Pain points of cutting ends of seamless pipes
Coarse collection granularity
When the data collection granularity is coarse, it is impossible to understand the energy consumption of specific equipment or processes, and it is difficult to find high-energy consumption points for optimization.
Failure to combine multidimensional data
Only analyzing energy usage without combining other dimensions such as production specifications, processes, and equipment status.
Energy consumption data is not fully utilized
Energy consumption data can directly or indirectly reflect the quality of equipment and products. Abnormal equipment status can further lead to high energy consumption.
Unable to comprehensively analyze scheduling
Reducing energy consumption requires comprehensive consideration of multiple objectives such as peak and valley electricity prices, production efficiency, production time, total energy consumption, etc. Simple manual analysis cannot calculate the complexity requirements.
Ant Schedule
Real-time energy usage monitoring can promptly detect energy consumption anomalies, optimize equipment efficiency, and optimize production scheduling.
Ant Schedule Advantages
Improve collection granularity
The collection granularity is improved to specific devices.
Fully integrate multi-dimensional data
By linking production specifications, production processes, shifts and other data, the granularity of analysis can be further improved.
Making the most of energy consumption data
Identify abnormal equipment status through energy consumption data, evaluate equipment operating efficiency, and conduct related product quality analysis.
Gene Scheduling Algorithm
Based on the gene scheduling algorithm, multi-objective coordination, conflict avoidance, real-time total energy consumption, production time, production efficiency, and peak-valley electricity optimization.
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