A big data-based supply chain transportation state real-time monitoring system

By using big data-based image processing technology, changes in the airflow channels of refrigerated truck door gaps can be monitored in real time, solving the problem of accurately depicting the risk of moisture condensation in cold chain transportation. This enables precise monitoring and dynamic adjustment of moisture condensation risk, improving transportation safety and environmental adaptability.

CN121788006BActive Publication Date: 2026-07-24ZHONGJING TENGYUAN SUPPLY CHAIN TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHONGJING TENGYUAN SUPPLY CHAIN TECHNOLOGY CO LTD
Filing Date
2025-12-04
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies cannot accurately characterize the geometric changes in the airflow channels of refrigerated truck door gaps and their impact on the risk of moisture condensation, leading to problems such as humidity accumulation and metal structure corrosion during cold chain transportation.

Method used

A real-time monitoring system for supply chain transportation status based on big data is adopted. Image processing technology is used to generate a set of contours, calculate the opening area ratio and water vapor partial pressure, and combine the image micro-contrast at the depth position to calculate the global risk of condensation and adjust the width of the narrow slit to control moisture loss.

Benefits of technology

It enables precise monitoring and dynamic adjustment of the risk of moisture condensation inside refrigerated trucks, improving transportation safety and environmental adaptability, and reducing the probability of moisture condensation accumulation.

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Abstract

The application discloses a supply chain transportation state real-time monitoring system based on big data, and relates to the technical field of real-time monitoring, comprising: an opening area calculation module, a contour set is generated based on an in-vehicle image frame and an out-vehicle image frame, and an opening area ratio is calculated based on the contour set; a water vapor partial pressure calculation module, a mixing ratio of external warm and humid air in local air is calculated based on the opening area ratio, and mixed water vapor partial pressure is calculated based on the mixing ratio; and a saturation temperature determination module, an image micro-contrast of a depth position is generated based on the in-vehicle image frame, and a surface equivalent saturation temperature of the depth position is determined based on the image micro-contrast of the depth position. The application realizes fine thermal and humid environment mapping under global depth distribution.
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Citation Information

Patent Citations

  • CN103471155A

  • CN120335416A