Pyrolysis particle detection system

By employing dual-wavelength photoelectric detection and multi-dimensional data fusion technology, accurate identification and early warning of submicron-level pyrolysis particles in electrical equipment have been achieved, solving the problems of lag and false alarms in traditional fire detection and improving the safety of electrical equipment.

CN122245008APending Publication Date: 2026-06-19DEWEAVER INTELLIGENT EQUIP GRP CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
DEWEAVER INTELLIGENT EQUIP GRP CO LTD
Filing Date
2026-05-20
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing fire detection technologies cannot effectively identify submicron-sized pyrolysis particles in electrical equipment, resulting in delayed early warnings and a high risk of false alarms. Furthermore, they are slow to respond in complex electromagnetic environments.

Method used

By employing a dual-wavelength photoelectric detection module combined with an airflow acquisition module and an environmental parameter sensing module, a fire risk value is generated through the fusion of scattered light intensity ratio and multi-dimensional data, enabling accurate identification and early warning of submicron-level pyrolysis particles.

Benefits of technology

It improves the reliability and response speed of early warning of fires in electrical equipment, reduces the false alarm rate, and maintains stable monitoring performance in complex environments.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention discloses a pyrolysis particle detection system, belonging to the field of fire detection technology. It includes an airflow acquisition module, a photoelectric detection module, an environmental parameter sensing module, a processing unit, and an alarm module. The photoelectric detection module is equipped with two laser sources of different wavelengths. It acquires the intensity of scattered light from particles at the two wavelengths at a preset forward scattering angle and calculates their ratio. It utilizes the difference in wavelength dependence between submicron pyrolysis particles and larger dust particles to identify and determine the concentration of pyrolysis particles. The environmental parameter sensing module acquires characteristic gas concentration and temperature information. The processing unit generates a fire risk value based at least on the pyrolysis particle concentration change rate, the cumulative characteristic gas concentration, and the temperature change rate, and outputs an alarm signal when the risk value exceeds a threshold. This invention can capture pyrolysis particles before visible smoke is generated, offering advantages such as very early warning, strong anti-interference capability, and adaptively adjustable sensitivity.
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