Fire monitoring method and device and edge computing device

A fire and computer program technology, applied in fire alarms, neural learning methods, instruments, etc., can solve problems such as difficulty in providing fire hazard levels, poor real-time performance, and too simple warning signals, to achieve reliable fire hazard assessment and improve efficiency Effect

Active Publication Date: 2019-04-26
ZDST COMM TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a fire monitoring method, device and edge computing device to solve the probl...

Method used

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  • Fire monitoring method and device and edge computing device
  • Fire monitoring method and device and edge computing device
  • Fire monitoring method and device and edge computing device

Examples

Experimental program
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Effect test

Embodiment 1

[0041] Such as figure 1 As shown, this embodiment provides a fire monitoring method, which can be applied to terminal devices such as mobile phones, PCs, and tablet computers, or edge computing devices specially designed for fire monitoring. The fire monitoring method provided by this embodiment includes:

[0042] S101. Obtain more than two sets of environmental monitoring data;

[0043] In a specific application, two or more sets of environmental monitoring data are obtained; among them, the environmental monitoring data refers to environmental parameters obtained through sensors; sensors include but are not limited to temperature sensors, smoke sensors, oxygen concentration detection sensors, and carbon monoxide sensors; Each set of environmental monitoring data includes but not limited to temperature, oxygen concentration, carbon monoxide concentration, and smoke concentration. It should be noted that the environmental monitoring data can be sorted according to the time w...

Embodiment 2

[0055] Such as figure 2 As shown, this embodiment is a further description of the method steps in the first embodiment. In this embodiment, before step S103, it also includes:

[0056] S201. Acquire environmental monitoring data of historical fire events, and establish sample data according to the environmental monitoring data of historical fire events.

[0057] In specific applications, the environmental monitoring data measured by environmental sensors (such as temperature sensors, smoke sensors, carbon monoxide sensors, etc.) sequence, and calculate the rate of change (rate of rise and rate of decline) of various environmental parameters (such as temperature, smoke concentration, etc.) according to the time series of environmental monitoring data, and can also normalize the environmental monitoring data and rate of change data to establish sample. It is also possible to conduct standard fire experiments in the monitored places, obtain a predetermined number of environme...

Embodiment 3

[0070] Such as image 3 As shown, this embodiment is a further description of the method steps in the first embodiment. In this embodiment, before step S104, it also includes:

[0071] S301. Establish a correspondence between the decision result and the warning information.

[0072] In a specific application, a corresponding relationship between the decision result and the warning information is established. For example, if the decision result is fierce fire stage-advanced danger level, the corresponding warning message is that the fire is fierce now, please evacuate the fire scene immediately.

[0073] In this embodiment, by establishing the corresponding relationship between the decision result and the warning information, the corresponding warning information can be issued when the decision result is obtained, so as to remind the user to execute the countermeasures corresponding to the warning information, thereby ensuring the safety of the user.

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Abstract

The invention is applied to the technical field of fire monitoring, and provides a fire monitoring method and device and an edge computing device. The method comprises the steps that two or more groups of environmental monitoring data are obtained, according to time series of the environmental monitoring data, the environmental monitoring data is preprocessed, the preprocessed environmental monitoring data is obtained, the preprocessed environmental monitoring data is input into a pre-training machine learning model, decision results output by the pre-training machine learning model are obtained, and according to the decision results, corresponding warning information is sent to a user terminal. The fire monitoring method and device and the edge computing device have the advantages that the edge computing device is utilized to run the machine learning model to perform data fusion on the environmental monitoring data to calculate the danger level of fire to achieve real-time, objective,safe and reliable fire risk assessment; meanwhile, according to the fire status, the corresponding warning information is sent, thereby providing a real and reliable decision-making basis for fire-fighting and rescue personnel, and improving the efficiency of fire-fighting and rescue operation.

Description

technical field [0001] The invention belongs to the technical field of fire monitoring, and in particular relates to a fire monitoring method, device and edge computing device. Background technique [0002] Existing fire monitoring systems can only provide simple warning signals. For example, the most common fire alarms can only sound the same alarm bell no matter how dangerous the fire is. Therefore, it is difficult for the commander of fire fighting and rescue operations to understand the real danger of the fire. To a certain extent, there is no way to make arrangements for evacuation and fire fighting based on these simple warning information, which affects the efficiency of disaster relief operations. Moreover, if it is necessary to assess the degree of fire danger, relevant personnel are often required to make judgments on the fire situation at the fire scene. The judgment results are relatively subjective and may pose a threat to the safety of personnel. [0003] On t...

Claims

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Application Information

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IPC IPC(8): G08B17/00G06N3/04G06N3/08
CPCG06N3/084G08B17/00G06N3/044
Inventor 王元鹏
Owner ZDST COMM TECH CO LTD
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