Enterprise Management Data Acquisition System Based on WoT

Kun Yan, Dongyan Li
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Abstract

With the rapid development of the WoT, acquisition requirements to the data grow with each passing day. However, the existing data acquisition systems usually use the upload mode. Uploading data not only takes a lot of time, but also requires staff to continuously monitor on duty. Aiming at the problem of enterprise management data acquisition, a WoT-based enterprise management data acquisition and analysis system is constructed. The system obtains multiple monitoring data through the data acquisition module and integrates these data through the processing module, which can solve the problems of traditional data acquisition systems. In order to effectively fuse data, based on canonical correlation analysis (CCA), the multiple order statistics correlation discrimination analysis algorithm is proposed as a fusion strategy. Experimental results show that the fusion strategy based on CCA can effectively integrate monitoring data and accurately identify different characters.
基于WoT的企业管理数据采集系统
随着WoT的快速发展,对数据的获取需求也与日俱增。然而,现有的数据采集系统通常采用上传模式。上传数据不仅需要花费大量的时间,而且需要工作人员在值班时持续监控。针对企业管理数据采集的问题,构建了一个基于物联网的企业管理数据采集与分析系统。该系统通过数据采集模块获取多个监控数据,并通过处理模块对这些数据进行集成,解决了传统数据采集系统存在的问题。为了有效地融合数据,在典型相关分析(CCA)的基础上,提出了一种多阶统计量相关判别分析算法作为融合策略。实验结果表明,基于CCA的融合策略能够有效整合监测数据,准确识别不同特征。
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