It was first used at the 2024 Beer Festival in Qingdao, China. It uses real-time video to identify the flow of people, the number of people queuing in an area, and the number of people getting on and off the bus, providing auxiliary decision support for large-scale and real-time scheduling.
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Applied to buses and engineering vehicles, the vehicle location, speed, fuel consumption, engine speed, fault and other information are obtained in real time through the vehicle-mounted tbox, and uploaded to the cloud platform in real time. Identify driver behavior to monitor vehicle conditions and whether the driver has violated regulations. Combined with the business system, all-round management and control of operations, vehicles and personnel are carried out.
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It has been successfully applied to Bus groups and has become a model for big data applications at the provincial and municipal levels. Through AI algorithms, combined with scheduling, time-interval electricity prices, and battery performance life cycle, it intelligently arranges vehicle charging time, corresponding charging guns, and charging power, while meeting business needs and achieving the lowest electricity costs.
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Use AI visual technology to identify and alert suspected violations in production environments, and provide intelligent analysis of general scenario algorithms and special demand algorithms.
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It has been applied to a certain automobile group company. Through AI algorithms, it can intelligently select warehouse locations and optimize transportation routes, reducing transportation and operating costs through algorithms and systems.
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Use AI to automate battery design, and perform AI analysis on battery design to generate design and performance analysis reports.
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It has been applied to many bus groups, covering almost all bus functions, including process management, safety management, dispatching system, ticketing management, OA management, service management, maintenance management, material management, human resources management, operation management, and auto repair management.
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