Industrial Process Monitoring By Using Raspberry Pi And Wireless Communication

Tiny OS is one of the free and open source operating system for Wireless Sensor Network. Tiny OS is a component based operating system designed only for embedded system application. It is an embedded operating system which uses nesC programming language. The nesC programming language is very easy to learn because it already has some existing code. Tiny OS was developed primary use for network of small sized sensor devices and mote applications. [1]

The Internet of Things (IoT) is the interconnected network of sensors, machines, and devices via wireless transmission. The challenge with this concept is that it requires an abstract definition of a concrete process. Connecting devices together to enhance their potential and to increase proficiency is the theory behind the IoT. The data created, complied and used by sensors, machines and devices is the application of IoT. Pye’s article takes these concepts and further defines the impact on industrial and scientific applications.

The Internet of Things (IoT) is the group of objects or things embedded with electronics, software, sensors and network connectivity, which allows these objects to gather and exchange information. It allows objects to be detected and controlled remotely across existing network infrastructure, making opportunities for a lot of direct integration between the physical world and computer based systems, and leading to improved efficiency, accuracy and economic profit. Every factor is uniquely recognizable through its embedded computing system however is in a position to inter-operate inside the existing internet infrastructure. The Internet of Things can refer to a very wide variety of devices, including heart monitoring implants, automobiles with

SAP stands for the systems, application and products in the data processing. It is one of the largest software company and design business software to incorporate all aspects of the business. At present, the company is offering a wide-ranging assortment of resolutions for the Internet of Things (IoT). The IoT platform will assist business enterprises to easily improve, organize, and accomplish their actual Internet of Things IoT as well as Machine-To-Machine (M2M) software applications. By utilizing this digital platform business enterprise can not only run the automated processes, but can also connect to any application through networking (Kamilaris & Pitsillides, 2016).

Internet of things (IoT) is becoming a hot topic in recent years. Its application is very wide which can be applied to the military, industry, agriculture, power grid and networks, transportation, logistics, energy saving, environmental

The main idea behind the working of the Internet of Things revolves around increased machine-to-machine communication or M2M communication as it is called nowadays. It’s built on cloud computing and networks of sensors that can collect data and store it. The Internet of things offers mobile, virtual, and instantaneous connection. It is all about installing sensors (RFID, Bluetooth, GPS etc.) and connecting them to the internet through the use of specific protocols for data transfer and communications, in order to achieve intelligent recognition, location, tracking, monitoring and management (Zhang, Kim, & Mohammed, 2015). Thus, the Internet of things really comes together with the connection of sensors and machines. The real value that the Internet of Things creates is at the intersection of collecting data and using it for future use (Burrus, 2012).

With the rapid development of IoT of things, there are a variety of IoT applications that contribute to our everyday life. They cover from more traditional equipment to the general household things. This makes human life much better.

The impossible measurements in typical ways have currently become attainable using the wireless technology. Wireless sensors are used in most of the in real time applications for collecting physical information. Wireless sensors are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. They are self-configured sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where the data can be observed and analyzed. A sink or base station acts like an interface between users and the network. The main objective of this paper is to introduce air pollution detection using internet of things and to report the status of the air quality whenever needed. This system is low

The ESP8266 Wifi Module was integrated into the developed monitoring system to grant the Arduino access to any WiFi network, if given the network name and password. Once the network connection is established, the prototype will have the ability to send an email at the command of the Arduino. Furthermore, the alarm system of the developed prototype is composed of the serial LCD module display, a vibrating disk motor, and a passive buzzer. The LCD

Abstract—We present a technique in which we use a credit card sized microcomputer to serve as an access point in a wireless network based entirely on wireless communication and low-cost, robust and responsive detective wireless devices on the network. The wireless devices are basically smartphones that will connect itself to the network which will be generated by a system proposed later in the paper. The paper deals with reviewing the work done by research scholars previously on this area of embedded computing (using Raspberry Pi) and IoT that shall serve as a foundation to the system proposed by the authors. The reliability and the suitability of the system proposed can be advocated by the work done in this field by various authors whose papers have been reviewed here.

These sensors generate a lot of data that needs to be stored, managed and analyzed. There are options to connect memory cards or computers to these sensors or we can integrate the sensors in to devices with further networking capabilities. Most of the applications of IoT use a cloud-based system to store and analyze data. The applications of IoT is so vast that we can expect these things to generate massive amounts of data which has to be gathered, stored and processed quickly and efficiently. The advantages of using a cloud-based system is that it is scalable and the data is easily accessible through appropriate web applications. By the end of this project, the goal is to design and set up a unix cloud-based server to store and visualize sensor data that was collected, through a web interface.

Over the past decade we have seen a rapid adaptation of ubiquitous internet-enabled technologies in many fields, from home security to public transport to monitoring natural resources. The proliferation of these devices, enabled by advances in sensor technologies, have provided us with a platform where devices can communicate with each other and execute management tasks without human oversight. In this paper, we look at potential applications for Internet of Things based solutions in wind turbine industry. A major bottleneck observed in the functioning of wind turbines is the premature gearbox failures that result in unexpected maintenance shutdowns and related costs. We see how IoT, coupled with debris monitoring systems currently in place, can help address this issue.

With advancement in technology, application of IOT is increasing rapidly and in different fields like agriculture, construction, Transportation and smart cities. In this

The Industrial Temperature Monitoring System fully automates temperature monitoring and recording. The system provides auditable records for effective temperature management. The unique alarm handling system provides the alarm duration,

Abstract— An automated irrigation system is developed to optimize water use for agriculture crops. The system has a distributed wireless sensor node network of soil moisture, temperature sensors and humidity sensor placed in the soil. Energy conservation is a very critical issue in wireless sensor networks. In this paper a TDMA based MAC protocols are used to conserve the energy in wireless sensor networks which is used in an irrigation system. An algorithm is developed with threshold values of moisture level, temperature of the soil and humidity sensor that are programmed into microcontroller based gateway to control irrigation in a field. Also two methods based on TDMA scheduling are used. The first one is direct communication method, in which each node transmitted the data directly to the sink node and other one is data aggregation method in which nodes are grouped into clusters to save energy.