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Abnormal monitoring method for heat efficiency of large coal-fired boiler

A technology for coal-fired boilers and abnormal monitoring, which is used in forecasting, instrumentation, complex mathematical operations, etc., and can solve problems affecting the safe operation of boiler systems.

Active Publication Date: 2020-11-06
SHANDONG UNIV OF SCI & TECH
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  • Abstract
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  • Application Information

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Problems solved by technology

However, although some abnormalities do not affect the boiler thermal efficiency and these key performance indicators, they may affect the safe operation of the boiler system, and they should also be paid attention to

Method used

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  • Abnormal monitoring method for heat efficiency of large coal-fired boiler
  • Abnormal monitoring method for heat efficiency of large coal-fired boiler
  • Abnormal monitoring method for heat efficiency of large coal-fired boiler

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Experimental program
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Embodiment Construction

[0101] The specific embodiment of the present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

[0102] combine figure 1 , An anomaly monitoring method for thermal efficiency of large coal-fired boilers, including an offline training phase and an online monitoring phase.

[0103] The offline training phase is specifically:

[0104] 1.1.1. Collect historical data of large coal-fired boilers under normal operating conditions, including process variables and KPI data Among them, N is the number of samples in the historical data set, m is the number of variables measured by the process, and n is the number of variables of the key performance indicators.

[0105] 1.1.2. Based on the non-stationary common trend between process variables and key performance indicators, a common trend model related to output is established, as shown in formula (1):

[0106]

[0107] Among them, S and T represent the non-stationary com...

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Abstract

The invention discloses a large coal-fired boiler thermal efficiency anomaly monitoring method, and particularly relates to the field of industrial process anomaly monitoring. According to the method,variables such as the exhaust gas temperature and the flue gas oxygen content which are closely related to the boiler heat efficiency and can be measured in real time serve as key performance indexes, and abnormal monitoring of the boiler heat efficiency is achieved by establishing a correlation model between process variables and the key performance indexes. Firstly, based on a non-stationary common trend existing between process variables and key performance indexes, an output-related common trend model is established, and the non-stationary variables are expressed as the form of the sum ofnon-stationary parts and stationary parts. Secondly, describing a parameter estimation problem of the model as an optimization problem, and solving the optimization problem by using an alternating direction multiplier method; finally, three different monitoring statistics are designed based on the model and used for monitoring abnormal conditions related or irrelevant to the boiler heat efficiency respectively.

Description

technical field [0001] The invention belongs to the field of abnormal monitoring of industrial processes, and in particular relates to an abnormal monitoring method for thermal efficiency of large coal-fired boilers. Background technique [0002] Large-scale thermal power generation units are highly efficient power generation equipment, which occupy a large proportion of thermal power generation capacity. The thermal power generation unit strives to generate electricity with high efficiency and low energy consumption, and the thermal efficiency of the boiler is the main performance index to measure the economical operation of the thermal power generation unit. According to the boiler performance test regulations, some necessary parameters needed to calculate the thermal efficiency of the boiler cannot be measured in real time, such as the coal quality parameters of the pulverized coal fed into the furnace. Although many simplified calculation models have been applied to the...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06F17/16
CPCG06Q10/04G06Q10/0639G06Q50/06G06F17/16
Inventor 周东华陈茂银吴德浩朱继峰闫飞郑水明郭恩陶纪洪泉徐晓滨
Owner SHANDONG UNIV OF SCI & TECH