Artificial intelligence expansion module of edge intelligent controller

Abstract

The utility model provides an edge intelligent controller artificial intelligence expansion module comprising an acquisition module connected with a main control module, the acquisition module comprising one or more combinations of an Ethernet interface, a USB interface and an input interface; the main control module is connected with a right extension module; the right expansion module is in communication connection with the edge intelligent controller, and the right expansion module comprises a power input and a right expansion interface. The edge intelligent controller artificial intelligence expansion module can provide an additional calculation unit and support parallel processing capability, so that the data processing speed is accelerated. In the artificial intelligence extension module of the edge intelligent controller, a more efficient algorithm can be adopted or an existing algorithm can be optimized, so that the demand of computing resources is reduced, and the computing efficiency is improved. The device can also be used in cooperation with an edge intelligent controller, and reliable integration is achieved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of industrial control, and in particular to an edge intelligent controller artificial intelligence extension module. BACKGROUND

[0002] Industrial controllers, as the core components of automation control systems, play an important role in information collection, processing and data transmission in industrial production processes. With the development of sensor technology and network communication technology, the functions of industrial controllers have expanded from simple signal processing to complex data management and analysis.

[0003] Industrial controllers gradually integrate advanced features such as machine learning algorithms, enabling them to process unstructured data such as video and images, and perform complex logical operations, thus giving industrial controllers data processing capabilities that enable real-time monitoring, predictive maintenance and remote management. In addition, the application of edge computing technology enables data to be processed locally rather than uploaded to the cloud, thereby reducing latency and improving response speed.

[0004] However, when processing large amounts of data, executing deep learning models or performing complex pattern recognition tasks, the computing resources of industrial controllers are insufficient. CONTENT OF THE UTILITY MODEL

[0005] The application provides an edge intelligent controller artificial intelligence extension module to solve the problem of insufficient computing resources of industrial controllers.

[0006] The application provides an edge intelligent controller artificial intelligence extension module, comprising:

[0007] The acquisition module is connected to the main control module, and the acquisition module comprises one or more combinations of an Ethernet interface, a USB interface and an input interface;

[0008] The main control module is connected to the right extension module;

[0009] The right extension module is in communication connection with the edge intelligent controller, and the right extension module comprises a power input and a right extension interface.

[0010] The edge intelligent controller artificial intelligence extension module can provide additional computing units to support parallel processing capabilities, thereby speeding up data processing. In the edge intelligent controller artificial intelligence extension module, more efficient algorithms or optimization of existing algorithms can be used to reduce the demand for computing resources and improve computing efficiency.

[0011] In some possible embodiments, further comprising:

[0012] A power supply module is connected to the main control module, and the power supply module includes a DC-DC converter. The DC-DC converter is connected to a power input and converts the input voltage into an operating voltage of the main control module.

[0013] In some feasible embodiments, an indicator light is further included, connected to the power input and the power module, so that the user can know the power status of the device in a timely manner.

[0014] In some feasible embodiments, the chip model of the power module is MP8765GQ-Z.

[0015] In some feasible embodiments, the input interface is an HDMI input interface;

[0016] Also includes:

[0017] The output interface is connected to the main control module, and the output interface is an HDMI output interface.

[0018] Real-time display on the edge side can be supported through the output interface.

[0019] In some feasible embodiments, a serial communication interface and a debugging interface are also included;

[0020] The main control module is connected to the debugging interface and the right expansion module through the serial communication interface.

[0021] In some feasible embodiments, the chip model of the main control module is RK3588.

[0022] In some feasible embodiments, the chip model of the Ethernet interface is RTL8211FSI-CG.

[0023] In some feasible embodiments, the right expansion interface uses an RS485 interface.

[0024] It can be seen from the above technical solution that the present application provides an edge intelligent controller artificial intelligence expansion module, including: an acquisition module, which is connected to a main control module, and the acquisition module includes one or more combinations of an Ethernet interface, a USB interface, and an input interface; the main control module is connected to a right expansion module; the right expansion module is communicatively connected to the edge intelligent controller, and the right expansion module includes a power input and a right expansion interface. The edge intelligent controller artificial intelligence expansion module can provide additional computing units and support parallel processing capabilities, thereby speeding up data processing. In the edge intelligent controller artificial intelligence expansion module, more efficient algorithms can be used or existing algorithms can be optimized to reduce the demand for computing resources and improve computing efficiency. It can also be used in conjunction with an edge intelligent controller to achieve reliable integration. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0026] Figure 1 A schematic diagram of the structure of the artificial intelligence expansion module of the edge intelligent controller provided in an embodiment of the present application;

[0027] Figure 2 A connection diagram of the edge intelligent controller artificial intelligence expansion module provided in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The following embodiments are described in detail, with examples illustrated in the accompanying drawings. When the following description refers to the drawings, identical numbers in different figures represent identical or similar elements unless otherwise indicated. The embodiments described in the following embodiments are not intended to represent all possible implementations consistent with the present application. They are merely examples of systems and methods consistent with certain aspects of the present application, as detailed in the claims.

[0029] See also Figure 1 、 Figure 2 An embodiment of the present application provides an artificial intelligence expansion module for an edge intelligent controller, including: an acquisition module connected to a main control module, the acquisition module including one or more combinations of an Ethernet interface, a USB interface, and an input interface; the main control module is connected to a right expansion module; the right expansion module is communicatively connected to the edge intelligent controller, and the right expansion module includes a power input and a right expansion interface.

[0030] The acquisition module collects external data or signals and can include various interfaces for connecting to various types of sensors or other data sources. Through various interfaces (such as Ethernet, USB, and input ports), the acquisition module can obtain data from external devices and pass it to the main control module for processing.

[0031] The Ethernet interface, USB interface and input interface can be adapted to different sensors. That is, data from different sensors can be collected through the Ethernet interface, USB interface and input interface. These sensors may include temperature sensors, cameras, pressure sensors, etc.

[0032] The Ethernet interface is used to connect devices with network communication capabilities. These devices can transmit data via network protocols such as TCP / IP, such as environmental sensors, industrial sensors, and smart meters. In some embodiments, the Ethernet interface chip model is RTL8211FSI-CG, which is connected to the main control module to ensure stable network communication capabilities of the device.

[0033] The USB interface is used to connect portable devices or devices that need to exchange data with the host at high speed, such as U disks, USB sensors, etc. The USB interface can be used to collect data of sensors related to environmental monitoring, such as temperature and humidity meters, light intensity meters; it can also be used to collect data of GPS modules. The input interface is an HDMI interface, which is used to transmit high-definition video and audio signals. In the scene of collecting data, the HDMI interface is used to connect a camera or other video source device to collect camera data.

[0034] In some embodiments, the input interface is an HDMI input interface; the edge intelligent control robot artificial intelligence expansion module further comprises an output interface connected with the main control module, and the output interface is also an HDMI output interface. That is, the edge intelligent control robot artificial intelligence expansion module provided in the embodiment supports HDMI input and output, and can display data in real time and collect external sensor data.

[0035] For example, the HDMI output interface can be connected with an external display screen, and the data collected by the collection module or the data processed by the main control module can be displayed on the display.

[0036] The main control module is used to process the data sent by the collection module and coordinate the work of other modules. The main control module includes a microprocessor or a microcontroller, which is used to execute program code, process data, make decisions, and interact with other modules. The main control module processes the collected data and generates corresponding output instructions through algorithm analysis, logical judgment, etc.

[0037] In some embodiments, the chip model of the main control module is RK3588. RK3588 is a general-purpose SoC using ARM architecture, integrating a typical size core architecture of four-core Cortex-A76 and four-core Cortex-A55 CPU, and a G610MP4 GPU capable of running complex graphics processing smoothly. The embedded 3D GPU makes RK3588 fully compatible with Open GLES 1.1, 2.0 and 3.2, OpenCL up to 2.2 and Vulkan 1.2. The special 2D hardware engine with MMU will maximize the display performance and provide very smooth operation. And the NPU with 6TOPs computing power enables various AI scenarios, providing various possibilities for complex local offline AI computing, complex video stream analysis and other applications. Built-in multiple powerful embedded hardware engines support 8K@60fps H.265 and VP9 decoder, 8K@30fps H.264 decoder and 4K@60fps AV1 decoder; support 8K@30fps H.264 and H.265 encoder, high-quality JPEG encoder / decoder, special image pre-processor and post-processor.

[0038] The right extension module refers to the extension part located on the right side of the main control module, used to increase the function or performance of the system. The right extension module can output data and receive commands from the edge intelligent controller. The right extension module transmits the data processed by the main control module to the intelligent edge controller.

[0039] The right extension module includes a power input and a right extension interface. The power input provides power supply for the edge intelligent controller artificial intelligence extension module. The right extension interface is used to connect other modules or devices to realize further functional extension, for example, connection with the edge intelligent controller. In some embodiments, the right extension interface uses RS485 interface. The right extension module can include an RS-485 transceiver chip, peripheral circuits (such as terminal resistance, protection circuit, etc.).

[0040] Taking the edge intelligent controller artificial intelligence extension module as an example, the data is transmitted to the acquisition module through different interfaces provided by the acquisition module. The acquisition module transmits the data to the main control module. The main control module processes and analyzes the data. According to the processing result, the main control module generates corresponding instructions, which can be used to control external devices or transmitted to other devices through the right extension module. The right extension module communicates with the intelligent edge controller through the right extension interface to realize the extension of functions.

[0041] Furthermore, the AI ​​expansion module for the edge intelligent controller further simplifies or optimizes the data processed by the main control module to ensure that data transmitted to the edge intelligent controller is more concise and efficient. This reduces data volume and avoids the transmission of complex or redundant data. This improves transmission efficiency and ensures that only necessary information is transmitted. Key information is retained to ensure that even after data simplification, it still meets the needs of the edge intelligent controller.

[0042] That is to say, the edge intelligent controller artificial intelligence expansion module can perform one or more of data preprocessing, data encoding, data filtering, data summary, data encryption and data transmission on the data processed by the main control module.

[0043] Data preprocessing includes filtering and aggregation, filtering out key information from the data processed by the main control module. For example, if the original data contains a large amount of metadata, only the core data related to the specific business logic can be retained. Multiple related data points are combined into a comprehensive value, such as the average or maximum value, to reduce the amount of data. Data encoding is to reduce the size of the data using data compression algorithms, such as Huffman coding, LZ77, and other compression algorithms. Data filtering can remove duplicate or irrelevant data items, retaining only data that is useful for decision-making. It is also possible to transmit only data that exceeds or falls below a specific range based on preset thresholds, ignoring data within the normal range.

[0044] Data summarization involves creating summary information, such as statistical summaries and feature vectors, to summarize the key characteristics of the data. Dimensionality reduction techniques (such as PCA and t-SNE) can also be used to reduce the data dimension while retaining key features. To ensure data security, the simplified data can be encrypted.

[0045] In an industrial monitoring system, the main control module has completed basic processing of sensor data (for example, anomaly detection) and needs to transmit these processing results to the edge intelligent controller for further decision-making. For example, the acquisition module collects sensor data, the main control module processes the data and generates processing results, and the right expansion module further filters key information from the processing results, aggregates the data, and transmits it to the edge intelligent controller.

[0046] It can be understood that the edge intelligent controller artificial intelligence extension module provided in this embodiment can not only be used in conjunction with the edge intelligent controller, but can also be used alone. The application scope of the edge intelligent controller artificial intelligence extension module is not limited to intelligent manufacturing, building safety, rail transit, smart medical care, water conservancy and hydropower, heating pipelines, integrated pipeline corridors, oil and gas transmission and other fields.

[0047] In some embodiments, the edge intelligent controller artificial intelligence expansion module further comprises a power module connected with the main control module, and the power module comprises a DC-DC converter connected with a power input, which converts an input DC voltage into a working voltage for the main control module.

[0048] The power module is used to provide stable power supply to the entire edge intelligent controller artificial intelligence expansion module. The DC-DC converter is used to convert the input DC voltage into a required stable working voltage.

[0049] An external power source (such as a battery or an adapter) accesses the power module through the power input interface, and the DC-DC converter in the power module converts the input DC voltage into a working voltage required by the main control module and other components. The converted stable voltage is provided to the main control module and other modules requiring power (such as the acquisition module and the right expansion module).

[0050] In the present embodiment, the edge intelligent controller artificial intelligence expansion module is powered by 24V DC, and a TPS54561DPRR power module is used to step down the voltage to 12V DC. In some embodiments, the chip model of the power module is MP8765GQ-Z, the 12V voltage is stepped down to 5V voltage by the MP8765GQ-Z power chip, and the 5V voltage is stepped down to 3.3V voltage by the MP2147GD-Z power chip. Among them, the 12V voltage is used to power the RK3588 main control module, the 5V voltage is used to power the USB3.0 and HDMI output modules, and the 3.3V voltage is used to power the Ethernet chip and the indicator light.

[0051] In some embodiments, the edge intelligent controller artificial intelligence expansion module further comprises an indicator light connected with the power input and the power module. The indicator light is a small light-emitting device used to display the system status. The indicator light is connected to the power input and the power module, and is used to display the feedback status of the power-on of the edge intelligent controller artificial intelligence expansion module, so that the user can timely understand the power-on status of the device, which is conducive to the debugging and maintenance of the device. The working status of the device is shown by the constant light of the indicator light.

[0052] In some embodiments, a serial communication interface and a debugging interface are further included, and the main control module is connected with the right expansion module through the serial communication interface and the debugging interface. The serial communication interface is a UART (Universal Asynchronous Receiver / Transmitter), which allows data to be transmitted asynchronously between two devices. In the present embodiment, the UART is used to transmit data between the main control module and the right expansion module.

[0053] During transmission, the main control module converts the data into a serial bit stream and sends it through the UART interface. The right expansion module receives the serial bit stream through the UART interface and converts it back to the original data format for further processing.

[0054] The debug port is a USB interface used for debugging programs. It's a feature provided in software development tools that allows developers to monitor and control program execution while it's running. Through the debug port, developers can step through code, set breakpoints, inspect variable values, modify memory contents, and more, all to identify and resolve program errors. Therefore, the debug port can be used to transmit debugging information and status data from the main control module to external devices (such as computers and debuggers) for real-time monitoring and analysis.

[0055] The present application provides an edge intelligent controller artificial intelligence expansion module, comprising: an acquisition module connected to a main control module, the acquisition module including one or more combinations of an Ethernet interface, a USB interface, and an input interface; the main control module is connected to a right expansion module; the right expansion module is communicatively connected to the edge intelligent controller, and the right expansion module includes a power input and a right expansion interface. The edge intelligent controller artificial intelligence expansion module can provide additional computing units and support parallel processing capabilities, thereby speeding up data processing. In the edge intelligent controller artificial intelligence expansion module, more efficient algorithms can be used or existing algorithms can be optimized to reduce the demand for computing resources and improve computing efficiency. It can also be used in conjunction with an edge intelligent controller to achieve reliable integration.

[0056] Similar parts between the embodiments provided in this application can be referenced to each other. The specific implementation methods provided above are only a few examples under the overall concept of this application and do not constitute a limitation on the scope of protection of this application. For those skilled in the art, any other implementation methods expanded based on the scheme of this application without expending creative work shall fall within the scope of protection of this application.

Claims

1. An artificial intelligence expansion module for an edge intelligent controller, characterized in that: include: The acquisition module is connected to the main control module, and the acquisition module includes one or more combinations of Ethernet interface, USB interface, and input interface; Main control module, connected to the right expansion module; The right expansion module is communicatively connected to the edge intelligent controller, and the right expansion module includes a power input and a right expansion interface.

2. The edge intelligent controller artificial intelligence expansion module according to claim 1, characterized in that: Also includes: A power supply module is connected to the main control module, and the power supply module includes a DC-DC converter. The DC-DC converter is connected to a power input and converts the input voltage into an operating voltage of the main control module.

3. The edge intelligent controller artificial intelligence expansion module according to claim 2, characterized in that: It also includes an indicator light connected to the power input and the power module.

4. The edge intelligent controller artificial intelligence expansion module according to claim 2, characterized in that: The chip model of the power module is MP8765GQ-Z.

5. The edge intelligent controller artificial intelligence expansion module according to claim 1, characterized in that: The input interface is an HDMI input interface; Also includes: The output interface is connected to the main control module, and the output interface is an HDMI output interface.

6. The edge intelligent controller artificial intelligence expansion module according to claim 1, characterized in that: It also includes a serial communication interface and a debugging interface; The main control module is connected to the debugging interface and the right expansion module through the serial communication interface.

7. The edge intelligent controller artificial intelligence expansion module according to claim 1, characterized in that: The chip model of the main control module is RK3588.

8. The edge intelligent controller artificial intelligence expansion module according to claim 1, characterized in that: The chip model of the Ethernet interface is RTL8211FSI-CG.

9. The edge intelligent controller artificial intelligence expansion module according to claim 1, characterized in that: The right extension interface uses an RS485 interface.

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