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Overall fault early warning system and method for fire fighting water system

A fault warning and water system technology, applied in hydraulic/pneumatic fire alarms, alarms, instruments, etc., can solve problems such as lack of detection, evaluation and early warning process, pipe rupture, pressure leakage, etc., and achieve real-time supervision And review the level, improve the fire protection level, and ensure the effect of normal operation

Pending Publication Date: 2022-06-24
上海至冕伟业科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, for fire-fighting facilities such as fire extinguishers, problems such as failures can be effectively avoided through regular replacement of equipment, but for fire-fighting water systems, it is difficult to replace them, and there are still many hidden dangers, including pressure leakage, overpressure, liquid leakage, pipe body On the other hand, according to the data in the fire investigation report, the health of the fire water system equipment plays an extremely critical role in the fire extinguishing effect, so it needs to be tested
[0003] In the existing methods, relevant fire maintenance personnel are usually used to conduct regular fault detection and health monitoring of the fire water system, including manual sampling, statistics, analysis and inspection, etc. Such methods have the following disadvantages: First, It is difficult to ensure the real-time performance of the fire water system at each single point through regular and random inspections by fire maintenance personnel; second, the detection data is recorded and uploaded by personnel, and the data volume is small, lacking a systematic detection, evaluation and early warning process ; Third, due to manual verification, data collection is inefficient and prone to fraud
[0004] In addition, in the current fire water system, although a large number of IoT devices are installed in the water system to detect the hydraulic value of the liquid level of each important node, these data are usually only used to assist maintenance personnel to judge whether the water system is normal. The information contained in the real-time data and historical data of each device has not been fully utilized

Method used

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  • Overall fault early warning system and method for fire fighting water system
  • Overall fault early warning system and method for fire fighting water system
  • Overall fault early warning system and method for fire fighting water system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] like figure 1 As shown in the figure, an overall fault early warning system of a fire fighting water system includes detection sensors, an edge computing gateway and an IoT data center; the detection sensors are arranged in the fire fighting water system; the edge computing gateway is connected with a number of detection sensors and can receive detections from the detection sensors. of real-time data; edge computing gateways are also connected to IoT data centers.

[0052] The fire-fighting water system includes an automatic sprinkler system, a foam fire-extinguishing system, a fire-fighting pool and water tank, and pipes. Water storage is transported to various parts of the building.

[0053] The detection sensor includes a hydraulic sensor and a liquid level sensor, wherein the hydraulic sensor is arranged at the junction, corner and other parts of the pipeline. This part of the pipeline is of great significance to the entire fire water system and is prone to hidden ...

Embodiment 2

[0089] This embodiment is obtained based on the improvement of Embodiment 1. Before the overall fault warning is performed in step 3, the data collected by the detection sensor set at the single point will also be combined according to the X Control Chart method. Complete the fault diagnosis, including the following steps:

[0090] First, it is necessary to obtain the historical data set X of the single-point part in the normal state IC , X IC ={X 1 , X 2 , X 3 ,…,X n }; According to the historical data set X IC get mean data Expressed as:

[0091]

[0092] According to mean data and the historical dataset X IC , the sample standard deviation σ is obtained as:

[0093]

[0094] According to the sample standard deviation, get the upper bound UCL s and the lower bound LCL s , the upper bound UCL s and the lower bound LCL s Expressed as:

[0095]

[0096]

[0097] Among them, the parameter t n-1，α Represents the critical value of the Student t distribu...

Embodiment 3

[0119] This embodiment is obtained based on the improvement of Embodiment 1, wherein in step 3, before the overall fault warning of the fire fighting water system, the overall fire fighting water system is also detected and judged according to the overall data collected by the corresponding fire fighting water system, wherein The judgment method is the Multivariate Shewhart Control Chart method. The process of judgment includes: first, it is necessary to obtain the historical data X of the whole fire water system under normal conditions. Ic ={X 1 , X 2 , X 3 ,…,X n }, for each data variable X i A vector of denoted as X i =[X i1 X i2 …X im ] T , m represents the vector dimension of the data variable, in this case m represents the number of detection sensors in the fire-fighting water system; calculate the mean data Expressed as:

[0120]

[0121] The sample variance S is expressed as:

[0122]

[0123] For the newly obtained data X, the Mahalanobis distance i...

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Abstract

According to the overall fault early warning system and method of the fire fighting water system, real-time fault risk early warning of the whole fire fighting water system in a building is achieved through the MCUSUM Control Chart method, and the algorithm considers the relation between historical data and real-time data at a single point of the Internet of Things water system; the possible fault problem of the whole water system can be quickly and effectively found, and early warning can be given; according to the result feedback of the algorithm, a building unit can be helped to quickly evaluate the overall health condition of the fire-fighting water system, early warning can be given out for possible problems, the aspects needing to be improved in the fire-fighting water system are locked, the social unit is helped to carry out safety risk self-inspection and self-modification of the fire-fighting water system, and the safety of the fire-fighting water system is improved. The fault occurrence rate of fire fighting water systems of all building units during fire extinguishing is reduced, the fire fighting self-rescue capacity of social units is improved, and the real-time supervision capacity of government supervision departments on the safety level of the fire fighting water systems of all the building units is improved.

Description

technical field [0001] The invention relates to the field of firefighting equipment detection and early warning, in particular to an overall fault early warning system and method for a firefighting water system. Background technique [0002] With the improvement of residents' safety awareness, more and more attention is paid to the level of fire safety. In order to improve the level of fire safety in the area, fire water systems and other fire protection facilities are usually set up on the spot, so that firefighters or the masses can quickly obtain firefighting equipment and resources and complete the fire fighting work as soon as possible. Due to the particularity of the use of fire-fighting facilities, it is required to keep the fire-fighting facilities in a usable state, so it is extremely important for the fault detection and early warning of fire-fighting facilities. Among them, for fire-fighting facilities such as fire extinguishers, problems such as failures can be ...

Claims

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Application Information

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IPC IPC(8): G08B21/18G08B17/04G01D21/02A62C37/50
CPCG08B21/18G08B21/182G08B17/04A62C37/50G01D21/02
Inventor 王毅杰郑瑞祥侯林早李冕宫爱科
Owner 上海至冕伟业科技有限公司