An IoT platform operation and maintenance method based on cloud-edge collaboration

Abstract

The present invention provides an operation and maintenance method for an Internet of Things platform based on cloud-edge collaboration, which belongs to the field of electrical digital data processing, and specifically relates to the field of cloud-based Internet of Things technology. The cloud platform communicates with at least one edge Internet of Things platform, and the edge Internet of Things platform connects a number of terminal devices to form a complete functional scenario. The cloud platform provides basic resources and static data, and the cloud platform also stores the object model and flow rules of the edge Internet of Things platform and its connected terminal devices. The edge Internet of Things platform submits the dynamic data of its own status and the terminal dynamic data of the corresponding terminal real-time status to the cloud platform in real time. The cloud platform displays the edge timing status of the corresponding edge Internet of Things platform and the terminal timing status of the corresponding terminal based on the dynamic data. The cloud platform performs big data statistical analysis on the business data, and generates an analysis report reflecting the healthy operating status of the edge Internet of Things platform and the corresponding terminal equipment, so that the cloud operation and maintenance personnel can respond in time, thereby improving the operation and maintenance efficiency.

Description

Technical Field

[0001] The present invention relates to an operation and maintenance method of an Internet of Things platform based on cloud-edge collaboration, which belongs to the field of electronic digital data processing, and specifically to the technical field of cloud-based Internet of Things. Background Art

[0002] With the deployment of IoT platforms in the cloud and the continuous growth of edge IoT platforms, the differences between cloud IoT platforms and edge IoT platforms have caused differences in operation and maintenance, and with the iteration and upgrade of products, the labor cost of edge IoT platform operation and maintenance will also increase. In the current operation and maintenance methods, when the edge IoT and its terminals fail, the operation and maintenance personnel perform operation and maintenance after learning the failure at the edge, which makes it difficult to effectively manage each edge IoT platform and even the terminal equipment. In addition, the edge IoT platform operation and maintenance personnel lack the ability to analyze and warn the monitoring data of IoT platform applications and devices, so a lot of training is required for the edge IoT platform operation and maintenance personnel, resulting in high labor operation and maintenance costs. Summary of the invention

[0003] The purpose of the present invention is to provide an Internet of Things platform operation and maintenance method based on cloud-edge collaboration, which is used to solve the problems of untimely operation and maintenance and high operation and maintenance costs of edge Internet of Things platforms.

[0004] In order to achieve the above-mentioned objectives, the present invention provides an operation and maintenance method of an Internet of Things platform based on cloud-edge collaboration, wherein a cloud platform communicates with at least one edge Internet of Things platform, and the edge Internet of Things platform connects a number of terminal devices to form a complete functional scenario; the cloud platform manages and provides basic resources and static data; the cloud platform stores the object model and flow rules of the edge Internet of Things platform and its connected terminal devices; the edge Internet of Things platform submits dynamic data of its own status to the cloud platform in real time; the cloud platform displays the edge timing status of the corresponding edge Internet of Things platform according to the dynamic data.

[0005] The beneficial effect of the present invention is that: a process is established for the edge IoT platform to upload its own status and business data to the cloud IoT platform, which facilitates the cloud IoT platform operation and maintenance personnel to directly and timely understand the status of each edge IoT and make operation and maintenance responses. In addition, for some edge IoT platforms, operation and maintenance personnel may not be deployed, and cloud operation and maintenance personnel will be deployed and dispatched after a fault occurs, thereby reducing the manpower operation and maintenance costs.

[0006] Furthermore, in the above-mentioned IoT platform operation and maintenance method based on cloud-edge collaboration, the edge IoT platform submits terminal dynamic data of the real-time status of the corresponding terminal to the cloud platform; the cloud platform displays the terminal timing status of the corresponding terminal based on the terminal dynamic data.

[0007] The cloud platform can also obtain dynamic data of each terminal device in a timely manner, and by comparing it with the flow rules, it can roughly determine the operating status of the terminal device. This makes it easier for cloud personnel to understand the status of each terminal device in a timely manner and make operational and maintenance responses, thereby improving operational and maintenance efficiency.

[0008] Furthermore, in the above-mentioned IoT platform operation and maintenance method based on cloud-edge collaboration, the edge IoT platform submits corresponding terminal business data to the cloud platform.

[0009] Uploading and aggregating business data to the cloud platform will help to discover abnormal situations using big data analysis in the cloud, which will facilitate early detection and warning of faults.

[0010] Furthermore, in the above-mentioned IoT platform operation and maintenance method based on cloud-edge collaboration, the business data does not include confidential data and privacy data.

[0011] The collection and uploading of business data excludes confidential data and private data, protecting the privacy of users and meeting confidentiality requirements.

[0012] Furthermore, in the above-mentioned IoT platform operation and maintenance method based on cloud-edge collaboration, the cloud platform performs big data statistical analysis on the business data and generates an analysis report reflecting the operating health status of the edge IoT platform and the corresponding terminal devices.

[0013] Big data statistical analysis of business data helps cloud IoT operation and maintenance personnel to understand the difference between the current operating status and historical data through big data technology, which helps to analyze and discover anomalies, provide early warnings, and improve the detection rate of potential faults.

[0014] Furthermore, in the above-mentioned IoT platform operation and maintenance method based on cloud-edge collaboration, the edge IoT platform submits the location information of the corresponding terminal to the cloud platform; the cloud platform displays the positioning trajectory of the corresponding terminal.

[0015] Some terminal devices are mobile devices. The cloud platform obtains the location track of the terminal devices to help on-site maintenance personnel find the terminal devices quickly and promptly and provide technical support.

[0016] Furthermore, in the above-mentioned IoT platform operation and maintenance method based on cloud-edge collaboration, the cloud platform also stores the system version information of the edge IoT platform and the corresponding terminal devices, and the cloud platform pushes the upgrade program to the corresponding edge IoT platform and terminal devices that need to be upgraded; after the upgrade is completed, the corresponding edge IoT platform uploads the upgrade results to the cloud platform, and the cloud platform displays the upgrade results.

[0017] In the prior art, the upgrade results of edge devices are only summarized to the edge IoT platform. The present invention enables the edge IoT platform to upload the upgrade results to the cloud platform for display, so that cloud operation and maintenance personnel can intervene in time when they find abnormalities such as upgrade failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a structural schematic diagram of the present invention;

[0019] Figure 2 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings and embodiments.

[0021] The IoT platform operation and maintenance method based on cloud-edge collaboration of the present invention is as follows: Figure 1 As shown, the cloud-edge IoT architecture specifically includes at least one cloud IoT platform (hereinafter referred to as the cloud), multiple edge IoT platforms (hereinafter referred to as the edge) and multiple terminal devices to form a complete system and realize complete functional scenarios, such as campus card payment. In the campus card payment scenario, the cloud platform is the service provider, responsible for the technical support and operation and maintenance of the equipment in the scenario, and the edge IoT platform connects the terminal devices in the scenario, responsible for the access of the terminal devices, data preprocessing, etc. For example, payment devices, consumer machines and account platforms are all deployed on the edge, which can realize face recognition consumption scenarios. The edge IoT platform is also connected to the face recognition platform. The information flow between the terminal devices on the edge is forwarded in a directional manner through the edge IoT platform. For example, the collected face recognition information is sent to the face recognition platform according to the flow rules, and the account information is sent to the account platform for account registration.

[0022] In the prior art, the cloud uniformly manages and provides basic resources and static data (such as business rules, etc.) to the edge, including synchronizing terminal programs and data to the edge. After receiving the data, the edge performs correct control and manages the business data interaction between the corresponding terminals. The dynamic data generated during the operation is stored on the edge for statistics and operation and maintenance. At the same time, data interaction mainly relies on direct transmission via file transfer, and then is exported and imported on the edge. That is, the cloud provides basic resources, and the edge relies on manual import. From the perspective of operation and maintenance, only when problems with the terminal are discovered through the edge will the operation and maintenance personnel go to deal with it.

[0023] The present invention opens up the path between the cloud and the edge, and the dynamic data during operation (the state change at each time point, that is, the data at each time point) is collected in the cloud, which can be displayed to the cloud operation and maintenance personnel to achieve remote operation and maintenance. At the same time, big data statistical analysis can be performed in the cloud to achieve fault warning analysis. That is, the present invention transmits dynamic data to the cloud, analyzes and locates it in the cloud, finds abnormal problems, and displays dynamic data in the cloud in real time. At the same time, the data upload rhythm is controlled and arranged by the cloud.

[0024] The specific flow chart is as follows Figure 2 As shown, the cloud IoT platform stores information such as the physical model, flow rules, and system version of the edge IoT platform and its connected terminal devices; the physical model includes the functional definition of the terminal device, such as whether the consumer machine can realize consumption, and what content will be transmitted and returned in the consumer business, etc., which are registered together as the functional definition; the flow rule is the defined direction of data forwarding transmission. For example, in the process of face recognition consumption, the collected face information should be sent to the face recognition platform according to the flow rule, and the account is sent to the account platform for account registration, and the dynamic data at the edge is processed according to the flow rule; the system version is the system version information of each terminal device.

[0025] The edge IoT platform manages the secure access of terminal devices, collects terminal device status and various business data, manages various terminal parameters, issues lists and commands to terminal devices, manages terminal applications, etc. The edge collects dynamic data of each terminal device and transmits the dynamic data of the edge IoT platform to the cloud IoT platform. The dynamic data includes the operating status of the IoT platform, the operating status of each terminal device connected to the IoT platform, and the business data transmitted by the terminal device that does not contain user privacy information and confidential information. The cloud IoT platform displays the edge timing status of the edge IoT platform and the terminal timing status of the terminal connected to the edge IoT platform based on the dynamic data transmitted by the edge IoT. The cloud IoT platform compares the flow rules stored in itself with the received edge timing status or terminal timing status to find anomalies and issue fault warnings. The cloud IoT platform can display the received edge timing status or terminal timing status to the operation and maintenance personnel of the cloud IoT platform, perform big data statistical analysis on the dynamic data, and generate an analysis report reflecting the health status of the edge IoT platform and the corresponding terminal devices, so that the operation and maintenance personnel of the cloud IoT platform can issue scheduling instructions to the operation and maintenance personnel of the edge IoT platform based on the analysis report. The cloud IoT platform will also send the analysis report to the operation and maintenance personnel of the edge IoT platform, so that the operation and maintenance personnel of the edge IoT platform can quickly analyze the cause of the failure of the edge IoT platform and the corresponding terminal equipment according to the analysis report and perform targeted repairs.

[0026] In the payment scenario, the payment device and the consumer machine are deployed on the edge IoT platform. The identification platform for identity recognition and the accounting platform for consumer account management are also deployed on the edge IoT platform. In addition, the payment cloud platform, as a cloud IoT platform, coordinates with the above-mentioned edge IoT platforms. Before the payment cloud platform and each edge IoT platform coordinate, each terminal device has been connected to the corresponding edge IoT platform and pre-processed the data. The payment device interacts with the consumer machine. For example, in the process of scanning the payment code, the dynamic data of the payment device includes the identity recognition data sent to the identity recognition platform and the accounting data sent to the accounting platform. The corresponding platforms interact with each other to achieve account information matching and deduction of matching accounts. On this basis, each edge IoT platform will also upload business data that does not involve user privacy and confidentiality to the cloud platform in real time. The cloud platform displays the edge timing status and terminal timing status to the cloud operation and maintenance personnel based on these dynamic data. At the same time, the cloud can compare the flow rules in the cloud platform with the edge timing status or terminal timing status to know whether the edge data flow is normal, so as to provide fault warning. Each edge IoT platform also sends the real-time positioning information (GIS positioning) of each mobile terminal device (such as vehicle-mounted devices and handheld devices) to the payment cloud platform, which facilitates the dispatch and rapid arrival of maintenance personnel in fault maintenance scenarios. The payment cloud platform also conducts big data statistical analysis on dynamic data to obtain analysis reports for cloud maintenance personnel to view so that they can allocate and dispatch edge maintenance personnel in a timely and accurate manner, thereby improving maintenance efficiency and saving maintenance manpower.

[0027] Based on the Internet of Things platform operation and maintenance method of the present invention, a two-level cloud-edge operation and maintenance system can be constructed. The unified cloud-side operation and maintenance personnel discover problems, anomalies and hidden dangers in the cloud, and have the edge-side operation and maintenance personnel handle them to solve the problems. This can greatly reduce the deployment of edge-side operation and maintenance forces, and can efficiently and timely mobilize edge-side operation and maintenance forces, handle anomalies in a timely manner, reduce operation and maintenance costs, and improve fault handling efficiency.

[0028] After the new version of the product terminal program is released, the cloud IoT platform operation and maintenance personnel will establish an upgrade program on the cloud IoT platform (i.e., on the R&D side, the cloud IoT will develop and test the new version) and complete the establishment and release of basic resources. The cloud IoT platform will determine which edge IoT platforms to push the upgrade program to based on the stored system version information. After receiving the upgrade program, the edge IoT platform will forward it to each terminal device. After the terminal device obtains the upgrade program, it will upgrade. The edge IoT platform will summarize the upgrade results (including which terminals have been successfully upgraded and which have failed) and send them to the cloud IoT platform. The cloud IoT platform will display the received upgrade results in real time, so that the cloud operation and maintenance personnel can find the failed devices and provide timely technical support.

[0029] In the prior art, the upgrade program is sent without registration, and the information of the upgrade result is stored on the edge, which performs operation and maintenance monitoring. The present invention transmits the result to the cloud for display and analysis, thereby realizing the linkage between the development side (cloud) and the operation and maintenance side (edge).

[0030] Through the present invention, the cloud IoT platform operation and maintenance personnel can effectively perform unified maintenance on multiple edge IoT platforms, and timely dispatch operation and maintenance personnel to the terminal equipment for maintenance according to the specific situation, or promptly notify the edge IoT operation and maintenance personnel, thereby greatly reducing the workload and work requirements of the edge IoT operation and maintenance personnel. In addition, the cloud IoT platform can monitor all terminal device information in real time, and can analyze the information obtained by the cloud IoT platform in a big data manner, improve the operation and maintenance system according to the big data analysis report, and thus improve the efficiency of operation and maintenance management.

Claims

1. An IoT platform operation and maintenance method based on cloud-edge collaboration, wherein the cloud platform communicates with at least one edge IoT platform, and the edge IoT platform connects several terminal devices to form a complete functional scenario; the cloud platform manages and provides basic resources and static data; characterized in that: The cloud platform stores the physical model and flow rules of the edge IoT platform and its connected terminal devices; the edge IoT platform submits dynamic data of its own status to the cloud platform in real time; The cloud platform displays the edge timing status of the corresponding edge IoT platform to the operation and maintenance personnel of the cloud platform based on the dynamic data, and performs big data statistical analysis on the dynamic data to generate an analysis report reflecting the healthy operating status of the edge IoT platform. The operation and maintenance personnel of the cloud platform issue scheduling instructions to the operation and maintenance personnel of the edge IoT platform based on the analysis report, and send the analysis report to the operation and maintenance personnel of the edge IoT platform. The operation and maintenance personnel of the edge IoT platform analyzes the cause of the failure of the edge IoT platform based on the analysis report and performs targeted maintenance.

2. The method for operating and maintaining an IoT platform based on cloud-edge collaboration according to claim 1, characterized in that: The edge IoT platform submits terminal dynamic data of the real-time status of the corresponding terminal device to the cloud platform; the cloud platform displays the terminal timing status of the corresponding terminal device to the operation and maintenance personnel of the cloud platform based on the terminal dynamic data, and performs big data statistical analysis on the dynamic data to generate an analysis report reflecting the health status of the terminal device corresponding to the edge IoT platform. The operation and maintenance personnel of the cloud platform issue scheduling instructions to the operation and maintenance personnel of the edge IoT platform based on the analysis report, and send the analysis report to the operation and maintenance personnel of the edge IoT platform. The operation and maintenance personnel of the edge IoT platform analyze the cause of the failure of the terminal device corresponding to the edge IoT platform based on the analysis report and perform targeted maintenance.

3. The method for operating and maintaining an IoT platform based on cloud-edge collaboration according to claim 2, characterized in that: The edge IoT platform submits the corresponding terminal device business data to the cloud platform.

4. The method for operating and maintaining an IoT platform based on cloud-edge collaboration according to claim 3 is characterized in that: The business data does not include confidential data and privacy data.

5. The method for operating and maintaining an IoT platform based on cloud-edge collaboration according to claim 4 is characterized in that: The edge IoT platform submits the location information of the corresponding terminal device to the cloud platform; the cloud platform displays the positioning trajectory of the corresponding terminal device.

6. The method for operating and maintaining an IoT platform based on cloud-edge collaboration according to any one of claims 1 to 4, characterized in that: The cloud platform also stores the system version information of the edge IoT platform and the corresponding terminal devices, and the cloud platform pushes the upgrade program to the corresponding edge IoT platform and terminal devices that need to be upgraded; after the upgrade is completed, the corresponding edge IoT platform uploads the upgrade result to the cloud platform, and the cloud platform displays the upgrade result.

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