Mechanism and brain-like intelligence combined online soft measurement method for quality of coal as fired of power plant

A technology for soft measurement and coal quality, which is applied in the field of online soft measurement of coal quality in power plants, which can solve the problems of inability to analyze coal quality components online in real time, the representativeness of samples may not be guaranteed, and the optimal control of thermal power units with refractory coal.
CN110647560AActive Publication Date: 2020-01-03SHANXI SANHESHENG IND TECH +1

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
SHANXI SANHESHENG IND TECH
Publication Date
2020-01-03

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a mechanism and brain-like intelligence combined online soft measurement method for quality of coal as fired of a power plant.. The method comprises the steps of collecting monitoring data of 190 conventional monitoring points in real time; and extracting original principal component characteristics of the monitoring data, inputting the original principal component characteristics into a pre-established online soft measurement model of the coal as fired of the thermal power plant, and outputting soft measurement values of online element components and industrial components of the coal as fired. Under the condition of not adding any hardware facility, real-time and accurate online soft measurement of the quality components of the coal as fired can be realized, and areal-time online basis can be provided for combustion optimization, intelligent control and decision making of a thermal power plant; in addition, the method utilizes real-time data of conventional monitoring points of a thermal power plant to realize soft measurement of coal quality of as-fired coal and five element components and four industrial components at the same time; wherein the soft measurement absolute error of each component is less than 1%, and the soft measurement time is less than 1 second.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of smart power plants and artificial intelligence, in particular to an online soft measurement method for coal quality in a power plant that combines a mechanism with brain-inspired intelligence. Background technique

[0002] At present, the analysis of the industrial and elemental components of coal quality mainly relies on the power plant operators to regularly sample and test the raw coal every 8 hours and every day. This method has the following shortcomings: the sampling process of raw coal is a random process, and the representativeness of the samples is not good. It must be guaranteed; the raw coal testing process is carried out regularly every day, the minimum period is 8 hours, and the coal composition cannot be analyzed online in real time, and the regular test value is used instead of the 8-hour average value, and there is a certain deviation; the elemental composition and industrial composition of a batch o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More