Ultra supercritical unit high temperature superheater wall temperature prediction method based on neural network

A technology of ultra-supercritical units and high-temperature superheaters, which is applied in the direction of temperature control using electric methods, and can solve problems such as large prediction errors and control influences
CN110531797AInactive Publication Date: 2019-12-03HUADIAN POWER INTERNATIONAL CORPORATION LTD

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
HUADIAN POWER INTERNATIONAL CORPORATION LTD
Publication Date
2019-12-03
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention belongs to the field of power plant safety control systems, and particularly relates to an ultra supercritical unit high temperature superheater wall temperature prediction method basedon a neural network. The ultra supercritical unit high temperature superheater wall temperature prediction method based on the neural network is characterized by comprising the following steps of (1)building a temperature measuring system; (2) utilizing a back propagation algorithm for predicting, building a neural network structure, preprocessing data, building a training model, and obtaining aprediction model; (3) after standardizing a validation set, bringing into the trained prediction model, carrying out model measurement on the data, finally obtaining a prediction value of the validation set, comparing the prediction value of the validation set with an actual value of the validation set, and obtaining a residual error; and (4) utilizing guiding fault early warning. A hearth inner wall temperature prediction model is built by adopting a BP neural network, the potential faults of the equipment are further identified, and the state prediction of unconventional monitoring equipmentsuch as a high-temperature superheater is realized.
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Description

technical field

[0001] The invention belongs to the field of power plant safety control systems, and in particular relates to a method for predicting the wall temperature of a high-temperature superheater of an ultra-supercritical unit based on a neural network. Background technique

[0002] Tube burst in superheater of large thermal power unit is one of the important reasons for unplanned shutdown. The causes of superheater tube bursting are very complicated, mainly including: (1) superheater tubes are operated at high temperature for a long time, and the inner wall of the tube produces scale, which accumulates at the elbow of the tube and causes tube bursting; (2) superheater tubes are exposed to high temperature for a long time (3) The pipe wall is frequently overheated for a short time during the operation of the unit, which reduces the design life and safety margin of the pipe; (4) The temperature distribution of the pipe row and pipe section along the width and depth o...

Claims

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