Empirical Study on Dust Distribution and Prevention in Thermal Power Plant Based on Big Data and Cloud Computing

In order to reduce the dust concentration in front of the boiler room in thermal power plants, a dust distribution monitoring system for thermal power plants based on cloud computing and big data technology was proposed. With real-time dust distribution data monitoring as the core, the system realizes the unified management of information collection and information receiving, storage, analysis and processing on a system platform, avoiding the independent operation of each system; The system can monitor the dust distribution status in a timely and effective manner, and realize the information interaction among the monitoring plan, monitoring implementation, monitoring summary, monitoring report and project management module, thus forming the information integrated management of the collection work. After analyzing and testing the generation process, concentration value and free silica content of dust in thermal power plants, the results show that the dust concentration value increases with the increase of boiler height. The average dust concentration value detected at the top of the boiler is 7.42 mg/m3, which is higher than the average dust concentration value of 4.21 mg/m3 in the middle of the boiler and 3.85 mg/m3 at the bottom. Therefore, the effective prevention and control of dust hazards in thermal power plants should be carried out in strict accordance with relevant national regulations.