A switch cabinet multi-parameter integrated early fire monitoring and early warning device

By integrating design and swirling zone technology, and combining pyrolysis particle and gas sensors, the contradiction between accuracy and miniaturization in early fire monitoring devices for switchgear has been resolved, achieving high-precision fire early warning within switchgear.

CN224417355UActive Publication Date: 2026-06-26STATE GRID CHONGQING ELECTRIC POWER CO ELECTRIC POWER RES INST +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Utility models(China)
Current Assignee / Owner
STATE GRID CHONGQING ELECTRIC POWER CO ELECTRIC POWER RES INST
Filing Date
2025-08-22
Publication Date
2026-06-26

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Abstract

The application discloses a switch cabinet multi-parameter integrated extremely early fire monitoring and early warning device, which comprises a pyrolysis particle sensor module, a gas sensing module and an intelligent control module, the intelligent control module is in communication connection with the pyrolysis particle sensor module and the gas sensing module, the pyrolysis particle sensor module comprises a laser scattering cavity, the laser scattering cavity is arranged at a downwind direction of an air duct, and the pyrolysis particle sensor module further comprises a gas driving component for blowing the gas in the air duct to the laser scattering cavity; a flow guide piece is arranged outside a preset distance of the downwind direction of the outlet of the laser scattering cavity, the flow guide piece is used for forming a rotational flow area for the blown air, and a gas sensor in the gas sensing module is located in the rotational flow area. The switch cabinet multi-parameter integrated extremely early fire monitoring and early warning device can consider the miniaturization of the overall volume and the timeliness and accuracy of early warning, is convenient to be installed in a smaller space in the switch cabinet, avoids the interference of particulate matters in the air, and improves the fire early warning accuracy through rapid analysis on multiple parameters.
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