An industrial communication system based on a 5G network and a communication method thereof

Abstract

One aspect of the technical solutions of the present application provides an industrial communication system based on a 5G network, characterized by comprising a network link acquisition module, a communication load balancing module, a distributed data acquisition module, a data analysis and statistics module, and a visualization module. Another aspect of the present application is to provide an industrial communication method based on a 5G network, characterized by using the above industrial communication system. The present application integrates the network link acquisition module, the communication load balancing module, the distributed data acquisition module, the data analysis and statistics module, and the visualization module to improve the efficiency and intelligent level of industrial communication. The present application can collect and analyze communication link traffic, equipment operating status and production data in real time, optimize resource use through load balancing scheduling, and display the analysis results in a visual form, thereby supporting enterprises to realize efficient, stable production and decision management.

Description

Technical Field

[0001] The present invention relates to an industrial communication solution based on the fifth-generation mobile communication technology (5G), which utilizes the high bandwidth, low latency, and large connection capabilities of the 5G network to optimize data transmission and real-time monitoring in industrial production processes, and belongs to the technical field of industrial communication systems. Background Art

[0002] With the rise of Industry 4.0, manufacturing and other industrial sectors are undergoing rapid digital and intelligent transformation. Traditional industrial communication systems typically rely on wired networks, which suffer from slow data transmission speeds, high latency, insufficient bandwidth, and poor scalability. These limitations hinder the efficiency and flexibility of industrial production.

[0003] The rapid development of 5G technology in recent years has provided new possibilities for addressing these issues. 5G networks meet the demands for real-time data transmission and efficient communication in industrial environments. 5G's advantages are particularly pronounced in real-time monitoring and control systems, significantly improving data processing speed and system responsiveness, thereby supporting more complex and sophisticated industrial operations. However, the effective application of 5G technology in industrial communication systems still faces many challenges, such as network coverage and reliability. Therefore, industrial communication systems based on 5G networks combined with load balancing technologies can fully realize the potential of 5G technology and address the shortcomings of existing technologies.

[0004] The Chinese invention patent application, with publication number CN118582661A, published on September 3, 2024, discloses an industrial gas management system based on 5G communication, providing an industrial gas management system that uses 5G communication technology to upload and record various real-time information of gas cylinders and monitor gas cylinders anytime and anywhere. This invention patent application controls the opening and closing of gas cylinders by remote control. In actual use, when an abnormal state of the gas cylinder is detected, the gas cylinder can also be remotely controlled to be closed, further ensuring the safety of use. Although this invention patent application monitors the gas cylinders through multiple sensor devices and 5G networks, it does not monitor or adjust the 5G network link, and cannot guarantee the reliability of 5G communication data transmission.

[0005] A Chinese invention patent, published on April 30, 2024, with publication number CN117952540A, discloses a 5G Industrial Internet integrated production and supply chain management system. This system ensures saturation of storage and transportation capacity while increasing supply-side output by adjusting the input of characteristic products at the production end, thereby effectively improving supply chain efficiency. While this invention primarily implements production and supply chain management and 5G communications, it lacks monitoring of equipment and production quality, and therefore cannot effectively provide data-driven decision-making recommendations.

[0006] The Chinese invention patent with the publication number CN117631598A disclosed on March 1, 2024 discloses a data acquisition system based on 5G network, which provides a data acquisition system based on 5G network, including collecting feature information based on data source acquisition requirements, configuring data acquisition parameter information, and then deploying channels for the data source end based on the data acquisition parameter information using 5G network technology, establishing a data acquisition multi-channel to collect industrial data from the data source end, and then preprocessing the collected multi-channel industrial data stream set through the data acquisition multi-channel to obtain a multi-channel standard industrial data stream set; allocating network resource slices for the data acquisition multi-channel to integrate and transmit the multi-channel standard industrial data stream set to the industrial data cloud end for label storage processing. The invention basically realizes 5G communication and data acquisition, and also improves the data acquisition accuracy and security through 5G network slicing, but does not further explain data monitoring and display, and does not have good user experience. SUMMARY

[0007] The purpose of the present application is to provide an industrial communication system based on 5G network combined with load technology, which fully develops the potential of 5G technology.

[0008] In order to achieve the above purpose, one aspect of the technical solution of the present application provides an industrial communication system based on 5G network, characterized in that it comprises a network link acquisition module, a communication load balancing module, a distributed data acquisition module, a data analysis and statistics module, and a visualization module, wherein:

[0009] The network link acquisition module adopts a 5G communication interface, which is used to collect network flow data on each communication link of the distributed communication link in real time, and transmit the network link flow data to the communication load balancing module;

[0010] The communication load balancing module analyzes the link load state based on the collected network flow data using a dynamic weight distribution algorithm, identifies the bottleneck and potential high load area, and according to the analysis result, schedules the distributed acquisition module in real time to realize flow dynamic balance and optimize network performance;

[0011] The distributed data acquisition module is used to connect various data acquisition devices, and the data acquisition devices transmit data to the distributed data acquisition module through 5G network using MQTT protocol / HTTP protocol, and the distributed data acquisition module adjusts the distributed strategy in time according to the communication link load analysis result given by the communication load balancing module;

[0012] A data analysis and statistics module is configured to perform deep analysis and statistics on the data uploaded by the distributed data collection module, and realize functions including industrial communication system energy consumption analysis, production efficiency evaluation, device fault early warning, and product quality monitoring.

[0013] A visualization module is configured to display key information including network link traffic, various production data, and analysis results in real time.

[0014] Preferably, the network traffic data includes bandwidth occupancy, packet loss rate, and delay.

[0015] Preferably, the communication load balancing module schedules the distributed collection module in real time according to the link load control quantity of each communication link in the distributed communication link, wherein:

[0016] The link load control quantity of the ith communication link is represented as ΔF(i), and has:

[0017] ΔF(i) = ΔF balanced (i) + ΔF jam (i)

[0018] In the formula: ΔF ham (i) is the communication link congestion load control quantity of the ith communication link, δ0 is a pre-set threshold value, and δ is the communication link load degree of the ith communication link, Y i is the link load quantity, Y i = n i K i x(t), n i is the number of nodes contained in the communication link, K i is a load balancing coefficient, x(t) is real-time collection of communication link traffic data, C i is the communication link capacity of the ith communication link, C i = m dct (W(i) + B(i)), m dct is a matrix determinant function, W(i) and B(i) are a communication link unit matrix and a bandwidth value;

[0019] ΔF balanced (i) is the load balancing control quantity of the ith communication link,

[0020] Preferably, when the distributed collection module is scheduled in real time according to the link load control quantity:

[0021] If the communication link control quantity result of the current communication link is positive, the load of the current communication link is scheduled to other communication links, that is, the distributed link scheduling information containing the communication link control quantity result being negative is transmitted to the data acquisition device of the current communication link through the distributed acquisition module, and the data acquisition device receiving the distributed link scheduling information connects other distributed communication links based on the scheduling information to perform data transmission.

[0022] Another aspect of the present application is to provide a 5G network-based industrial communication method, characterized in that the above-mentioned industrial communication system is used, comprising the following steps:

[0023] The network link acquisition module acquires network traffic data on each communication link of the distributed communication link in real time through a 5G communication interface, and transmits the network link traffic data to the communication load balancing module.

[0024] The communication load balancing module analyzes the link load state based on the acquired network traffic data using a dynamic weight distribution algorithm, identifies the bottleneck and potential high-load area, and adjusts the distributed acquisition module in real time according to the analysis result to realize dynamic traffic balancing and optimize network performance.

[0025] The distributed data acquisition module interfaces with various data acquisition devices, and the data acquisition devices transmit data to the distributed data acquisition module through a 5G network using MQTT protocol / HTTP protocol, and the distributed data acquisition module adjusts the distributed strategy in a timely manner according to the communication link load analysis result given by the communication load balancing module.

[0026] The data analysis and statistics module performs in-depth analysis and statistics on the data uploaded by the distributed data acquisition module.

[0027] The visualization module displays key information including network link traffic, various production data, and analysis results in real time.

[0028] The present application integrates a network link acquisition module, a communication load balancing module, a distributed data acquisition module, a data analysis and statistics module, and a visualization module to improve the efficiency and intelligent level of industrial communication.

[0029] Compared with the prior art, the present application has the following advantages:

[0030] (1) Improve system real-time performance and reliability: The system uses the network link acquisition module to achieve real-time monitoring of the industrial site network status, and can quickly identify link problems such as delays and packet loss, so as to adjust the communication link in time to ensure real-time and reliable communication;

[0031] (2) Improve production efficiency and product quality: Through the communication load balancing module, data flow is intelligently scheduled to the optimal link, reducing data transmission delays, improving the overall response speed and processing speed of the system, and thus improving production efficiency and production quality;

[0032] (3) Data-driven decision support: The data analysis and statistics module provides in-depth analysis and prediction models to help management understand production trends, energy consumption patterns, etc., support data-driven decision-making, and improve management efficiency.

[0033] In summary, the 5G-based industrial communication system and communication method disclosed in this invention enable dynamic 5G communication scheduling and improve the real-time and reliability of data transmission. These benefits will provide enterprises with more efficient and intelligent production management and decision-making support, promoting the development and progress of the industrial sector. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 A diagram showing the architecture of a specific embodiment designed for the present invention;

[0035] Figure 2 Schematic diagram of the link designed for the present invention. DETAILED DESCRIPTION

[0036] Below in conjunction with specific embodiment, further set forth the present invention.Should be understood that these embodiments are only used to illustrate the present invention and are not used in limiting the scope of the present invention.In addition, should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall equally within the scope limited by the appended claims of the application.

[0037] An embodiment of the present invention discloses an industrial communication system based on a 5G network, including: a network link acquisition module, a communication load balancing module, a distributed data acquisition module, a data analysis and statistics module, and a visualization module.

[0038] The network link acquisition module uses a 5G communication interface to collect real-time network traffic data on the communication link. In this embodiment of the present invention, this network traffic data includes, but is not limited to, key indicators such as bandwidth utilization, packet loss rate, and latency. The network link acquisition module uses efficient data storage and transmission technology to transmit network link traffic data to the communication load balancing module.

[0039] The communication load balancing module analyzes the link load state by using a dynamic weight distribution algorithm based on the collected network traffic data, identifies the bottleneck and potential high load area, and according to the analysis result, schedules the distributed collection module in real time to realize dynamic balance of traffic, optimize network performance, and ensure the stability and efficiency of data transmission.

[0040] In the embodiment of the application, the communication link load calculation formula used by the communication load balancing module is as follows:

[0041] Y i =n i K i x(t)

[0042] In the formula, n i is the number of nodes contained in the communication link, K i is the load balancing coefficient, x(t) is the real-time collected communication link traffic data, and Y i is the link load.

[0043] The current link load degree detection result can be obtained by comprehensively considering the 5G communication capacity, and the capacity calculation formula is:

[0044] C i =m dct (W(i)+B(i))

[0045] In the formula, m dct is a matrix determinant function, W(i) and B(i) are the unit matrix and bandwidth value of the communication link, which can be obtained from the communication link collection module, and C i is the communication link capacity.

[0046] Further, the communication load balancing module obtains the detection result of the 5G communication link load degree according to .

[0047] After obtaining the 5G communication link load state (i.e., the detection result of the 5G communication link load degree), the link with load congestion is controlled and scheduled to relieve the congestion degree, and the communication link congestion load control amount ΔF jam (i) is:

[0048]

[0049] In the formula, δ is the communication link load degree, δ0 is the set threshold, and the load balancing control amount ΔF balanced (i) is calculated according to the congestion load control amount.

[0050]

[0051] In formula (4), n lis the number of links in the communication network, and the load control quantity ΔF(i) of any i-th link is:

[0052] ΔF(i)=ΔF balanced (i)+ΔF jam (i)

[0053] The communication load balancing module gives the calculated load control quantity of any link to the distributed data acquisition module.

[0054] The distributed data acquisition module is primarily used to connect to various data acquisition devices. In this embodiment of the present invention, these data acquisition devices include energy consumption data acquisition devices, production data acquisition devices, operational data acquisition devices, and quality data acquisition devices. The data acquisition devices transmit data to the distributed data acquisition module via the 5G network using the MQTT / HTTP protocol. The distributed data acquisition module promptly adjusts the distribution strategy based on the communication link load analysis results.

[0055] According to the communication link control quantity result, if the communication link control quantity result of the current link is positive, the load of the current link needs to be scheduled to other links, that is, the distributed link scheduling information containing the negative communication link control quantity result is transmitted to the data acquisition device of the current link through the distributed acquisition module. The data acquisition device that receives the distributed link scheduling information connects to other distributed communication links for data transmission based on the scheduling information.

[0056] The data analysis and statistics module is used to conduct in-depth analysis and statistics on the data uploaded by the distributed data acquisition module. It mainly uses data mining and other technologies, including: data cleaning, data classification, data statistics, data analysis, to realize industrial communication system energy consumption analysis, production efficiency evaluation, equipment failure warning, product quality monitoring and other functions.

[0057] The visualization module develops a user-friendly visualization interface that displays key information such as network link traffic, various production data, and analysis results in real time. In this embodiment of the present invention, the visualization module supports multiple visualization formats, such as dashboards, line charts, and heat maps, to help managers intuitively understand production status, quickly identify problems, and respond accordingly.

[0058] In the technical solution disclosed in the embodiment of the present invention, the data acquisition equipment establishes a communication connection with the distributed acquisition module through the 5G network. The network link acquisition module collects traffic data in real time. The distributed data acquisition module dynamically adjusts the link according to the analysis results of the communication load balancing module to ensure efficient and stable transmission of various types of production, quality and other data.

[0059] The technical solution for a 5G-based industrial communication system involves multiple key technologies, creating an efficient and intelligent industrial communication system. This system can collect, process, and visualize various data from industrial production processes in real time, providing strong technical support for production management. Furthermore, by optimizing communication link configuration and data analysis and statistics, it effectively improves data transmission stability and reliability, reduces data transmission latency, and provides strong support for the intelligent transformation of industrial enterprises.

[0060] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the description. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the following specific embodiments of the present invention are given. Figure 1 Although the system and method disclosed in this patent application are described in detail, it is obvious that the described examples are only some embodiments of the present invention, rather than all embodiments.

[0061] Example: An industrial communication system based on a 5G network in an automotive parts production line

[0062] S1: Deploy network link traffic collectors in automotive parts production workshops to collect metrics such as bandwidth, latency, and packet loss rate of all network links in the workshops and transmit them to the industrial communication system.

[0063] S2: Four data acquisition devices and four switches are deployed on the production line. The data acquisition devices are equipped with 5G communication modules. The data acquisition devices are connected to the production line PLC control system to collect production data such as real-time manufacturing data, workpiece status, and production workpiece type information, as well as operational data such as equipment status and processing status. The data acquisition devices are connected to the production line industrial computer system to collect component welding and production quality data. The data acquisition devices are connected to smart meters and other devices to collect production workshop energy consumption data. The distributed data acquisition module of the industrial communication system dynamically sends link path scheduling information to the data acquisition devices in real time, adjusts the communication link in real time, and ensures that the transmission of information is real-time, efficient, and reliable.

[0064] S3: The industrial communication system performs load balancing analysis based on the link network information collected by the network link traffic collector. The component production line includes: PLC control system, production line temperature and humidity sensors, speed sensors, displacement sensors, smart meters, and industrial computers. The communication link includes:

[0065] (1) Production data link: PLC control system, acquisition equipment, switch to industrial communication system;

[0066] (2) Equipment operation data link: various sensors, acquisition devices, switches to industrial communication systems;

[0067] (3) Quality data link: industrial computers, acquisition equipment, switches to industrial communication systems;

[0068] (4) Energy consumption data link: smart meters, data collection equipment, switches to industrial communication systems;

[0069] The communication load balancing module analyzes the four communication links involved and transmits the load results to the distributed acquisition module;

[0070] S4: The distributed acquisition module performs dynamic scheduling based on the load control results of the four links. The four acquisition devices are connected to the four switches respectively. Figure 2 As shown in the figure, only one link is activated for each data transmission, ensuring that there are 4 activated links in the entire system. When the load control quantity of the production data link is positive and the energy consumption data link is negative, the distributed data collection module publishes scheduling information to the production data link collection device, instructing it to close the original connection link and activate the energy consumption data link for data transmission. The same scheduling scheme is used for other links in similar situations.

[0071] S5: The industrial communication system data analysis and statistics module analyzes production data, quality data, equipment operation data, and energy consumption data, mainly including: production line efficiency, component output rate, total component output, component qualification rate, component failure classification statistics, daily power consumption, unit component power consumption, production line real-time warning statistics, and real-time status of production line equipment;

[0072] S6: Based on the data analysis results, use pie charts, bar charts, line charts, etc. to visualize the analysis data, as shown in the following table.

[0073] Data Category Display method Production line efficiency Dashboard display Parts yield trend Line chart display Total parts production Numerical display Parts qualification rate Pie chart display Classification statistics of unqualified parts Pie chart display Daily power consumption Histogram display Power consumption per component Histogram display Real-time early warning statistics for production lines List display Real-time status of production line equipment Different status indicator lights display Network link traffic Line chart display

Claims

1. An industrial communication system based on 5G network, characterized in that: It includes network link acquisition module, communication load balancing module, distributed data acquisition module, data analysis and statistics module and visualization module, among which: The network link collection module uses a 5G communication interface to collect network traffic data on each communication link of the distributed communication link in real time, and transmit the network link traffic data to the communication load balancing module; The communication load balancing module uses a dynamic weight distribution algorithm to analyze the link load status based on the collected network traffic data, identify bottlenecks and potential high-load areas, and schedule distributed collection modules in real time based on the analysis results to achieve dynamic traffic balancing and optimize network performance. The communication load balancing module schedules the distributed acquisition module in real time according to the link load control amount of each communication link in the distributed communication link, where: The link load control quantity of the i-th communication link is expressed as ΔF(i), then: ΔF(i)=ΔF balanced (i)+ΔF jam (i) Where: ΔF jam (i) is the communication link congestion load control quantity of the i-th communication link, δ0 is the preset threshold, δ is the communication link load level of the i-th communication link, Y i is the link load, Y i =n i K i x(y),n i is the number of nodes included in the communication link, K i is the load balancing coefficient, x(t) is the real-time collected communication link traffic data, C i is the communication link capacity of the i-th communication link, C i =m dct (W(i)+B(i)), m dct is the matrix determinant function, W(i) and B(i) are the communication link unit matrix and bandwidth value; ΔF balanced (i) is the load balancing control quantity of the i-th communication link, n l is the number of communication network links; The distributed data acquisition module is used to connect to various data acquisition devices. The data acquisition devices transmit data to the distributed data acquisition module through the 5G network using the MQTT protocol / HTTP protocol. The distributed data acquisition module adjusts the distribution strategy in a timely manner based on the communication link load analysis results provided by the communication load balancing module. The data analysis and statistics module is used to conduct in-depth analysis and statistics on the data uploaded by the distributed data acquisition module, realizing functions including energy consumption analysis of industrial communication systems, production efficiency evaluation, equipment failure warning, and product quality monitoring; The visualization module is used to display key information including network link traffic, various production data, and analysis results in real time.

2. The industrial communication system based on a 5G network according to claim 1, characterized in that: The network traffic data includes bandwidth occupancy, packet loss rate, and delay.

3. The industrial communication system based on a 5G network according to claim 1, characterized in that: When real-time scheduling of distributed acquisition modules is performed based on the link load control quantity: If the communication link control quantity result of the current communication link is positive, the load of the current communication link will be scheduled to other communication links, that is, the distributed link scheduling information containing a negative communication link control quantity result will be transmitted to the data acquisition device of the current communication link through the distributed acquisition module. The data acquisition device that receives the distributed link scheduling information will connect to other distributed communication links for data transmission based on the scheduling information.

4. An industrial communication method based on 5G network, characterized in that: The industrial communication system according to claim 1 comprises the following steps: The network link collection module uses the 5G communication interface to collect network traffic data on each communication link of the distributed communication link in real time, and transmits the network link traffic data to the communication load balancing module; The communication load balancing module uses a dynamic weight distribution algorithm to analyze the link load status based on the collected network traffic data, identify bottlenecks and potential high-load areas, and schedule distributed collection modules in real time based on the analysis results to achieve dynamic traffic balancing and optimize network performance. The distributed data acquisition module connects to a variety of data acquisition devices. The data acquisition devices transmit data to the distributed data acquisition module through the 5G network using the MQTT protocol / HTTP protocol. The distributed data acquisition module adjusts the distribution strategy in a timely manner based on the communication link load analysis results provided by the communication load balancing module. The data analysis and statistics module conducts in-depth analysis and statistics on the data uploaded by the distributed data acquisition module; The visualization module displays key information including network link traffic, various production data, and analysis results in real time.

Images