Sensor data processing system and method for liquid packaging barrels

By integrating multiple sensors in liquid packaging barrels to collect and analyze data in real time, the problems of real-time tracking and demand forecasting in liquid container management are solved, and intelligent management of liquid containers and efficient supply chain operations are realized.

CN120541790BActive Publication Date: 2025-09-16SHANGHAI LANGHUI HUIKE TECH CO LTD
2 Cites 0 Cited by

Patent Information

Application Number
CN202511028458.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-25
Publication Date
2025-09-16
Estimated Expiration
2045-07-25

AI Technical Summary

Technical Problem

In existing technologies, liquid container management lacks real-time tracking and monitoring, making it difficult to accurately predict demand, leading to inventory backlogs or insufficient supply, increased operating costs, and difficulty in dynamically responding to market changes.

Method used

By integrating multiple sensors into liquid packaging barrels, including pressure sensors, tilt sensors, vibration sensors, and GNSS positioning modules, data is collected in real time and uploaded to the cloud. Combined with historical loading information, data fusion and analysis are performed to achieve accurate identification and prediction of liquid usage rate, location, and status.

Benefits of technology

It realizes real-time monitoring of liquid containers and dynamic demand forecasting, optimizes replenishment timing and logistics routes, improves the intelligence level and operational efficiency of the supply chain, and reduces logistics costs.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present invention relates to the technical fields of big data analysis and supply chain management, and in particular to a sensor data processing system and method for liquid packaging barrels. The method comprises the following steps: obtaining raw sensor data from a smart chip shared barrel; performing barrel status judgment on the raw sensor data to obtain status event data; locally caching and transmitting the status event data to obtain a real-time perception data stream; performing perception optimization and loading retrieval on the real-time perception data stream to obtain optimized perception data and barrel historical loading information; calculating liquid usage rate data based on the barrel historical loading information and optimized perception data; performing a comprehensive judgment on the container status based on the barrel historical loading information and optimized perception data to obtain currently loaded liquid type data; and generating comprehensive barrel status data based on the liquid type data and liquid usage rate data. The present invention significantly improves the efficiency and benefits of bulk liquid trade by integrating real-time perception data from smart containers.
Need to check novelty before this filing date? Find Prior Art