An automobile accessory intelligent warehouse management system and method based on an internet of things

By constructing an IoT-based intelligent warehouse management system for automotive parts, the problems of data dispersion, path dependence, manual labor, and static inventory management in existing technologies have been solved. This has enabled efficient data fusion and intelligent management, improving the operational efficiency and decision-making capabilities of the warehouse system.

CN120806813BActive Publication Date: 2026-06-02ZHENGZHOU RUANYU TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHENGZHOU RUANYU TECHNOLOGY CO LTD
Filing Date
2025-06-18
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing automotive parts warehouse management systems suffer from problems such as scattered data, insufficient correlation between location information and data, reliance on manual route planning, lack of dynamic adaptability in inventory management, reliance on manual sampling for quality inspection, and insufficient behavioral analysis. These issues result in low picking efficiency, difficulty in timely identification of inventory anomalies, inaccurate quality grading, and inability to provide early warnings for operational anomalies.

Method used

By collecting and cleaning component attribute data, a basic database is built. Combined with IoT sensing data, partitioning and path optimization are performed to monitor inventory status and quality in real time, analyze staff behavior, generate intelligent warehousing strategies, and improve the system's intelligence level by using multi-source data fusion and semantic mapping.

Benefits of technology

It significantly improves the operational efficiency and decision-making capabilities of the warehousing system, realizes intelligent zoning and path optimization, enhances the predictive ability of inventory status and quality inspection, optimizes the work level of staff, and has high intelligence and self-adjustment capabilities.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application belongs to the technical field of big data processing, and discloses an intelligent automobile accessory warehouse management system and method based on the Internet of Things; the method comprises the following steps: collecting automobile accessory attribute data, marking the accessories and cleaning the data in sequence, and constructing an accessory basic database; collecting original sensing data and associating the accessory basic database, obtaining a multi-source storage data set, performing accessory partitioning, and generating optimal warehouse layout information; obtaining real-time position information of the accessories, combining the optimal warehouse layout information, and outputting an efficient work optimization path; collecting accessory warehouse entry and exit records in real time, performing state prediction, and outputting referenceable inventory information; performing quality detection on the accessory basic database based on the referenceable inventory information, and outputting accessory evaluation data; collecting behavior data of workers and performing behavior pattern analysis, and generating behavior evaluation data; constructing a warehouse strategy, and sending the warehouse strategy to a preset automobile accessory management system; and high-efficiency and high-precision warehouse management is realized.
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