With the development of e-commerce, the logistics industry has been prosperous. In order to ensure that the logistics operation capacity is improved in a limited space, various logistics companies upgrade the speed and quality of the most complex sorting links, and invest in a set of storage equipment. Automated equipment for outbound, sorting, and automatic transportation in the field, and in this automated equipment, AGV intelligent handling is dominant. AGV can ensure that the system can drive automatically without manual navigation. It can be flexibly configured according to the storage space requirements, production process, etc., without the need to lay rails, support frames and other fixed devices , has the advantages of not being restricted by venues, roads and space, and has shown its skills in the production line of the manufacturing industry. In China, large Internet companies such as JD.com, Cainiao, Baidu, and Meituan are actively promoting the technology of intelligent unmanned logistics vehicles.
The intelligent logistics unmanned vehicle interconnection program is mainly composed of three parts: AGV logistics vehicle, data transmission, and operation management platform. The main structure of AGV includes: control unit + motorized motor controller, drive unit, obstacle sensor, magnetic navigation sensor, collision avoidance Mechanisms, buzzers + alarm lights, cameras, GPS positioning systems, etc.; in terms of data transmission, through the industrial intelligent IoT gateway provided by Hongdian, connect the navigation positioning system and drive control system to realize the data interaction between the car and the management platform, and Continuously transmit the video image information of the unmanned logistics vehicle movement trajectory such as the road conditions and location of the AGV work site to the cloud in real time for processing and analysis. At the same time, the operation management platform can realize remote management and control of the VGA trolley and operation and maintenance monitoring.
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