Case Study
Smart Energy Monitoring — Machine-Level Power Visibility
Overview
PT Komatsu improved its energy visibility through Ravelware’s Smart Energy Monitoring solution. By installing additional power monitoring sensors on production equipment, the system enables electricity consumption to be monitored at machine level for better operational and energy control. See how machine-level power sensors capture electricity consumption data and provide clearer visibility of energy usage across the production line.
Challenges & Key Issues
Electricity consumption was previously only visible at a general level, making it difficult to understand how much energy was being used by each machine or equipment within the production line. This limited the ability to identify high-consumption equipment and evaluate energy efficiency across operations.
Identified Operational Pain Points:
- tidak tau penggunaan listrik pada setiap alat yg ada di line produksi
Implemented Solution
Ravelware implemented a Smart Energy Monitoring System by installing additional sensors on selected production equipment to measure electricity consumption individually. The captured data provides greater visibility of energy usage per machine, enabling production and engineering teams to monitor consumption more accurately and identify equipment with higher energy demand.
System Capabilities & Modules:
- memasang sensor tambahan untuk mendeteksi penggunaan listrik pada seriap alat yg digunakan
Operational Impact
With machine-level energy monitoring, PT Komatsu gains clearer visibility of electricity consumption across production equipment. This provides a stronger data foundation for evaluating energy performance, identifying inefficient usage, and supporting future energy-saving initiatives.
Key Capabilities Delivered
Machine-Level Energy Monitoring
Measures electricity consumption individually for each monitored production equipment.
Real-Time Energy Visibility
Provides up-to-date visibility of power usage across the production line. -mEnergy Consumption Tracking Records usage data to support analysis of energy consumption over time.
High-Consumption Identification
Helps identify machines or equipment with relatively higher electricity demand.
Energy Efficiency Insight
Provides operational data that can support energy-saving and efficiency improvement initiatives.
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