The implementation of automation transformation in the electrical energy-saving production line has resulted in a 15% -40% increase in core efficiency, with specific values determined by the pre transformation automation coverage, process stability, and data control level. At the same time, it can simultaneously achieve a 10% -25% reduction in energy consumption.
1, The core sub performance of efficiency improvement
(1) Production end: 1 Discrete production lines (such as SMT surface mount and small part assembly) have been transformed, resulting in a 30% -50% reduction in changeover time and a 20% -35% increase in per shift output; 2. Process oriented production lines (such as wire winding and component packaging) have increased equipment utilization from 65% -75% before the renovation to 85% -92%, reducing unit product production time by 15% -25%. (2) Quality and control end: 1 The deviation rate of process parameters caused by manual operation has decreased from 10% -15% to 2% -3%, and the defect rate has decreased by 5% -12%; 2. Real time data collection and automatic triggering adjustment have compressed the abnormal response time from 20-30 minutes to 5-10 seconds, reducing unplanned downtime by 15% -20%.
2, Limitations on the increase in magnitude
(1) Basic renovation: 1 The original production line is pure manual/semi automated (automation coverage<50%), and the improvement after transformation can reach 30% -40%; 2. The original production line already has basic automation (coverage>70%), only completing data interaction and intelligent control modules, with an improvement rate of 15% -25%. (2) Process adaptation: 1 Continuous and stable standardized process adaptation to automation systems, resulting in more comprehensive efficiency improvement; 2. Flexible processes with multiple varieties and small batches require supporting flexible automation units to increase compression by 5% -10%.
3, The synergistic effect with electrical energy conservation
(1) Automated systems can reduce equipment no-load/overload caused by manual misoperation, and reduce ineffective energy consumption by 5% -8%; (2) Data control accurately matches production loads, avoiding excessive power supply and standby power consumption, and creating a synergistic effect with energy-saving goals.
