A digital processing method for water supply system user water outage alarm
By limiting the monitoring period, dividing the water use period and confirming standard intervals in the water supply system, identifying abnormal moments and analyzing flow changes, the problem that the existing system cannot effectively identify water leakage situations is solved, and accurate identification and timely handling of water leakage risks are achieved.
CN119358852BActive Publication Date: 2025-03-21SHENZHEN LANGRAY IND DEV CO LTD
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Patent Information
- Application Number
- CN202411933652.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-26
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2044-12-26
AI Technical Summary
Technical Problem
When monitoring the user's water usage characteristics, the existing water supply system cannot effectively identify the water leakage, resulting in the inability to promptly issue a water shutdown alarm.
Method used
By limiting the monitoring period, the peak, normal and low peak water use periods are divided, the mean and standard deviation are used to confirm the standard intervals of the water use nodes, abnormal moments are identified, and the water leakage risk is analyzed through the flow change curve to generate a leak detection signal.
Benefits of technology
It realizes accurate identification of water leakage risks in the water supply system, reduces misjudgment, saves investigation time and labor costs, and ensures the normal operation of the water supply system.
✦ Generated by Eureka AI based on patent content.
Abstract
The present invention discloses a digital processing method for water outage alarm of water supply system users, which relates to the technical field of water supply systems and solves the problem that it is impossible to identify whether there is a water leakage in the corresponding water supply system without further analysis and processing. The present invention scientifically calculates the standard intervals of different water use periods by using the mean and standard deviation for each node of the water supply pipeline; in the massive water use data, it is like setting a precise "ruler" to efficiently screen out abnormal water use data, greatly reducing the possibility of misjudgment, allowing operation and maintenance personnel to focus on the real potential problem nodes, saving troubleshooting time and manpower costs, and ensuring the smooth "veins" of the water supply system. According to the time period and the water use data change curve, in-depth analysis is performed to explore the law of water flow decline, identify the continuous decline segment and the corresponding time characteristics, and accurately calibrate the standard node; this "point-to-surface" and "line-to-network" troubleshooting logic.
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