Coarse collection granularity
Coarse data cannot reveal the consumption of specific equipment or processes, making high-consumption points difficult to identify.
Ant ScheduleEnergy Consumption Analysis and Scheduling Optimization
Improve energy-analysis granularity; identify high-consumption points; coordinate energy use; reduce consumption
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Energy Analysis and Scheduling Pain Points
Multidimensional data is disconnected
Energy usage is analyzed without production specifications, processes, shifts or equipment status.
Energy data is underused
Energy data can reveal equipment and product-quality conditions, while abnormal equipment often increases consumption.
Scheduling cannot be analyzed comprehensively
Peak and valley pricing, efficiency, production time and total energy must be optimized together, exceeding simple manual analysis.
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Ant Schedule
Real-time energy monitoring identifies abnormal consumption, improves equipment efficiency and optimizes production scheduling.
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Ant Schedule Advantages
Improve collection granularity
Raise the collection granularity to the individual device level.
Integrate multidimensional data
Connect production specifications, processes, shifts and other dimensions for deeper analysis.
Make full use of energy data
Use energy data to identify equipment anomalies, evaluate operating efficiency and support product-quality analysis.
Genetic scheduling algorithm
Coordinate multiple objectives and avoid conflicts while optimizing total energy, production time, efficiency and peak-valley use.
edgeApe
Contact Us
Contact us to explore how our innovative solutions can help your business reduce costs, improve efficiency and enhance product quality.
Contact UsContact Details
Email
team@edgeape.com
Address
中国，天津市，南开区，天津科技广场3号楼901-1