An ecological environment monitoring and supervision system

Abstract

This invention belongs to the field of ecological management, specifically relating to an ecological environment monitoring and supervision system. This system includes an environmental monitoring module, a signal data encryption module, a signal data transmission module, an encrypted signal preprocessing module, an environmental visualization and supervision module, an environmental data early warning module, and an environmental control module. The proposed ecological environment monitoring and supervision system uses sensors to monitor environmental data in real time. This encrypted environmental data is transmitted to a monitoring and processing center and then visualized. Using a proposed environmental data correlation analysis algorithm, the system analyzes the correlation and impact of changes in environmental data, provides early warnings, and implements corresponding early warning and control measures. By integrating multiple functions such as environmental monitoring, data encryption, data transmission, data processing, visualization, early warning, and control measures, this invention achieves comprehensive monitoring and effective supervision of environmental data.

Description

Technical Field

[0001] The present invention relates to the field of ecological management, and in particular to an ecological environment monitoring and supervision system. Background Art

[0002] With the rapid development of global industrialization and urbanization, environmental pollution has become increasingly serious. The existing environmental monitoring technologies and systems can monitor and warn environmental conditions to a certain extent, but there are still many shortcomings. First, most traditional environmental monitoring systems rely on fixed monitoring points, with limited monitoring coverage, and cannot fully and real-time grasp the environmental conditions. Secondly, there are security risks in the transmission and storage of monitoring data, and the data may be tampered with or leaked, affecting the accuracy and credibility of the monitoring results. In addition, the existing system is also insufficient in data analysis and processing capabilities, and cannot conduct comprehensive analysis and early warning of environmental data in a timely and effective manner, resulting in a significant reduction in the response speed and effectiveness of environmental governance.

[0003] In order to deal with the above problems, various new technologies such as the Internet of Things, big data analysis, cloud computing and artificial intelligence are gradually being applied in the field of environmental monitoring. The Internet of Things technology can connect sensors to the network, making the collection and transmission of environmental data more efficient and extensive. Big data analysis and cloud computing technology can quickly process and analyze a large amount of environmental data, providing more accurate environmental assessment and prediction. Artificial intelligence technology can discover complex relationships between data through machine learning algorithms, providing support for environmental early warning and decision-making.

[0004] Although the application of new technologies has brought new opportunities for environmental monitoring, it still faces many challenges in its actual application. For example, how to ensure the accuracy and real-time nature of data collection in complex environments, how to protect the privacy and security of environmental data, and how to promptly detect environmental anomalies through data analysis and provide effective early warnings are all issues that need to be addressed. Summary of the invention

[0005] In response to the above problems, the present invention proposes an ecological environment monitoring and supervision system, which aims to achieve comprehensive monitoring and effective supervision of environmental data by integrating multiple functions such as environmental monitoring, data encryption, data transmission, data processing, visualization, data early warning and governance processing.

[0006] In order to achieve the above-mentioned purpose, the present invention proposes an ecological environment monitoring and supervision system, including an environmental monitoring module, a signal data encryption module, a signal data transmission module, an encrypted signal preprocessing module, an environmental visualization supervision module, an environmental data early warning module, and an environmental control module; the environmental monitoring module collects environmental data in real time through sensors; the signal data encryption module securely encrypts the collected environmental data by proposing a dynamic data encryption algorithm; the signal data transmission module transmits the securely encrypted environmental signal data through a wired network based on a transmission protocol; the encrypted signal preprocessing module processes the securely encrypted environmental signal data; the environmental visualization supervision module visualizes the environmental data through a display device; the environmental data early warning module proposes a correlation analysis algorithm to analyze and determine the degree of influence between each environmental signal data; the environmental control module performs corresponding governance on the environment by proposing environmental control and governance measures.

[0007] Furthermore, the environmental monitoring module installs sensors in the surrounding environment to be monitored to monitor the surrounding environment in real time, thereby realizing real-time collection of environment-related data.

[0008] Furthermore, the dynamic encryption algorithm constructs a signal gain matrix based on the transmission process of signal data, establishes a secure transmission protocol, and dynamically updates the key based on the shared key to perform data encryption.

[0009] Furthermore, the data encryption process is as follows:

[0010] Each sensor transmits environmental signal data, and the environmental signal receiver receives the transmitted environmental signal data. All sensor signal transmissions constitute a signal transmission set. , which is expressed as follows:

[0011] ,

[0012] in, They represent the signal transmission of the first sensor, the signal transmission of the second sensor, and the The signal transmission of the sensor The signal transmission of each sensor, and the environmental signal receiver receives the signal transmitted by the sensor, forming a signal receiving set , which is expressed as follows:

[0013] ,

[0014] in, Respectively represent the signal reception of the first environmental signal receiver, the signal reception of the second environmental signal receiver, and the The signal reception of the first environmental signal receiver, The signal is received by the environmental signal receiver, and the signal gain is generated during the signal data transmission between the sensor and the environmental signal receiver. The signal gain constitutes a matrix , which is expressed as follows:

[0015] ,

[0016] in, They represent the signal gain generated by data transmission between the first sensor and the first environmental signal receiver, the signal gain generated by the first sensor and the The signal gain generated by data transmission between the first and second ambient signal receivers, The sensor and The signal gain generated by data transmission between the first and second ambient signal receivers, The signal gain generated by the data transmission between the first sensor and the first environmental signal receiver, The sensor and The signal gain generated by data transmission between environmental signal receivers is based on signal data transmission and data reception. The signal transmission of each sensor removes the signal gain generated by receiver signal reception and data transmission, and constructs a secure transmission protocol, which is expressed as follows:

[0017] ,

[0018] in, Represents a secure transmission protocol function, represents the sharing coefficient, Indicates the number of sensors, Indicates the number of signal receivers. In the secure transmission protocol, dynamic key encryption technology is introduced to dynamically update the key based on real-time updates of signal data. For each sensor, a shared key is defined , the shared key is expressed as follows:

[0019] ,

[0020] in, The key of the first sensor, the key of the first sensor and the key of the The shared key between the sensors The sensor and The shared key between the sensors The shared key between the first sensor and the first sensor, The steps to update the shared key between sensors are as follows:

[0021] ,

[0022] in, Indicates Sensors, Indicates Sensors, express A random number between Represents the update value. Based on the node location distance and key coverage area of ​​each sensor node, the update target value of the dynamic key is obtained. The formula is as follows:

[0023] ,

[0024] in, represents the target value function, represents the key coverage area of ​​the received signal, represents the dynamic key coverage radius, Indicates the location of data transmission. Indicates the total number of positions, updates the dynamic key in the data transmission format, and completes the data transmission encryption. The dynamic encryption algorithm proposed in the present invention builds a signal gain matrix based on the transmission process of signal data, establishes a secure transmission protocol based on signal data transmission and data reception, and proposes a shared key between sensors, dynamically updates the key, and realizes data encryption. The dynamic encryption algorithm proposed in the present invention utilizes the key sharing mechanism between sensors to dynamically update the key, and has a better encryption effect than the traditional encryption algorithm.

[0025] Furthermore, in the signal data transmission module, each sensor builds a local area network for data transmission between the sensor and the data storage center through a wired network based on the local area network protocol LAN Protocols, and performs communication and data transmission between the sensor and the data storage center in the local area network through the local area network protocol.

[0026] Furthermore, the encrypted signal preprocessing module processes the securely encrypted environmental signal data, including data decryption, data cleaning, and data filtering operations.

[0027] Furthermore, the environmental visualization monitoring module uses a modular large-screen display to visualize the environmental signal data after data processing, and displays the change gain of the environmental data in real time in the form of dynamic charts.

[0028] Furthermore, the correlation analysis algorithm calculates the relationship transfer feature function according to the type and characteristics of the environmental signal data, and calculates the random field factor based on the relationship transfer feature. , obtain the relationship between environmental signal data and features, analyze and determine the degree of influence between each environmental signal data, and issue early warning for data correlation fluctuations.

[0029] Furthermore, the analysis determines the influence degree between the environmental signal data, and the detailed process is as follows:

[0030] The collected environmental signal data are divided into different categories, expressed as:

[0031] ,

[0032] in, Represents a data set of environmental signal data types, Respectively represent the first type of environmental signal data, the second type of environmental signal data, Environmental signal data, For environmental signal data, there is a correlation between different types of data. A correlation model is built based on the random field model, and the relationship transfer feature function is defined. The expression is as follows:

[0033] ,

[0034] in, Respectively represent Class characteristics, Class characteristics, Class features, Indicates environmental signal data In Features The relationship transfer characteristics under Indicates environmental signal data Belong to the characteristics The probability of, based on the relationship transfer characteristics, calculate the random field factor , the calculation formula is as follows:

[0035] ,

[0036] in, Representation characteristics Weights, Indicates the total number of environmental signal data, Represents the total number of features, based on the random field factor , analyze the relationship between each environmental signal data and characteristics , the calculation formula is as follows:

[0037] ,

[0038] in, The correlation analysis algorithm proposed in this invention calculates the relationship transfer feature function according to the type and characteristics of the environmental signal data, and calculates the random field factor based on the relationship transfer feature. , obtain the relationship between the environmental signal data and the features, and analyze and determine the degree of influence between the environmental signal data. The correlation analysis algorithm proposed in the present invention can analyze the relationship between the data through the relationship between the environmental signal data and the features, and can better analyze and determine the degree of influence between the data.

[0039] Furthermore, the environmental control module proposes corresponding environmental protection processing methods based on the early warning results of the environmental data, performs corresponding control processing on the environment, and restores the corresponding environmental data.

[0040] The beneficial effects of the present invention are as follows:

[0041] 1. The dynamic encryption algorithm proposed by the signal data encryption module of the present invention constructs a signal gain matrix based on the transmission process of signal data, establishes a secure transmission protocol based on signal data transmission and data reception, and proposes a shared key between sensors, dynamically updates the key, and realizes data encryption; the dynamic encryption algorithm proposed by the present invention utilizes the key sharing mechanism between sensors and dynamically updates the key, and has a better encryption effect than the traditional encryption algorithm;

[0042] 2. The correlation analysis algorithm proposed by the environmental data early warning module of the present invention calculates the relationship transfer characteristic function according to the type and characteristics of the environmental signal data, and calculates the random field factor based on the relationship transfer characteristics. , obtain the relationship between environmental signal data and features, and analyze and determine the degree of influence between various environmental signal data;

[0043] 3. The correlation analysis algorithm proposed in the present invention can analyze the relationship between data through the relationship between environmental signal data and features, and can better analyze and determine the degree of influence between various data. This can then provide early warning for other environmental data when environmental data fluctuates. The signal data encryption module uses a dynamic data encryption algorithm to dynamically adjust the encryption strength according to the importance and sensitivity of the data to ensure the security of the data during collection, transmission and storage. In this way, data can be prevented from being tampered with or leaked during transmission, ensuring the integrity and credibility of the data, and providing reliable data support for environmental supervision;

[0044] 4. The environmental visualization supervision module of the present invention uses display devices such as terminals to intuitively display environmental data to supervisors. The data visualization display includes charts, maps and real-time monitoring data, which help supervisors quickly understand environmental conditions, discover abnormal situations, and improve the efficiency and effectiveness of environmental management. Through the correlation analysis algorithm, the environmental data is comprehensively analyzed to discover abnormal changes and potential risks between data. When an abnormal situation is detected, the system can issue an early warning signal in time to remind supervisors to take corresponding measures. The intelligent early warning function improves the prediction ability and response speed of environmental risks, and helps to avoid and reduce the impact of environmental pollution incidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings in the following description are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 It is a system diagram of the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1 In order to achieve the above-mentioned purpose, the present invention proposes an ecological environment monitoring and supervision system, including an environmental monitoring module, a signal data encryption module, a signal data transmission module, an encrypted signal preprocessing module, an environmental visualization supervision module, an environmental data early warning module, and an environmental control module; the environmental monitoring module collects environmental data in real time through sensors; the signal data encryption module performs secure encryption processing on the collected environmental data by proposing a dynamic data encryption algorithm; the signal data transmission module transmits the securely encrypted environmental signal data through a wired network based on a transmission protocol; the encrypted signal preprocessing module performs data processing on the securely encrypted environmental signal data; the environmental visualization supervision module visualizes the environmental data through a display device; the environmental data early warning module proposes a correlation analysis algorithm to analyze and determine the degree of influence between each environmental signal data; the environmental control module performs corresponding governance on the environment by proposing environmental control and governance measures.

[0049] See also Figure 1 The environmental monitoring module installs sensors in the surrounding environment to be monitored to monitor the surrounding environment in real time and collect environmental data in real time. The dynamic encryption algorithm builds a signal gain matrix based on the transmission process of signal data, establishes a secure transmission protocol, and dynamically updates the key based on the shared key to encrypt the data. The detailed process is as follows:

[0050] Each sensor transmits environmental signal data, and the environmental signal receiver receives the transmitted environmental signal data. All sensor signal transmissions constitute a signal transmission set. , which is expressed as follows:

[0051] ,

[0052] in, They represent the signal transmission of the first sensor, the signal transmission of the second sensor, and the The signal transmission of the sensor The signal transmission of each sensor, and the environmental signal receiver receives the signal transmitted by the sensor, forming a signal receiving set , which is expressed as follows:

[0053] ,

[0054] in, Respectively represent the signal reception of the first environmental signal receiver, the signal reception of the second environmental signal receiver, and the The signal reception of the first environmental signal receiver, The signal is received by the environmental signal receiver, and the signal gain is generated during the signal data transmission between the sensor and the environmental signal receiver. The signal gain constitutes a matrix , which is expressed as follows:

[0055] ,

[0056] in, They represent the signal gain generated by data transmission between the first sensor and the first environmental signal receiver, the signal gain generated by the first sensor and the The signal gain generated by data transmission between the first and second ambient signal receivers, The sensor and The signal gain generated by data transmission between the first and second ambient signal receivers, The signal gain generated by the data transmission between the first sensor and the first environmental signal receiver, The sensor and The signal gain generated by data transmission between the environmental signal receivers is based on signal data transmission and data reception.

[0057] The signal transmission of each sensor removes the signal gain generated by the receiver signal reception and data transmission, and constructs a safe transmission protocol, which is expressed as follows:

[0058] ,

[0059] in, Represents a secure transmission protocol function, represents the sharing coefficient, Indicates the number of sensors, Indicates the number of signal receivers. In the secure transmission protocol, dynamic key encryption technology is introduced to dynamically update the key based on real-time updates of signal data. For each sensor, a shared key is defined , the shared key is expressed as follows:

[0060] ,

[0061] in, The key of the first sensor, the key of the first sensor and the key of the The shared key between the sensors The sensor and The shared key between the sensors The shared key between the first sensor and the first sensor, The steps to update the shared key between sensors are as follows:

[0062] ,

[0063] in, Indicates Sensors, Indicates Sensors, express A random number between Represents the update value. Based on the node location distance and key coverage area of ​​each sensor node, the update target value of the dynamic key is obtained. The formula is as follows:

[0064] ,

[0065] in, represents the target value function, represents the key coverage area of ​​the received signal, represents the dynamic key coverage radius, Indicates the location of data transmission. Indicates the total number of locations, updates the dynamic key in the data transmission format, and completes data transmission encryption.

[0066] See also Figure 1 , signal data transmission module, each sensor uses a wired network to build a local area network for data transmission between the sensor and the data storage center based on the LAN Protocols, and the communication and data transmission process between the sensor and the data storage center is carried out in the local area network through the LAN Protocol. The encrypted signal preprocessing module processes the securely encrypted environmental signal data, including data decryption, data cleaning, and data filtering operations. The environmental visualization supervision module uses a modular large-screen display to visualize the processed environmental signal data, and uses dynamic charts to display the change gain of environmental data in real time. The correlation analysis algorithm calculates the relationship transfer characteristic function according to the type and characteristics of the environmental signal data, and calculates the random field factor based on the relationship transfer characteristics. , get the relationship between environmental signal data and features, analyze and judge the influence degree between each environmental signal data, the detailed process is as follows:

[0067] The collected environmental signal data are divided into different categories, expressed as:

[0068] ,

[0069] in, Represents a data set of environmental signal data types, Respectively represent the first type of environmental signal data, the second type of environmental signal data, Environmental signal data, For environmental signal data, there is a correlation between different types of data. A correlation model is built based on the random field model, and the relationship transfer feature function is defined. The expression is as follows:

[0070] ,

[0071] in, Respectively represent Class characteristics, Class characteristics, Class features, Indicates environmental signal data In Features The relationship transfer characteristics under Indicates environmental signal data Belong to the characteristics The probability of, based on the relationship transfer characteristics, calculate the random field factor , the calculation formula is as follows:

[0072] ,

[0073] in, Representation characteristics Weights, Indicates the total number of environmental signal data, Represents the total number of features, based on the random field factor , analyze the relationship between each environmental signal data and characteristics , the calculation formula is as follows:

[0074] ,

[0075] in, It represents the state function, and issues early warning according to the changes of environmental signal data.

[0076] The environmental control module proposes corresponding environmental protection processing methods based on the early warning results of the environmental data, performs corresponding control processing on the environment, and restores the corresponding environmental data.

[0077] In a specific embodiment, first, in the environmental monitoring module, by installing sensors, environmental data of the environment to be monitored is collected in real time. Then, in the signal data encryption module, a dynamic data encryption algorithm is used to dynamically update the key based on the shared key to encrypt the collected environmental data. Then, the signal data transmission module builds a local area network for data transmission between the sensor and the data storage center based on the local area network protocol LAN Protocols to communicate and transmit data between the sensor and the data storage center. After that, the securely encrypted environmental signal data is processed through data decryption, data cleaning, and data filtering. Then, the gain of the environmental signal data is visualized in the form of dynamic charts through a modular large-screen display. Then, a correlation analysis algorithm is used to analyze and determine the degree of influence and correlation between each environmental signal data based on the type and characteristics of the environmental signal data and the relationship transfer characteristics, and an early warning is issued for fluctuations in strongly correlated data. Finally, based on the early warning results of the environmental data, a corresponding environmental protection processing method is proposed to perform corresponding control processing on the environment.

[0078] Each embodiment in this specification is described in a related manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0079] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention are included in the protection scope of the present invention.

Claims

1. An ecological environment monitoring and supervision system, characterized in that: It includes environment monitoring module, signal data encryption module, signal data transmission module, encrypted signal preprocessing module, environment visualization supervision module, environment data early warning module and environment control module; The environmental monitoring module collects environmental data in real time through sensors; the signal data encryption module securely encrypts the collected environmental data by proposing a dynamic data encryption algorithm; The signal data transmission module transmits the securely encrypted environmental signal data through a wired network based on a transmission protocol; the encrypted signal preprocessing module processes the securely encrypted environmental signal data; The environmental visualization monitoring module visualizes environmental data through display devices; the environmental data early warning module proposes a correlation analysis algorithm to analyze and determine the degree of influence between various environmental signal data and issue early warnings; The environmental control module manages the environment accordingly by proposing environmental control measures; The dynamic encryption algorithm constructs a signal gain matrix based on the transmission process of signal data, establishes a secure transmission protocol, and dynamically updates the key based on the shared key to encrypt data; The detailed process of data encryption is as follows: Each sensor transmits environmental signal data, and the environmental signal receiver receives the transmitted environmental signal data. All sensor signal transmissions constitute a signal transmission set S send , which is expressed as follows: S send =[s 1 send ,s 2 send ,…,s i send ,…,s n send ], Among them, s 1 send 、s 2 send 、s i send 、s n send They represent the signal transmission of the first sensor, the signal transmission of the second sensor, the signal transmission of the i-th sensor, and the signal transmission of the n-th sensor respectively. The environmental signal receiver receives the signal transmitted by the sensor, forming a signal receiving set A. rece , which is expressed as follows: A rece =[a 1 rece ,a 2 rece ,…,a j rece ,…,a m rece ], Among them, a 1 rece 、a 2 rece 、a j rece 、a m rece They represent the signal reception of the first environmental signal receiver, the signal reception of the second environmental signal receiver, the signal reception of the jth environmental signal receiver, and the signal reception of the mth environmental signal receiver. Signal gain is generated during the signal data transmission between the sensor and the environmental signal receiver. The signal gain constitutes a matrix D, which is expressed as follows: Among them, D 1,1 , D 1,m , D i,j , D n,1 , D n,m They respectively represent the signal gain generated by data transmission between the 1st sensor and the 1st environmental signal receiver, the signal gain generated by data transmission between the 1st sensor and the mth environmental signal receiver, the signal gain generated by data transmission between the ith sensor and the jth environmental signal receiver, the signal gain generated by data transmission between the nth sensor and the 1st environmental signal receiver, and the signal gain generated by data transmission between the nth sensor and the mth environmental signal receiver. Based on signal data transmission and data reception, The signal transmission of each sensor removes the signal gain generated by the receiver signal reception and data transmission, and constructs a safe transmission protocol, which is expressed as follows: in, Represents the secure transmission protocol function, I i,j Represents the sharing coefficient, n represents the number of sensors, and m represents the number of signal receivers. In the secure transmission protocol, dynamic key encryption technology is introduced to dynamically update the key based on real-time update of signal data. For each sensor, a shared key α is defined. The shared key is expressed as follows: in, They represent the key of the first sensor itself, the shared key between the first sensor and the nth sensor, the shared key between the i-th sensor and the k-th sensor, the shared key between the n-th sensor and the first sensor, and the key of the n-th sensor itself. The steps for updating the shared keys are as follows: {b} i sens ,b k sens ,rand(0,1)|a i,k key }→(a i,k key )′, Among them, β i sens represents the i-th sensor, β k sens represents the kth sensor, rand(0,1) represents a random number between (0,1), (·)′ represents the update value, and the update target value of the dynamic key is obtained based on the node location distance of each sensor node and the key coverage area. The formula is as follows: Among them, φ(·) represents the target value function, R i,k represents the key coverage area of ​​the received signal, L represents the dynamic key coverage radius, h represents the location during data transmission, and h total Indicates the total number of locations, updates the dynamic key in the data transmission format, and completes data transmission encryption.

2. The ecological environment monitoring and supervision system according to claim 1 is characterized in that: The environment monitoring module monitors the surrounding environment in real time by installing sensors in the surrounding environment to be monitored, thereby realizing real-time collection of environment-related data.

3. The ecological environment monitoring and supervision system according to claim 1 is characterized in that: In the signal data transmission module, each sensor builds a local area network for data transmission between the sensor and the data storage center through a wired network based on the local area network protocol LAN Protocols, and performs communication and data transmission between the sensor and the data storage center in the local area network through the local area network protocol.

4. The ecological environment monitoring and supervision system according to claim 1 is characterized in that: The encrypted signal preprocessing module processes the securely encrypted environmental signal data, including data decryption, data cleaning, and data filtering operations.

5. The ecological environment monitoring and supervision system according to claim 1 is characterized in that: The environmental visualization monitoring module uses a modular large-screen display to visualize the environmental signal data after data processing, and displays the change gain of the environmental data in real time in the form of dynamic charts.

6. The ecological environment monitoring and supervision system according to claim 1 is characterized in that: The correlation analysis algorithm calculates the relationship transfer characteristic function according to the type and characteristics of the environmental signal data, calculates the random field factor U based on the relationship transfer characteristics, obtains the relationship between the environmental signal data and the characteristics, analyzes and determines the degree of influence between the environmental signal data, and issues a data correlation fluctuation warning.

7. The ecological environment monitoring and supervision system according to claim 6 is characterized in that: The analysis and judgment of the influence degree between the environmental signal data is as follows: The collected environmental signal data are divided into different categories, expressed as: X=[x 1 env ,x 2 env ,…,x i env ,…,x n env ], Among them, X represents the data set of environmental signal data types, x 1 env 、x 2 env 、x i env , n env They represent the first type of environmental signal data, the second type of environmental signal data, the i-th type of environmental signal data, and the n-th type of environmental signal data respectively. There is a correlation between different types of data. A correlation model is constructed based on the random field model, and the relationship transfer characteristic function is defined. The expression is as follows: g(y k |x i env )=|t(y k |x i env )-t(y k+1 |x i env )|+|t(y k |x i env )-t(y k-1 |x i env )|, Among them, y k ,y k+1 ,y k-1 They represent the k-th feature, the k+1-th feature, and the k-1-th feature, respectively. k |x i env ) represents the environmental signal data x i env In feature y k The relationship transfer feature under k |x i env ) represents the environmental signal data x i env Belongs to feature y k The probability of , based on the relationship transfer characteristics, calculates the random field factor U, and the calculation formula is as follows: Among them, μ k Represents feature y k Weight, n total Represents the total number of environmental signal data, k total Represents the total number of features. Based on the random field factor U, the relationship F between each environmental signal data and features is analyzed. The calculation formula is as follows: Among them, h(y k ) represents the state function, which issues early warning according to the changes in environmental signal data.

8. The ecological environment monitoring and supervision system according to claim 1 is characterized in that: The environmental control module proposes corresponding environmental protection processing methods based on the early warning results of the environmental data, performs corresponding control processing on the environment, and restores the corresponding environmental data.

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