基于机器码学习的跨域应用程序的Web技术研究  

Research on Web Technology of Cross-domain Application Based on Machine Code Learning

作　　者：杨兰[1] 

机构地区：[1]宝鸡职业技术学院,陕西宝鸡721013

出　　处：《自动化与仪器仪表》2017年第12期181-183,186,共4页Automation & Instrumentation

摘　　要：物联网的核心思想就是实现机器对机器(Machine-To-Machine,M2M)的彼此通信,摒弃了传统的人为干预的模式。M2M设备为应用提供大量的机器数据,主要用于特定的应用需求,如天气预报、医疗保健或楼宇自动化等,现有的应用程序是针对特定域服务的,不同的域均采用独立的设备以及采集策略。文中提出一种基于语义的方法实现跨域信息的自动组合,用于解决异构域M2M应用程序的融合,降低物联网异构域系统集成的复杂度,并且对M2M数据进行丰富及推理,为用户提供优化的跨域M2M应用。The core idea of the Internet of Things is to realize machine-to-machine （M2M）communication with each other, abandoning the traditional pattern of human intervention. M2M equipment provides a large amount of machine data for applications, primarily for specific application requirements such as weather forecasting, heahhcare or buihting atttomation, etc. The existing applications are for specific domain services,and separate domains use separate equipment and Collection strategy. In this paper, a semantic-based method is proposed to realize the automatic combination of cross-domain information, which is used to solve the integration of heterogeneous domain M2M application program, reduce the complexity of heterogeneous domain system integration, and enrich and reason the M2M data. Users provide optimized cross-domain M2M applications.

关 键 词：机器对机器 人为干预 异构域 跨域应用程序 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]