IOT or internet of things is a technology that deals with bringing control of physical devices over the internet. Here we propose efficient industry automation system that allows user to efficiently control industry appliances/machines over the internet. For demonstration of this system we use 1 load as Relay which will control industrial appliances or induction motor. Our system uses an Avr family microcontroller for processing all user commands. A WiFi modem is used to connect to the internet and receive user commands. On sending commands through the internet they are first received by our WiFi modem. The modem decodes information and passes it to the microcontroller for further processing. The microcontroller then switches loads and operates the motors as per receivers commands. Also it displays the system state on an LCD display. It can also get machine data like temperature,Humidity or pressure.Thus we automate entire industry using online GUI for easy industry automation.

  • Internet of Things: A network of internet-connected objects able to collect and exchange data using embedded sensors.
  • Internet of Things device: Any stand-alone internet-connected device that can be monitored and/or controlled from a remote location.
  • Internet of Things ecosystem: All the components that enable businesses, governments, and consumers to connect to their IoT devices, including remotes, dashboards, networks, gateways, analytics, data storage, and security.
  • Entity: Includes businesses, governments, and consumers.
  • Physical layer: The hardware that makes an IoT device, including sensors and networking gear.
  • Network layer: Responsible for transmitting the data collected by the physical layer to different devices.
  • Application layer: This includes the protocols and interfaces that devices use to identify and communicate with each other.
  • Remotes: Enable entities that utilize IoT devices to connect with and control them using a dashboard, such as a mobile application. They include smartphones, tablets, PCs, smartwatches, connected TVs, and nontraditional remotes.
  • Dashboard: Displays information about the IoT ecosystem to users and enables them to control their IoT ecosystem. It is generally housed on a remote.
  • Analytics: Software systems that analyze the data generated by IoT devices. The analysis can be used for a variety of scenarios, such as predictive maintenance.
  • Data storage: Where data from IoT devices is stored.
  • Networks: The internet communication layer that enables the entity to communicate with their device, and sometimes enables devices to communicate with each other.

IoT Predictions, Trends, and Market

BI Intelligence, Business Insider’s premium research service, expects there will be more than 24 billion IoT devices on Earth by 2020. That’s approximately four devices for every human being on the planet.

And as we approach that point, ₹ 388 billion will flow into IoT solutions, including application development, device hardware, system integration, data storage, security, and connectivity. But that will be money well spent, as those investments will generate ₹ 840 trillion by 2025.

Who will reap these benefits? There are three major entities that will use IoT ecosystems: consumers, governments, and businesses. For more detail, see the Industries section below.

IoT Industries

Several environments within the three groups of consumers, governments, and ecosystems will benefit from the IoT. These include:

Manufacturing Transportation Defense Agriculture
Infrastructure Retail Logistics Banks
Oil, gas, and mining Insurance Connected Home Food Services
Utilities Hospitality Healthcare Smart Buildings

IoT Companies

There are literally hundreds of companies linked to the Internet of Things, and the list should only expand in the coming years. Here are some of the major players that have stood out in the IoT to this point:

Honeywell (HON) Hitachi T-Mobile (TMUS) Comcast (CMCSA)
GE (GE) AT&T (T) Cisco (CSCO) IBM (IBM)
Amazon (AMZN) Skyworks (SWKS) Apple (AAPL) Sierra Wireless (SWIR)
Google (GOOGL) Iridium Communications (IRDM) Ambarella (AMBA) ARM Holdings (ARMH)
Texas Instruments (TXN) PTC (PTC) Fitbit (FIT) ORBCOMM (ORBC)
Garmin (GRMN) Blackrock (BLK) InvenSense (INVN) Microsoft (MSFT)
Control4 (CTRL) Silicon Laboratories (SLAB) CalAmp (CAMP) LogMeIn (LOGM)
InterDigital (IDCC) Ruckus Wireless (RKUS) Linear Technology (LLTC) Red Hat (RHT)
Nimble Storage (NMBL) Silver Spring Networks (SSNI) Zebra Technologies (ZBRA) Arrow Electronics (ARW)

IoT Platforms

One IoT device connects to another to transmit information using Internet transfer protocols. IoT platforms serve as the bridge between the devices’ sensors and the data networks.

The following are some of the top IoT platforms on the market today:

  • Amazon Web Services
  • Microsoft Azure
  • ThingWorx IoT Platform
  • IBM’s Watson
  • Cisco IoT Cloud Connect
  • Salesforce IoT Cloud
  • Oracle Integrated Cloud
  • GE Predix

The Internet of Things (IoT) is about to transform the next decade. Literally everything will be connected to everything. Some estimate that 50 billion devices will be IoT-connected by 2020. The clock on the connected device transition is ticking very loudly. We discussed the broad concepts of IoT previously (Automation World, April 2011). Here we will focus on the emergence of IoT in the world of automation.

The primary drive for automation IoT is to significantly reduce operating expenditures when automation devices, sensors and actuators become Internet-enabled devices. It’s the next huge leap in productivity because there are major advantages to be derived from the acquisition and organization of previously unthinkable amounts of data. New Enterprise Manufacturing Intelligence software (EMI) brings manufacturing-related data together from many sources for reporting, analysis, visual summaries and passing data between enterprise-level and plant-floor systems.

With the increasing use of fieldbus within control networks and the spread of software intelligence, some think that IoT is already emerging in industry. But, the progress that’s occurred is just a small fraction of what can and will happen over the next decade. The inflection point will occur when literally everything is connected with inexpensive and easy-to-install wireless networks.

Industrial IoT must be self-organizing, self-configuring, self-healing, scalable to large sizes, with very low energy consumption, low cost, simple to install and based on global standards. That’s a tall order, which current automation network standards simply cannot meet. In my opinion, with the spread of IoT, the ZigBee over IEEE 802.15.4 standard, currently languishing with minimal market share, will emerge to mainstream prominence.

Key question: Will IoT be secure? The focus of most companies’ security efforts is on devices with which humans interact directly. Each connected device represents a potential point of weakness through which hackers can gain unauthorized access. At a minimum, security requirements for any connected device must be addressed: remote device access and data communications between devices; device identity management; authentication of devices and device applications on the network.

Growth Opportunity
Glen Allmendinger has been preaching the technology for more than a decade. He believes that “the biggest challenge will be finding enough new technology and industry players to develop all the applications required for this expanding opportunity. ” That’s the growth opportunity.

Hardware for automation products is relatively straightforward; software is the key to growth and success. There should be no complex configurations, no network protocols for switches and routers or assignment of IP addresses for different devices. Instead, self-configuring networks, services and applications must hide most of the complexity.

>> IoT In Manufacturing: A recent feature article on this game-changing concept reveals some of the present challenges.  Visit

Today’s automation systems applications are cumbersome and complex to develop. Each new device requires too much customization and maintenance just to perform the basic tasks. Connecting disparate devices and systems entails a high level of engineering complexity, because of different data formats, diverse networks, incompatible IP addressing schemes, many operating systems, and so on.

In order for the market to really take off several key technology hurdles will need to be addressed: truly ubiquitous device communications standards and new software architecture to support massively peer-to-peer, complex event-driven data management. The present-day lack of interoperability with distributed, real-time device data remains a huge hurdle.

Traditional HMI, MES and other enterprise applications have reached saturation. In my view, here are the big, new opportunities for growth and success. Automation software developers and services providers should now turn their attention to IoT. The growth markets are very large and many critical challenges need to be addressed. To the winners go the spoils.

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