4results about How to "Realize automatic allocation" patented technology

The application discloses a multi-device data transmission system and method, which comprises a master control unit, a first channel switch, an input end of the first channel switch being connected with a plurality of RJ45 input interfaces, each of the RJ45 input interfaces being used for accessing a data acquisition device, an output end of the first channel switch being connected with the master control unit through a first RS485 bus, the master control unit being further connected with the first channel switch through a first channel control bus to control the conduction / cutoff of the first channel switch, at least one RJ45 output interface, the RJ45 output interface being used for accessing a data receiving device, the data receiving device being connected with the master control unit through a second RS485 bus after being connected with the RJ45 output interface. The multi-device data transmission system can not only solve the problems of device address allocation, impedance matching and device identification in the data transmission process, but also can integrate data and efficiently send data.

The invention relates to the technical field of intelligent logistics and mobile robot autonomous navigation, in particular to an industrial park unmanned vehicle multi-task cooperative processing system based on visual intelligence, and the system comprises a global potential energy field construction center which calls task distribution information of a to-be-processed task, and builds global gravitational field data containing the gravitational potential energy distribution of a task target point; the local semantic perception unit is used for collecting real-time environment image data in the driving process of the unmanned vehicle to obtain environment semantic feature data containing obstacle categories and road surface texture attributes; the field parameter coupling unit is used for generating local correction field data; the potential energy synthesis unit is used for obtaining synthesized potential energy surface data; the gradient driving control unit is used for calculating a negative gradient vector of the synthesized potential energy surface data at the current position of the unmanned vehicle and converting the negative gradient vector into an acceleration control instruction to drive the unmanned vehicle to move; according to the method, the communication overhead and the deadlock probability are remarkably reduced, and the response speed and the environmental adaptability of the large-scale cluster operation are improved.

The present application relates to the field of intelligent logistics and mobile robot autonomous navigation, specifically to an unmanned vehicle multi-task collaborative processing system for industrial parks based on visual intelligence, comprising: a global potential field construction center: calling task distribution information of tasks to be processed, establishing global gravity field data containing task target point gravity potential distribution; a local semantic perception unit: collecting real-time environment image data in the driving process of the unmanned vehicle, obtaining environment semantic feature data containing obstacle categories and road texture attributes; a field parameter coupling unit: generating local correction field data; a potential synthesis unit: obtaining synthesized potential surface data; a gradient-driven control unit: calculating the negative gradient vector of the synthesized potential surface data at the current position of the unmanned vehicle, and converting the negative gradient vector into acceleration control instructions to drive the unmanned vehicle to move; the present application significantly reduces communication overhead and deadlock probability, and improves the response speed and environmental adaptability of large-scale cluster operations.

This invention discloses a method for scanning express parcels and determining their location and route, comprising the following steps: S1, image acquisition, capturing an image of the express parcel using a camera module; S2, an image processor performing information recognition on the express parcel image obtained in S1, extracting express parcel identification information; S3, a communication unit establishing a connection with an external express locker or delivery station management system to obtain current available storage space status information; S4, based on the extracted express parcel identification information and available storage space status information, a main control unit allocating storage spaces for the target express parcel according to a preset strategy; S5, based on the storage space information allocated in S4, an information push unit sending a pickup notification containing the express parcel's storage location information to the user terminal. This method for scanning express parcels and determining their location and route can automatically allocate storage spaces and send pickup notifications, effectively improving the work efficiency of delivery personnel.