Design of Intelligent Management System for Pet Keeping Environment Based on Microcontroller
This design is the one of intelligent management system for pet keeping environment based on microcontroller, and the working mode of this device is divided into two: automatic mode and manual mode. In the manual mode, the system control is achieved through mobile phone APP and keys, controlling the switching of all devices and the switching of modes. The automatic mode automatically controls the equipment by setting thresholds such as temperature and methane concentration. When the threshold range is exceeded, the system automatically adjusts the environment. The design adopts STM32 microcontroller as the main control unit, combined with weight, water level, temperature, methane detection module and display, clock, key, motor, pump, fan, alarm, communication module. STM32 microcontroller is responsible for the overall operation of the equipment; the clock module realises the timing function; weight, water level, temperature, gas detection module detects the parameters of weight of food, water level, temperature, methane concentration and so on respectively; The OLED display shows the weight, temperature and other parameters; the keypad realises mode switching and the switch of feeding in manual mode; the circuit is designed using motor, water pump, fan and buzzer to complete the work of feeding, water feeding, cooling and alarming, etc.; the communication module realises the viewing of the system parameters on mobile phone and remote control. After the system is powered, each module can work normally. The results show that this design has certain practical application value.
Authors
- Zhang Yuxia
- Tong Fu (ORCID: https://orcid.org/0000-0001-7669-6903)
- Yu Haixia
Institutions
- Dalian University of Technology (CN)
- City Institute, Dalian University of Technology
Publication Details
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1109/icaica63239.2024.10823059
- Citations
- 1
- Primary Topic
- Wireless Sensor Networks and IoT
- Type
- article
- Field-Weighted Citation Impact
- 0.33