# Construction of the Rule of Law System of Marine Ecological Environment Protection under the Background of Wireless Network Information Fusion

Authors: Lijuan Xu; Lihong Zhang
Journal: Wireless Communications and Mobile Computing
 (2021)

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## Abstract

With the rapid development of my country’s marine economy, human society is demanding more and more marine resources and space, resulting in serious damage to the marine ecological environment. In order to protect the marine ecology and improve the sustainable development of marine resources, this paper studies the legal system of marine ecological environmental protection based on the background of wireless network information fusion. By studying the status quo of several well-known marine ports and ecological environment in China, building a wireless network information fusion platform, integrating wireless network information into marine ecological surveys, collecting data through WSN nodes, and comparing wireless network information fusion with traditional methods, the efficiency of marine ecological environmental protection and the identification of marine pollution methods in different periods of time coordinate the rapid economic development and build a sustainable marine ecology. The results of the study found that the monitoring efficiency based on wireless network information fusion is more than 25% higher than the traditional monitoring method, and the recognition efficiency after 3 months is still more than 20% higher than the traditional method. This shows that information fusion in wireless networks can play a key role in the construction of a legal system for marine ecological and environmental protection.


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## Body

## 1. Introduction

Cash security techniques typically include data fusion technology driven by data encryption and data integration security oriented to data completeness. Based on certain criterion, data fusion monitors the acquired information from digital collection units through their computer, integrates them into different aspects, and obtains pertinent analysis findings to effectively gain access to the desired messages. And this information is exactly what people need in the complex information world, removing unnecessary, contradictory, and even incorrect information, so that we can accurately predict what may happen in the future based on this information, and make people better understand information and stronger foresight. It is of great practical value to take precautions for the future and take precautions before they happen.Although the ocean is constant, the current in the ocean is flowing. Therefore, once someone is infected in one place, the pollution will flow to other places along with the flow of water. At the same time, a large part of marine pollution comes from land; so, it is difficult to distinguish between polluters and responsible persons as compensation for marine ecological protection. Also, there are some local governments that are bent on pursuing economic expansion and neglect the protection of the marine habitat. Not only they do not promote ocean ecological protection but they interfere with the ecological protection of the marine system. In contemporary society, environmental regulation and ecological protection are necessary concerns for all mankind. The ecological compensation issue has gotten a lot of interests from governments and scholars. The creation of a sound marine ecosystem protection compensation system is also a global tendency.Regarding the establishment of a legal system for marine ecological and environmental protection, experts at home and abroad have conducted many studies. Clements has used three major marine ecology journals with open access options as the “miniature” of scientific publishing to determine that it will be open within the same time frame. Whether access articles get more citations than nonopen access articles, studies have shown that open access articles get more citations in hybrid marine ecology journals; although, the causal factors driving this trend are unclear [1]. Pansch believes that the increase in human activities leads to local to global changes in sea surface temperature, ocean acidity, eutrophication, and sea level rise. The article uses new tide and ocean current simulation technology and a multiparameter measurement system to simulate multifactor climate change scenarios, including a combination of warming, acidification, nutrient enrichment, and sea level rise, demonstrating the functions of the new benthic mesoscopic system [2]. Shuntov critically discussed some viewpoints on the marine ecology of Pacific salmon that were popular in the second half of the 20th century. He believed that the role of Pacific salmon in the nutritional network of subarctic waters was quite mild. Therefore, neither pink salmon nor salmon can be considered as species that cause large-scale ecosystem reorganization and fluctuations in the populations of other common fish [3]. With regard to marine protection, many people have put forward constructive opinions. Reddy has identified important areas of the ocean and proposed a sustainable and harmoniously acceptable plan. This strategy will not damage biodiversity in any way, and stakeholders can still use marine resources without damage. This article discusses the extreme conditions caused by global warm, the anthropological threats and spatial planning that require high attention, and their goals, importance, and benefits. Finally, it summarizes past examples and provides steps to be taken when obstacles arise [4]. Boldina conducts a nontechnical review of the basis of linear regression and its application in marine ecology, focusing on correct model specifications, different concepts of linearity, issues surrounding data conversion, assumptions that must be followed, and verification of the model regression model. Emphasizing the necessity of reporting regression diagnosis results, contrary to the common practice in marine ecology,R2andpvalue alone cannot provide sufficient evidence to form a conclusion [5]. Belkin reviewed the ocean frontier remote sensing in marine ecology and fisheries, paying special attention to the most popular frontier detection algorithms and technologies, and proposed a case of feature-based methods. The method emphasizes that frontier is the main structure and circulation feature of the ocean field. All aspects of ecology play a key role [6]. Beyond tested 2 hypotheses (obtained robustness hypothesis and transition time hypothesis) are related to ontogeny (high mortality in early life and biological processes of development as age increased). Hundreds of individuals were tracked under low stress conditions. The duration and duration of larvae and half of the developmental individuals died [7]. In order to study the potential process that affects the assembly of marine ecosystem communities, the patterns and driving factors of the composition of the Baltic fish community were investigated. The Baltic Sea is a significant semi-enclosed sea that is characterized by the environmental gradients of the sea. The results show a significant decline in species richness and functional richness, which is largely due to the decline in salinity [8]. These studies have a certain reference role for this article. However, the research also has its shortcomings. The sample and time of the research are insufficient, resulting in a certain difference between the results and the actual situation.This paper is novel in that it completes the current research on the correlation between coastal resources and industrial growth by specialists and experts in China by integrating information from a wireless network and lays a reliable foundation for future studies. The damaged marine recourses in the economic development and related problems in the ocean ecology currently exist in the process of China’s economic expansion that are analyzed, and the resolution strategies and approaches are presented. Through research, it is found that emissions can be controlled, government governance can be improved, and relevant laws and regulations can be improved. It can effectively improve existing marine resource problems, coordinate rapid economic growth, and build a sustainable marine ecology.


## 2. Marine Ecological Environment Protection Methods

### 2.1. Wireless Network

Wireless sensor network is a groundbreaking research field with highly interdisciplinary and highly integrated knowledge. It integrates sensor technology, integrated computer technology, wireless communication technology, distributed network, and information processing technology. It can monitor, perceive, and collect information from different environments through various built-in microsensors or monitor objects in real time. The information is sent wirelessly and transmitted to the user terminal on the self-packet multihop network [9]. In short, a sensor network consists of a large number of microsensor devices distributed in a specific area, each of which has processing and wireless communication capabilities. It can collect information from the environment, create reports, and send them to remote data collection points. The data collection point collects and analyzes the report and judges whether there is an accident in the area [10].The large number of sensor nodes randomly placed in the observation area in a random wireless sensor network forms the network by means of self-organization for target tracking. The detection received from the camera nodes is preprocessed by itself and then passed to the aggregation node through the neighboring nodes, and the aggregation node communicates with the external web as a wireless sensor necklace. The remote base station receives the data information from the sink node and then transmits it to the remote database through the peripheral network [11, 12]. After being processed, the information is provided to customers through all kinds of display functions. At the meantime, users can exchanging information with aggregating nodes by the peripheral network, sending the sensor nodes control and inquiry requirements and accepting the tracking destination information sent by the nodes [13]. The structure of the wireless sensor network is shown in Figure 1.Figure 1
Structure diagram of the wireless sensor network.All sensors in the wireless sensor network have built-in processors and memories, have computing power, and can complete some information processing tasks [14]. However, due to the limited computing power and memory storage capacity of the integrated processor, in applications, we have to reasonably use a large number of sensors with limited computing power for collective distributed information processing.


### 2.2. Data Fusion Structure

Data fusion, also known as information fusion or multisensor data fusions, refers to information processing technology that uses computer technology to analyze and process collected data and make decisions and evaluations in accordance with certain rules [15]. WSN data fusion technology is a process in which nodes use their own computing and storage capabilities to process the collected data according to a specific method and finally obtain a small amount of accurate data, but at the same time, at the expense of delay and robustness. In WSN, it is necessary to reduce the number of unnecessary wireless data transmissions to save energy; so, this level of data analysis is very important [16].The WSN data fusion system model improves the performance of the system and saves resources and energy consumption. The WSN data fusion model is shown in Figure2.Figure 2
WSN data fusion model.At present, many scholars have different understandings and classifications of WSN data fusion algorithms. According to different classification bases, it can be summarized as the following categories.(1)
According to the degree of data integrity before and after the fusion: lossy fusion, some unnecessary data is removed during fusion. Nondestructive fusion: the complete collected data is transmitted to a base station without removing any information(2)
According to the relationship between data fusion and application layer: application-related data fusion, application-independent data fusion, and application-related data fusion(3)
According to different levels of data operation: data-level fusion, feature-level fusion, and decision-level fusionSince WSN data gathering is carried out from ordinary nodes over single or multiple hops and is converged to certain nodes and eventually delivered to the base station, the transport path forms a graph much like a table tree; so, tree-based data merging is to combine the thoughts of a tree and create one from all nodes according to a particular algorithm that transforms data from common nodes to sink nodes which finally go to the base depot.WSN often uses random distribution when arranging sensors [17, 18]. It is easy to see that there are many sensors in a small area, and nodes that are close to each other have similar detection areas; so, the collected data has similarity, which is called spatial correlation. At the same time, WSN nodes collect data in a relatively short time; so, the same node also has similarity in similar time periods, which is called time correlation [19].Available data fusion algorithms are mainly used to reduce the number of transmissions of data between nodes and converging nodes and to transmit data to the base site after performing the fusion feature at the cluster head, thus further reducing the amount of data transmitted. Combined with the associated models, no data is collected for reducing the number of data transfer between nodes and reducing node of power consumption. When implementing such algorithms, the same model runs on both the common node and the converge node.


### 2.3. Fusion Algorithm

The cluster routing protocol divides all nodes into different levels, and nodes at different levels will undertake different tasks. The general cluster routing algorithm divides nodes into two categories: ordinary nodes and cluster heads [20]. In the network operation, a representative node captures and transmits data predominantly to the cluster leader; the cluster leader accepts node data and operates data fusion, and the resulting fused data is then forwarded to other cluster controllers or directly to the base stations. These protocols mainly use packet fusion at the clustered head to reduce the traffic of internet data. The most typical cluster based routing protocol is LEACH, which is believed to be the first cluster based routing agreement. LEACH is enforced in rounds, and each round has been further split into a clustering stage and a data transfer chapter.The choice of cluster head node depends on the number of cluster head nodes and the number of times each node becomes a cluster head. First, each sensor node will generate a random number. When the thresholdT is greater than this random number, the node is the cluster head. The threshold calculation formula is as follows:(1)T=k1−k∗rmodN/pifn∈Gr,0ifn∉Gr,whereK represents the number of cluster head nodes in the network, N represents the number of sensor nodes, and r represents the number of completions.When the minimum communication radius of the node is greater than the distance between the sending nodes, the free space model is used, where the energy consumption of the node is attenuatedd2, as shown in the following formula.(2)Erk,d=Eelec×k+εfsdn.εfs represents the power amplifier coefficient of the sending point, and d represents the distance between two sensor nodes and the energy consumption of not transmitting k bit data. The energy consumption required for each k/bit of data received is(3)ERk=Eelec×k.For traditional clustering, the role of the cluster head is relatively large. It is necessary to manage nodes, coordinate processes and process data, and finally transmit the processed data to the sink node. At this time, the energy consumption of the cluster head and the nodes in the cluster is(4)EC=ES+EM+∑i=1nEr1k+EG+Erk,d.In the algorithm, it is very important to select the cluster head. Whether a node is a cluster head node can be calculated by formula (1), but the ideal number of cluster heads is calculated by the formula.(5)kopt=N2πεfsεmpMdtoBS2.Among them,N represents the total number of nodes, dtoBS2 represents the distance from the base station to the cluster head node, M is the area size and represents the power εfs amplifier coefficient of the sending node, and εmp represents the multipath fading energy when the node sends signals. The disadvantage is that this formula is only for the uniform distribution that the node is only established.Assuming that all nodes in the network initially forward data packets from neighboring nodesxi, the total amount of data received by the source node during time t is(6)∑a=1∞∫0tliωn−1!e−liωa−1!dω=lit.Here,a is the amount of data that the data source node may receive, and li is the intensity of the data flow.The revenue of the data packet transmission of the cooperative node isb, and the revenue of the completion of the reception is 0; so, the game of node i in the j period is(7)uill,li,f=l∗b−li∗costij−f∗cosij∗nij.If the node does not cooperate in a certain time of sending data, it will be punished in the next round of cluster head selection process, and the node will not be able to obtain revenue. Each degree of cooperation is(8)r=∑i=1l∑j≠1Cnijt∑illit.Assuming that the distance between the two data source nodes isdija, then the energy consumption in the cooperative fusion path is(9)fcij=∑i=1k∑j≠1Cdijamija+nijt.If the initial energy of the node iset, the energy consumption of sending a data packet is costij, and the energy consumption in the cooperative fusion path is fc. If node i sends a fixed energy consumption of a data packet, the total number of data packets that can be sent by node i is:(10)Mi=et/costij+fcijAccording to the theory of multivariate function seeking extreme value, the weighting factor corresponding to the minimum total mean square error can be obtained as(11)Wp2=1/σp2∑in1σi2p=1,2,⋯,n.At this time, the corresponding minimum mean square error is(12)σmin2=∑i=1n1σi2.The above is an estimation based on the measured value of each sensor at a certain moment. When the estimated true valueX is a constant, it can be estimated based on the mean value of the historical data of each sensor. For k measurements made by the pth sensor, there is an average value.(13)X¯pK=1K∑i=1kXpi.The estimated value at this time is(14)X¯^=∑WpX¯pK.The total mean square error is(15)σ2=EX−X¯∧2.The same can be obtained:(16)σ2=1K∑p=1nWp2σp2.It is determined based on experience, if the measurement data does not contain any basis for determining the weight. For such measurement data with unequal accuracy, the weights should be determined based on experience. This determination method requires a wealth of measurement experience and knowledge about errors to be competent.


### 2.4. Marine Ecology

Condition of human resources and surroundings is the preconditions and the basis of human social and economic development, ecological use, and protection. The development of society and economic development can only be accomplished faster and better if the development of resources, physical, and humanitarian environment and the whole ecosystem is allowed, with the eventual aim of preserving resources and its environment [21, 22]. When the pressure of economic and social development on the support body exceeds the limit, the support body will have a negative impact and limit the sustainable development of the social economy. In the process of economic development, scientific and technological methods and development can be used to increase economic development. Increasing the carrying capacity enables economic growth to have a positive impact on the marine environment. However, although these measures can continue to increase the carrying capacity, this improvement must also be limited to the resilience of a healthy ecosystem; otherwise, the overall carrying capacity of the ecosystem will be sacrificed, and power development is not sustainable development [23].Carrying capacity was born from its application, and there have been many endeavors by many scholars to transform it from an absolute to a relativized concept. The total body of knowledge is growing and improving. In summary, the development of transferability theory companies is based at the shoulders of many “greats,” such is the development of ecological theory, the sustainable development concepts, and the overall reunderstanding of the relationship between people and land [24]. The three major portable research centers have always focused on the carrier, the object, and the scale that is most suitable for carrying. The most basic concept of transportation capacity is the transportation capacity of transportation vehicles. The transportation body usually refers to the entire ecological environment on the earth, and the objects of transportation are various activities that occur in the environment.We need to objectively understand the carrying capacity of resources and the environment from multiple perspectives, for example, from the perspective of the carrier or carrier object, that is, the material basis and higher-level economic activities [25]. In terms of natural base conditions, freight capacity can be regarded as a resource and ecological red line for the pursuit of economic advancement by human community. What this red line is the threshold that we call the threshold, i.e., the capacity limit. In the perspective of economic development, the ability to transfer resources and the environment is the magnitude of human activities that can be brought about by the economy, provided that there is no damage to nature and green development is allowed. A different social growth rate and approach to development can also affect the change in capacity of resources and the environment.The marine ecosystem is shown in Figure3. With the deepening of human understanding of ecosystem service functions, the concept of marine ecosystem service functions based on ecosystem service functions has also emerged. The research on marine ecosystem service capabilities can help further understand the ocean, rationalize its use and protection, and play a positive role in providing guidance for the scientific and rational use of resources in the future. Basically, the service functions of the marine ecosystem are different from the services the ocean provides for human in the normal sense. The scope of the marine ecosystem is shorter than the area covered by marine service concept.Figure 3
Marine ecosystem.


## 2.1. Wireless Network

Wireless sensor network is a groundbreaking research field with highly interdisciplinary and highly integrated knowledge. It integrates sensor technology, integrated computer technology, wireless communication technology, distributed network, and information processing technology. It can monitor, perceive, and collect information from different environments through various built-in microsensors or monitor objects in real time. The information is sent wirelessly and transmitted to the user terminal on the self-packet multihop network [9]. In short, a sensor network consists of a large number of microsensor devices distributed in a specific area, each of which has processing and wireless communication capabilities. It can collect information from the environment, create reports, and send them to remote data collection points. The data collection point collects and analyzes the report and judges whether there is an accident in the area [10].The large number of sensor nodes randomly placed in the observation area in a random wireless sensor network forms the network by means of self-organization for target tracking. The detection received from the camera nodes is preprocessed by itself and then passed to the aggregation node through the neighboring nodes, and the aggregation node communicates with the external web as a wireless sensor necklace. The remote base station receives the data information from the sink node and then transmits it to the remote database through the peripheral network [11, 12]. After being processed, the information is provided to customers through all kinds of display functions. At the meantime, users can exchanging information with aggregating nodes by the peripheral network, sending the sensor nodes control and inquiry requirements and accepting the tracking destination information sent by the nodes [13]. The structure of the wireless sensor network is shown in Figure 1.Figure 1
Structure diagram of the wireless sensor network.All sensors in the wireless sensor network have built-in processors and memories, have computing power, and can complete some information processing tasks [14]. However, due to the limited computing power and memory storage capacity of the integrated processor, in applications, we have to reasonably use a large number of sensors with limited computing power for collective distributed information processing.


## 2.2. Data Fusion Structure

Data fusion, also known as information fusion or multisensor data fusions, refers to information processing technology that uses computer technology to analyze and process collected data and make decisions and evaluations in accordance with certain rules [15]. WSN data fusion technology is a process in which nodes use their own computing and storage capabilities to process the collected data according to a specific method and finally obtain a small amount of accurate data, but at the same time, at the expense of delay and robustness. In WSN, it is necessary to reduce the number of unnecessary wireless data transmissions to save energy; so, this level of data analysis is very important [16].The WSN data fusion system model improves the performance of the system and saves resources and energy consumption. The WSN data fusion model is shown in Figure2.Figure 2
WSN data fusion model.At present, many scholars have different understandings and classifications of WSN data fusion algorithms. According to different classification bases, it can be summarized as the following categories.(1)
According to the degree of data integrity before and after the fusion: lossy fusion, some unnecessary data is removed during fusion. Nondestructive fusion: the complete collected data is transmitted to a base station without removing any information(2)
According to the relationship between data fusion and application layer: application-related data fusion, application-independent data fusion, and application-related data fusion(3)
According to different levels of data operation: data-level fusion, feature-level fusion, and decision-level fusionSince WSN data gathering is carried out from ordinary nodes over single or multiple hops and is converged to certain nodes and eventually delivered to the base station, the transport path forms a graph much like a table tree; so, tree-based data merging is to combine the thoughts of a tree and create one from all nodes according to a particular algorithm that transforms data from common nodes to sink nodes which finally go to the base depot.WSN often uses random distribution when arranging sensors [17, 18]. It is easy to see that there are many sensors in a small area, and nodes that are close to each other have similar detection areas; so, the collected data has similarity, which is called spatial correlation. At the same time, WSN nodes collect data in a relatively short time; so, the same node also has similarity in similar time periods, which is called time correlation [19].Available data fusion algorithms are mainly used to reduce the number of transmissions of data between nodes and converging nodes and to transmit data to the base site after performing the fusion feature at the cluster head, thus further reducing the amount of data transmitted. Combined with the associated models, no data is collected for reducing the number of data transfer between nodes and reducing node of power consumption. When implementing such algorithms, the same model runs on both the common node and the converge node.


## 2.3. Fusion Algorithm

The cluster routing protocol divides all nodes into different levels, and nodes at different levels will undertake different tasks. The general cluster routing algorithm divides nodes into two categories: ordinary nodes and cluster heads [20]. In the network operation, a representative node captures and transmits data predominantly to the cluster leader; the cluster leader accepts node data and operates data fusion, and the resulting fused data is then forwarded to other cluster controllers or directly to the base stations. These protocols mainly use packet fusion at the clustered head to reduce the traffic of internet data. The most typical cluster based routing protocol is LEACH, which is believed to be the first cluster based routing agreement. LEACH is enforced in rounds, and each round has been further split into a clustering stage and a data transfer chapter.The choice of cluster head node depends on the number of cluster head nodes and the number of times each node becomes a cluster head. First, each sensor node will generate a random number. When the thresholdT is greater than this random number, the node is the cluster head. The threshold calculation formula is as follows:(1)T=k1−k∗rmodN/pifn∈Gr,0ifn∉Gr,whereK represents the number of cluster head nodes in the network, N represents the number of sensor nodes, and r represents the number of completions.When the minimum communication radius of the node is greater than the distance between the sending nodes, the free space model is used, where the energy consumption of the node is attenuatedd2, as shown in the following formula.(2)Erk,d=Eelec×k+εfsdn.εfs represents the power amplifier coefficient of the sending point, and d represents the distance between two sensor nodes and the energy consumption of not transmitting k bit data. The energy consumption required for each k/bit of data received is(3)ERk=Eelec×k.For traditional clustering, the role of the cluster head is relatively large. It is necessary to manage nodes, coordinate processes and process data, and finally transmit the processed data to the sink node. At this time, the energy consumption of the cluster head and the nodes in the cluster is(4)EC=ES+EM+∑i=1nEr1k+EG+Erk,d.In the algorithm, it is very important to select the cluster head. Whether a node is a cluster head node can be calculated by formula (1), but the ideal number of cluster heads is calculated by the formula.(5)kopt=N2πεfsεmpMdtoBS2.Among them,N represents the total number of nodes, dtoBS2 represents the distance from the base station to the cluster head node, M is the area size and represents the power εfs amplifier coefficient of the sending node, and εmp represents the multipath fading energy when the node sends signals. The disadvantage is that this formula is only for the uniform distribution that the node is only established.Assuming that all nodes in the network initially forward data packets from neighboring nodesxi, the total amount of data received by the source node during time t is(6)∑a=1∞∫0tliωn−1!e−liωa−1!dω=lit.Here,a is the amount of data that the data source node may receive, and li is the intensity of the data flow.The revenue of the data packet transmission of the cooperative node isb, and the revenue of the completion of the reception is 0; so, the game of node i in the j period is(7)uill,li,f=l∗b−li∗costij−f∗cosij∗nij.If the node does not cooperate in a certain time of sending data, it will be punished in the next round of cluster head selection process, and the node will not be able to obtain revenue. Each degree of cooperation is(8)r=∑i=1l∑j≠1Cnijt∑illit.Assuming that the distance between the two data source nodes isdija, then the energy consumption in the cooperative fusion path is(9)fcij=∑i=1k∑j≠1Cdijamija+nijt.If the initial energy of the node iset, the energy consumption of sending a data packet is costij, and the energy consumption in the cooperative fusion path is fc. If node i sends a fixed energy consumption of a data packet, the total number of data packets that can be sent by node i is:(10)Mi=et/costij+fcijAccording to the theory of multivariate function seeking extreme value, the weighting factor corresponding to the minimum total mean square error can be obtained as(11)Wp2=1/σp2∑in1σi2p=1,2,⋯,n.At this time, the corresponding minimum mean square error is(12)σmin2=∑i=1n1σi2.The above is an estimation based on the measured value of each sensor at a certain moment. When the estimated true valueX is a constant, it can be estimated based on the mean value of the historical data of each sensor. For k measurements made by the pth sensor, there is an average value.(13)X¯pK=1K∑i=1kXpi.The estimated value at this time is(14)X¯^=∑WpX¯pK.The total mean square error is(15)σ2=EX−X¯∧2.The same can be obtained:(16)σ2=1K∑p=1nWp2σp2.It is determined based on experience, if the measurement data does not contain any basis for determining the weight. For such measurement data with unequal accuracy, the weights should be determined based on experience. This determination method requires a wealth of measurement experience and knowledge about errors to be competent.


## 2.4. Marine Ecology

Condition of human resources and surroundings is the preconditions and the basis of human social and economic development, ecological use, and protection. The development of society and economic development can only be accomplished faster and better if the development of resources, physical, and humanitarian environment and the whole ecosystem is allowed, with the eventual aim of preserving resources and its environment [21, 22]. When the pressure of economic and social development on the support body exceeds the limit, the support body will have a negative impact and limit the sustainable development of the social economy. In the process of economic development, scientific and technological methods and development can be used to increase economic development. Increasing the carrying capacity enables economic growth to have a positive impact on the marine environment. However, although these measures can continue to increase the carrying capacity, this improvement must also be limited to the resilience of a healthy ecosystem; otherwise, the overall carrying capacity of the ecosystem will be sacrificed, and power development is not sustainable development [23].Carrying capacity was born from its application, and there have been many endeavors by many scholars to transform it from an absolute to a relativized concept. The total body of knowledge is growing and improving. In summary, the development of transferability theory companies is based at the shoulders of many “greats,” such is the development of ecological theory, the sustainable development concepts, and the overall reunderstanding of the relationship between people and land [24]. The three major portable research centers have always focused on the carrier, the object, and the scale that is most suitable for carrying. The most basic concept of transportation capacity is the transportation capacity of transportation vehicles. The transportation body usually refers to the entire ecological environment on the earth, and the objects of transportation are various activities that occur in the environment.We need to objectively understand the carrying capacity of resources and the environment from multiple perspectives, for example, from the perspective of the carrier or carrier object, that is, the material basis and higher-level economic activities [25]. In terms of natural base conditions, freight capacity can be regarded as a resource and ecological red line for the pursuit of economic advancement by human community. What this red line is the threshold that we call the threshold, i.e., the capacity limit. In the perspective of economic development, the ability to transfer resources and the environment is the magnitude of human activities that can be brought about by the economy, provided that there is no damage to nature and green development is allowed. A different social growth rate and approach to development can also affect the change in capacity of resources and the environment.The marine ecosystem is shown in Figure3. With the deepening of human understanding of ecosystem service functions, the concept of marine ecosystem service functions based on ecosystem service functions has also emerged. The research on marine ecosystem service capabilities can help further understand the ocean, rationalize its use and protection, and play a positive role in providing guidance for the scientific and rational use of resources in the future. Basically, the service functions of the marine ecosystem are different from the services the ocean provides for human in the normal sense. The scope of the marine ecosystem is shorter than the area covered by marine service concept.Figure 3
Marine ecosystem.


## 3. Experiments and Results of Marine Ecological Environment Protection

### 3.1. Current Status of Marine Ecology

Regarding marine resources, we have formed a central fishing ground in the sea in recent years. The economic fish and shrimp resources in this sea area are relatively rich, and the fishing ground environment and operating conditions are excellent. It is a perennial production fishing ground. The second is that as fishing grounds move out, the structure of fishing operations has also changed. By the end of 2020, the catches of both towing operations and shrimp fishing operations have accounted for more than 60% of the catch. We make statistics on fishermen and fishing income. The specific data are shown in Table1.Table 1
Fishing efficiency of fishery resources.
Total output2015201620172018201920206.396.776.676.716.466.62Value added2.743.242.832.752.833.1Year-end employees4.834.694.334.564.654.73Net income of fishermen2.042.292.041.871.932.43Change range2.332.192.332.242.122.5Let us take a certain city as an example. A certain city has unique natural advantages. It has developed sea, land, and air transportation, attracts a large amount of foreign investment, promotes the economic development of a certain city, and has excellent marine resources, to investigate the situation, as shown in Table2.Table 2
Status of each district in a city.
Total population (10, 000 people)Population proportion (%)Area proportion (%)Population density (person/km2)Urbanization rateDalian City298.947.8918.2111980.794Wafangshi108.419.2427.622970.281Pulandian94.214.2721.012750.262Zhuanghe97.415.0428.492270.215Changhai County8.51.341.145360.315We use the Analytic Hierarchy Process to determine the weight values of the large and medium categories of marine resources in a certain city. First, the major categories of indicators and the intermediate categories of indicators are listed into a judgment matrix table. The Delphi method and semantic variables were used to fill out the advisory, based on domestic experts in the fields of an environmental science, as well as economics, the management, and psychology. The analytical method to obtain the weights of various was indicators. The results are shown in Table3.Table 3
Weight values of marine resources.
CategoryIndex weightWeightsCategoryIndex weightWeightsD1Ocean Economic Index0.35D2Environmental index0.26Z1Total marine economy0.24Z5City launch0.18Z2Marine economic industrial structure0.15Z6Wastewater treatment0.26Z3Ocean Economic Outward Degree0.16Z7Waste management0.24Z4Environmental protection capital investment0.15Z8Governance investment0.25The numerical value of the comprehensive index itself has no image meaning, and the meaning of a series of numerical values must be defined by the limit to express its image meaning. With reference to the grading methods of various comprehensive indexes at home and abroad, a multilevel grading standard is designed, and corresponding grading comments are given. The index classification is shown in Table4.Table 4
Coordination rating table.
GradeIndex valueComments1>1.5Coordination20.8-1.5More coordinated30.4-0.7Not very coordinated40.3-0.48Uncoordinated5<0.28Very uncoordinatedAccording to this evaluation method, the current status of major international ports represented by Hong Kong, the current status of major domestic ports represented by Shanghai, the current status of Dalian, and the indicators of the annual Dalian development plan are calculated. The results are shown in Table5.Table 5
Summary of calculation results of composite indexes and major categories of indexes.
Major category indexComposite indexEnvironmentEconomySocietyOptimal index value1.472.241.821.97Hong Kong Status Quo Index1.021.361.291.24Shanghai City Index Value0.280.350.470.36Dalian Status Quo Index0.210.230.390.27Dalian Planning Index0.780.971.011.17It can be seen that the current environmental and marine economy comprehensive index of Dalian as an example in this article is only 2.7, and the corresponding grading table belongs to the level of uncoordinated development. By 2020, the Dalian Composite Index will be 1.17, which can reach a level of relatively coordinated development. The economic index value calculated according to the annual planning value of Dalian is 0.97, and the current economic index of Hong Kong is 1.36.We have made statistics on the causes of marine ecological damage in selected cities in recent years and compared them with the causes of pollution in other cities. Figure4(a) shows the selected cities, and Figure 4(b) shows the causes of ecological damage in other regions.Figure 4
Reasons for the destruction of marine ecology.
(a)(b)It can be seen from Figure4 that there are certain differences in the causes of marine ecological damage between the cities selected in this article and other regions. The main cause of marine ecological damage selected in this article is the destruction of marine diversity, but with time changes, diversity is destroyed. The proportion of reasons has fallen, and the proportion of wastewater pollution has risen. In order to strengthen the comprehensive marine pollution monitoring, monitoring forecast, and warning system and regularly evaluate the quality of the marine environment, we monitor the marine ecology through wireless network information fusion, compare the traditional monitoring methods, and calculate the monitoring efficiency. The results are shown in Figure 5.Figure 5
Comparison of monitoring efficiency.It can be seen from Figure5 that the wireless network information fusion used in this paper is much more efficient in monitoring the ocean than the traditional monitoring efficiency. In the monitoring of oil spills, red tides, and species invasions that damage the marine ecology, its monitoring efficiency must be more than 25% higher than the traditional monitoring method. Of course, monitoring cannot rely solely on speed, but also on the accuracy of monitoring. Therefore, we make statistics on the five false alarm rates and false negative rates of the two methods. The methods used in this article are as follows: Figure 6(a), the traditional method person is shown in Figure 6(b).Figure 6
Comparison of monitoring accuracy.
(a)(b)As shown in Figure6, we can clearly see that in terms of false negative rate and false positive rate, this article is based on wireless network information fusion technology, and the accuracy rate is significantly higher than the traditional method, in terms of false negative rate, the method of this article The average underreporting is about 0.03, while the underreporting rate of traditional methods is about 0.057, which is about 0.03 higher than the method in this paper. This shows that the method in this paper can play a more important role in marine ecological monitoring than the traditional method.


### 3.2. Legal System Construction

In the “Marine Ecological Protection Compensation Law,” the principles of marine ecological protection compensation, the subject of rights and obligations, and the scope and standards of compensation, as well as the specific methods and procedures of marine ecological protection, are stipulated in general. The “Protection Law” and the “Marine Environmental Protection Law” are connected and must not be out of touch with the “Environmental Protection Law” and the “Marine Environmental Protection Law.” For marine ecosystems, the main source of damage comes from humans. We count the number of times that different sewage outlets meet the standards, as shown in Figure7.Figure 7
Statistics of the number of times the sewage outlet meets the standard.It can be seen that among the sources of man-made damage, noncompliance of sewage outlets is the main factor in the destruction of marine ecosystems. The water quality near the key sewage outlets is inferior to the fourth category of sea water quality standards, accounting for 75% of the total monitored. Inorganic nitrogen is the main pollutant element in the waters adjacent to the sewage outlet. This shows that our protection of marine ecology should start from here.We have conducted statistics on the successful prevention of marine ecological damage through legal measures, and the results are shown in Figure8.Figure 8
Laws to stop ecological damage.It can be seen from Figure8 that holding polluting companies accountable through legal means can effectively stop marine ecological damage. However, marine ecological damage has become more and more serious in recent years. However, there are not many cases of accountability through legal means, and it is difficult to conduct damages. Effective deterrence is also related to the difficulty of dividing responsibilities.Through wireless network information fusion, the main body that is destroying the ocean can be effectively discovered. Information fusion can effectively identify the difference between water quality and carefully observe and analyze the newly emerging parts, and if it is a harmful factor similar to biological invasion and artificial help, the ecological environment system is wiped out. We make statistics on the recognition rate before and after information fusion, as shown in Figure9.Figure 9
Recognition rate before and after information fusion.It can be seen from Figure9 that the information fusion technology used in this article has greatly improved the pollution source identification compared with the traditional methods. The average identification value of the traditional methods is only about 2, but the information fusion method in this article can increase the identification value to about 3.7. The increase rate is more than 80%. Generally speaking, with the change of time, the difficulty of identification will increase. We conduct statistics on the identification of 3 months. Figures 10(a)–(d) are, respectively, 7 days, 15 days, 30 days, and 3 months.Figure 10
Recognition efficiency at different times.
(a)(b)(c)(d)It can be seen from Figure10 that the identification efficiency of the information fusion method used in this article is much higher than that of the traditional method, and with the increase of time, the identification efficiency of the two methods is decreasing, but the information fusion method used in this article after 3 months, the recognition efficiency is still more than 20% higher than the traditional method.


## 3.1. Current Status of Marine Ecology

Regarding marine resources, we have formed a central fishing ground in the sea in recent years. The economic fish and shrimp resources in this sea area are relatively rich, and the fishing ground environment and operating conditions are excellent. It is a perennial production fishing ground. The second is that as fishing grounds move out, the structure of fishing operations has also changed. By the end of 2020, the catches of both towing operations and shrimp fishing operations have accounted for more than 60% of the catch. We make statistics on fishermen and fishing income. The specific data are shown in Table1.Table 1
Fishing efficiency of fishery resources.
Total output2015201620172018201920206.396.776.676.716.466.62Value added2.743.242.832.752.833.1Year-end employees4.834.694.334.564.654.73Net income of fishermen2.042.292.041.871.932.43Change range2.332.192.332.242.122.5Let us take a certain city as an example. A certain city has unique natural advantages. It has developed sea, land, and air transportation, attracts a large amount of foreign investment, promotes the economic development of a certain city, and has excellent marine resources, to investigate the situation, as shown in Table2.Table 2
Status of each district in a city.
Total population (10, 000 people)Population proportion (%)Area proportion (%)Population density (person/km2)Urbanization rateDalian City298.947.8918.2111980.794Wafangshi108.419.2427.622970.281Pulandian94.214.2721.012750.262Zhuanghe97.415.0428.492270.215Changhai County8.51.341.145360.315We use the Analytic Hierarchy Process to determine the weight values of the large and medium categories of marine resources in a certain city. First, the major categories of indicators and the intermediate categories of indicators are listed into a judgment matrix table. The Delphi method and semantic variables were used to fill out the advisory, based on domestic experts in the fields of an environmental science, as well as economics, the management, and psychology. The analytical method to obtain the weights of various was indicators. The results are shown in Table3.Table 3
Weight values of marine resources.
CategoryIndex weightWeightsCategoryIndex weightWeightsD1Ocean Economic Index0.35D2Environmental index0.26Z1Total marine economy0.24Z5City launch0.18Z2Marine economic industrial structure0.15Z6Wastewater treatment0.26Z3Ocean Economic Outward Degree0.16Z7Waste management0.24Z4Environmental protection capital investment0.15Z8Governance investment0.25The numerical value of the comprehensive index itself has no image meaning, and the meaning of a series of numerical values must be defined by the limit to express its image meaning. With reference to the grading methods of various comprehensive indexes at home and abroad, a multilevel grading standard is designed, and corresponding grading comments are given. The index classification is shown in Table4.Table 4
Coordination rating table.
GradeIndex valueComments1>1.5Coordination20.8-1.5More coordinated30.4-0.7Not very coordinated40.3-0.48Uncoordinated5<0.28Very uncoordinatedAccording to this evaluation method, the current status of major international ports represented by Hong Kong, the current status of major domestic ports represented by Shanghai, the current status of Dalian, and the indicators of the annual Dalian development plan are calculated. The results are shown in Table5.Table 5
Summary of calculation results of composite indexes and major categories of indexes.
Major category indexComposite indexEnvironmentEconomySocietyOptimal index value1.472.241.821.97Hong Kong Status Quo Index1.021.361.291.24Shanghai City Index Value0.280.350.470.36Dalian Status Quo Index0.210.230.390.27Dalian Planning Index0.780.971.011.17It can be seen that the current environmental and marine economy comprehensive index of Dalian as an example in this article is only 2.7, and the corresponding grading table belongs to the level of uncoordinated development. By 2020, the Dalian Composite Index will be 1.17, which can reach a level of relatively coordinated development. The economic index value calculated according to the annual planning value of Dalian is 0.97, and the current economic index of Hong Kong is 1.36.We have made statistics on the causes of marine ecological damage in selected cities in recent years and compared them with the causes of pollution in other cities. Figure4(a) shows the selected cities, and Figure 4(b) shows the causes of ecological damage in other regions.Figure 4
Reasons for the destruction of marine ecology.
(a)(b)It can be seen from Figure4 that there are certain differences in the causes of marine ecological damage between the cities selected in this article and other regions. The main cause of marine ecological damage selected in this article is the destruction of marine diversity, but with time changes, diversity is destroyed. The proportion of reasons has fallen, and the proportion of wastewater pollution has risen. In order to strengthen the comprehensive marine pollution monitoring, monitoring forecast, and warning system and regularly evaluate the quality of the marine environment, we monitor the marine ecology through wireless network information fusion, compare the traditional monitoring methods, and calculate the monitoring efficiency. The results are shown in Figure 5.Figure 5
Comparison of monitoring efficiency.It can be seen from Figure5 that the wireless network information fusion used in this paper is much more efficient in monitoring the ocean than the traditional monitoring efficiency. In the monitoring of oil spills, red tides, and species invasions that damage the marine ecology, its monitoring efficiency must be more than 25% higher than the traditional monitoring method. Of course, monitoring cannot rely solely on speed, but also on the accuracy of monitoring. Therefore, we make statistics on the five false alarm rates and false negative rates of the two methods. The methods used in this article are as follows: Figure 6(a), the traditional method person is shown in Figure 6(b).Figure 6
Comparison of monitoring accuracy.
(a)(b)As shown in Figure6, we can clearly see that in terms of false negative rate and false positive rate, this article is based on wireless network information fusion technology, and the accuracy rate is significantly higher than the traditional method, in terms of false negative rate, the method of this article The average underreporting is about 0.03, while the underreporting rate of traditional methods is about 0.057, which is about 0.03 higher than the method in this paper. This shows that the method in this paper can play a more important role in marine ecological monitoring than the traditional method.


## 3.2. Legal System Construction

In the “Marine Ecological Protection Compensation Law,” the principles of marine ecological protection compensation, the subject of rights and obligations, and the scope and standards of compensation, as well as the specific methods and procedures of marine ecological protection, are stipulated in general. The “Protection Law” and the “Marine Environmental Protection Law” are connected and must not be out of touch with the “Environmental Protection Law” and the “Marine Environmental Protection Law.” For marine ecosystems, the main source of damage comes from humans. We count the number of times that different sewage outlets meet the standards, as shown in Figure7.Figure 7
Statistics of the number of times the sewage outlet meets the standard.It can be seen that among the sources of man-made damage, noncompliance of sewage outlets is the main factor in the destruction of marine ecosystems. The water quality near the key sewage outlets is inferior to the fourth category of sea water quality standards, accounting for 75% of the total monitored. Inorganic nitrogen is the main pollutant element in the waters adjacent to the sewage outlet. This shows that our protection of marine ecology should start from here.We have conducted statistics on the successful prevention of marine ecological damage through legal measures, and the results are shown in Figure8.Figure 8
Laws to stop ecological damage.It can be seen from Figure8 that holding polluting companies accountable through legal means can effectively stop marine ecological damage. However, marine ecological damage has become more and more serious in recent years. However, there are not many cases of accountability through legal means, and it is difficult to conduct damages. Effective deterrence is also related to the difficulty of dividing responsibilities.Through wireless network information fusion, the main body that is destroying the ocean can be effectively discovered. Information fusion can effectively identify the difference between water quality and carefully observe and analyze the newly emerging parts, and if it is a harmful factor similar to biological invasion and artificial help, the ecological environment system is wiped out. We make statistics on the recognition rate before and after information fusion, as shown in Figure9.Figure 9
Recognition rate before and after information fusion.It can be seen from Figure9 that the information fusion technology used in this article has greatly improved the pollution source identification compared with the traditional methods. The average identification value of the traditional methods is only about 2, but the information fusion method in this article can increase the identification value to about 3.7. The increase rate is more than 80%. Generally speaking, with the change of time, the difficulty of identification will increase. We conduct statistics on the identification of 3 months. Figures 10(a)–(d) are, respectively, 7 days, 15 days, 30 days, and 3 months.Figure 10
Recognition efficiency at different times.
(a)(b)(c)(d)It can be seen from Figure10 that the identification efficiency of the information fusion method used in this article is much higher than that of the traditional method, and with the increase of time, the identification efficiency of the two methods is decreasing, but the information fusion method used in this article after 3 months, the recognition efficiency is still more than 20% higher than the traditional method.


## 4. Discussion

As long as there is a sea, there will be a maritime industry. Due to the geographical location and natural distribution of the ocean, its inherent uncontrollable factors are very large. In addition, the content and services involved in this industry are very numerous and complex. They are all confined in the marine environment, interacting with each other, and there will be confusion if you are not paying attention. This requires the participation of maritime administrative departments to play a role. Because marine resources can bring huge benefits, many industrial sectors endanger the environment to varying degrees while pursuing benefits. Some companies that put interests first are pursuing reputation and wealth at the expense of the environment. Therefore, it is necessary to improve ocean management technology, control this aspect, prevent damage to the environment and resources by effective means, and maintain the balance and development of the ocean. In terms of management, it can be divided into two parts: on the one hand, the internal management content of the shipping industry is mainly dedicated to the management of individuals and departments involved or related to the shipping industry. On the other hand, it is social management, which provides marine awareness training and education to the public so that they can also participate in management work, play a role of maintenance and supervision, coordinate various content management, and achieve the ultimate goal.Let everyone know and understand the marine culture and then continue to raise awareness and create a good atmosphere for the protection of marine resources for the whole society. We must take it as our responsibility and obligation and apply it carefully. In addition to the efforts of the broad masses of people, the marine cultural system also needs to be deepened and reformed. Continue to delve into details, increase efforts, link science with the rule of law, and learn to use the power of law to regulate systems. Let the law become the guarantee and foundation of the system and a favorable tool and tool for reform. As long as we pay attention to the above aspects and use them without reservation, marine ecological construction will surely be successful. This successful process is long and difficult. We must always adjust our thinking, and we should not slack in our efforts to promote the development of my country’s marine industry and the construction of marine ecological culture.Conservation of marine fisheries and marine biodiversity cannot rely on the institutions and legislations above all. The self-generated knowledge and support of fishermen are also important. The participation and work of many forces are needed for the good implementation of the proposed policy. One is convinced that we need to raise people’s consciousness of resource conservation so that they can recognize the importance of resources at the intellectual level and are essentially willing to make contributions to the conservation and circulation of resources in an effort to avoid the appearance of excess fishing to the maximum extent practicable.


## 5. Conclusions

My country is a maritime power and is developing step by step to a maritime power. The marine ecological protection compensation system is an important institutional support in the process of my country’s development to a maritime power. Only when the marine ecological protection compensation system is built can it develop into a maritime power. The marine ecological protection and compensation system can not only reduce the damage to the marine ecological environment caused by the development and utilization of marine resources but also alleviate the impact of marine ecological damage on the sustainable development of the marine economy. Therefore, it is to solve the development and utilization of marine resources and alleviate the development of marine economy. Protecting the marine ecological environment is the most effective means. Accelerate the establishment of a supporting system for the marine ecological protection and compensation system and truly establish a marine ecological protection and compensation system that conforms to my country’s national conditions, so that my country’s marine ecological environment can develop healthily. Of course, there are some shortcomings in this article. The selection of theoretical basis may conflict with actual conditions in actual operation. Due to the limitations of literature and the author’s limited comprehensive analysis ability, the analysis of the problem may not be indepth, and the countermeasures the presentation may not be precise enough.



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*Source: 1611707-2021-10-15.xml*