Search

CN-119887209-B - River basin pollution discharge right management method and system based on alliance chains and knowledge graph

CN119887209BCN 119887209 BCN119887209 BCN 119887209BCN-119887209-B

Abstract

The application discloses a river basin pollution discharge right management method and system based on a alliance chain and a knowledge graph, and relates to the technical field of environmental protection and the technical field of information. The management method and the system aim to provide a transparent, efficient and intelligent solution for pollution emission management in a river basin by combining the non-falsification of a alliance chain, the data association and intelligent analysis capability of a distributed account book characteristic and a knowledge graph. The method comprises the steps of building a HYPERLEDGER FABRIC platform, compiling a set of rewarding and punishing mechanism algorithm by utilizing intelligent contracts, carrying out automatic rewarding and punishing operation by utilizing preset rules, recording pollution discharge right transaction information on a chain, constructing a river basin knowledge graph according to a transaction result and a river topology structure, and finally analyzing river basin environment data by utilizing a knowledge graph reasoning technology to assist a user to carry out transaction decisions more scientifically and reasonably.

Inventors

  • XIAO RUIFENG
  • HUANG XIAOFANG
  • FAN MIN
  • SONG LUHUA

Assignees

  • 西南科技大学

Dates

Publication Date
20260508
Application Date
20241226

Claims (6)

  1. 1. A river basin pollution discharge right management method based on a alliance chain and a knowledge graph is characterized by comprising the following specific steps: S1, constructing a super ledger transaction network which comprises a plurality of organization nodes and authority mechanisms; s2, after the transaction is carried out among the users, related transaction data are recorded in a blockchain; S3, calculating the water quality condition of each river basin according to the river topology structure, and recording the obtained water area environment capacity WEC value into a structure body defined by the intelligent contract; S4, writing a water area environment capacity rewarding and punishing algorithm by using an intelligent contract, and presetting rewarding and punishing conditions according to a dynamic threshold; S5, constructing a knowledge graph according to the real water quality data of each river basin and the river topology structure; S6, calculating a loss function score of the trade data triplet by utilizing a CompGCN model by using a knowledge reasoning technology, wherein the S6 comprises: S6.1, removing noise from the constructed knowledge graph, filling in missing values and preprocessing a standardized data format; S6.2, setting a loss function form, initializing CompGCN a model, and adjusting the model learning rate, the hidden layer unit number and the activation function according to the scene; S6.3, inputting the WEC value of the current user into the data set after training, obtaining the corresponding score of the current user through a loss function, storing the highest score in a triplet form, and generating a new knowledge graph to provide the user with intelligent decision guidance.
  2. 2. The river basin sewage right management method based on the alliance chain and the knowledge graph according to claim 1, wherein the S1 comprises: S1.1, building a super ledger network, and defining sequencing nodes and peer nodes of each organization; S1.2, writing contract parameters, and setting WEC values, rewarding amounts, punishment amounts, deadlines and thresholds; S1.3, definition of OrganizationRegistered, tradeCompleted, rewardOrPenaltyClaimed and TRADEFAILED events.
  3. 3. The drainage basin pollution discharge right management method based on the alliance chain and the knowledge graph according to claim 1, wherein the step S2 comprises: S2.1, an organization node initiates a transaction, and after each organization member receives a transaction request broadcast by a user, the organization member firstly performs preliminary verification, which comprises checking the validity of a digital signature, ensuring the correct transaction format, confirming that a transaction initiator has enough pollution discharge balance and has enough qualification to participate in the transaction; S2.2, verifying consistency between the data of the new transaction and other data recorded on the alliance chain.
  4. 4. The drainage basin pollution discharge right management method based on the alliance chain and the knowledge graph according to claim 1, wherein the step S3 comprises: s3.1, cleaning and preprocessing the collected data to remove abnormal values or fill up missing values; S3.2, determining key parameters for calculating the WEC value according to the water quality standard and the specific conditions of the watershed; S3.3, defining a structure body containing WEC values and other relevant information for each user, and creating a mapping by using addresses or other unique identifiers as keys.
  5. 5. The drainage basin pollution discharge right management method based on the alliance chain and the knowledge graph according to claim 1, wherein the step S4 comprises: S4.1, perfecting an intelligent contract code by using Solidity programming language, and creating a sol file containing water area environment capacity rewarding and punishing logic, wherein the sol file defines the structure, variables, functions and events of the intelligent contract; S4.2, setting a dynamic threshold value and transaction interception time, and writing preset conditions and trigger events into contracts; And S4.3, reaching the deadline, and automatically carrying out preset rewards and penalties on enterprises meeting and not meeting the requirements.
  6. 6. The drainage basin pollution discharge right management method based on the alliance chain and the knowledge graph according to claim 1, wherein the step S5 comprises: s5.1, processing transaction data on a chain and converting the transaction data into a form of triples; S5.2, constructing a knowledge graph according to the converted data, and displaying by using neo4 j.

Description

River basin pollution discharge right management method and system based on alliance chains and knowledge graph Technical Field The application relates to the technical field of environmental protection, in particular to a drainage basin pollution discharge right management method and system based on a alliance chain and a knowledge graph. Background With the development of social economy and the acceleration of urban process, the watershed water environment ecological system taking water as a main body is a main place for human survival and social development, and is also the most basic artery for the development of industries such as industry, agriculture, water conservancy and the like. Intelligent water affairs aim at realizing the wish of 'intelligent decision, high-efficiency service', and through automatization processing business flow and providing convenient service, more scientific management mode and better user experience are striven for to be created. The statistics show that the intelligent water market scale in 2023 is about 188 hundred million yuan, and the estimated 280 hundred million yuan in 2027 is achieved, and the average growth rate of the compound year is 10.5%. According to the data of the Chinese water right exchange, the total water right exchange volume in 2023 is 5.39 hundred million cubic meters, which is increased by 2.89 hundred million cubic meters in 2022 and is increased by 115.4 percent in the same way, the total water right exchange volume is 1.42 hundred million yuan, which is increased by 5838.70 ten thousand yuan in 2022 and is increased by 69.8 percent in the same way, the total water right exchange volume is 5760 pens, which is increased by 2253 pens in 2022 and is increased by 64.2 percent in the same way. However, in this rapidly evolving context, our country has accumulated a great deal of knowledge in this area. Because of the lack of unified knowledge management, better reuse is not possible, and a complete and systematic knowledge system cannot be formed effectively, so that the knowledge acquisition and utilization cost is high. Meanwhile, the method is in the current drainage right trading system of the drainage basin. The blow-down right trading secondary market is continuously low in fans, and the problems of opaqueness, incapacitation, unsafe, difficult tracing and the like exist in the trading process. The authenticity of the drainage data reported by drainage enterprises cannot be guaranteed, and corresponding incentive and punishment mechanisms are lacked. In order to ensure fairness and transparency of transactions, reduce the cost of knowledge utilization, improve the overall efficiency of pollution discharge transactions, and how to construct an effective knowledge management and transaction support system becomes a problem to be solved urgently. Disclosed in chinese patent document CN111143472a is a pollution discharge management method, apparatus and medium based on alliance chain. Disclosed in Chinese patent document with publication number CN114092239A is a pollution discharge monitoring and evidence-passing transaction system based on Internet of things and alliance chains. The above patents focus on supervision of emissions, but fail to improve the efficiency of emissions trading and provide decision support. The invention aims to effectively integrate the advantages of various technologies, rewards and penalties are carried out on enterprises through comprehensive application of intelligent contracts, and the reasoning function of the knowledge graph is adopted, so that the efficiency of the whole transaction is improved, and visual decision guidance is given to users. Disclosure of Invention The application aims to provide a river basin sewage right management method and system based on a alliance chain and a knowledge graph, which improve the transparency and efficiency of overall transaction by the following improvement. Specifically, the application introduces a punishment algorithm based on the water area environment capacity on the prior art HYPERLEDGER FABRIC system, and the application is under the premise of not affecting the health of the ecological system. By monitoring the water quality parameters of each river reach, the WEC value of each river reach can be calculated. Then, different punishment criteria are set according to these WEC values. For enterprises which adopt treatment measures to make the WEC value of the river reach higher than the preset standard, a certain economic benefit is given. Conversely, if an enterprise fails to effectively control pollutant emissions, resulting in its responsible segment WEC value being below a specified standard, it is penalized by a corresponding penalty or other form. The method is not only helpful for stimulating enterprises to actively improve the water quality, but also can promote reasonable allocation of resources. The application sets a dynamically adjustable WEC threshold in view