CN-122022652-A - Position server for monitoring goods in logistics process

CN122022652ACN 122022652 ACN122022652 ACN 122022652ACN-122022652-A

Abstract

The invention provides a position server for monitoring goods in a logistics process, and relates to the technical field of logistics. The position server for monitoring cargoes in the logistics process comprises a monitoring deployment module, wherein the monitoring deployment module is bidirectionally connected with a data communication module, the data communication module is bidirectionally connected with a data processing module, the data processing module is bidirectionally connected with a data storage module, and the data processing module is bidirectionally connected with an arrival time prediction module. By taking inherent nodes of the logistics network as accurate position anchor points, accurate recording of goods circulation is carried out only on key nodes, and self-adaptive position deduction is carried out on the basis of an intelligent algorithm and a historical data model in the transportation process, so that dependence on high-power-consumption and high-cost continuous positioning hardware is thoroughly eliminated, the manufacturing cost of terminal equipment and the whole communication energy consumption are greatly reduced, and the method has economic feasibility of large-scale popularization and application.

Inventors

LIU HUIMIN
MA LIANG
LIU WEI
WANG YUJIE
LI CHAO
LIU RI
HE HUAN

Assignees

中宝智运(吉林)科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260305

Claims (7)

1. The position server for monitoring cargoes in the logistics process comprises a monitoring deployment module (1), and is characterized in that the monitoring deployment module (1) is bidirectionally connected with a data communication module (2), and the data communication module (2) is bidirectionally connected with a data processing module (3); the intelligent alarm system is characterized in that the data processing module (3) is connected with the data storage module (4) in a bidirectional mode, the data processing module (3) is connected with the arrival time prediction module (5) in a bidirectional mode, and the data processing module (3) is connected with the intelligent alarm suppression module (6) in a bidirectional mode.
2. The location server for monitoring cargoes in a logistics process according to claim 1, wherein the monitoring deployment module (1) comprises a logistics node module (101), and the logistics node module (101) is connected with a node gateway (102) and a cargo electronic tag (103).
3. The location server for monitoring cargo during a logistics process according to claim 1, wherein the data communication module (2) comprises a network switching module (201) and a data communication component (202), wherein the network switching module (201) uses a cost function to make a network switching decision.
4. A location server for monitoring cargo during a physical distribution process according to claim 3, wherein the data communication module (202) is connected to a satellite communication module (203) and a wireless network communication module (204).
5. A location server for monitoring goods in a logistical process according to claim 1, wherein the data processing module (3) comprises a hardware module (301) and a software module (304), the hardware module (301) comprising a processor (302) and a storage medium (303).
6. The location server for monitoring cargo during a physical distribution process according to claim 5, wherein the software module (304) comprises a location calculation module (305), an anomaly detection module (306) and a monitoring policy management module (307).
7. A method for monitoring physical distribution cargoes by a location server according to any one of claims 1-6, comprising the steps of: S1, initializing a monitoring system The method comprises the steps that a monitoring deployment module (1) distributes unique identification codes for cargoes, initial monitoring intensity is determined according to the properties of the cargoes, and expected transportation paths and key nodes are planned; S2, performing node relay monitoring When goods arrive at the logistics node module (101), the node gateway (102) scans the goods electronic tag (103) to record the accurate position and time, updates the position information of the goods on the server, and predicts the arrival time range of the next node; S3, carrying out transportation process monitoring The goods electronic tag (102) activates the data communication module (2) according to the monitoring strategy, and the server executes a logistics network self-adaptive positioning algorithm through the position calculation module (305) of the data processing module (3) to calculate a position credibility score; S4, anomaly detection and processing The abnormality detection module (306) executes an abnormality detection algorithm, triggers corresponding processing flows according to the abnormality level, and records an abnormality processing result for algorithm optimization; S5, confirming arrival at destination And finally, the nodes scan and confirm the arrival of goods, generate a complete transportation track report, update a historical transportation mode database and store the historical transportation mode database through a data storage module (4).

Description

Position server for monitoring goods in logistics process Technical Field The invention relates to the technical field of logistics, in particular to a position server for monitoring goods in a logistics process. Background The logistics refers to the physical flowing process of the goods from the supply place to the receiving place, and comprises the links of transportation, storage, loading and unloading, packaging, circulation processing, information processing and the like, and aims to efficiently and cheaply convey the goods to the destination. The method has the main advantages of ensuring the safety and the integrity of the goods, preventing theft, loss or damage by real-time tracking, improving the transportation efficiency, ensuring the monitoring data to be helpful for optimizing routes, scheduling and inventory management, reducing delay, enhancing the transparency of a supply chain, enabling customers and managers to accurately grasp the positions and the states of the goods, improving the service reliability, facilitating the problem tracing and responsibility definition, timely early warning and processing if abnormality occurs, effectively controlling risks, finally ensuring the whole process of the logistics to be controllable and visible, and improving the overall operation quality and customer satisfaction. The traditional logistics monitoring scheme mostly relies on a positioning terminal with a GPS module to realize whole-course continuous tracking, and the mode leads to high hardware cost and huge equipment power consumption, and frequent battery replacement is required, so that the economy of large-scale application is poor. Meanwhile, continuous data flow rate is generated in the whole wireless communication process, so that the operation cost burden is further increased. In the aspect of signals, the GPS easily loses signals in indoor, tunnel or remote areas to cause monitoring blind areas, so that the track is interrupted and the transportation state cannot be truly reflected. The existing scheme often forms that monitoring systems among different logistics carriers of the data island are not communicated with each other, and monitoring information can be broken when goods are transported among different enterprises, so that end-to-end complete traceability cannot be formed. In the prior art, a simple rule threshold is adopted in the abnormality judgment, for example, when the threshold exceeds a preset geofence or the residence time exceeds the limit, the alarm is triggered, the mechanical criterion cannot adapt to complex and changeable actual transportation scenes, and reasonable route adjustment, traffic jam or temporary stop are easily misjudged as abnormal events, so that a large amount of false alarms are generated to interfere with the operation efficiency. Disclosure of Invention Aiming at the defects of the prior art, the invention provides a position server for monitoring goods in the logistics process, which solves the problems of high monitoring cost, incomplete monitoring and easy false alarm in the prior art. The position server for monitoring the goods in the logistics process comprises a monitoring deployment module, wherein the monitoring deployment module is bidirectionally connected with a data communication module, and the data communication module is bidirectionally connected with a data processing module; the data processing module is connected with the data storage module in a bidirectional manner, the data processing module is connected with the arrival time prediction module in a bidirectional manner, and the data processing module is connected with the intelligent alarm suppression module in a bidirectional manner. Preferably, the monitoring deployment module comprises a logistics node module, and the logistics node module is connected with a node gateway and a goods electronic tag. Preferably, the data communication module comprises a network switching module and a data communication component, and the network switching module adopts a cost function to make a network switching decision. Preferably, the data communication assembly is connected with a satellite communication module and a wireless network communication module. Preferably, the data processing module includes a hardware module including a processor and a storage medium, and a software module. Preferably, the software module comprises a position calculation module, an abnormality detection module and a monitoring policy management module. The logistics cargo monitoring method of the location server is characterized by comprising the following steps of: S1, initializing a monitoring system The method comprises the steps that a monitoring deployment module distributes unique identification codes for cargoes, initial monitoring intensity is determined according to the properties of the cargoes, and expected transportation paths and key nodes are planned; S2, performing node relay monitoring When t