CN114548842A - Method for realizing river growth comprehensive evaluation based on multi-source heterogeneous data space-time fusion - Google Patents
Method for realizing river growth comprehensive evaluation based on multi-source heterogeneous data space-time fusion Download PDFInfo
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Abstract
The invention discloses a method for realizing river length comprehensive evaluation based on multi-source heterogeneous data space-time fusion. It includes the following steps, S1: adopting an analytic hierarchy process to construct a river growth comprehensive evaluation index system; s2: setting an evaluation rule of an evaluation object; s3: calculating a water quality index score of an evaluation object according to water quality data in the river growth information management system; s4: calculating a patrol index score of an evaluation object according to patrol data in the river growth information management system; s5: and comprehensively calculating the total evaluation score of the river length according to the index scores. The method solves the problems that the river growth evaluation result is too subjective and single, lacks scientific evaluation standard and cannot be fed back dynamically in real time; the method has the advantages of objectively and scientifically constructing an index system, dynamically and real-timely integrating various space-time data to evaluate river growth work.
Description
Technical Field
The invention relates to the technical field of river growth comprehensive evaluation, in particular to a method for realizing river growth comprehensive evaluation based on multi-source heterogeneous data space-time fusion.
Background
In order to implement the concept of green development, ecological civilization construction is promoted, a central office and a state office are shared in 2016 (12) and the opinion about the comprehensive promotion of the river growth is implemented, and a scientific evaluation method is a long-acting real-time powerful pushing hand of the river growth;
at present, as the river growth is actively promoted all over the country, governments and competent departments at all levels also make corresponding river growth work methods. The working method is mainly developed around six tasks of river growth, and covers water resource protection, water area shoreline management protection, water pollution control, water environment treatment, water ecological restoration, law enforcement supervision and the like. However, the river growth work evaluation in various places has the following problems: (1) the evaluation indexes are too subjective, for example, in a river growth work evaluation table in Nanjing, the evaluation contents are basically subjective indexes, evaluation is not performed from river patrol completion and water quality standard reaching rate, the main evaluation is the implementation of a river growth system, and the river growth work effect cannot be evaluated. (2) For example, the evaluation index is too single, a more detailed evaluation rule is established for the water quality condition in the Qingpu district river growth evaluation, but the evaluation is only carried out by utilizing the annual water quality condition for the work evaluation of the river growth, the formed evaluation result is too single, and the dynamic change condition of the water quality in each time period in the year is not considered. Therefore, in the prior art, comprehensive evaluation is carried out by time-space fusion without fusing multi-source heterogeneous data, and the existing evaluation modes cannot comprehensively and dynamically feed back an evaluation result in real time;
therefore, it is necessary to develop a comprehensive evaluation method for river length, which integrates multi-source space-time data, has a comprehensive evaluation mode, and can dynamically feed back an evaluation result in real time.
Disclosure of Invention
The invention aims to provide a method for realizing comprehensive evaluation of river growth system based on multi-source heterogeneous data space-time fusion, which has the characteristics of objectively and scientifically constructing an index system and dynamically evaluating river growth system work in real time; the method solves the problems that the river growth system evaluation result is too subjective and single, lacks scientific evaluation standard and cannot be fed back dynamically in real time.
In order to achieve the purpose, the technical scheme of the invention is as follows: a method for realizing river length comprehensive evaluation based on multi-source heterogeneous data space-time fusion is characterized by comprising the following steps: comprises the following steps of (a) carrying out,
s1: adopting an analytic hierarchy process to construct a river growth comprehensive evaluation index system;
s2: setting an evaluation rule of an evaluation object; calculating each index score in steps S3, S4, S5 by the rule of step S2;
s3: calculating a water quality index score of an evaluation object according to water quality data in the river growth information management system;
s4: calculating a patrol index score of an evaluation object according to patrol data in the river growth information management system;
s5: and comprehensively calculating the total evaluation score of the river length according to the index scores.
In the above technical solution, in S1, the evaluation indexes include a river length patrol task completion level, a "river-by-river" key task completion level, a special action problem adjustment and modification level, a total water consumption control level, a river-related construction project disorder adjustment and modification level, a river delimitation completion level, a shoreline planning completion level, a pollution source control level, a water quality standard reaching rate, and the like. The specific evaluation index can also dynamically change according to the actual condition requirements of river growers in various regions.
In the above technical solution, in step S2, the evaluation rule includes an evaluation range and an evaluation period;
the evaluation range comprises evaluation on river length of each level and evaluation on river length making member units;
the evaluation period is set according to a specific evaluation rule, and the evaluation period comprises month, quarter, half year and is used for obtaining the scores of the water quality, the river patrol and other indexes of the evaluation object.
In the above technical solution, in step S3, a water quality evaluation category is calculated according to river section water quality monitoring data in a river length information management system, the section water quality evaluation category is compared with a target water quality, a section water quality exceeding proportion is calculated, and water quality evaluation is performed on a river according to the section water quality exceeding proportion;
in step S3, the water quality data is derived from two components: one part is water quality monitoring data of manually monitoring the water quality cross section every month; and the other part is that a water quality monitoring station is built, and an automatic water quality monitoring instrument is arranged, and the monitoring is carried out once every four hours. The water quality monitoring items comprise parameters such as temperature, pH, dissolved oxygen, conductivity, turbidity, permanganate index, total phosphorus, total nitrogen and ammonia nitrogen.
In the above technical solution, in step S4, the river patrol indicator refers to the completion of actual patrol of a river in the river growth information management system, and a river patrol indicator score Y is obtained by calculating the actual number of times of river patrol and the planned number of times of river patrol in a river patrol period, where Y is less than or equal to 100 points;
if it is not
Then Y = 100;
in formula (1):prepresenting the actual number of times of the river patrol in the river patrol period,qrepresenting the planned river patrol times in the river patrol period;
in step S4, the river patrol data is from the river master information management system, and is data of river patrol records, river patrol tracks, river patrol problem reporting, river patrol event processing, and the like, which are generated when the river master patrols the river through the river master system APP or PC.
In the above technical solution, in step S5, after each index of the river length system comprehensive evaluation is calculated and evaluated, a total river length system comprehensive evaluation score Z is calculated comprehensively according to each evaluation index score and a weight of the river length system;
in formula (2):c 1 indicates the first evaluation index C1Score of (a);c 2 shows a second evaluation index C2Score of (a);c n express the nth scorePrice index CnScore of (a);b 1 a weight indicating a first evaluation index;b 2 a weight indicating a second evaluation index;b n a weight representing the nth evaluation index n; wherein, b1、b2、bn The weight of each evaluation index calculated by an analytic hierarchy process in the step 1;
the water quality index score and the cruise index score are calculated in the steps S3 and S4, the weight of other evaluation indexes is determined according to the river length comprehensive evaluation index system constructed by the analytic hierarchy process in the step S1, the scores of other indexes are calculated according to the data in the river length information management system, for example,
'one river one strategy' key task completion degree C2= one river one strategy key task completion number/"one river one strategy" key task total number;
correction degree of special action problem C3= number of special action problem amendments/total number of special action problems;
controlling degree C of total amount of water4= total amount of water taken/permissible total amount of water taken;
four-disorder problem rectification degree C of wading river construction project5= number of river-related construction project disorder/total number of river-related construction project disorder;
degree of completion of river delimitation C6= length of completed river delimitation/length of completed river delimitation;
completion degree of shoreline planning C7= length of completed shoreline planning/length of completed shoreline planning;
degree of control of pollution source C8= number of controlled sources/total number of sources.
The invention has the following advantages:
(1) the evaluation result is accurate; the water quality data of the invention is derived from the monitoring data of a manual or automatic water quality monitoring station and is checked before the data is released; the river patrol data are derived from data recorded by actual river patrol of the river chang in the river chang information management system, the data are real and effective, and the accuracy of the evaluation result of the application is ensured; other evaluation index data are also from data of operation and maintenance in the river growth information management system;
(2) the evaluation result is comprehensive; the invention comprehensively considers six tasks of river growth system, and establishes a comprehensive evaluation index system of river growth system by adopting an analytic hierarchy process, the invention carries out comprehensive evaluation on the river growth system work by combining the aspects of river patrol data, daily work tasks of river growth system, water resource protection, water area bank line management protection, water pollution control, water environment treatment and the like, 9 indexes in the index system can be obtained by calculating through quantitative values, and the evaluation result is comprehensive; the method overcomes the defects that the existing river growth system is more evaluated only aiming at the aspect of water quality, the evaluation index is too single, and the evaluation result cannot be comprehensively fed back;
(3) the water quality data and the river patrol data adopted by the invention are dynamically updated in real time, the water quality data comprises monitoring data of a manual or automatic monitoring station, the automatic monitoring station is updated every 4 hours, the manual monitoring station is updated every month, and the data is updated to a river growth information management system; river patrol data also come from real-time river patrol records of river heights at all levels in the river length system information management system, the shortest evaluation period is evaluated according to the monthly degrees, and the evaluation result can be dynamically reflected in real time; the defects that in the prior art, only annual water quality conditions are utilized for evaluation aiming at river growth work, the formed evaluation result is too single, the dynamic change condition of water quality at each time period in the year is not considered, and the evaluation result cannot be fed back dynamically in real time are overcome;
the method objectively and scientifically constructs an index system and dynamically evaluates the river growth work in real time; the method solves the problems that the river growth system evaluation result is too subjective and single, lacks scientific evaluation standard and cannot be fed back dynamically in real time.
Drawings
FIG. 1 is a flow chart of a method for realizing river growth comprehensive evaluation based on multi-source heterogeneous data space-time fusion according to the invention;
fig. 2 is an architecture diagram of a river growth information management system according to the present invention.
Detailed Description
The embodiments of the present invention will be described in detail with reference to the drawings, but the present invention is not limited to these embodiments. While the advantages of the invention will be clear and readily understood by the description.
The invention relates to a method for realizing river length comprehensive evaluation based on multi-source heterogeneous data space-time fusion, which adopts an analytic hierarchy process to construct evaluation indexes and utilizes various space-time data in a river length information management system to realize river length comprehensive evaluation; the defect of the existing river growth system evaluation mode (namely the existing river growth system evaluation mode cannot feed back the evaluation result comprehensively, dynamically and in real time) is overcome. The multi-source heterogeneous data space-time fusion system integrates various different time and space data such as water quality, a patrolling river, a river plan, a special action, water taking, a river-related construction project, river delimitation, shoreline planning, water pollution and the like to perform data fusion, an index system is constructed by utilizing the data to perform comprehensive evaluation on the river length, and the evaluation result is accurate and comprehensive;
as shown in fig. 2, the river growth information management system of the present invention is divided into 6 layers in terms of technical architecture: the system comprises an intelligent sensing layer, an infrastructure layer, a big data center layer, a supporting platform layer, a business application layer and a user interaction layer;
the intelligent perception layer is mainly front-end perception equipment related to river growth, namely an aerospace-ground integrated front-end perception system; the river growth information management system adopts the modes of Internet, 4G/5G wireless transmission and the like to transmit front-end sensing data; the intelligent sensing layer comprises a satellite remote sensing monitoring system, an unmanned aerial vehicle monitoring system, an automatic water quality detection station, a pollution tracing monitoring station and a video monitoring system;
the infrastructure layer mainly provides a physical environment foundation for the operation of the information management system for river growth, and in addition, the dynamic expansion of system resources can be realized by adopting a cloud technology to build a system deployment environment. The infrastructure layer comprises computing resources, storage resources, network resources and security facilities;
the big data center layer is responsible for classifying, collecting, cleaning, storing and sharing data, and the data is classified and managed through a data resource directory; the big data center layer comprises river growth foundation and service data, foundation and monitoring data of water resources, water area shorelines, water pollution, water environment, water ecology and the like;
the support platform layer is responsible for basic platform-level and service-level support of the whole river growth information management system application, and comprises a basic support platform and an enabling platform. The basic supporting platform provides basic services such as data, authority, reports and the like, and the enabling platform provides services such as a one-dimensional hydrodynamic water quality pollution diffusion model, video AI analysis, public opinion monitoring and the like by combining with services;
the business application layer is used for realizing the functions of the river growth business application and is divided into the following 3 application parts: a. the basic application part comprises functional modules such as a workbench, river patrol management, task handling, special actions, work reporting, assessment management, spot check supervision, river files and the like. b. The intelligent supervision and management system for the estuary is applied to services such as water resources, water area shorelines, water pollution, water environment and water ecology, and realizes supervision and management of the water resources, the water area shorelines, the water pollution, the water environment and the water ecology by fully utilizing big data analysis based on water quality monitoring, water surface abnormity and water quality full-characteristic traceability analysis based on AI video image recognition, remote sensing water area shoreline analysis and other technologies. c. The comprehensive display application mainly comprises large-screen comprehensive display of LEDs with special business topics and a picture;
the user interaction layer reasonably and intuitively expresses the application function of the river growth information management system to the user through various terminals and display forms, and comprises five terminals: the system comprises a large screen end, a PC end, a mobile end, a flat plate end and a WeChat end, wherein the functions of the five ends are mutually connected, data are mutually communicated, and a user can timely and effectively acquire river growth information through different application terminals in different application scenes to carry out online work at any time.
Examples
The method is applied to a river growth comprehensive evaluation project to explain the method in detail, and the method also has a guiding function on the application of the method to other river growth comprehensive evaluation.
In order to promote the formation and operation of a long-acting mechanism of the river growth system, a certain city complies with the principles of scientificity, comprehensiveness and operability, and surrounds the target requirement of the implementation of the river growth system, a river growth system comprehensive evaluation index system is established from the aspects of daily work and law enforcement supervision of the river growth system, water resource protection, water area shoreline management protection, water pollution prevention, water environment management and the like, each index score is calculated by fusing multi-source time-space data in an operating river growth system information management system, and finally, the total score of the river growth system comprehensive evaluation is calculated. The evaluation method in the prior art is adopted, general indexes are single, and water quality data are usually adopted to evaluate river growth work. For example, the Qingpu district river growth evaluation establishes a more detailed evaluation rule for the water quality condition, but the work evaluation for river growth only utilizes the annual water quality condition for evaluation, and the formed evaluation result is too single and does not consider the dynamic change condition of water quality in each time period in the year.
In the embodiment, terminal tools such as a PC end, a mobile end, a flat end, a wechat end, a large screen end and the like of a river growth information management system are utilized to collect various different time and space data such as accumulated water quality, river patrol, a river plan, special actions, water taking, river-related construction projects, river delimitation, shoreline planning, water pollution and the like, to perform comprehensive evaluation of the river growth system, to assist in analyzing the current situation and the difference degree of the river growth system implementation result, to promote the strengthening of short boards in the working process of the river growth system, and to promote the formation and development of a long-term mechanism of the river growth system;
in this embodiment, the method for implementing the comprehensive evaluation of river length based on the multi-source heterogeneous data space-time fusion, as shown in fig. 1, specifically includes the following steps:
(1) construction of river growth comprehensive evaluation index
And constructing a river growth comprehensive evaluation index system by using an analytic hierarchy process, wherein the river growth comprehensive evaluation index system comprises a target layer, a standard layer and an index layer. The constructed river growth comprehensive evaluation index system is shown in the following table 1:
TABLE 1 comprehensive evaluation index system for river growth
The evaluation indexes used in the embodiment include the nine items, and other evaluation indexes can be selected according to actual conditions;
after the evaluation indexes are determined, constructing a discrimination matrix, carrying out pairwise comparison on the evaluation indexes, and assigning values to comparison results by adopting a 9-bit scale method to obtain results of pairwise importance comparison of the evaluation indexes;a ij is an index CiAnd CjThe importance comparison result of (1);
the discrimination matrix of the river growth comprehensive evaluation result A is as follows:
calculating the maximum characteristic value and the weight vector of the discrimination matrix by adopting a sum method to obtain the weight of each evaluation index, wherein the specific method comprises the following steps: firstly, performing column normalization on the matrix A, then performing row summation, and then performing row normalization to obtain a characteristic vector w:
calculating a characteristic value lambda:
finally, checking the consistency of the matrix:
when n =9, RI = 0.58;
when in use
Then, the consistency of A is acceptable; when in use
At this time, the consistency of A is not acceptable. The invention prevents the mutual contradiction of the weights among all indexes by judging whether the consistency of the A can be accepted;
the feature vector calculation structure is an evaluation index weight, and the evaluation index weight w calculated by the method in this embodiment is:
(2) setting evaluation rules
And (4) making an evaluation range and an evaluation period according to the actual working situation of river growth in each region. The evaluation range includes evaluation of river length at each level and evaluation of river length making member units. Setting an evaluation period according to a specific evaluation rule, wherein the evaluation period comprises month, quarter, half year and year; the evaluation object of the embodiment specifically selects the evaluation of river lengths at all levels, each river length can be associated with one or more river reach, and each river reach is associated with the cross-section water quality monitoring data and the river patrol data, so that the evaluation of the working effect of the river lengths at all levels can be realized. The evaluation period is set to be monthly as the water quality automatic monitoring data are generally updated every four hours, the water quality manual monitoring data are generally updated every month and the river patrol data are counted according to the month, and in addition, the evaluation data of the quarter, the half year and the year can be obtained according to the monthly data; the objective scientific construction of an index system and the dynamic real-time evaluation of the river growth work are realized;
(3) calculating the evaluation index score of the water quality standard-reaching rate
Calculating the water quality evaluation category by using river section water quality monitoring data according to the GB 3838-:
wherein m represents the number of water quality monitoring sections of the over-standard river, and n represents the total number of the water quality monitoring sections of the river;
the water quality of the river is evaluated according to the exceeding proportion of the section water quality, and the following table 2 shows that:
TABLE 2 Water quality evaluation Table
In the embodiment, a certain river is selected for monthly evaluation, the number m of the water quality monitoring sections of the river exceeding the standard is equal to 2, the total number n of the water quality section monitoring sections is equal to 17, and the section water quality exceeding ratio X =2/17=11.76% is obtained through calculation, so that the index score is equal to 70;
(4) calculating the score of river patrol index
The river patrol index refers to the actual patrol completion degree of the river, and the river length river patrol task completion index score Y is calculated through the actual river patrol times and the planned river patrol times in the river patrol period, wherein the Y is not more than 100 points at most;
if it is not
Then Y = 100; (1)
in the formula (1), the reaction mixture is,prepresenting the actual number of times of the river patrol in the river patrol period,qrepresenting the planned river patrol times in the river patrol period;
in this embodiment, the actual number p of times of river patrol at the month of a certain river is equal to 35, the planned number q of times of river patrol is equal to 40, and then the completion degree of river patrol task at the river length is equal to 87.5;
index scores such as the completion degree of key tasks and the rectification degree of special action problems of 'one river one strategy' can also be calculated by adopting the method. In this embodiment, the other index calculation scores are respectively: the 'one river one strategy' key task completion degree is equal to 100, the adjustment degree of special action problems is equal to 98, the total water consumption control degree is equal to 98.2, the adjustment degree of four disorder problems of a river-related construction project is equal to 77, the river demarcation completion degree is equal to 85, the shoreline planning completion degree is equal to 32, and the pollution source control degree is equal to 91;
(5) comprehensively calculating the total score of the river growth comprehensive evaluation
After each index of the river length comprehensive evaluation is calculated and evaluated, calculating a total river length comprehensive evaluation score Z according to the index score and the weight of the river length comprehensive evaluation;
in the formula (2), the reaction mixture is,c i - -evaluation index CiThe score of (a) is obtained,b i - -evaluation index CiThe weight of (c);
in this embodiment, the index weight and each index score are shown in table 3 below;
TABLE 3 index weights and index scores table
Calculating a river length comprehensive evaluation total score Z = 81.414;
in this example, the evaluation results of two rivers were selected for comparison, and the comparison results are shown in table 4 below:
TABLE 4 comparative results table
From the comparative data of the river A and the river B, under the condition that other indexes are not different, the river patrol task completion degree and the water quality achievement rate score have a large correlation, the water quality achievement rate score of the river patrol task completion degree of the river with high river patrol task completion degree is correspondingly high, the corresponding comprehensive evaluation total score is correspondingly improved, and the situation that the water quality of the river with good river patrol task completion is relatively good is shown, and river growth workers of the river can well perform river growth work, so that the good river and lake health management effect is achieved. Therefore, the method plays an effective supervision role in the river patrol completion degree.
Other parts not described belong to the prior art.
Claims (4)
1. A method for realizing river length comprehensive evaluation based on multi-source heterogeneous data space-time fusion is characterized by comprising the following steps: comprises the following steps of (a) preparing a solution,
s1: adopting an analytic hierarchy process to construct a river growth comprehensive evaluation index system;
the river growth system comprehensive evaluation index system comprises a target layer, a standard layer and an index layer; the criterion layer comprises daily work and law enforcement supervision of the river growth system, water resource protection, water area shoreline management protection, water pollution control and water environment treatment;
the index layer corresponding to the daily work of the river chang and the law enforcement supervision comprises the completion degree of river patrol tasks of the river chang, the completion degree of key tasks of 'one river and one strategy' and the rectification degree of special action problems;
the index layer corresponding to the water resource protection comprises the total water consumption control degree;
the index layer corresponding to the water area shoreline management protection comprises the rectification degree of the four disorder problems of the river-related construction project, the riverway demarcation completion degree and the shoreline planning completion degree;
the index layer corresponding to the water pollution prevention comprises a pollution source control degree;
the index layer corresponding to the water environment treatment comprises paper standard reaching rate;
s2: setting an evaluation rule of an evaluation object;
in step S2, the evaluation rule includes an evaluation range and an evaluation period;
the evaluation range comprises evaluation on river length of each level and evaluation on river length making member units;
setting an evaluation period according to a specific evaluation rule, wherein the evaluation period comprises month, quarter, half year and year;
s3: calculating a water quality index score of an evaluation object according to water quality data in the river growth information management system;
s4: calculating a patrol index score of an evaluation object according to patrol data in the river growth information management system;
s5: and comprehensively calculating the total evaluation score of the river length according to the index scores.
2. The method for realizing river length comprehensive evaluation based on multi-source heterogeneous data space-time fusion according to claim 1, characterized by comprising the following steps: in step S3, a water quality evaluation category is calculated from river cross-section water quality monitoring data in the river length information management system, the cross-section water quality evaluation category is compared with a target water quality, a cross-section water quality exceeding ratio is calculated, and water quality evaluation is performed on the river according to the cross-section water quality exceeding ratio.
3. The method for realizing river length comprehensive evaluation based on multi-source heterogeneous data space-time fusion according to claim 2, characterized by comprising the following steps: in step S4, the patrol indicator indicates the completion degree of actual patrol of the river in the river growth information management system, and a patrol indicator score Y is obtained by calculating the actual number of times of patrol and the planned number of times of patrol in the patrol period, wherein Y is less than or equal to 100 points;
if it is not
Then Y = 100;
in the formula (1), the reaction mixture is,prepresenting the actual number of times of the river patrol in the river patrol period,qand representing the planned river patrol times in the river patrol period.
4. The method for realizing river length comprehensive evaluation based on multi-source heterogeneous data space-time fusion according to claim 3, characterized by comprising the following steps: in step S5, after each index of the river length comprehensive evaluation is calculated and evaluated, a total river length comprehensive evaluation score Z is calculated comprehensively according to the scores of the river length comprehensive evaluation indexes and the weight;
in the formula (2), the reaction mixture is,c 1 a score representing a first evaluation index;c 2 a score representing the second evaluation index;c n a score representing the nth evaluation index;b 1 a weight indicating a first evaluation index;b 2 a weight indicating a second evaluation index;b n and a weight representing the nth evaluation index.
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