Business Models for Free Analytics based on Household Power and Personal Motion Data for Fitness-Wellness Applications (MyHealthTrainer)

这种情况可以从一个小型企业扩展到通过社交网络连接的少数用户，并将数据出售给希望获得人口代表性样本的公司，直至覆盖整个人口。核心平台可以扩展，增加更多的人员监控数据源，如现有的个人信息数据库、温度、血压、交通部门数据、智慧城市等。它也可以扩展到零售客户之外，例如，可以向政府提供近乎实时的人口普查，这可能显示对非常炎热的天气、风暴或疾病流行病学等大规模事件的反应。潜在的挑战：(1)如果用户集不相交，不同部门的数据融合将受到限制。(2)不受控制地使用详细的个人活动数据是不道德的。以有限的隐私损失换取免费电子保健服务需要设计和用户知情同意。(3)物联网具有“围墙花园”或特定于服务提供商的应用。打破壁垒，让用户选择独立于通信和设备解决方案的最佳应用程序需要时间。(4)为一种应用构建的传感器网络可能无法提供适合另一种应用的数据。例如，英国智能电表系统每15秒采样一次电力，并且批量报告的频率要低得多。这种设计将限制电子医疗服务的准确性和延迟。(5)一个全英国范围的系统将产生32.5 tb /天，因此需要新的数据库技术，如Hadoop Hbase和neo4j。融资的附加价值：这将证明我们花时间探索这个商业案例是合理的，演示和宣传将成为吸引我们参加会议的诱饵。我们期望与其他资助项目有融合的潜力，并能够与他们和TSB工作人员交流想法。该方案的细节是根据竞赛概要构思的，但它对智能电表和电子医疗的跨部门有潜在影响。MRC认为这是一种以可访问的方式向公众开放数据的商业机会。

The scenario can scale from a small business with a few users connected via social networking and data sold to companies that want a representative sample of the population right up to full population coverage. The core platform can be extended to add many more sources of data for people monitoring such as existing personal information databases, temperature, blood pressure, transport sector data, smart city. It can also be extended outside the retail customers, for example governments could be offered a near real time population census, which might show the response to large scale events like very hot weather, storms or disease epidemiology.Potential Challenges: (1) Convergence of data for different sectors will be limited if the user sets are disjoint. (2) The uncontrolled use of detailed personal activity data is unethical. The trade of free e-health service for limited loss of privacy needs design and informed user consent. (3) IoT has “walled gardens” or applications specific to the service provider. It takes time to break down the walls and let the users choose the best applications independent of the communications and device solutions. (4) Sensor networks built for one application may not provide data suitable for another application. For example the UK smart meter system samples power every 15 seconds and reports it in batches much less frequently. This design will limit the accuracy and latency of the e-health service. (5) A UK wide system would generate 32.5 terabytes/day so new database technologies like Hadoop Hbase and neo4j are needed.Added Value of Funding: it will justify us spending time exploring this business case, the demonstrator and publicity will act as a hook to get us into meetings. We expect to have convergence potential with other funded projects and be able to exchange ideas with them and the TSB staff. The details of the scenario were conceived as a result of the competition brief but it has potential impact to the cross-sector of smart metering and e-health. MRC perceives this business opportunity as a way to open their data to the public in an accessible way.