Intelligent data acquisition and processing of remote monitoring system based on internet of things

Abstract

In this paper, we study how the computational framework underpinned by the Internet of Things (IoT) paradigm can be utilized in remote monitoring industrial reaction kettle. We analyze a wide variety of reaction kettle monitoring parameters and their characteristics to scope of work. Sensor technologies are used for intelligent data acquisition. Such data are then transferred to a host computer with high frequency signal using ZigBee wireless communication technology. We use multi-thread technology to regular polling access to monitored data. We improve overall system performance by employing a cache module for the most recently used (MRU) data. The development of middleware realizes the communication between the host computer and client application systems. Principles of Service Oriented Architecture are adopted in the design of our system to reduce the coupling of the system components. Preliminary evaluation and integration test were also conducted, showing positive outcomes, and are reported in this paper.