Industrial enterprise energy consumption diagnosis early warning system

Abstract

The invention discloses an industrial enterprise energy consumption diagnosis early warning system and belongs to the enterprise energy management field. An inter-province data center host carries out downward grading so as to be connected to provincial level administrator audit, city level administrator audit and county level administrator audit. Front ends of the three-level administrator audit are connected to data automation audit. A tail end of the data automation audit is connected to each enterprise host. The inter-province data center host is upwardly and successively connected to data gathering, data analysis, early warning output and rectification tracking after early warning. The system of the invention has active and advanced significance for energy utilization, energy saving and emission reduction and environment protection and good social benefits are generated.

Description

technical field [0001] The invention belongs to the field of enterprise energy management, in particular to an energy consumption diagnosis and early warning system for industrial enterprises. Background technique [0002] In 2014, the total energy consumption in the country was 4.26 billion tons of standard coal. The energy consumption is astonishing. Energy consumption and carbon emissions directly endanger the environmental space on which we live, causing air pollution and leading to a significant increase in the number of smog days. Henan Province is also a large energy-consuming province in my country. After entering 2000, under the background of the accelerated development of national industrialization and urbanization, the economy of Henan Province has maintained an average annual growth rate of 11.6%. The secondary industry, especially industry, Become the main driving force to promote the economic growth of Henan Province. The trend of heavy industry in the industry...

AI Technical Summary

Problems solved by technology

[0003] At present, there is a lack of unified and effective management for monitoring energy consumption, water resource consumption, comprehensive utilization of resources and clean production of industrial enterprises, resulting in some reported data lagging behind, inaccurate, chaotic management and other phenomena, which cannot meet the needs of modern management. There is an urgent need for a large-scale comprehensive service system integrating data collection, statistical analysis, diagnosis and early warning functions to meet the needs of modern management

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