Multi-articraft integrated vehicle sensing device and implementing device
1 Multi-Technology Application in Vehicle Training and Actuator Training System 11 Application of Wireless Transmission Technology in Vehicle Training and Actuator Training System Traditional sensors and actuators have multiple sets of the same sensor development box in the lab. Teachers generally use the teacher to demonstrate students' repeated teaching modes in the classroom. This teaching method requires a lot of equipment, and the teaching effect is not obvious. Teaching is more focused on the verification of the principle than its application. In the classroom, students cannot understand the principles and applications of sensors based on their own learning situations. Sensors and actuator training systems that use wireless transmission technology will effectively prevent this from happening, as shown. There are different vehicle sensors and actuator modules on the training system. These modules can carry out “distance learning†(ie, “remote assistanceâ€), “circuit connectionâ€, “sensor (or actuator) detection†and “capacityâ€. Expand "and other tasks. When students study the “Vehicle Sensors and Actuators†course, teachers follow the “action-oriented†teaching method and arrange the task of the class after grouping students. Because the sensors and actuator elements on the vehicle sensor and actuator training systems are all different, the tasks assigned to each group are different: For example, a group performs “structure recognition and detection of the throttle position sensorâ€. , A group of "hotline air flow meter structure recognition and testing" and so on. Each team conducts an analysis based on the tasks it receives. The “Remote Assistance†function in the training system uses the wireless transceiver module NT-T01A. After discussion, the students in each group still cannot understand the principle of the sensor or the principle of the actuator, and can press the remote assistance on the sensor or actuator module. †button, at this time the wireless transceiver module will send the help signal through the antenna to the teacher computer's data acquisition card PCI - 6014, the acquisition card after collecting the help signal, through the serial port to the virtual instrument La bVIEW815 software to send signals. At this point, the teacher's machine will pass through the projector to display the working principle, application and maintenance method of the corresponding sensor or actuator obtained by the help group. After understanding the principles of sensors or actuators, students in each group need to complete the work tasks assigned by the teachers, that is, complete the “self-learning†part of the modules they get. The so-called "self-learning" refers to the understanding of the sensor or actuator principle, based on the circuit diagram of the module panel shown, the correct completion of the "circuit connection" and "component detection" task, and choose the appropriate actuator The module, correctly connecting the sensor module and the actuator module, achieves the goal of “capability expansionâ€. 12 Application of Robot Technology in Vehicle Training and Actuator Training System At present, robots as auxiliary teaching methods at home and abroad are still rare. However, as a special tool to assist teaching, robots have unparalleled advantages. In integrated physical education, teachers often need to walk around in the classroom in order to understand the structural principles of a sensor. This not only wastes a lot of classroom teaching time, but because most sensors or actuators are too small, some students cannot see it. Clear phenomena also occur from time to time. Robot sensor-based actuator and actuator training systems can solve these problems. Shown is the schematic diagram of the robot applied to the vehicle sensor and actuator training system. The mechanical body of the robot is a box made of aluminum. There are two high-power motors on the chassis. The wireless transceiver module installed on the motor communicates with the data acquisition card wirelessly. As shown in the figure, the teacher can remotely control the movement of the motor within 2 km by using the “robot remote control software†programmed with Lab2 VIEW to realize the movements of the robot such as forward, backward, turn, and stop. Above the robot is installed a wireless camera. Like the robot chassis motor, the camera communicates with the data acquisition card through the wireless transceiver module. The teacher can control the camera to achieve three-dimensional six-degrees of freedom motion through the robot remote control software. At the same time, the “focus†button on the software can be remotely controlled by the robot to achieve video and image amplification. The video signal received by the teacher's machine will be clearly placed on the big screen after being filtered by the LabVIEW software, which solves the teaching problems that the teacher frequently walks around and students cannot see clearly. 13 Application of Virtual Instrument Technology in Vehicle Training and Actuator Training System Virtual instrument technology is widely used in industrial control field in recent years. Due to its powerful software and friendly programming interface, it is welcomed by programmers. Vehicle sensor and actuator training system applies virtual instrument technology to it, and uses high-speed disk streaming technology, dynamic link library technology, etc. to process complex video signals transmitted from the data acquisition card, making the projected video clear. ,soft. The designed vehicle sensor and actuator training system software is powerful and easy to learn. 14 Signal Conditioning Technology Applied in Vehicle Sensor and Actuator Training System In the wireless camera signal transmission process, due to the complexity of the data acquisition site environment, various interference factors may cause very large interference to the data collection. In order to reduce the impact of high-frequency signals on the video acquisition data, low-pass filtering is required. Butterworth filter processing and Chebyshev filter processing is a good choice, Butterworth filter from the amplitude-frequency characteristics proposed approximation requirements, regardless of the phase-frequency characteristics, with the largest flat amplitude characteristics, the amplitude-frequency response expression is: H(ω) | = 1 1 + (ω/ωn)2 n(1) Chebyshev filtering is also proposed in terms of amplitude-frequency characteristics. Its amplitude response expression is: | H(ω) | = 1 1 +θ2 T 2 n(ω/ωn) (2) where ω―-filter frequency; ωn―-cutoff frequency; θ―-band ripple coefficient; Tn--Chebyshev polynomial. Compared with the Butterworth filter, the Chebyshev filter has fluctuations in the passband, but attenuation is even more pronounced after the stopband is entered for the same value of n, which is closer to the ideal case. Therefore, in order to make the video effect more fused, choose Chebyshev low-pass filter processing. 2 test analysis After completing the development of the vehicle sensor and actuator training system, in order to verify the control function of the training system, an orthogonal regression rotation test analysis was performed. The training system control effect is measured by the percentage system. Select the robot chassis motor from the teacher's distance L 1, the training bench distance from the teacher's distance L 2, teacher distance screen distance L 3, the wireless camera distance from the teacher's distance L 4, the wireless camera environment L 5 and other five factors experimenting. 1 experimental factor level and coding table The electromagnetic interference is small. Considering that the influence of five factors on the control function of the training system is not completely linear, the test selects the five-factor quadratic orthogonal regression rotation test method. The regression equation is generally in the form: Y=b 0 +∑. In the test of pj = 1 bj + ∑pj , dimensional reduction analysis was used to fix the level of four factors and the relationship between another factor and control function was obtained. The control effect obtained after the test varies with each factor as shown in FIG. 5 The control effect varies with each factor. From the graph, it can be seen that no matter how the various factors change, the control effect can be maintained at more than 60 points. Environmental factors have the greatest influence on the control effect, and the influence curve is approximately linear. Therefore, when using a training system, try to avoid excessive interference. In addition, the distance between the robot chassis motor and the teacher’s engine is also one of the factors that affect the control effect. To ensure stable and reliable control, the distance between the robot chassis and the teacher’s machine should be within 1 000 m during the use of the training system. 3 Conclusion The design process of the vehicle sensor and actuator training system has always centered on the advanced teaching concept of “action-oriented teachingâ€. It will design the students’ practical ability and innovation ability in the detection and application of sensors and actuators as the design goals. By integrating various advanced technologies such as wireless transmission technology, robot technology, virtual instrument technology, and signal conditioning technology, the training system has complete functions and stable performance. Through experimental verification, the training system has a good control effect.
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