1、Lack of data monitoring and analysis
Manual inspection, Manually adjust machine and parameter, low efficiency
Unable to measure actual air consumption, power consumption.
The existing station is old, more faults, low efficiency
2、Unable preform AI control based on data analysis
Failure to maintain in a timely manner affects the life span
Supply and demand mismatch, frequent loading and unloading
Lack of management of post-processing equipment leads to unstable air quality


Pain points caused
1. 10-30% energy waste in station
2. Unstable quality of Compressed air
3. Waste of labor