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Integrated fire-fighting Internet of Things monitoring and early warning method

A technology for monitoring, early warning, and fire protection. It is applied to electrical fire alarms, fire alarms and alarms that rely on smoke/gas action, and can solve the problems of poor system self-correction, early warning delay, and poor flexibility. Achieve the effect of reducing security risks, effective transmission, and reducing system power consumption

Active Publication Date: 2022-02-08
深圳中消云智慧安全有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing early warning methods rely too much on manpower, and the system has poor self-correction, poor flexibility and low efficiency, and often has delays in early warning and false alarms.

Method used

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  • Integrated fire-fighting Internet of Things monitoring and early warning method
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  • Integrated fire-fighting Internet of Things monitoring and early warning method

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Embodiment

[0044] EXAMPLOR: Calculated according to Pi The unit is kW, which is used for electricity power in three time periods of each floor within 24 hours; with the floor 1 as an example, Q1 = (10, 25, 15), X1 = (0.5, 1, 0.1), In addition, W1 = (5, 15, 7), according to Wi + XI ≥ Qi calculations in S013, it is obviously not to achieve trigger conditions, according to S014 (Qi> Wi, | Wi-Qi | <xi) calculation is also If the trigger condition is not reached, the terminal will not issue a major alert signal and alert signal.

[0045] It should be noted that in order to improve efficiency and convenient calculation, there is no pre-condition QI ≤ Wi in S013, because a major alert signal is involved in the floor, long-term short circuit, over-electricity event, there is a major security hazard, terminal will After delay, the alarm is delayed to avoid the error caused by the error caused by the system, and the pre-condition is not set. The alert signal is relatively dangerous, and it is necessa...

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Abstract

The invention discloses an integrated fire-fighting Internet of Things monitoring and early warning method. A terminal for inputting, outputting and analyzing data is included, and the method comprises the steps: S010, the terminal obtains an electricity flow record of each floor of a building through any one of a wireless mode, a wired mode and a manual mode, the electricity flow record of each floor is recorded as Pi, and i is the number of floors; and S020, a distribution box of each unit of all floors of a building interacts with the terminal in a wired or wireless mode, the terminal outputs an alert signal after obtaining a tripping signal of the distribution box, an alarm delay time period is set, and the like. The response speed of the early warning system is improved, the labor cost is reduced, the early warning accuracy is improved, adjustment is convenient, and deployment and flexibility are high.

Description

Technical field [0001] The present invention relates to the field of indoor fire risk assessment, in particular, to a fusion type fire network monitoring warning method. Background technique [0002] Fire safety risk assessment refers to the use of scientific and reasonable hazard identification and danger evaluation methods. The purpose of fire, the purpose of fire, to avoid toxic and harmful, flammable and explosive media have leaked vicious accidents. [0003] The existing fire assessment method, for ordinary office buildings, factory buildings are generally monitored indoor, outdoor fire facilities, such as: fire hydrant, fire extinguisher, door gate, alarm and other facilities, and building security personnel's records of fire data. However, the existing early warning method is too dependent on manpower, systematic self-correction, and low flexibility and low efficiency, often a warning delay, and false positives. [0004] Therefore, there is an urgent need to solve the fusi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B17/00G08B17/10G08B17/06H04W4/38A62C37/38
CPCG08B17/00G08B17/10G08B17/06H04W4/38A62C37/38Y02D30/70
Inventor 张海顺
Owner 深圳中消云智慧安全有限公司
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