情境计算中间件及其在校园节能中的应用

为解决校园内普遍存在的能源浪费及管理效率不足问题,提出情境计算中间件。该中间件分为资源层、适配层、服务层和应用层。资源层采集数据;适配层通过定义统一的数据格式来过滤数据并屏蔽底层数据格式的不一致性;服务层利用语义网建模和情境计算技术对数据进行推理,利用推理结果生成决策方案;应用层利用决策方案为用户提供智能服务。实验结果表明,该中间件在应用上取得了良好效果,实现了多维时空数据的融合并达到智能预测与控制能源的目标。

Contextual computing middleware and its application in campus energy conservation

To solve the problem of energy waste and inefficient management, a contextual computing middleware was proposed. This middleware was divided into the resource layer, the adaptation layer, the service layer and the application layer. The resource layer collected data. The adaptation layer filtered data and shielded the inconsistency of the underlying data format by defining a unified data format. The service layer used semantic network modeling and contextual computing technology to reasoning the data, and used the reasoning results to generate decision schemes. The application layer made use of the decision scheme to provide the intelligent service for the user. Experimental results indicate that the middleware not only achieves good results in application, but also achieves the integration of the multi-dimensional data and spatiotemporal data, which achieves the goal of intelligent prediction and control of energy.