Internet of Vehicles Platform

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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Smart Charging Platform

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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Supply Chain Platform

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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Fishing gear drawing design and production scheduling

Using AI production scheduling and typesetting algorithms, by selecting order products, typesetting drawings are automatically and intelligently generated according to the size of parts, cutting requirements and order quantity. Without the need for third-party software such as AutoCAD, the drawings support online typesetting drawing preview, image export, export of CAD formats dxf and dwg, and export of pdf.

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Intelligent battery design

Use AI to automate battery design, and perform AI analysis on battery design to generate design and performance analysis reports.

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Smart Public Transport Integrated Management System

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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