Introduction to Enterprise Energy Management System Products

The EIOT_CEMS Industrial Enterprise Energy Management Platform focuses on energy medium measurement, production auxiliary facility monitoring, and energy management information applications for intelligent manufacturing industrial enterprises. Based on the EIOT Internet of Things control platform basic framework, it is a new generation of EMS energy management system software developed on J2EE enterprise level architecture, seamlessly integrating mainstream SCADA systems and real-time database data at home and abroad. It is an energy management platform developed by our company based on the EIOT core framework for industrial enterprises. It has been improved in four versions to meet the needs of different levels of industrial enterprises.

The platform can collect various energy consumption data such as water, electricity, gas, and rare gases from customers in real-time, comprehensively, and accurately. At the same time, it can collect and display the operating status and energy consumption of major station equipment such as distribution rooms, air compressor stations, boiler rooms, water pump rooms, and sewage treatment stations, providing data support and multi-dimensional analysis for customers' enterprise accounting management, making customers' enterprise energy consumption composition clear, and providing energy consumption diagnosis and energy-saving suggestions for customers to reduce costs.

1. Version division

2. Function Introduction

The CEMS enterprise energy management system adopts a web system software developed with a full B/S structure, supporting large screen energy

Overview release, integrated SCADA software graphics or SVG vector process graphics, online monitoring of energy media (electricity, water, natural gas, compressed air, etc.) operating conditions, energy performance, production energy costs, forecasting and statistical reports, etc.

2.1 Data Center

Large screen monitoring - Summarize energy consumption data by daily, weekly, and monthly time periods, display daily energy on a month on month basis, display weekly and monthly data using bar charts or trend charts, and analyze energy consumption structure.
Panoramic monitoring - using enterprise panoramic images to integrate scattered energy consumption information and geographical location information, achieving an information-based graphical management mode for real-time monitoring, rapid query, and rapid management of enterprise energy consumption.
Alarm Center - Current Energy Consumption Alarm Display and Dispatch Notification Information Platform

2.2 Energy Visualization

Power - Real time and alarm screen sub function page embedded in CLINK energy dispatch subsystem published on the WEB
Water supply - Real time and alarm screen sub function page embedded in CLINK energy dispatch subsystem published on the WEB
Compressed Air - Real time and Alarm Screen Sub functional Page Embedded in CLINK Energy Dispatch Subsystem Released on the WEB
Gas/Steam Body - Real time and Alarm Screen Sub functional Page Embedded in CLINK Energy Dispatch Subsystem WEB Release
Equipment Network - Real time and Alarm Screen Sub functional Pages Embedded in CLINK Energy Dispatch Subsystem WEB Release

2.3 Energy Monitoring

Working condition screen - Draw a schematic diagram of pipeline energy flow and equipment operation based on the factory pipeline network or equipment structure, displaying real-time energy consumption data and operating status data.
Real time overview - Display real-time operating parameter variables of energy instruments or equipment of the same type in a segmented format.
Real time curve - View the real-time curve of corresponding parameter variables based on instruments and parameters. Parameters of the same type, such as three-phase voltage, can be displayed simultaneously.
Historical Overview - Query the historical operating data of all instruments and equipment through time periods
Alarm Curve - By tracing the alarm information back to the operating data before and after the alarm, a trend curve display is formed.
Alarm Event - Record alarm information and solutions for alarm events, providing contingency plans for similar problems encountered in the future.

2.4 Energy Statistics
Energy consumption ledger - Record the total energy consumption values of electricity, water, steam, gas, other energy sources, and key equipment collected every hour at 1-hour intervals.
Energy consumption statistics - Record the energy consumption values of electricity, water, steam, gas, other energy sources, and key equipment every hour at 1-hour intervals.
Energy Consumption Summary - By querying the energy consumption and summary of electricity, water, steam, gas, other energy sources, and key equipment by day, month, and year.
Export of query table - printing reports for each type of energy consumption data
Export of monthly, quarterly, and annual reports - Automatically collect reports, manually input reports for export, can export monthly, quarterly, and annual reports
Load report - hourly, daily, and monthly load reports and trend curves
Power Quality Report - Hourly, Daily, Monthly Power Factor Report and Trend Curve
Energy Balance Report - Electricity and Compressed Air Energy Balance Report and Bar Chart

2.5 Energy Analysis

Maximum demand analysis - Maximum electricity demand, also known as contracted electricity load (MD), refers to the maximum average electricity load per unit time of a customer during a billing cycle.

Equipment utilization analysis - By querying the load situation of equipment during time periods, calculating the trend curve of equipment utilization during operation and analyzing it
Economic analysis of transformers - comparing and analyzing whether transformers are operating within the economic operating range based on their configuration and production conditions. Energy consumption prediction - predicting energy consumption over a period of time based on order production and unit consumption
Energy Efficiency Analysis of Air Compressors - COP Analysis of Air Compressors, Gas Production, and Electricity Consumption, Estimation of Energy Saving

3. Functional Features

1. Cross platform deployment
Developed using cross platform Java language, implementing B/S architecture, using MySQL/Hbase cross database, server-side can run on Windows, Linux, Unix, MacOS, achieving cross platform deployment, client-side uses browser, easy deployment.
2. Strong analytical function:
Built in statistical algorithms can observe device energy consumption in different statistical ways in big data, compare it with relevant device variables, identify energy consumption trends and possible energy consumption failures.
3. Flexible data model:
Based on the EIOT IoT middleware platform, a multi-level data model of system operating conditions scenario facilities equipment instruments variable parameters is adopted, with clear hierarchy and rich feature descriptions to meet the needs of various applications.
4. Strong configuration function:
In the process of energy data statistics, it has flexible configurability, allowing for the selection of different time methods, different model data levels, different graphical methods, and different data processing methods to present the data, breaking away from the previous industry software's emphasis on static statistics.