Intelligent industrial gateway AI LoRA WAN

Abstract

The invention discloses an intelligent industrial gateway AI LoRA WAN, which comprises a monitoring device, a local area network module, a wide area network module, a data acquisition module, a data processing module, a chip encryption module, a data uploading module, an instruction issuing module and a monitoring end, the monitoring device and the monitoring end perform communication connection and data transmission through the local area network module, the data acquisition module acquires data from the monitoring device, the data processing module is used for processing the data, and the data reporting module is used for reporting the processed data to the monitoring end for analysis and diagnosis. The command issuing module is used for issuing the control command of a monitoring end to a monitoring device for control, and the chip encryption module is used for encrypting processed data and uploading the encrypted data to a cloud server for storage through the wide area network module.

Description

Technical Field

[0001] The present invention relates to the field of gateway technology, and in particular to an intelligent industrial gateway AI LoRA WAN. Background Art

[0002] Industrial gateways are core devices that connect the Internet, the Internet of Things, and the control layer. They play a connecting role in the industrial Internet, including the industrial Internet cloud platform, manufacturing execution system, etc., and data acquisition and monitoring systems, programmable logic controllers, CNC machine tools, sensors, etc. Existing industrial gateways usually only perform data acquisition, transmission, and storage, and their functions are relatively simple. They can no longer meet the needs of some occasions, and the data pressure on cloud data centers is high. Summary of the invention

[0003] The object of the present invention is to provide an intelligent industrial gateway AI LoRA WAN for solving the above problems.

[0004] To achieve the above object, the present invention adopts the following technical solutions: An intelligent industrial gateway AI LoRA WAN comprises a monitoring device, a local area network module, a wide area network module, a data acquisition module, a data processing module, a chip encryption module, a data upload module, an instruction issuing module and a monitoring end, wherein the monitoring device and the monitoring end are connected for communication and data transmission through the local area network module, the data acquisition module collects data from the monitoring device, the data processing module is used to process the data, the data reporting module is used to report the processed data to the monitoring end for analysis and diagnosis, and generate control instructions, the instruction issuing module is used to issue the control instructions of the monitoring end to the monitoring device for control, the chip encryption module is used to encrypt the processed data, and upload it to a cloud server for storage through the wide area network module, the monitoring end comprises an IOT Internet of Things platform and a monitoring service platform, the IOT Internet of Things platform is established based on a multi-tenant SaaS structure, and uses acquired data for real-time monitoring and persistent storage, and the monitoring service platform is used to perform fault diagnosis on problem data, and generate control instructions to troubleshoot.

[0005] Preferably, the LAN network module includes an extra-LAN network submodule and an intra-LAN network submodule, the extra-LAN network submodule is a network module based on at least one communication protocol of 4G and Ethernet, and the intra-LAN network submodule is a network module based on at least one communication protocol of WiFi 2.4G, LoRa and Bluetooth.

[0006] Preferably, the data processing module includes a video processing submodule and an AI preprocessing submodule, the video processing submodule is used to analyze and process the video data, and the AI ​​preprocessing submodule is used to analyze and preprocess the AI ​​data.

[0007] Preferably, the monitoring service platform includes a business middle platform and an application layer. The business middle platform is used to diagnose problem data and push it to the application layer for early warning. The application layer pushes the early warning information and generates control instructions for the monitoring device.

[0008] Preferably, the application layer pushes warning messages in the following ways: intelligent voice calls, platform message records, mini-program message reminders, SMS reminders, and PC-side background message reminders.

[0009] Preferably, the cloud server is connected to the application layer via a chip decryption gateway.

[0010] After adopting the above technical solution, the present invention has the following beneficial effects compared with the background technology: The present invention provides an intelligent industrial gateway AI LoRA WAN. In addition to conventional data collection, transmission and storage, the gateway can also directly process video data and AI data collected by various monitoring devices, and then report the processed data to the monitoring end. The monitoring end matches the policy rules to process the data in real time, extracts abnormal information, and processes it according to the policy rules to trigger notifications, thereby improving the efficiency and reliability of video monitoring in some scenarios. At the same time, the data processed by the gateway is encrypted and then uploaded to the cloud server for backup storage, which not only reduces the data processing and storage pressure on the cloud, but also improves the security of cloud data. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 It is a flowchart of the present invention; Figure 2 This is a schematic diagram of the first layer circuit of the intelligent industrial gateway of the present invention; Figure 3 This is a schematic diagram of the second layer circuit of the intelligent industrial gateway of the present invention; Figure 4 This is a schematic diagram of the third layer circuit of the intelligent industrial gateway of the present invention; DETAILED DESCRIPTION

[0012] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0013] Example

[0014] Cooperate Figures 1 to 4As shown, the present invention discloses an intelligent industrial gateway AI LoRA WAN (intelligent remote wireless communication wide area network), including a monitoring device, a local area network module, a wide area network module, a data acquisition module, a data processing module, a chip encryption module, a data upload module, an instruction sending module and a monitoring end. The monitoring device and the monitoring end are connected for communication and data transmission through the local area network module. The data acquisition module collects data from the monitoring device. The data processing module is used to process the data. The data reporting module is used to report the processed data to the monitoring end for analysis and diagnosis, and generate control instructions. The instruction sending module is used to send the control instructions of the monitoring end to the monitoring device for control. The chip encryption module is used to encrypt the processed data and upload it to the cloud server for storage through the wide area network module.

[0015] When the cloud server stores encrypted data, it must be decrypted before it can be stored. The decryption password and the encryption password of the chip encryption module are matching dynamic passwords. If one end of the cloud server or the smart industrial gateway is shut down or restarted, the U-shield needs to be synchronized to ensure the consistency of the encryption and decryption keys.

[0016] The LAN network module includes an extra-LAN submodule and an intra-LAN submodule. The extra-LAN submodule is a network module based on at least one communication protocol of 4G and Ethernet, and the intra-LAN submodule is a network module based on at least one communication protocol of WiFi 2.4G, LoRa and Bluetooth. The appropriate network protocol can be selected according to the needs of the monitoring device and the monitoring end for communication connection and data transmission.

[0017] The data processing module includes a video processing submodule and an AI preprocessing submodule. The video processing submodule is used to analyze and process video data, and the AI ​​preprocessing submodule is used to analyze and preprocess AI data.

[0018] The monitoring end includes the IOT platform and the monitoring service platform. The IOT platform is built on a multi-tenant SaaS structure. Under the Sass structure, it can support multiple tenants. Each tenant has its own independent data and permissions. The data and permissions between different tenants are isolated from each other and do not interfere with each other. It uses acquired data for real-time monitoring and persistent storage. At the same time, the device metadata of each monitoring device in the system is also stored in the basic data module. The device metadata includes the device number, installation location, device object model, etc. The monitoring service platform is used to diagnose the problem data and generate control instructions to troubleshoot.

[0019] The monitoring service platform includes a business middle platform and an application layer. The business middle platform is used to diagnose problem data and push it to the application layer for early warning. The application layer pushes the early warning information and generates control instructions for the monitoring device.

[0020] The application layer pushes warning messages through smart voice calls, platform message records, mini-program message reminders, SMS reminders, and PC background message reminders.

[0021] The cloud server is connected to the application layer through the chip decryption gateway.

[0022] Video data mainly includes videos collected by a series of camera devices such as management cameras and live broadcast cameras. The data processing module then analyzes and processes the video data and reports it to the monitoring end. The business middle station matches the policy rules to process the data in real time, extracts abnormal information, and processes it according to the policy rules. The application layer triggers the notification to the corresponding personnel to inquire about the abnormal situation, and generates the corresponding control instructions for the monitoring device to control the monitoring device to perform actions and eliminate the abnormality. At the same time, the processed video data is encrypted and uploaded to the cloud server for backup storage. The application layer can directly decrypt it through the chip decryption gateway for viewing and playback.

[0023] AI data mainly includes AI data collected in AI management places such as security management, fire management and production management, such as access control and attendance in security management, smoke, fire and thermal imaging sensors in fire management, and standardized production and safe production behaviors in production management. After preliminary AI preprocessing by the data processing module, it is uploaded and reported to the monitoring end. The business middle station matches the policy rules and downloads the preprocessed AI data for further AI analysis, so as to timely discover irregular behaviors and dangerous events in AI management places, and then issue early warnings at the application layer to eliminate dangerous situations in a timely manner.

[0024] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An intelligent industrial gateway AI LoRA WAN, characterized by: It includes a monitoring device, a local area network module, a wide area network module, a data acquisition module, a data processing module, a chip encryption module, a data upload module, an instruction issuing module and a monitoring end. The monitoring device and the monitoring end communicate and transmit data through the local area network module. The data acquisition module collects data from the monitoring device. The data processing module is used to process the data. The data reporting module is used to report the processed data to the monitoring end for analysis and diagnosis, and generate control instructions. The instruction issuing module is used to issue the control instructions of the monitoring end to the monitoring device for control. The chip encryption module is used to encrypt the processed data and upload it to the cloud server for storage through the wide area network module. The monitoring end includes an IOT Internet of Things platform and a monitoring service platform. The IOT Internet of Things platform is established based on a multi-tenant SaaS structure, and it uses acquired data for real-time monitoring and persistent storage. The monitoring service platform is used to diagnose problem data and generate control instructions to troubleshoot.

2. The intelligent industrial gateway AI LoRA WAN according to claim 1, characterized in that: The LAN network module includes an extra-LAN network submodule and an intra-LAN network submodule. The extra-LAN network submodule is a network module based on at least one communication protocol of 4G and Ethernet, and the intra-LAN network submodule is a network module based on at least one communication protocol of WiFi 2.4G, LoRa and Bluetooth.

3. The intelligent industrial gateway AI LoRA WAN according to claim 1, characterized in that: The data processing module includes a video processing submodule and an AI preprocessing submodule. The video processing submodule is used to analyze and process video data, and the AI ​​preprocessing submodule is used to analyze and preprocess AI data.

4. The intelligent industrial gateway AI LoRA WAN according to claim 1, characterized in that: The monitoring service platform includes a business middle platform and an application layer. The business middle platform is used to diagnose problem data and push it to the application layer for early warning. The application layer pushes the early warning information and generates control instructions for the monitoring device.

5. The intelligent industrial gateway AI LoRA WAN as claimed in claim 4, characterized in that: The application layer pushes warning messages in the following ways: intelligent voice calls, platform message records, mini-program message reminders, SMS reminders, and PC-side background message reminders.

6. The intelligent industrial gateway AI LoRA WAN according to claim 5, characterized in that: The cloud server is connected to the application layer via a chip decryption gateway.

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