Biomass safety management and control intelligent integrated system

Abstract

The invention relates to a biomass safety management and control intelligent integrated system, which comprises a monitoring area data acquisition terminal, a safety management and control center anda cloud; the monitoring area data acquisition terminal comprises a temperature monitoring acquisition terminal, a video monitoring system terminal, a fire detection system terminal, an entrance guardcontrol system terminal and an automatic fire monitor terminal, and is used for acquiring monitoring data of the biomass stock ground and transmitting the acquired monitoring data to the safety management and control center; the safety management and control center is used for carrying out stock ground stacking temperature dynamic monitoring and alarming, video monitoring, automatic fire detectionand alarming, fuel and worker entrance management and control, human-vehicle cross operation safety protection and automatic fire extinguishing of a fire monitor according to the monitoring data; andthe cloud is used for storing monitoring information related to the biomass stock ground. According to the invention, dynamic monitoring and alarming, video monitoring, automatic fire detection and alarming, fuel and worker entrance management and control, human-vehicle cross operation safety protection and automatic fire monitor extinguishing of the stockyard stacking temperature can be achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent safety management and control, and in particular relates to an intelligent integrated system of biomass safety management and control. Background technique [0002] Biomass power plants are different from traditional thermal power plants. They mostly use straw, rice husk, waste from woodworking factories, and packaging materials as fuel. The risk of fire is much higher than that of thermal power plants. At present, there are still many problems in the safety management and control of biomass farms. For example, the temperature measurement method of the fuel stack is uncontrollable, relying on manual temperature measurement and video monitoring and observation, and when an external fire source ignites a fire in the dry material shed and stack, the fire cannot be detected in time; The response time of artificial fire hydrants is slow, and it is difficult to extinguish the fire. At the same time...

AI Technical Summary

Problems solved by technology

For example, the temperature measurement method of the fuel stack is uncontrollable, relying on manual temperature measurement and video monitoring and observation, and when an external fire source ignites a fire in the dry material shed and stack, the fire cannot be detected in time; The response time of artificial fire hydrants is slow, and it is difficult to extinguish the fire. At the same time, the working environment of the operating vehicles in the material yard is harsh, the dust is large, and the driver's sight distance is limited. It is easy to cause scratches and collisions due to fatigue, blind spots, reversing, and steering. , rolling and other vicious accidents, there is a greater safety risk

[0003] According to the current situation of fire management and control in the material yard of biomass power plants and the existing safety problems, it can be seen that the only fire protection facilities are independent of each other, and the communication and scheduling of each system needs to be completed manually, which has low efficiency and takes a long time to respond to emergency rescue. And it is impossible to get accurate data on the spot at the first time; according to the characteristics of biomass combustion, once a fire occurs, the flame spreads quickly, and it is mainly dependent on personnel to judge and implement the next step according to the situation of the alarm, which will easily cause unnecessary economic losses. , so it is necessary to have a unified management and control automation system platform for complete management, monitoring and control

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