Visual logistics operation monitoring management system and use method thereof
The visualized logistics operation monitoring and management system, which integrates the Internet of Things and big data analytics, solves the problem of low efficiency in traditional logistics monitoring. It enables real-time data collection, in-depth analysis, and visualization, thereby improving the efficiency and accuracy of logistics operations.
Patent Information
- Application Number
- CN202511499581.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-20
- Publication Date
- 2026-02-10
AI Technical Summary
Traditional logistics operation monitoring relies on manual reports and telephone communication, which is inefficient, error-prone, and makes it difficult to grasp the logistics status in real time, thus failing to meet the needs of real-time monitoring and data analysis.
Design a visual logistics operation monitoring and management system that integrates the Internet of Things, big data analysis, and visualization. The system acquires data in real time through a data acquisition module, performs in-depth analysis through a processing and analysis module, schedules data through a central control module, and detects anomalies and issues alarms through a monitoring module. It also supports various chart displays and customizable displays.
It improved the efficiency and accuracy of logistics operation monitoring, reduced operating costs and risks, and enhanced customer satisfaction and market competitiveness.
Smart Images
Figure CN121504350A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of logistics management technology, and in particular to a visual logistics operation monitoring and management system and its usage method. Background Technology
[0002] In traditional logistics operation monitoring, managers often rely on manual reports and telephone communication to obtain logistics information. This is not only inefficient and prone to errors, but also makes it difficult to grasp the real-time status of logistics operations. With the development of technologies such as the Internet of Things (IoT) and big data, the logistics industry's demand for real-time monitoring, data analysis, and visualization is becoming increasingly urgent. Therefore, developing a logistics operation monitoring and management system that integrates IoT, big data analytics, and visualization technologies has become a pressing need. Summary of the Invention
[0003] To overcome the deficiencies in the prior art, this invention provides a visual logistics operation monitoring and management system, comprising a data acquisition module, a data processing and analysis module, a central control module, a visualization display module, a monitoring module, and an alarm module. The system is characterized by: the data acquisition module for real-time acquisition of various data during logistics operations; the data processing and analysis module for filtering, integrating, and performing in-depth analysis of the acquired data; the central control module for controlling and scheduling the entire system; the visualization display module for visually displaying the analysis results in various formats, including text, charts, and dashboards; and the monitoring module, under the control of the central control module, monitoring the data processing and analysis module, the central control module, and the visualization display module, and issuing an alarm through the alarm module upon detecting monitoring anomalies.
[0004] Preferably, the data acquisition module connects to logistics equipment, vehicles, and warehouse management systems via Internet of Things (IoT) technology to collect location, status, temperature, and humidity data in real time.
[0005] Preferably, the data acquisition module enables data entry to be completed manually.
[0006] The preferred data processing and analysis module employs big data analysis algorithms to deeply mine the collected data, thereby identifying bottlenecks, risks, and optimization points in logistics operations.
[0007] The preferred visualization module includes a PC display terminal and a mobile display terminal.
[0008] The preferred visualization module supports multiple chart types, including line charts, bar charts, and pie charts, and allows users to customize the content and format of the display according to their needs.
[0009] The preferred alarm module includes both audible and visual alarms.
[0010] The method of using the aforementioned visual logistics operation monitoring and management system is characterized by the following steps: (1) Data collection steps: Real-time collection of logistics operation data through Internet of Things technology; or manual entry of information. (2) Data processing and analysis steps: screening, integrating and in-depth analysis of the collected data; (3) Central control steps: The central control module can issue various instructions to complete the control and scheduling of the entire system; (4) Visualization display steps: The visualization display module visualizes the analysis results in various forms such as text, charts, and dashboards. (5) Monitoring module steps: The monitoring module can monitor the data processing and analysis module, the central control module and the visualization display module under the control of the central control module, and can issue an alarm through the alarm module when the monitoring module detects monitoring abnormalities.
[0011] This invention designs a visualized logistics operation monitoring and management system and its usage method. The data acquisition module of this system connects to logistics equipment, vehicles, and warehouse management systems via IoT technology to collect real-time data such as location, status, temperature, and humidity. The data acquisition frequency can be adjusted according to actual needs to ensure the real-time nature and accuracy of the data. The data processing and analysis module cleans, integrates, and deeply analyzes the collected data. Big data analysis algorithms are used to identify bottlenecks, risks, and optimization points in logistics operations. For example, by analyzing vehicle travel trajectories and times, it identifies road segments and time periods with low transportation efficiency; by analyzing warehouse temperature and humidity data, it identifies abnormalities in the goods storage environment. The visualization display can present the analysis results in the form of charts, dashboards, etc. It supports multiple chart types, such as line charts to show the trend of transportation efficiency changes and bar charts to compare the storage volume of goods in each warehouse. It also supports customized display content and format to meet the needs of different users. By implementing this visualized logistics operation monitoring and management system, the efficiency and accuracy of logistics operation monitoring can be significantly improved, operating costs and risks can be reduced, and customer satisfaction and market competitiveness can be enhanced. Attached Figure Description
[0012] Figure 1 This is a schematic diagram of the structure of the visual logistics operation monitoring and management system of the present invention. Detailed Implementation
[0013] Specific Embodiment 1: A visualized logistics operation monitoring and management system includes a data acquisition module, a data processing and analysis module, a central control module, a visualization display module, a monitoring module, and an alarm module. Its features include: the data acquisition module for real-time acquisition of various data during logistics operations; the data processing and analysis module for filtering, integrating, and deeply analyzing the acquired data; the central control module for controlling and scheduling the entire system; the visualization display module for visually displaying the analysis results in various forms such as text, charts, and dashboards; and the monitoring module, under the control of the central control module, for monitoring the data processing and analysis module, the central control module, and the visualization display module. The monitoring module can issue an alarm through the alarm module upon detecting monitoring anomalies.
[0014] The data acquisition module connects to logistics equipment, vehicles, and warehouse management systems via IoT technology to collect location, status, temperature, and humidity data in real time. Data entry can be completed manually. The data processing and analysis module employs big data analytics algorithms to deeply analyze the collected data, identifying bottlenecks, risks, and optimization points in logistics operations. The visualization module includes both PC and mobile display terminals, supporting various chart types such as line charts, bar charts, and pie charts. The module allows for customization of display content and format based on user needs. The alarm module includes both audible and visual alarms.
[0015] The method of using the aforementioned visual logistics operation monitoring and management system is characterized by the following steps: (1) Data collection steps: Real-time collection of logistics operation data through Internet of Things technology; or manual entry of information. (2) Data processing and analysis steps: screening, integrating and in-depth analysis of the collected data; (3) Central control steps: The central control module can issue various instructions to complete the control and scheduling of the entire system; (4) Visualization display steps: The visualization display module visualizes the analysis results in various forms such as text, charts, and dashboards. (5) Monitoring module steps: The monitoring module can monitor the data processing and analysis module, the central control module and the visualization display module under the control of the central control module, and can issue an alarm through the alarm module when the monitoring module detects monitoring abnormalities.
[0016] This invention designs a visualized logistics operation monitoring and management system and its usage method. The data acquisition module of this system connects to logistics equipment, vehicles, and warehouse management systems via IoT technology to collect real-time data such as location, status, temperature, and humidity. The data acquisition frequency can be adjusted according to actual needs to ensure the real-time nature and accuracy of the data. The data processing and analysis module cleans, integrates, and deeply analyzes the collected data. Big data analysis algorithms are used to identify bottlenecks, risks, and optimization points in logistics operations. For example, by analyzing vehicle travel trajectories and times, it identifies road segments and time periods with low transportation efficiency; by analyzing warehouse temperature and humidity data, it identifies abnormalities in the goods storage environment. The visualization display can present the analysis results in the form of charts, dashboards, etc. It supports multiple chart types, such as line charts to show the trend of transportation efficiency changes and bar charts to compare the storage volume of goods in each warehouse. It also supports customized display content and format to meet the needs of different users. By implementing this visualized logistics operation monitoring and management system, the efficiency and accuracy of logistics operation monitoring can be significantly improved, operating costs and risks can be reduced, and customer satisfaction and market competitiveness can be enhanced.
[0017] For those skilled in the art, various variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations. However, obvious variations or modifications derived therefrom remain within the scope of this invention.
Claims
1. A visual logistics operation monitoring and management system, comprising a data acquisition module, a data processing and analysis module, a central control module, a visualization display module, a monitoring module, and an alarm module, characterized in that: The data acquisition module is used to collect various types of data during the logistics operation process in real time; the data processing and analysis module is used to filter, integrate, and perform in-depth analysis on the collected data; the central control module is used to control and schedule the entire system; the visualization display module visualizes the analysis results in various forms such as text, charts, and dashboards; the monitoring module can monitor the data processing and analysis module, the central control module, and the visualization display module under the control of the central control module, and can issue an alarm through the alarm module when the monitoring module detects monitoring anomalies.
2. The visual logistics operation monitoring and management system according to claim 1, characterized in that: The data acquisition module connects to logistics equipment, vehicles, and warehouse management systems via Internet of Things (IoT) technology to collect location, status, temperature, and humidity data in real time.
3. The visualized logistics operation monitoring and management system according to claim 1 or 2, characterized in that: The data acquisition module enables manual data entry.
4. The visual logistics operation monitoring and management system according to claim 1, characterized in that: The data processing and analysis module uses big data analysis algorithms to deeply mine the collected data, thereby identifying bottlenecks, risks, and optimization points in logistics operations.
5. The visual logistics operation monitoring and management system according to claim 1, characterized in that: The visualization module includes a PC display client and a mobile display client.
6. The visualized logistics operation monitoring and management system according to claim 1 or 5, characterized in that: The visualization module supports various chart types, including line charts, bar charts, and pie charts, and allows users to customize the content and format of the displays according to their needs.
7. The visual logistics operation monitoring and management system according to claim 1, characterized in that: The alarm module includes both audible and visual alarms.
8. The method of using the visual logistics operation monitoring and management system according to claim 1, characterized in that... The steps are as follows: (1) Data collection steps: Real-time collection of logistics operation data through Internet of Things technology; or manual entry of information. (2) Data processing and analysis steps: screening, integrating and in-depth analysis of the collected data; (3) Central control steps: The central control module can issue various instructions to complete the control and scheduling of the entire system; (4) Visualization display steps: The visualization display module visualizes the analysis results in various forms such as text, charts, and dashboards. (5) Monitoring module steps: The monitoring module can monitor the data processing and analysis module, the central control module and the visualization display module under the control of the central control module, and can issue an alarm through the alarm module when the monitoring module detects monitoring abnormalities.