Automatic meter reading.
Automatic electricity collection greatly reduces the workload of centralized and surprise meter reading every month, improves the efficiency of meter reading, completely cancels full-time meter reading positions, and saves labor costs by 50%-70%.
Reduce O&M costs.
Digital personnel analysis, efficient contact mechanism, reduce "time on the road", strengthen personnel management, improve work efficiency, and reduce individual working hours by 5%-20%.
Reduce response time.
A--Online centralized operation and maintenance, unified management of big data, electronic operation and maintenance data, and standardized personnel management;
b--Information office, full record of process data, all tasks, clear, concise and reasonable process, process processing time reduced by 10%-25%;
Energy saving and consumption reduction. Manual intervention (zoning, segmentation, time-sharing control).
Realize human intervention, realize the manual operation of time-sharing, segmentation, partitioning and other power outages, so as to reduce the waste of electric energy.
Fee reduction analysis. a—Power quality management: formulate corresponding solutions for the three imbalances and optimize power quality;
b—Time-of-use electricity: time-sharing metering of incoming power and accounting of time-of-use electricity charges, and reasonable adjustment of energy consumption.
The start and stop time of equipment (such as air conditioners, large-scale experimental instruments, etc.);
c—Power adjustment fee: test the power adjustment fee and formulate a reactive power compensation plan;
Energy saving analysis. a—Loss analysis: reasonably adjust the operation of high energy-consuming equipment to reduce the no-load loss of equipment; Adjust the operation of multiple transformers to reduce the loss of transformers in non-economic operation intervals;
b—Unreasonable electricity consumption: Analyze the unreasonable use of electricity in combination with business hours, holiday arrangements, working hours, non-working hours, weather conditions, etc.;
c—Equipment power analysis: According to the big data analysis of the economic energy consumption range of the equipment under various working conditions, the equipment operation rules are reasonably formulated to reduce excess energy consumption;
Improve power supply security, reduce operation and maintenance costs, control security risks, and enhance property management.