Cloud platformSix Functions
iEECMS is 3Egreens cloud platform for Instant Energy, Equipment & Carbon Management System
Empowering Businesses to Accelerate the Journey to Achieve Decarbonization/CBAM Goals.
Our iEECMS provides real-time data on your energy usage and efficiency, allowing you to make informed decisions about your energy consumption quickly.
Besides monitoring your energy consumption, you can identify areas of opportunity to reduce waste and energy use, saving money and resources while meeting regulatory standards and achieving Decarbonization/CBAM Goals.
The interface of dashboard
The 3Egreen platform provides a lots of interfaces to manage the real time status of every equipments efficiently.
They are including carbon emissions, real-time power, electricity ranking, electricity distribution, utilization rate, warning system.
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The analysis for electricity trend
Set the time interval to view the power consumption of the machine, that is, the carbon emissions, and draw a graph of the electricity consumption trend, and also know whether there is any aging excess power consumption.
The time-sharing power consumption graph can see the operation status of the machine in each period, and the abnormal parts can be found by comparison. Through the pie chart, you can clearly see the power consumption and ranking of machines in different groups.
The analysis for utilization rate
Check the current operating status of the machine and make a chart, which is convenient for customers to compare the production schedule and quickly find out the abnormal machine.
Warning system
Customers can set their own alert notifications on the platform. After the setting is completed, when the alert conditions are triggered, they will be notified through the platform or APP in real time.
Automatic report
Organize analysis data into tables and charts for easy viewing by customers, and data can also be printed or downloaded.
Electricity price trial calculation and optimization
According to Taipower's rules, the electricity fee is calculated, and the estimated excess penalty can also be simulated by electricity price optimization.
