Blockchain-based wastewater treatment data traceability system
By performing semantic mining and fusion on wastewater treatment data, data is stored on the blockchain only when the water quality does not meet the requirements for water purification. This solves the problem of low reliability in wastewater treatment data storage and management, and achieves a balance between cost and reliability.
CN121117068BActive Publication Date: 2026-05-26SICHUAN KEJIAN TESTING TECH CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN KEJIAN TESTING TECH CO LTD
- Filing Date
- 2025-08-27
- Publication Date
- 2026-05-26
AI Technical Summary
Technical Problem
In existing technologies, the reliability of wastewater treatment data storage and management is relatively low, especially in large-scale data storage where blockchain applications suffer from high costs and low efficiency.
Method used
By acquiring water quality testing data of purified wastewater, semantic mining and fusion are performed to form a semantic representation of the target water quality. Data is stored in the blockchain only when the water quality does not meet the requirements for water purification, so as to achieve traceability.
Benefits of technology
It improves the reliability of data storage management, reduces unnecessary storage costs, and enhances the reliability and semantic representation accuracy of water quality testing results.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121117068B_ABST
Abstract
This invention provides a blockchain-based wastewater treatment data traceability system, relating to the field of data analysis technology. In this invention, firstly, semantic mining is performed on each water quality spectral data sequence to form A water quality spectral semantic representations; then, these A water quality spectral semantic representations are fused at least at one level to form a target water quality semantic representation; further, based on the target water quality semantic representation, the target water quality detection results are analyzed and output; finally, when the target water quality detection results indicate that the water quality meets the water purification requirements, the water quality detection data is not stored; when the target water quality detection results indicate that the water quality does not meet the water purification requirements, the water quality detection data and corresponding water purification equipment operating parameters are stored in the target blockchain to retrieve the relevant data when data traceability is needed. Based on the above method, the problem of relatively low reliability in data storage management in existing technologies can be improved.
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