对宠物健康监测的研究与设计

Research and Design of Pet Health Monitoring

针对宠物健康问题,文章提出基于物联网的宠物健康监测系统。该系统采用了宠物行为识别、机器学习以及深度学习算法等技术,通过算法来判断宠物是否健康。实验结果表明,该系统能够比较准确地监测宠物的健康状况,研究成果对于宠物健康管理和医疗保健具有一定的意义和价值。未来,基于物联网的宠物健康监测系统必将成为宠物健康管理的重要工具,为宠物主人提供更全面、科学的健康管理方案,有利于及时发现和干预宠物健康问题,对改善宠物健康产生积极影响。

Aiming at the problems of pet health,this paper proposes a pet health monitoring system based on the Internet of Things.The system uses pet behavior recognition,Machine Learning and Deep Learning algorithms and other technologies,and it can determine whether a pet is healthy or not through algorithms.The experiment results show that the system can accurately monitor the health status of pets,and its research results have certain significance and value for pet health management and medical care.In the future,the pet health monitoring system based on the Internet of Things is expected to become an important tool for pet health management,providing pet owners with a more comprehensive and scientific health management program.It is conducive to the timely detection and intervention of pet health problems,and it will have a positive impact on the improvement of pet health.