基于Raspberry Pi的智能猫砂盆健康监测系统设计OA

With the growth of the pet-keeping demand,existing intelligent cat litter boxes have limitations in monitoring the health of cats.Aiming to this,a health monitoring system for intelligent cat litter boxes is designed.The system uses a Raspberry Pi 4B as the main control chip,integrates multiple hardware modules such as air quality monitoring,automatic cleaning,and weighing,applies the YOLOv9 algorithm for excrement identification,and enables data viewing and remote control through a mobile phone App.After testing,the air quality monitoring system of the system shows extremely high accuracy.Compared with manual measurement,the average error is less than 5%.After detecting that the ammonia concentration exceeds the standard,the average response time is only 1.5 s.After the automatic cleaning program is activated,the ammonia concentration is reduced by an average of 75%.The efficiency test of the automatic cleaning function shows that the cleaning frequency of the intelligent cat litter box is 50%higher than that of a conventional cat litter box,and the cleanliness after cleaning is higher,90%of cats show a clear preference for it.The system realizes precise monitoring of the health status of cats and intelligent management of the cat litter box,providing convenience for pet owners and enhancing the attention to the health of cats.However,there is still room for further optimization,such as improving image recognition algorithms,expanding air quality monitoring categories,and adding health data analysis features to the App.