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This article needs attention from an expert on the subject. Please add a reason or a talk parameter to this template to explain the issue with the article. 4 billion in 2017 and it is estimated that there will be 30 billion devices by 2020. The definition of the Internet of things has evolved due to convergence of multiple technologies, including wireless communication, real-time analytics, machine learning, commodity sensors, and embedded systems.
The concept of a network of smart devices was discussed as early as 1982, with a modified Coke machine at Carnegie Mellon University becoming the first Internet-connected appliance, able to report its inventory and whether newly loaded drinks were cold. A research article mentioning the Internet of Things was submitted to the conference for Nordic Researchers in Logistics, Norway, in June 2002, which was preceded by an article published in Finnish in January 2002. A Nest learning thermostat reporting on energy usage and local weather. IoT devices are a part of the larger concept of home automation, which can include lighting, heating and air conditioning, media and security systems. The term “Enterprise IoT” refers to devices used in business and corporate settings. By 2019, it is estimated that EIoT will account for 9.
Monitoring and controlling operations of urban and rural infrastructures like bridges, railway tracks, on- and offshore- wind-farms is a key application of the IoT. Network control and management of manufacturing equipment, asset and situation management, or manufacturing process control bring the IoT within the realm of industrial applications and smart manufacturing as well. Digital control systems to automate process controls, operator tools and service information systems to optimize plant safety and security are within the purview of the IoT. While connectivity and data acquisition are imperative for IIoT, they should not be the purpose, rather the foundation and path to something bigger.
Among all the technologies, predictive maintenance is probably a relatively “easier win” since it is applicable to existing assets and management systems. The objective of intelligent maintenance systems is to reduce unexpected downtime and increase productivity. University of Cincinnati on a band saw machine in IMTS 2014 in Chicago. There are numerous IoT applications in farming, such as collecting data on temperature, rainfall, humidity, wind speed, pest infestation, soil content. This data can be used to automate farming techniques, take informed decisions to improve quality and quantity, minimize risk and waste, and reduce effort required to manage crops. The possible means of real-time monitoring for reducing energy consumption and monitoring occupant behaviors. The integration of smart devices in the built environment and how they might be used in future applications.