An electronic fence-based logistics transportation method

By using a geofence-based logistics transportation method, dynamic geofences are generated using genetic processing and digital twin technology. The paths and thresholds are adjusted in real time, which solves the passive management problem of existing logistics management systems. It enables proactive risk identification and dynamic adaptation in the transportation process, thereby improving transportation efficiency and safety.

CN122335147APending Publication Date: 2026-07-03小铁马科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
小铁马科技有限公司
Filing Date
2026-06-05
Publication Date
2026-07-03

AI Technical Summary

Technical Problem

Existing logistics management systems adopt a passive management model, which means that abnormal events can only be dealt with after they occur, missing the best intervention window. Furthermore, fixed thresholds cannot adapt to the dynamic fluctuations in the transportation process, resulting in false alarms or missed alarms, thus reducing the effectiveness of alarms.

Method used

A logistics transportation method based on electronic fences is adopted. By acquiring the DNA of historical logistics tasks, performing genetic processing and digital twin simulation, dynamic electronic fences are generated. Real-time status data and trajectory prediction data are acquired, deviation vectors are calculated, and path, time window and environmental parameter thresholds are dynamically adjusted to identify transportation risks in advance.

Benefits of technology

It enables proactive risk identification during transportation, reduces false alarms and underreporting rates, improves transportation efficiency and safety, adapts to changes in road conditions and weather, and reduces cargo damage and transportation delays.

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Abstract

This invention relates to a logistics transportation method based on electronic fences, belonging to the field of logistics transportation. The method includes: selecting process DNA matching the logistics task to be processed from a gene bank as parent DNA; performing genetic processing on the parent DNA to obtain multiple offspring DNAs; selecting one of the offspring DNAs as the master DNA based on digital twin technology; generating a dynamic electronic fence based on the master DNA; calculating a deviation vector based on acquired current state data and future state trajectory prediction data; when the deviation vector meets preset conditions, determining the gene segment to be mutated in the master DNA based on the deviation vector and performing mutation processing to obtain multiple variant DNAs; selecting one of the variant DNAs as the optimal variant DNA based on digital twin technology and current state data; updating the master DNA and the dynamic electronic fence based on the optimal variant DNA. This method has the advantages of enabling proactive monitoring and reducing cargo damage and transportation delays.
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