Method and device for monitoring electrical fire and server
An electrical fire and circuit technology, used in electrical fire alarms, measuring devices, and fire alarms that rely on smoke/gas effects, can solve the problem of high misjudgment rate, reduce the probability of misjudgment, and improve the system The effect of stability and strong anti-interference ability
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Embodiment 1
[0029] figure 1 It is a flow chart of the electrical fire monitoring method provided by Embodiment 1 of the present invention. like figure 1 as shown,
[0030] The electrical fire monitoring method provided by Embodiment 1 of the present invention includes:
[0031] Step S1: Obtain a plurality of detection data about electrical fire characteristic parameters of the circuit; wherein, the electrical fire characteristic parameters include one or a combination of residual current parameters and environmental parameters, and the residual current parameters include residual current, residual current change rate and residual current variation, the environmental parameters include temperature, infrared intensity and smoke concentration.
[0032] Step S2: Fuse the detection data of the characteristic parameters of the electrical fire to obtain the monitoring result. Specifically, algorithms such as fuzzy reasoning or evidence theory can be used to perform data fusion on the detecti...
Embodiment 2
[0035] This embodiment is a further description of the method steps in the first embodiment. figure 2 It is a flow chart of obtaining residual current parameters provided by Embodiment 2 of the present invention. like figure 2 As shown, in this embodiment, the step of obtaining the residual current parameter includes:
[0036] Step S11, within a certain time window, collect the detection data of the residual current in the circuit according to a certain time interval, and obtain the residual current time series I 1 , I 2 , I 3 ,..., I n-1 ;
[0037] Step S12, calculating the residual current reference value I according to the residual current time series 0 ; Specifically, I 0 The residual current time series I can be taken 1 , I 2 , I 3 ,..., I n-1 mean value.
[0038] Step S13, using the residual current transformer to detect the current residual current I in the circuit n ;
[0039] Step S14, according to the current residual current I n and residual current...
Embodiment 3
[0041] This embodiment is a further description of the method steps in the first embodiment. like image 3 As shown, in this embodiment, the steps of fusing the detection data of electrical fire characteristic parameters to obtain monitoring results include:
[0042] Step S21, using the first neural network to fuse the temperature, infrared intensity and smoke concentration detection data to obtain the basic probability assignment of the environmental evidence. Specifically, temperature, infrared intensity and smoke concentration detection data can be input as feature vectors into the first neural network, and then the output of the first neural network is normalized to obtain the basic probability assignment of environmental evidence.
[0043]Step S22, using the second neural network to fuse the remaining current, the rate of change of the remaining current and the amount of change of the remaining current to obtain the basic probability assignment of the current evidence. ...
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