Networking type electrical fire early warning system

Abstract

A networking type electrical fire early warning system comprises a sensing terminal nodes configured in regions to be detected, a gateway and a monitoring center server. The sensing terminal nodes are used for acquiring electrical signals in the regions to be detected, the output ends of the sensing terminal nodes are connected with the signal input end of the gateway, the output end of the gateway is connected with the monitoring center server through a network, and the output end of the monitoring center server serves as an output of the networking type electrical fire early warning system to be connected with a remote user terminal wirelessly. The networking type electrical fire early warning system can monitor electrical devices round the clock all weather and timely and reliably performs fire early warning, and a monitoring center monitors and records power utilization information of the devices in real time, facilitates mastering of ageing situation of the electrical devices and can publish fire warning information to terminals of users.

Description

technical field [0001] The invention relates to the field of the Internet of Things, in particular to a fire early warning system under the Internet of Things environment, in particular to a networked electrical fire early warning system. [0002] Background technique [0003] At present, there are a large number of electrical equipment in large buildings such as shopping malls and office buildings, and the monitoring method of manual patrol on the ground is mainly used. Traditional manual patrolling needs to invest a lot of financial and material resources, and there are disadvantages such as subjective dereliction of duty of patrolling personnel and inability to monitor in real time; therefore, early fires cannot be detected in time. At the same time, because the manual inspection method cannot achieve 24-hour real-time monitoring of most electrical equipment, it has no good effect on fire warning. [0004] Contents of the invention [0005] The object of the present...

AI Technical Summary

Problems solved by technology

Traditional manual patrolling needs to invest a lot of financial and material resources, and there are disadvantages such as subjective dereliction of duty of patrolling personnel and inability to monitor in real time; therefore, early fires cannot be detected in time

At the same time, because the manual inspection method cannot achieve 24-hour real-time monitoring of most electrical equipment, it has no good effect on fire warning

Images