Industrial internet-of-things sensing experiment practical training teaching platform

Abstract

The utility model provides an industrial internet of things sensing experiment training teaching platform, which belongs to teaching equipment, and comprises a workbench and a P.D.A. Design tool, the P.D.A. Design tool comprises a sensor bottom plate P, a sensor bottom plate D, a development tool and a power panel, the development tool is a carrier of the sensor bottom plate P, and the power panel is connected with the development tool. The sensor bottom plate P and the sensor bottom plate D can be provided with an MCU template and a sensor, and power is supplied through the power panel. According to the utility model, the MEMS sensor technology is adopted, various sensors are designed and developed, the system is suitable for daily experimental training, and students can be helped to learn experimental development of industrial sensors, clear development processes and verify development results. According to the utility model, comprehensive engineering capability training such as support networking technology and application, modern sensor technology, electronic circuit development, embedded development and the like is realized.

Description

Technical Field

[0001] The utility model relates to an Internet of Things talent training and teaching system test bench, in particular to an industrial Internet of Things sensing experiment training teaching platform. Background Art

[0002] As the Internet of Things technology continues to become more popular in life and production, the demand for Internet of Things professionals is also increasing. Currently, most higher vocational colleges and general colleges and universities have set up Internet of Things majors. In terms of professional practice and course experiment settings, the following problems generally exist:

[0003] (1) One set of experimental equipment for one course: The experimental box of a course often serves one course. Different courses use different experimental equipment, and the laboratories and equipment are repeatedly built, resulting in a waste of resources;

[0004] (2) The course experiments are disconnected and not systematically designed: Students have to familiarize themselves with new experimental equipment for each course, which is disconnected and makes it impossible to conduct systematic course experiments and practical training;

[0005] (3) There are too many cognitive experiments, but they are not deep enough: Since most sensor nodes are finished products, experiments are often cognitive experiments. After learning, when changing the scene or modifying the sensor chip, they are often helpless, and the experimental depth and transfer ability are not enough.

[0006] There are a large number of IoT experiment boxes, development boards, etc. on sale in the market. Usually, the IoT experiments supporting these experiment boxes and development boards lack systematic design and are not organized. Secondly, the experiments are simple and cannot reflect the sensor principles, control, production and use, and can draw inferences from one example. Therefore, they cannot support the training of IoT research, professional and application-oriented talents. Utility Model Content

[0007] The utility model provides an industrial IoT sensor experiment training teaching platform, which solves the practical problems of IoT experiments in teaching equipment. The technical solution is as follows:

[0008] An industrial IoT sensing experiment training teaching platform comprises a workbench and a PDA design tooling, wherein the PDA design tooling comprises a sensor base plate P board, a sensor base plate D board, a development tooling and a power board, wherein the development tooling is a carrier of the sensor base plate P board, and both the sensor base plate P board and the sensor base plate D board can be installed with an MCU template and a sensor, and are powered by a power board.

[0009] The workbench includes a table top, a main bracket, an auxiliary bracket, and a base. The rear end of the table top is fixedly connected to the main bracket, and the front end is fixedly connected to the auxiliary bracket. The lower parts of the main bracket and the auxiliary bracket are fixed to the base. The main bracket is provided with a circuit board placement frame for placing a variety of sensor base plates P to be used.

[0010] An industrial computer, a display screen and a desk lamp can also be installed on the workbench. The industrial computer is connected to the display screen and is connected to the sensor base plate P board and the sensor base plate D board through a gateway, or is connected to the sensor base plate P board and the sensor base plate D board through a USB adapter board.

[0011] The sensor base plate P-board is used to carry the MCU template and the sensor, and is connected to the development tooling board of the development tooling.

[0012] The upper surface of the development tooling board is provided with a banana socket for connecting the power board and the sensor base plate P board.

[0013] The sensor base plate D comprises a sensor base plate and a base, which is used to place the sensor and the MCU template, and is fixed to the workbench by bolts through the round holes on both sides.

[0014] The power board can be selected from 12V, 5V, 4.2V, and 3.3V according to different voltage requirements. After selecting the appropriate voltage, press the corresponding button switch at the bottom of the power board.

[0015] The MCU template adopts EspressifESP32 40nm process MCU, which integrates low-power Bluetooth and Wi-Fi.

[0016] The sensor base plate P and the sensor base plate D are both provided with a communication module, which includes an NFC module, an IO module, a serial port module, and an RS485 interface module, and is used to transmit the data collected by the sensor to the industrial computer through the gateway.

[0017] The sensor has a size of 10mm*10mm or other sizes. As a sensing element module, there are 86 designs for detecting environmental conditions, positions, and motion conditions.

[0018] The industrial Internet of Things sensor experimental training teaching platform is aimed at the Internet of Things, automation, and measurement and control majors. For the courses of "Sensor Principles and Applications", "Internet of Things Networking Technology", "Internet of Things System Comprehensive Practice" and "Wireless Sensor Network", it realizes the platform layout for teaching. The experimental training teaching introduces the PDA experimental teaching concept, and serves multiple cross-disciplinary experimental training with sensors as the core. It can support the Internet of Things, information technology innovation, smart cities, etc. The structure can be separated or combined, and the structures of each training platform can be interlocked. It is completely open source, provides schematics and routines, and has a variety of sensors. It realizes the adaptation experiment and training teaching of the minimized application scenario of laser radar, forming a complete teaching monomer product and experimental training product that can be mass-produced.

[0019] The industrial IoT sensor experiment training teaching platform is a PDA-based IoT teaching experiment platform, a set of teaching experiment platforms, and a full-process talent training; it is specially designed for teaching experiments and training, and shows the real IoT application development from principle (P), design (D) to application (A). Compared with the existing IoT professional experimental platforms and IoT development boards on the market, this product has significant advantages.

[0020] Among them, Principle.Develop.Application.—PDA products are centered on improving teaching quality, based on improving teaching level, based on experimental training teaching guidance documents, based on experimental training hardware equipment, and based on software teaching systems. From sensor design principles to sensor product development to sensor scenario applications, they provide all-round services for the teaching and construction of professional talents in the field of the Internet of Things.

[0021] PDA products and solutions use experimental training hardware equipment as a carrier, experimental training teaching documents as a support, and software teaching systems as a foundation. They run through design principles to sensor product development and scenario applications, support multiple integrated theory and practice professional courses, and provide all-round services for professional talent training in the Internet of Things, helping to improve the teaching quality and high-quality development of colleges and universities. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a structural diagram of the industrial IoT sensor experimental training teaching platform;

[0023] Figure 2 is a schematic diagram of the sensor base plate P plate;

[0024] Figure 3a is a schematic diagram of the development tooling;

[0025] Figure 3b is a three-dimensional diagram of the development tooling;

[0026] Figure 4a is a schematic diagram of the sensor base plate D;

[0027] Figure 4b is a three-dimensional diagram of the sensor base plate D;

[0028] Figure 5a is a schematic diagram of the power board;

[0029] Figure 5b is a three-dimensional diagram of the power board. DETAILED DESCRIPTION

[0030] like Figure 1 As shown, the industrial IoT sensor experiment training teaching platform includes a workbench and a PDA design tool. The PDA design tool includes a sensor base plate P board 6, a sensor base plate D board 7, a development tool 8 and a power board 9. The development tool 8 is a carrier of the sensor base plate P board 6. The sensor base plate P board 6 and the sensor base plate D board 7 can both be installed with MCU templates and sensors, and are powered by the power board 9, wherein the sensor base plate D board 7 can also be connected to sensors of external devices. The utility model uses a PDA-specific combined workbench as a base for experimental operations, and a PDA design tool can be placed on the workbench.

[0031] The workbench includes a table top 1, a main bracket 2, an auxiliary bracket 3, and a base 4. The rear end of the table top 1 is fixedly connected to the main bracket 2, and the front end is fixedly connected to the auxiliary bracket 3. The lower parts of the main bracket 2 and the auxiliary bracket 3 are fixed on the base 4. The main bracket 2 is provided with a circuit board placement frame 5 for placing a variety of sensor base plates P plates 6 to be used. The sensor base plate D plate 7, power board 9, and development tooling 8 can be placed on the table top 1. The size of the main bracket 2 of the workbench is 122cm*165cm, and the size of the table top 1 is 76cm*120cm.

[0032] Furthermore, an industrial computer, a display screen and a desk lamp can be installed on the workbench, and the industrial computer is connected to the display screen, so that the data of the sensor can be viewed and the program of the MCU template can be burned through the industrial computer.

[0033] like Figure 2 As shown, the sensor base plate P plate 6 is used to carry the MCU template and the sensor, and is the key to connecting the sensor and the MCU template. The MCU template and the sensor are snapped onto the sensor base plate P plate 6, and the sensor base plate P plate 6 is placed on the development tooling 8 and connected to the development tooling board in the development tooling 8. Each set of the sensor base plate P plate 6 has a size of 40mm*120mm*8mm; it can be high-density, high-reliability, designable, producible, testable, assembleable, and maintainable.

[0034] like Figure 3a and Figure 3b As shown, the development tool 8 belongs to the development and testing level product, including a development tool board located inside the shell, and a banana socket is provided on the upper surface of the development tool board for connecting the power board 9 and the sensor base plate P board 6. The development tool 8 is used as an experimental basic board and can be placed on a workbench. The size of the front panel of the shell is 20cm*30cm*7cm, and the size of the rear shell of the shell is 15cm*23cm. It has the advantages of high stability, wear resistance, impact resistance, and vibration resistance.

[0035] The development tooling board of the development tooling 8 is the basic baseboard for sensor assembly learning. A circuit schematic is placed on the outside. According to the interface definition, an appropriate interface can be selected to connect to the external experimental equipment through a banana socket; the interface marked with PDABLOCK on the upper part is used to connect to the sensor base plate P board. The circuit pin definition of the development tooling board is:

[0036]

[0037] like Figure 4a and Figure 4b As shown, the sensor base plate D plate 7 includes a sensor base plate and a base (aluminum alloy) for placing the sensor and MCU template. It does not need to be supported by the development tool 8, and can be fixed on the workbench by bolts through the round holes on both sides to test the assembled sensor.

[0038] like Figure 5a and Figure 5b As shown, the power board 9 includes a housing, a push button switch (self-locking) with an LED light, a banana socket, and a power adapter. The housing can provide banana sockets of various voltages, and the banana sockets are switched on and off by the push button switch.

[0039] The size of the power board 9 is 120mm*350mm*60mm. It is used to power experimental equipment. The external adapter is connected to the interface on the right side of the power board. When in use, the power board can be fixed to the bracket of the workbench or directly placed on the table with bolts; 12V, 5V, 4.2V, and 3.3V can be selected according to different voltage requirements; after selecting the appropriate voltage, insert the banana socket into the banana seat, and connect the other end of the banana socket to the power interface of the experimental equipment. When in use, press the button switch at the bottom of the power board. When the indicator light of the button switch is on, the power board is working normally.

[0040] Power board interface description:

[0041] Red 1. 12VDC Red 2. 5.0VDC Red 3. 4.2VDC Red 4. 3.3VDC Black 2.GND Black 2.GND Black 3.GND Black 4.GND

[0042] The sensor and the MCU template share a base plate, which may be a sensor base plate D plate or a sensor base plate P plate. The MCU template is placed at the MCU mark, and the sensor is placed according to its own characteristics.

[0043] Each of the MCU templates is equipped with a dual-core 32-bit MCU, 2.4GHz dual-mode Wi-Fi and Bluetooth chips. The dual-core 32-bit MCU uses Espressif ESP3240nm process MCU, with a main frequency of up to 230MHz, a computing power of up to 600DMIPS, and supports multiple communication protocols and multiple adjustment management modes. The MCU template module integrates low-power Bluetooth and Wi-Fi, and has a wide range of uses. Its Wi-Fi supports a wide range of communication connections and also supports direct connection to the Internet through a router.

[0044] The sensor size is 10mm*10mm or other sizes. As a sensing element module, there are 86 designs with high accuracy, strong stability and high sensitivity. The sensor is a series of sensing elements used to detect environmental conditions (temperature, humidity, etc.), position, motion conditions (global navigation satellite system positioning (GNSS), accelerometer, etc.). After assembling the sensor to the sensor base plate D board 7 or the sensor base plate P board 6, the data collected by the sensor can be transmitted to the industrial computer through the connection with the external system through the pin definition. The following is the information of the sensor:

[0045]

[0046]

[0047]

[0048] The sensor base plate P board 6 and the sensor base plate D board 7 are both provided with a communication module, and the communication module includes an NFC module, an IO module, a serial port module, and an RS485 interface module. The communication module is assembled on the base plate to transmit the data collected by the sensor to the industrial computer through the gateway. When the sensor base plate P board 6 and the sensor base plate D board 7 are not connected to the power board 9, the industrial computer can also connect the port of the sensor base plate D board or the sensor base plate P board through the power data line USB interface to achieve direct connection with the industrial computer. At this time, the communication mode is changed to USB communication, that is, data can be uploaded without a gateway to monitor the sensor data, and experiments can be supported on the industrial computer. The specifications of the industrial computer and the display are: display screen size 24 inches; display screen resolution: 1920*1080; graphics card: 4GB; memory: 16GB; hard disk: 1T SSD.

[0049] The following describes the use of the utility model through specific embodiments to facilitate a more detailed review and analysis of the utility model. The embodiments described therein are part of the embodiments of this application, not all of them. Taking the sensor base plate P board as an example, the operation method of the industrial IoT sensor experiment training teaching platform includes:

[0050] Step 1: Build the experimental platform and place all experimental equipment.

[0051] Step 2: Connect and debug the corresponding experimental equipment of the teaching system, check the experimental equipment to make sure the line connection is normal, connect the display screen, industrial computer, and power board power, turn on the display screen and industrial computer, and connect the power board to the development tooling through banana plugs;

[0052] Step 3: Place the sensor to be tested on the sensor base plate P-board and fix it. Place the MCU template on the sensor base plate P-board and fix it. Connect the gateway mainboard to the industrial computer through the network cable and connect the gateway power supply. Check the gateway mainboard indicator to confirm that the gateway connection is normal.

[0053] Step 4: Build the PDA experimental training software environment, ensure that the gateway works properly, establish a connection with the gateway software address, burn the Arduino code to the MCU, choose to install the code library, and choose to install the port burning program;

[0054] Step 5. Click the PDA experimental training software system icon to open the software. Enter ICP: 192.168.1.1, enter port: 34739, click TCP listening, click the power board button to power the sensor base plate P board, and check the software to view the sensor collection data.

[0055] The following experiments on resistive sensors, thermoelectric sensors, and photoelectric sensors are selected as cases for illustration.

[0056] Experimental case 1, the resistive sensor experimental operation steps include:

[0057] Step 1. Snap the resistive sensor and USB adapter board onto the sensor base plate P-plate.

[0058] Step 2. Use two connecting wires to connect 3.3V voltage and ground respectively to power the sensor base plate P board. Plug one end of the USB cable into the USB adapter board and the other end into the PC. When burning the program, turn the switch to the burning end, and when the burning is finished, turn it to the working end and check the serial monitor;

[0059] Step 3. Burn the program. In the Arduino IDE, select the WisBlock Core RAK11200 board. Open the flex.ino file. Double-click the link in the file to install the required code library in the sample code. After the program is compiled and uploaded successfully, open the serial monitor of the Arduino IDE and view the sensor reading log to obtain the sensor reading. Observe the change in data by changing the degree of bending of the sensor.

[0060] Step 4: Calibrate the variables. Bend the sensor multiple times to make the bending degrees 0° and 90°. Record the impedance (RESISTANCE) at this time as STRAIGHT_RESISTANCE and BEND_RESISTANC respectively. After calibrating the two horizontal resistance variable values ​​of STRAIGHT_RESISTANCE and BEND_RESISTANCE, re-run the test program.

[0061] Step 5. Collect the voltage and impedance values ​​of the bending sensor at 25°, 35°, 45°, 55°, and 65° according to the following experimental steps. Check the results through the serial port monitor: When the bending degree changes, the resistance will change accordingly. The larger the resistance, the greater the bending degree.

[0062] Experimental case 2, the experimental operation steps of the thermoelectric sensor include:

[0063] Step 1. Snap the thermoelectric sensor and USB adapter board onto the sensor base plate P-plate.

[0064] Step 2. Use two connecting wires to connect 3.3V voltage and ground to power the board. Plug one end of the USB cable into the adapter board and the other end into the PC. When burning the program, turn the switch to the burning end, and turn it to the working end after burning to check the serial monitor.

[0065] Step 3, burn the program. After connecting the hardware, select the WisBlock CoreRAK11200 board in the Arduino IDE. After opening the sample code, double-click the link in the figure to install the code library required in the sample code. After completion, select the correct serial port and click the upload icon to upload the code. Open the monitoring window to view the temperature and humidity currently measured.

[0066] Step 4. Cover your hand, blow, breathe out, and fan the sensor. Roughly record the temperature and humidity before and after the actions, and get the change values. Fill in the table below to feel the sensitivity of the temperature and humidity sensor.

[0067] Experimental case 3, the experimental operation steps of the photoelectric sensor include:

[0068] Step 1. Snap the thermoelectric sensor and USB adapter board onto the sensor base plate P-plate.

[0069] Step 2. Use two connecting wires to connect 3.3V voltage and ground to power the board. Plug one end of the USB cable into the adapter board and the other end into the PC. When burning the program, turn the switch to the burning end, and turn it to the working end after burning to check the serial monitor.

[0070] Step 3, burn the program: After connecting the hardware, in the Arduino IDE, select the WisBlock CoreRAK11200 board. After opening the sample code, double-click the link in the figure to install the code library required in the sample code. Once completed, select the correct serial port and click the upload icon to upload the code.

[0071] Step 4. After successfully uploading the code, open the serial monitor, expose the sensor to indoor light, read 10 illumination values ​​within one minute, and take the average value to estimate the indoor light intensity.

[0072] Step 5. By changing the set threshold value, the sensor can generate an interrupt signal under different illumination. Now explore the relationship between the threshold and illumination, change the threshold value multiple times and read its real illumination value at the same time, record the data and fit the two, get the relationship between the threshold and illumination and try to explain it, take a screenshot of each result and record it.

[0073] It should be clear that the described embodiments are only part of the embodiments of the utility model, not all of them. Based on the embodiments of the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0074] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention.

Claims

1. An industrial IoT sensor experimental training teaching platform, characterized by: It includes a workbench and a PDA design tool. The PDA design tool includes a sensor base plate P board, a sensor base plate D board, a development tool and a power board. The development tool is a carrier of the sensor base plate P board. Both the sensor base plate P board and the sensor base plate D board can be installed with MCU templates and sensors, and are powered by the power board.

2. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: The workbench includes a table top, a main bracket, an auxiliary bracket, and a base. The rear end of the table top is fixedly connected to the main bracket, and the front end is fixedly connected to the auxiliary bracket. The lower parts of the main bracket and the auxiliary bracket are fixed to the base. The main bracket is provided with a circuit board placement frame for placing a variety of development tooling and sensor base plates P boards to be used.

3. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: An industrial computer, a display screen and a desk lamp can also be installed on the workbench. The industrial computer is connected to the display screen and is connected to the sensor base plate P board and the sensor base plate D board through a gateway, or is connected to the sensor base plate P board and the sensor base plate D board through a USB adapter board.

4. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: The sensor base plate P-board is used to carry the MCU template and the sensor, and is connected to the development tooling board of the development tooling.

5. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: The upper surface of the development tooling board is provided with a banana socket for connecting the power board and the sensor base plate P board.

6. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: The sensor base plate D comprises a sensor base plate and a base, which is used to place the sensor and the MCU template, and is fixed to the workbench by bolts through the round holes on both sides.

7. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: The power board can be selected from 12V, 5V, 4.2V, and 3.3V according to different voltage requirements. After selecting the appropriate voltage, press the corresponding button switch at the bottom of the power board.

8. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: The MCU template uses the Espressif ESP32 40nm process MCU, which integrates low-power Bluetooth and Wi-Fi.

9. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: The sensor base plate P and the sensor base plate D are both provided with a communication module, which includes an NFC module, an IO module, a serial port module, and an RS485 interface module, and is used to transmit the data collected by the sensor to the industrial computer through the gateway.

10. The industrial IoT sensor experiment training teaching platform according to claim 1 is characterized by: The sensor has a size of 10 mm×10 mm.

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