CN115471115B - Electronic river length control system for unified combined treatment of global water body - Google Patents

Electronic river length control system for unified combined treatment of global water body Download PDF

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CN115471115B
CN115471115B CN202211216978.2A CN202211216978A CN115471115B CN 115471115 B CN115471115 B CN 115471115B CN 202211216978 A CN202211216978 A CN 202211216978A CN 115471115 B CN115471115 B CN 115471115B
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陈泓宇
陈金高
冯泽阳
张培琳
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Zhejiang Jiayuan Intelligent Technology Co ltd
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Abstract

The invention discloses an electronic river length control system for unified co-treatment of a global water body, which relates to the field of data processing, and comprises the following steps: the method comprises the steps of distributing a plurality of different types of electronic river length terminals in a plurality of subareas in a target water area to obtain multidimensional water body information of the subareas, constructing a water body information blockchain at the plurality of electronic river length terminals, analyzing the accuracy of water body information detection by the plurality of electronic river length terminals to obtain a plurality of accuracy parameters, adjusting the obtained plurality of predicted water body information to obtain a plurality of correction predicted water body information, and accordingly formulating a water body treatment scheme in the plurality of subareas to treat the water body. The invention solves the technical problems of incapability of reliably collecting multi-main-body combined traceable data of a whole water area, low treatment accuracy and low efficiency in the prior art, and achieves the technical effects of realizing unattended monitoring of a whole water body, reducing human consumption and improving the circulation efficiency and safety of data across departments and river basins.

Description

Electronic river length control system for unified combined treatment of global water body
Technical Field
The invention relates to the field of data processing, in particular to an electronic river length control system for unified co-treatment of a global water body.
Background
Along with the rapid development of economy and society, river management has presented some new problems, and water environment protection is not in place, has brought new potential safety hazard to guaranteeing water quality safety. In order to solve the water management problem, the method is very significant for promoting river growth and protecting river and lake systems in the propulsion area.
At present, a four-level river-lake management protection mechanism of the system is constructed by establishing a four-level river-lake system in province, city, county and county, and the pollutant source treatment is enhanced by controlling the left and right banks through upstream and downstream linkage, a daily supervision and inspection system is established on the shoreline of the important river-lake and water area, and early discovery and early treatment are carried out on illegal behaviors of the river-lake.
However, because the upstream and downstream information cannot form regional synchronization, information acquisition standards in various places are different, and intermediate handover flows are too many, so that the information cannot be transmitted in time and the accuracy of data cannot be ensured in the transmission process. Meanwhile, because manpower is limited, comprehensive supervision cannot be performed on the water areas in the area, and an orderly supervision mechanism cannot be established for water body management. The method has the technical problems that multi-main-body combined traceable data of the whole water area cannot be reliably collected, and the treatment accuracy and efficiency are low.
Disclosure of Invention
The invention aims to provide an electronic river length control system for unified combined treatment of a global water body, which is used for solving the technical problems of low treatment accuracy and low efficiency in the prior art that multi-main-body combined traceable data of a whole water area cannot be reliably collected.
In view of the problems, the invention provides an electronic river length control system for unified co-treatment of a global water body.
In a first aspect, the invention provides an electronic river length control method for unified co-treatment of a global water body, which comprises the following steps: arranging a plurality of different types of electronic river length terminals in a plurality of subareas in a current target water area, wherein the target water area is a water area needing global water body unified co-treatment; acquiring multidimensional water body information of a plurality of subareas in the target water area based on a plurality of electronic river length terminals to acquire a plurality of water body information; constructing blockchain nodes at the plurality of electronic river length terminals, uploading a plurality of water body information through the plurality of blockchain nodes, and constructing and obtaining a water body information blockchain; analyzing the accuracy of the plurality of electronic river length terminals for water body information detection to obtain a plurality of accuracy parameters; according to the water body information block chain, analyzing and predicting the water body information in a plurality of subareas to obtain a plurality of predicted water body information; according to the accuracy parameters, adjusting the predicted water body information to obtain corrected predicted water body information; and according to the correction and prediction water body information, formulating water body treatment schemes in the subareas to treat the water body.
In a second aspect, the present invention further provides an electronic river length control system for universal water body unified co-treatment, where the electronic river length control system includes: the electronic river length distribution module is used for distributing a plurality of different types of electronic river length terminals in a plurality of subareas in the current target water area, wherein the target water area is a water area needing global water body unified co-treatment; the water body information acquisition module is used for acquiring multidimensional water body information of a plurality of subareas in the target water body based on a plurality of electronic river length terminals to acquire a plurality of water body information; the block chain construction module is used for constructing block chain nodes at a plurality of electronic river length terminals, uploading a plurality of water body information through a plurality of block chain link points and constructing and obtaining a water body information block chain; the accuracy analysis module is used for analyzing the accuracy of the plurality of electronic river length terminals for detecting the water body information and obtaining a plurality of accuracy parameters; the water body information prediction module is used for analyzing and predicting the water body information in a plurality of subareas according to the water body information blockchain to obtain a plurality of predicted water body information; the water body information correction module is used for adjusting the plurality of predicted water body information according to the plurality of accuracy parameters to obtain a plurality of corrected predicted water body information; and the water body treatment module is used for making water body treatment schemes in a plurality of subareas according to a plurality of correction prediction water body information so as to treat the water body.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
according to the method, a plurality of different types of electronic river length terminals are distributed in a plurality of subareas in a current target water area to obtain multi-dimensional water body information of the subareas, then block chain nodes are constructed at the plurality of electronic river length terminals to construct and obtain a water body information block chain, further accuracy of the plurality of electronic river length terminals in water body information detection is analyzed to obtain a plurality of accuracy parameters, a plurality of prediction water body information is obtained, the plurality of prediction water body information is adjusted according to the plurality of accuracy parameters to obtain a plurality of correction prediction water body information, a water body treatment scheme in the plurality of subareas is formulated, and water body treatment is carried out. The application achieves the technical effects of realizing unattended monitoring on the whole water body, reducing the human consumption and improving the circulation efficiency and the safety of data cross departments and cross waterbasins.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the description below are only exemplary and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an electronic river length control method for unified co-treatment of a global water body;
FIG. 2 is a schematic flow chart of arranging a plurality of different types of electronic river length terminals in an electronic river length control method for unified treatment of a global water body;
FIG. 3 is a schematic flow chart of accuracy of water information detection by an analysis terminal in the electronic river length control method for unified treatment of a global water body;
FIG. 4 is a schematic structural diagram of an electronic river length control system for unified co-treatment of a global water body.
Reference numerals illustrate: the system comprises an electronic river length distribution module 11, a water body information acquisition module 12, a blockchain construction module 13, an accuracy analysis module 14, a water body information prediction module 15, a water body information correction module 16 and a water body treatment module 17.
Detailed Description
The application provides an electronic river length control method and system for unified combined treatment of a global water body, which solve the technical problems of low treatment accuracy and low efficiency in the prior art that multi-main-body combined traceable data of a whole water area cannot be reliably collected. The method has the advantages of realizing unattended monitoring on the whole-domain water body, reducing the human consumption and improving the circulation efficiency and the safety of data cross departments and cross river domains.
Various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
Referring to fig. 1, the application provides an electronic river length control method for unified co-treatment of a global water body, wherein the method specifically comprises the following steps:
step S100: arranging a plurality of different types of electronic river length terminals in a plurality of subareas in a current target water area, wherein the target water area is a water area needing global water body unified co-treatment;
further, as shown in fig. 2, a plurality of different types of electronic river length terminals are arranged in a plurality of partitions in the current target water area, and step S100 of the embodiment of the present application further includes:
step S110: acquiring a plurality of water area types of the target water area;
Step S120: according to the water area types, performing preliminary area division on the target water area to obtain a plurality of first-level areas;
step S130: acquiring water body change degree information of different areas in a plurality of primary areas;
step S140: dividing a plurality of first-level areas according to the water body change degree information to obtain a plurality of subareas;
step S150: and arranging a plurality of different types of electronic river length terminals in a plurality of the subareas.
Further, the step S150 of the embodiment of the present application further includes:
step S151: according to the water body change degree information, different numbers of shore fixed electronic river length terminals are respectively distributed in the subareas;
step S152: and according to the water body change degree information, different numbers of mobile electronic river length terminals are respectively distributed in the subareas, wherein the shore fixed electronic river length terminals are in communication connection with the mobile electronic river length terminals.
Specifically, the water area type is that the target water area is divided into different types according to the water area environment function and the protection target, and the method comprises the following steps: rivers, lakes, canals, channels, reservoirs, ponds, etc. The first-level region is a classification region obtained by primarily classifying the target region according to different water area types. Alternatively, the primary region may be a river region, a lake region, a canal region, a channel region, a reservoir region, a pond region, or the like. The water body change degree information of different areas in the primary area refers to the change degree information of the water body quality of different positions in the whole water area, which belongs to the same water area type. The water body change degree information comprises water body chromaticity change degree, water body turbidity change degree and the like. Further subdividing the primary region according to different water body change degrees, and dividing the region with the same water body change degree into the same region to obtain a plurality of subareas. And then setting the type and the water quantity of the electronic river length terminal according to the water body change degree.
Preferably, when the water body change degree information indicates that the water body change degree of the subareas is smaller, that is, the water quality change condition is not large, the water body change degree information is in a stable level for a long time, and a shore fixed type electronic river length terminal is arranged in a plurality of subareas. The number of arrangement is set according to the area size of the area, and is set by the staff himself, without limitation. The shore fixed electronic river length terminal is fixed on the shore of the partition through the base, and real-time monitoring is carried out on the water body through configuration of camera shooting monitoring, a wind speed sensor, a rainfall sensor and a detection box.
Preferably, when the water body change degree information indicates that the water body change degree of the partition is relatively large, the fluctuation range of water quality at different positions in the partition is relatively large, mobile electronic river length terminals are required to be arranged in the partition, the number of the mobile electronic river length terminals is set according to the area size and the fluctuation degree of the area, and the specific number is set by a worker by himself, so that the mobile electronic river length terminals are not limited. The mobile electronic river length terminal monitors the water body in real time by being provided with a wind speed and direction sensor, an air temperature and humidity sensor, a water quality sensor cabin and a communication antenna.
Specifically, the target water area is partitioned according to the type and the water body change degree, so that the goal of mastering the situation of the whole water body can be realized, different electronic river length terminals are configured, the situation of the water body can be monitored in a targeted manner, and the technical effects of coordinated configuration, accurate monitoring and control cost reduction are achieved.
By means of an example, a water body control system with the length of about 5 km is built in a river basin, 10 shore fixed electronic river length terminals are distributed along the river basin, so that operators on duty can check river channel information dynamics at any time conveniently, and law enforcement efficiency is improved. Meanwhile, the three areas are divided according to the types of the drainage basins: lake areas, reservoir areas, and channel areas. According to the area of the lake area, 2 mobile electronic river length terminals are arranged to detect the water body condition of the lake. And 1 mobile electronic river length terminals are arranged in the reservoir area, so that the environment in the reservoir is treated, the fishing condition is monitored, and meanwhile, the river flood condition is monitored.
Step S200: acquiring multidimensional water body information of a plurality of subareas in the target water area based on a plurality of electronic river length terminals to acquire a plurality of water body information;
Step S300: constructing blockchain nodes at the plurality of electronic river length terminals, uploading a plurality of water body information through the plurality of blockchain nodes, and constructing and obtaining a water body information blockchain;
specifically, the multidimensional water body information refers to water quality index dimensions such as water quality detection from different dimensions, wherein the multidimensional water body information comprises Chemical Oxygen Demand (COD), total Organic Carbon (TOC), absorbance (UV 254) of organic matters in water under 254nm wavelength ultraviolet light, chromaticity of the water body, turbidity of the water body, total Dissolved Solid (TDS) and the like. And acquiring a plurality of water body information by carrying out the dimension acquisition on the water bodies of the subareas in the target area. The collected multiple pieces of water body information are uploaded through the block chain link points at the electronic river length terminal, the safety and non-falsification of the water body information are guaranteed based on a hash algorithm, asymmetric encryption and the like in the uploading process, a data block is formed, and a water body information block chain is constructed and obtained. The blockchain node has the functions of storing and connecting a network, and can store the collected water body information locally and upload the water body information into a water body information blockchain. The water body information blockchain network is used for constructing water body information of the global water body into an interconnection network which can be mutually supervised. The block chain nodes constructed at the plurality of electronic river length terminals can mutually transmit information, so that the information transmission cost between the whole-domain water bodies can be reduced, and the accuracy and the efficiency of information transmission are improved. Due to traceability and unalterability of the blockchain, the water information can be guaranteed not to be tampered, and therefore the quality of overall water control is prevented from being affected.
Step S400: analyzing the accuracy of the plurality of electronic river length terminals for water body information detection to obtain a plurality of accuracy parameters;
further, as shown in fig. 3, the analyzing accuracy of the water body information detection by the plurality of electronic river length terminals in the embodiment of the present application further includes:
step S410: performing field sampling water body information detection in a plurality of the partitions to obtain a plurality of sampling water body information;
step S420: acquiring a plurality of multidimensional sampling water body index parameters in the sampling water body information and a plurality of multidimensional water body index parameters in the water body information;
step S430: calculating the difference value of the multi-dimensional sampling water body index parameters and the water body index parameters of each dimension in the multi-dimensional water body index parameters to obtain multi-dimensional water body index parameter errors;
step S440: and analyzing and obtaining a plurality of accuracy parameters according to the multi-dimensional water body index parameter errors.
Further, the analyzing to obtain a plurality of accuracy parameters according to the multidimensional water index parameter error in step S440 further includes:
step S441: according to the importance degree of the multidimensional water body index in the target water area, carrying out multiple different weight distribution to obtain multiple sub weight distribution results;
Step S442: according to the multiple sub-weight distribution results, calculating to obtain a weight distribution result of the multidimensional water body index;
step S443: carrying out weighted calculation on the multi-dimensional water body index parameter errors by adopting the weight distribution result to obtain weighted multi-dimensional water body index parameter errors;
step S444: and analyzing and obtaining a plurality of accuracy parameters according to the weighted multidimensional water body index parameter errors.
Specifically, the plurality of sampled water body information is information obtained by extracting a part of water body to perform water quality detection in a plurality of subareas through a water quality detection sensor comprising an industrial micro-spectrum array sensor chip according to a certain sampling method. Optionally, the sampling method includes: random sampling, systematic sampling, whole group sampling, hierarchical sampling, etc. The multi-dimensional sampling water body index parameter refers to an index value obtained after the sampling water body is detected, and the index value comprises: chemical oxygen demand COD, total organic carbon TOC, absorbance UV254 of organic matters in water under 254nm wavelength ultraviolet light, chromaticity of water, turbidity of water and total dissolved solids TDS. The multidimensional water index parameter refers to an index value obtained by intelligent monitoring of a plurality of water bodies obtained in a plurality of water body information, and the index value comprises: chemical oxygen demand COD, total organic carbon TOC, absorbance UV254 of organic matters in water under 254nm wavelength ultraviolet light, chromaticity of water, turbidity of water and total dissolved solids TDS.
Specifically, the multi-dimensional water body index parameter error can be obtained by performing one-to-one correspondence between the multi-dimensional sampling water body index parameter and the multi-dimensional water body index parameter according to different partitions and calculating the difference value. The multi-dimensional water index parameter errors are used for indicating errors between the overall water monitoring quality and the sampling water detecting quality of different subareas of the whole water area. Further, according to the multi-dimensional water index parameter errors, whether the monitoring of the water body in the area in the whole water area is accurate or not by different subareas can be obtained, and further, parameters representing the accuracy degree, namely the accuracy parameters, are obtained.
Specifically, because the monitoring errors of the plurality of electronic river length terminals cannot be determined, the in-situ sampling water body detection is carried out on different subareas, the sampling water body information is obtained, the index parameters in the sampling water body are compared with the index parameters in the water body acquired by the electronic river length terminals, whether the errors exist or not is judged, and the accuracy condition of the plurality of electronic river length terminals is obtained according to the error condition. Furthermore, the water body index comprises a plurality of indexes for evaluating the water body quality, the specific gravity of different indexes in calculation is different in the comprehensive evaluation of the water body quality, and a plurality of weight distribution results are obtained by carrying out weight distribution for a plurality of times according to the importance degree of water quality evaluation.
By way of example, the importance degree of the multidimensional water body index in evaluating the water body condition of the target water area is obtained by obtaining the relevant standard, and then the multidimensional water body index is subjected to weight distribution according to the importance degree, so that a plurality of distribution schemes are generated, and a plurality of sub-weight distribution results are obtained. Alternatively, the same weight distribution method can be adopted in a plurality of partitions to distribute the weight of the multidimensional water body index, and preferably, a relatively accurate weight distribution method is adopted. By weighting the multi-dimensional water index parameter errors according to the weight distribution result, the influence of the index with larger error but small influence on the water quality condition on the water evaluation can be reduced, and a plurality of accuracy parameters can be obtained.
Alternatively, different sub-weight distribution results can be obtained according to the first-level regions of different water area types. Because the water quality evaluation standards for different water area types are different, the specific gravity of the corresponding multidimensional water indexes in evaluating the water quality is also different. And carrying out weight distribution on the multidimensional water body indexes on the plurality of first-level areas according to the obtained sub weight distribution results. And then the weighted calculation is carried out on the multi-dimensional water body index parameter errors in the plurality of first-level areas to obtain a plurality of weighted multi-dimensional water body index parameter errors, and further accuracy parameters of the plurality of first-level areas are obtained. Therefore, the aim of monitoring error analysis aiming at different water area types is fulfilled, and the technical effect of improving the monitoring accuracy is achieved.
Step S500: according to the water body information block chain, analyzing and predicting the water body information in a plurality of subareas to obtain a plurality of predicted water body information;
further, the analyzing predicts the water information in a plurality of the partitions, and step S500 of the embodiment of the present application further includes:
step S510: based on time sequence, continuously acquiring and obtaining a plurality of pieces of water body information of a plurality of time points in a plurality of subareas, and obtaining a plurality of water body information sets;
step S520: uploading a plurality of water body information sets through a plurality of block chain nodes according to time sequence arrangement to obtain a plurality of water body information set sequences;
step S530: constructing a water body information prediction model;
step S540: and inputting a plurality of water body information set sequences into the water body information prediction model to obtain a plurality of predicted water body information.
Further, the step S530 of the embodiment of the present application further includes:
step S531: acquiring a plurality of historical water body information of the partitions for carrying out field water body detection in the historical time, and acquiring a plurality of historical water body information set sequences;
step S532: acquiring water body information of time points after a plurality of historical water body information collection sequences in the process of acquiring a plurality of partitions to perform on-site water body detection in historical time, and acquiring a plurality of historical prediction water body information;
Step S533: constructing a plurality of partitioned water body information prediction branches based on the BP neural network;
step S534: respectively adopting a plurality of historical water body information set sequences and a plurality of historical prediction water body information to carry out supervision training, verification and test on a plurality of water body information prediction branches;
step S535: and obtaining the water body information prediction model based on the constructed multiple water body information prediction branches.
Specifically, the water body information prediction model is a functional model for predicting the water body information of different partitions of the whole water area. The time sequence is according to the time sequence. The multiple water body information sets refer to sets of water body information containing different time points of the target water area, and are obtained through continuous collection of multiple electronic river length terminals. The plurality of water body information set sequences are sequences obtained by arranging the plurality of water body information sets according to a time sequence. The history time is a certain period of time that has elapsed, and is set by the staff, and is not limited herein. The historical prediction water body information is water body information for water body detection at a time point after a plurality of historical water body information set sequences is collected and is used as prediction data for training the water body information prediction model. The BP neural network is a multi-layer feedforward neural network trained according to an error reverse propagation algorithm, structurally comprises an input layer, a hidden layer and an output layer, and minimizes the mean square error of the actual output value and the expected output value of the network by utilizing the principle of random gradient descent.
Specifically, a plurality of water body information prediction branches of the subareas are constructed according to the BP neural network, and the water body information prediction branches of the subareas are constructed by taking a plurality of historical water body information set sequences and a plurality of historical prediction water body information as training, verifying and testing data.
Illustratively, the plurality of historical water information combining sequences and the plurality of historical predictive water information are separated into a training data set, a validation data set, and a test data set in a ratio of 4:3:3. If the operation speed and the operation precision of the predicted branches cannot meet the preset requirements after the water body information predicted branches of the partitions are tested, the specific gravity occupied by the training data set is increased until the predicted branches meet the requirements.
Specifically, combining the constructed multiple water body information prediction branches together to obtain a water body information prediction model for predicting the water body information of all the subareas of the target water area. Therefore, a plurality of water body information collection sequences acquired by a plurality of electronic river length terminals are input into the water body information prediction model, so that a plurality of predicted water body information of different partitions is obtained. The predicted water body information refers to water body information in a future period of time, which is obtained by prediction based on the existing water body information. Therefore, the future water body information can be predicted based on the existing water body information, the aim of predicting the water body quality in advance is achieved, the response speed is improved, and the technical effect of preparing for unified combined treatment of the global water body through early prediction is achieved.
Step S600: according to the accuracy parameters, adjusting the predicted water body information to obtain corrected predicted water body information;
step S700: and according to the correction and prediction water body information, formulating water body treatment schemes in the subareas to treat the water body.
Specifically, a plurality of the prediction water body information is adjusted through a plurality of accuracy parameters representing the monitoring accuracy of the subareas, the accuracy is relatively low, the prediction water body information obtained by analyzing and predicting the water body information sequences acquired based on a plurality of electronic river length terminals is corrected according to a plurality of multidimensional water body index parameter errors, and therefore accurate correction prediction water body information is obtained.
The method comprises the steps of acquiring a plurality of correction prediction water body information by using a plurality of electronic river length terminals, wherein the correction prediction water body information is acquired by inputting a water body information collection sequence acquired by the plurality of electronic river length terminals into a water body information prediction model for analysis and prediction, and the correction prediction water body information is acquired by correcting the correction prediction water body information based on a plurality of accuracy parameters in the above description because the correction prediction water body information also has a certain error due to the error existing in the water body information acquired by the electronic river length terminals, so that the accuracy of the correction prediction water body information serving as future water body quality reference data is improved.
And then, according to the correction and prediction water body information, a plurality of water body treatment schemes in the subareas are formulated so as to carry out unified combined treatment on the whole water area. Therefore, the aim of monitoring the whole water area to obtain a treatment scheme is fulfilled, the low human consumption is achieved, the monitoring cost is reduced, the data are digitally processed, and the technical effect of high processing efficiency is provided.
In summary, the electronic river length control method for unified co-treatment of the global water body provided by the application has the following technical effects:
1. according to the embodiment of the application, the target water area is classified, a plurality of different types of electronic river length terminals are distributed in a plurality of subareas, so that multidimensional water body information of the plurality of subareas can be obtained, block chain nodes are established based on the plurality of electronic river length terminals, and block chains for obtaining the water body information are constructed, so that the accuracy and the non-tamper-proof modification of information transmission can be ensured, and further, the accuracy of detection of the plurality of water body information is analyzed, and a plurality of prediction water body information is adjusted according to the obtained accuracy parameters, so that a water body treatment scheme in the plurality of subareas is formulated, and the water body treatment is carried out. The application realizes the comprehensive upgrade of the artificial river length system, establishes the digital electronic river length target, and achieves the technical effect of improving the efficiency and accuracy of the global water body combined treatment.
2. According to the method, multiple times of different weight distribution are carried out according to the importance degree of the multidimensional water body index in the target water area, multiple sub weight distribution results are obtained, then the weight distribution results of the multidimensional water body index are obtained through calculation according to the multiple sub weight distribution results, further the weighted calculation is carried out on the multidimensional water body index parameter errors by adopting the weight distribution results, multiple weighted multidimensional water body index parameter errors are obtained, and multiple accuracy parameters are obtained through analysis according to the multiple weighted multidimensional water body index parameter errors. The method and the device realize the aim of monitoring error analysis aiming at different water area types, and achieve the technical effect of submitting monitoring accuracy.
Example two
Based on the same inventive concept as the method for controlling the overall water body unified co-treatment in the first embodiment, as shown in fig. 4, the application further provides an electronic river length control system for the overall water body unified co-treatment, which comprises:
the electronic river length distribution module 11 is used for distributing a plurality of different types of electronic river length terminals in a plurality of subareas in the current target water area, wherein the target water area is a water area needing global water body unified co-treatment;
The water body information acquisition module 12 is used for acquiring multidimensional water body information of a plurality of subareas in the target water body based on a plurality of electronic river length terminals to obtain a plurality of water body information;
the block chain construction module 13 is used for constructing block chain nodes at a plurality of electronic river length terminals, uploading a plurality of water body information through a plurality of block chain link points and constructing and obtaining a water body information block chain;
the accuracy analysis module 14 is used for analyzing the accuracy of the water body information detection by a plurality of electronic river length terminals, and obtaining a plurality of accuracy parameters;
the water body information prediction module 15 is used for analyzing and predicting the water body information in a plurality of subareas according to the water body information blockchain to obtain a plurality of predicted water body information;
the water body information correction module 16, wherein the water body information correction module 16 is configured to adjust a plurality of predicted water body information according to a plurality of accuracy parameters, so as to obtain a plurality of corrected predicted water body information;
the water body treatment module 17, the water body treatment module 17 is used for making a plurality of water body treatment schemes in the subareas according to a plurality of correction and prediction water body information so as to treat the water body.
Further, the system further comprises:
the collecting unit is used for collecting and acquiring a plurality of water area types of the target water area;
the dividing unit is used for primarily dividing the area of the target water area according to the water area types to obtain a plurality of first-level areas;
the water body change acquisition unit is used for acquiring water body change degree information of different areas in the primary areas;
the regional division unit is used for dividing the first-level regions according to the water body change degree information to obtain a plurality of partitions;
the layout unit is used for layout a plurality of different types of electronic river length terminals in a plurality of the subareas.
Further, the system further comprises:
the fixed terminal layout unit is used for respectively laying different numbers of shore fixed electronic river length terminals in the subareas according to the water body change degree information;
the mobile terminal layout unit is used for respectively laying different numbers of mobile electronic river length terminals in a plurality of subareas according to the water body change degree information, wherein the shore fixed electronic river length terminals are in communication connection with the mobile electronic river length terminals.
Further, the system further comprises:
the monitoring unit is used for detecting the in-situ sampling water body information in the plurality of partitions to obtain a plurality of sampling water body information;
the index acquisition unit is used for acquiring multidimensional sampling water index parameters in the plurality of sampling water body information and multidimensional water body index parameters in the plurality of water body information;
the error acquisition unit is used for calculating the difference value of the multi-dimensional sampling water body index parameters and the water body index parameters of each dimension in the multi-dimensional water body index parameters to obtain a plurality of multi-dimensional water body index parameter errors;
the accuracy parameter acquisition unit is used for analyzing and obtaining a plurality of accuracy parameters according to the multi-dimensional water body index parameter errors.
Further, the system further comprises:
the weight distribution unit is used for carrying out different weight distribution for a plurality of times according to the importance degree of the multidimensional water body index in the target water area, so as to obtain a plurality of sub weight distribution results;
the calculating unit is used for calculating and obtaining the weight distribution result of the multidimensional water body index according to the plurality of sub weight distribution results;
The weighting calculation unit is used for carrying out weighting calculation on the multi-dimensional water body index parameter errors by adopting the weight distribution result to obtain weighted multi-dimensional water body index parameter errors;
the error analysis unit is used for analyzing and obtaining a plurality of accuracy parameters according to the weighted multidimensional water body index parameter errors.
Further, the system further comprises:
the water body information acquisition unit is used for continuously acquiring and acquiring a plurality of water body information of a plurality of time points in a plurality of subareas based on time sequence to acquire a plurality of water body information sets;
the collection sequence acquisition unit is used for collecting a plurality of water body information, arranging the water body information according to time sequence, and uploading the water body information through a plurality of block chain nodes to obtain a plurality of water body information collection sequences;
the model construction unit is used for constructing a water body information prediction model;
the prediction unit is used for inputting a plurality of water body information set sequences into the water body information prediction model to obtain a plurality of predicted water body information.
Further, the system further comprises:
the historical information acquisition unit is used for acquiring a plurality of historical water body information of the subareas for carrying out field water body detection in the historical time to acquire a plurality of historical water body information collection sequences;
the historical prediction information acquisition unit is used for acquiring water body information at a time point after a plurality of historical water body information collection sequences in the process of acquiring a plurality of partitions for carrying out on-site water body detection in the historical time to acquire a plurality of historical prediction water body information;
the prediction branch construction unit is used for constructing a plurality of partitioned water body information prediction branches based on the BP neural network;
the prediction branch construction unit is used for performing supervision training, verification and test on the plurality of the water body information prediction branches by adopting a plurality of historical water body information set sequences and a plurality of historical prediction water body information respectively;
and the prediction model acquisition unit is used for acquiring the water body information prediction model based on the constructed multiple water body information prediction branches.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein. It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and the equivalent techniques thereof, the present invention is also intended to include such modifications and variations.

Claims (3)

1. An electronic river length control system for unified co-treatment of a global water body, which is characterized by comprising:
the electronic river length distribution module is used for distributing a plurality of different types of electronic river length terminals in a plurality of subareas in the current target water area, wherein the target water area is a water area needing global water body unified co-treatment;
The water body information acquisition module is used for acquiring multidimensional water body information of a plurality of subareas in the target water body based on a plurality of electronic river length terminals to acquire a plurality of water body information;
the block chain construction module is used for constructing block chain nodes at a plurality of electronic river length terminals, uploading a plurality of water body information through a plurality of block chain link points and constructing and obtaining a water body information block chain;
the accuracy analysis module is used for analyzing the accuracy of the plurality of electronic river length terminals for detecting the water body information and obtaining a plurality of accuracy parameters;
the water body information prediction module is used for analyzing and predicting the water body information in a plurality of subareas according to the water body information blockchain to obtain a plurality of predicted water body information;
the water body information correction module is used for adjusting the plurality of predicted water body information according to the plurality of accuracy parameters to obtain a plurality of corrected predicted water body information;
the water body treatment module is used for making water body treatment schemes in a plurality of subareas according to a plurality of correction prediction water body information so as to treat the water body;
the accuracy analysis module is used for analyzing the accuracy of the detection of the water body information by a plurality of electronic river length terminals, and comprises the following steps:
The monitoring unit is used for detecting the in-situ sampling water body information in the plurality of partitions to obtain a plurality of sampling water body information;
the index acquisition unit is used for acquiring multidimensional sampling water index parameters in the plurality of sampling water body information and multidimensional water body index parameters in the plurality of water body information;
the error acquisition unit is used for calculating the difference value of the multi-dimensional sampling water body index parameters and the water body index parameters of each dimension in the multi-dimensional water body index parameters to obtain a plurality of multi-dimensional water body index parameter errors;
the accuracy parameter obtaining unit is used for analyzing and obtaining a plurality of accuracy parameters according to a plurality of multidimensional water body index parameter errors, and comprises the following steps:
the weight distribution unit is used for carrying out different weight distribution for a plurality of times according to the importance degree of the multidimensional water body index in the target water area, so as to obtain a plurality of sub weight distribution results;
the calculating unit is used for calculating and obtaining the weight distribution result of the multidimensional water body index according to the plurality of sub weight distribution results;
The weighting calculation unit is used for carrying out weighting calculation on the multi-dimensional water body index parameter errors by adopting the weight distribution result to obtain weighted multi-dimensional water body index parameter errors;
the error analysis unit is used for analyzing and obtaining a plurality of accuracy parameters according to the weighted multidimensional water body index parameter errors;
the water body information prediction module is used for analyzing and predicting the water body information in a plurality of subareas according to the water body information blockchain to obtain a plurality of predicted water body information, and comprises the following steps:
the water body information acquisition unit is used for continuously acquiring and acquiring a plurality of water body information of a plurality of time points in a plurality of subareas based on time sequence to acquire a plurality of water body information sets;
the collection sequence acquisition unit is used for collecting a plurality of water body information, arranging the water body information according to time sequence, and uploading the water body information through a plurality of block chain nodes to obtain a plurality of water body information collection sequences;
the model construction unit is used for constructing a water body information prediction model;
The prediction unit is used for inputting a plurality of water body information set sequences into the water body information prediction model to obtain a plurality of predicted water body information;
the method for distributing a plurality of different types of electronic river length terminals in a plurality of subareas in the current target water area comprises the following steps:
acquiring a plurality of water area types of the target water area;
according to the water area types, performing preliminary area division on the target water area to obtain a plurality of first-level areas;
acquiring water body change degree information of different areas in a plurality of primary areas;
dividing a plurality of first-level areas according to the water body change degree information to obtain a plurality of subareas;
arranging a plurality of different types of electronic river length terminals in a plurality of the subareas;
the step of arranging a plurality of different types of electronic river length terminals in a plurality of the subareas comprises the following steps:
according to the water body change degree information, different numbers of shore fixed electronic river length terminals are respectively distributed in the subareas;
according to the water body change degree information, different numbers of mobile electronic river length terminals are respectively distributed in the subareas, wherein the shore fixed electronic river length terminals are in communication connection with the mobile electronic river length terminals;
When the water body change degree information indicates that the water body change degree of the subareas is smaller, namely the water quality change condition is not large and is in a stable level for a long time, a shore fixed type electronic river length terminal is arranged in a plurality of subareas, the shore fixed type electronic river length terminal is fixed on the shore of the subareas through a base, and the water body is monitored in real time through configuration of camera monitoring, a wind speed sensor, a rainfall sensor and a detection box;
when the water body change degree information indicates that the water body change degree of the subarea is larger, the fluctuation range of water quality at different positions in the subarea is larger, and the movable electronic river length terminals are required to be arranged in the subarea, and the movable electronic river length terminals monitor the water body in real time by being provided with a wind speed and direction sensor, an air temperature and humidity sensor, a water quality sensor cabin and a communication antenna.
2. The system of claim 1, wherein the constructing the water information prediction model comprises:
acquiring a plurality of historical water body information of the partitions for carrying out field water body detection in the historical time, and acquiring a plurality of historical water body information set sequences;
acquiring water body information of time points after a plurality of historical water body information collection sequences in the process of acquiring a plurality of partitions to perform on-site water body detection in historical time, and acquiring a plurality of historical prediction water body information;
Constructing a plurality of partitioned water body information prediction branches based on the BP neural network; respectively adopting a plurality of historical water body information set sequences and a plurality of historical prediction water body information to carry out supervision training, verification and test on a plurality of water body information prediction branches;
and obtaining the water body information prediction model based on the constructed multiple water body information prediction branches.
3. An electronic river length control method for unified co-treatment of a global water body is characterized by comprising the following steps:
arranging a plurality of different types of electronic river length terminals in a plurality of subareas in a current target water area, wherein the target water area is a water area needing global water body unified co-treatment;
acquiring multidimensional water body information of a plurality of subareas in the target water area based on a plurality of electronic river length terminals to acquire a plurality of water body information;
constructing blockchain nodes at the plurality of electronic river length terminals, uploading a plurality of water body information through the plurality of blockchain nodes, and constructing and obtaining a water body information blockchain;
analyzing the accuracy of the plurality of electronic river length terminals for water body information detection to obtain a plurality of accuracy parameters;
According to the water body information block chain, analyzing and predicting the water body information in a plurality of subareas to obtain a plurality of predicted water body information;
according to the accuracy parameters, adjusting the predicted water body information to obtain corrected predicted water body information;
according to the correction and prediction water body information, setting water body treatment schemes in the subareas, and carrying out water body treatment;
analyzing the accuracy of the detection of the water body information by a plurality of electronic river length terminals, comprising the following steps:
performing field sampling water body information detection in a plurality of the partitions to obtain a plurality of sampling water body information;
acquiring a plurality of multidimensional sampling water body index parameters in the sampling water body information and a plurality of multidimensional water body index parameters in the water body information;
calculating the difference value of the multi-dimensional sampling water body index parameters and the water body index parameters of each dimension in the multi-dimensional water body index parameters to obtain multi-dimensional water body index parameter errors;
according to the multi-dimensional water body index parameter errors, analyzing and obtaining a plurality of accuracy parameters, wherein the accuracy parameters comprise:
according to the importance degree of the multidimensional water body index in the target water area, carrying out multiple different weight distribution to obtain multiple sub weight distribution results;
According to the multiple sub-weight distribution results, calculating to obtain a weight distribution result of the multidimensional water body index;
carrying out weighted calculation on the multi-dimensional water body index parameter errors by adopting the weight distribution result to obtain weighted multi-dimensional water body index parameter errors;
analyzing and obtaining a plurality of accuracy parameters according to the weighted multidimensional water body index parameter errors;
according to the water body information blockchain, analyzing and predicting the water body information in a plurality of subareas to obtain a plurality of predicted water body information, wherein the method comprises the following steps:
based on time sequence, continuously acquiring and obtaining a plurality of pieces of water body information of a plurality of time points in a plurality of subareas, and obtaining a plurality of water body information sets;
uploading a plurality of water body information sets through a plurality of block chain nodes according to time sequence arrangement to obtain a plurality of water body information set sequences;
constructing a water body information prediction model;
inputting a plurality of water body information set sequences into the water body information prediction model to obtain a plurality of predicted water body information;
the method for distributing a plurality of different types of electronic river length terminals in a plurality of subareas in the current target water area comprises the following steps:
Acquiring a plurality of water area types of the target water area;
according to the water area types, performing preliminary area division on the target water area to obtain a plurality of first-level areas;
acquiring water body change degree information of different areas in a plurality of primary areas;
dividing a plurality of first-level areas according to the water body change degree information to obtain a plurality of subareas;
arranging a plurality of different types of electronic river length terminals in a plurality of the subareas;
arranging a plurality of different types of electronic river length terminals in a plurality of subareas, wherein the electronic river length terminals comprise:
according to the water body change degree information, different numbers of shore fixed electronic river length terminals are respectively distributed in the subareas;
according to the water body change degree information, different numbers of mobile electronic river length terminals are respectively distributed in the subareas, wherein the shore fixed electronic river length terminals are in communication connection with the mobile electronic river length terminals;
when the water body change degree information indicates that the water body change degree of the subareas is smaller, namely the water quality change condition is not large and is in a stable level for a long time, a shore fixed type electronic river length terminal is arranged in a plurality of subareas, the shore fixed type electronic river length terminal is fixed on the shore of the subareas through a base, and the water body is monitored in real time through configuration of camera monitoring, a wind speed sensor, a rainfall sensor and a detection box;
When the water body change degree information indicates that the water body change degree of the subarea is larger, the fluctuation range of water quality at different positions in the subarea is larger, and the movable electronic river length terminals are required to be arranged in the subarea, and the movable electronic river length terminals monitor the water body in real time by being provided with a wind speed and direction sensor, an air temperature and humidity sensor, a water quality sensor cabin and a communication antenna.
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Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104766318A (en) * 2015-04-02 2015-07-08 哈尔滨师范大学 Water environment remote sensing monitoring and calibration test method and device
CN107194829A (en) * 2017-01-01 2017-09-22 何顺兰 River length water environment treatment managing and control system and its method
CN107705048A (en) * 2017-11-10 2018-02-16 江苏省泰州引江河管理处 A kind of lake grid-based management system
CN110426355A (en) * 2019-07-25 2019-11-08 海南昊霖环保科技有限公司 A kind of water quality monitoring sampling and quality control system
CN111062845A (en) * 2018-10-16 2020-04-24 俞悦 Gridding management system for ecological data of river and lake water body
CN111127272A (en) * 2018-09-18 2020-05-08 江苏达摩信息咨询有限公司 Gridding management system for ecological data of river and lake water body
CN112100301A (en) * 2020-08-30 2020-12-18 山东锋士信息技术有限公司 Method for realizing dynamic monitoring of water area shoreline by using high-resolution remote sensing technology
WO2021120788A1 (en) * 2019-12-19 2021-06-24 华中科技大学 Machine learning-based hydrologic forecasting precision evaluation method and system
WO2021174971A1 (en) * 2020-08-03 2021-09-10 生态环境部南京环境科学研究所 Water environment risk prediction and early warning method
CN113902344A (en) * 2021-11-18 2022-01-07 中水三立数据技术股份有限公司 Model-based water environment water quality target control method
CN114418189A (en) * 2021-12-25 2022-04-29 长视科技股份有限公司 Water quality grade prediction method, system, terminal device and storage medium
CN114819527A (en) * 2022-03-30 2022-07-29 无锡骁辰信息技术有限公司 Water environment monitoring data processing method based on river growth system

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104766318A (en) * 2015-04-02 2015-07-08 哈尔滨师范大学 Water environment remote sensing monitoring and calibration test method and device
CN107194829A (en) * 2017-01-01 2017-09-22 何顺兰 River length water environment treatment managing and control system and its method
CN107705048A (en) * 2017-11-10 2018-02-16 江苏省泰州引江河管理处 A kind of lake grid-based management system
CN111127272A (en) * 2018-09-18 2020-05-08 江苏达摩信息咨询有限公司 Gridding management system for ecological data of river and lake water body
CN111062845A (en) * 2018-10-16 2020-04-24 俞悦 Gridding management system for ecological data of river and lake water body
CN110426355A (en) * 2019-07-25 2019-11-08 海南昊霖环保科技有限公司 A kind of water quality monitoring sampling and quality control system
WO2021120788A1 (en) * 2019-12-19 2021-06-24 华中科技大学 Machine learning-based hydrologic forecasting precision evaluation method and system
WO2021174971A1 (en) * 2020-08-03 2021-09-10 生态环境部南京环境科学研究所 Water environment risk prediction and early warning method
CN112100301A (en) * 2020-08-30 2020-12-18 山东锋士信息技术有限公司 Method for realizing dynamic monitoring of water area shoreline by using high-resolution remote sensing technology
CN113902344A (en) * 2021-11-18 2022-01-07 中水三立数据技术股份有限公司 Model-based water environment water quality target control method
CN114418189A (en) * 2021-12-25 2022-04-29 长视科技股份有限公司 Water quality grade prediction method, system, terminal device and storage medium
CN114819527A (en) * 2022-03-30 2022-07-29 无锡骁辰信息技术有限公司 Water environment monitoring data processing method based on river growth system

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
我国流域水生态完整性评价方法构建;金小伟等;中国环境监测;第33卷(第01期);第75-81页 *
戴会超等.《水利水电工程多目标综合调度》.中国三峡出版社,2019,第30-32页. *
本溪市河长制管理信息系统Ⅱ期建设研究;朱菲等;水利信息化;2019年(第02期);第69-72页 *
水体监测物联网技术在河长制工作中的应用;丁春梅;吴宸晖;戚高晟;高士佩;;人民黄河(第10期);第61-64页 *
赵克伟主编.《建言献策助力乡村振兴:2019年山东省农业农村专家顾问团论文选编》.山东科学技术出版社,2020,第164-168页. *
金小伟等.我国流域水生态完整性评价方法构建.中国环境监测.2017,第33卷(第01期),第75-81页. *

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