Research And Design Of An IoT-based Frost Protection System For Mountain Apples

Mountain apples are popular for their bright colour and sweet flavour,but their special geographical location leads to frequent frost damage.Frosts have a wide range of effects,are sudden and have serious consequences,which greatly affects the production of apples in the mountains.Although traditional frost protection techniques are effective to a certain extent,they are labour-intensive,harmful to the growth of fruit trees and polluting to the environment,so frost protection for mountain apples has become an important research direction for the fruit industry.This paper investigates and designs an Io T-based frost protection system for mountain apples.The thesis investigates and designs an Io T-based frost protection system for mountain apples based on three-layer Io T architecture and data analysis algorithms,combined with the growth of mountain apples.This thesis investigates and designs a frost protection system for mountain apples in the following five aspects.(1)Hardware design of a frost protection system for mountain apples.The device is divided into anti-frost fan motor terminal and exothermic reaction terminal,using STM32F103C8T6 microcontroller as the main control chip,acquiring temperature and humidity data collected by temperature and humidity sensor DHT11 and setting different temperature thresholds,when the collected temperature value is lower than4?,STM32F103C8T6 sends control instructions to L298 N motor driver module to drive the anti-frost When the collected temperature value is 0?,the STM32F103C8T6 sends a command to the L298 N motor module to drive the water pump to work,releasing the water flow and the chemical reaction of quicklime to generate heat to raise the temperature.(2)Software design for a frost protection system for mountain apples.Software design of the intelligent anti-frost system for mountain apples according to the hardware structure,controlling the anti-frost fan motor terminal and the exothermic reaction terminal separately and drawing the workflow diagram of each module.(3)Visual interface design for mountain apple frost protection systems.The temperature and humidity database was established using My SQL,and the vueelement-admin framework was used to design and build the various modules of the visualization page.(4)A model for predicting frost in mountain apples.Frost prediction models were constructed using BP neural networks and logistic regression algorithms based on temperature values from previous years in March and April.(5)Commissioning of frost protection systems for mountain apples.Through the commissioning,the results show that the system has basically achieved the functions of temperature collection and data analysis,frost disaster weather trend prediction,automatic activation of frost protection devices,front-end page construction and visual display,etc.,laying the foundation for the subsequent implementation of a more complete frost protection system.