Intelligent electrical fire early warning system and method for tobacco warehouse

Abstract

The invention discloses an intelligent electrical fire early warning system and method for a tobacco warehouse, comprehensive and real-time key parameter monitoring and analysis are achieved, and due to the fact that multi-factor coupling comprehensive early warning is adopted, the problem that the threshold value of a single factor is not accurate in the past is solved; according to fire risk key influence factor data monitored in real time, comprehensive analysis is carried out through the established electrical fire comprehensive risk prediction model based on the fuzzy comprehensive evaluation theory and the BP neural network technology, the risk occurrence possibility and the risk consequence severity quantized value are determined, and finally an electrical fire comprehensive risk level value is determined. In addition, the system has self-learning and self-perfection functions, and the purpose of high-precision and high-reliability risk prediction can be achieved.

Description

technical field [0001] The invention belongs to the technical field of fire early warning, and in particular relates to an intelligent electrical fire early warning system and method for a tobacco warehouse. Background technique [0002] For the tobacco industry, safe operation is a problem that cannot be ignored, especially the safety of electrical systems in industrial production plants, storage places and office places is a top priority. In recent years, fire accidents caused by electrical lines and devices have occurred frequently at home and abroad, causing innumerable casualties and property losses. In view of the suddenness and concealment of electrical fires, electrical fire monitoring systems have been widely used in the safety production supervision process of the tobacco industry. [0003] The existing electrical fire monitoring system in the tobacco industry mainly has the following problems to be solved urgently: [0004] 1) The fire monitoring system is an em...

AI Technical Summary

Problems solved by technology

At present, the release of alarm information of the electrical fire monitoring system adopted by tobacco companies is based on the detection of smoke or flames. It is not an early warning system for serious fire hazards before a fire occurs, but only for emergency response. role, but failed to achieve the purpose of prevention in advance

[0005] 2) The monitoring system with primary early warning function is a single parameter monitoring, the alarm limit value is not dynamically changed, and the false alarm rate is high

At present, the electrical systems in tobacco warehouses, factories, and related office buildings are facing the phenomenon of gradual aging with the passage of time. The measures taken by enterprises are to regularly monitor relevant data such as current or temperature, and once the limit is exceeded, rectification, etc. To prevent and control the fire in advance, this has achieved a certain effect, but this technology fails to take into account the complexity and contingency of the fire. The above-mentioned data monitoring is a data island, resulting in poor accuracy and false alarms high rate

[0006] 3) The operating status of the monitoring system is highly affected by human factors, and timely emergency response cannot be achieved

Due to the high rate of false alarms in the current fire monitoring system, most of them are set to manual by the user unit or personnel, managed by on-duty security personnel, and the on-duty security personnel are usually dispatched by security companies outsourced by enterprises. Due to reasons such as rising, on-duty security guards have high mobility, most of the on-duty security guards have insufficient on-the-job training, and poor daily management and emergency response. When a fire really breaks out, the best emergency response time to eliminate the fire is only 3- 5 minutes, in the case of a manual alarm, it is basically impossible to make the most correct and fastest response within 3-5 minutes with the quality of the current security guards

[0007] To sum up, the current electrical fire monitoring system commonly used in the tobacco industry still has many problems, such as low alarm accuracy, frequent false alarms, missed alarms or even no alarms; Prediction of comprehensive fire risk level based on operating status detection data can only play a role in emergency response to accidents, but cannot achieve the purpose of early warning and early prevention. It is greatly affected by human factors of operators and users, and cannot realize timely emergency response to accidents. The role of disposal

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