An AI-based portable supply and delivery handover process management method and system

By adopting an AI-based portable supply and consumption handover process management method, the problem of the inability to perceive scanning quality and environmental interference in real time in existing technologies has been solved. This enables accurate risk identification and management of the supply and consumption handover process, reduces the probability of missed scanning and incorrect packaging, and improves the controllability and reliability of the process.

CN122155629APending Publication Date: 2026-06-05THE 926TH HOSPITAL OF THE CHINESE PEOPLES LIBERATION ARMY JOINT LOGISTICS SUPPORT FORCE
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
THE 926TH HOSPITAL OF THE CHINESE PEOPLES LIBERATION ARMY JOINT LOGISTICS SUPPORT FORCE
Filing Date
2026-01-22
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing technologies, in scenarios involving rapid supply and demand transfers under complex lighting conditions, limited space, and stacked or moving items, cannot perform real-time perception and quantitative evaluation of fine-grained process parameters such as imaging quality, environmental interference, and operational continuity for a single scan. This makes it difficult to identify and warn of hidden scanning risks caused by environmental jitter, occlusion, and other factors, and easily leads to errors such as missed scans and incorrect packages.

Method used

A portable supply and demand handover process management method based on AI is adopted. By collecting supply and demand handover sensing data, time synchronization, steady-state filtering, anomaly removal, short-time sequence completion and numerical normalization are performed to generate standardized data. A scanning event sequence is constructed and quantitatively evaluated to identify abnormal scanning events, determine the risk level, and perform handover review and rescanning operations to finally generate the handover result.

Benefits of technology

It enables real-time quantitative evaluation of parameters such as imaging quality and operational continuity of a single scan in complex environments, accurately identifies hidden reading risks, and provides real-time warnings and automatically locates high-risk periods, significantly reducing the probability of errors such as missed scans and incorrect packages, and improving the controllability and reliability of the supply and demand handover process.

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Abstract

The application provides an AI-based portable consumption-supply handover process management method and system, relating to the technical field of handover process management, which comprises the following steps: collecting consumption-supply handover sensing data; preprocessing the consumption-supply handover sensing data to generate standardized consumption-supply handover sensing data; constructing a code scanning event sequence according to the standardized consumption-supply handover sensing data, quantitatively evaluating the code reading stability of the code scanning event sequence, combining the evaluation results to construct event feature data set; identifying a code reading abnormal event candidate set; quantitatively analyzing the code reading risk of the code reading abnormal event candidate set, determining the event code reading risk level, dividing the risk chain segment combined with the time interval, and constructing the risk chain segment data set; performing handover review operation based on the risk chain segment data set, performing code reading review and supplementary scanning operation on the code scanning events in the chain segment; performing consistency check on the goods according to the supplementary scanning operation result, generating handover result data package, and completing the consumption-supply handover process management.
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