Syslog Technologies Innovative Thoughts

Internet of Things in Industries: A Survey

ABSTRACT:

The Internet of Things (IoT) is a scenario in which objects, animals or people are provided with unique identifiers and the ability to automatically transfer data over a network without requiring human-to-human or human-to-computer interaction. IoT has evolved from the convergence of wireless technologies, micro-electromechanical systems (MEMS) and the Internet. The internet of things also called an Internet of objects. The Internet of Things (IoT) provides a virtual view, via the Internet Protocol, to a huge variety of real life objects, ranging from a car, to a teacup, to a building, to trees in a forest. Its appeal is the ubiquitous generalized access to the status and location of any thing we may be interested in. Online monitoring system for continuous casting equipment is established based on IOT sensing technology and communication technology. As the system contains a variety of sensor types like temperature sensor, pressure sensor, speed sensor etc.. And data transmission protocols, it will lead to a large amount of heterogeneous data of different sensors current and voltage values and the data is difficult to integrate with applications in upper layer.

A data processing framework is introduced into the system to deal with such problems. The framework focuses on protocol conversion, data processing methods and integration with applications in upper layer. A data processing framework is introduced into the online monitoring system, which is a bridge between physical layer and application layer. Finally, application in online monitoring system proved the validity of the framework. From this framework we came to know that the requirements of the equipment are used in the technology and we can also monitor system wide changes.

INTRODUCTION:The Internet of Things refers to uniquely identifiable objects and their virtual representations in an Internet-like structure. The term Internet of Things was proposed by Kevin Ashton in 1999. The concept of the Internet of Things first became popular through the Auto-ID Center at MIT and related market analysis publications. Radio-frequency identification (RFID) was seen as a prerequisite for the Internet of Things in the early days. If all objects and people in daily life were equipped with identifiers, they could be managed and inventoried by computers. Besides using RFID, the tagging of things may be achieved through such technologies as near field communication, barcodes, QR codes and digital watermarking. Internet of things is a kind of network that connecting any items to the internet according to the agreed protocol by using various sensing devices. From a technical architecture perspective, IOT can be divided into physical layer, network layer and application layer. IOT contains variety kinds of sensor type and data transmission protocol which makes the network of IOT being a heterogeneous network.Continuous casting equipment is widely used in the iron and steel metallurgy industry. It can improve the production efficiency, reduce consumption and waste of the material greatly, so with the growing need of continuous casting equipment, demand of MRO (Maintenance, Repair and Overhaul) service for the continuous casting equipment is rising. To provide better failure prediction, timely repair and maintenance for the equipment, an online monitoring system based on IOT sensing technology and communication technology is needed to monitor production environmental parameters and running state parameter of the equipment. However, the system contains variety kinds of sensor (such as temperature sensor, pressure sensor, speed sensor, etc.), which will cause us problems when we tackling with large amount of heterogeneous data, multi-transport protocols and integrating data with applications in upper layer. To solve these problems, a data processing framework is introduced into the online monitoring system, which is a bridge between physical layer and application layer. The framework will help us deal with problems of handling multiple data protocols, data filtering, data processing and data integration in the system, thus it is convenient for us to reveal low coupling between the perception layer and the application layer.

WORKING PRINCIPLE:Many technologies and methods have been used in IOT based system to achieve the smart management and processing of the data. The key section of data processing includes data acquisition, data storage, data inquiry, and data analysis. In this project, a data processing framework is applied in the online monitoring system to deal with massive number of heterogeneous data collected from the underlying physical layer. The framework is divided into a structure of layers, Device Layer consists of various kinds of sensors which are used to measure parameters (such as temperature, pressure, etc.) of the equipment. It is at the bottom logic structure of the system. The original data collection and system command are realized in this layer. Physical layer is made up of data transmission devices using different kinds of physical transmission methods and protocols (such as Zigbee, RFID, etc.) due to different application environment and different needs. It is in charge of communication between the device layer and its upper layers. The controller is interfaced with a RFID card reader which is used for authentication purpose. As soon as the RFID card is tapped the system sends a packet of data consisting of various kinds of information such as the temperature and gas concentration of the surrounding environment. This data is transmitted wirelessly via the Zigbee to the host system.The host system receives the data via the Zigbee receiver connected to it and does the further processing and updates it to the server for database storage and display.

ADVANTAGES: Provides real-time accurate environmental parameters Help us to provide better fault prediction and timely repair Provide remote based monitoring

DISADVANTAGES: Internet connection required

HARDWARE REQUIREMENT: MICROCONTROLLER : AT89S52 POWER SUPPLY : 5V-12V SENSORS: TEMPREATURE SENSOR (LM35), GAS SENSOR. Zigbee transceiver. RFID reader.

SOFTWARE REQUIREMENT: Embedded C WILLAR PROGRAMMER. KEIL IDE .Net

BLOCK DIAGRAM:

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C-AT89S52

CRYSTAL11.0592

MAX 232

RX

TX

GAS SENSOR

Rectifier

Transformer

Filter

Regulator

ZigBee Module

RS 232

ADC

Temperature sensor

RFIDREADER

ZigBee Module

server

Router

Internet