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A kind of flue fly ash constant velocity sampling system and control method based on bp neural network

A BP neural network, isokinetic sampling technology, applied in sampling device, electrical program control, program control in sequence/logic controller, etc. The problem of low sampling accuracy is to achieve the effect of improving sampling accuracy, strong data processing ability and small calculation error.

Active Publication Date: 2017-05-17
马鞍山市安尼特自动化科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to solve the problem that the opening of the valve for adjusting the static pressure at the sampling nozzle lags behind the static pressure change at the sampling point during constant-velocity fly ash sampling, the calculation error of the carbon content of the fly ash is large, and the data processing ability is not strong. And the problem that sampling accuracy is not high, provide a kind of flue fly ash constant velocity sampler and flue fly ash constant velocity sampling system and control method based on BP neural network; The present invention can effectively solve constant velocity sampling hysteresis problem, It has the characteristics of small calculation error and high efficiency

Method used

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  • A kind of flue fly ash constant velocity sampling system and control method based on bp neural network
  • A kind of flue fly ash constant velocity sampling system and control method based on bp neural network
  • A kind of flue fly ash constant velocity sampling system and control method based on bp neural network

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Embodiment Construction

[0043] The technical scheme of the present invention is further introduced below in conjunction with accompanying drawing and specific embodiment:

[0044] like figure 2 , image 3 As shown, a flue fly ash constant velocity sampler includes a sampling nozzle 1, a sampling pipe 2, a cyclone separator 10 and a sampling bottle 11, and also includes an injection pipe 3, a regulating nozzle 4 and an exhaust pipe 5. The sampling nozzle 1 is located at one end of the sampling pipe 2, and the other end of the sampling pipe 2 is connected with the cyclone separator 10; the ejector pipe 3, the regulating nozzle 4 and the exhaust pipe 5 are connected in sequence; the exhaust pipe 5 is separated from the cyclone The device 10 is connected; the cyclone separator 10 is connected with the sampling bottle 11. The inside of the sampling tube is provided with a first cavity, and the inside of the sampling tube is also provided with a second cavity, and the opening of the second cavity commun...

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Abstract

The invention discloses a flue fly ash constant-speed sampling device as well as a flue fly ash constant-speed sampling system based on a BP neural network and a control method, and belongs to the field of detection of flue fly ash. The flue fly ash constant-speed sampling device comprises a sampling nozzle, a sampling pipe, a cyclone separator, a sampling bottle, an ejector pipe, an adjusting nozzle and an exhaustion pipe. The flue fly ash constant-speed sampling system based on the BP neural network comprises a sampling device, a PLC controller, an executor, a pressure sensor and a BP neural network module. The control method of the flue fly ash constant-speed sampling system based on the BP neural network is characterized in that the flue fly ash constant-speed sampling is realized based on the BP neural network, and flue static pressure approach to the actual pressure is predicted by using mass data which are measured in real time, so that the problem of hysteresis quality of the constant-speed sampling is solved, the sampling accuracy is improved, and the advantages of small calculation errors, high data processing ability and low design cost are achieved.

Description

technical field [0001] The invention relates to the field of flue fly ash detection, in particular to a flue fly ash constant velocity sampler, a flue fly ash constant velocity sampling system and a control method based on a BP neural network. Background technique [0002] For modern thermal power generation units, the carbon content of fly ash is an important indicator reflecting the combustion efficiency of coal-fired boilers in thermal power plants. Accurate and real-time monitoring of carbon content in fly ash is conducive to improving the level of boiler combustion control and reducing power generation costs , improve the economy of unit operation. At present, the flue ash sampling method of the combustion boiler in the power plant adopts the static pressure balance constant velocity fly ash sampling method, because when the sampling speed is equal to the flow rate of the flue fly ash, the sampling is representative, which is beneficial to analyze the combustion perform...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N1/22G05B19/05
Inventor 冯旭刚钱家俊
Owner 马鞍山市安尼特自动化科技有限公司
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