Small Healing Room For Grafting Seedling Healing And Data Collection

Grafted seedlings are an important pillar of agricultural production,and the healing environment is an important factor affecting the survival of grafted seedlings.For the current grafting healing equipment has fewer types of environmental information collection,can not be efficient and convenient grafted seedlings in the healing canopy image acquisition and phenotypic in situ detection and other problems,this study designed an intelligent grafting healing box,using environmental sensors to collect environmental information in real time,transmitted to the STM32 microcontroller,control heating,cooling,supplemental light and other equipment in the healing environment,such as temperature,humidity,light and other grafting At the same time,the internal image acquisition module can continuously capture images of the crown of grafted seedlings.The main work and results of this paper are as following:1.Grafting healing box structure and environmental control scheme design.According to the grafted seedlings healing requirements of temperature,humidity and light,the structural design of the heating box,determine the size of the heating box,draws a threedimensional model.According to the simulation results,the ventilation holes were initiated in the middle of the side of the box and the heating method was to lay the heating sheet at the bottom.The regulation strategy of temperature is determined as fuzzy PID,and Simulink is also used for model simulation,which has faster response and superior stability compared with traditional PID.Humidity control uses threshold detection,and the circuit is controlled by a relay on and off.Light intensity control is obtained by using PWM waves to induction regulate the output voltage for smoother control.2.Hardware selection and interface circuit design.By the control requirements of the system select STM32 as a microcontroller,according to the needs of environmental parameter measurement and regulation,select the environmental parameters in line with the accuracy and reliability requirements of the sensor implementation equipment,the use of heating pad heating,compressor cooling,ultrasonic humidifier atomization humidification.Finally,Altium Designer is used to make PCB boards and integrate the circuit to integrate the sensors and actuating devices used,which can improve the stability of the circuit.3.Healing box built-in image acquisition module design.According to the needs of image acquisition and image processing algorithm,Azure Kinect is selected as the image sensor,and the mechanical structure of the image acquisition module is designed and fabricated with the micro host of Windows OS as the control core and powered by lithium battery alone.Labview is used to design the human-computer interaction control interface,which can continuously shoot and save the crown images of grafted seedlings.4.Human-computer interaction system design.Based on USART HMI,we designed a series screen control interface for on-site control,which can display the internal environmental parameters of the heating box in real time by transmitting data with STM32 through the serial port.APP Inventor is used to develop a cell phone APP for remote control,and transmit data to the atomic cloud through Wi Fi,so that the remote monitoring of the healing environment can be realized regardless of the distance.5.Grafting healing box functional test.Environmental control and graft healing tests were conducted in the healing chamber,and the healed grafted seedlings were compared with those healed by traditional healing methods to analyze the healing effect.The tests showed that the temperature and humidity in the healing chamber could be continuously maintained stable,the survival rate of healing was more than 90%,and accurate phenotype detection results could be output by using the image analysis of the grafted seedling canopy images taken.The device can easily set the environmental parameters required for grafted seedling healing,and can automatically and continuously collect environmental information and images of grafted seedling canopies,which can provide diverse healing environments and critical scientific data for grafting-related research,and is a promising intelligent tool for application.