05/12/2022 – Smart Energy Monitoring — auf Deutsch lesen

Measure energy consumption, avoid wear

With its new Smart Energy Monitoring software function, Baumüller now presents a solution for the intelligent energy monitoring of machines and systems.

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The newly developed Smart Energy Monitoring software solution can be used to determine and optimize the energy consumption of each individual axis per cycle. © Baumüller

 
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The Smart Energy Monitoring software function can be applied in the softdrivePLC of the Baumüller converter and operated by means of a higher-level control unit. © Baumüller

 
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In times of rising energy costs, solutions are in demand that can help determine energy consumption and then reduce it in a targeted way. If such an energy measurement tool can also be used to detect wear, machine manufacturers and operators would benefit twice over.

With its new Smart Energy Monitoring software function, Baumüller now presents a solution for the intelligent energy monitoring of machines and systems. With this function, the energy consumption of individual production orders can be transparently recorded and, in a second step, optimized on the basis of a reference value. The reference measurement also serves as an initial value for detecting energy deterioration in the production process. Warning and error thresholds can then be set up on the basis of these values.

The software is loaded directly into the servo-controller and is therefore easy to retrofit. Energy consumption is recorded directly via the intelligent drive. This saves additional costs for external sensors and reduces the amount of wiring required.

 For the machine manufacturer or end user, it offers the following possibilities:

  • Optimization of the machine cycle reduces the energy consumption of the machine and accordingly of individual energy consumers within the machine = Lower production/energy costs during operation
  • Optimization of the machine cycle regarding the use of energy in the DC link = Lower production/energy costs during operation
  • Representation of energy consumption per part facilitates and improves the calculation of production costs
  • Energy deterioration (e.g. increasing mechanical wear) is automatically detected on the basis of adjustable warning and error thresholds. Maintenance for increased machine availability can be planned and carried out in a cost-optimized way.
  • Interfaces to comprehensive energy measurement systems possible = Transparency of the entire machine’s energy consumption
  • Machine-specific key figures can be generated = Improved process optimization, including monitoring
  • Transparency of energy consumption assists in the determination of the Product Carbon Footprint (PCF)

Software functions

The Smart Energy Monitoring software function can be applied in the softdrivePLC of the Baumüller converter and operated via a higher-level control unit. This control unit is manufacturer-independent. The module in the Baumüller control unit works with the current energy values from the converters, generates a reference, and can compare subsequent cycles with this reference using defined threshold values. In addition to the relative changes to the reference, the actual values can be displayed in a visualization.

To support production in optimizing the machine cycle, the software calculates the regenerative effect, also referred to as the “green factor.” This provides information about the potential for process optimization. This key figure can be improved by ensuring that the process makes more optimal use of the energy regenerated in the braking process. For example, after braking one axis, another axis can be accelerated again with the DC link energy. These measurement methods help machine operators to perform their production processes with the highest possible energy efficiency.

The new software function continuously measures and adjusts the machine’s power consumption. If the energy balance deteriorates and higher average values are output, further analysis can be carried out on this basis. Any wear or need for maintenance can thereby be detected immediately. This can prevent both an increase in energy costs and unplanned maintenance work and breakdown times, improving machine availability at the same time. The threshold values for error and warning messages can be set individually.

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