Solution background

For manufacturing enterprises, energy quality has a direct relationship with the quality of products. At the same time, energy consumption directly affects the cost of high energy consumption products, and then affects the market competitiveness of an enterprise. Therefore, manufacturing enterprises are eager to establish energy management system through advanced automation and information technology, so as to realize automation, high efficiency and scientific management in the whole process of energy data collection, energy consumption monitoring, energy consumption analysis and energy optimization.

At present, there are many energy management systems in the market, covering a series of comprehensive functions such as energy data collection, real-time monitoring of energy consumption, energy consumption statistics and analysis, which play a certain role in most enterprises' energy management. However, most of the existing energy management systems stay in the monitoring layer, lack of effective energy real-time data storage, energy consumption warning and alarm functions; lack of effective energy consumption analysis, energy saving and consumption reduction analysis, prediction algorithm, just provide energy consumption data for enterprises, and do not help enterprises to save energy and consumption.

Therefore, based on our advantages in data collection, system integration, algorithm design and many years of experience in intelligent manufacturing information system, a reusable energy management system based on energy consumption optimization is developed. This solution product is applicable to the energy management system in the production and manufacturing industries of electronic raw materials, electronic assembly, semiconductor, electrical appliances, lithium batteries, etc.

Scene oriented

insufficient awareness of energy conservation: the inherent concept of production and management personnel is that energy is to serve production. In order to ensure production, energy consumption is not considered. The awareness of energy conservation of employees needs to be further improved;

lack of effective management means: imperfect energy management system, lack of effective management means and assessment methods;

don't know where "energy" is used: only know the overall energy consumption, can't clearly know where and how much energy is consumed? Where does it consume more? How much more? Why is it consumed more?

energy consumption can't be known early: how to monitor and analyze abnormal energy consumption and predict energy consumption?

Lack of energy-saving basis: how to find energy-saving opportunities through energy consumption big data analysis?

energy consumption cost: how to refine energy consumption cost, obtain energy consumption of various energy types and processing products, analyze detailed energy consumption cost structure, and provide basis for energy conservation and cost reduction.

Applied Enterprises: Zhengzhou Foxconn energy management project, Taiyuan Foxconn energy management project, Guanlan Foxconn energy management project, Suzhou Shengyi equipment and energy management project, Shaanxi Shengyi equipment and energy management project, Changshu Shengyi equipment and energy management project, Jiangsu beiteri MES energy module project, etc.

Programme details

(1) Energy plan

Energy plan is the deployment and arrangement of energy consumption, distribution and balance of enterprises, mainly including the formulation, distribution and performance statistical analysis.

(2) Real time monitoring of energy consumption

The real-time statistics of energy consumption is to calculate and summarize the real-time energy consumption under the geographical and spatial location and time granularity of the plant, so that the managers can grasp the real-time energy consumption of the plant in real time. .

(3) Historical statistics of energy consumption

Historical statistics of energy consumption is the main data basis for enterprises to make energy plans and analyze energy conservation, which provides data support for enterprises to improve economic benefits and reduce energy consumption. Energy consumption history statistics include the following points: energy consumption history, energy consumption comparison ranking, and parameter history. Use the above historical record data, and display in the form of reports, curves, pie charts, etc.

(4) Energy consumption data analysis

Energy consumption data analysis is based on the existing historical data of energy consumption, according to the needs of different analysis methods and algorithms for analysis and processing, mining out some of the rules and giving energy-saving optimization suggestions, providing to managers as a reference decision-making, is the most important branch of energy management. Energy consumption analysis mainly includes the following contents: energy efficiency analysis, energy consumption analysis of key energy consumption equipment status, energy balance analysis, energy consumption benchmarking analysis, energy consumption prediction, energy audit, product type / work order energy consumption analysis, and analysis based on key parameters affecting energy consumption.

Core advantages of the program

Core advantages of EMS scheme of WellinTech

At present, several suppliers with comprehensive functional modules in the market have made energy management system. The functional modules of energy management system are basically similar in content, but they are different in emphasis and industry object. They basically belong to customized development mode, and some functional modules can be simply configured and reused. The energy management system platform of subcontrol is based on the model. Different customers can instantiate the object according to the actual situation of their own factory and complete the system construction through simple configuration. In addition, our energy management system can learn the energy demand and consumption of the enterprise in real time from real-time data collection, energy consumption monitoring, energy consumption statistics, energy consumption analysis to energy conservation optimization, so as to effectively Analyze the energy-saving links and improve the utilization rate of energy.