture, the overall design of the database, and the software and hardware platform, a tourist attraction information platform architecture based on 5G transmission technology is designed. The experimental results of this article show that people of different occupations are significantly more satisfied with the tourist attraction information platform proposed in this article than other platforms and the satisfaction is as high as 76.8%.


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## Body

## 1. Introduction

The journey to escape from city life to relax has now become an indispensable part of life. Where there is demand, there is a market, and the tourism industry is developing rapidly to face the strong demand. However, at present, due to the increasing demand for tourism, traditional tourism methods have been unable to meet the requirements of travelers with characteristics gradually. Therefore, tourism managers and tourism operators must improve the development of the entire tourism industry based on characteristics and personalities, improve services and structures, and meet the individual needs of tourism consumers. In this way, advanced technologies must be considered to achieve diversification and comprehensiveness. Tourism is essentially a trade because it is a question of supply and demand. It does not require tangible interaction and makes full use of the advantages of information exchange. Therefore, information is the backbone of the tourism industry. The tourism industry cannot follow the traditional path and must increase economic growth. Moreover, with the rapid development of Internet technology, the tourism industry must grasp the advantages of the Internet and carry out innovation and upgrading. The trade-offs between tourism and other natural products are not as independent, part of which includes scenic spots and accommodations. These institutions need to provide a lot of background and information for the tourism industry and provide information on the normal operation of the tourism industry. Therefore, the tourism industry must be upgraded with informatization [1].Nowadays, traveling is nothing more common. China’s economic development being at the forefront of the world has also promoted the great development of tourism. According to national statistics, tourism has become the main growth point leading to China’s economic development, and the future growth rate will remain at about 10%. However, the current business operating model and development momentum of China’s tourism industry still lag behind that of developed countries. Due to backward management mode, slow data transmission, exchange speed, and other bottlenecks, the growth rate of 5G tourism information platform cannot keep pace with the economic growth rate. Therefore, the tourism industry must be transformed. Tourism, as an important industry supporting the rapid development of China’s national economy, shoulders the important task of vigorously promoting the rapid development of the economy. At the same time, the sustainable development of the tourism industry itself is also facing unprecedented opportunities and challenges. The traditional intensive development model can no longer adapt to the current development speed. The only way out for the development of tourism is to transform from extensive to intensive and to carry out the construction of tourism informatization and realize the direction of sustainable development.In the context of economic globalization and the rapid dissemination of network information, people’s perspectives on tourism culture have undergone tremendous changes. Studying the temporal and spatial distribution of tourist flow is a key issue in the field of tourism. Li built a big data platform based on tourism flow information and proposed a data mining technology based on the DA-HKRVM algorithm to predict the distribution of tourist flow in dimensions and time and space [2]. Based on tourism big data analysis, Kang and Jwa have developed an android-based smart tourism application for a single tourist. The tourism big data platform analyzes the call data records (CDR) of the mobile communication network and the access logs of WiFiAP and beacons to provide tourists with information about tourist destinations and festivals. The big data platform also provides tourists’ credit card usage patterns through big data analysis. Although tourist products, tourist destinations, and tourist attractions information will be recommended on this application, the recommended tourist products and tourist attractions are provided based on tourism big data analysis [3]. Jensen et al. systematically analyzed the different effects of different types of on-site factors on the satisfaction of tourists at different attractions [4].The innovations of this paper are as follows. (1) A user teaming scheme based on channel state sorting is presented to reduce the complexity of the cooperative NOMA system and the amount of channel state information (CSI) interaction. (2) Using database technology to create a database in B/S mode not only makes the system have a better and more accurate structure but also makes it easier to create a database and improves system performance. (3) The design of the paper, based on a 5G tourism area, is more comprehensive than what the traditional tourist information platform can display and also promotes the understanding of tourism.


## 2. Architecture Method of Tourist Attraction Information Platform Based on 5G Transmission Technology

### 2.1. NOMA

The basic idea of NOMA is to adopt nonorthogonal transmission at the sender, actively introduce interference information, and achieve correct demodulation at the receiver by serial interference deletion (SIC). Nonorthogonal multiple access technology NOMA is a power division multiple access scheme. It is different from orthogonal multiple access technology through scheduling in the frequency domain or code domain to achieve diversity gain. Nonorthogonal multiple access technology NOMA uses different channel gains. In this case, multiple users are superimposed on the power domain to obtain multiplexing gain. At the transmitting end, signals of different transmit powers are completely multiplexed in frequency and distinguished only by power; at the receiving end, based on different channel gains, the serial interference cancellation algorithm is used to solve all users’ signals in turn. Multiple access is one of the key technologies of the wireless physical layer [5, 6]. In the field of wireless communication, the CSI is the channel attribute of the communication link. From 2G TDMA, FDMA to 3G CDMA, and then to the 4G OFDMA era, the multiple access methods are basically orthogonal multiple access; that is, mobile users use orthogonal to the time domain, frequency domain, and access code [7, 8]. Multichannel access technology has the problem that the number of access users is proportional to the vertical resources. Therefore, in order to meet the needs of 5G large-scale connections, the communication capabilities of the system are limited, and new access technologies are urgently needed. Table 1 shows the requirements of 5G deployment scenarios for multiple access technologies and the main challenges they face.Table 1
5G deployment scenarios for multiple access technology requirements and challenges.
ScenesDemand for multiple access technologyMain challengeHot spot high capacityImprove upstream and downstream system capacityPeak rate of tens of G bit/s, traffic density of tens of T bit/s/km 2 and user experience rate of 1G bit/sContinuous wide area coverageImprove the throughput of cell edge usersGive users a user experience rate of 100 M bit/s anytime and anywhereHigh reliability and low latencyReduce user access delay and ensure reliable transmissionProvide users with highly reliable services, millisecond end-to-end delay, and 1 ms air interface delayLarge connection and low power consumptionSignificantly increase the number of connected users that the system can supportAchieve the connection density index of106 devices/ km2


#### 2.1.1. Introduction to NOMA

The traditional orthogonal multiple access technology allocates a single wireless resource to a single mobile user in the three dimensions of time, frequency, and code. The transmission resources of different users are rectangular with each other, and there is no mutual interference between them [9, 10]. In orthogonal multiple access technology, each user uses “subchannels” to communicate. There is no mutual interference between user data during demodulation, and it is easy to separate user data. However, in order to ensure the orthogonality between user information, the orthogonal access scheme often requires very strict access procedures and controls, such as strict synchronization, scheduling, and resource allocation, especially in mobile communications [11, 12]. Nonorthogonal multiple access technology allows multiple users to carry information on the same time-frequency resources, and each user’s information is transmitted on the “entire channel.” The nonorthogonal multiple access technology is designed based on the fact that user information can be mixed together for transmission and at the same time can relax complex processes such as synchronization, scheduling, and industrial control. This provides the system with flexibility that orthogonal access does not have, simplifies the user access process, and shortens the time required for user access [13, 14].When using the NOMA technology, mobile users with weaker received signals need to decode the interference first and then decode the signal sent to themselves [15–17]. In this way, the data transmission rate of mobile users with weak signals can be increased and the optimal capacity of the system can be obtained. Through simulation experiments, number theory transformation (NTT) verified that the use of NOMA technology in urban areas can increase the total throughput of wireless access macrocells by about 50% [18]. NOMA technology can increase the spectral efficiency of weak-signal mobile users by about 48%, and the spectral efficiency of strong-signal mobile users by about 32% [19].


#### 2.1.2. NOMA Technical Advantages

(1) Wider Application Scenarios. NOMA technology has no other requirements for spectrum resources and location selection and can be applied to low-frequency spectrum and high-frequency spectrum, reverse link and access link, and small and macrobase stations [20, 21]. At the same time, the enhanced core processing capabilities of base stations and mobile terminals will provide a solid technical foundation for the application of nonrectangular multiple access technology. Multiple access technology is a technology that enables multiple users to access and share the same wireless communication channel to improve spectrum utilization.(2) Can be Used in Massive Connection Scenarios. NOMA technology can significantly increase the number of mobile user connections [22], so it is suitable for connection scenarios with a large number of mobile user equipment. Especially, in the uplink using sparse code multiple access, because the random access mechanism can be designed without scheduling, it greatly reduces the burden of many small packet service signals, thereby reducing the delay of user equipment access [23, 24]. This makes the system not only able to serve more mobile users at the same time but also has good adaptability to the dynamic changes in the number of mobile users.(3) The Performance Is Robust. Performance robustness is the steady-state performance index of accurately tracking the external reference input signal and completely eliminating the influence of disturbance. NOMA technology performs multiuser signal detection at the receiving end, so only the receiving end needs to obtain relevant channel state information. This enhances the accuracy of channel state information on the one hand and reduces the feedback of channel state information on the other hand [25]. This makes the NOMA technology more robust in practical applications (especially in high-speed mobile scenarios).


### 2.2. B/S Mode

The modern popular B/S architecture model is based on the improvement of the B/S architecture [26, 27]. B/S structure is a network structure mode after the rise of web. Web browser is the most important application software of the client. This mode unified the client, centralized the core part of system function realization on the server, and simplified the development, maintenance, and use of the system. As shown in Figure 1, the client can operate through related browsers such as WWW and can send logical transaction “requests” to the web application server through the Internet, and the web application server receives and processes the logical transaction “requests” sent by the client. Then, apply logic processing to it, and send tasks that require data processing to the database data processing server. The database data processing server on the database side will give the corresponding “response,” and the result will be returned to the browser through the web application server. Form the so-called “three-layer structure” [28, 29].Figure 1
B/S mode.The three-tier structure of the B/S structure is as follows. (1) First is the presentation layer, that is, the client browser [30]. The English service located in the client browser mainly includes the presentation logic. It can send the relevant application logic transaction “request” signal to a certain web application server on the network through the browser. After the user identity of the application browser is successfully verified, the required web page information is sent to the client browser using the HTTP protocol. After the client receives the requested result home page file from the web application server, it can be downloaded via the Internet. It is displayed on the web application browser to meet the relevant needs of users [31, 32]. (2) Second is the application layer, web application server. The web application server is composed of the business processing logic of the system and is located on the web application server side. Its main task is to accept “requests” sent by users through the client to first run related applications to connect to the database and generate “requests” to process data on the database processing server [33]. The structured query language is abbreviated as SQL, which is a special purpose programming language, a database query, and programming language used to access data and query, update, and manage relational database systems through SQL and other servers and then wait for the database information to return to the web application server before processing and then return to the client [34, 35]. Structured query language is a special purpose programming language, a database query, and programming language, used to access data, query update, and management of relational database systems. (3) Third is data layer, database processing server, which is composed of system data logic and database, located at the database processing server side. Its main purpose is to receive “requests” from the web application server for processing data, query, modify and update the database and send the result “response” to the application server.


### 2.3. Principle of K-Means Algorithm

Key points of K-means algorithm are as follows.


#### 2.3.1. Selection ofk Value

The value ofk is manually given.


#### 2.3.2. Measurement of Distance

Given samplesxi=x1i,x2i,…,xni and xj=x1j,x2j,…,xnj, where i,j=1,2,…,m represents the number of samples and n represents the number of features. Distance is mainly divided into the following measurement methods.(1) Distance Measurement of Ordered Attributes. Minkowski distance is as follows:(1)distmkxi,xj=∑u=1nxui−xujp1/p.Euclidean distance, that is, the Minkowski distance whenp = 2 is as follows:(2)distedxi,xj=xi−xj2=∑u=1nxui−xuj2.Manhattan distance, that is, Minkowski distance whenp = 1 is as follows:(3)distmanxi,xj=xi−xj1=∑u=1nxui−xuj.(2) Disorder Attribute Distance Measurement. (4)VDMpxui−xuj=∑z=1kmu,xui,zmu,xui−mu,xuj,zmu,xujp,where mu,xui represents the number of samples whose value is xui on attribute u, mu,xui,z represents the number of samples whose value is xui on attribute u in the z-th sample cluster, and VDMpxui−xuj represents the VDM of two discrete values xui and xuj on attribute u distance.(3) Mixed Attribute Distance Measurement, Which Is a Combination of Order and Disorder.(5)MinkovDMpxi,xj=∑u=1ncxui−xujp+∑u=nc+1nVDMpxui−xuj1/p.


#### 2.3.3. Entropy

Let CS (clustering solution) be the solution of clustering; the probability that clusterj belongs to category i is Pij and the entropy of cluster j is defined as(6)Ej=∑ipijlogpij.The total entropy of the cluster set is defined as the weighted sum of the entropy of each cluster according to its size, which is(7)Ecs=∑j=1knjn⋅Ej.Here,nj is the size of cluster j, k is the number of clusters, and n is the number of all objects. The ideal clustering result is that the documents in the cluster come from a single category; at this time, generally speaking, the smaller the entropy value, the better the clustering result [36].


#### 2.3.4. Feature Measurement

The feature measurement is based on the precision and recall of information retrieval:(8)Fi,j=2×recall×precisionrecall+precision.The precision and recall rates are, respectively, obtained by the following methods:relevant: the collection of documents related to a certain query; retrieved: the collection of documents retrieved by the system; relevant∩retrieved: the collection of actual documents that are both related and retrieved; precision: the percentage of the actual number of documents retrieved and related to the number of documents retrieved by the system.(9)Precision=relevant∩retrievedretrieved.Recall is the percentage of the actual number of documents that are both relevant and retrieved to the number of documents related to the query.(10)Precision=relevant∩retrievedrelevant.The characteristic measurements of all objects are(11)F=∑ininmaxFi,j,where max represents all clusters; n is the number of documents.


## 2.1. NOMA

The basic idea of NOMA is to adopt nonorthogonal transmission at the sender, actively introduce interference information, and achieve correct demodulation at the receiver by serial interference deletion (SIC). Nonorthogonal multiple access technology NOMA is a power division multiple access scheme. It is different from orthogonal multiple access technology through scheduling in the frequency domain or code domain to achieve diversity gain. Nonorthogonal multiple access technology NOMA uses different channel gains. In this case, multiple users are superimposed on the power domain to obtain multiplexing gain. At the transmitting end, signals of different transmit powers are completely multiplexed in frequency and distinguished only by power; at the receiving end, based on different channel gains, the serial interference cancellation algorithm is used to solve all users’ signals in turn. Multiple access is one of the key technologies of the wireless physical layer [5, 6]. In the field of wireless communication, the CSI is the channel attribute of the communication link. From 2G TDMA, FDMA to 3G CDMA, and then to the 4G OFDMA era, the multiple access methods are basically orthogonal multiple access; that is, mobile users use orthogonal to the time domain, frequency domain, and access code [7, 8]. Multichannel access technology has the problem that the number of access users is proportional to the vertical resources. Therefore, in order to meet the needs of 5G large-scale connections, the communication capabilities of the system are limited, and new access technologies are urgently needed. Table 1 shows the requirements of 5G deployment scenarios for multiple access technologies and the main challenges they face.Table 1
5G deployment scenarios for multiple access technology requirements and challenges.
ScenesDemand for multiple access technologyMain challengeHot spot high capacityImprove upstream and downstream system capacityPeak rate of tens of G bit/s, traffic density of tens of T bit/s/km 2 and user experience rate of 1G bit/sContinuous wide area coverageImprove the throughput of cell edge usersGive users a user experience rate of 100 M bit/s anytime and anywhereHigh reliability and low latencyReduce user access delay and ensure reliable transmissionProvide users with highly reliable services, millisecond end-to-end delay, and 1 ms air interface delayLarge connection and low power consumptionSignificantly increase the number of connected users that the system can supportAchieve the connection density index of106 devices/ km2


### 2.1.1. Introduction to NOMA

The traditional orthogonal multiple access technology allocates a single wireless resource to a single mobile user in the three dimensions of time, frequency, and code. The transmission resources of different users are rectangular with each other, and there is no mutual interference between them [9, 10]. In orthogonal multiple access technology, each user uses “subchannels” to communicate. There is no mutual interference between user data during demodulation, and it is easy to separate user data. However, in order to ensure the orthogonality between user information, the orthogonal access scheme often requires very strict access procedures and controls, such as strict synchronization, scheduling, and resource allocation, especially in mobile communications [11, 12]. Nonorthogonal multiple access technology allows multiple users to carry information on the same time-frequency resources, and each user’s information is transmitted on the “entire channel.” The nonorthogonal multiple access technology is designed based on the fact that user information can be mixed together for transmission and at the same time can relax complex processes such as synchronization, scheduling, and industrial control. This provides the system with flexibility that orthogonal access does not have, simplifies the user access process, and shortens the time required for user access [13, 14].When using the NOMA technology, mobile users with weaker received signals need to decode the interference first and then decode the signal sent to themselves [15–17]. In this way, the data transmission rate of mobile users with weak signals can be increased and the optimal capacity of the system can be obtained. Through simulation experiments, number theory transformation (NTT) verified that the use of NOMA technology in urban areas can increase the total throughput of wireless access macrocells by about 50% [18]. NOMA technology can increase the spectral efficiency of weak-signal mobile users by about 48%, and the spectral efficiency of strong-signal mobile users by about 32% [19].


### 2.1.2. NOMA Technical Advantages

(1) Wider Application Scenarios. NOMA technology has no other requirements for spectrum resources and location selection and can be applied to low-frequency spectrum and high-frequency spectrum, reverse link and access link, and small and macrobase stations [20, 21]. At the same time, the enhanced core processing capabilities of base stations and mobile terminals will provide a solid technical foundation for the application of nonrectangular multiple access technology. Multiple access technology is a technology that enables multiple users to access and share the same wireless communication channel to improve spectrum utilization.(2) Can be Used in Massive Connection Scenarios. NOMA technology can significantly increase the number of mobile user connections [22], so it is suitable for connection scenarios with a large number of mobile user equipment. Especially, in the uplink using sparse code multiple access, because the random access mechanism can be designed without scheduling, it greatly reduces the burden of many small packet service signals, thereby reducing the delay of user equipment access [23, 24]. This makes the system not only able to serve more mobile users at the same time but also has good adaptability to the dynamic changes in the number of mobile users.(3) The Performance Is Robust. Performance robustness is the steady-state performance index of accurately tracking the external reference input signal and completely eliminating the influence of disturbance. NOMA technology performs multiuser signal detection at the receiving end, so only the receiving end needs to obtain relevant channel state information. This enhances the accuracy of channel state information on the one hand and reduces the feedback of channel state information on the other hand [25]. This makes the NOMA technology more robust in practical applications (especially in high-speed mobile scenarios).


## 2.1.1. Introduction to NOMA

The traditional orthogonal multiple access technology allocates a single wireless resource to a single mobile user in the three dimensions of time, frequency, and code. The transmission resources of different users are rectangular with each other, and there is no mutual interference between them [9, 10]. In orthogonal multiple access technology, each user uses “subchannels” to communicate. There is no mutual interference between user data during demodulation, and it is easy to separate user data. However, in order to ensure the orthogonality between user information, the orthogonal access scheme often requires very strict access procedures and controls, such as strict synchronization, scheduling, and resource allocation, especially in mobile communications [11, 12]. Nonorthogonal multiple access technology allows multiple users to carry information on the same time-frequency resources, and each user’s information is transmitted on the “entire channel.” The nonorthogonal multiple access technology is designed based on the fact that user information can be mixed together for transmission and at the same time can relax complex processes such as synchronization, scheduling, and industrial control. This provides the system with flexibility that orthogonal access does not have, simplifies the user access process, and shortens the time required for user access [13, 14].When using the NOMA technology, mobile users with weaker received signals need to decode the interference first and then decode the signal sent to themselves [15–17]. In this way, the data transmission rate of mobile users with weak signals can be increased and the optimal capacity of the system can be obtained. Through simulation experiments, number theory transformation (NTT) verified that the use of NOMA technology in urban areas can increase the total throughput of wireless access macrocells by about 50% [18]. NOMA technology can increase the spectral efficiency of weak-signal mobile users by about 48%, and the spectral efficiency of strong-signal mobile users by about 32% [19].


## 2.1.2. NOMA Technical Advantages

(1) Wider Application Scenarios. NOMA technology has no other requirements for spectrum resources and location selection and can be applied to low-frequency spectrum and high-frequency spectrum, reverse link and access link, and small and macrobase stations [20, 21]. At the same time, the enhanced core processing capabilities of base stations and mobile terminals will provide a solid technical foundation for the application of nonrectangular multiple access technology. Multiple access technology is a technology that enables multiple users to access and share the same wireless communication channel to improve spectrum utilization.(2) Can be Used in Massive Connection Scenarios. NOMA technology can significantly increase the number of mobile user connections [22], so it is suitable for connection scenarios with a large number of mobile user equipment. Especially, in the uplink using sparse code multiple access, because the random access mechanism can be designed without scheduling, it greatly reduces the burden of many small packet service signals, thereby reducing the delay of user equipment access [23, 24]. This makes the system not only able to serve more mobile users at the same time but also has good adaptability to the dynamic changes in the number of mobile users.(3) The Performance Is Robust. Performance robustness is the steady-state performance index of accurately tracking the external reference input signal and completely eliminating the influence of disturbance. NOMA technology performs multiuser signal detection at the receiving end, so only the receiving end needs to obtain relevant channel state information. This enhances the accuracy of channel state information on the one hand and reduces the feedback of channel state information on the other hand [25]. This makes the NOMA technology more robust in practical applications (especially in high-speed mobile scenarios).


## 2.2. B/S Mode

The modern popular B/S architecture model is based on the improvement of the B/S architecture [26, 27]. B/S structure is a network structure mode after the rise of web. Web browser is the most important application software of the client. This mode unified the client, centralized the core part of system function realization on the server, and simplified the development, maintenance, and use of the system. As shown in Figure 1, the client can operate through related browsers such as WWW and can send logical transaction “requests” to the web application server through the Internet, and the web application server receives and processes the logical transaction “requests” sent by the client. Then, apply logic processing to it, and send tasks that require data processing to the database data processing server. The database data processing server on the database side will give the corresponding “response,” and the result will be returned to the browser through the web application server. Form the so-called “three-layer structure” [28, 29].Figure 1
B/S mode.The three-tier structure of the B/S structure is as follows. (1) First is the presentation layer, that is, the client browser [30]. The English service located in the client browser mainly includes the presentation logic. It can send the relevant application logic transaction “request” signal to a certain web application server on the network through the browser. After the user identity of the application browser is successfully verified, the required web page information is sent to the client browser using the HTTP protocol. After the client receives the requested result home page file from the web application server, it can be downloaded via the Internet. It is displayed on the web application browser to meet the relevant needs of users [31, 32]. (2) Second is the application layer, web application server. The web application server is composed of the business processing logic of the system and is located on the web application server side. Its main task is to accept “requests” sent by users through the client to first run related applications to connect to the database and generate “requests” to process data on the database processing server [33]. The structured query language is abbreviated as SQL, which is a special purpose programming language, a database query, and programming language used to access data and query, update, and manage relational database systems through SQL and other servers and then wait for the database information to return to the web application server before processing and then return to the client [34, 35]. Structured query language is a special purpose programming language, a database query, and programming language, used to access data, query update, and management of relational database systems. (3) Third is data layer, database processing server, which is composed of system data logic and database, located at the database processing server side. Its main purpose is to receive “requests” from the web application server for processing data, query, modify and update the database and send the result “response” to the application server.


## 2.3. Principle of K-Means Algorithm

Key points of K-means algorithm are as follows.


### 2.3.1. Selection ofk Value

The value ofk is manually given.


### 2.3.2. Measurement of Distance

Given samplesxi=x1i,x2i,…,xni and xj=x1j,x2j,…,xnj, where i,j=1,2,…,m represents the number of samples and n represents the number of features. Distance is mainly divided into the following measurement methods.(1) Distance Measurement of Ordered Attributes. Minkowski distance is as follows:(1)distmkxi,xj=∑u=1nxui−xujp1/p.Euclidean distance, that is, the Minkowski distance whenp = 2 is as follows:(2)distedxi,xj=xi−xj2=∑u=1nxui−xuj2.Manhattan distance, that is, Minkowski distance whenp = 1 is as follows:(3)distmanxi,xj=xi−xj1=∑u=1nxui−xuj.(2) Disorder Attribute Distance Measurement. (4)VDMpxui−xuj=∑z=1kmu,xui,zmu,xui−mu,xuj,zmu,xujp,where mu,xui represents the number of samples whose value is xui on attribute u, mu,xui,z represents the number of samples whose value is xui on attribute u in the z-th sample cluster, and VDMpxui−xuj represents the VDM of two discrete values xui and xuj on attribute u distance.(3) Mixed Attribute Distance Measurement, Which Is a Combination of Order and Disorder.(5)MinkovDMpxi,xj=∑u=1ncxui−xujp+∑u=nc+1nVDMpxui−xuj1/p.


### 2.3.3. Entropy

Let CS (clustering solution) be the solution of clustering; the probability that clusterj belongs to category i is Pij and the entropy of cluster j is defined as(6)Ej=∑ipijlogpij.The total entropy of the cluster set is defined as the weighted sum of the entropy of each cluster according to its size, which is(7)Ecs=∑j=1knjn⋅Ej.Here,nj is the size of cluster j, k is the number of clusters, and n is the number of all objects. The ideal clustering result is that the documents in the cluster come from a single category; at this time, generally speaking, the smaller the entropy value, the better the clustering result [36].


### 2.3.4. Feature Measurement

The feature measurement is based on the precision and recall of information retrieval:(8)Fi,j=2×recall×precisionrecall+precision.The precision and recall rates are, respectively, obtained by the following methods:relevant: the collection of documents related to a certain query; retrieved: the collection of documents retrieved by the system; relevant∩retrieved: the collection of actual documents that are both related and retrieved; precision: the percentage of the actual number of documents retrieved and related to the number of documents retrieved by the system.(9)Precision=relevant∩retrievedretrieved.Recall is the percentage of the actual number of documents that are both relevant and retrieved to the number of documents related to the query.(10)Precision=relevant∩retrievedrelevant.The characteristic measurements of all objects are(11)F=∑ininmaxFi,j,where max represents all clusters; n is the number of documents.


## 2.3.1. Selection ofk Value

The value ofk is manually given.


## 2.3.2. Measurement of Distance

Given samplesxi=x1i,x2i,…,xni and xj=x1j,x2j,…,xnj, where i,j=1,2,…,m represents the number of samples and n represents the number of features. Distance is mainly divided into the following measurement methods.(1) Distance Measurement of Ordered Attributes. Minkowski distance is as follows:(1)distmkxi,xj=∑u=1nxui−xujp1/p.Euclidean distance, that is, the Minkowski distance whenp = 2 is as follows:(2)distedxi,xj=xi−xj2=∑u=1nxui−xuj2.Manhattan distance, that is, Minkowski distance whenp = 1 is as follows:(3)distmanxi,xj=xi−xj1=∑u=1nxui−xuj.(2) Disorder Attribute Distance Measurement. (4)VDMpxui−xuj=∑z=1kmu,xui,zmu,xui−mu,xuj,zmu,xujp,where mu,xui represents the number of samples whose value is xui on attribute u, mu,xui,z represents the number of samples whose value is xui on attribute u in the z-th sample cluster, and VDMpxui−xuj represents the VDM of two discrete values xui and xuj on attribute u distance.(3) Mixed Attribute Distance Measurement, Which Is a Combination of Order and Disorder.(5)MinkovDMpxi,xj=∑u=1ncxui−xujp+∑u=nc+1nVDMpxui−xuj1/p.


## 2.3.3. Entropy

Let CS (clustering solution) be the solution of clustering; the probability that clusterj belongs to category i is Pij and the entropy of cluster j is defined as(6)Ej=∑ipijlogpij.The total entropy of the cluster set is defined as the weighted sum of the entropy of each cluster according to its size, which is(7)Ecs=∑j=1knjn⋅Ej.Here,nj is the size of cluster j, k is the number of clusters, and n is the number of all objects. The ideal clustering result is that the documents in the cluster come from a single category; at this time, generally speaking, the smaller the entropy value, the better the clustering result [36].


## 2.3.4. Feature Measurement

The feature measurement is based on the precision and recall of information retrieval:(8)Fi,j=2×recall×precisionrecall+precision.The precision and recall rates are, respectively, obtained by the following methods:relevant: the collection of documents related to a certain query; retrieved: the collection of documents retrieved by the system; relevant∩retrieved: the collection of actual documents that are both related and retrieved; precision: the percentage of the actual number of documents retrieved and related to the number of documents retrieved by the system.(9)Precision=relevant∩retrievedretrieved.Recall is the percentage of the actual number of documents that are both relevant and retrieved to the number of documents related to the query.(10)Precision=relevant∩retrievedrelevant.The characteristic measurements of all objects are(11)F=∑ininmaxFi,j,where max represents all clusters; n is the number of documents.


## 3. Architecture Experiment of Tourist Attractions Information Platform Based on 5G Transmission Technology

### 3.1. Overall Scheme Design

The tourist attraction information management system is a complex open system, involving multiple subsystems such as attractions subsystems, hotel subsystems, restaurant subsystems, entertainment subsystems, shopping subsystems, and expert recommendation subsystems, and other systems, such as transportation. The traffic system of the department and the environmental system of the environmental department have service and feedback information flows between each subsystem. Through the information exchange of these related information flows, the normal operation of the entire system is realized.


#### 3.1.1. Network Topology Design

The network topological structure of the tourist attraction information management system is shown in Figure2.Figure 2
The network topology of the tourist attraction information management system.


#### 3.1.2. System Architecture Design

To meet the user needs, the travel information management system, and the general use of computer networks, the B/S structure is selected to design and develop the information management system of the tourist attraction. Based on the B/S model of the tourist attraction information management system, as the number of client users continues to increase, resulting in increasing pressure on the web server, an application server layer is added to share the pressure on the web server. The web server layer and the application server layer have their own intelligence. The web request is completed by the web server, and the business logic is completed by the application server. Finally, the structure of the tourist attraction information management system is divided into four layers.The application service layer completes most of the system functions, and most of the business logic levels are supplemented by the business essence level and the business rule level. Additionally, the application server layer includes the entity layer, data layer, data access layer, and system configuration. The system configuration level completes the configuration of the parameters involved in the system design process. The access level mainly refers to the function of the database. Data layer refers to one of the three layers of ASP.NET system, including data layer, business logic layer, and presentation layer, including the control of data, such as query and modification. This level describes the real entity. The level of business logic and rules refers to the ability to process most logical businesses through many rules, and the level of business nature is the interface of the connected web service layer.The structural layer of the system has several advantages. For example, it can help developers learn more about the structure of the system. During the development process, different design methods are used for different levels of operation, and when certain levels appear, problems may soon be encountered. Tourist destination information management system users access the web through the client browser. When the web server receives the request and forwards the request to the application server, the application server will process the request received through the database function and then return the result. At the web service level, it finally appears in the client browser.


### 3.2. Overall Design of the Database

The design and operation of any system requires database support, so database design and analysis are necessary links in the system development process. First, analyze the system data flow and obtain data charts and then analyze the database ER diagram. ER diagrams are also called entity-connection diagrams, which provide a method of representing entity types, attributes, and connections, and are used to describe the conceptual model of the real world, and finally design the logical structure of the database and build the database. According to demand analysis, determine the entities in the system and analyze their attributes. The relationship between entities is an important object of research. There are one-to-one, one-to-many, and many-to-many relationships between entities. The travel service system can be divided into two parts: the front system and the back system.There are roughly six stages in database design.


#### 3.2.1. Demand Collection and Analysis

In database design, the design of the conceptual structure is the foundation and the information structure that users are most concerned about in the entire database design. Its goal is mainly to investigate and analyze the problems (objects) to be handled in the display based on the understanding of the system overview, so as to determine the functions of the system to be designed.


#### 3.2.2. Conceptual Structure Design

The conceptual structure was previously introduced. What needs to be added here is that it is independent of the logical structure of the database, and it can fully reflect the actual situation and can be modified and expanded when the situation changes. The conceptual structure design is easier for users to understand. It can be said that it is a real model of display realization.


#### 3.2.3. Logical Structure Design

Currently, most databases are used as relational databases. For relational databases, the design of the logical structure depends on the characteristics and limitations of the DBMS to be converted into a data model supported by a dedicated DBMS. Therefore, the logical database design is a process of converting the conceptual structure into a model, compatible with selected DBMS.


#### 3.2.4. Database Physical Design

In fact, the design of the database mainly includes two aspects of design, that is, logical design and physical design. The logic design was previously introduced. The physical design should follow the logical design. The physical design process of the database is the process of selecting an appropriate application environment for the designed logical data model. The environment mainly refers to the data structure and access method.


#### 3.2.5. Implementation of the Database

After the design of the database is completed, the database should be established and implemented. The establishment and implementation here are similar to the coding in software engineering.


#### 3.2.6. Database Operation and Maintenance

Putting the database into operation is the completion of database development and the beginning of database maintenance. The design of any database, if the database exists for one day, must be continuously evaluated, adjusted, or even completely changed. Therefore, the maintenance of the database is the continuation and improvement of the design, and it is also a necessary activity.


### 3.3. Software and Hardware Platform

The software, software and hardware platforms required for system development and operation are described as follows. First is the software platform: (1) database management system: SQL Server 2008 is used as the database system to store and manage tourist attractions information data; (2) operating system: Microsoft’s Windows XP operating system; (3) software development platform: Microsoft’s dynamics web development platform ASP.NET and development tools Visualstudio2008. Second is the hardware platform: (1) network; (2) data server; (3) graphic workstation; (4) user terminal.


## 3.1. Overall Scheme Design

The tourist attraction information management system is a complex open system, involving multiple subsystems such as attractions subsystems, hotel subsystems, restaurant subsystems, entertainment subsystems, shopping subsystems, and expert recommendation subsystems, and other systems, such as transportation. The traffic system of the department and the environmental system of the environmental department have service and feedback information flows between each subsystem. Through the information exchange of these related information flows, the normal operation of the entire system is realized.


### 3.1.1. Network Topology Design

The network topological structure of the tourist attraction information management system is shown in Figure2.Figure 2
The network topology of the tourist attraction information management system.


### 3.1.2. System Architecture Design

To meet the user needs, the travel information management system, and the general use of computer networks, the B/S structure is selected to design and develop the information management system of the tourist attraction. Based on the B/S model of the tourist attraction information management system, as the number of client users continues to increase, resulting in increasing pressure on the web server, an application server layer is added to share the pressure on the web server. The web server layer and the application server layer have their own intelligence. The web request is completed by the web server, and the business logic is completed by the application server. Finally, the structure of the tourist attraction information management system is divided into four layers.The application service layer completes most of the system functions, and most of the business logic levels are supplemented by the business essence level and the business rule level. Additionally, the application server layer includes the entity layer, data layer, data access layer, and system configuration. The system configuration level completes the configuration of the parameters involved in the system design process. The access level mainly refers to the function of the database. Data layer refers to one of the three layers of ASP.NET system, including data layer, business logic layer, and presentation layer, including the control of data, such as query and modification. This level describes the real entity. The level of business logic and rules refers to the ability to process most logical businesses through many rules, and the level of business nature is the interface of the connected web service layer.The structural layer of the system has several advantages. For example, it can help developers learn more about the structure of the system. During the development process, different design methods are used for different levels of operation, and when certain levels appear, problems may soon be encountered. Tourist destination information management system users access the web through the client browser. When the web server receives the request and forwards the request to the application server, the application server will process the request received through the database function and then return the result. At the web service level, it finally appears in the client browser.


## 3.1.1. Network Topology Design

The network topological structure of the tourist attraction information management system is shown in Figure2.Figure 2
The network topology of the tourist attraction information management system.


## 3.1.2. System Architecture Design

To meet the user needs, the travel information management system, and the general use of computer networks, the B/S structure is selected to design and develop the information management system of the tourist attraction. Based on the B/S model of the tourist attraction information management system, as the number of client users continues to increase, resulting in increasing pressure on the web server, an application server layer is added to share the pressure on the web server. The web server layer and the application server layer have their own intelligence. The web request is completed by the web server, and the business logic is completed by the application server. Finally, the structure of the tourist attraction information management system is divided into four layers.The application service layer completes most of the system functions, and most of the business logic levels are supplemented by the business essence level and the business rule level. Additionally, the application server layer includes the entity layer, data layer, data access layer, and system configuration. The system configuration level completes the configuration of the parameters involved in the system design process. The access level mainly refers to the function of the database. Data layer refers to one of the three layers of ASP.NET system, including data layer, business logic layer, and presentation layer, including the control of data, such as query and modification. This level describes the real entity. The level of business logic and rules refers to the ability to process most logical businesses through many rules, and the level of business nature is the interface of the connected web service layer.The structural layer of the system has several advantages. For example, it can help developers learn more about the structure of the system. During the development process, different design methods are used for different levels of operation, and when certain levels appear, problems may soon be encountered. Tourist destination information management system users access the web through the client browser. When the web server receives the request and forwards the request to the application server, the application server will process the request received through the database function and then return the result. At the web service level, it finally appears in the client browser.


## 3.2. Overall Design of the Database

The design and operation of any system requires database support, so database design and analysis are necessary links in the system development process. First, analyze the system data flow and obtain data charts and then analyze the database ER diagram. ER diagrams are also called entity-connection diagrams, which provide a method of representing entity types, attributes, and connections, and are used to describe the conceptual model of the real world, and finally design the logical structure of the database and build the database. According to demand analysis, determine the entities in the system and analyze their attributes. The relationship between entities is an important object of research. There are one-to-one, one-to-many, and many-to-many relationships between entities. The travel service system can be divided into two parts: the front system and the back system.There are roughly six stages in database design.


### 3.2.1. Demand Collection and Analysis

In database design, the design of the conceptual structure is the foundation and the information structure that users are most concerned about in the entire database design. Its goal is mainly to investigate and analyze the problems (objects) to be handled in the display based on the understanding of the system overview, so as to determine the functions of the system to be designed.


### 3.2.2. Conceptual Structure Design

The conceptual structure was previously introduced. What needs to be added here is that it is independent of the logical structure of the database, and it can fully reflect the actual situation and can be modified and expanded when the situation changes. The conceptual structure design is easier for users to understand. It can be said that it is a real model of display realization.


### 3.2.3. Logical Structure Design

Currently, most databases are used as relational databases. For relational databases, the design of the logical structure depends on the characteristics and limitations of the DBMS to be converted into a data model supported by a dedicated DBMS. Therefore, the logical database design is a process of converting the conceptual structure into a model, compatible with selected DBMS.


### 3.2.4. Database Physical Design

In fact, the design of the database mainly includes two aspects of design, that is, logical design and physical design. The logic design was previously introduced. The physical design should follow the logical design. The physical design process of the database is the process of selecting an appropriate application environment for the designed logical data model. The environment mainly refers to the data structure and access method.


### 3.2.5. Implementation of the Database

After the design of the database is completed, the database should be established and implemented. The establishment and implementation here are similar to the coding in software engineering.


### 3.2.6. Database Operation and Maintenance

Putting the database into operation is the completion of database development and the beginning of database maintenance. The design of any database, if the database exists for one day, must be continuously evaluated, adjusted, or even completely changed. Therefore, the maintenance of the database is the continuation and improvement of the design, and it is also a necessary activity.


## 3.2.1. Demand Collection and Analysis

In database design, the design of the conceptual structure is the foundation and the information structure that users are most concerned about in the entire database design. Its goal is mainly to investigate and analyze the problems (objects) to be handled in the display based on the understanding of the system overview, so as to determine the functions of the system to be designed.


## 3.2.2. Conceptual Structure Design

The conceptual structure was previously introduced. What needs to be added here is that it is independent of the logical structure of the database, and it can fully reflect the actual situation and can be modified and expanded when the situation changes. The conceptual structure design is easier for users to understand. It can be said that it is a real model of display realization.


## 3.2.3. Logical Structure Design

Currently, most databases are used as relational databases. For relational databases, the design of the logical structure depends on the characteristics and limitations of the DBMS to be converted into a data model supported by a dedicated DBMS. Therefore, the logical database design is a process of converting the conceptual structure into a model, compatible with selected DBMS.


## 3.2.4. Database Physical Design

In fact, the design of the database mainly includes two aspects of design, that is, logical design and physical design. The logic design was previously introduced. The physical design should follow the logical design. The physical design process of the database is the process of selecting an appropriate application environment for the designed logical data model. The environment mainly refers to the data structure and access method.


## 3.2.5. Implementation of the Database

After the design of the database is completed, the database should be established and implemented. The establishment and implementation here are similar to the coding in software engineering.


## 3.2.6. Database Operation and Maintenance

Putting the database into operation is the completion of database development and the beginning of database maintenance. The design of any database, if the database exists for one day, must be continuously evaluated, adjusted, or even completely changed. Therefore, the maintenance of the database is the continuation and improvement of the design, and it is also a necessary activity.


## 3.3. Software and Hardware Platform

The software, software and hardware platforms required for system development and operation are described as follows. First is the software platform: (1) database management system: SQL Server 2008 is used as the database system to store and manage tourist attractions information data; (2) operating system: Microsoft’s Windows XP operating system; (3) software development platform: Microsoft’s dynamics web development platform ASP.NET and development tools Visualstudio2008. Second is the hardware platform: (1) network; (2) data server; (3) graphic workstation; (4) user terminal.


## 4. Experimental Results and Analysis

### 4.1. Analysis of the Tourist Attractions Information Data Sheet

The design of database tables is the basis and premise of database design. The data tables involved in the tourist attraction information management system mainly include the following tables.


#### 4.1.1. Tour Route Management Table

This table stores the relevant data of the tourist route, including route number, route name, route type, route time, and route price. The structure is shown in Table2.Table 2
Tour route list.
Column nameType of dataAllow emptyRemarksRoute numberIntNoNumberingRoute namechar (10)NoRoute nameRoute typechar (10)YesRoute typeRoute pricechar (10)YesRoute priceRoute timechar (10)YesDays


#### 4.1.2. Picture Management Table

This table stores tourism picture related data, including scenic spot picture numbers, scenic spot picture names, landscape pictures, and so on. The structure is shown in Table3.Table 3
Picture management table.
Column nameType of dataAllow emptyRemarksAttraction picture numberIntNoNumberingAttraction picture namevarchar (50)YesRoute nameLandscapevarchar (max)YesImage


#### 4.1.3. User Information Table

This table stores the user information of the tourist attraction information management system, including the number, administrator, and password. The structure is shown in Table4.Table 4
User information table.
Column nameType of dataAllow emptyRemarksNumberingIntNoNumberingAdministratorchar (10)NoAdministratorPasswordchar (10)YesPassword


### 4.2. Analysis of the Hotel Information Data Sheet

Hotel Type Database Table and Hotel Information Database Table. Similar to tourist route information management, hotel information also adopts classified and hierarchical management. Therefore, the hotel type table is first designed, and the category ID (classID), category name (className), category setting (setting), and so on are defined, respectively. It should be noted that the category ID, category name, and so on defined here need to be distinguished from the definitions in Table 4. A byte is a unit of measurement used in computer information technology to measure storage capacity. It also represents data types and language characters in some computer programming languages. The byte length of each name in the hotel type table and hotel information table is shown in Figure 3.Figure 3
Byte length of each name in the hotel type table and hotel information table.


### 4.3. Platform Implementation

After completing the previously mentioned analysis work, the information service platform will be implemented. In the case of a nonmember, the user enters the platform through a mobile browser and needs to register. After the registration is successful, the user can log in. If the user is already a registered member of the platform, they only need to directly use the username and the corresponding user password to use the services provided by the platform. The traffic information service interface provides travelers with related services, such as route planning, navigation, and guiding tourist destinations to tourist attractions. Tourists can request real-time traffic information for tourist attractions. For self-guided travelers, this feature is very convenient.Hotel Reservation Service. Tourists can make online reservations or inquiries about hotels, restaurants, air tickets, parking lots, and tickets for entertainment venues in tourist destinations. The information query and display of tourist attractions is mainly to display the information of tourist attractions by classification. After logging in through the browser, users can click on the corresponding city to query the information of relevant tourist attractions.The platform was judged by 500 people from different professions, and 100 people were selected for each profession, with scores ranging from 0–100. The evaluation result is shown in Figure4.Figure 4
Judging results of the platform of this article.In the same way, another tourist attraction information platform is evaluated, and the evaluation result is shown in Figure5.Figure 5
Judging results of other platforms.Comparing Figures4 and 5, we can see that people of different occupations are significantly more satisfied with the tourist attraction information platform proposed in this article than other platforms. By using the weighted average method, we can see that the satisfaction rate is as high as 76.8%.


## 4.1. Analysis of the Tourist Attractions Information Data Sheet

The design of database tables is the basis and premise of database design. The data tables involved in the tourist attraction information management system mainly include the following tables.


### 4.1.1. Tour Route Management Table

This table stores the relevant data of the tourist route, including route number, route name, route type, route time, and route price. The structure is shown in Table2.Table 2
Tour route list.
Column nameType of dataAllow emptyRemarksRoute numberIntNoNumberingRoute namechar (10)NoRoute nameRoute typechar (10)YesRoute typeRoute pricechar (10)YesRoute priceRoute timechar (10)YesDays


### 4.1.2. Picture Management Table

This table stores tourism picture related data, including scenic spot picture numbers, scenic spot picture names, landscape pictures, and so on. The structure is shown in Table3.Table 3
Picture management table.
Column nameType of dataAllow emptyRemarksAttraction picture numberIntNoNumberingAttraction picture namevarchar (50)YesRoute nameLandscapevarchar (max)YesImage


### 4.1.3. User Information Table

This table stores the user information of the tourist attraction information management system, including the number, administrator, and password. The structure is shown in Table4.Table 4
User information table.
Column nameType of dataAllow emptyRemarksNumberingIntNoNumberingAdministratorchar (10)NoAdministratorPasswordchar (10)YesPassword


## 4.1.1. Tour Route Management Table

This table stores the relevant data of the tourist route, including route number, route name, route type, route time, and route price. The structure is shown in Table2.Table 2
Tour route list.
Column nameType of dataAllow emptyRemarksRoute numberIntNoNumberingRoute namechar (10)NoRoute nameRoute typechar (10)YesRoute typeRoute pricechar (10)YesRoute priceRoute timechar (10)YesDays


## 4.1.2. Picture Management Table

This table stores tourism picture related data, including scenic spot picture numbers, scenic spot picture names, landscape pictures, and so on. The structure is shown in Table3.Table 3
Picture management table.
Column nameType of dataAllow emptyRemarksAttraction picture numberIntNoNumberingAttraction picture namevarchar (50)YesRoute nameLandscapevarchar (max)YesImage


## 4.1.3. User Information Table

This table stores the user information of the tourist attraction information management system, including the number, administrator, and password. The structure is shown in Table4.Table 4
User information table.
Column nameType of dataAllow emptyRemarksNumberingIntNoNumberingAdministratorchar (10)NoAdministratorPasswordchar (10)YesPassword


## 4.2. Analysis of the Hotel Information Data Sheet

Hotel Type Database Table and Hotel Information Database Table. Similar to tourist route information management, hotel information also adopts classified and hierarchical management. Therefore, the hotel type table is first designed, and the category ID (classID), category name (className), category setting (setting), and so on are defined, respectively. It should be noted that the category ID, category name, and so on defined here need to be distinguished from the definitions in Table 4. A byte is a unit of measurement used in computer information technology to measure storage capacity. It also represents data types and language characters in some computer programming languages. The byte length of each name in the hotel type table and hotel information table is shown in Figure 3.Figure 3
Byte length of each name in the hotel type table and hotel information table.


## 4.3. Platform Implementation

After completing the previously mentioned analysis work, the information service platform will be implemented. In the case of a nonmember, the user enters the platform through a mobile browser and needs to register. After the registration is successful, the user can log in. If the user is already a registered member of the platform, they only need to directly use the username and the corresponding user password to use the services provided by the platform. The traffic information service interface provides travelers with related services, such as route planning, navigation, and guiding tourist destinations to tourist attractions. Tourists can request real-time traffic information for tourist attractions. For self-guided travelers, this feature is very convenient.Hotel Reservation Service. Tourists can make online reservations or inquiries about hotels, restaurants, air tickets, parking lots, and tickets for entertainment venues in tourist destinations. The information query and display of tourist attractions is mainly to display the information of tourist attractions by classification. After logging in through the browser, users can click on the corresponding city to query the information of relevant tourist attractions.The platform was judged by 500 people from different professions, and 100 people were selected for each profession, with scores ranging from 0–100. The evaluation result is shown in Figure4.Figure 4
Judging results of the platform of this article.In the same way, another tourist attraction information platform is evaluated, and the evaluation result is shown in Figure5.Figure 5
Judging results of other platforms.Comparing Figures4 and 5, we can see that people of different occupations are significantly more satisfied with the tourist attraction information platform proposed in this article than other platforms. By using the weighted average method, we can see that the satisfaction rate is as high as 76.8%.


## 5. Conclusions

In the process of the development of tourism, the diversification and asymmetry of information are very significant. The tourism industry itself is an industry highly dependent on information. Therefore, in order to develop the tourism industry, we must first solve the problem of information communication among tourism consumers, tourism operators, and tourism industry managers. How to enable participants in the tourism industry to communicate accurately and efficiently and obtain and release information on tourist attractions in a timely manner to save costs and optimize tourism services is the problem to be studied in this article. This article is developed in response to this problem. In the context of mobile big data, a fast, efficient, and personalized tourist attraction information platform architecture based on 5G transmission technology is proposed. The information management system of tourist attractions in this article is designed and developed under the B/S mode using new technologies and new methods, which makes the data of tourist attractions information more accurate and makes the real-time information of tourist attractions stand out. The system has better performance, such as practicality and ease of operation, and can not only improve the management efficiency of the tourism management department but also improve the work efficiency of the tourism providing department and the operating efficiency of tourists and promote the development of the tourism industry. The tourist attraction information management system is developed based on the B/S model, which makes the system more concise, convenient, stable, and reliable and, at the same time, makes the tourist attraction information management system have more complete functions and better portability.



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*Source: 3681691-2022-04-13.xml*