After the introduction of automation transformation in domestic coal tar processing production lines, production efficiency is usually increased by 30% -55%
1, The transformation depth corresponds to the efficiency improvement interval
(1) local basic automation transformation (only replacing manual control of key parameters such as temperature, pressure, and flow in a single loop), with an efficiency improvement of 15% -25%, only reducing manual misoperation problems.
(2) The full process automation transformation (deploying DCS control system, upstream and downstream equipment linkage logic, product quality online detection module) can improve efficiency by up to 40% -55%, covering core processes such as process optimization and continuous operation. 2, The impact of the original production line foundation
(1) The transformation of the old pure manual coal coke oil production line has resulted in an efficiency improvement rate that is slightly above the upper limit of the range, about 45% -55%. Due to the high proportion of manual intervention in the original production line, there is a large space for automation substitution.
(2) The transformation of semi-automatic production lines (some equipment with basic self-control and manual intervention in multiple links) has resulted in an efficiency improvement rate that is slightly lower than the middle and lower limits of the range, about 30% -40%. The original automation has replaced some manual labor, and the incremental space for transformation is limited.
3, The core logic of efficiency improvement
Reduce temporary parking and material waste caused by manual errors, and increase the continuous operation rate of the production line by 10% -18%.
Accurate control of process parameters (such as distillation tower reflux ratio and distillation temperature deviation controlled within ± 0.5 ℃) has increased product yield by 5% -12%, corresponding to an increase in unit raw material processing output.
Reduce the time consumption of auxiliary processes such as manual inspection and parameter recording, and shorten the processing cycle of a single batch by 8% -15%.
