FACTORY ENERGY MANAGEMENT SYSTEM FOR DYEING INDUSTRY
First Claim
1. A factory energy management system (HEMS) for dyeing industry, in which an optimized production management system (POP) and an energy management system (EMS) are integrated into a single platform, and which enables real-time monitoring of energy usage in each of dyeing and finishing processes based on hardware, software and ICT-based monitoring and control technology, optimizes the use of energy in each process by analyzing aggregate date, and is configured to apply energy use factors and related data analysis and control processes in different manners depending on the characteristics of dyeing industrial processes.
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Abstract
The present invention relates to a factory energy management system for the dyeing industry, which enables an energy management system (EMS) to be applied to dyeing industrial processes that over-consume energy, so as to reduce energy consumption by an optimized production management process. The present invention provides a factory energy management system (FEMS) for dyeing industry, in which an optimized production management system (POP) and an energy management system (EMS) are integrated into a single platform, and which enables real-time monitoring of energy usage in each of dyeing and finishing processes based on hardware, software and ICT-based monitoring and control technology, optimizes the use of energy in each process by analyzing aggregate date, and is configured to apply energy use factors and related data analysis and control processes in different manners depending on the characteristics of dyeing industrial processes.
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1 Claim
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1. A factory energy management system (HEMS) for dyeing industry, in which an optimized production management system (POP) and an energy management system (EMS) are integrated into a single platform, and which enables real-time monitoring of energy usage in each of dyeing and finishing processes based on hardware, software and ICT-based monitoring and control technology, optimizes the use of energy in each process by analyzing aggregate date, and is configured to apply energy use factors and related data analysis and control processes in different manners depending on the characteristics of dyeing industrial processes.
Specification