Tuesday, 7 April 2020

VAST APPLICATIONS OF IoT AND ITS NECESSITY

VAST APPLICATIONS OF IOT AND ITS NECESSITY

In recent times it’s become pretty obvious that any electronics product should have some automation features or you can say it as easy to control features . Now it is true that this feature reduces our daily effort to its minimum extent and in some cases it is also helpful for low power consumption.Now the question is why this technology (IOT) became so popular . Let's try to find a few answers.Although the term Internet of things was introduced in the late 1990 but even a decade ago we could not believe that IOT can do such amazing things in every possible field of our daily life. Few years ago which was our daydream ,Now by the tremendous efforts of so many technologists it has come into existence. IOT is so popular today because of its relationship with open source ,big data, security and privacy and software defined networking(SDN).


DEVELOPMENT OF SEVERAL MICROCONTROLLER BOARD AND EASY TO USE MODULES : 
At the very beginning it was very tough to build any project in the field of IOT, but later it became comfortable and easy to deal with because several companies and developers came up with some of the most beautiful boards with so many features.Few of these boards was easy to programme and was also easy to connect with different electronics modules and components. Now it's easy for developers to connect with any system they want .Microcontroller  boards such as ARDUINO,ESP,RASPBERRY PI are some of the most popular boards used in these platforms.Now so many companies and individual developer trying to develop their own board as per their necessity.
                                                Differnt microcontroller boards.

.The IoT is based on complements  or extends other highly influential technological trends that shape the way we compute today.those trends include:


BIG DATA: The iot works with big data to take it a whole new level. IOT relies on data-based logic in order to perform many of their smart functions. As an example you can take your iot based AC machine,it collects data from your room and then runs analytics based on  the data it collected along with external information like external weather reports to predict how much cooling is needed at that exact moment.


SOFTWARE DEFINED NETWORK(SDN):software defined networking is a network architecture that enables the network to be intelligently and centrally controlled or ‘programmed’ using software applications.This helps operators to manage their entire network consistently and holistically, regardless of the underlying network technology.
SDN and IOT go hand-in-hand ,while the IoT provides new use cases for SDN. 


OPEN SOURCE: open source plays a  key role for IoT. Open source makes it possible for devices from different vendors to communicate. Some iot devices are even hackable or you can say it is designed to be hackable by users in a way that extends the open source software concept to include the open source hardware. 


SAFETY AND SECURITY: controlling and monitoring workplaces in real time becomes excessively easy with the iot services.so its increases the amount of safety and security.IOT devices raise huge new security challenges ,especially when it comes to things like critical infrastructure .But they also offer ways to help keep users  more secure by adding extra barriers of defense to data and persons.


COMPONENTS TO BUILD HOME AUTOMATION :


  1. IoT Sensors
  2. IoT Protocols
  3. IoT Gateways
  4. IoT  Firmware
  5. IoT Database and Cloud
  6. IoT Middleware
There are thousand iot sensors and hundreds of iot gateways as well which are involved in home automation. IoT firmwares are basically written in C,Python,Node.Js,or any other programming language
Iot services can be divided as  1.platform as a service(PaaS)
                                                  2.Infrastructure as a service(LaaS) 
Popular PaaS are:
  1. AWS IOT
  2. THINGWORX
  3.  AZURE IOT
  4. UBIDOTS
  5. THINGSPEAK
  6. CARRIOTS
  7. KONEKT
  8. IBM BLUEMIX
  9. CARRIOTS 
Etc.
Some of the most popular IOT sensors for home automation:
1.ultrasonic sensors
2.temperature sensors
3. Water level sensors
4.IR sensors
5.vibration sensors 
6.pressure sensors
7.motion detection sensors
8.Humidity Sensors etc.
There are so many sensors and sensors modules are available in the market you have to use it as per your necessity.


NEED OR GREED, A SYNOPSIS


If you want to know if is it need or it is a greed then frankly it's a need


APPLICATION IN HOME APPLIANCES: Starting from light ,fan ,AC controlling to lawn and gardening management everything is now under the control of iot. Basically a specific module is used to control over the home appliances called ‘HOME AUTOMATION’. Rebuilding consumer expectations, home automation has been projected to target wide array applications for the new digital consumer.Some of the areas where  consumers can expect to see home automation led IOT-enabled connectivity are:


1. Lighting Control
2. AC control
3. Smart  Door lock unlock 
4. Home air quality and water quality monitoring etc. 
The list is still not ending  and will evolve over the time to accommodate new IoT use cases.

Current smart wearable devices include:  Head – Helmets, glasses  Neck – Jewelry, collars Arm – Watches, wristbands, rings  Torso – Clothing, backpacks Feet – Socks, shoes



Standard Devices The desktop, tablet, and cellphone remain integral parts of IoT as the command center and remotes.  The desktop provides the user with the highest level of control over the system and its settings. The tablet provides access to the key features of the system in a way resembling the desktop, and also acts as a remote.  The cell phone allows some essential settings modification and also provides remote functionality. Other key connected devices include standard network devices like routers and switches


IoT software addresses its key areas of networking and action through platforms, embedded systems, partner systems, and middleware. These individual and master applications are responsible for data collection, device integration, real-time analytics, and application and process extension within the IoT network. They exploit integration with critical business systems (e.g., ordering systems, robotics, scheduling, and more) in the execution of related tasks
. Data Collection: This software manages sensing, measurements, light data filtering, light data security, and aggregation of data. It uses certain protocols to aid sensors in connecting with real-time, machine-to-machine networks. Then it collects data from multiple devices and distributes it in accordance with settings. It also works in reverse by distributing data over devices. The system eventually transmits all collected data to a central server.
 Device Integration: Software supporting integration binds (dependent relationships) all system devices to create the body of the IoT system. It ensures the necessary cooperation and stable networking between devices. These applications are the defining software technology of the IoT network because without them, it is not an IoT system. They manage the various applications, protocols, and limitations of each device to allow communication.
Real-Time Analytics: These applications take data or input from various devices and convert it into viable actions or clear patterns for human analysis. They analyze information based on various settings and designs in order to perform automation-related tasks or provide the data required by industry.
 Application and Process Extension: These applications extend the reach of existing systems and software to allow a wider, more effective system. They integrate predefined devices for specific purposes such as allowing certain mobile devices or engineering instruments access. It supports improved productivity and more accurate data collection.



  







APPLICATION OF IOT IN MEDICAL SCIENCES AND HEALTH MANAGEMENT :
Over the past year IOT has been influencing to automate some of the most important equipment used in medical sciences.Starting from ECG,EEG to MRI and many more can deliver live data from the remotest places through the internet. Surgeons are now also using IoT enabled robots to do critical surgery even from a wide range of distance . And there are many more applications of iot in the field of medical sciences.IoT pushes us towards our imagined future of medicine which exploits a highly integrated network of sophisticated medical devices. Today, IoT can dramatically enhance medical research, devices, care, and emergency care. The integration of all elements provides more accuracy, more attention to detail, faster reactions to events, and constant improvement while reducing the typical overhead of medical research and organizations.


Marketing and Content Delivery : IoT functions in a similar and deeper way to current technology, analytics, and big data. Existing technology collects specific data to produce related metrics and patterns over time, however, that data often lacks depth and accuracy. IoT improves this by observing more behaviors and analyzing them differently.  This leads to more information and detail, which delivers more reliable metrics and patterns. It allows organizations to better analyze and respond to customer needs or preferences. It improves business productivity and strategy, and improves the consumer experience by only delivering relevant content and solutions.


Air and Water Pollution: Current monitoring technology for air and water safety primarily uses manual labor along with advanced instruments, and lab processing. IoT improves on this technology by reducing the need for human labor, allowing frequent sampling, increasing the range of sampling and monitoring, allowing sophisticated testing on-site, and binding response efforts to detection systems. This allows us to prevent substantial contamination and related disasters. 


Extreme Weather:Though powerful, advanced systems currently in use allow deep monitoring, they suffer from using broad instruments, such as radar and satellites, rather than more granular solutions. Their instruments for smaller details lack the same accurate targeting of stronger technology. New IoT advances promise more fine-grained data, better accuracy, and flexibility. Effective forecasting requires high detail and flexibility in range, instrument type, and deployment. This allows early detection and early responses to prevent loss of life and property. 
Commercial Farming :Today's sophisticated commercial farms have exploited advanced technology and biotechnology for quite some time, however, IoT introduces more access to deeper automation and analysis. etc

In near future we will see more application of IoT for the welfare of humanity.