CN114090621A - Ground-air integrated ecological environment monitoring system - Google Patents

Ground-air integrated ecological environment monitoring system Download PDF

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CN114090621A
CN114090621A CN202111386203.5A CN202111386203A CN114090621A CN 114090621 A CN114090621 A CN 114090621A CN 202111386203 A CN202111386203 A CN 202111386203A CN 114090621 A CN114090621 A CN 114090621A
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monitoring
monitoring point
environmental data
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章樑
张潇小
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Anhui China Science And Technology Competition Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29—Geographical information databases
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
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    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention relates to ecological environment monitoring, in particular to a ground-air integrated ecological environment monitoring system, which comprises a server, a monitoring point deployment module and an environmental data acquisition module, wherein the monitoring point deployment module is combined with a heuristic search algorithm and an irregular grid optimization method to carry out optimization design on monitoring points, the environmental data acquisition module is deployed at corresponding monitoring points and sends acquired environmental data to the server, the server carries out data processing on historical environmental data stored in an environmental data storage module through an environmental data processing module to obtain an abnormal environmental data table, the server carries out data analysis on the acquired environmental data based on the abnormal environmental data table through an environmental data analysis module and sends an environmental monitoring result to a manager through a monitoring result sending module; the technical scheme provided by the invention can effectively overcome the defect that the monitoring point position cannot be reasonably set in the prior art.

Description

Ground-air integrated ecological environment monitoring system
Technical Field
The invention relates to ecological environment monitoring, in particular to a ground-air integrated ecological environment monitoring system.
Background
Because the industrialization, the modernization and the urbanization of China are late, the consumption of ecological environment and resource energy is relatively large in the past, in order to realize 'late-onset overtaking', hands and feet are released for great development and development, and sufficient attention to resource saving and environmental cost is lacked. However, through rapid development for many years, the economy of China already has a considerable total amount of scale, the pressure bearing capacity of the ecological resource environment of some places also reaches or approaches the upper limit, and a high-speed and extensive development mode cannot be maintained, so that the requirement that the ecological environment capacity must be fully considered, a sustainable development road is taken, and the generation fairness of contemporary people and later generations is realized.
In the process of sustainable development, illegal actions that destroy the environment occur sometimes due to the driving of economic benefits. Therefore, how to dynamically grasp the state of the ecological environment in real time and discover illegal behaviors damaging the ecological environment in time so as to process the behaviors in time and reduce or even avoid further damage to the ecological environment becomes a problem to be solved urgently at present. When carrying out ecological environment monitoring to inland city, need utilize the monitoring mode of "ground-air integration" to guarantee the smooth implementation of ecological environment monitoring, under this monitoring mode, the rationality direct relation that the monitoring point location set up to the accurate degree of monitoring result.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects in the prior art, the invention provides a ground-air integrated ecological environment monitoring system which can effectively overcome the defect that monitoring point positions cannot be reasonably set in the prior art.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme:
a ground-air integrated ecological environment monitoring system comprises a server, a monitoring point location deployment module and an environmental data acquisition module, wherein the monitoring point location deployment module is combined with a heuristic search algorithm and an irregular grid optimization method to carry out optimization design on monitoring point locations, and the environmental data acquisition module is deployed at corresponding monitoring point locations and sends acquired environmental data to the server;
the server performs data processing on historical environmental data stored in the environmental data storage module through the environmental data processing module to obtain an abnormal environmental data table, performs data analysis on the acquired environmental data based on the abnormal environmental data table through the environmental data analysis module, and sends an environmental monitoring result to a manager through the monitoring result sending module.
Preferably, the monitoring point location deployment module performs deployment design on the monitoring point locations through a heuristic search algorithm and an irregular grid optimization method respectively, and performs optimized clustering on deployment design results by using a clustering algorithm.
Preferably, the deployment module of monitoring point locations deploys the monitoring point locations by a heuristic search algorithm, and includes:
s11, acquiring point cloud coordinates with a certain proportion according to actual geographic information to perform terrain modeling;
s12, setting monitoring point positions and communication radius related parameters according to performance parameters and acquisition requirements of actually used environmental data acquisition equipment;
and S13, calculating the communication link set and the monitoring point deployment number among the monitoring points according to the known data, and searching for a global optimal solution by using a heuristic search algorithm based on the monitoring point deployment number.
Preferably, in S13, searching for a global optimal solution by using a heuristic search algorithm based on the deployment number of monitoring points, including:
and from the lower limit of the deployment quantity of the monitoring point positions to the upper limit, sequentially calculating the optimal solutions corresponding to the deployment quantity of the current monitoring point positions by repeatedly using a heuristic search algorithm, and searching for the global optimal solution from all the optimal solutions according to an evaluation function.
Preferably, the evaluation function is an evaluation function consisting of a coverage rate, data transmission efficiency and construction cost corresponding to the deployment number of the current monitoring point, where the coverage rate C may be represented by the following formula:
Figure BDA0003367189770000031
Figure BDA0003367189770000032
Figure BDA0003367189770000033
wherein (x)o,yo,zo)、(xi,yi,zi) The coordinate positions of two adjacent monitoring point positions are shown, R is a covering distance threshold, N is the number of covering monitoring point positions, and N' is the total number of monitoring point positions.
Preferably, the monitoring points are deployed with base station devices, each base station device serves as an ad hoc network node, and when a communication link between two monitoring points in the network is interrupted due to a fault, the network automatically switches the two monitoring points to the current shortest communication link.
Preferably, the deployment module of monitoring point locations deploys and designs the monitoring point locations by an irregular grid optimization method, including:
s21, constructing an ecological environment model on the basis of population layout, a meteorological database and city planning, and dividing a target area into a plurality of irregular grids;
s22, establishing a monitoring network optimization point distribution model by taking population constraint, cost constraint, terrain constraint and space constraint as constraint conditions, and obtaining a primary optimization result of each monitoring point according to the monitoring network optimization point distribution model;
and S23, on the basis of the primary optimization result, performing statistical analysis on each monitoring point location, and classifying similar monitoring point locations to obtain a global optimal solution.
Preferably, the dividing of the target area into a plurality of irregular grids in S21 includes:
through spatial superposition analysis of multilayer geographic information, ecological risks, psychological factor perception, economic statistics and administrative region management factors are integrated, and a target area is divided into a plurality of irregular grids.
Preferably, the performing optimized clustering on the deployment design result by using a clustering algorithm includes:
s31, randomly extracting k monitoring point positions from a global optimal solution obtained by a heuristic search algorithm and an irregular grid optimal method, and respectively using the k monitoring point positions as k clustering centers;
s32, calculating the similarity of the rest monitoring points to each cluster center, and classifying the monitoring points to the cluster with the highest similarity;
s33, recalculating each clustering center, and performing clustering operation again;
and S34, repeating S32 and S33 until the dissimilarity between the clustering result of the current round and the clustering result of the previous round is smaller than a set threshold value, and obtaining the optimal layout of the monitoring point positions.
Preferably, the monitoring system further comprises a monitoring result visualization display module, wherein the environmental data processing module analyzes and counts historical environmental data in the environmental data storage module, screens out abnormal environmental data, and establishes an abnormal environmental data table about value ranges of various abnormal environmental data;
the environment data analysis module analyzes the acquired environment data item by item based on the abnormal environment data table, judges whether the acquired environment data has abnormal environment data or not, and the server displays the monitoring results corresponding to the monitoring point positions in a visual mode through the monitoring result visual display module.
(III) advantageous effects
Compared with the prior art, the ground-air integrated ecological environment monitoring system provided by the invention has the following beneficial effects:
1) the monitoring point location deployment module is used for deploying and designing monitoring point locations by respectively adopting a heuristic search algorithm and an irregular grid optimization method, and optimizing and clustering deployment and design results by utilizing a clustering algorithm, so that the reasonable setting of the monitoring point locations is realized, the accuracy degree of the monitoring results is ensured, the monitoring point locations can cover a sufficient monitoring range, and meanwhile, the waste of monitoring resources can be avoided;
2) the environmental data analysis module analyzes the acquired environmental data item by item based on the abnormal environmental data table, judges whether the abnormal environmental data exists in the acquired environmental data, realizes accurate analysis of the environmental data, and can also ensure the accuracy of monitoring results.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic view of a process of deployment design of monitoring point locations by a heuristic search algorithm in the present invention;
fig. 3 is a schematic flow chart of deployment design of monitoring point locations by an irregular grid optimization method in the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A ground-air integrated ecological environment monitoring system is shown in figure 1 and comprises a server, a monitoring point location deployment module and an environmental data acquisition module, wherein the monitoring point location deployment module is combined with a heuristic search algorithm and an irregular grid optimization method to carry out optimization design on monitoring points.
The monitoring point location deployment module is used for respectively carrying out deployment design on the monitoring point locations through a heuristic search algorithm and an irregular grid optimization method, and optimizing and clustering deployment design results by utilizing a clustering algorithm.
Firstly, as shown in fig. 2, the deployment module of monitoring point locations deploys the monitoring point locations by a heuristic search algorithm, and the deployment module of monitoring point locations includes:
s11, acquiring point cloud coordinates with a certain proportion according to actual geographic information to perform terrain modeling;
s12, setting monitoring point positions and communication radius related parameters according to performance parameters and acquisition requirements of actually used environmental data acquisition equipment;
and S13, calculating the communication link set among the monitoring points and the deployment number of the monitoring points according to the known data, and searching for the global optimal solution by using a heuristic search algorithm based on the deployment number of the monitoring points.
Based on the deployment quantity of the monitoring point locations, searching and finding a global optimal solution by using a heuristic search algorithm, wherein the method comprises the following steps:
and from the lower limit of the deployment quantity of the monitoring point positions to the upper limit, sequentially calculating the optimal solutions corresponding to the deployment quantity of the current monitoring point positions by repeatedly using a heuristic search algorithm, and searching for the global optimal solution from all the optimal solutions according to an evaluation function.
In the technical scheme of the application, the evaluation function is an evaluation function consisting of coverage rate, data transmission efficiency and construction cost corresponding to the deployment quantity of the current monitoring point, wherein the coverage rate C can be represented by the following formula:
Figure BDA0003367189770000061
Figure BDA0003367189770000062
Figure BDA0003367189770000063
wherein (x)o,yo,zo)、(xi,yi,zi) The coordinate positions of two adjacent monitoring point positions are shown, R is a covering distance threshold, N is the number of covering monitoring point positions, and N' is the total number of monitoring point positions.
The monitoring points are deployed with base station equipment (which can be remote wireless communication equipment with mesh ad hoc network technology), each base station equipment is used as an ad hoc network node, and when a communication link between two monitoring points in the network is interrupted due to failure, the network automatically switches the two monitoring points to the current shortest communication link.
And (3) heuristic search algorithm: each search position is evaluated in the state space to obtain the best position, and then the position is searched until the global optimal target is found. According to the technical scheme, the deployment quantity of the monitoring point positions is unknown, so that the fluctuation range of the monitoring point positions can be set according to actual acquisition requirements in a certain proportion for relevant calculation, and automatic solving of an algorithm is achieved.
Secondly, as shown in fig. 3, the monitoring point location deployment module performs deployment design on the monitoring point location through an irregular grid optimization method, which includes:
s21, constructing an ecological environment model on the basis of population layout, a meteorological database and city planning, and dividing a target area into a plurality of irregular grids;
s22, establishing a monitoring network optimization point distribution model by taking population constraint, cost constraint, terrain constraint and space constraint as constraint conditions, and obtaining a primary optimization result of each monitoring point according to the monitoring network optimization point distribution model;
and S23, on the basis of the primary optimization result, performing statistical analysis on each monitoring point location, and classifying similar monitoring point locations to obtain a global optimal solution.
Wherein dividing the target area into a plurality of irregular grids comprises:
through spatial superposition analysis of multilayer geographic information, ecological risks, psychological factor perception, economic statistics and administrative region management factors are integrated, and a target area is divided into a plurality of irregular grids.
Thirdly, optimizing and clustering deployment design results by using a clustering algorithm, wherein the optimizing and clustering method comprises the following steps:
s31, randomly extracting k monitoring point positions from a global optimal solution obtained by a heuristic search algorithm and an irregular grid optimal method, and respectively using the k monitoring point positions as k clustering centers;
s32, calculating the similarity of the rest monitoring points to each cluster center, and classifying the monitoring points to the cluster with the highest similarity;
s33, recalculating each clustering center, and performing clustering operation again;
and S34, repeating S32 and S33 until the dissimilarity between the clustering result of the current round and the clustering result of the previous round is smaller than a set threshold value, and obtaining the optimal layout of the monitoring point positions.
According to the technical scheme, the monitoring point location deployment module is used for deploying and designing the monitoring point locations through a heuristic search algorithm and an irregular grid optimization method respectively, and optimizing clustering is carried out on deployment and design results through a clustering algorithm, so that reasonable setting of the monitoring point locations is realized, the accuracy of the monitoring results is ensured, the monitoring point locations can cover a sufficient monitoring range, and meanwhile waste of monitoring resources can be avoided.
The environmental data collection module is deployed at the corresponding monitoring point position and sends collected environmental data to the server, the server carries out data processing on historical environmental data stored in the environmental data storage module through the environmental data processing module to obtain an abnormal environmental data table, the server carries out data analysis on the collected environmental data through the environmental data analysis module based on the abnormal environmental data table, and sends an environmental monitoring result to a manager through the monitoring result sending module.
The environment data processing module analyzes and counts the historical environment data in the environment data storage module, screens out abnormal environment data and establishes an abnormal environment data table about value ranges of various abnormal environment data;
the environment data analysis module analyzes the acquired environment data item by item based on the abnormal environment data table, judges whether the acquired environment data has abnormal environment data or not, and the server displays the monitoring results corresponding to the monitoring point positions in a visual mode through the monitoring result visual display module.
According to the technical scheme, historical environmental data stored in the environmental data storage module are subjected to data processing through the environmental data processing module, an abnormal environmental data table is obtained, the environmental data analysis module analyzes acquired environmental data item by item based on the abnormal environmental data table, whether abnormal environmental data exist in the acquired environmental data or not is judged, accurate analysis of the environmental data is achieved, and the accuracy degree of monitoring results can be guaranteed.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. The utility model provides an ecological environment monitoring system of ground-air integration which characterized in that: the system comprises a server, a monitoring point location deployment module and an environmental data acquisition module, wherein the monitoring point location deployment module is combined with a heuristic search algorithm and an irregular grid optimization method to carry out optimization design on monitoring point locations, and the environmental data acquisition module is deployed at corresponding monitoring point locations and sends acquired environmental data to the server;
the server performs data processing on historical environmental data stored in the environmental data storage module through the environmental data processing module to obtain an abnormal environmental data table, performs data analysis on the acquired environmental data based on the abnormal environmental data table through the environmental data analysis module, and sends an environmental monitoring result to a manager through the monitoring result sending module.
2. The ground-air integrated ecological environment monitoring system according to claim 1, characterized in that: the monitoring point location deployment module is used for respectively carrying out deployment design on monitoring point locations through a heuristic search algorithm and an irregular grid optimization method, and carrying out optimized clustering on deployment design results by utilizing a clustering algorithm.
3. The ground-air integrated ecological environment monitoring system according to claim 2, characterized in that: the monitoring point location deployment module performs deployment design on the monitoring point location through a heuristic search algorithm, and the deployment design comprises the following steps:
s11, acquiring point cloud coordinates with a certain proportion according to actual geographic information to perform terrain modeling;
s12, setting monitoring point positions and communication radius related parameters according to performance parameters and acquisition requirements of actually used environmental data acquisition equipment;
and S13, calculating the communication link set among the monitoring points and the deployment number of the monitoring points according to the known data, and searching for the global optimal solution by using a heuristic search algorithm based on the deployment number of the monitoring points.
4. The ground-air integrated ecological environment monitoring system according to claim 3, characterized in that: in S13, based on the number of deployment of monitoring point locations, searching for a global optimal solution by using a heuristic search algorithm, including:
and from the lower limit of the deployment quantity of the monitoring point positions to the upper limit, sequentially calculating the optimal solutions corresponding to the deployment quantity of the current monitoring point positions by repeatedly using a heuristic search algorithm, and searching for the global optimal solution from all the optimal solutions according to an evaluation function.
5. The ground-air integrated ecological environment monitoring system according to claim 4, characterized in that: the evaluation function is composed of coverage rate, data transmission efficiency and construction cost corresponding to the deployment quantity of the current monitoring point locations, wherein the coverage rate C can be represented by the following formula:
Figure FDA0003367189760000021
Figure FDA0003367189760000022
Figure FDA0003367189760000023
wherein (x)o,yo,zo)、(xi,yi,zi) The coordinate positions of two adjacent monitoring point positions are shown, R is a covering distance threshold, N is the number of covering monitoring point positions, and N' is the total number of monitoring point positions.
6. The ground-air integrated ecological environment monitoring system according to claim 4, characterized in that: and when a communication link between two monitoring point locations in the network is interrupted due to a fault, the network automatically switches the two monitoring point locations to the current shortest communication link.
7. The ground-air integrated ecological environment monitoring system according to claim 2, characterized in that: the monitoring point location deployment module performs deployment design on the monitoring point location through an irregular grid optimization method, and the deployment design comprises the following steps:
s21, constructing an ecological environment model on the basis of population layout, a meteorological database and city planning, and dividing a target area into a plurality of irregular grids;
s22, establishing a monitoring network optimization point distribution model by taking population constraint, cost constraint, terrain constraint and space constraint as constraint conditions, and obtaining a primary optimization result of each monitoring point according to the monitoring network optimization point distribution model;
and S23, on the basis of the primary optimization result, performing statistical analysis on each monitoring point location, and classifying similar monitoring point locations to obtain a global optimal solution.
8. The ground-air integrated ecological environment monitoring system according to claim 7, characterized in that: in S21, dividing the target area into a plurality of irregular grids, including:
through spatial superposition analysis of multilayer geographic information, ecological risks, psychological factor perception, economic statistics and administrative region management factors are integrated, and a target area is divided into a plurality of irregular grids.
9. The ground-air integrated ecological environment monitoring system according to claim 2, characterized in that: the optimal clustering of the deployment design result by using the clustering algorithm comprises the following steps:
s31, randomly extracting k monitoring point positions from a global optimal solution obtained by a heuristic search algorithm and an irregular grid optimal method, and respectively using the k monitoring point positions as k clustering centers;
s32, calculating the similarity of the rest monitoring points to each cluster center, and classifying the monitoring points to the cluster with the highest similarity;
s33, recalculating each clustering center, and performing clustering operation again;
and S34, repeating the steps S32 and S33 until the dissimilarity between the clustering result of the current round and the clustering result of the previous round is smaller than a set threshold value, and obtaining the optimal layout of the monitoring points.
10. The ground-air integrated ecological environment monitoring system according to claim 1, characterized in that: the environment data processing module analyzes and counts historical environment data in the environment data storage module, screens out abnormal environment data and establishes an abnormal environment data table about value ranges of various abnormal environment data;
the environment data analysis module analyzes the acquired environment data item by item based on the abnormal environment data table, judges whether the acquired environment data has abnormal environment data or not, and the server displays the monitoring results corresponding to the monitoring point positions in a visual mode through the monitoring result visual display module.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117091648A (en) * 2023-07-27 2023-11-21 石家庄铁道大学 Air-ground integrated construction ecological environment monitoring device and visual processing method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117091648A (en) * 2023-07-27 2023-11-21 石家庄铁道大学 Air-ground integrated construction ecological environment monitoring device and visual processing method

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