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Optimize your energy efficiency - monitor power consumption and process temperature in real time

ALL, SHOPFLOOR, PRODUCTION, PEAKBOARD HUB, OPC UA

This template provides you with a comprehensive overview of the energy consumption in your production hall. It shows the energy consumed by individual machines and the process temperature for selected machines. For further analysis, you receive precise information in real time about the total consumption of the current day and the current month, as well as the change compared to the previous month.

By visualizing energy consumption, you can always keep an eye on how much energy each system is consuming. This not only helps you to sensitize your employees to use electricity sparingly, but also enables you to take measures to save energy. You now have the possibility to adjust the machine settings more specifically to avoid wasting energy. With this dashboard, you can not only reduce costs, but also contribute to environmental protection by optimizing your energy consumption and supporting sustainable production practices.

Download the template now for free and tailor it to your individual needs. For even better customizability, we have implemented all required scripts with our low-code editor and building blocks.

possible data sources

This template receives the data on current power consumption and process temperature from an OPC UA data source. Instead, you can also use other machine-oriented communication methods such as MQTT, Modbus, Siemens S7, Mitsubishi Electric, Beckhoff Automation, Bosch IoT Gateway, Rockwell Automation or MT Connect. The consumption data is then written to the Peakboard Hub list, stored there and read out for the overview on the left side of the application. To use this template with your own Peakboard Hub, you can download the table structure of the consumption list here . Import this into your Peakboard Hub and then adjust the data sources in the template accordingly. Alternatively, you can also use other databases such as SQL, Oracle or ODBC.

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