one Data acquisition | Collect various energy data, realize real-time monitoring of enterprise operation data, start emergency signal, analysis, calculation, statistics and other functions. |
two Energy real-time monitoring | Real time energy monitoring is to conduct centralized monitoring, measurement, control and management of various energy media such as electricity, gas and water in the process of purchase, storage, processing, conversion, transmission, distribution and terminal use, and to provide reasonable dispatching operation suggestions and emergency plans according to the start of emergency signal information processing, so as to ensure the safety and availability of energy media in all links. |
three Start emergency signal and log | Provide query of startup emergency signals and logs for safety and energy consumption exceptions. For example, the records of abnormal operation and handling of main and auxiliary equipment can help users standardize management, supervise assessment, or reduce energy waste by adding control strategies to optimize process control. |
four Energy quality analysis | Through certain inspection means, such as quality statistical analysis, quality follow-up, trend assessment, line crossing warning, energy quality report, interactive quality data query, etc., the quality control of various energy media such as water, electricity, gas, etc. supplied to the outside world is carried out to balance the contradiction between the quality of energy media and product cost. |
five Energy consumption equipment management | Manage key energy consumption equipment, including equipment parameter management, equipment maintenance management, equipment fault management, etc. Establish and improve the electronic archives of equipment to facilitate equipment overhaul, maintenance and other work, so as to ensure the stable operation of equipment and extend the service life of equipment. |
six Energy consumption analysis | The energy data is divided into regions and departments by the form of reports door , workshop, process, shift, time, etc. to achieve horizontal and vertical comparative analysis of energy data. Through multi-level comparative analysis, we found loopholes in energy waste and explored the space for improving energy efficiency. Guided by the results of report analysis, we optimized the time and structure of energy consumption, eliminated outdated energy consuming equipment, self optimization of operating parameters of energy consuming equipment and energy saving equipment, training of operators in energy saving operation, and strengthening the control of energy consumption process Measures such as fine adjustment of process parameters to meet production requirements can save energy and reduce consumption. |
seven Event record | Record the data and curve of associated equipment parameters ten minutes before and after the occurrence of the * * * event, trace the cause of the accident through the accident recording function, take effective measures to solve potential hazards, and avoid the recurrence of similar failures. |
eight Loss analysis | Embedded in the system transformer Loss calculation, line loss calculation method, calculation of real-time loss, historical loss and analog loss （1 ）Transformer loss analysis The calculation method of transformer loss is embedded in the system to analyze the real-time loss and historical loss of transformers running in the system, establish the transformer loss model, and simulate the loss curve under different loads （2 ）Line loss analysis The system embeds the line loss calculation method, analyzes the real-time loss and historical loss of the line set in the system, establishes the line loss model, and simulates the loss curve under different loads |
nine Linkage Reminder | Establish linkage reminder conditions between related equipment in the system, remind according to the conditions, and provide queries. The linkage reminder function can effectively improve the enterprise management level, avoid idle running and idle waiting caused by poor management, and reduce energy waste. |
ten Energy consumption prediction | According to the energy consumption data, unit consumption data and output data of the previous year and month, combined with the energy consumption plan, unit consumption index and output plan of the current year and month, and the energy consumption data of the months and days that have been carried out in the current year and month, the energy consumption and unit consumption of the remaining months of the current year and the remaining days of the current month are predicted. Timely remind when there is a large deviation between the forecast data and the plan data. |
eleven Energy saving verification | This function is used for enterprises to make statistics on the energy-saving effect of the energy-saving measures taken, select the objects (areas, equipment) for energy-saving transformation, and then select the same two time periods before and after the transformation. The energy consumption data of these two time periods can be counted, and the energy saving amount and energy saving rate can be compared and calculated. |
