Lightweight Mashup Middleware for Coal Mine Safety Monitoring and Control Automation

Abstract : Recently, the frequent coal mine safety accidents have caused serious casualties and huge economic losses. It is urgent for the global mining industry to increase operational efficiency and improve overall mining safety. This paper proposes a lightweight mashup middleware to achieve remote monitoring and control automation of underground physical sensor devices. First, the cluster tree based on ZigBee Wireless Sensor Network (WSN) is deployed in an underground coal mine, and propose an Open Service Gateway initiative (OSGi)-based uniform devices access framework. Then, propose a uniform message space and data distribution model, and also, a lightweight services mashup approach is implemented. With the help of visualization technology, the graphical user interface of different underground physical sensor devices could be created, which allows the sensors to combine with other resources easily. Besides, four types of coal mine safety monitoring and control automation scenarios are illustrated, and the performance has also been measured and analyzed. It has been proved that our lightweight mashup middleware can reduce the costs efficiently to create coal mine safety monitoring and control automation applications.

 EXISTING SYSTEM :

 ? The expansion of existing coal mine safety monitoring and control system, visualization technology can further improve the visibility of underground sensor objects, such as 3D technology, which provides significant support for decision making and real-time control in underground mines. ? When a natural calamity or a roof fall occurred, the cabling is damaged. So the reliability and long life of conventional communication system is poor these are all drawback of this paper. ? The system that can detect the methane of coal mine. ? High power consumption, poor humidity these are all drawbacks.

 DISADVANTAGE :

 ? This project aims at developing a wireless sensor network realized real time surveillance with early warning intelligence on harmful gases in mining area and used GPRS to monitor potential safety problems in coal protection using a IOT technology. ? The another problem is that the working condition of industries is very noisy and if the distance of the workers and system is long, workers will not get proper message. ? The problem in this project is that miner gets alert by voice communication since miner will be working in a noisy area then he does not gets alert. ? The identify problem with effective manner by giving the voice alert to each and every nodes.

 PROPOSED SYSTEM :

 • This paper proposes a lightweight mashup middleware to achieve remote monitoring and control automation of underground physical sensor devices. • Real-time coal miner localization and tracking system is also proposed in, which includes real-time coal miner dynamic display, 3D Geographic Information System (GIS) user interface, alarming, querying trajectories of all miners, and emergency rescue supporting. • We propose an easy to use, deploy and develop upon device-level coal mine safety monitoring and control automation middleware. • Then, propose a uniform message space and data distribution model, and also, a lightweight services mashup approach is implemented.

 ADVANTAGE :

 ? The lightweight mashup middleware consists of several elements and their performance can be tested and evaluated through different scenarios. ? Besides, in order to improve the efficiency of the rescue work, it is also necessary to provide an intuitive personnel distribution map at any time. ? The data-centric paradigm is most efficiently realized by publish-subscribe based data distribution pattern rather than traditional request-response pattern. ? The desirable topology of a WSN in coal mines should not only gain high system reliability and robustness, but also realize efficient localization of miners.