Gas concentration concluding method of boiler equipment and gas concentration concluding apparatus

Abstract

This invention provides a gas concentration concluding method of a boiler equipment, making use of a neural network to conclude the concentration of the gas component exhausted from the boiler equipment, and making use of the neural network used by a plurality of neural networks prepared for each coal category and the neural network for judging the coal category proportion to conclude. The invention further provides a gas concentration concluding apparatus of the boiler equipment, making use of the neural network to conclude the concentration of the gas component exhausted from the boiler equipment, a, comprising a summate which makes use of the neural network used by a plurality of neural networks prepared for each coal category, the neural network for judging the coal category proportion and the mixed proportion concluded by the neural network for judging the coal category proportion to do weighted average to the concluded value of the gas concentration exported a plurality of neural networks prepared for each coal category.

Description

[0001] This application is a divisional application of the application with the application number 2007101964803, the application date is December 5, 2007, and the invention title is "control device for boiler equipment and gas concentration estimation device". technical field [0002] The present invention relates to a control device for a boiler plant. In addition, the present invention relates to estimating the concentration of gas components of a coal-fired boiler, particularly CO concentration, NO X Concentration methods and apparatus. Background technique [0003] In the field of equipment control, the control logic based on PID control has always been the mainstream. In addition, many technologies have been proposed that can flexibly respond to the characteristics of equipment through a learning function with teaching represented by a neural network. [0004] In order to configure a control device using a learning function with teaching, it is necessary to prepare s...

AI Technical Summary

Problems solved by technology

That is, there is a danger of becoming a local optimal solution in which the learning result depends on the model characteristics

[0021] In addition, the techniques described in Japanese Patent Application Laid-Open No. 2000-35956 and the like do not disclose or hint at the safe and stable operation and control of the control object, and at the same time obtain the optimal solution.

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