Equipment spot inspection system and spot inspection method

Abstract

The invention discloses an equipment spot inspection system and a spot inspection method, and belongs to the field of equipment detection. The equipment point inspection system comprises an equipment end, a 5G network end and a data processing center. Wherein the equipment end comprises an equipment acquisition module used for acquiring equipment parameters, the 5G network end comprises a data preprocessing module and a slicing module, the data preprocessing module divides the equipment parameters into at least two types of data according to data features of different dimensions of the equipment parameters, and the data are transmitted through URLLC slices and eMBB slices respectively; due to the fact that the URLLC slice can guarantee low time delay and high reliability of transmission, and the eMBB slice can guarantee mass data transmission, the bandwidth requirement of other data can be guaranteed while it is guaranteed that some data transmission cannot delay packet loss and other problems, and meanwhile, the 5G slice can achieve data security isolation.

Description

Technical Field

[0001] The present application relates to the technical field of equipment detection, and in particular, to an equipment inspection system and an inspection method. Background Art

[0002] As the requirements for equipment inspection efficiency and accuracy in industry and other related fields increase, the transformation from paper inspection to equipment inspection has become an inevitable trend. However, how to process data during the transformation process has become a key challenge. A large amount of equipment inspection data needs to be accurately and quickly transmitted from the on-site equipment terminal to the server for storage and analysis. Traditional network technology inevitably causes transmission delays, packet loss, and occupies too many storage resources, making it difficult to meet its needs for bandwidth, low latency, and data security isolation. Summary of the invention

[0003] In order to overcome the shortcomings of the prior art, the present application provides a device inspection system and inspection method to solve the problem that traditional network technology inevitably produces transmission delays, packet loss, and occupies too many storage resources, making it difficult to meet its needs for bandwidth, low latency and data security isolation.

[0004] The technical solution adopted by this application to solve its technical problem is:

[0005] In a first aspect, a device inspection system is provided, comprising: a device end, a 5G network end, and a data processing center;

[0006] The device end includes a device acquisition module for collecting device parameters;

[0007] The 5G network end includes a data preprocessing module and a slicing module;

[0008] The data preprocessing module obtains data features of the device parameters collected by the device collection module, and divides the device parameters into at least two types of data based on the data features; and transmits at least one type of data through URLLC slices, and transmits the remaining data through eMBB slices, wherein the data features include data change frequency, degree of impact of data on device functions, and degree of association between data and quality standards;

[0009] The data processing center is used to receive data from the 5G network end.

[0010] Furthermore, the 5G network end also includes a slice load monitoring module and a dynamic scheduling module;

[0011] The slice load monitoring module is used to monitor the load of each slice;

[0012] The dynamic scheduling module is used to schedule in a preset manner when the slice load is greater than a threshold; the preset manner includes:

[0013] Compress low-priority data bandwidth or reduce the transmission rate of the first category of data to ensure the transmission requirements of the second category of data. The first category of data is general data including equipment status monitoring data, and the second category of data is key data including equipment emergency failures and preset key safety parameters.

[0014] Furthermore, the preset method also includes:

[0015] The data on the slices with load exceeding the threshold are allocated to the preset backup slices, and the routing information and transmission protocol configuration are updated synchronously.

[0016] Furthermore, the preset method also includes:

[0017] When the number of slices whose load exceeds the threshold is greater than a preset number, the transmission frequency of the third category of data is reduced or the transmission of the first category of data is suspended, and resources are released to be allocated to the second category of data. The third category of data is regular data including historical operation data of the equipment and non-critical environmental data.

[0018] Furthermore, the dynamic scheduling module is also used to change the slice type used for data transmission of a preset type based on a state change of the device.

[0019] Further, the data processing center includes a receiving module;

[0020] The receiving module unpacks the received data according to the mark and packing mode of the received data to restore the received data to the original format;

[0021] The unpacking according to the mark and packing mode of the received data includes:

[0022] When the mark is a unique device identifier, the unique device identifier of the device is obtained, and a corresponding configuration file of the device is matched according to the unique device identifier;

[0023] And / or, when the marker is a sensor location marker, associating the received data with a physical structure of the device.

[0024] Furthermore, the data processing center also includes a diagnosis module for performing real-time analysis on the received data to diagnose whether there is a fault in the equipment, as well as the type and location of the fault.

[0025] Furthermore, the data processing center also includes a visualization display module and a desensitization module;

[0026] The visualization display module displays data information to the user, and the desensitization module is used to desensitize preset data of sensitive information involved in the data storage and display process.

[0027] Furthermore, the device side also includes a data elimination module;

[0028] The data elimination module is used to determine whether there is any abnormality in the data collected by the data collection module, and to eliminate the abnormal data if there is any abnormality.

[0029] In a second aspect, a device inspection method is provided, which is applied to the device inspection system provided by the technical party of the first aspect.

[0030] Beneficial effects:

[0031] The technical solution of the present application provides a device inspection system and inspection method. The device inspection system includes three parts: the device end, the 5G network end and the data processing center. The device end includes a device acquisition module for collecting device parameters, and the 5G network end includes a data preprocessing module and a slicing module. The data preprocessing module divides the device parameters into at least two types of data according to the data characteristics of different dimensions of the device parameters, and transmits them through URLLC slices and eMBB slices respectively. Since URLLC slices can ensure low latency and high reliability of transmission, and eMBB slices can ensure large amounts of data transmission, it can ensure that some data transmission will not be delayed or lost, while ensuring the bandwidth requirements of other data. At the same time, 5G slices can achieve data security isolation. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0033] Figure 1 It is a schematic diagram of the structure of an equipment inspection system provided in an embodiment of the present application;

[0034] Figure 2 It is a schematic diagram of the structure of a specific equipment inspection system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0035] In order to make the purpose, technical scheme and advantages of the present application clearer, the technical scheme of the present application is described in detail below in conjunction with the accompanying drawings and embodiments. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other implementation methods obtained by ordinary technicians in the field without making creative work belong to the scope of protection of the present application.

[0036] Reference Figure 1 , the embodiment of the present application provides a device inspection system, including: a device end, a 5G network end and a data processing center;

[0037] The device end includes a device acquisition module for collecting device parameters;

[0038] The 5G network end includes a data preprocessing module and a slicing module;

[0039] The data preprocessing module obtains data features of the device parameters collected by the device collection module, and divides the device parameters into at least two types of data based on the data features; and transmits at least one type of data through URLLC slices, and transmits the remaining data through eMBB slices, wherein the data features include data change frequency, degree of impact of data on device functions, and degree of association between data and quality standards;

[0040] The data processing center is used to receive data from the 5G network end.

[0041] The equipment inspection system provided in the embodiment of the present application includes three parts: the equipment end, the 5G network end and the data processing center. The equipment end includes an equipment acquisition module for collecting equipment parameters, and the 5G network end includes a data preprocessing module and a slicing module. The data preprocessing module divides the equipment parameters into at least two types of data according to the data characteristics of different dimensions of the equipment parameters, and transmits them through URLLC slicing and eMBB slicing respectively. Since URLLC slicing can ensure low latency and high reliability of transmission, and eMBB slicing can ensure large amounts of data transmission, it can ensure that some data transmission will not be delayed or lost, while ensuring the bandwidth requirements of other data. At the same time, 5G slicing can achieve data security isolation.

[0042] like Figure 2 As shown, the present application provides a specific equipment inspection system, including: a device end, a 5G network end and a data processing center;

[0043] The device end includes a device acquisition module for collecting device parameters; wherein the device acquisition module is mainly a sensor, and a suitable sensor is selected and deployed at a key position of the device to ensure that the sensor accuracy meets the requirements.

[0044] As a preferred implementation method of the embodiment of the present application, the device side also includes a data rejection module; the data rejection module is used to determine whether the data collected by the data acquisition module is abnormal, and to reject the abnormal data when an abnormality exists. For example, if the motor operating temperature is collected to be above 130 degrees Celsius, or the voltage parameter of the electrical equipment is collected to be 600V, these are likely to be abnormal data caused by sensor failure or data transmission error.

[0045] The 5G network end includes a data preprocessing module and a slicing module;

[0046] The data preprocessing module obtains data features of the device parameters collected by the device acquisition module, and divides the device parameters into at least two categories of data based on the data features; and transmits at least one category of data through URLLC slices, and the remaining data through eMBB slices, wherein the data features include data change frequency, the degree of impact of data on device functions, and the degree of association between data and quality standards; exemplarily, according to data features such as data change frequency, the degree of impact of data on device functions, and the strength of the association between data and quality standards, the data are divided into three categories including a key data layer, a conventional data layer, and a general data layer, which respectively transmit data with extremely high requirements for latency and reliability, such as equipment emergency failures and key safety parameters; transmit data with high requirements for bandwidth, such as equipment historical operation data and non-critical environmental data; and transmit a large amount of equipment status monitoring data.

[0047] The 5G network end also includes a slice load monitoring module and a dynamic scheduling module;

[0048] The slice load monitoring module is used to monitor the load of each slice;

[0049] The dynamic scheduling module is used to schedule in a preset manner when the slice load is greater than a threshold; the preset manner includes:

[0050] Compress low-priority data bandwidth or reduce the transmission rate of the first type of data to ensure the transmission requirements of the second type of data, the first type of data is general data including equipment status monitoring data, and the second type of data is critical data including equipment emergency failures and preset key safety parameters. Exemplarily, compress low-priority data transmission bandwidth or reduce general data transmission rate to ensure the transmission requirements of critical data.

[0051] The preset method also includes:

[0052] Assign the data on the slice with a load exceeding the threshold to the preset spare slice, and synchronously update the routing information and transmission protocol configuration. For example, consider allocating the data to a suitable spare target slice, synchronously update the routing information and transmission protocol configuration in the process, and adjust the priority of the data to adapt to the resource allocation rules of the new slice.

[0053] When the number of slices whose load exceeds the threshold is greater than the preset number, the transmission frequency of the third type of data is reduced or the transmission of the first type of data is suspended, and resources are released to be allocated to the second type of data. The third type of data is conventional data including historical operation data of the equipment and non-critical environmental data. Exemplarily, when the loads of multiple slices are at a high level and resources are tight, resources are reallocated according to the priority of the data. Critical data has the highest resource preemption right, such as reducing the transmission frequency of conventional data or suspending general data transmission, and releasing resources to allocate to critical data, ensuring that equipment fault warnings and important parameters can be transmitted in a timely manner.

[0054] Furthermore, the dynamic scheduling module is also used to change the slice type used for data transmission of a preset type based on the state change of the device. For example, when the device changes from a normal operating state to a fault warning state, the original regular data may be upgraded to critical data. At this time, the dynamic scheduling module should respond immediately, increase the transmission priority of the device, and allocate more bandwidth resources and low-latency channels to ensure orderly data transmission, thereby improving the performance and reliability of the equipment inspection system.

[0055] In addition, a brief introduction to URLLC and eMBB is given below:

[0056] Ultra Reliable & Low Latency Communication (URLLC)

[0057] Application and requirement standards

[0058] Typical applications of URLLC include industrial control, drone control, and intelligent driving control. This type of scenario focuses on services that are extremely sensitive to latency, and high reliability is also a basic requirement. Real-time monitoring of autonomous driving requires millisecond-level latency, while automotive production and industrial machinery and equipment processing and manufacturing require latency of ten milliseconds, and availability requirements are close to 100%. The 3GPP technical document TR22.891 describes specific business indicators: ① Low latency is less than 1ms; ② Ultra-reliability is at least lower than the packet error rate <10-4; ③ For high-speed mobile scenarios such as drone control, it is necessary to ensure that an uplink transmission rate of 20Mbit / s can be provided at a flight speed of 300km / h.

[0059] Network Architecture

[0060] In order to meet the end-to-end 1ms latency of URLLC services (such as autonomous driving), the core network elements and service servers must be moved down and deployed directly on the access side, completely abandoning the transmission link and simplifying the original multi-hop transmission to one hop. Technologies such as network slicing, MEC (Mobile / Multi-Access Edge Computing), separation of the control plane and the user plane, and sinking of the user plane gateway UPF (User Plane Function) will inevitably be introduced into the network architecture.

[0061] URLLC Network Architecture

[0062] (1) Network Slicing

[0063] According to SA2's definition of network slicing, a network slice is a logical network that provides specific network capabilities and network features. Network slices include core network and access network slices, covering slice architecture, slice selection, slice roaming, etc. The most important feature of slicing is to customize the network on demand and achieve end-to-end isolation to maximize network resource utilization.

[0064] (2) MEC

[0065] MEC technology enables traditional wireless access networks to have the conditions for service localization and close-range deployment, so that wireless access networks have low-latency, high-bandwidth transmission capabilities, effectively alleviating the requirements of future mobile networks for transmission bandwidth and latency. At the same time, the sinking of the service plane, that is, localized deployment, can effectively reduce the network load and the demand for network backhaul bandwidth, thereby achieving the goal of reducing network operating costs. In addition, the localized deployment of business applications makes business applications closer to wireless networks and users themselves, making it easier to perceive and utilize network context information (location, network load, wireless resource utilization, etc.), thereby effectively improving users' business experience. Furthermore, operators can open wireless network capabilities to third-party business applications and software developers through the MEC platform, providing a platform for the research and development and deployment of innovative services.

[0066] The impact of MEC on 5G network architecture is mainly reflected in the user plane, including service diversion, continuity guarantee, UPF selection and reselection, and also affects capability exposure, QoS and billing. For URLLC services, by deploying a general server on the wireless access side, the original multi-hop communication is controlled within one hop, making end-to-end 1ms latency possible.

[0067] (3) Separation of control and load

[0068] Control and forwarding separation realizes the complete separation of mobile network control function and forwarding function, and builds an efficient and aggregated control plane and a flexibly deployed distributed forwarding plane. The control plane is centralized, reducing northbound interfaces and enhancing the scalability of southbound interfaces; the bearer plane can be distributed and flexibly deployed to provide forwarding efficiency. Deployed close to the network edge, local traffic diversion is achieved, and end-to-end millisecond latency is supported. Deployed close to the network center, wide-area mobility is supported. In the 2G / 3G era, there were four layers of forwarding, which were reduced to three layers in 4G. 5G was further compressed to two layers of forwarding due to the requirement of low latency. By separating control and bearer, the user plane forwarding can be further flattened, data forwarding latency can be reduced, and network forwarding performance can be improved. For URLLC services, the forwarding plane is further sunk to the base station side, changing from the general two layers to one layer of forwarding, further reducing latency.

[0069] Enhanced Mobile Broadband (eMBB)

[0070] The International Mobile Communications Standardization Organization 3GPP first determined the channel coding technology solution for the 5G eMBB (Enhance Mobile Broadband) scenario, in which Polar code is used as the coding solution for the control channel and LDPC code is used as the coding solution for the data channel. Therefore, terminals that support eMBB applications have also become the main terminal product form in the early stage of 5G.

[0071] Frequency deployment plan

[0072] In order to meet the development needs of traffic growth and rate growth, the eMBB scenario needs to provide ultra-high rates and additional spectrum to meet the requirements. In order to balance coverage and capacity requirements, it is necessary to gain something in the medium and low frequency bands, especially the wider continuous frequency bands above 6 GHz. It mainly comes from the millimeter wave band, hoping to obtain a band above 1 GHz, and in the centimeter wave band, it is hoped to obtain a band of several hundred MHz. Therefore, the frequency band of the eMBB scenario needs to take into account coverage and capacity, as well as the feasibility of the backhaul solution, and needs to be configured in the medium and low frequency bands. Since more spectrum is needed to provide capacity, LAA, LSA and other methods can be used as a supplement to proprietary frequencies.

[0073] Network deployment solution

[0074] eMBB applications can be used as pilot applications in the early stages of 5G network construction, and as a starting point for operators to explore and verify various key technologies of 5G networks. When deploying the network, it is necessary to consider the integration with the 4G network. The deployment plan of the gradual evolution of the 4G network can be adopted to complete the network construction work in steps and stages. The 4G network will coexist with the 5G network for a long time, especially in the early stages of 5G network construction, it is necessary to achieve interoperability between 5G wireless technology and LTE technology. At this stage, control plane information is transmitted through 4G sites, and 5G sites mainly provide capacity improvement for the user plane. Access to eMBB services is jointly undertaken by 4G networks and 5G networks. In terms of network architecture selection, NGFI or C-RAN architectures are adopted to realize BBU resource pools to meet the requirements of a significant increase in base station backhaul resources.

[0075] The data processing center is used to receive data from the 5G network end.

[0076] The data processing center includes a receiving module;

[0077] The receiving module unpacks the received data according to the mark and packing mode of the received data to restore the received data to the original format;

[0078] The unpacking according to the mark and packing mode of the received data includes:

[0079] When the tag is a unique device identifier, the unique device identifier of the device is obtained, and the corresponding configuration file of the device is matched according to the unique device identifier; for example, for a device with a unique device identifier, the receiving module will first obtain the device identifier number, and match the corresponding configuration file of the device according to the device identifier number tag. For example, if the configuration file of device x shows that it has three temperature sensors and two pressure sensors, the order in which the device sends data is temperature data first and then pressure data, and the data is unpacked in this order;

[0080] And / or, when the mark is a sensor position mark, the received data is associated with the physical structure of the device. For example, for data with a sensor position mark, the receiving module will associate the data with the physical structure of the device. For example, when receiving data from the evaporator air inlet temperature sensor, the system will store the data in the temperature data storage area corresponding to the air inlet position according to the evaporator model, so as to accurately analyze the impact of the air inlet temperature change on the evaporator performance later.

[0081] The data processing center also includes a diagnostic module for real-time analysis of received data to diagnose whether the equipment has a fault, as well as the type and location of the fault. Advanced data analysis algorithms, including anomaly detection algorithms in machine learning and fault diagnosis models, are used to analyze the received data in real time. Quickly and accurately diagnose whether the equipment has a fault, the type and location of the fault.

[0082] The data processing center also includes a visualization display module and a desensitization module;

[0083] The visualization display module displays data information to users, and the desensitization module is used to desensitize preset data of sensitive information involved in the data storage and display process. The processed data is stored in a high-performance database, and the data information is displayed through a visualization interface to facilitate user decision-making. At the same time, during the data storage and display process, the data involving sensitive information is desensitized to protect privacy while ensuring data availability.

[0084] The specific equipment inspection system provided in the embodiment of the present application includes three parts: the equipment end, the 5G network end and the data processing center. The equipment end includes an equipment acquisition module for collecting equipment parameters, and the 5G network end includes a data preprocessing module and a slicing module. The data preprocessing module divides the equipment parameters into at least two types of data according to the data characteristics of different dimensions of the equipment parameters, and transmits them through URLLC slicing and eMBB slicing respectively. Since URLLC slicing can ensure low latency and high reliability of transmission, and eMBB slicing can ensure large amounts of data transmission, it can ensure that some data transmission will not be delayed or lost, while ensuring the bandwidth requirements of other data. At the same time, 5G slicing can achieve data security isolation.

[0085] Based on the same inventive concept, an embodiment of the present application provides a device inspection method, which is applied to the device inspection system provided in the above embodiment. Since the device inspection system includes three parts: a device end, a 5G network end, and a data processing center. The device end includes a device acquisition module for collecting device parameters, and the 5G network end includes a data preprocessing module and a slicing module. The data preprocessing module divides the device parameters into at least two types of data according to the data characteristics of different dimensions of the device parameters, and transmits them through URLLC slices and eMBB slices respectively. Since URLLC slices can ensure low latency and high reliability of transmission, and eMBB slices can ensure the transmission of a large amount of data, it can ensure that some data transmission will not be delayed or lost, while ensuring the bandwidth requirements of other data. At the same time, 5G slices can achieve data security isolation.

[0086] The following provides a specific equipment inspection process, in which the system has a three-layer architecture including the equipment side, 5G network side, and data processing center, which are responsible for inspection data collection, 5G slicing technology information collection, and data processing center, respectively.

[0087] 1. Device-side design: Select appropriate sensors and deploy them at key locations on the device to ensure that the sensor accuracy meets the requirements. Develop an efficient device acquisition module and remove data with obvious problems, such as motor operating temperature above 130 degrees Celsius and electrical equipment voltage parameters above 600V. These are likely to be abnormal data caused by sensor failure or data transmission errors. Finally, connect the device data acquisition module to the 5G network to ensure a stable connection and prepare for subsequent data transmission.

[0088] 2. 5G slice deployment of equipment inspection system: According to data characteristics such as the frequency of data changes, the degree of data impact on equipment functions, and the strength of the correlation between data and quality standards, it is divided into three categories, including key data layer, conventional data layer, and general data layer, which transmit data with extremely high latency and reliability requirements such as equipment emergency failures and key safety parameters; transmit data with high bandwidth requirements such as equipment historical operation data and non-critical environmental data; and transmit a large amount of equipment status monitoring data. At the same time, slice management and scheduling are adopted, and an intelligent slice management system is established to monitor the load of each slice in real time. When the slice load is too high, the dynamic scheduling algorithm is used to reasonably adjust resource allocation.

[0089] 3. Dynamic scheduling algorithm design: When the load is too heavy, when there is high-priority data to be transmitted, first try to compress the low-priority data transmission bandwidth or reduce the general data transmission rate to ensure the transmission needs of key data. Secondly, consider allocating data to the appropriate backup target slice, synchronously update the routing information and transmission protocol configuration in the process, and adjust the data priority to adapt to the resource allocation rules of the new slice; when the load of multiple slices is at a high level and resources are tight, reallocate resources according to the priority of the data. Key data has the highest resource preemption right, such as reducing the transmission frequency of conventional data or suspending general data transmission, releasing resources to allocate to key data, ensuring that the equipment's fault warning and important parameters can be transmitted in time; when the equipment's operating status changes, resulting in a change in data transmission priority, such as when the equipment changes from normal operation to fault warning, the original conventional data may be upgraded to key data. At this time, the dynamic scheduling algorithm should respond immediately, increase the transmission priority of the equipment, allocate more bandwidth resources and low-latency channels to ensure orderly data transmission, thereby improving the performance and reliability of the equipment inspection system.

[0090] 4. Data processing center design: In the data processing center, a special receiving module is established to unpack the data according to the data tag and packaging method, and restore the data to its original format. For example, for a device with a unique device identifier, the receiving module will first obtain the device identification number, and match the corresponding configuration file of the device according to the device identification number tag. For example, the configuration file of device x shows that it has three temperature sensors and two pressure sensors. The order in which the device sends data is temperature data first and then pressure data, and unpacks it in this order; for data with sensor position tags, the receiving module will associate the data with the physical structure of the device. For example, after receiving the data from the evaporator air inlet temperature sensor, the system will store the data in the temperature data storage area corresponding to the air inlet position according to the evaporator model, so as to accurately analyze the impact of the air inlet temperature change on the evaporator performance later. Then use advanced data analysis algorithms, including anomaly detection algorithms and fault diagnosis models in machine learning, to analyze the received data in real time. Quickly and accurately diagnose whether the equipment has a fault, the type of fault and the location. Store the processed data in a high-performance database, and display the data information through a visual interface to facilitate user decision-making. At the same time, during the data storage and display process, data involving sensitive enterprise information is desensitized to protect enterprise privacy while ensuring data availability.

[0091] This application uses 5G slicing technology to solve the problems of large transmission and data volume in equipment inspection. On the one hand, it ensures low latency and high reliability transmission of key data, improving the accuracy and timeliness of inspection; on the other hand, it effectively manages massive inspection data, improves the operating efficiency and stability of the equipment inspection system, and provides strong support for the digital transformation of the manufacturing industry.

[0092] The invention of this application is as follows:

[0093] 1. Digital design of equipment inspection: structured data format facilitates clear specifications during data collection, which is beneficial for subsequent data processing and transmission; multi-dimensional data integration; data association index.

[0094] 2. Hierarchical data transmission of equipment inspection system: The data of the equipment inspection system is divided into three layers, namely the real-time key data layer, the conventional data layer, and the general data layer. Then, according to the different layers, it is matched whether to use URLLC slices or eMBB slices for transmission to ensure low latency and high reliability. When the data is abnormal, some parameters can be upgraded to URLLC slices for transmission to ensure that key information is delivered to the monitoring end in a timely manner.

[0095] 3. Security and privacy protection of 5G slicing equipment inspection data: Encrypt data within the slice of the equipment inspection system, use encryption algorithms of different strengths for different levels and types of data to ensure the confidentiality of the inspection data, strengthen the security isolation mechanism between slices, and protect data privacy.

[0096] The inspection method provided in the embodiment of the present application can solve the following technical problems:

[0097] 1. Solve the problem of data transmission delay in equipment inspection system:

[0098] During the inspection process, the real-time status data of the equipment needs to be transmitted to the monitoring center for analysis. When transmitting key real-time data, the traditional network has too high a delay due to network congestion and other reasons. The present invention adopts the URLLC technology of 5G low-latency key data slicing to ensure the rapid transmission of key data and avoid the problem of untimely handling of equipment failures due to delays.

[0099] 2. Solve the problem of insufficient transmission bandwidth caused by large amount of data in the equipment inspection system:

[0100] High-definition images, videos and other large amounts of data in equipment inspection are prone to lag when transmitted over traditional networks. The present invention uses the eMBB technology of 5G slices with high bandwidth and large capacity data to provide sufficient bandwidth and achieve smooth transmission of large amounts of data. At the same time, combined with data preprocessing technology, data compression and classification are performed at the collection end to reduce the amount of data and improve transmission efficiency.

[0101] 3. Solve the problem of chaotic data transmission in equipment inspection system:

[0102] Different types of data are easily interfered with each other when transmitted in traditional networks. 5G slicing technology can classify and transmit data, avoiding data confusion and ensuring the stability and accuracy of data transmission of various types.

[0103] The embodiments of the present application have the following effects:

[0104] 1. Improve the real-time performance of the inspection system:

[0105] Low-latency transmission of critical data enables equipment failures to be discovered and handled in a timely manner, reducing equipment downtime and improving production efficiency.

[0106] 2. Enhance the accuracy of equipment maintenance:

[0107] Highly reliable data transmission ensures data accuracy, allowing maintenance personnel to more accurately judge the status of the equipment, avoiding unnecessary maintenance costs due to data errors, extending equipment life and reducing maintenance costs.

[0108] 3. Improve the scalability of the equipment inspection system:

[0109] With the digital transformation of the manufacturing industry, the data volume and transmission requirements of this system will be further improved. The present invention performs inspection based on 5G slicing technology, which is convenient for the subsequent adjustment of slice resources and parameter configuration. It has good scalability and can meet the future manufacturing industry's demand for equipment inspection systems.

[0110] It should be noted that, in the description of this application, the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In addition, in the description of this application, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0111] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

Claims

1. An equipment inspection system, characterized in that: include: Device side, 5G network side and data processing center; The device end includes a device acquisition module for collecting device parameters; The 5G network end includes a data preprocessing module and a slicing module; The data preprocessing module obtains data features of the device parameters collected by the device collection module, and divides the device parameters into at least two types of data based on the data features; At least one type of data is transmitted through URLLC slices, and the rest of the data is transmitted through eMBB slices, wherein the data characteristics include the frequency of data changes, the degree of impact of the data on the device function, and the degree of association between the data and the quality standard; The data processing center is used to receive data from the 5G network end.

2. The system according to claim 1, characterized in that: The 5G network end also includes a slice load monitoring module and a dynamic scheduling module; The slice load monitoring module is used to monitor the load of each slice; The dynamic scheduling module is used to schedule in a preset manner when the slice load is greater than a threshold; the preset manner includes: Compress low-priority data bandwidth or reduce the transmission rate of the first category of data to ensure the transmission requirements of the second category of data. The first category of data is general data including equipment status monitoring data, and the second category of data is key data including equipment emergency failures and preset key safety parameters.

3. The system according to claim 2, characterized in that: The preset method also includes: The data on the slices with load exceeding the threshold are allocated to the preset backup slices, and the routing information and transmission protocol configuration are updated synchronously.

4. The system according to claim 2, characterized in that: The preset method also includes: When the number of slices whose load exceeds the threshold is greater than a preset number, the transmission frequency of the third category of data is reduced or the transmission of the first category of data is suspended, and resources are released to be allocated to the second category of data. The third category of data is regular data including historical operation data of the equipment and non-critical environmental data.

5. The system according to claim 2, characterized in that: The dynamic scheduling module is also used to change the slice type used for data transmission of a preset type based on a state change of the device.

6. The system according to claim 1, characterized in that: The data processing center includes a receiving module; The receiving module unpacks the received data according to the mark and packing mode of the received data to restore the received data to the original format; The unpacking according to the mark and packing mode of the received data includes: When the mark is a unique device identifier, the unique device identifier of the device is obtained, and a corresponding configuration file of the device is matched according to the unique device identifier; And / or, when the marker is a sensor location marker, associating the received data with a physical structure of the device.

7. The system according to claim 6, characterized in that: The data processing center also includes a diagnosis module for performing real-time analysis on received data to diagnose whether there is a fault in the equipment, and the type and location of the fault when a fault occurs.

8. The system according to claim 1, characterized in that: The data processing center also includes a visualization display module and a desensitization module; The visualization display module displays data information to the user, and the desensitization module is used to desensitize preset data of sensitive information involved in the data storage and display process.

9. The system according to claim 1, characterized in that: The device end also includes a data elimination module; The data elimination module is used to determine whether there is any abnormality in the data collected by the data collection module, and to eliminate the abnormal data if there is any abnormality.

10. A method for equipment inspection, characterized in that: Applicable to the system described in any one of claims 1 to 9.

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