Water quality monitoring big data storage and correlation analysis method and system

By using component-based processing and mortise and tenon interlocking structures, the problem of the same water quality disturbance being broken down in water quality monitoring big data has been solved, realizing the correlation analysis of water quality data and the structured preservation of non-response relationships, supporting the judgment of pollution transmission.

CN122364196APending Publication Date: 2026-07-10ANHUI XIANGAN ENVIRONMENTAL PROTECTION CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ANHUI XIANGAN ENVIRONMENTAL PROTECTION CO LTD
Filing Date
2026-05-18
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

In water quality monitoring big data storage and correlation analysis, the same water quality disturbance is broken down in the data storage stage, and the non-response relationship is difficult to retain in a structured manner, resulting in a lack of basis for judging pollution transmission and equipment status interference.

Method used

Water quality data components are generated through componentization, and a tenon-and-mortise interlocking structure is constructed using leading edge interlocking codes and trailing edge interlocking codes to generate a set of associated debt items, thereby realizing the correlation analysis of water quality data.

Benefits of technology

Effectively organize water quality data from different monitoring sections, indicators, and sampling intervals to reduce fragmentation issues, and provide structured preservation of non-response relationships through unpaid transfer of certificates and blank evidence records to support pollution transmission assessment.

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Abstract

The present application relates to water quality monitoring data processing technical field, specifically to a kind of water quality monitoring big data storage and association analysis method and system;The method comprises: obtaining water quality monitoring business data and association rule data, water quality monitoring business data is processed, and water quality data component is generated;According to component attribute data, generate front edge occlusion code and rear edge occlusion code, and generate association debt item set;When new water quality data component is written, the association debt item in the state to be paid is paid matching, and paid association record is generated;Association debt item that has not formed paid association record is not paid and is converted into certificate processing, and blank evidence record is generated, and water quality association analysis record is generated.The present application realizes the succession of water quality monitoring data storage, payment type association matching and the structure record of non-response relationship.
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