Overview of Mechatronics And IOT (Internet OF THINGS)
This center also acts as hub for various research activities related to Internet of Things and
next generation technologies. Mechatronics Center will act as an incubation center for
advance technologies in the Automotive electronics field and will provide the basic Automotive
E&E architecture platform on which students will be able to experiment, research and
innovate on the upcoming trends.
Mechatronics is an integration of interdisciplinary technologies mainly mechanical, electronics
and electrical. Today every industry is facing a challenge to integrate and automate many
features for any system, with mechatronics it is now easy to have simplified designs, rapid
machine setups, cost effectiveness, quick development trials, optimized performance,
productivity and reliability. The rise of IoT will soon bring the factory of the future to reality.
such as Thingworx platform which is the fastest way to unlock the value of the physical-digital
convergence of the IoT.
The Internet of Things (IoT) is a network of interconnected physical devices that communicate and exchange data with each other over the internet. These devices can range from everyday objects like household appliances to complex industrial machinery. The IoT architecture consists of multiple layers that work together to enable seamless connectivity and data flow. Let's explore the different layers:
IOT Layers
Perception Layer: This is the physical layer of the IoT, where the sensing and data acquisition devices reside. It includes various sensors, actuators, and embedded systems that interact with the physical environment and collect data. Examples include temperature sensors, motion detectors, and cameras.
Network Layer:The network layer handles the connectivity aspect of the IoT. It involves the communication protocols, network infrastructure, and gateways that enable devices to connect and exchange data. This layer ensures reliable and secure data transmission between devices and the cloud or other networks.
Middleware Layer: The middleware layer provides a bridge between the devices and the application layer. It consists of software components that handle data management, device discovery, security, and interoperability. Middleware enables seamless integration and communication among diverse devices and platforms.
Application Layer: This is the top layer of the IoT architecture, where data is processed, analyzed, and utilized to derive meaningful insights and trigger actions. It includes applications, services, and analytics platforms that leverage the data collected from devices. This layer enables various IoT use cases, such as smart homes, industrial automation, and healthcare monitoring.
Business Layer: Although not always explicitly defined, the business layer encompasses the strategic and operational aspects of IoT deployments. It involves business models, governance, and decision-making processes related to IoT initiatives. This layer considers the economic value, scalability, and sustainability of IoT solutions.
INTERNET OF THINGS
While the idea of IoT has been in existence for a long time, a collection of recent advances in a number of different technologies has made it practical.
Access to low-cost , low-power sensor technology. Affordable and reliable sensors are making IoT technology possible for more manufacturers.
Connectivity. A host of network protocols for the internet has made it easy to connect sensors to the cloud and to other “things” for efficient data transfer.
Cloud computing platforms. The increase in the availability of cloud platforms enables both businesses and consumers to access the infrastructure they need to scale up without actually having to manage it all.
Machine learning and analytics . With advances in machine learning and analytics, along with access to varied and vast amounts of data stored in the cloud, businesses can gather insights faster and more easily. The emergence of these allied technologies continues to push the boundaries of IoT and the data produced by IoT also feeds these technologies.
Conversational artificial intelligence (AI) . Advances in neural networks have brought natural-language processing (NLP) to IoT devices (such as digital personal assistants Alexa, Cortana, and Siri) and made them appealing, affordable, and viable for home use.
Job Roles:
• Mechatronics Engineer, IOT Engineer, IOT Developer, Mechatronics Technician, IOT
Technician, IOT Smart AgricultureTechnician.
Career Opportunities:
• Automotive Industries, Aerospace Engineering, Construction Equipment’s , Locomotive,
Industrial Heavy Machinery, Oil and Gas, Consumer Goods, Manufacturing Industries, IT
Industry, Electricals and Electronics etc.
| S.NO |
Admission Type |
Admission Criteria |
Condition |
|
1
|
Student Admission |
i) Students must be pursuing B.Tech 3rd/4th year in Engineering & Technology for B.Tech related courses
ii) Student must be pursuing Diploma/ ITI in respective branch for Admission in Diploma/ ITI related courses |
Students shall produce Bonafide Certificate form the concerned institution where he/she is enrolled |
| 2 |
Open Admission |
The candidate must possess Degree/ Diploma/ ITI The ca certificate in Engineering & Technology |
The candidate must submit M.Tech/B.Tech/Diploma/ITI completion certificate |
| 3 |
Sponsor Admission |
Industry sponsor candidate/ Faculty sponsored form other Letter institutions |
Letter from respective organization |
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