A multi-sensor-based boiler water wall leakage monitoring method and system

By employing multi-sensor monitoring methods and a risk assessment model based on multi-parameter analysis, the problems of early warning and precise location of leaks in boiler water-cooled walls have been solved, achieving efficient leak risk management and cost optimization.

CN122149770APending Publication Date: 2026-06-05HUANENG ANYUAN POWER GENERATION CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HUANENG ANYUAN POWER GENERATION CO LTD
Filing Date
2026-01-20
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing methods for monitoring leaks in boiler water-cooled walls are insufficient to achieve reliable early warning and accurate location in complex operating environments. Single monitoring signals are easily affected by noise, and false alarms or missed alarms often occur.

Method used

By employing a multi-sensor monitoring method, a risk assessment model based on multi-parameter analysis is established, and the leakage monitoring strategy is dynamically adjusted. By combining acoustic fingerprint sensing points and auxiliary acquisition points, the early warning and precise location of boiler water-cooled wall leaks are achieved through the risk assessment model and the leakage diagnosis model.

Benefits of technology

It improves the early warning efficiency of boiler water-cooled wall leakage risk and the accuracy of leakage point location, reduces the monitoring and maintenance cost under low-risk conditions, and enhances adaptability to different operating conditions.

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Abstract

The application relates to the technical field of boiler leakage monitoring, in particular to a boiler water-cooled wall leakage monitoring method and system based on multiple sensors. The method comprises the following steps: setting multiple voiceprint sensing points and auxiliary collection points according to the structural parameters of a boiler; generating a leakage risk value according to a preset risk assessment model and feedback data of each auxiliary collection point, and setting a leakage monitoring strategy according to the leakage risk value; obtaining monitoring voiceprint data of each voiceprint sensing point according to the leakage monitoring strategy, and judging whether to generate an early warning instruction according to all monitoring voiceprint data and a preset leakage diagnosis model; the risk assessment model of multiple parameter analysis is established to improve the early warning efficiency of potential leakage risks of the boiler water-cooled wall, the leakage monitoring strategy is dynamically adjusted according to the leakage risk value, intelligent allocation of monitoring resources is realized, the monitoring operation and maintenance cost in a low-risk state is reduced, and the positioning accuracy of potential leakage points in a high-risk state is ensured.
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