High Power Laser and Particle Beams, Volume. 35, Issue 9, 092002(2023)
Intelligent assembly scheduling for large laser devices
Figures & Tables(9)
Fig. 1. Typical optical-mechanical modules precision assembly and calibration process
Fig. 2. A problem solving framework based on artificial neural network
Fig. 6. Gantt chart of intelligent scheduling system for precision assembly and calibration workshop
Table 1. Input characteristics of artificial neural network
View tableView in ArticleTable 1. Input characteristics of artificial neural network
No. characteristics remark 1 t(PT) processing time of this process 2 t(ES) the earliest start time of this process 3 l(WIQ) machining queue length of work center in this process 4 l(WINQ) machining queue length of work center in next process 5 t(NPT) processing time of next process 6 t(WKR) remaining processing time of optical-mechanical module
Table 2. Process route and working hours of typical optical-mechanical modules
View tableView in ArticleTable 2. Process route and working hours of typical optical-mechanical modules
process process name processing time/min 10 storage inspection of optical elements 120 20 cleaning of optical elements 540 30 optical element coating 162 40 optical element detection 120 50 mechanical frame warehousing inspection 12 60 rough washing of mechanical frame 15 70 fine washing of mechanical frame 30 80 high temperature baking of mechanical frame 67 90 cleanliness detection of mechanical frame 120 100 mechanical assembly 720 110 optical-mechanical assembly and test 360 120 transfer and storage 288
Table 3. Operational results of five scheduling algorithms
View tableView in ArticleTable 3. Operational results of five scheduling algorithms
No. m C T/s FIFO SPT LWKR ANN GA FIFO SPT LWKR ANN GA 1 5 2322 2202 2 036 2 047 1 998 0.19 0.19 0.21 0.63 280 2 5 2434 2193 2276 2149 2047 0.20 0.20 0.23 0.69 295 3 10 3111 3490 3070 2631 2582 0.39 0.41 0.46 0.88 510 4 10 3790 3361 3792 3007 2894 0.41 0.42 0.52 0.87 555 5 15 3931 3987 4478 3635 3428 0.61 0.62 0.77 1.21 613 6 15 4008 3965 3729 3321 3168 0.63 0.63 0.81 1.17 679 7 20 7284 7312 6953 6202 5997 0.91 0.92 1.09 1.53 1011 8 20 7220 7023 6897 6228 6082 0.97 0.95 1.19 1.48 997
Tools
Get Citation
Copy Citation Text
Zhao Xiong, Lingyu Yin, Guoqing Pei, Chengcheng Wang, Hai Zhou. Intelligent assembly scheduling for large laser devices[J]. High Power Laser and Particle Beams, 2023, 35(9): 092002
Paper Information
Category: Inertial Confinement Fusion Physics and Technology
Received: Jun. 6, 2023
Accepted: Aug. 25, 2023
Published Online: Oct. 17, 2023
The Author Email: Wang Chengcheng (wchch_caep@163.com)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20