Analytical Research Of Harmful Gas Concentration Monitoring And Health Status Aiming At Power Station Fuel Repository

In the operation process of power plant of China, it is unavoidable that large quantity of heavy oil or diesel is used, oil likely to be volatile harmful gases, can easily lead poisoning, and even cause fire accidents,the consequences could be disastrous. Power station fuel repository is to store flammable, volatile, easy to loss of oil field. The volatilization of oil is an important reason for the accident of the power station, in order to prevent fire hazards and poisoning accidents due to excessive concentration of harmful gases brought, the need for the health of the power station fuel repository will be timely and accurate analysis and research, which for the safety of the power plant is of great significance.This paper analyzes the current detection methods for harmful gas at home and abroad, combined with the actual situation of power plant fuel repository, designs an online monitoring system for harmful gas concentration in power station fuel repository base on multi-sensor data fusion algorithm, achieves the analysis and research on the health status of power station fuel repository. The system uses three intelligent, the use of advanced embedded technology, sensor technology, low-power technology, 433 MHz radio frequency transmission technology, CAN bus communication technology to achieve the monitoring station bunker harmful gases. One-level intelligent system consists of sub-nodes, mainlyresponsible for collecting H2 S, CO, SO2 and fuel storage temperature and humidity data, and share data via radio frequency to a secondary network intelligent peripheral. Two-level intelligence system consists of repeater,achieves the convergence of the sub node data, and the use of CAN bus technology to the convergence of data transmission to the three-level intelligence system. Three-level intelligence system is composed of the monitoring center, monitoring center online real-time monitoring of the concentration of harmful gas in the power station fuel repository and the temperature and humidity of the oil depot. By analyzing the data of each sensor, the health status of the power station fuel repository is obtained.When the harmful gas concentration exceeds the allowable value, the system will set up the air exhaust device according to the program, reduce the concentration of harmful gas in the power station fuel repository, and send out alarm information.The research content of this paper can be divided into the following main points:(1) Access to relevant information, analysis of the existence of the power station fuel repository of the existing security risks and the detection of harmful gases at home and abroad, described the harmful gas concentration monitoring system for thermal power plant safety is of great significance.(2) The data fusion algorithm is introduced, then according to the power station fuel repository of the actual situation and the requirement of the system, designs online monitoring system for harmful gas concentration in power station fuel repository base on multi-sensor data fusion algorithm, achieves the analysis and research on the health status of power station fuel repository, and introduces in detail the system theimplementation process is introduced.(3) Design and verify the hardware circuit monitoring system,including the power supply system, MCU control circuit, Emulator board,RF circuit, CAN bus circuit and a data acquisition and signal conditioning circuitry, and analyze the performance parameters of some of the major components.(4) This paper introduces the software design of the whole system,which is mainly divided into two parts, the software design of the microprocessor and the design of the software of the monitoring center server.