Industrial Internet of Things (IIoT)
The industrial internet of Things (IIoT) refers to inter-connected instruments, sensors, and other devices that interacted together with computers’ industrial applications, including manufacturing and energy management. This interconnection permits for exchange, data collection, and analysis, possibly easing developments in productivity and efficiency as well as other economic benefits.
Technologies empowered by IIoT
IIoT empowering technologies are included: Cyber-physical systems, cloud computing, edge computing, machine-to-machine, 3D printing, robotics, Big Data, Artificial intelligence, and machine learning.
Layered modular architecture
The IIoT systems are generally believed as a layered modular architecture of digital technology. The Content layer included the User interface devices for example screens, tablets, smart glasses. The service layer describes the applications, software to analyze data and transform it into information. The Network layer depends on communications protocols, WiFi, and cloud computing. The final layer known as the Device layer consists of Hardware: CPS, machines, and sensors.
Frameworks and standards
The Internet of Things frameworks benefits the provision of the communication between objects and consent for more complex structures like distributed computing and the development of distributed applications.
The MQTT may be a publish/subscribe protocol particularly suited to IoT applications because of thanks to its small footprint, real-time guarantees, and suitability to be used in high-latency, low-throughput, and unreliable networks. It is designed and developed for connections with remote locations where a “small code footprint” is restricted or the network bandwidth is limited. The publish-subscribe messaging pattern requires a message broker.
It is based on a publish/subscribe model, Kafka is one among the foremost widely used platforms to process and distribute real-time data streams. It is used for making real-time data pipelines and streaming apps. It is fault-tolerant, scalable, wicked fast, and runs in producing thousands of companies.
IBM has described the cognitive IoT, which joins the traditional IoT with machine intelligence and learning, contextual information, industry-specific models, and natural language processing.
Node-RED is open source software designed by IBM to connect APIs, hardware, and online services.
This is a continuous row of standards designed by the OPC Foundation to connect computer systems to automated devices.
Benefits of IIoT
- Efficient and cost-effective production.
- The growth alike by implementing IIoT is predicted to generate $15 trillion of global GDP by 2030.
- Technical Optimization
- Reduced Wastage
- Better Business Decision
The automotive industry indicates the digitization of all elements of production to use the IIoT. Additionally enabled the customization of cars by IIoT thanks to the modularity and connectivity of this technology. IIoT prepared conceivable to connect production plants to each other for automotive manufacturers companies.
Oil and gas industry
Huge volumes of raw data may be stored and sent by the drilling gear and research stations for cloud storage and analysis with the care of IIoT. The oil and gas industry has the energy to attach machines, devices, sensors, and other people through inter-connectivity, which can help companies better address fluctuations in address cyber security, demand, and pricing, and minimize environmental impact with the help of IIoT technologies. The IIoT may betterment the maintenance process, the overall safety, and connectivity. Drones may be kept to detect oil & gas leaks and to identify weak spots in complex networks of pipelines with built-in thermal imaging systems.
The IIoT makes an advantage for farmers to make decisions about when to harvest. The sensors gathered data about soil and weather conditions and propose schedules for fertilizing and irrigating. The microchips into animals are being implanted by some livestock farms to trace their animals and pull up information about the lineage, weight, or health.
Robot Vacuum Cleaner Using IIOT & AI Technologies
The robotic vacuum cleaner has great programming and a limited vacuum floor cleaning system. The outstanding design depends on manual operation via remote control and a “self-drive” mode which is suitable for machines to clean freely without human control. Few designs use spinning brushes to succeed in tight corners, and few include a variety of cleaning features alongside the vacuuming feature. Robotic vacuum cleaners are more useful and suitable to use because they can vacuum on their own as compare to a regular vacuum cleaner. Their handling and maintenance are also very easy as they may be kept under beds or desks or in storerooms.
Main features of robotic vacuum cleaner
- The wholly autonomous robot vacuum cleaner can navigate inside any building using IIOT sensors & AI technologies.
- Using a tablet PC the robot can be configured.
- Dyson and iRobot together familiarized camera-based mapping in 2015.
- CEO iRobot Corporation of America claimed that 20% of vacuum cleaners sales worldwide were robots in 2016.
Robotic vacuum generally has following different types of cleaning modes;
Auto: This mode is helpful for general cleaning. The mode usually cleans an area until the battery runs out.
Spot: The vacuum specializes in a specific dirty area with the assistance of this model.
Turbo: This mode is used to wash and devour the foremost dirt and mud, but it’s going to create noise.
Edge: Edge mode provides help to clean edges & corners.
Quiet: This mode helps to decrease noise levels while cleaning. It’s helpful when you are at home.
Remote control: It permits the user to regulate the direction of the vacuum.
Few models may also mop for wet cleaning, autonomously vacuuming, and wet-mopping a floor in one pass (sweep and mop combo). A Robot Wipe may handle multi surfaces and comes with a spread of various variety cleaning modes giving you options of sweeping, vacuuming, and mopping damp or wet floors. The Robot Mop has score fine on hard floors surface and is ideally suited for hardwood, laminate, and tile flooring types.
The refined models include mapping ability. The unit may give gyro, camera, radar, and laser (laser distance sensor or LDS) guided systems to create a floor plan, which can be permanently stored for more efficiency and equipped with information on areas that are (or have not been) cleaned. Thus, the cleaning efficiency is greatly improved and therefore the repetition rate is reduced significantly. Models with a multiple floor plan feature can store numerous floor plans.