IoT edge computing data acquisition system, method, and computer device

Abstract

The present application relates to an Internet of Things edge computing data acquisition system, method and computer equipment. The system includes a 5G base station, an edge computing platform, a local data platform and an electric power industry field terminal. The electric power industry field terminal and the edge computing platform respectively establish communication connections with the 5G base station through the 5G core network of the 5G base station, and the edge computing platform and the local data platform establish a communication connection through the 5G core network. The electric power industry field terminal collects field data in the electric power industry field and sends it to the edge computing platform; the edge computing platform performs data lightweight processing on the received field data and sends the processed field data to the local data platform; the local data platform performs data analysis on the processed field data and performs real-time monitoring of the electric power industry field. The use of this method can reduce the network burden, increase the efficiency of data interaction, and meet the needs of real-time monitoring of electric power field data.

Description

Technical Field

[0001] The present application relates to the field of Internet of Things technology, and in particular to an Internet of Things edge computing data acquisition system, method and computer equipment. Background Art

[0002] With the transformation and upgrading of the manufacturing industry and the continuous development of new-generation communication technologies, traditional industrial data collection solutions are also facing new challenges.

[0003] Traditional industrial informatization collects data on-site, and data transmission is also concentrated in the local area network. At present, migrating and synchronizing industrial data to the cloud has become a general trend. Traditional wireless data collection technology is unable to cope with high-precision, low-latency, and large-capacity industrial scene data collection, and cannot meet the real-time monitoring needs of automated production. Summary of the Invention

[0004] Based on this, it is necessary to provide an Internet of Things edge computing data acquisition system, method, computer equipment, computer-readable storage medium and computer program product that can meet the needs of real-time monitoring of power field data in response to the above technical problems.

[0005] In a first aspect, the present application provides an Internet of Things edge computing data acquisition system, the system comprising a 5G base station, an edge computing platform, a local data platform, and an electric power industry field terminal, wherein the electric power industry field terminal and the edge computing platform respectively establish a communication connection with the 5G base station through the 5G core network of the 5G base station, the edge computing platform and the local data platform establish a communication connection through the 5G core network, and the electric power industry field terminal and the local data platform establish a communication connection through a wired cable;

[0006] The electric power industry field terminal is used to collect field data in the electric power industry field and send the field data to the edge computing platform;

[0007] The edge computing platform is used to perform data lightweight processing on the received field data and send the processed field data to the local data platform;

[0008] The local data platform is used to perform data analysis on the processed field data and to perform real-time monitoring of the power industry site.

[0009] In one embodiment, the electric power industry field terminal is also used to analyze the timeliness of the field data to obtain the timeliness of the field data; send the field data with a first timeliness to the local data platform, and send the field data with a second timeliness to the edge computing platform; wherein the first timeliness is higher than the second timeliness.

[0010] In one embodiment, the local data platform is further used to perform data lightweight processing and analysis on the field data with the first timeliness.

[0011] In one embodiment, the system also includes a mobile terminal, which establishes a communication connection with the 5G base station through the 5G core network of the 5G base station. The edge computing platform is also used to send processed field data to the mobile terminal, and remotely obtain field data of the power industry site through the mobile terminal.

[0012] In one embodiment, the electric power industry field terminal includes at least one of a sensor, a controller, a monitoring device, a testing device, a production device, and a machine vision device installed at the electric power industry field.

[0013] In one embodiment, the system also includes a service platform, and the service platform and the edge computing platform establish a communication connection through any one of the communication methods of the 5G core network or the wired cable; the edge computing platform is also used to respond to the service request of the service platform and send the processed field data matching the service to the service platform.

[0014] In a second aspect, the present application provides a method for collecting data from edge computing in the Internet of Things. The method comprises:

[0015] Respond to data collection instructions and collect field data in the power industry;

[0016] The field data is sent to the edge computing platform, and the edge computing platform performs data lightweight processing on the received field data, so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

[0017] In one embodiment, before sending the field data to the edge computing platform, the method further includes:

[0018] Analyzing the timeliness of the field data to obtain the timeliness of the field data;

[0019] If the timeliness is the first timeliness, sending the field data with the first timeliness to the local data platform;

[0020] The sending of the field data to the edge computing platform includes:

[0021] If the timeliness is the second timeliness, the field data with the second timeliness is sent to the edge computing platform; wherein the first timeliness is higher than the second timeliness.

[0022] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are performed:

[0023] Respond to data collection instructions and collect field data in the power industry;

[0024] The field data is sent to the edge computing platform, and the edge computing platform performs data lightweight processing on the received field data, so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

[0025] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps:

[0026] Respond to data collection instructions and collect field data in the power industry;

[0027] The field data is sent to the edge computing platform, and the edge computing platform performs data lightweight processing on the received field data, so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

[0028] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program that, when executed by a processor, implements the following steps:

[0029] Respond to data collection instructions and collect field data in the power industry;

[0030] The field data is sent to the edge computing platform, and the edge computing platform performs data lightweight processing on the received field data, so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

[0031] The above-mentioned Internet of Things edge computing data acquisition system, method, computer equipment, storage medium and computer program product, the power industry field terminals and edge computing platform in the Internet of Things edge computing data acquisition system respectively establish communication connections with the 5G base station through the 5G core network of the 5G base station, the edge computing platform and the local data platform establish communication connections through the 5G core network, and the power industry field terminals and the local data platform establish communication connections through wired cables; the 5G base station provides a medium for data interaction between the power industry field terminals and the edge computing platform; the local data platform provides data support services for the power industry field terminals and the edge computing platform, and the edge computing platform reduces the network burden and increases the efficiency of data interaction by performing lightweight processing on the field data collected by the power industry field terminals, thereby meeting the needs of real-time monitoring of power field data. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a structural block diagram of an IoT edge computing data acquisition system in one embodiment;

[0033] Figure 2 This is a structural block diagram of an IoT edge computing data acquisition system in another embodiment;

[0034] Figure 3 This is a structural block diagram of an IoT edge computing data acquisition system in another embodiment;

[0035] Figure 4 Schematic diagram of a flow chart of an IoT edge computing data collection method in one embodiment;

[0036] Figure 5 A schematic diagram of a flow chart of an IoT edge computing data collection method in another embodiment;

[0037] Figure 6 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0039] The present application embodiment provides an Internet of Things edge computing data acquisition system, such as Figure 1As shown, the system includes 5G base stations, an edge computing platform, a local data platform, and power industry field terminals. The power industry field terminals and edge computing platform each establish communication connections with the 5G base station via the 5G base station's 5G core network. The edge computing platform establishes a communication connection with the local data platform via the 5G core network, and the power industry field terminals and local data platform establish a communication connection via wired cables. The power industry field terminals collect field data from the power industry site and send it to the edge computing platform. The edge computing platform performs lightweight data processing on the received field data and sends the processed field data to the local data platform. The local data platform performs data analysis on the processed field data. In the IoT edge computing data collection system, solid lines represent cable connections, and dashed lines represent wireless connections.

[0040] Among them, 5G base stations cover the power industry site at the same time, and substations are also set up in important production workshops at the power industry site to meet the access needs of a large number of terminals while effectively reducing mutual interference between communication equipment.

[0041] A 5G data acquisition gateway is deployed on the terminal side of the power industry field terminal. It serves as the interface between the power industry control system and the Internet cloud platform. Field data from the power field is collected through the 5G data acquisition gateway deployed on the power industry field terminal side. The 5G data acquisition gateway has the characteristics of enhancing network security, is embedded in the kernel operating system, and supports access control technology for industrial protocol communication packet detection. It realizes 5G remote data acquisition and management of fixed equipment on the industrial field. That is, after data is collected through the 5G data acquisition gateway, the gateway is used to perform protocol conversion for connection data interaction and management. It is understandable that the protocol conversion here can be achieved through existing 5G protocol conversion methods, which will not be elaborated here.

[0042] Field data includes telemetering (switching quantities) and telemetry (analog quantities) at the power industry site. It can be understood that in the power system, telemetry refers to the remote measurement and transmission of various physical quantities (voltage, current, power, etc.), for example, power, voltage, current, etc. at the station end; telecommunication refers to the measurement and transmission of status signals, for example, status signals of equipment, etc. The power industry field terminal can be understood as an edge device, including at least one of sensors, controllers, monitoring equipment, testing equipment, production equipment, and machine vision equipment installed at the power industry site. In this embodiment, the frequency band sampled by the 5G core network can be set according to the actual needs of digital transmission, and can be, but is not limited to, the 4.9GHz frequency band.

[0043] The edge computing platform can be a cloud computing application of the MEC (Mobile Edge Computing) architecture. The edge computing platform is used to perform edge computing on the received field data. Edge computing includes data lightweight processing. Edge computing is performed on the collected field data so that data processing is closer to the data source and does not need to be performed in an external data center or cloud, which can reduce latency. Data lightweight processing includes filtering invalid data in the collected field data to obtain valid data, and classifying the valid data to obtain classified data (i.e., processed field data). By filtering invalid data in the collected field data to obtain valid data and classifying the valid data, fast and efficient transmission of high-precision sampled power industry field data can be achieved.

[0044] Filtering invalid data involves obtaining the data attributes of the field data and identifying invalid data within the field data based on the data attributes. For example, if the field data is temperature, if the temperature collected within consecutive time periods is the same, redundant data is filtered out, and the temperature within a preset time interval is retained as needed. Furthermore, the edge computing platform can perform image recognition on the collected field data, identify whether the collected images are defective, filter out defective images, save the completed images, and perform recognition on the complete images to obtain recognition results. The recognition results are then sent to the local data platform for real-time analysis, enabling real-time monitoring of the power industry site.

[0045] The local data platform is used to perform data analysis on the processed field data. That is, after the local data platform receives the valid data sent by the edge computing platform, the valid data is stored in the data storage unit of the local data platform. Furthermore, the data analysis unit of the local data platform performs data analysis on the received processed field data to obtain analysis results, thereby realizing real-time monitoring of the power industry site; the analysis results are displayed through the data display unit of the local data platform.

[0046] The above-mentioned IoT edge computing data acquisition system, the power industry field terminals and edge computing platform in the IoT edge computing data acquisition system respectively establish communication connections with the 5G base station through the 5G core network of the 5G base station, the edge computing platform and the local data platform establish communication connections through the 5G core network, and the power industry field terminals and the local data platform establish communication connections through wired cables; the 5G base station provides a medium for data interaction between the power industry field terminals and the edge computing platform; the local data platform provides data support services for the power industry field terminals and the edge computing platform, and the edge computing platform reduces the network burden and increases the efficiency of data interaction by performing lightweight processing on the field data collected by the power industry field terminals, thereby meeting the needs of real-time monitoring of power field data.

[0047] The present application embodiment provides an Internet of Things edge computing data acquisition system, such as Figure 2 As shown, the system includes a 5G base station, an edge computing platform, a local data platform, electric power industry field terminals, and mobile terminals. The electric power industry field terminals and edge computing platform respectively establish communication connections with the 5G base station via the 5G base station's 5G core network. The edge computing platform establishes a communication connection with the local data platform via the 5G core network. The electric power industry field terminals establish a communication connection with the local data platform via a wired cable. The local data platform includes a data storage unit, a data display unit, and a data analysis unit. The mobile terminal can be, but is not limited to, various personal computers, laptops, smartphones, tablets, IoT devices, and portable wearable devices.

[0048] The power industry field terminal collects field data from power industry sites and sends it to the edge computing platform. The edge computing platform performs lightweight data processing on the received field data and sends the processed field data to the local data platform. The local data platform analyzes the processed field data. The mobile terminal establishes a communication connection with the 5G base station through the 5G core network of the 5G base station. The edge computing platform also sends the processed field data to the mobile terminal, allowing remote access to field data from the power industry site through the mobile terminal.

[0049] The NF functions related to user data in the 5G core network include UDM, AUSF, PCR and UDR, among which UDM: Unified Data Management, is responsible for the management of user identification, contract data, authentication data, and user service network element registration management (such as the AMF and SMF (5G session management) that currently provide services to the terminal. For example, when the user switches the AMF they access, UDM will also initiate a deregistration message to the old AMF, requesting the old AMF to delete user-related information). AUSF: Authentication Server Function, AUSF is used to receive requests from AMF (access and mobility management function) to authenticate the UE, request a key from UDM, and then forward the key issued by UDM to AMF for authentication processing. PCF: Policy Control function, supports a unified policy framework to manage network behavior, provides policy rules to network entities for implementation, and accesses subscription information of the unified data repository (UDR). UDR: Unified Data Repository, used by the UDM to store or access subscription data and the PCF to store or access policy data. This means that mobile terminals establish communication with 5G base stations through the 5G base station's 5G core network, requiring permission management for the mobile terminal's user registration data and access data.

[0050] Operate the edge computing platform on a mobile terminal, set the topic for publishing messages, and set the push parameters (such as the push frequency) for the edge computing platform to push data to the mobile terminal. Different mobile terminals can set different push parameters. Alarm thresholds can also be set on the mobile terminal. When the data in the subscribed topic exceeds the alarm threshold, an alarm prompt is generated. For example, if the field data is video data from an electric power industry site, the mobile terminal can perform real-time remote monitoring of the electric power industry site, perform image recognition on the video data, and generate an alarm prompt when an anomaly is identified.

[0051] The business platform and edge computing platform establish a communication connection via the 5G core network or wired cables. The edge computing platform also responds to business requests from the business platform and sends processed field data that matches the business to the business platform. The edge computing platform includes cloud computing applications based on the MEC (Mobile Edge Computing) architecture, and cloud computing applications on the edge computing platform can also be ported to the local data platform.

[0052] Optionally, in one embodiment, field data is collected via a 5G data collection gateway deployed on a field terminal in the electric power industry. The field terminal in the electric power industry is also used to analyze the timeliness of the field data to obtain the timeliness of the field data; field data with a first timeliness is sent to a local data platform, and field data with a second timeliness is sent to an edge computing platform; wherein the first timeliness is higher than the second timeliness, and according to the timeliness requirements of the field data, field data with different timelinesses are sent to the local data platform and the edge computing platform for processing, thereby reducing the data processing pressure on the field terminal in the electric power industry and reducing data latency. By transplanting the cloud computing application of the edge computing platform to the local data platform, field data with high timeliness requirements is directly sent to the local data platform, and the local data platform processes the field data with the first timeliness, filters out invalid data to obtain valid data, and performs data analysis on the valid data. When it is determined that there is a fault in the field equipment in the electric power industry based on the data analysis results, a fault prompt is issued. Furthermore, the data on the local data platform can be viewed.

[0053] Optionally, in one embodiment, to ensure the security of the power industry site, the edge computing platform encrypts and compresses the processed field data to obtain encrypted data. Upon receiving a service request from the business platform, the encrypted data matching the service is sent to the business platform, which decrypts and decompresses the data and then performs the service processing.

[0054] In the aforementioned IoT edge computing data collection system, data from power industry field terminals is collected via a 5G data collection gateway deployed on the power industry field terminal side. This collected field data is then transmitted to the edge computing platform via the 5G core network connected to the 5G base station. The edge computing platform then performs lightweight data processing on the received field data to obtain processed field data. This lightweight processing is then performed on the edge computing platform to reduce network transmission burdens and prevent data loss during data transmission. The edge computing platform then transmits the processed field data to a local data platform for storage and data analysis, generating and displaying real-time field conditions at the power industry site. The edge computing platform also transmits the processed field data to mobile terminals for display.

[0055] The present application embodiment provides an Internet of Things edge computing data acquisition system, such as Figure 3As shown, the system includes a 5G base station, an edge computing platform, a local data platform, electric power industry field terminals, mobile terminals, and a business platform. The electric power industry field terminals and edge computing platform each establish communication connections with the 5G base station via the 5G base station's 5G core network. The edge computing platform establishes a communication connection with the local data platform via the 5G core network. The electric power industry field terminals establish a communication connection with the local data platform via a wired cable. The local data platform includes a data storage unit, a data display unit, and a data analysis unit. The mobile terminals include at least mobile terminal 1, mobile terminal 2, and mobile terminal n. The electric power industry field terminals include at least sensors, controllers, monitoring equipment, testing equipment, production equipment, and machine vision.

[0056] The power industry field terminal is used to collect field data from the power industry site and transmit it to the edge computing platform. The edge computing platform performs lightweight data processing on the received field data and transmits the processed field data to the local data platform. The local data platform analyzes the processed field data and generates anomaly alerts when anomalies are detected at the power industry site. The overall latency is kept below 25ms, meeting the control requirements of the industrial production process. The mobile terminal establishes a communication connection with the 5G base station through the 5G core network of the 5G base station. The edge computing platform also transmits the processed field data to the mobile terminal, allowing remote access to field data from the power industry site through the mobile terminal.

[0057] The NF functions related to user data in the 5G core network include UDM, AUSF, PCR and UDR, among which UDM: Unified Data Management, is responsible for the management of user identification, contract data, authentication data, and user service network element registration management (such as the AMF and SMF (5G session management) that currently provide services to the terminal. For example, when the user switches the AMF they access, UDM will also initiate a deregistration message to the old AMF, requesting the old AMF to delete user-related information). AUSF: Authentication Server Function, AUSF is used to receive requests from AMF (access and mobility management function) to authenticate the UE, request a key from UDM, and then forward the key issued by UDM to AMF for authentication processing. PCF: Policy Control function, supports a unified policy framework to manage network behavior, provides policy rules to network entities for implementation, and accesses subscription information of the unified data repository (UDR). UDR: Unified Data Repository, used by the UDM to store or access subscription data and the PCF to store or access policy data. This means that mobile terminals establish communication with 5G base stations through the 5G base station's 5G core network, requiring permission management for the mobile terminal's user registration data and access data.

[0058] Use your mobile terminal to operate the edge computing platform, set the topic for publishing messages, and set the push parameters for the edge computing platform to push data to your mobile terminal. Different push parameters can be set for different mobile terminals.

[0059] The business platform and the edge computing platform establish a communication connection through any communication method such as the 5G core network or wired cables; the edge computing platform is also used to respond to business requests from the business platform, determine matching data that matches the business request from the processed field data, and send the matching data to the corresponding business platform to complete business processing.

[0060] In the aforementioned IoT edge computing data collection system, data from power industry field terminals is collected via a 5G data collection gateway deployed on the power industry field terminal side. This collected field data is then transmitted to the edge computing platform via the 5G core network connected to the 5G base station. The edge computing platform then performs lightweight data processing on the received field data to obtain processed field data. This lightweight processing is then performed on the edge computing platform to reduce network transmission burdens and prevent data loss during data transmission. Upon receiving a service request from a business platform, the processed field data matching the service is transmitted to the business platform for processing. The edge computing platform also transmits the processed field data to a local data platform for storage and data analysis, obtaining and displaying real-time information on the power industry field. The edge computing platform also transmits the processed field data to mobile terminals for display.

[0061] Each component of the aforementioned IoT edge computing data acquisition system can be implemented in whole or in part through software, hardware, or a combination thereof. These components can be embedded in or independent of a processor within a computer device in hardware form, or stored in a computer device's memory in software form, allowing the processor to call and execute the corresponding operations.

[0062] Based on the same inventive concept, the embodiments of the present application also provide an IoT edge computing data acquisition method for implementing the IoT edge computing data acquisition system involved above. The implementation solution provided by this system is similar to the implementation solution described in the above method. Therefore, the specific limitations in one or more IoT edge computing data acquisition method embodiments provided below can be found in the above limitations on IoT edge computing data acquisition systems, and will not be repeated here.

[0063] In one embodiment, Figure 4 As shown, a method for collecting data from an IoT edge computing environment is provided, which is applied to a field terminal in the electric power industry and includes the following steps:

[0064] Step 402: respond to the data collection instruction and collect field data in the power industry field.

[0065] Specifically, the power industry field terminal responds to data collection instructions and collects field data through the 5G data collection gateway deployed at the power industry field terminal. The power industry field terminal includes at least one of sensors, controllers, monitoring equipment, testing equipment, production equipment, and machine vision equipment installed at the power industry site.

[0066] In step 404, the field data is sent to the edge computing platform, and the received field data is lightweight processed by the edge computing platform so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

[0067] Optionally, in one embodiment, the timeliness of the field data is analyzed to obtain the timeliness of the field data; if the timeliness is the first timeliness, the field data with the first timeliness is sent to the local data platform; if the timeliness is the second timeliness, the field data with the second timeliness is sent to the edge computing platform; wherein, the first timeliness is higher than the second timeliness.

[0068] In the above-mentioned IoT edge computing data collection method, 5G base stations are used to provide a medium for data interaction between the electric power industry field terminals and the edge computing platform; the local data platform provides data support services for the electric power industry field terminals and the edge computing platform. The electric power industry field terminals upload the collected field data to the edge computing platform through the 5G core network, and the edge computing platform performs lightweight processing on the data and sends it to the local data platform, thereby reducing the network burden, increasing the efficiency of data interaction, and meeting the needs of real-time monitoring of electric power field data.

[0069] In one embodiment, Figure 5 As shown, a method for collecting data from edge computing of the Internet of Things is provided, which is applied in an edge computing platform and includes the following steps:

[0070] Step 502: Receive field data sent by a power industry field terminal.

[0071] Specifically, the edge computing platform receives field data sent by field terminals in the power industry.

[0072] Step 504: Perform data lightweight processing on the received field data to obtain processed field data.

[0073] Step 506: Send the processed field data to the local data platform so that the local data platform can perform data analysis on the processed field data and conduct real-time monitoring of the power industry site.

[0074] Optionally, in one embodiment, the edge computing platform responds to the service request of the service platform, sends the processed field data matching the service to the service platform, and completes the power service processing on the service platform.

[0075] Optionally, in one embodiment, the edge computing platform sends the processed field data to a mobile terminal, displays the processed field data on the mobile terminal, and performs real-time remote monitoring of the power industry site on the mobile terminal.

[0076] The above-mentioned IoT edge computing data collection method provides a medium for data interaction between the power industry field terminals and the edge computing platform through 5G base stations; the local data platform provides data support services for the power industry field terminals and the edge computing platform. The edge computing platform receives the field data collected by the power industry field terminals, and performs lightweight processing on the edge computing platform and sends it to the local data platform, thereby reducing the network burden, increasing the efficiency of data interaction, and meeting the needs of real-time monitoring of power field data.

[0077] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0078] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 6 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for collecting data from edge computing of the Internet of Things is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0079] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0080] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0081] Respond to data collection instructions and collect field data in the power industry;

[0082] The field data is sent to the edge computing platform, and the edge computing platform performs data lightweight processing on the received field data, so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

[0083] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0084] Analyzing the timeliness of the field data to obtain the timeliness of the field data;

[0085] If the timeliness is the first timeliness, sending the field data with the first timeliness to the local data platform;

[0086] The sending of the field data to the edge computing platform includes:

[0087] If the timeliness is the second timeliness, the field data with the second timeliness is sent to the edge computing platform; wherein the first timeliness is higher than the second timeliness.

[0088] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0089] Respond to data collection instructions and collect field data in the power industry;

[0090] The field data is sent to the edge computing platform, and the edge computing platform performs data lightweight processing on the received field data, so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

[0091] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0092] Analyzing the timeliness of the field data to obtain the timeliness of the field data;

[0093] If the timeliness is the first timeliness, sending the field data with the first timeliness to the local data platform;

[0094] The sending of the field data to the edge computing platform includes:

[0095] If the timeliness is the second timeliness, the field data with the second timeliness is sent to the edge computing platform; wherein the first timeliness is higher than the second timeliness.

[0096] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0097] Respond to data collection instructions and collect field data in the power industry;

[0098] The field data is sent to the edge computing platform, and the edge computing platform performs data lightweight processing on the received field data, so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

[0099] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0100] Analyzing the timeliness of the field data to obtain the timeliness of the field data;

[0101] If the timeliness is the first timeliness, sending the field data with the first timeliness to the local data platform;

[0102] The sending of the field data to the edge computing platform includes:

[0103] If the timeliness is the second timeliness, the field data with the second timeliness is sent to the edge computing platform; wherein the first timeliness is higher than the second timeliness.

[0104] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0105] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0106] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0107] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. An Internet of Things edge computing data acquisition system, characterized in that: The system includes a 5G base station, an edge computing platform, a local data platform and an electric power industry field terminal, wherein the electric power industry field terminal and the edge computing platform respectively establish a communication connection with the 5G base station through the 5G core network of the 5G base station, the edge computing platform and the local data platform establish a communication connection through the 5G core network, and the electric power industry field terminal and the local data platform establish a communication connection through a wired cable; The electric power industry field terminal is used to collect field data from the electric power industry field and send the field data to the edge computing platform; a 5G data collection gateway is deployed on the terminal side of the electric power industry field terminal, and the 5G data collection gateway collects field data from the electric power field; the electric power industry field terminal is also used to analyze the timeliness of the field data to obtain the timeliness of the field data; the field data with a first timeliness is sent to the local data platform, and the field data with a second timeliness is sent to the edge computing platform; wherein the first timeliness is higher than the second timeliness; The edge computing platform is configured to perform data lightweight processing on the received field data and send the processed field data to the local data platform; the data lightweight processing includes filtering invalid data in the collected field data to obtain valid data, and classifying the valid data to obtain processed field data; the edge computing platform is further configured to encrypt and compress the processed field data to obtain encrypted data; The local data platform is used to perform data analysis on the processed field data and to perform real-time monitoring of the power industry site.

2. The system according to claim 1, wherein: The local data platform is also used to perform data lightweight processing and analysis on the field data with the first timeliness.

3. The system according to claim 1, wherein: The system also includes a mobile terminal, which establishes a communication connection with the 5G base station through the 5G core network of the 5G base station. The edge computing platform is also used to send processed field data to the mobile terminal, and remotely obtain field data of the power industry site through the mobile terminal.

4. The system according to claim 1, wherein: The electric power industry field terminal includes at least one of a sensor, a controller, a monitoring device, a testing device, a production device, and a machine vision device installed at the electric power industry field.

5. The system according to claim 1, wherein: The system also includes a business platform, and the business platform and the edge computing platform establish a communication connection through any one of the communication methods of the 5G core network or the wired cable; the edge computing platform is also used to respond to the business request of the business platform and send the processed field data matching the business to the business platform.

6. A method for collecting data from edge computing of the Internet of Things, characterized in that: Applied to the system according to any one of claims 1 to 5, the method comprises: Respond to data collection instructions and collect field data in the power industry; Analyzing the timeliness of the field data to obtain the timeliness of the field data; If the timeliness is the first timeliness, sending the field data with the first timeliness to the local data platform; If the timeliness is the second timeliness, sending the field data with the second timeliness to the edge computing platform; wherein the first timeliness is higher than the second timeliness; The edge computing platform performs data lightweight processing on the received field data, so that the edge computing platform sends the processed field data to the local data platform for data analysis and performs real-time monitoring of the power industry site.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to claim 6 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 6 are implemented.

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