Real-time distribution system for unmanned distribution robot based on Internet of Things
A technology of robots and the Internet of Things, applied in transmission systems, signal transmission systems, biological neural network models, etc., can solve problems such as insufficient intelligence in judgment
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Embodiment 1
[0027] A real-time distribution system for an unmanned distribution robot using the Internet of Things, comprising the following steps:
[0028] S1. Use the power information collection device to collect the power information of the unmanned delivery robot, and use the cargo information collection device to collect the goods information that the unmanned delivery robot needs to deliver, and simplify the preprocessing of the collected information;
[0029] S2. The information collected in S1 is transmitted through ZigBee wireless mode and CAN bus mode. The wireless mode is adopted in the underlying network, and the monitoring information is forwarded to the coordinating node through the routing node; the upper layer network adopts the CAN bus mode, and the coordinating node will The information is passed to the server;
[0030] S3. Perform final analysis on the monitoring information transmitted in S2 through the server, and judge whether the goods can be delivered through the ...
Embodiment 2
[0042] Embodiment 2: Based on Embodiment 1, the difference is:
[0043] S1, using S 1 and M 1 Indicates the delivery distance and delivery weight of the unmanned delivery robot, S 2 , S x and M 2 Indicates the planned mileage of the cargo, the additional mileage and the weight of the cargo, and outputs the two signals after preprocessing, using W 1 , W 2 , W 3 and W 4 Represents the weight between layers, using X, Z and D to represent the small, medium and large in fuzzy reasoning, through W 1 and W 2 Divide the three signals into X, Z and D, and then according to W 3 Select the appropriate fuzzy rules, relying on W 4 Normalize the fuzzy rules, and output the probability that the delivery can be completed, and N and Y represent undeliverable and deliverable;
[0044] S2. After preprocessing the two signals of unmanned distribution robot and cargo logistics distribution information, the output is:
[0045] Y s1 =P s1 = S; Y m1 =P m1 = M;
[0046] Output X, Z an...
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