Process industry energy consumption optimization decision-making system and operation method thereof for improving accuracy of evaluation result under abnormal working condition

Abstract

The invention relates to a process industry energy consumption optimization decision-making system and an operation method thereof for improving the accuracy of an evaluation result under an abnormal working condition. The process industry energy consumption optimization decision-making system comprises a user parameter configuration module, a modeling analysis module, a product service release module and a decision analysis visualization module, the user parameter configuration module can automatically obtain related parameters from the template analysis code and generate a visual configuration interface to improve the usability and generalization ability of the system; the modeling analysis module can extract normal working condition data from historical data by using a machine learning method, construct an energy consumption analysis model to evaluate whether the energy consumption of the current point is abnormal or not and calculate the energy-saving lifting space of the current point; on the premise of not changing an existing production mode and an equipment working state, not increasing extra measuring points and not influencing normal production, the production energy consumption condition of the current point is evaluated through a machine learning method, energy consumption early warning information, energy consumption lifting space and energy-saving operation guiding suggestions are obtained, and optimal energy-saving strategy suggestions are given.

Description

technical field [0001] The invention relates to a process industry energy consumption optimization decision-making system and an operation method for improving the accuracy of evaluation results under abnormal working conditions. Background technique [0002] Process industries are mostly high-energy-consuming industries. Taking the cement industry as an example, according to incomplete statistics, China’s cement energy consumption accounts for about 2% of the world’s total energy consumption and 7% of the country’s total energy consumption. It is the top priority for the development of cement enterprises. [0003] In the foreseeable future, the energy consumption of my country's cement industry will be unprecedented. How to effectively analyze the energy consumption in the production process and tap the energy-saving potential is a very meaningful thing for the harmonious development of economy and ecological environment. [0004] The production process of the process indu...

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Problems solved by technology

[0004] The production process of the process industry has complex randomness and dynamic time-lag. Traditional management methods are often difficult to tap the energy-saving potential according to the changed working conditions, and the use of traditional data analysis methods to analyze the energy-saving potential of equipment can no longer meet the needs of production. There is a need for analysis of a large amount of energy consumption data and working condition data; although many manufacturers in the market have launched optimized energy-saving systems with their own characteristics, which can solve some problems of energy consumption monitoring and statistics; however, as enterprises focus on energy conservation and emission reduction and There is a wider and more urgent demand for energy-saving services. The analysis and diagnosis module of the existing energy-saving system cannot achieve a better effect of energy saving and consumption reduction, and urgently needs to be resolved.

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