# Analysis of Government Public Management Information Service and Computer Model Construction Based on Smart City Construction

Authors: Yulin Liu
Journal: Mathematical Problems in Engineering
 (2022)

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## Abstract

With the continuous development of economy, the traditional urban management system cannot meet the needs of the city. In order to solve many inconvenient urban problems brought by the traditional urban management system and provide convenience for urban development more quickly, the concept of “smart city” has been put forward and gradually applied to urban construction. Based on cloud computing and Internet of things, the service system and construction of smart city were studied in detail; on this basis, the demand of construction of smart city in coastal city A and the construction and practical application of smart city of city A in our country were analyzed so as to provide some reference value for the construction of smart city in our country. Through an in-depth test of the data mining algorithm, this paper verifies the calculation effect of the data mining algorithm and the optimization effect of a smart city public management system.


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## Body

## 1. Introduction

The urban population is more and more; the environmental problems, space problems, and energy problems faced by urban development are becoming more and more serious; the traditional management techniques and methods are difficult to solve increasingly prominent urban problems [1]. In this case, the western developed countries use modern information technology to relocate and recultivate the urban functions so as to solve the key problems encountered in urban development, and they also use intelligent sensors and urban intelligent decision-making platforms to solve the urban syndrome affecting the healthy and sustainable development of urban cities [2]. According to statistics, there are more than 450 cities with more than a million people around the world, and the data will continue to increase with the development of human society [3]. The introduction of the concept of smart city brings new directions and ideas to the research of the urban public management system. The development of smart transportation under the concept of smart city can help to solve the problem of urban traffic congestion. However, the effect of its governance needs to be analyzed by using data mining algorithms. In order to establish a more effective traffic management system, the calculation of the data mining algorithm is first studied, optimizing the calculation formula and calculation form of the data mining algorithm and combining it with the concept of smart city. Then, the urban public management system is analyzed under the concept of smart city, with a city public management system suitable established for China’s national conditions. In the end, the computational power of the data mining algorithm is tested. The test has proved the highly accurate computing performance of the data mining algorithm and the superiority of the urban public management system based on smart city. The increase of the urban population has played a positive role in promoting economic development, but the urban burden and pressure have also seriously restricted the development of the city. The use of the smart city model can create a green, low-carbon, comfortable, and convenient new city style. The construction of smart city has now become an important direction and trend of modern urban development, and has been widely concerned and valued by the global society [4]. Smart city is built on the basis of informatization and networking to create smart city with low resource consumption [5]. The government has begun to put forward the development goals of smart city in the “12th Five-Year” plan. However, the achievements of the construction and development of China’s smart city are very limited, and greater success can not be really achieved.The construction of a smart city must be based on Internet of things to collect, transmit, and process massive data. Cloud computing should be used for data processing and application so as to create intelligent infrastructure and cloud computing services, and build a smart city and a smart city service system model. The innovative arguments of this paper include as follows: (1) The concept of “smart city” is put forward and gradually applied to urban construction. (2) A questionnaire survey was conducted in China’s coastal city A; the demand of residents for smart city is analyzed. (3) The construction and practice of smart city in city A are carried out, and the corresponding construction direction of the smart city information service system is put forward. (4) Through the in-depth test of the data mining algorithm, the calculation effect of the data mining algorithm and the optimization effect of the smart city public management system are verified.This paper is divided into four sections. Section1 expounds on the smart city smart service system. Section 2 cites the literature of smart city management. Section 3 studies the methods of smart city management and expounds the relationship derivation of three kinds of data, smart city service system, smart city construction, and smart city construction mode. In Section 4, the analysis and discussion of the results are explained. Finally, the demand analysis of urban construction and its practical application is explained in Section 5.


## 2. Related Works

Smart city management concept is a new urban planning concept proposed in recent years. It is an urban planning management form extended under the background of big data, Internet of things, and Internet of vehicles [6]. Smart city management plays an important role in urban planning and development. It not only promotes urban traffic development but also occupies an irreplaceable position in urban infrastructure construction. [7]. At the beginning of this century, the concept of smart city management was introduced in China. Many problems left by Chinese cities in the early stage of construction, such as narrow roads and serious urban industrial pollution, are increasing with the state’s control of the environment. Managing these urban problems scientifically and effectively has not been well solved. The more developed the city, the more serious the problem of urban management [6]. The emergence of the intelligent urban management system has brought new development to urban governance [8]. Many Chinese scholars are studying the public processing system based on intelligent city management. Although they have achieved some research results, because the problem of the rapid transmission of information cannot be solved, the public problems of the city have not been well improved.The concept of “smart city” was first proposed by Australian scholars in 2003, and the application of information and communication technology of the government in urban construction was initially expounded [9]. After the introduction of the concept of “smart city,” there are more and more studies on it, and people believe that smart city is a kind of future development model which affects the quality of life and national productivity [10]. After several years of research and development, we have some experience. Through the integration of informatization and industrialization, we can break through the limitation of resource and environmental carrying capacity. This greatly promotes the development of new technologies, new products, and new processes. The improvement of intelligent equipment and the advanced manufacturing industry has improved the efficiency of traditional industries. From the perspective of residents’ life, a smart city can effectively ensure more relaxed and convenient travel conditions, domestic water, and electricity, and comprehensively improve residents’ quality of life. [11]. From the perspective of historical development, cities need to use advanced scientific management means to improve the system and use information technology and measures to achieve the city’s smart management so as to maximize the use of limited energy and change the traditional organization and behavioral way of resource [12]. Nowadays, many countries have taken the construction of smart city as one of the national development strategies, and the development of informatization has now brought about major reform in urban development [13].


## 3. Methodology

The general steps to solve the problem of the data mining algorithm are as follows: data preprocessing: repeated missing of outlier processing, feature selection, feature transformation, and feature dimensionality reduction. Data modeling: machine learning problems are divided into two categories: classification and regression. We choose the appropriate model according to the problem. Model evaluation: evaluating the prediction results of the model. Common indicators are accuracy, recall, F1, PRC and ROC_ AUC, IOU, etc. Cross validation is an effective means of model evaluation.


### 3.1. Relationship Derivations of Three Data

When the window slidesn times, the fixed window still partially intersects with the time domain span, and after sliding again (i.e., sliding n + 1 times), the fixed window no longer has any intersection with the time domain span. At this time, the number n of slides is the slip threshold, which is the maximum number of transactions that can get from the data record (that is, the span of the transaction). And the equation is as follows:(1)n•T≤Tmax,n+1•T≥Tmax,T+n•ΔT≥Tmax..The above inequalities in the above equations have the following inequalities:(2)Tmax−tΔT≤n≤TmaxT,where ΔT is the sliding step size and n is the number of transactions.It can be known from (2) that by adjusting the values of any 2 of the 3 parameters T, Tmax, and ΔT, the larger the deviation from T, the coarser the granularity, and the larger the ΔT, the lower the degree of dispersion.In addition, the data calculated are not only the case. The data calculation includes 3 dimensions, time, abscissa, and ordinate. Therefore, the calculation of data requires an extended study of the computational dimensions. The summary information before and after data expansion was analyzed, as shown in Table1.Table 1
Summary information before and after data expansion.
DimensionsNumber of transactionsTransaction number calculation formulaBefore expansion1∝ records RnAffairs=RnRn is the number of data recordsAfter expansion31/∝ fixed time window 1/∝ sliding time windowTmax−t/ΔT≤n≤Tmax/T, where Tmax is the largest span; T is the window length; ΔT is the sliding step length; n is the transaction numberThen, the calculation project setI=i1,i2,i3,…,in is defined, where the association rules of the data are shown as X⟹Y. One of the most important concepts in data mining algorithms is confidence. In fact, confidence is a conditional probability. The formula is as follows:(3)confideceX⟹Y=supportX∪YsupportX=PX|Y.Among them, these 2 values determine the quality of the mining relationship. Generally, when implementing the association rule algorithm, 2 values are specified, which are thesupportX∪Y value and the confidenceX⟹Y value that are desired to be achieved. If the supportX∪Y value and the confidenceX⟹Y mean of an association cannot reach the preset value, the association relationship is unqualified. If it is larger than the preset value, then this group relationship can be interesting.The computational research of data mining algorithms was calculated and analyzed through the connection form of such data. The use of data mining algorithms does not use data mining algorithms alone, and the calculation form of association rules is also added to the calculation of data. This not only ensures the correctness of the data calculation but also ensures that the links between the data are also mined out, which is convenient for the future data to have a good grasp of the prediction calculation.In order to control the range of values of the entire data attribute and increase the speed of the operation, the following formula was applied to constrain:(4)ti=ti−tmintmax−tmin×new_max−new_min+new_min,where t is the operation time and various subscripts indicate the time of a certain period. The average amount of information was applied to assess uncertainty, i.e., information:(5)S=−∑pi∗lgpi,where p is the calculation probability, and the calculation formula of confidential information is(6)InfoD,S=∑i=1kx1+y1x+y∗InfoSip,Sin.


### 3.2. Service System of Smart City

The most important thing in the construction of a smart city is the combination of cloud computing technology and Internet of things technology. The existing information and data in smart cities are integrated by cloud computing to carry out the centralized processing of all the data. Large cost requires to be invested in no matter what the system is built and improved [14]. Urban construction covers many fields such as traffic, environment, security, medical treatment, and commerce; cloud computing means must be used to integrate information in view of so much data processing. And the acquisition of these data requires the city to have a complete Internet of things to achieve the collection and transmission of large amounts of data [15]. The connection of Internet of things can realize the docking and application of digital information, which makes people’s activities more accurate and convenient, and reduces the consumption of the city [16]. The main purpose of using Internet of things in the command of city is for the better network connection between people and objects, as well as between things and objects to realize identification, management, and control [17]. Therefore, all kinds of information sensing equipment must be used to collect data in real time, such as sensors, satellite navigation and positioning systems, laser scanners, gas sensors, and other devices and technologies; the information collected includes light, electricity, biology, sound, chemistry, location, and other information, and this information and the Internet form a huge information network of smart cities [18].The construction of smart city requires the combination of Internet of things technology. Because different IOTs deploys different sensors and each individual sensor plays an important role, it is necessary to bring the information collected by different sensors into city planning simultaneous interpreting. The information source obtained by a sensor will collect environmental information and update data according to certain frequency cycles so that the real-time performance of data acquisition is achieved. Internet of things combines intelligent processing and sensors organically, and gives full play to intelligent technologies such as pattern recognition and cloud computing [19]. Intelligent technology can process s mass information obtained from sensors to meet the needs of different users and have better applications in the new field. The relationship between the core technology of Internet of things and the smart city is shown in Figure 1.Figure 1
The relationship between smart city and the core technology of Internet of things.It can be seen that the comprehensive application based on the construction of smart city Internet of things can realize the perfect operation of various functions of the city [20]. Compared with the previous digital city, this model has reached a new level, making the functions of the city more systematic, modular, and standardized. The construction of government informatization is inseparable from efficient computing information technology, which is also an indispensable link to realize the construction of smart city. In addition, compared with the general concept, its biggest feature is a unified system. It no longer has the characteristics of a single industrial zone but carries out information coordination as a whole. [21].


### 3.3. Construction of Smart City

The intelligent and synergistic information systems for smart cities have been built up gradually. The construction of smart city is gradually developed from digital city, and it is optimized and upgraded the existing resources of digital city to better realize the purpose of saving resources. The evolution path of urban informatization is shown in Figure2. It can also be seen that the concepts of digital city, intelligent city, and smart city have a great difference, and they represent three different stages in the development of urban informatization. As can be seen from the diagram, the smart city is a relatively advanced stage, accompanied by the latest urban development concept and the innovation of information technology; it can manage the city more effectively, save resources as much as possible, and greatly improve the people's living standards.Figure 2
Path map of urban informatization evolution.The development of smart city must rely on the progress of modern information science and technology, while it can not be separated from the ’government’s promotion and economic development, and these three factors are the indispensable driving force for the construction of smart city. One of the important directions of modern urban development is to realize that the green, low-carbon, and ecological balance must be one of the criteria. The three driving factors and their mutual influence relationship in the construction of smart city are shown in Figure3.Figure 3
Dynamic analysis of smart city construction.Technology driven is the technical basis for the construction of smart city; if the support from the information technology lacks, smart city will only be castles in the air and difficult to be shaped. With the development of the times, more and more information is gathered in the link of urban Internet development. The information level of society is getting higher and higher, and various emerging new technologies have been applied to the construction of urban development, which has greatly promoted the construction of smart city. Whether it is the construction of a conventional city or a smart city, the leading role of the government can not be separated. In the construction of the smart city, the government’s strong support is required and the government’s efficient functions need to be given full play. One the one hand, in the management of smart city, the government must also rely on the efficient and sensitive social management information network and fully realize e-government so as to improve the enthusiasm of citizens to participate in it. As a potential promoter of smart city construction, the driving force of commercial interests is the material condition for the realization of smart city construction. As the construction of smart city needs to invest a lot of capital costs, the driving force of commercial interests is required whether it is the construction of information infrastructure or the operation of the smart city. On the other hand, opportunities for gaining benefit should be provided for many parties; in this case, the government needs to strengthen supervision and management so as to truly realize the smart city.


### 3.4. The Model of Smart City Construction

Urban construction should have an independent relationship with people’s livelihood. The people’s livelihood is taken as the guide, the smart construction of the people’s livelihood and social and public services is realized, and the equalization of social and public services is promoted. As a result, most intelligent city construction needs to be carried out around the needs of seven aspects of agriculture, culture, ecology, transportation, safety, health care, and the managers of city operations. Agriculture refers to the use of intelligent chemicals to achieve new industrial productivity, information agricultural growth, and the circulation of agricultural products, and the quality traceability management system of agricultural products is established to realize the scientific supervision of crop production and the circulation of agricultural products. The application of the cultural field is the use of RFID technology, and the protection of cultural relics, cultural supervision, and Internet bar monitoring is realized so that the real-time monitoring and protection of culture can be achieved. The Internet of things technology can be used for the perception and management of the atmosphere, water, waste, and so on in the city and its surrounding environment, thus forming a networked intelligent environmental protection system to realize the monitoring and processing of the ecological environment. Urban traffic problem is also a serious problem encountered by modern cities; network technology, information technology, and communication technology can be used to realize the optimal allocation of resources, intelligent transportation, and operation management. By mining large amounts of data, the data collected from Internet of things can be mined and applied deeply, which is not only conducive to the management of social security incidents and the emergency linkage of unexpected events such as geological disasters and environmental problems but also has a strong guarantee for urban safety management. In the medical field, through information technology and Internet of things, mobile medicine, telemedicine, and regional health information platform can be implemented, and the process of doctor’s diagnosis and medication can be digitized. From this, the overall framework of smart city construction can be obtained, as shown in Figure4.Figure 4
The whole framework of information service system in smart city.At present, more than 20 cities in China have launched the development plan of the cloud computing industry and actively promoted infrastructure construction based on cloud computing. Design based on IaaS architecture takes the data of cloud computing as the core so as to create an independent public cloud, such as educational cloud, safety cloud, municipal administration cloud, and traffic cloud, as shown in Figure5.Figure 5
Schema construction based on cloud computing.


## 3.1. Relationship Derivations of Three Data

When the window slidesn times, the fixed window still partially intersects with the time domain span, and after sliding again (i.e., sliding n + 1 times), the fixed window no longer has any intersection with the time domain span. At this time, the number n of slides is the slip threshold, which is the maximum number of transactions that can get from the data record (that is, the span of the transaction). And the equation is as follows:(1)n•T≤Tmax,n+1•T≥Tmax,T+n•ΔT≥Tmax..The above inequalities in the above equations have the following inequalities:(2)Tmax−tΔT≤n≤TmaxT,where ΔT is the sliding step size and n is the number of transactions.It can be known from (2) that by adjusting the values of any 2 of the 3 parameters T, Tmax, and ΔT, the larger the deviation from T, the coarser the granularity, and the larger the ΔT, the lower the degree of dispersion.In addition, the data calculated are not only the case. The data calculation includes 3 dimensions, time, abscissa, and ordinate. Therefore, the calculation of data requires an extended study of the computational dimensions. The summary information before and after data expansion was analyzed, as shown in Table1.Table 1
Summary information before and after data expansion.
DimensionsNumber of transactionsTransaction number calculation formulaBefore expansion1∝ records RnAffairs=RnRn is the number of data recordsAfter expansion31/∝ fixed time window 1/∝ sliding time windowTmax−t/ΔT≤n≤Tmax/T, where Tmax is the largest span; T is the window length; ΔT is the sliding step length; n is the transaction numberThen, the calculation project setI=i1,i2,i3,…,in is defined, where the association rules of the data are shown as X⟹Y. One of the most important concepts in data mining algorithms is confidence. In fact, confidence is a conditional probability. The formula is as follows:(3)confideceX⟹Y=supportX∪YsupportX=PX|Y.Among them, these 2 values determine the quality of the mining relationship. Generally, when implementing the association rule algorithm, 2 values are specified, which are thesupportX∪Y value and the confidenceX⟹Y value that are desired to be achieved. If the supportX∪Y value and the confidenceX⟹Y mean of an association cannot reach the preset value, the association relationship is unqualified. If it is larger than the preset value, then this group relationship can be interesting.The computational research of data mining algorithms was calculated and analyzed through the connection form of such data. The use of data mining algorithms does not use data mining algorithms alone, and the calculation form of association rules is also added to the calculation of data. This not only ensures the correctness of the data calculation but also ensures that the links between the data are also mined out, which is convenient for the future data to have a good grasp of the prediction calculation.In order to control the range of values of the entire data attribute and increase the speed of the operation, the following formula was applied to constrain:(4)ti=ti−tmintmax−tmin×new_max−new_min+new_min,where t is the operation time and various subscripts indicate the time of a certain period. The average amount of information was applied to assess uncertainty, i.e., information:(5)S=−∑pi∗lgpi,where p is the calculation probability, and the calculation formula of confidential information is(6)InfoD,S=∑i=1kx1+y1x+y∗InfoSip,Sin.


## 3.2. Service System of Smart City

The most important thing in the construction of a smart city is the combination of cloud computing technology and Internet of things technology. The existing information and data in smart cities are integrated by cloud computing to carry out the centralized processing of all the data. Large cost requires to be invested in no matter what the system is built and improved [14]. Urban construction covers many fields such as traffic, environment, security, medical treatment, and commerce; cloud computing means must be used to integrate information in view of so much data processing. And the acquisition of these data requires the city to have a complete Internet of things to achieve the collection and transmission of large amounts of data [15]. The connection of Internet of things can realize the docking and application of digital information, which makes people’s activities more accurate and convenient, and reduces the consumption of the city [16]. The main purpose of using Internet of things in the command of city is for the better network connection between people and objects, as well as between things and objects to realize identification, management, and control [17]. Therefore, all kinds of information sensing equipment must be used to collect data in real time, such as sensors, satellite navigation and positioning systems, laser scanners, gas sensors, and other devices and technologies; the information collected includes light, electricity, biology, sound, chemistry, location, and other information, and this information and the Internet form a huge information network of smart cities [18].The construction of smart city requires the combination of Internet of things technology. Because different IOTs deploys different sensors and each individual sensor plays an important role, it is necessary to bring the information collected by different sensors into city planning simultaneous interpreting. The information source obtained by a sensor will collect environmental information and update data according to certain frequency cycles so that the real-time performance of data acquisition is achieved. Internet of things combines intelligent processing and sensors organically, and gives full play to intelligent technologies such as pattern recognition and cloud computing [19]. Intelligent technology can process s mass information obtained from sensors to meet the needs of different users and have better applications in the new field. The relationship between the core technology of Internet of things and the smart city is shown in Figure 1.Figure 1
The relationship between smart city and the core technology of Internet of things.It can be seen that the comprehensive application based on the construction of smart city Internet of things can realize the perfect operation of various functions of the city [20]. Compared with the previous digital city, this model has reached a new level, making the functions of the city more systematic, modular, and standardized. The construction of government informatization is inseparable from efficient computing information technology, which is also an indispensable link to realize the construction of smart city. In addition, compared with the general concept, its biggest feature is a unified system. It no longer has the characteristics of a single industrial zone but carries out information coordination as a whole. [21].


## 3.3. Construction of Smart City

The intelligent and synergistic information systems for smart cities have been built up gradually. The construction of smart city is gradually developed from digital city, and it is optimized and upgraded the existing resources of digital city to better realize the purpose of saving resources. The evolution path of urban informatization is shown in Figure2. It can also be seen that the concepts of digital city, intelligent city, and smart city have a great difference, and they represent three different stages in the development of urban informatization. As can be seen from the diagram, the smart city is a relatively advanced stage, accompanied by the latest urban development concept and the innovation of information technology; it can manage the city more effectively, save resources as much as possible, and greatly improve the people's living standards.Figure 2
Path map of urban informatization evolution.The development of smart city must rely on the progress of modern information science and technology, while it can not be separated from the ’government’s promotion and economic development, and these three factors are the indispensable driving force for the construction of smart city. One of the important directions of modern urban development is to realize that the green, low-carbon, and ecological balance must be one of the criteria. The three driving factors and their mutual influence relationship in the construction of smart city are shown in Figure3.Figure 3
Dynamic analysis of smart city construction.Technology driven is the technical basis for the construction of smart city; if the support from the information technology lacks, smart city will only be castles in the air and difficult to be shaped. With the development of the times, more and more information is gathered in the link of urban Internet development. The information level of society is getting higher and higher, and various emerging new technologies have been applied to the construction of urban development, which has greatly promoted the construction of smart city. Whether it is the construction of a conventional city or a smart city, the leading role of the government can not be separated. In the construction of the smart city, the government’s strong support is required and the government’s efficient functions need to be given full play. One the one hand, in the management of smart city, the government must also rely on the efficient and sensitive social management information network and fully realize e-government so as to improve the enthusiasm of citizens to participate in it. As a potential promoter of smart city construction, the driving force of commercial interests is the material condition for the realization of smart city construction. As the construction of smart city needs to invest a lot of capital costs, the driving force of commercial interests is required whether it is the construction of information infrastructure or the operation of the smart city. On the other hand, opportunities for gaining benefit should be provided for many parties; in this case, the government needs to strengthen supervision and management so as to truly realize the smart city.


## 3.4. The Model of Smart City Construction

Urban construction should have an independent relationship with people’s livelihood. The people’s livelihood is taken as the guide, the smart construction of the people’s livelihood and social and public services is realized, and the equalization of social and public services is promoted. As a result, most intelligent city construction needs to be carried out around the needs of seven aspects of agriculture, culture, ecology, transportation, safety, health care, and the managers of city operations. Agriculture refers to the use of intelligent chemicals to achieve new industrial productivity, information agricultural growth, and the circulation of agricultural products, and the quality traceability management system of agricultural products is established to realize the scientific supervision of crop production and the circulation of agricultural products. The application of the cultural field is the use of RFID technology, and the protection of cultural relics, cultural supervision, and Internet bar monitoring is realized so that the real-time monitoring and protection of culture can be achieved. The Internet of things technology can be used for the perception and management of the atmosphere, water, waste, and so on in the city and its surrounding environment, thus forming a networked intelligent environmental protection system to realize the monitoring and processing of the ecological environment. Urban traffic problem is also a serious problem encountered by modern cities; network technology, information technology, and communication technology can be used to realize the optimal allocation of resources, intelligent transportation, and operation management. By mining large amounts of data, the data collected from Internet of things can be mined and applied deeply, which is not only conducive to the management of social security incidents and the emergency linkage of unexpected events such as geological disasters and environmental problems but also has a strong guarantee for urban safety management. In the medical field, through information technology and Internet of things, mobile medicine, telemedicine, and regional health information platform can be implemented, and the process of doctor’s diagnosis and medication can be digitized. From this, the overall framework of smart city construction can be obtained, as shown in Figure4.Figure 4
The whole framework of information service system in smart city.At present, more than 20 cities in China have launched the development plan of the cloud computing industry and actively promoted infrastructure construction based on cloud computing. Design based on IaaS architecture takes the data of cloud computing as the core so as to create an independent public cloud, such as educational cloud, safety cloud, municipal administration cloud, and traffic cloud, as shown in Figure5.Figure 5
Schema construction based on cloud computing.


## 4. Result Analysis and Discussion

### 4.1. Demand Analysis

Based on the aforementioned ideas of smart city construction, the construction of smart city in coastal city A was carried out; first of all, the questionnaire was used to understand and analyze the city’s needs so as to carry out targeted smart city construction. City A is in the southeast coastal area of our country, and its level of urban economic development is at the forefront of urban economic development; however, residents are now faced with many problems, such as the difficulty of traffic travel and the serious pollution of air, water, and food safety. Through the on-site and online questionnaire survey, the indicators of this city’s smart city construction were scored. The total score was 5 points with 9 indicators, including smart government, transportation, medical treatment, education, tourism, home furnishing, security, community, and environment. The specific results are shown in Table2.Table 2
Statistical analysis of the results of the questionnaire survey.
FieldSpecific indexFractionIntelligent governmentAdministrative examination and approval of online management3.70Full electronic supervision of official behavior4.65Interaction between the government and the public network4.44Interaction between government and enterprise networks3.57Intelligent transportationIntegrated transportation information service4.37Intelligent parking and guidance service4.20Information service of bus stop and subway stop sign board3.66Emergency handling and rescue3.45Intelligent medicalElectronic health record4.19Electronic medical record3.92Remote diagnosis3.41Wisdom educationTourism guidance information service3.38Application of tourism communication and information technology3.74Smart homeHome automation4.02Family intelligence table with information technology3.42Intelligent securityHazardous chemical transportation monitoring3.07Food and drug safety traceability4.26Emergency warning and emergency response4.12Prevention and control of crime warning4.66Wisdom communitySensor installation for community safety monitoring4.10Community service information push2.72Community information network coverage3.62Community elderly information monitoring service3.28Intelligent environmentEcological environment perception monitoring4.36Pollution source alarm monitoring4.15As can be seen in Table2, the indicators with higher demand of residents in city A for smart city construction are focused on smart transportation, environment, health care, and government; the relatively low demand is smart education and the smart community. Smart government is the key to the construction of smart city so as to build an information sharing service system. The corresponding technical information based on Internet of things and Internet also needs more applications in the smart medical treatment.


### 4.2. Urban Construction and Its Practical Application

Facing the needs of smart city construction in A city, the construction of its intelligent infrastructure needs to be satisfied in two aspects: the first is to create an information technology that facilities the system with an international county-level level; the second is to build a new type of intelligent facility system to support the construction of smart city. Specifically, it is necessary to implement broadband network engineering, vigorously develop Internet of things technology, build big data information resources database of the city, establish a controllable information security system, and promote urban intelligent infrastructure construction. The perfect broadband network project is constructed so that each resident can enjoy the optical fiber, mobile communications networks at home; the level of services and processing information of Internet can be comprehensively improved. In complex ecosystems, the Internet of things technology can improve the city’s operation and management efficiency, create a new platform for applications and services, and build an intelligent service delivery platform, as shown in Figure6.Figure 6
An urban integrated service delivery platform.Smart city construction should give full play to the smooth exchange of different information platforms, including e-government top-level design, building e-government platforms, digital file management, and electronic documents. Through the browser, the government can provide services and calculations to different users, improve efficiency, and realize the real-time monitoring of urban economic development. The smart control center of city is constructed, and information from each department is brought together so that the information can be perceived automatically and events can be intelligently handled. In addition, the construction of urban intelligent video surveillance system, intelligent emergency management engineering, and intelligent public safety engineering construction is included.


## 4.1. Demand Analysis

Based on the aforementioned ideas of smart city construction, the construction of smart city in coastal city A was carried out; first of all, the questionnaire was used to understand and analyze the city’s needs so as to carry out targeted smart city construction. City A is in the southeast coastal area of our country, and its level of urban economic development is at the forefront of urban economic development; however, residents are now faced with many problems, such as the difficulty of traffic travel and the serious pollution of air, water, and food safety. Through the on-site and online questionnaire survey, the indicators of this city’s smart city construction were scored. The total score was 5 points with 9 indicators, including smart government, transportation, medical treatment, education, tourism, home furnishing, security, community, and environment. The specific results are shown in Table2.Table 2
Statistical analysis of the results of the questionnaire survey.
FieldSpecific indexFractionIntelligent governmentAdministrative examination and approval of online management3.70Full electronic supervision of official behavior4.65Interaction between the government and the public network4.44Interaction between government and enterprise networks3.57Intelligent transportationIntegrated transportation information service4.37Intelligent parking and guidance service4.20Information service of bus stop and subway stop sign board3.66Emergency handling and rescue3.45Intelligent medicalElectronic health record4.19Electronic medical record3.92Remote diagnosis3.41Wisdom educationTourism guidance information service3.38Application of tourism communication and information technology3.74Smart homeHome automation4.02Family intelligence table with information technology3.42Intelligent securityHazardous chemical transportation monitoring3.07Food and drug safety traceability4.26Emergency warning and emergency response4.12Prevention and control of crime warning4.66Wisdom communitySensor installation for community safety monitoring4.10Community service information push2.72Community information network coverage3.62Community elderly information monitoring service3.28Intelligent environmentEcological environment perception monitoring4.36Pollution source alarm monitoring4.15As can be seen in Table2, the indicators with higher demand of residents in city A for smart city construction are focused on smart transportation, environment, health care, and government; the relatively low demand is smart education and the smart community. Smart government is the key to the construction of smart city so as to build an information sharing service system. The corresponding technical information based on Internet of things and Internet also needs more applications in the smart medical treatment.


## 4.2. Urban Construction and Its Practical Application

Facing the needs of smart city construction in A city, the construction of its intelligent infrastructure needs to be satisfied in two aspects: the first is to create an information technology that facilities the system with an international county-level level; the second is to build a new type of intelligent facility system to support the construction of smart city. Specifically, it is necessary to implement broadband network engineering, vigorously develop Internet of things technology, build big data information resources database of the city, establish a controllable information security system, and promote urban intelligent infrastructure construction. The perfect broadband network project is constructed so that each resident can enjoy the optical fiber, mobile communications networks at home; the level of services and processing information of Internet can be comprehensively improved. In complex ecosystems, the Internet of things technology can improve the city’s operation and management efficiency, create a new platform for applications and services, and build an intelligent service delivery platform, as shown in Figure6.Figure 6
An urban integrated service delivery platform.Smart city construction should give full play to the smooth exchange of different information platforms, including e-government top-level design, building e-government platforms, digital file management, and electronic documents. Through the browser, the government can provide services and calculations to different users, improve efficiency, and realize the real-time monitoring of urban economic development. The smart control center of city is constructed, and information from each department is brought together so that the information can be perceived automatically and events can be intelligently handled. In addition, the construction of urban intelligent video surveillance system, intelligent emergency management engineering, and intelligent public safety engineering construction is included.


## 5. Conclusions

At present, China has strengthened the research and construction of smart cities. Intelligent infrastructure is based on cloud computing and Internet of things technology. Smart city is the inevitable trend of urban development under the development of science and technology and information technology. Cloud computing shall be adopted for data processing and application so as to create intelligent infrastructure and cloud computing services, and build smart city and a smart city service system model. It can be seen from the analysis that the construction of smart city must be based on Internet of things to collect, transmit, and process massive data. On this basis, a questionnaire survey was conducted in coastal city A of China. This paper analyzes the residents’ demand for smart city, covering 9 indicators: intelligence, government, transportation, medical treatment, education, tourism, home, safety, community, and environment. Finally, the construction and practice of smart city in A city are carried out, and the corresponding construction direction of the smart city information service system is put forward. However, the research of this paper is more about the direction of smart city construction, and there are still some deficiencies in the specific application.



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*Source: 4544439-2022-03-12.xml*