Data transmission method and system of non-magnetic dry type internet of things water meter

By performing regularity scoring and correlation analysis on the instantaneous flow data of non-magnetic dry IoT water meters, the problem of high false alarm rate in microflow scenarios was solved, and the accuracy and energy efficiency of data transmission were improved.

CN122437873APending Publication Date: 2026-07-21JINAN RICHNES ELECTRONICS CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
JINAN RICHNES ELECTRONICS CO LTD
Filing Date
2026-06-23
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing non-magnetic dry IoT water meters lack the comprehensive analysis capability for the stability and regularity of small flow rates in microflow scenarios, resulting in a high false alarm rate and increasing the number of terminal communication wake-up calls and network bandwidth usage.

Method used

By acquiring instantaneous flow data from non-magnetic dry water meters, microflow time periods that meet the preset microflow intervals are selected. The regularity score is evaluated by combining the continuous distribution and fluctuation characteristics of the microflow time periods with the similarity of microflow feature vectors of adjacent dates. The data transmission period is then selected based on the similarity of flow data from associated water meters.

Benefits of technology

Accurately distinguish between real microflow events and non-water-use factors, reduce false alarm rate, reduce invalid communication wake-up times, and improve the relevance of data transmission and system energy efficiency.

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Abstract

The present application relates to the technical field of data processing, in particular to a data transmission method and system of a non-magnetic dry type Internet of Things water meter. The method comprises: screening micro-flow time periods based on instantaneous flow data collected by the non-magnetic dry type water meter; determining micro-flow feature vectors and obtaining regularity scores according to the continuous distribution of the micro-flow time periods in each sub-time period, the fluctuation characteristics of the instantaneous flow data, and the similarity of the micro-flow feature vectors of each sub-time period and the corresponding sub-time period in the adjacent date; obtaining a target credibility based on the regularity scores of each sub-time period and the sub-time period before it; obtaining a corresponding correlation degree according to the similarity of the instantaneous flow data of each water meter and the associated water meter in the same sub-time period in the same pipe network topology; and screening a to-be-reported period and performing data transmission according to the target credibility and the correlation degree. The present application reduces the number of invalid communication wake-up times and network bandwidth occupation while ensuring the timely reporting of real abnormal micro-flow.
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