Software Solutions

Keep track of energy using an extensive range of graphs. EcoAdviser makes it much more efficient to conduct energy conservation activities like creating reports and various daily tasks that had previously been completed using spreadsheet software. It also leverages visualization to assist with initiatives implemented at workplaces, and can help raise awareness by boosting understanding.

An approach that focuses on five key areas of energy conservation perspectives by drawing on Mitsubishi Electric's know-how developed over many years, and automatically identifies energy loss from each of these perspectives.

1. Production equipment start-up to start of production time
   
2. End of production to production equipment shutdown time
   
3. Utilities* time loss:
   ・Utilities start-up to production equipment start-up time
   ・Production equipment shutdown to utilities shutdown time
4. Specific units from start of production to end of production
5. Ratio of time with no production from start of production to end of production
   
   * Auxiliary equipment that operates in tandem with production equipment (e.g., ventilation fans, mist collectors, compressors, etc.)

1. Diagnosis period
   Energy losses can be extracted by simply selecting the period for diagnosis.
   
2. Ranking display
   Automatically ranks equipment in order of energy loss.
3. Five key areas of energy conservation
   Energy loss for each of the five key areas of energy conservation is displayed for each day.
4. Energy loss extraction screen
   The energy loss time (unit: minutes), specific unit requirement, and ratio of production loss time for each day are displayed on a single screen, with the worst day highlighted.
   

Date, time, and production information is used to rank items correlating with factors causing energy loss, and presented together with the effects of expected improvements

This refers to items that are closely associated with days when energy losses are greater than normal. 

Factors closely correlating with energy loss such as date and time, equipment and so on are prioritized in terms of potential for reducing losses through recommended countermeasures.

1. Diagnosis of energy loss factors
   Factors that are closely correlated with energy loss are automatically identified and ranked using AI (day of the week, start-up time, production quantity, etc.).
2. Effects of expected improvement
   The estimated improvement effect is automatically calculated and displayed in monetary terms.
3. Evaluation of diagnosis results 
   User evaluations are reflected in the results of subsequent diagnoses. Evaluations are ranked higher if they are useful, and are displayed higher in the list.
4. Presentation of advice
   Comments and graphs that could be useful for improvements are presented.

By simply selecting the period before and after the improvements were made, the amount of electricity usage, electricity consumption charges, and energy loss before and after the measures were implemented can be checked easily.

1. Diagnosis period
   Effectiveness can be verified by simply selecting the period before and after the improvements were made.
2. Effects of improvements on the amount of electricity usage and the reduction in electricity charges
   Comparisons can be made on an electricity usage and monetary basis. 
3. Effects of improvement from an energy conservation perspective
   The energy loss of selected energy conservation perspectives can be compared.

Energy conservation analysis application

Graphs and reports for analysis purposes can be created based on collected data, to better understand the current conditions.

Main Functions:

• Create analysis graphs
• Create dashboard
• Create forms

Energy conservation analysis and diagnosis application

In addition to visualization of collected data, effective energy conservation activities can be achieved with energy loss extraction and factor diagnosis using AI.

Main Functions:

• Create analysis graphs
• Create dashboard
• Create forms
• Extract energy loss
• Diagnose energy loss factors
• Verification of effectiveness of energy conservation measures

Below videos are showing the gains we are achieving by using the EcoAdviser solution in our own factories.

EcoAdviser, in conjunction with ICONICS SCADA software, enables centralized and precise machine management. ICONICS SCADA software collects and monitors real-time data from sensors and components attached to machines, including energy consumption and production volumes.

EcoAdviser then analyzes this data, providing users with valuable insights that can serve as the first step in energy-saving activities.

The conversion tool automatically converts the latest measurement data output from GENESIS64 into a format that can be collected by EcoAdviser. Data is output from GENESIS64 and converted using this software without any user input required.

Additionally, this software converts past measurement data output from GENESIS64 into a format that can be collected by EcoAdviser.