An abnormal monitoring method for thermal efficiency of large coal-fired boilers
A coal-fired boiler, abnormal monitoring technology, applied in forecasting, data processing applications, instruments, etc., can solve problems affecting the safe operation of boiler systems
Active Publication Date: 2022-04-29
SHANDONG UNIV OF SCI & TECH
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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
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[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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The invention discloses an abnormal monitoring method for thermal efficiency of a large coal-fired boiler, and specifically relates to the field of industrial process abnormal monitoring. In this method, variables that are closely related to boiler thermal efficiency and can be measured in real time, such as exhaust gas temperature and flue gas oxygen content, are used as key performance indicators, and the abnormal monitoring of boiler thermal efficiency is realized by establishing a correlation model between process variables and key performance indicators. . First, based on the non-stationary common trend between process variables and key performance indicators, an output-related common trend model is established, and these non-stationary variables are expressed as the sum of non-stationary components and stationary components. Then, the parameter estimation problem of the model is described as an optimization problem, which is solved by the method of alternating direction multipliers. Finally, based on the model, three different monitoring statistics are designed, which are respectively used to monitor abnormal conditions related or unrelated to boiler thermal efficiency.
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...
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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