Fire-fighting pipe fitting connector leakage real-time alarm system based on gas sensor

By deploying multiple gas concentration acquisition terminals in fire-fighting pipelines and utilizing background suppression and multi-dimensional evaluation models, the problems of false alarms and location in fire-fighting pipeline leakage monitoring were solved, enabling accurate identification of leaks and prediction of system impacts, and generating guiding alarm commands.

CN121876376APending Publication Date: 2026-04-17SHANDONG WELLEK FIRE TECH CO LTD
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Patent Information

Application Number
CN202610351867.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-22
Publication Date
2026-04-17

AI Technical Summary

Technical Problem

Existing fire pipeline leakage monitoring technologies cannot effectively distinguish environmental background interference, leading to frequent false alarms. Furthermore, they cannot accurately assess the spatial location and systemic impact of leaks, making quantitative prediction difficult.

Method used

A sensor array is formed by multiple gas concentration acquisition terminals. Environmental interference is filtered out by background suppression algorithm. Combined with multidimensional leakage assessment model and fluid dynamics simulation, leakage confidence, intensity level and potential impact area are generated to trigger graded alarm response.

Benefits of technology

It improves the accuracy of leak identification, provides spatial location of leaks and quantitative prediction of system impact, and generates composite alarm commands with action guidance.

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Abstract

The invention relates to the technical field of intelligent monitoring of fire-fighting equipment, in particular to a fire-fighting pipe fitting connector leakage real-time alarm system based on a gas sensor, which comprises the following steps of: acquiring concentration data of various gases by arranging a sensor array, comparing the concentration data with an environmental background feature library by utilizing a background noise suppression algorithm, and determining the leakage of the various gases; and after interference is filtered, an effective leakage characteristic signal is generated. The signal is analyzed through a multi-dimensional leakage evaluation model, and leakage confidence, intensity and preliminary positioning are obtained. And in combination with a fire-fighting pipeline topological structure, the system deduces a leakage influence range and estimates pressure loss, and finally triggers a grading alarm mechanism to generate a composite alarm instruction including grades, positions, influence areas and disposal suggestions. According to the system, false alarms caused by environmental interference can be reduced, the influence range of a leakage event is pre-judged in advance, and the alarm accuracy and the emergency disposal pertinence are improved.
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