Multi-dimensional simulation analysis system and method thereof for user energy efficiency evaluation

Abstract

The invention relates to a multi-dimensional simulation analysis system for user energy efficiency evaluation. Each energy user is provided with the system which is used for carrying out multi-dimensional simulation analysis for user energy efficiency data and realizing evaluation analysis and economization management for user energy efficiency. Primary techniques for the multi-dimensional simulation analysis system for the user energy efficiency evaluation include manual inference learning, data mining, and fuzzy Petri network simulation. The system comprises a data interface module, a data rough-processing module, an energy efficiency analysis model management module and an energy efficiency multi-dimensional simulation analysis module, wherein the data interface module is in communication linkage with the data rough-processing module, and the data rough-processing module is in communication linkage with the energy efficiency analysis model management module and the energy efficiency multi-dimensional simulation analysis module. The multi-dimensional simulation analysis system for user energy efficiency evaluation is capable of greatly improving accuracies of energy efficiency analysis and evaluation result, and is applicable to various energy consumers, energy consuming types and energy consuming industry fields.

Description

technical field [0001] The invention relates to a multi-dimensional simulation analysis system, and more specifically relates to a multi-dimensional simulation analysis system oriented to user energy efficiency evaluation. Background technique [0002] With the increase of global energy consumption, greenhouse gas emissions are increasingly threatening global environmental security and climate security. Limiting carbon emissions and slowing down the deterioration of the environment and climate caused by greenhouse gas emissions have become a worldwide topic that is more important than alleviating the global energy supply and demand crisis. [0003] my country's economy has grown rapidly, and various constructions have made great achievements, but it has also caused huge waste of resources and environmental damage. The contradiction between the two has become increasingly acute, and the masses have responded strongly to environmental pollution. This situation is directly rela...

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Problems solved by technology

[0005] At present, my country has already had basic monitoring of the energy efficiency of energy users such as enterprises, businesses, buildings, and households, but the advanced application, mining and evaluation of energy consumption data There is basically no or less, and the measurement of sub-item energy consumption is even more lacking. The split data of energy consumption with human subjective factors is unreliable, and energy consumption problems cannot be effectively found, resulting in decision-making deviations

For the processing of energy consumption data, there is also a lack of basic data platforms and effective analysis methods. Some existing analysis methods can only target individual equipment, enterprises or production lines, and lack energy-efficient economic management and Analysis and evaluation methods, the actual effects of various energy-saving measures cannot be objectively reflected and evaluated, and there is a lack of evaluation methods

[0006] Commonly used equipment for small and medium-sized enterprises, such as: boiler steam system, water pump, fan and air compressor and other motor systems, lighting system, air conditioning system, established some corresponding Efficiency calculation and energy-saving analysis models, but the lack of relevance and generality among various algorithms, models and systems, resulting in narrow application, complex use, high professional requirements, and cannot support the entire enterprise, users or multiple industries The comprehensive energy efficiency analysis and evaluation cannot play a supporting role in the formulation of energy efficiency standards and the acquisition of benchmark data in the future

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