Engineering construction scene-oriented sensing internet-of-things teaching device and method

Abstract

The invention discloses a sensing internet-of-things teaching device and method for an engineering construction scene, and the device comprises a model module, a processing module and a virtual module which are in communication connection in sequence, and the model module comprises a sensor which is used for forming a foundation pit excavation entity model main body and is used for obtaining physical parameters; the foundation pit excavation solid model body comprises a frame used for supporting the whole solid model, row piles fixed in the frame, supports detachably installed on the row piles, and a driving device used for driving the row piles and the supports to deform. The processing module comprises a single-chip microcomputer used for receiving sensor signals and sending signals to the driving device based on sensor data, a signal conversion module used for signal conversion and a communication module. And the virtual module comprises a virtual simulation platform for reflecting the state of the model main body in real time. Students can combine learned theoretical knowledge with actual engineering operation, the understanding and manipulative ability is enhanced, and compared with actual construction operation, the safety of practical training is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent training teaching, and in particular to a sensing Internet of Things teaching device and method for engineering construction scenarios. Background Art

[0002] Teaching for engineering construction scenarios is of great significance in civil engineering professional education. Whether students have solid engineering practice abilities will directly affect future engineering quality and construction safety. Therefore, in the teaching process, it is necessary to ensure that students can master the core skills of engineering construction, be familiar with the actual construction environment, improve the ability to solve engineering problems, and avoid affecting the quality of talent cultivation due to the disconnection between theory and practice.

[0003] Currently, the teaching methods for engineering construction scenarios mainly rely on classroom lectures, textbook learning, and limited experimental operations. Due to limited teaching resources, students have few opportunities for hands-on practice in actual projects and it is difficult to deeply understand the application of professional knowledge in engineering construction. At the same time, some experimental teaching still remains in the traditional stage of manual data recording and analysis, lacking real-time monitoring and intelligent analysis means, resulting in limited teaching effects and difficulty in meeting the cultivation requirements of intelligent and digital talents for modern engineering construction.

[0004] With the rapid development of the Internet of Things and sensing technologies, their applications in the field of intelligent construction have been gradually deepened. However, in the current engineering education system, teaching methods integrating sensing Internet of Things technologies are still in the exploratory stage, lacking highly systematic and practical teaching models, and it is difficult to effectively integrate advanced intelligent construction concepts into the teaching system. Therefore, there is an urgent need for a sensing Internet of Things teaching method and device for engineering construction scenarios to make up for the deficiencies of traditional teaching models and improve students' cognition and application abilities of engineering intelligent technologies. Summary of the Invention

[0005] In order to overcome the above problems existing in the prior art, the present invention proposes a sensing Internet of Things teaching device and method for engineering construction scenarios.

[0006] The technical solution adopted by the present invention to solve its technical problems is: a sensing Internet of Things teaching device for engineering construction scenarios, including a model module, a processing module, and a virtual module that are sequentially communicatively connected. The model module includes a sensor for constituting the main body of the foundation pit excavation entity model and for acquiring physical parameters; The main body of the foundation pit excavation entity model includes a framework for supporting the entire entity model, row piles fixed in the framework, supports detachably installed on the row piles, and a driving device for driving the deformation of the row piles and the supports; The processing module includes a single-chip microcomputer for receiving sensor signals and sending signals to the driving device based on the sensor data, a signal conversion module for signal conversion, and a communication module; The virtual module includes a virtual simulation platform for reflecting the state of the model body in real time.

[0007] For the above-mentioned sensing IoT teaching device for engineering construction scenarios, the sensors include a photosensitive sensor for collecting the light intensity parameters at the installation support of the row piles, and a pressure sensor for collecting the pressure parameters at the installation support of the row piles.

[0008] For the above-mentioned sensing IoT teaching device for engineering construction scenarios, the signal conversion module includes an optical signal conversion module for converting the photosensitive sensor signal into an electrical signal and transmitting it to the single-chip microcomputer, and a pressure signal conversion module for converting the pressure sensor signal into an electrical signal and transmitting it to the single-chip microcomputer.

[0009] For the above-mentioned sensing IoT teaching device for engineering construction scenarios, the virtual simulation platform is used to receive the model body state data transmitted by the processing module, and generate a virtual simulation image of the foundation pit excavation and display relevant data based on this data.

[0010] For the above-mentioned sensing IoT teaching device for engineering construction scenarios, the frame is made of semi-transparent or transparent materials; the row piles can be deformed under the drive of the driving device to simulate the stress conditions of different support structures; the support can be deformed under different pressures to simulate the stability of the foundation pit excavation support.

[0011] A sensing IoT teaching method for engineering construction scenarios, based on the above-mentioned sensing IoT teaching device for engineering construction scenarios, specifically includes the following steps: Step 1: Arrange the teaching device on the ground or workbench, and the teacher explains the common sense of engineering construction scenarios and the operation essentials of the device to the students. Step 2: Divide the students into an operation group and a viewing group. The operation group performs correct operations within the specified time limit, including layered excavation and placing supports within the specified time; the viewing group keeps a safe distance from the operation group. Step 3: The teaching device makes mechanical feedback and virtual feedback based on the operations of the operation group, and automatically records the sensor inputs and the operating parameters of the foundation pit excavation physical model. After the operation of the teaching device is completed, the virtual simulation platform automatically scores according to the sensor data and the model operating parameters.

[0012] The above-mentioned teaching method of sensing Internet of Things for engineering construction scenarios. In step 3, the mechanical feedback and virtual feedback based on the operations of the operation group are specifically as follows: The photosensitive sensor collects data. When the light is dim, it triggers a countdown. If the pressure sensor detects pressure within the specified time, the driving device rotates slightly to simulate the slight deformation of the row piles after the support is correctly installed. If the pressure sensor does not detect pressure within the specified time, the driving device rotates greatly to simulate the damage caused by the incorrect installation of the support. The virtual simulation platform displays the state of the teaching device in real time according to the sensor signals and feeds back the images corresponding to the engineering construction scenarios.

[0013] The beneficial effects of the present invention are as follows: Through sensors and Internet of Things technology, the present invention can simulate the situation of engineering construction scenarios in real time, providing users with a near-real experience. Compared with actual construction operations, it avoids the risks of trainees' practical training in dangerous environments and improves the safety of practical training. The sensors collect key data in real time and transmit it to the monitoring platform through Internet of Things technology to achieve real-time monitoring. The complex monitoring data is presented through visualization tools, such as virtual simulation images, to help trainees intuitively understand the dynamic changes of foundation pit excavation. Through the practical training platform, trainees can combine the theoretical knowledge they have learned with actual engineering operations, enhancing their understanding and practical ability. It supports different types of foundation pit excavation scenarios, and trainees can experience various complex working conditions. The platform can adjust the difficulty and parameters according to the needs of different trainees to achieve targeted training. The practical training simulation reduces the resource consumption of actual construction, thus greatly reducing the teaching and experimental costs. Incorporating intelligent teaching methods into the teaching of civil engineering majors promotes the transformation of the industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic diagram of the framework of the teaching device of the present invention; Figure 2 It is a schematic diagram of the module of the teaching device of the present invention; Figure 3 It is a flowchart of the teaching method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be described in detail below in conjunction with the drawings and specific embodiments.

[0016] As Figure 1-2As shown in the figure, this embodiment discloses a sensing IoT teaching device for engineering construction scenarios, which includes a model module, a processing module, and a virtual module that are sequentially communicatively connected. The model module includes a sensor for constructing the main body of the foundation pit excavation entity model and for obtaining physical parameters. The main body of the foundation pit excavation entity model includes a frame for supporting the entire entity model, row piles fixed in the frame, supports detachably installed on the row piles, and a driving device for driving the deformation of the row piles and the supports. The processing module includes a single-chip microcomputer for receiving sensor signals and sending signals to the driving device based on the sensor data, a signal conversion module for signal conversion, and a communication module. The virtual module includes a virtual simulation platform for reflecting the state of the model main body in real time.

[0017] The signal conversion module includes an optical signal conversion module for converting the photosensitive sensor signal into an electrical signal and transmitting it to the single-chip microcomputer, and a pressure signal conversion module for converting the pressure sensor signal into an electrical signal and transmitting it to the single-chip microcomputer. The virtual simulation platform is used to receive the model main body state data transmitted by the processing module and generate a virtual simulation image of the foundation pit excavation and related data display based on this data.

[0018] In this embodiment, the sensor includes a photosensitive sensor for collecting the light intensity parameters at the support installation position on the row pile and a pressure sensor for collecting the pressure parameters at the support placement position on the row pile. The data pin of the photosensitive sensor is connected to 1 ADC pin of the RaspberryPi. The analog signal of the photosensitive sensor is read using the signal conversion module, and the normalized value between 0 and 1 is returned using.value. The data pin of the pressure sensor is connected to 1 ADC pin of the RaspberryPi, and the digital signal is used to detect whether there is pressure.

[0019] In this embodiment, the driving device is a stepper motor. The stepper motor driving module is used, and the data pins are respectively connected to 4 GPIO pins of the RaspberryPi. The GPIO pins are controlled using the RPi.GPIO library. The utime is used to handle the delay; the ADC module for reading the analog sensor is defined with pins and parameters, and the light threshold is between 0 and 1; the GPIO mode is initialized, and the stepping sequence of the stepper motor is defined; a function is defined to control the stepper motor; the photosensitive sensor is initialized, and the photosensitive value is read; wait for a few seconds, detect whether there is pressure, and add a slight delay to avoid occupying the CPU; control the stepper motor according to the pressure situation, and add a delay to avoid frequent detection.

[0020] In this embodiment, the communication module is a Zigbee module. The virtual simulation platform communicates with the Zigbee module through the computer - side code. serial is used to communicate with the Zigbee module, and vlc is used to play virtual simulation images; configure the serial port parameters of the Zigbee module; modify the serial port of the computer connected to the Zigbee and the baud rate of the Zigbee; initialize the serial port; create a VLC player to play the video; the main program receives Zigbee data and controls video playback. RaspberryPi is connected to the Zigbee module through the serial port; initialize the Zigbee serial port and send status information; ensure that the Zigbee module is paired, use the same baud rate, and the serial port is correct; install the vlc library: python - vlc.

[0021] In this embodiment, in order to facilitate observing the internal situation of the device, the frame is made of semi - transparent or transparent materials; the row piles can be deformed under the drive of the driving device to simulate the stress conditions of different supporting structures; the support can be deformed under different pressures to simulate the stability of the foundation pit excavation support.

[0022] Based on the above teaching device, this embodiment also discloses a teaching method, as Figure 3 shown. The specific steps are as follows: Step 1, place the teaching device on the ground or workbench, add fillers to the device. The fillers can be sawdust, wood chips and other easy - to - clean, lightweight and opaque materials. The teacher explains the common sense of the engineering construction scenario and the operation essentials of the device to the students.

[0023] Step 2, divide the students into an operation group and a viewing group. The operation group stands beside the teaching device and can see the display screen showing the simulation interface of the virtual simulation platform. The operation group performs correct operations within the specified time limit, including layered excavation and placing the support within the specified time; the viewing group keeps a safe distance from the operation group.

[0024] Step 3, the teaching device makes mechanical feedback and virtual feedback based on the operations of the operation group, and automatically records the sensor inputs and the operation parameters of the foundation pit excavation physical model. After the operation of the teaching device is completed, the virtual simulation platform automatically scores according to the sensor data and the model operation parameters.

[0025] The specific mechanical feedback and virtual feedback based on the operations of the operation group in Step 3 are as follows: The photosensitive sensor collects data. When the light is dim, it triggers a countdown. If the pressure sensor detects pressure within the specified time, the driving device rotates slightly to simulate the slight deformation of the row piles after the support is correctly installed; if the pressure sensor does not detect pressure within the specified time, the driving device rotates greatly to simulate the damage caused by the incorrect installation of the support; the virtual simulation platform shows the state of the teaching device in real - time according to the sensor signals and feeds back the images corresponding to the engineering construction scenario.

[0026] The above embodiments are only exemplary embodiments of the present invention and are not used to limit the present invention. Those skilled in the art can make various modifications or equivalent replacements to the present invention within the essence and protection scope of the present invention, and such modifications or equivalent replacements should also be regarded as falling within the protection scope of the present invention.

Claims

1. A sensing IoT teaching device for engineering construction scenarios, characterized in that It includes a model module, a processing module, and a virtual module that are communicatively connected in sequence. The model module includes a sensor for constructing the main body of the foundation pit excavation entity model and for obtaining physical parameters. The main body of the foundation pit excavation entity model includes a framework for supporting the entire entity model, row piles fixed within the framework, supports detachably installed on the row piles, and a driving device for driving the deformation of the row piles and the supports. The processing module includes a single-chip microcomputer for receiving sensor signals and sending signals to the driving device based on the sensor data, a signal conversion module for signal conversion, and a communication module. The virtual module includes a virtual simulation platform for real-time reflecting the state of the model main body.

2. The sensing IoT teaching device for engineering construction scenarios according to claim 1, wherein The sensor includes a photosensitive sensor for collecting the light intensity parameter at the position where the support is installed on the row pile and a pressure sensor for collecting the pressure parameter at the position where the support is placed on the row pile.

3. The sensing IoT teaching device for engineering construction scenarios according to claim 2, characterized in that, The signal conversion module includes an optical signal conversion module for converting the photosensitive sensor signal into an electrical signal and transmitting it to the single-chip microcomputer, and a pressure signal conversion module for converting the pressure sensor signal into an electrical signal and transmitting it to the single-chip microcomputer.

4. A sensing Internet of Things teaching device for engineering construction scenarios according to claim 1, characterized in that, The virtual simulation platform is used to receive the state data of the model main body transmitted by the processing module and generate virtual simulation images and related data displays of the foundation pit excavation based on this data.

5. A sensing Internet of Things teaching device for engineering construction scenarios according to claim 1, characterized in that, The framework is made of semi-transparent or transparent materials; the row piles can be deformed under the drive of the driving device to simulate the stress conditions of different support structures; the supports can be deformed under different pressures to simulate the stability of the foundation pit excavation support.

6. A sensing Internet of Things teaching method for engineering construction scenarios, characterized in that A sensing IoT teaching device for engineering construction scenarios according to any one of claims 1-5 specifically includes the following steps: Step 1, arrange the teaching device on the ground or workbench, and the teacher explains the common sense of engineering construction scenarios and the operation essentials of the device to the students. Step 2, divide the students into an operation group and a viewing group. The operation group performs correct operations within the specified time limit, including layered excavation and placing supports within the specified time; the viewing group keeps a safe distance from the operation group. Step 3, the teaching device makes mechanical feedback and virtual feedback based on the operations of the operation group, and automatically records the sensor inputs and the operating parameters of the foundation pit excavation entity model. The virtual simulation platform automatically scores according to the sensor data and the model operating parameters after the operation of the teaching device is completed.

7. A sensing Internet of Things teaching method for engineering construction scenarios according to claim 6, characterized in that The specific mechanical feedback and virtual feedback based on the operations of the operation group in Step 3 are as follows: the photosensitive sensor collects data, and when the light is dim, a countdown is triggered. If the pressure sensor detects pressure within the specified time, the driving device rotates slightly to simulate the slight deformation of the row pile after the support is correctly installed. If the pressure sensor does not detect pressure within the specified time, the driving device rotates greatly to simulate the damage caused by the incorrect installation of the support; the virtual simulation platform displays the state of the teaching device in real time according to the sensor signal and feeds back the corresponding images of the engineering construction scenario.

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