AI unloading optimization method for random tasks in industrial Internet of Things
An industrial Internet of Things and optimization method technology, applied in the field of AI offloading optimization of random tasks, can solve problems such as difficult system problems, small size, and impact on production, so as to reduce system energy consumption, meet computing needs, and improve battery life. Effect
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[0121] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments.
[0122] An AI unloading optimization method NIO for random tasks in the Industrial Internet of Things described in this embodiment, the flow chart is as follows figure 1 As shown, the unloading optimization method includes the following steps:
[0123] S10, after the cruise UAV detects a communication failure in the production area, the UAV equipped with an edge server builds an edge computing entity network, and uses the edge computing entity network to determine the communication failure prediction time slot.
[0124] The factory area is equipped with a drone responsible for cruising. When the cruise drone finds that there is a communication failure in the equipment in the factory area, it will dispatch the drone equipped with the edge server...
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