Fire-fighting area distribution method, device and terminal device
A fire-fighting and regional technology, which is applied in the field of fire-fighting deployment, can solve the problems of users' normal production and life interfering with the fire-fighting Internet of Things, false alarms, fire emergency management personnel's difficulty in the overall severity of fires, etc., to achieve reliable decision-making basis, reduce the probability of misjudgment, The effect of improving recognition ability
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Embodiment 1
[0042] Such as figure 1 As shown, this embodiment provides a method for arming fire protection areas, which can be applied to terminal equipment such as intelligent fire monitoring equipment, fire detection and alarm equipment, and the like. The fire protection area arming method provided in this embodiment includes:
[0043] S101. Acquire fire-fighting sensing data of a fire-fighting area; wherein, the fire-fighting area includes more than one sub-fire-fighting area; and the fire-fighting sensing data includes different types of sub-fire-fighting sensing data.
[0044] In a specific application, the fire sensing data sent by the fire sensing equipment in the fire area is acquired, wherein the fire area includes more than one sub-fire area, and the fire sensing data includes different types (more than one type) of sub-fire sensors data; fire sensing equipment includes but is not limited to temperature sensors, smoke sensors, CO sensors, humidity sensors, and electrical compre...
Embodiment 2
[0059] Such as figure 2 As shown, this embodiment is a further description of the method steps in the first embodiment. In this embodiment, step S103 includes:
[0060] S1031. Using the first preset data fusion algorithm, perform information layer data fusion on the information layer feature values to obtain the information layer data fusion result of the sub-fire protection area; wherein, the first preset data fusion algorithm includes weighting Average algorithm, Bayesian estimation algorithm.
[0061] In the specific application, through the first preset data fusion algorithm, the information layer data fusion is performed on the characteristic values of the information layer, and the information layer data fusion results of the sub-fire protection areas are obtained, so as to realize the processing of the same type of fire sensor data, so as to improve the Reliability and accuracy of type fire sensing data. Wherein, the first preset data fusion algorithm includes b...
Embodiment 3
[0072] Such as image 3 As shown, this embodiment is a further description of the method steps in the first embodiment. In this embodiment, step S102 includes:
[0073] S1021. Obtain the average value of the same type of sub-fire sensing data to obtain the characteristic value of the information layer.
[0074] In a specific application, the average value of the sub-fire sensing data of the same type is calculated to obtain the characteristic value of the information layer. For example, if the fire sensing data includes CO concentration, humidity, and temperature, then calculate the average value of all CO concentrations, all humidity values, and all temperature values to obtain the characteristic values of the information layer.
[0075] In this embodiment, the fire sensing data may be preprocessed according to other preprocessing methods. 1. Preset processing method for obtaining change data: obtain the difference between the sub-fire sensing data at the current time ...
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