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Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of AiSPRY and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 18+ years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.
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The idea of IoT (Internet of Things) is more well-known than ever these days. IoT enables our everyday physical objects to become intelligent and linked. The "things" in the Internet of Things (IoT) might be little home appliances or massive industrial machinery. These "things" collect data from their surroundings or from any item, process it, and then transmit it to other devices or a local or remote server. Through the interconnection of devices, monotonous repetitive tasks are eliminated. In addition, by analysing data from these IoT-connected "smart things," we can gain a greater understanding of the world in which objects monitor and respond to changing conditions without the need for human intervention. Now, let's look at its definition.
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Internet of Things (IoT), is about internetworking of physical devices that have – sensors, electronics, and communication interfaces embedded in them and further connecting billions of such devices to the internet. Devices using the internet can communicate, interact, and can be controlled remotely. Let’s understand this definition with an example of IoT intelligent transportation.
A freight firm made the decision to upgrade all of its trucks to smart, linked vehicles. This will assist them in keeping track of their fuel usage, delivery schedules, accident rates, maintenance expenses, and other factors that will ultimately lead to profits.
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They have added numerous sensors to their fleet management system to detect things like fuel level, temperature, tyre pressure, engine health statistics, and more. All of the sensor data is sent to the cloud via WI-FI, GPRS, and GPS modules. This sensor data is analysed to produce insights that increase road safety by warning drivers of impending routes, weather, pavements, speed, etc. By learning relevant information about commuters' tastes and behaviour, it can improve fleet management operations. By learning relevant information about commuter preferences and behaviour, it may improve fleet management operations. It also aids in reducing traffic and preventing accidents, and it functions as follows.
Fleet owners can access data in real-time generated by Sensors fitted in the vehicle like real-time location, tire pressure, speed, fuel levels, engine condition, and further analysis is done on this sensor data in real-time which helps Fleet owners to know about Driver’s behavior and can stop engine remotely if anything suspicious is recognized they can guide drivers by providing information about their driving quality, braking practices, speed compliance, etc.
All these data will be stored in databases for the in-depth analysis, which will give insights like an optimized route based on fuel consumption, on-time delivery, safety, etc.
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Smart and linked vehicles are more productive, efficient, and have a less environmental effect.
Connected vehicles reduce CO2 emissions by 75% annually compared to conventional trucks because they keep their engines running efficiently and prevent wasteful engine starts and stops. Additionally, cloud-based online applications or mobile applications that assist drivers based on their driving styles and weather alerts can minimise accidents by 25% annually, which are mostly caused by irresponsible driving and poor weather conditions. The fleet management system is made more effective and efficient by additional data on engine condition, breakdown warnings, and congestion updates.
Along with providing better insights into driver’s behavior, connected trucks allow you to monitor the health of vehicles with real-time alerts on battery, engine maintenance, inspection reminders, coolant temperature which helps to take preventive measures to keep vehicles safe and smooth for a longer period of time.
Smart IoT devices can monitor, regulate, and optimise a variety of industrial processes to raise production. By automating regular processes, IoT lowers labour expenses while simultaneously ensuring worker safety.
Thus, IoT by connecting objects, people, and environments, it becomes a strong value add to each organization. Some benefits of IoT system are as follows:
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The precise information from IoT smart sensors and endpoints can be used to improve existing processes. The large amount of data collected is used to examine patterns that will help to predict losses such as Breakdown of machinery, faults in the manufacturing process so that we can take necessary measures even before damage occurs.
Thanks to edge computing technologies, data can now be analysed on any on-premises device, even gateway devices. This makes maintenance intervention optimisation easier and offers an edge in market developments and strategic monitoring.
By Analyzing data through technologies like Artificial Intelligence, Machines and processes can make their own decisions. IoT makes it possible to reduce human errors.
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Businesses are keen on identifying technologies that will lead to innovation. According to the Gartner Survey below are some IoT trends that will drive business growth and innovation.
Using artificial intelligence, a machine may accomplish a list of tasks and learn from data. Devices in an IoT system helped by artificial intelligence (AI) may analyse data, make choices, and take action on the data without the need for human intervention.
Does IoT deployment have some key concerns - How secure are the devices? How data is used? Social, Legal, and Ethical issues of IoT have to be addressed and resolved for better Security and Privacy.
The concept of evaluating and accounting for data or information as an asset is called Infonomics and aggregation of data from different sources is called Data Broking.
Enterprise architecture (EA), application of business governance, and IT governance for the Internet of Things are all examples of IoT solution governance. The lifespan of IoT devices, data management for the IoT solution, and IoT applications inside an organisation are the main areas of attention for IoT governance. In order to achieve the specified business objectives, IoT governance outlines the adjustments to ideas and principles.
IoT Sensors need to consume low power, low cost for economical widespread deployment, compactness, and robustness, diagnostics, identification, validation, calibration has to be done by themselves with minimal maintenance requirements.
A critical component of an IoT system is trusted hardware and operating systems. IoT systems are not maintained like traditional computers; when they are set up, only a limited amount of user-side setup and adjustments are anticipated. Reliability, safety, efficiency, and productivity are therefore the main concerns for embedded systems, and particularly for industrial systems.
Networking is essential to the Internet of Things (IoT), but connecting IoT devices is different from connecting standard PCs, smartphones, and tablets. little Power Wide Area Networks (LPWANs), for example, have evolved to link devices with battery power and little computational power. Using LTE-M, NB-IoT, and LoRa technologies Due to its extended range (up to 1000 km), low energy consumption, and connectivity, practically all sensors are suitable for Internet of Things (IoT) applications that deliver sensor data that is small in size and doesn't require a lot of bandwidth. Real-time video and picture streaming over 5G is useful for surveillance, connected health, time-sensitive industrial automation, etc. While Zigbee and BLE are suitable for indoor and short-range Consumer IoT applications, respectively.
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The Internet of Things (IoT) concept has made it feasible to connect gadgets with the physical environment around them, from modest domestic appliances to massive industrial machinery. Due to its exposed devices and applications, IoT has drawn the attention of attackers.
Cyberattacks aimed at jeopardising the security and privacy of IoT devices are already taking place all around us. Due to inadequate security on IoT devices and apps, IoT devices are susceptible to such attacks. Attackers are abusing the sensors on IoT devices, sending false messages to or from devices, and causing networks to crash by flooding them with messages from a single infected device. By using just one such vulnerable device, attackers were able to infect and attack millions of IoT devices. They can do this to steal data, money, user identities, and other things. The correct security protocols, authentication, and permission must be used to safeguard data at IoT endpoints, gateways, networks, clouds, and apps.
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