Artificial intelligence electrical line fire risk real-time early warning method and system
A technology of artificial intelligence and fire early warning, which is applied in fire alarms with electric action, fire alarms with smoke/gas action, fire alarms, etc. To prevent problems before they happen, electrical line fire early warning and other issues, to achieve high early warning efficiency, eliminate occasional abnormalities, and accurate fire early warning effects
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Embodiment 1
[0059] see figure 1 , the application provides an artificial intelligence electrical circuit fire risk real-time early warning method, comprising the following steps:
[0060] S1: Collect multi-dimensional data of each electrical circuit in real time. The multi-dimensional data includes the temperature rise of the measuring point, the temperature rise of the meter box, and the load current. Among them, the temperature rise of the measuring point and the temperature rise of the meter box are obtained through the collection of the temperature field. Point temperature, meter box temperature, ambient temperature;
[0061] S2: Perform abnormal judgment on multi-dimensional data to obtain the abnormal level of each electrical circuit;
[0062] S3: Calculate and obtain the fire warning risk value of each electrical circuit according to the abnormal level of each electrical circuit and the duration of the abnormal level.
[0063] The present embodiment is described in detail now:
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Embodiment 2
[0113] see Figure 5 , the present application provides a real-time early warning system for artificial intelligence electrical circuit fire risk based on Embodiment 1, including:
[0114] One or more Internet of Things collection and perception terminals 1, the Internet of Things collection and perception terminal includes a load current detection module, a measurement point temperature detection module, a meter box temperature detection module, and an ambient temperature detection module to collect multi-dimensional data of electrical circuits in real time, The multi-dimensional data includes the temperature rise of the measuring point, the temperature rise of the meter box, and the load current. Among them, the temperature rise of the measuring point and the temperature rise of the meter box are obtained through the collection of the temperature field, and the temperature field includes the temperature of the measuring point, the temperature of the meter box, and the ambient...
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