The Analysis and Application of the Monitor Model of Gasifier Temperature Based on the PSO Neural Network

The coal gasification technology is widely used in industrial production, but in its production process, there exists a tough problem that the gasified temperature is not easy to detect and monitor. This paper proposes the approach of pso neural network, the neural network optimized by the particle swarm optimization(pso), and it adopts soft-sensing technique for real time detection and monitoring. Therefore, the goal of improving the efficiency of production and providing the control decision can be realized.