A heat consumption analysis method of cement kiln system combining data-driven and data mining

A data mining and data-driven technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of single consideration or angle, analysis, energy saving space reduction, etc.

Active Publication Date: 2019-06-07
WUHAN UNIV OF TECH
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Problems solved by technology

[0009] At present, most of the heat consumption analysis of the kiln system is based on the clinker calcination process; although the important link of clinker calcination is grasped, it does not take into account the national energy control and norms, industry norms, cement plant energy-saving management, production management, etc. Combining many factors to systematically analyze the influencing factors and models of kiln system heat consumption
Therefore, it is difficult to comprehensively analyze and measure the heat consumption of kiln systems in cement enterprises
[0010] Due to the different kiln system configurations, there are few existing data for analyzing the heat consumption of the kiln system, and the calculation method of heat consumption is relatively simple; at the same time, the energy-saving space for the technical improvement of the kiln system itself has been decreasing, and there is no detailed management of the kiln system. Conduct a comprehensive analysis of the factors affecting heat consumption in order to effectively monitor the heat consumption in kiln system production
[0011] The heat consumption analysis method in the kiln system production is relatively simple, and the factors or angles considered are relatively single, so it is difficult to analyze the heat consumption of the kiln system from multiple angles and factors

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  • A heat consumption analysis method of cement kiln system combining data-driven and data mining
  • A heat consumption analysis method of cement kiln system combining data-driven and data mining
  • A heat consumption analysis method of cement kiln system combining data-driven and data mining

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Embodiment Construction

[0104] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0105] In the prior art, the fuzzy PID algorithm is used to design the controller, its anti-interference ability is weak, the stabilization time is relatively long, and the control accuracy is not high enough;

[0106] In the existing technology, the principle of mechanism modeling is used to establish a mathematical model, and then to perform predictive control, which can only analyze a part but not the entire kiln system.

[0107] The cement kiln system heat consumption analysis method combined with data-driven and data mining provided by the embodiment of the present invention includes:

[0108] Using data mining and mach...

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Abstract

The invention belongs to the technical field of cement industry. A heat consumption analysis method of a cement kiln system combining data driving and data mining are disclosed. The method uses data mining and machine learning technology, analyzes the different factors affecting heat consumption of kiln system in cement production from different angles and different granularity, reflects the working condition and heat consumption of thermal equipment in kiln system in real time, and establishes the corresponding kiln system heat consumption model by hour, kiln system heat consumption model byday, kiln system heat consumption model by week; the method optimizes the parameters to perform heat consumption data analysis in the production process of the cement kiln system. The invention performs analysis of the different factors affecting heat consumption of kiln system in cement production from different angles and different granularity, reflects the working condition and heat consumptionof the main thermal equipment in kiln system, and establishes the corresponding heat consumption model, so that cement enterprises can adjust the corresponding production strategy according to the actual production of cement enterprises, in order to reduce coal consumption and achieve the purpose of energy saving.

Description

technical field [0001] The invention belongs to the technical field of cement industry, and in particular relates to a method for analyzing heat consumption of a cement kiln system combined with data driving and data mining. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] As a high-energy-consuming industry, the cement industry has become the only way for the cement industry to survive and develop under the circumstances of resource shortage, energy crisis and vigorous advocacy by government management departments to achieve energy conservation and emission reduction. Therefore, the work of energy conservation and emission reduction in the cement industry is urgent. [0004] Clinker calcination is the most important process link affecting heat consumption in cement production, which consumes a lot of energy and heat loss. [0005] At present, there are few projects that systematically analyze the t...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 宋华珠危欢牟俊周明凯赵青林吴钧宇
Owner WUHAN UNIV OF TECH
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