Abstract: In order to reduce the work intensity of traditional medical staff on patient patrol and timely understand the status of various indicators of patients, a set of patient intelligent monitoring system which based on Internet of things and cloud platform is designed. This study uses the internet of things technology to monitor the patient's heartbeat, pulse, ballistocardiography, body position, whether out of bed and sleep quality. The data is transmitted through optical fiber sensing technology and uploaded to the cloud platform to understand the patient's situation in real time. The results show that the system has stable performance and can ensure the real-time and accuracy of medical information. Meeting the needs of ward front-line management, not only reduce the workload of nurses, but also improve work efficiency. It is great significance to ward management and the development of hospital information construction.