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Online soft measurement method

A soft measurement, practical measurement technology, used in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2015-07-08
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0009] Aiming at the defects existing in the prior art, the present invention provides an online soft measurement system to predict the flue gas temperature at the furnace exit of the coal-fired boiler, which overcomes the shortcomings of accuracy and time in the existing soft measurement technology for the flue gas temperature at the furnace exit, and can On-line continuous monitoring of the average temperature of the furnace outlet section under a wide range of load changes

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Embodiment Construction

[0066] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0067] Such as figure 1 As shown, this embodiment includes: coal mill 1, steam drum 2, downpipe 3, water wall 4, secondary air 5, primary air 6, panel superheater 7, high temperature superheater 8, high temperature reheater 9 , Low temperature superheater 10, low temperature reheater 11, economizer 12.

[0068] The boiler is a 300MW subcritical, natural circulation, intermediate reheating, double arch single furnace, "W" flame combustion mode, solid slag discharge, all steel frame suspension coal-fired drum furnace.

[0069] Step 1: Obtain the actual operating data of the boiler through the DCS system of the coal...

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Abstract

The invention provides an online soft measurement method. The method comprises the following steps: acquiring operating data as a sample sequence; building a CM-LSSVM-PLS online soft measurement predicting model to train the model; using a model prediction measured value, and dynamically updating the model if a prediction error does not meet the requirements. According to the online soft measurement method provided by the invention, the measured value can be predicted by a CM-LSSVM-PLS method, the prediction precision can be improved, and the modeling time can be reduced; furthermore, the prediction precision can be further improved by dynamically updating the model; meanwhile, the matrix inverse operation can be carried out by a simple matrix, an algorithm is relatively simple, a result can be quickly calculated, and the model can be ensured to be applicable to online monitoring requirements; in addition, the soft measurement system is driven by real-time data, the model can be continuously updated according to the real-time data, and the online soft measurement method has the advantages of being likely to acquire data, low in extra hardware investment, high in model prediction precision, strong in self-adaption and the like.

Description

technical field [0001] The invention relates to a cross-technical field of thermal technology and computer monitoring, in particular to an online soft measurement method, an online soft measurement method for flue gas temperature at the furnace outlet of a coal-fired boiler under full load based on a least squares support vector machine. Background technique [0002] The flue gas temperature at the furnace outlet is the temperature of the flue gas at the furnace outlet. The online soft measurement system is used to measure the temperature distribution of the furnace outlet section of large power plant boilers. It is the turning point of radiation heat transfer and convective heat transfer in boilers. It has always been very important in boilers. A variable that affects the safe and stable operation of the boiler and the overall efficiency. [0003] The temperature of the flue gas at the outlet of the furnace directly affects the thermal efficiency of the boiler. If the temp...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 王景成刘正峰史元浩张浪文王博辉
Owner SHANGHAI JIAO TONG UNIV
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