The invention discloses a comprehensive
algorithm for distribution and scheduling of AGV (Automatic Guided Vehicle) carrying tasks. S1: an
SCADA system; equipment communication,
data acquisition and storage, protocol analysis and logic
processing; s11, the communication protocol, the address and the communication
rhythm of the equipment are configured through the
system,
data acquisition data are stored in ES (ElasticSearch), the
data acquisition data are stored for one year and backed up regularly, and the
system achieves service logic
processing through an LUA script. The carrying efficiency of the AGV is integrally improved, and the
execution time of carrying a
single task by the AGV is shortened by 10%; the production capacity of a workshop is improved, and the carrying rate exceeds 96% under the condition of no interference; the workshop logistics cost is reduced, and the overall number of AGVs is reduced by 10%; and the
first pass yield of material carrying is improved by 15%. The deep fusion
data analysis capability enables the whole system to predict demands more accurately, avoid conflicts, optimize the overall production efficiency, optimize the production process, reduce waiting and resource waste, and improve the flexibility of path planning and the reliability of
task completion.