Dygyz-GC Industrial Sensor Application Technology Training Platform

1. Function overview

The device organically combines industrial sensors and industrial models and is suitable for practical tr*ning and teaching of courses such as "Sensor Principles", "Non-Electric Detection Technology", and "Industrial Automation Instrumentation and Control" in various vocational colleges. The device also adds Internet of Things sensors, visual sensors, etc., and completely adopts model design to enable students to more comprehensively grasp the application of various industrial sensors; it closely integrates the latest technologies in sensor and detection technology.

2. Device configuration

(1) Power supply and instrument hanging box

1. AC power supply AC220V, with leakage protector

2. DC regulated power supply: +24V/1A, ±12V/1A, ±5V

3. Digital DC voltmeter: range 0~20V, divided into three levels: 200mV, 2V, 20V, accuracy level 0.5

4. Frequency/tachometer: frequency measurement range 1~9999Hz, speed measurement range 1~9999rpm

(2) Signal processing and interface hanging box

1. Sensor signal conversion circuit

2. Solenoid valve/ motor drive circuit

(3) Transmitter hanging box

1. Charge amplifier

Measuring range: 102pc, 103pc adjustable in two levels, maximum output voltage: 10V/5mA, used with piezoelectric acceleration sensor.

2. Axial displacement transmitter

Measuring range: -4~6mm, current output: 4~20mA, accuracy: ±0.5% (25℃).

3. Pressure instrument

Using 24-bit A/D converter, dual 5-bit high-brightness red LED display, measurement accuracy: ±0.2%FS±1 digit, with RS232 communication, used in conjunction with S-type tension pressure sensor

(4) Material sorting model

1. DC reduction motor, speed: 20rpm/min, power supply DC24V

2. Solenoid valve: two-position five-way

3. Through-beam photoelectric switch sensor: detection distance 5m, normally open type, NPN transistor output.

4. Hall proximity switch sensor, detection distance 10mm, can detect permanent magnets, normally open type, NPN transistor output.

5. Inductive proximity switch sensor: detection distance 4mm, normally open type, NPN transistor output.

6. Capacitive proximity switch sensor, detection distance 2mm, normally open type, NPN transistor output.

7. Color mark sensor: focal length 12.5mm±2mm, red, blue and green light sources, push-button setting to automatically select the appropriate light source.

8. Safety light curt*n sensor: detection distance: 0.3~4m, relay output

(5) Multifunctional rotor model

1. DC motor: speed 3000rpm/min, power 15W, power supply DC24V

2. Photoelectric switch sensor: slot structure, slot width 30mm, output current <300mA.

3. Gear speed sensor: measuring range 0~20kHz, pulse output signal.

4. Eddy current sensor: range -4~6mm, sensitivity 8mA/mm

5. Piezoelectric acceleration sensor: measuring range 50000ms-2, charge sensitivity 1.47pC/ms-2, maximum lateral sensitivity ratio <5%FS.

(6) Regional alarm and sound and light dual control model

1. Pyroelectric switch sensor: sensing distance: 8m, delay time: 40~60s, switching condition: illumination <6Lux

2. Sound and light control switch sensor: sound control sensitivity 70dB, delay time: 40~60s, switching condition: illumination <6Lux

3. Piezoelectric cable sensor and piezoelectric controller: measuring range 2kg, switching output.

(7) Liquid level/flow/temperature control model

1. DC water pump: head: 0.6m, flow: 600L/h, power 30W

2. Ultrasonic liquid level sensor: range: 1m, blind zone: 0.06m, output: 4~20mA.

3. Turbine flow sensor: range: 0.1~0.6m3/h, accuracy 1%, pulse output.

4. PT100 temperature sensor (0-120℃), error plus or minus 1℃; equipped with heating system and intelligent digital display temperature control instrument.

(8) Electronic scale model

S-type tension pressure sensor: range: 20kg, output sensitivity: 2.0±0.005mV/V, linearity: 0.03%FS.

(9) Thickness detection model

Optical fiber displacement sensor and amplifier: Measuring range: 0~10mm, output: 1~5V, amplifier g*n continuously adjustable.

(10) Machine vision sensor development tr*ning platform

1. An industrial camera

2. High-speed USB2.0 interface, up to 480Mb/s; large area array CMOS progressive scan image sensor; supports static and dynamic image capture; can control any position of the image acquisition; transmission rate up to 15f/s 1280×1024; exposure time : Arbitrarily adjustable; .8bit uncompressed original image data, the software realizes plug-and-play installation of Bayer color conversion; supports Windows 2000/XP/Vista/Win7/Win8 operating system; the image is stable and reliable, and the performance indicators have been rigorously tested for a long time

3. An adjustable focus lens

4． One fill light

5. One test bench

6． target module

1)Color squares

2) Cable arrangement

3)Others

4) A set of development software platforms (labview source code)

5) Software (more than ten functions)

(11) Internet of Things sensor tr*ning platform

The tr*ning includes hardware equipment and experimental routines. The hardware equipment includes 1 STM32W108 zigbee motherboard, 9 STM32W108 zigbee nodes, J-link online debugging programmer and temperature, temperature and humidity, photosensitive, sound, ultrasonic and smoke sensors, which can realize the Internet of Things network architecture and real-time environmental data monitoring . The experimental routines include basic experiments based on STM32W108 zigbee and intermediate improvement experiments based on multi-node sensor real-time data control collection and Internet of Things network construction. Through basic and intermediate experiments, students are helped to become familiar with and master the principles and practical applications of Internet of Things-related technologies, so as to simultaneously improve their theoretical and practical abilities.

3. Practical tr*ning projects

(1) Basic tr*ning projects

1. Use through-beam photoelectric switch sensors to realize material counting

2. Use Hall proximity switch sensors to sort magnetic materials

3. Use inductive proximity switch sensors to sort metal materials

4. Use capacitive proximity switch sensors to sort plastic materials

5. Use color mark sensors to sort colored (black) materials

6. Use safety light curt*n sensors to control the motor

7. Use U-shaped photoelectric switch sensor to detect motor rotation

8. Use gear speed sensor to detect motor rotation

9. Use eddy current sensors and transmitters to detect the axis trajectory    

10. Use piezoelectric acceleration sensors and transmitters to detect vibrations

11. Use pyroelectric switch sensors to implement regional alarms

12. Use sound and light switch sensors to realize regional alarms

13. Use piezoelectric cable sensors and transmitters to implement regional alarms

14. Use ultrasonic liquid level sensors and transmitters to achieve liquid level detection

15. Use flow sensors and transmitters to achieve flow detection

16.Use S-type pull pressure sensor and transmitter to realize electronic scale design

17. Use optical fiber displacement sensors and transmitters to achieve thickness detection

18. Intelligent temperature control experiment

(2) Machine vision sensor tr*ning project

1. Real-time video analysis: FFT, histogram, grayscale, etc.

2. Video rotation control

3. Quick sketch of images to capture the action of images

4． Target size measurement

5. target extraction

6． edge tracking

7． Moving target display

8. LAN video sharing

9. color recognition

10． Identify and control

(3) Internet of Things sensor tr*ning project

1. Installation of debugging software and J-link driver

2. STM32W108 general IO experiment

3. Based on STM32W108 interrupt experiment

4． Wireless sensor node serial communication experiment

5. buzzer experiment

6． IIC communication experiment

7． Temperature sensor data collection experiment

8. Humidity sensor data collection experiment

9. Ultrasonic sensor data collection experiment

10． Smoke sensor data collection experiment

11. Sound sensor data collection experiment

12. Photosensitive sensor data collection experiment

13. LCD screen display experiment  

14． Transplantation experiment based on STM32W uCOS 

15. Experiment based on Zigbee Mac protocol stack

16． Wireless sensor node multi-point networking experiment

17． Wireless sensor node two-point communication experiment

18． Wireless sensor node multi-point communication experiment

19. IoT temperature monitoring experiment

20. Internet of Things Humidity Monitoring Experiment

twenty one. Ultrasonic sensor data collection experiment

twenty two. Smoke sensor data collection experiment

twenty three. Sound sensor data collection experiment

twenty four. Photosensitive sensor data collection experiment

25. Multi-node low power consumption experiment in the Internet of Things

26. Wireless sensor network node positioning experiment

Hot-selling product: Electrician tr*ning bench