The promising potential of cloud computing and its convergence with technologies such as cloud storage, cloud push, mobile computing allows for creation and delivery of newer type of cloud service. Combined with the thought of cloud computing, this paper presents a cloud-based remote measurement and analysis system. This system mainly consists of three parts: signal acquisition client, web server deployed on the cloud service, and remote client. This system is a special website developed using asp.net and Flex RIA technology, which solves the selective contradiction between two monitoring modes, B/S and C/S. This platform supplies customer condition monitoring and data analysis service by Internet, which was deployed on the cloud server. Signal acquisition device is responsible for data (sensor data, audio, video, etc.) collection and pushes the monitoring data to the cloud storage database regularly. Data acquisition equipment in this system is only conditioned with the function of data collection and network function such as smartphone and smart sensor. This system’s scale can adjust dynamically according to the amount of applications and users, so it won't cause waste of resources. As a representative case study, we developed a prototype system based on Ali cloud service using the rotor test rig as the research object. Experimental results demonstrate that the proposed system architecture is feasible.
Mobile health has been a new trend all over the world with the rapid development of intelligent terminals and mobile internet. It can help patients monitor health in-house and is convenient for doctors to diagnose remotely. Smart-phone-based mobile health has big advantages in cost and data sharing. Front end design of it mainly focuses on two points: one is implementation of medical sensors aimed at measuring kinds of medical signal; another is acquisition of medical signal from sensors to smart phone. In this paper, the above two aspects were both discussed. First, medical sensor implementation was proposed to refer to mature measurement solutions with ECG (electrocardiograph) sensor design taken for example. And integrated chip using can simplify design. Then second, typical data acquisition architecture of smart phones, namely Bluetooth and MIC (microphone)-based architecture, were compared. Bluetooth architecture should be equipped with an acquisition card; MIC design uses sound card of smart phone instead. Smartphone-based virtual instrument app design corresponding to above acquisition architecture was discussed. In experiments, Bluetooth and MIC architecture were used to acquire blood pressure and ECG data respectively. The results showed that Bluetooth design can guarantee high accuracy during the acquisition and transmission process, and MIC design is competitive because of low cost and convenience.