5G and satellite flash short-distance fusion industrial wireless network system

Abstract

The invention provides a 5G and satellite flash short distance fusion industrial wireless network system, the system comprises an end side, a side side and a cloud side, the end side comprises a plurality of industrial devices and a plurality of 5G communication units, each industrial device is configured with a satellite flash short distance module, and part of the industrial devices are also configured with 5G communication components; the side comprises a 5G CU unit and an edge computing server, and the 5G CU unit is used for receiving data of the end side and the cloud side and forwarding data transmitted to the end side by the 5G CU unit and the cloud side; the edge computing server is used for executing an edge computing task based on the data received by the 5G CU unit; the cloud side comprises a cloud platform or a data center, and the cloud platform or the data center is used for receiving and storing data transmitted by the end side and the side side and executing data analysis based on the received data. The characteristics of 5G wide area coverage and star flash short-distance communication are combined, and comprehensive wireless connection of industrial equipment is achieved.

Description

Technical Field

[0001] The present invention relates to a wireless communication network, and more specifically to a 5G and StarFlash short-distance integrated industrial wireless network system. Background Art

[0002] In the era of Industry 4.0, the digitalization, networking, and intelligent development of the industrial manufacturing system is highly dependent on the upgrading and construction of industrial networks. Industrial communication networks are evolving from fieldbuses to industrial Ethernet and industrial wireless networks. Wired networks have insurmountable difficulties in terms of installation accessibility, coverage, flexibility, and maintainability, resulting in the inability to effectively collect and circulate data in industrial field networks. Moreover, the physical connection method of wires limits the dynamic changes in network connection topology. In view of the flexible production, intelligent warehousing and logistics and other needs proposed by future intelligent manufacturing, cable-free is an important development direction of industrial networks.

[0003] The demand for wireless connections in industrial networks is growing. However, existing traditional wireless networks such as WiFi, Bluetooth, and Zigbee have problems such as limited coverage, poor network stability, and insufficient terminal connection rate. The 5G standard led by the 3rd Generation Partnership Project (3GPP) can support communication capabilities such as 10-20Gbps peak rate, 1ms air interface latency, 99.999% reliability, and millions of devices connected per square kilometer.

[0004] Programmable logic controller (PLC) is a typical representative of modern industrial control systems. However, the capacity and computing power of local PLCs are limited, and the protocols between different PLCs are incompatible, making it difficult to meet the production needs of large-scale, flexible connection, intelligent, and collaborative control of complex industrial networks in the future. Cloud PLC technology based on 5G can decouple the physical binding of network and control, flexibly arrange the connection relationship between network and control, and quickly adapt to the needs of flexible production adjustment; at the same time, integrating software definition, artificial intelligence, cloud computing, edge computing and other capabilities can improve the intelligence and wide-area collaborative capabilities of industrial production. "5G+Cloud PLC" is a current research hotspot in industrial networks and is leading the intelligent transformation of industrial control systems.

[0005] In order to meet the demand for wireless connections in industrial networks, the existing technology has proposed a partially centralized PLC industrial network architecture based on two-level PLCs. The master PLC is centrally deployed on the mobile edge computing (MEC) server through virtualization. The master PLC and the slave PLC are connected through 5G wireless links, and the slave PLC is connected to the input / output (I / O) driver using a traditional wired distributed method. This partially centralized architecture can achieve collaborative control between master PLCs and flexible connections between master PLCs and slave PLCs. At the same time, the existing technology has also proposed a new industrial networking architecture based on 5G full-connection centralized PLC. All PLC functions in this architecture are integrated and deployed on the 5G MEC through virtualization. The virtualized PLC and I / O driver are connected wirelessly. This fully connected centralized architecture can achieve efficient collaboration of global centralized virtualized PLCs.

[0006] Although the industrial network architecture proposed by the prior art can cope with the wireless connection requirements in the industrial network, the existing industrial network architectures all have defects. For the partially centralized PLC industrial network architecture based on two-level PLC, this partially centralized architecture can realize the coordinated control between the master PLC and the flexible connection between the master PLC and the slave PLC, but the local slave PLC and the I / O driver still use a wired fixed connection. For the new industrial networking architecture of centralized PLC based on 5G full connection, this architecture can realize the efficient collaboration of the global centralized virtualized PLC; however, this architecture requires that all device I / O drivers are connected to the virtualized PLC through 5G wireless communication, which is very costly. The price of a 5G terminal module is as high as several thousand yuan; further considering the access capacity of the base station, multiple 5G base stations need to be deployed in the factory according to the equipment connection requirements. The price of a base station is as high as hundreds of thousands of yuan. To achieve full 5G coverage of the factory requires huge capital investment. Summary of the invention

[0007] Therefore, the purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide an industrial wireless network system integrating 5G and StarFlash short-distance and a method for executing computing tasks.

[0008] The objectives of the present invention are achieved through the following technical solutions.

[0009] According to a first aspect of the present invention, there is provided an industrial wireless network system integrating 5G and StarFlash short-range, the system comprising an end side, an edge side and a cloud side, wherein: the end side comprises a plurality of industrial devices and a plurality of 5G communication units, each industrial device is equipped with a StarFlash short-range module, and some industrial devices are also equipped with a 5G communication component; wherein, the industrial device equipped with a 5G communication component and a StarFlash short-range module is connected to the 5G communication unit through the 5G communication component, or is connected to other industrial devices equipped with a 5G communication component and a StarFlash short-range module through the StarFlash short-range module to achieve connection with the 5G communication unit; the industrial device equipped only with the StarFlash short-range module is connected to other industrial devices equipped with a 5G communication component and a StarFlash short-range module through the StarFlash short-range module to achieve connection with the 5G communication unit; each 5G communication unit is used to realize communication between the industrial device to which it is connected and the edge side or the cloud side; the edge side comprises a 5G CU unit and an edge computing server, wherein the 5G The CU unit is used to receive data from the end side and the cloud side, and to forward data transmitted by itself and the cloud side to the end side; the edge computing server is used to perform edge computing tasks based on the data received by the 5G CU unit; the cloud side includes a cloud platform or a data center, wherein the cloud platform or the data center is used to receive and store data transmitted from the end side and the edge side, and to perform data analysis based on the received data.

[0010] In some embodiments of the present invention, the multiple 5G communication units include multiple 5G base station distributed units and / or multiple active antenna units.

[0011] In some embodiments of the present invention, the edge computing server and the 5G CU unit in the edge are centrally deployed, wherein the centralized deployment method indicates that the edge computing server and the 5G CU unit share computing resources in the edge.

[0012] In some embodiments of the present invention, the edge computing server and the 5G CU unit in the edge side are deployed in a distributed manner, wherein the distributed deployment manner indicates that the edge computing server and the 5G CU unit are each configured with corresponding computing resources in the edge side.

[0013] In some embodiments of the present invention, the industrial wireless network system coordinates the end side, edge side and cloud side to perform computing tasks in a computing offloading manner.

[0014] In some embodiments of the present invention, the method of computing offloading is: dividing the task into local computing tasks, edge computing tasks and / or cloud computing tasks based on the characteristics of the computing task, and assigning the local computing tasks after task division to the terminal side for execution, the edge computing tasks to the edge side for execution, and the cloud computing tasks to the cloud side for execution.

[0015] In some embodiments of the present invention, the end side also includes a plurality of industrial devices that are only configured with 5G communication components.

[0016] According to a second aspect of the present invention, a method for executing a computing task is provided, the method comprising: step S1, obtaining a computing task to be executed; step S2, using the system described in the first aspect of the present invention to execute the task to be calculated to obtain a task execution result.

[0017] Compared with the prior art, the advantages of the present invention are: (1) combining the characteristics of 5G wide-area coverage and StarFlash short-range communication, it realizes comprehensive wireless connection of industrial equipment; (2) introducing industrial equipment equipped with StarFlash short-range modules and 5G communication components, it can realize the integration of 5G and StarFlash networks at the top and realize low-cost large-scale wireless connection of industrial field equipment at the bottom. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The embodiments of the present invention are further described below with reference to the accompanying drawings, in which:

[0019] Figure 1 This is a schematic diagram of the structure of an industrial wireless network system integrating 5G and Star Flash short-distance according to an embodiment of the present invention;

[0020] Figure 2 An exemplary schematic diagram of an industrial wireless network system according to an embodiment of the present invention;

[0021] Figure 3 Schematic diagram of an industrial wireless network system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below through specific embodiments in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0023] As mentioned in the background technology section, although the industrial network architecture proposed by the prior art can cope with the wireless connection requirements in the industrial network, the existing industrial network architectures all have defects. For the partially centralized PLC industrial network architecture based on two-level PLC, this partially centralized architecture can realize the coordinated control between the master PLC and the flexible connection between the master PLC and the slave PLC, but the local slave PLC and the I / O driver still use a wired fixed connection. For the new industrial networking architecture of centralized PLC based on 5G full connection, this architecture can realize the efficient collaboration of the global centralized virtualized PLC; however, this architecture requires that all device I / O drivers are connected to the virtualized PLC through 5G wireless communication, which is very costly. The price of a 5G terminal module is as high as several thousand yuan; further considering the access capacity of the base station, multiple 5G base stations need to be deployed in the factory according to the equipment connection requirements. The price of a base station is as high as hundreds of thousands of yuan. To achieve full 5G coverage of the factory requires huge capital investment.

[0024] In order to solve the above problems, the inventors proposed that 5G and Star Flash short-range wireless communication can be integrated to achieve wireless deployment and solve the problem of high capital investment. Simply put, under the coverage of 5G cellular, industrial equipment equipped with Star Flash short-range modules is used to extend 5G services, thereby reducing the deployment of 5G base stations while achieving full wireless connection communication. Among them, the Star Flash short-range technical standard for the new generation of wireless short-range communication can support a transmission rate of 900Mbps, a one-way delay of 20 microseconds, a synchronization accuracy of 1 microsecond, 99.999% reliability, and 80 nodes concurrent communication within milliseconds. It can be seen that Star Flash short-range communication technology has the communication requirements of low latency, ultra-reliability, large connection, and large bandwidth. In addition, compared with 5G terminal modules, Star Flash short-range modules are cheaper, about tens to hundreds of yuan, and can be deployed in large quantities in short-range communication scenarios.

[0025] In summary, if Figure 1As shown, the present invention provides an industrial wireless network system that integrates 5G and Star Flash short-range, the system comprising an end side, an edge side and a cloud side, wherein: the end side comprises multiple industrial devices and multiple 5G communication units, each industrial device is equipped with a Star Flash short-range module, and some industrial devices are also equipped with a 5G communication component; wherein, the industrial equipment equipped with a 5G communication component and a Star Flash short-range module is connected to the 5G communication unit through the 5G communication component, or is connected to other industrial equipment equipped with a 5G communication component and a Star Flash short-range module through the Star Flash short-range module to achieve connection with the 5G communication unit; industrial equipment only equipped with a Star Flash short-range module is connected to other industrial equipment equipped with a 5G communication component and a Star Flash short-range module through the Star Flash short-range module to achieve connection with the 5G communication unit; each 5G communication unit is used to realize communication between the industrial equipment to which it is connected and the edge side or the cloud side; the edge side comprises 5G CU unit and edge computing server, wherein the 5GCU unit is used to receive data from the end side and the cloud side, and forward data transmitted by itself and the cloud side to the end side; the edge computing server is used to perform edge computing tasks based on the data received by the 5G CU unit; the cloud side includes a cloud platform or a data center, wherein the cloud platform or the data center is used to receive and store data transmitted from the end side and the edge side, and perform data analysis based on the received data.

[0026] In order to better understand the present invention, each component of the industrial wireless network system is described in detail below in conjunction with specific embodiments.

[0027] 1. Client side

[0028] The end side includes multiple industrial equipment and multiple 5G communication units, each industrial equipment is equipped with a Starflash short-range module, and some industrial equipment is also equipped with a 5G communication component; wherein, industrial equipment equipped with a 5G communication component and a Starflash short-range module is connected to the 5G communication unit through the 5G communication component, or is connected to other industrial equipment equipped with a 5G communication component and a Starflash short-range module through the Starflash short-range module to achieve connection with the 5G communication unit; industrial equipment only equipped with a Starflash short-range module is connected to other industrial equipment equipped with a 5G communication component and a Starflash short-range module through the Starflash short-range module to achieve connection with the 5G communication unit; each 5G communication unit is used to realize communication between the industrial equipment to which it is connected and the edge or cloud side.

[0029] According to one embodiment of the present invention, the end side also includes a plurality of industrial devices that are only configured with 5G communication components.

[0030] According to one embodiment of the present invention, the multiple 5G communication units include multiple 5G base station distributed units and / or multiple active antenna units.

[0031] Based on the above embodiments, it can be known that the end side can be composed of multiple industrial devices only equipped with StarFlash short-distance modules, multiple industrial devices equipped with StarFlash short-distance modules and 5G communication components, and multiple 5G communication units; it can also be composed of multiple industrial devices only equipped with StarFlash short-distance modules, multiple industrial devices equipped with StarFlash short-distance modules and 5G communication components, multiple industrial devices only equipped with 5G communication components, and multiple 5G communication units. It should be noted that the integration of 5G and StarFlash short-distance can provide wide-area / regional connections, and StarFlash short-distance can further extend 5G services and sink short-distance communications to the last ten to tens of meters of the core links of industrial production, such as short-distance communications inside closed metal bodies or robotic arms.

[0032] In order to better understand how each industrial device on the terminal side communicates with the edge side or cloud side, the communication method of each industrial device is explained below.

[0033] When industrial equipment equipped with only the Starflash short-distance module communicates with the edge side, it is connected to the industrial equipment equipped with the Starflash short-distance module and the 5G communication component through its own Starflash short-distance module, so as to connect to the 5G communication unit on the end side through the 5G communication component on the industrial equipment equipped with the Starflash short-distance module and the 5G communication component, and communicate with the edge side through the 5G communication unit. Similarly, when industrial equipment equipped with only the Starflash short-distance module communicates with the cloud side, it is connected to the industrial equipment equipped with the Starflash short-distance module and the 5G communication component through its own Starflash short-distance module, so as to connect to the 5G communication unit on the end side through the 5G communication component on the industrial equipment equipped with the Starflash short-distance module and the 5G communication component, and communicate with the cloud side through the 5G communication unit.

[0034] When industrial equipment equipped with Starflash short-distance modules and 5G communication components communicate with the edge side, it is connected to the 5G communication unit on the end side through its own 5G communication components, and communicates with the edge side through the 5G communication unit; or it is connected to other industrial equipment equipped with 5G communication components and Starflash short-distance modules through the Starflash short-distance modules to achieve connection with the 5G communication unit, and communicates with the edge side through the 5G communication unit. Similarly, when industrial equipment equipped with Starflash short-distance modules and 5G communication components communicate with the cloud side, it is connected to the 5G communication unit on the end side through its own 5G communication components, and communicates with the cloud side through the 5G communication unit; or it is connected to other industrial equipment equipped with 5G communication components and Starflash short-distance modules through the Starflash short-distance modules to achieve connection with the 5G communication unit, and communicate with the cloud side through the 5G communication unit. It should be noted that industrial equipment equipped with Starflash short-range modules and 5G communication components can randomly select a connection method to connect to the 5G communication unit to achieve communication with the edge or cloud side; it can also determine how to connect to the 5G communication unit based on data transmission requirements. For example, in short-distance transmission, it can be connected to the 5G communication unit through other industrial equipment equipped with Starflash short-range modules and 5G communication components; in long-distance transmission, it can choose to connect directly to the 5G communication unit. It should also be noted that for industrial equipment equipped with Starflash short-range modules and 5G communication components, the integration of 5G and Starflash networks can be achieved upward, and low-cost large-scale connection of industrial field equipment can be achieved downward.

[0035] When industrial equipment equipped with only 5G communication components communicates with the edge side, it connects to the 5G communication unit on the end side through its own 5G communication components, and performs 5G communication with the edge side through the 5G communication unit. Similarly, when industrial equipment equipped with only 5G communication components communicates with the cloud side, it connects to the 5G communication unit on the end side through its own 5G communication components, and performs 5G communication with the cloud side through the 5G communication unit.

[0036] 2. Side

[0037] The edge side includes a 5G CU unit and an edge computing server, wherein the 5G CU unit is used to receive data from the end side and the cloud side, and forward data transmitted by itself and the cloud side to the end side; the edge computing server is used to perform edge computing tasks based on the data received by the 5G CU unit

[0038] According to one embodiment of the present invention, the edge computing server and the 5G CU unit in the edge side are centrally deployed, wherein the centralized deployment method indicates that the edge computing server and the 5G CU unit share computing resources in the edge side.

[0039] According to one embodiment of the present invention, the edge computing server and the 5G CU unit in the edge side are deployed in a distributed manner, wherein the distributed deployment manner indicates that the edge computing server and the 5G CU unit are each configured with corresponding computing resources in the edge side.

[0040] 3. Cloud side

[0041] The cloud side includes a cloud platform or a data center, wherein the cloud platform or the data center is used to receive and store data transmitted from the end side and the edge side, and perform data analysis based on the received data.

[0042] According to one embodiment of the present invention, the industrial wireless network system coordinates the end side, edge side and cloud side to perform computing tasks in a computing offloading manner.

[0043] According to one embodiment of the present invention, the method of computing offloading is: based on the characteristics of the computing tasks, the tasks are divided into local computing tasks, edge computing tasks and / or cloud computing tasks, and the local computing tasks after task division are assigned to the terminal side for execution, the edge computing tasks are assigned to the edge side for execution, and the cloud computing tasks are assigned to the cloud side for execution.

[0044] It should be noted that computing offloading usually implements task segmentation based on the characteristics of the computing task itself. For example, for computing tasks with high latency requirements, the computing tasks can be assigned to the edge or end side for execution; for computing tasks with low latency requirements, the computing tasks can be assigned to the cloud side for execution; for example, for distributed model training tasks, considering that the data collected by each industrial equipment may be different, each industrial equipment can use its own configured computing resources to perform local training to obtain its own local model, and then pass the local model parameters of each industrial equipment to the edge or cloud side to perform parameter aggregation to obtain the final global model.

[0045] It should also be noted that there is no exact task segmentation standard for the computing offloading method, and task segmentation needs to be performed according to the actual computing task characteristics. The present invention does not impose any special restrictions. At the same time, when performing task segmentation based on the computing task characteristics, the computing resources on the end side, edge side and cloud side can also be considered to better perform task segmentation. For example, when each industrial device on the end side can perform computing tasks according to its own configured computing resources, task segmentation is not performed; on the contrary, when each industrial device on the end side cannot perform computing tasks according to its own configured computing resources, task segmentation is required, and when performing task segmentation, priority is given to allocating time-sensitive (high latency requirements) computing tasks to the industrial devices on the end side for processing, and time-insensitive computing tasks are allocated to the end side or cloud side for processing; if the computing resources configured by the industrial devices on the end side themselves cannot meet the needs of time-sensitive computing tasks, the time-sensitive computing tasks are allocated to the edge side for processing; at the same time, for time-insensitive computing tasks, when the computing resources configured on the edge side cannot meet the needs of time-insensitive computing tasks, the time-insensitive computing tasks are allocated to the cloud side for processing.

[0046] In order to better understand the present invention, Figure 2 and Figure 3 The industrial wireless network system is shown as an example for explanation.

[0047] exist Figure 2 In the example, the device side includes multiple industrial devices equipped with only StarFlash short-range modules, multiple industrial CPE devices (customer premise equipment), and multiple 5G base station distributed units (5G DU) or multiple active antenna units (5G AAU); the edge side includes edge computing servers (MEC servers) and 5G CU units; the cloud side includes multiple factory cloud platforms or data centers. Figure 2 The end side, edge side, and cloud side shown in the figure are explained.

[0048] Depend on Figure 2 It can be seen that the one on the left side of the terminal is an industrial CPE device, the one on the right is an industrial device equipped only with the StarFlash short-range module, and the one on the top is a 5G DU or 5G AAU.

[0049] Among them, the industrial CPE device is equipped with a StarFlash short-distance module and a 5G communication component, and can be connected to the 5G DU or 5G AAU through its own 5G communication component to achieve communication between the edge and cloud sides; at the same time, because the industrial CPE device integrates the gateway function, it can convert 5G and StarFlash short-distance protocols. Therefore, the industrial CPE device can also be used as a management node to access industrial equipment that is only equipped with a StarFlash short-distance module, so as to connect to the 5G DU or 5G AAU through its own 5G communication component to achieve communication between the industrial equipment that is only equipped with a StarFlash short-distance module and the edge and cloud sides. In addition, the industrial CPE device can also be used as a management node to access other industrial CPE devices, so as to connect to the 5G DU or 5G AAU through its own 5G communication component to achieve communication between other industrial CPE devices and the edge and cloud sides. It should be noted that, based on data collection, industrial CPE equipment integrates technologies such as mobile edge computing and artificial intelligence, and can realize virtualization of slave PLC and end-side computing on industrial CPE equipment, so that it can realize positioning perception, end-side computing and other capabilities on industrial field equipment, and from the deployment of PLC, it can also improve low-latency and high-reliability transmission services in one step. At the same time, after the industrial CPE equipment integrates virtualized slave PLC and end-side computing, it can fully decouple the hard connection between PLC and I / O driver by virtualizing PLC, and support flexible connection and equipment mobility. It should also be noted that in addition to virtualized slave PLC and end-side computing, industrial CPE equipment can also be configured with other functions. The specific supported functions can be determined by actual needs, and the present invention does not impose special restrictions.

[0050] Industrial equipment that is only equipped with the StarFlash short-range module cannot be directly connected to the 5G DU or 5G AAU. It needs to be connected to the 5G DU or 5G AAU through the industrial CPE device after protocol conversion, and then communicate with the edge and cloud sides. Among them, industrial equipment that is only equipped with the StarFlash short-range module can support functions such as I / O drive conversion, information collection, perception positioning and end-side computing. Similar to industrial CPE equipment, industrial equipment that is only equipped with the StarFlash short-range module can also support other functions. The specific supported functions can be determined by actual needs, and the present invention does not impose special restrictions.

[0051] 5G DU or 5G AAU is a front-end RF transmission and reception unit after the decoupling of the centralized unit (CU) of the base station and the DU. It can be deployed on the terminal side as needed, and combined with the characteristics of 5G and Star Flash's short-distance, low-latency, high-reliability, large connection and large bandwidth, it can achieve low-latency and high-reliability distribution of control signals, collection and transmission of massive field data, etc. At the same time, the use of wireless transmission can support node mobility and perform seamless and fast switching based on signal strength and task connection relationship.

[0052] Depend on Figure 2 It can be seen that the edge side includes an MEC server and a 5G CU unit, and in Figure 2 the shown industrial wireless network system example, the MEC server and the 5G CU unit adopt a centralized deployment method. When the MEC server and the 5G CU unit are centrally deployed, shared computing resources are used to achieve edge centralized processing of communication protocols, cloud-based deployment of the main PLC, deployment of various industrial application APPs, and edge computing. Among them, the industrial application APPs include cloud-based AGV, vision detection, data acquisition, intelligent control, and inference decision-making, etc.

[0053] From Figure 2 it can be seen that the cloud side consists of multiple factory cloud platforms or data centers. This enables all originally dispersed business systems, such as the Manufacturing Execution System (MES), Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), etc., to be centrally deployed to the factory cloud platform or data center. As a result, the data generated by each networking device and business process can be real-time aggregated to the factory cloud platform / data center for analysis and decision-making.

[0054] From Figure 3 it can be seen that on the end side, from left to right are industrial devices only configured with 5G communication components, industrial CPE devices, and industrial devices only configured with SparkLink short-range modules. At the top is a 5G DU or 5G AAU; among them, the industrial devices only configured with 5G communication components can support functions such as I / O drive conversion, information acquisition, perception positioning, and end-side computing. Similar to industrial CPE devices, the specific supported functions can be determined according to actual requirements, and the present invention does not make special restrictions. The edge side includes an MEC server and a 5G CU unit, and in Figure 3 the shown industrial wireless network system example, the MEC server and the 5G CU unit adopt a distributed deployment method. When deployed distributively, the MEC server and the 5G CU unit are each allocated computing resources. Among them, the computing resources of the MEC can achieve cloud-based deployment of the main PLC, deployment of various industrial application APPs, and edge computing; the computing resources of the 5G CU unit are used to implement communication protocol processing (UPF, GW-U, and virtualized BBU). The cloud side consists of multiple factory cloud platforms or data centers.

[0055] Based on Figure 2 and Figure 3From the examples of industrial wireless network systems shown, it can be seen that both industrial wireless network systems integrate the capabilities of communication, computing, perception, and control, and can realize technologies such as end-edge-cloud collaboration, distributed training and decision-making, provide ubiquitous access, perception computing, intelligent control decision-making and other services, and promote the wider application of industrial large models, expert systems, etc. in the field of industrial control, and realize the intelligent upgrade of industrial control.

[0056] Among them, the end-edge-cloud collaboration indicates the computing tasks in the industrial wireless network system, which can be collaboratively calculated by the end side, edge side and cloud side through computing offloading. For example, the unmanned vehicle on the end side needs to collect information based on the camera configured on it, and judge whether there are obstacles ahead based on the collected information, and then plan the walking path. This process can be regarded as a computing task. Due to the limited computing power on industrial equipment, this computing task needs to be divided into tasks. After the division, part of the computing tasks are placed on the industrial equipment or edge side, and part of the computing tasks are placed on the edge side or cloud side. For the path planning computing task, the operations such as emergency stop and braking involved in judging obstacles can be assigned to the industrial equipment or edge side on the end side for computing; the calculation involving the overall path planning should be assigned to the cloud side computing because it is necessary to schedule the paths of multiple vehicles for planning from a global perspective.

[0057] Distributed training and decision-making instructions The industrial wireless network system can deploy training or decision-making tasks on a relatively centralized node, and then distribute them to multiple nodes within its coverage area to use local data for distributed decision-making training. For example, training or decision-making tasks can be deployed on the edge MEC server, and distributed training and decision-making can be performed by unmanned vehicles and CPE devices within its coverage area (end side). For example, unmanned vehicle obstacle recognition, the recognition algorithm is based on machine learning, so neural network training is required first, but the information collected by an unmanned vehicle (industrial equipment) is limited, so multiple vehicles can collaborate for distributed training, and then upload the local model parameters trained on each unmanned vehicle to the 5G CU for aggregation. After aggregation by the 5G CU, the complete neural network model is sent to the unmanned vehicle.

[0058] Based on the aforementioned industrial network system, the present invention also provides a method for executing a computing task, the method comprising: step S1, obtaining a computing task to be executed; step S2, using the system described in the aforementioned embodiment to execute the computing task to be executed to obtain a task execution result. It should be noted that the industrial network system can customize computing tasks according to actual needs, such as data collection tasks, path planning tasks, obstacle identification tasks, temperature monitoring tasks, etc., and the present invention does not impose any special restrictions.

[0059] The beneficial effects of the present invention are: (1) combining the characteristics of 5G wide-area coverage and StarFlash short-range communication, comprehensive wireless connection of industrial equipment is realized; (2) by introducing industrial equipment equipped with StarFlash short-range modules and 5G communication components, the integration of 5G and StarFlash networks can be realized upward, and low-cost large-scale wireless connection of industrial field equipment can be realized downward.

[0060] It should be noted that although the above describes the various steps in a specific order, it does not mean that the various steps must be executed in the above specific order. In fact, some of these steps can be executed concurrently or even in a different order as long as the required functions can be achieved.

[0061] The present invention may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present invention.

[0062] A computer-readable storage medium may be a tangible device that holds and stores instructions used by an instruction execution device. Computer-readable storage media may include, for example, but are not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination thereof. More specific examples (non-exhaustive list) of computer-readable storage media include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a protruding structure in a groove on which instructions are stored, and any suitable combination thereof.

[0063] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. An industrial wireless network system integrating 5G and StarFlash short-distance communication, characterized in that: The system includes a terminal side, an edge side, and a cloud side, wherein: The end side includes multiple industrial devices and multiple 5G communication units, each industrial device is equipped with a Star Flash short-range module, and some industrial devices are also equipped with a 5G communication component; wherein, the industrial device equipped with a 5G communication component and a Star Flash short-range module is connected to the 5G communication unit through the 5G communication component, or is connected to other industrial devices equipped with 5G communication components and Star Flash short-range modules through the Star Flash short-range module to achieve connection with the 5G communication unit; the industrial device equipped only with the Star Flash short-range module is connected to other industrial devices equipped with 5G communication components and Star Flash short-range modules through the Star Flash short-range module to achieve connection with the 5G communication unit; each 5G communication unit is used to realize communication between the industrial device to which it is connected and the edge side or cloud side; The edge side includes a 5G CU unit and an edge computing server, wherein the 5G CU unit is used to receive data from the end side and the cloud side, and forward data transmitted by itself and the cloud side to the end side; the edge computing server is used to perform edge computing tasks based on the data received by the 5G CU unit; The cloud side includes a cloud platform or a data center, wherein the cloud platform or the data center is used to receive and store data transmitted from the end side and the edge side, and perform data analysis based on the received data.

2. The system according to claim 1, characterized in that The multiple 5G communication units include multiple 5G base station distributed units and / or multiple active antenna units.

3. The system according to claim 2, characterized in that The edge computing server and 5G CU unit in the edge side are centrally deployed, wherein the centralized deployment method indicates that the edge computing server and 5G CU unit share computing resources in the edge side.

4. The system according to claim 2, characterized in that The edge computing server and 5G CU unit in the edge side are deployed in a distributed manner, wherein the distributed deployment manner indicates that the edge computing server and the 5G CU unit are each configured with corresponding computing resources in the edge side.

5. The system according to claim 3 or 4, characterized in that: The industrial wireless network system coordinates the end side, edge side and cloud side to perform computing tasks in a computing offloading manner.

6. The system according to claim 5, characterized in that The calculation offloading method is: Based on the characteristics of the computing tasks, the tasks are divided into local computing tasks, edge computing tasks and / or cloud computing tasks, and the local computing tasks after task division are assigned to the terminal side for execution, the edge computing tasks are assigned to the edge side for execution, and the cloud computing tasks are assigned to the cloud side for execution.

7. The system according to claim 6, characterized in that The end side also includes multiple industrial devices that are only equipped with 5G communication components.

8. A method for executing a computing task, characterized in that: The method comprises: Step S1, obtaining a computing task to be executed; Step S2: Use the system as described in any one of claims 1 to 7 to execute the task to be calculated to obtain the task execution result.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and the computer program can be executed by a processor to implement the steps of the method according to claim 8.

10. An electronic device, characterized in that: include: one or more processors, and A memory, wherein the memory is used to store executable instructions; The one or more processors are configured to implement the steps of the method of claim 8 by executing the executable instructions.

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