Industry 4.0: Robotic vacuum cleaner

Industry 4.0: Robotic vacuum cleaner

Industrial Internet of Things (IIoT)

The industrial internet of Things (IIoT) states to connected instruments, sensors, and other devices interacted together with computers' industrial applications, including manufacturing and energy management. This interconnection permits for data collection, exchange, and analysis, possibly easing developments in productivity and efficiency as well as other economic benefits.

Technologies empowered by IIoT

The technologies which empowered IIoT are included: Cyber-physical system, cloud computing, edge computing, machine-to-machine, 3D-printing, robotics, Big Data, Artificial intelligence and machine learning.

Layered modular architecture

The IIoT systems are commonly perceived as a layered modular architecture of digital technology. The Content layer consists of User interface devices for example screens, tablets, smart glasses. The service layer refers to the applications, software to analyze data and transform it into information. The Network layer comprises on communications protocols, WiFi and cloud computing. Final layer called Device layer consists on Hardware: CPS, machines and sensors.

Frameworks and standards

The Internet of Things frameworks benefit provision the communication between objects and consent for more complex structures like distributed computing and the development of distributed applications.

MQTT

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 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.

Kafka

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 building real-time data pipe lines and streaming apps. It is horizontally scalable, fault-tolerant, wicked fast, and runs in production in thousands of companies

IBM

IBM has announced cognitive IoT, which mixes traditional IoT with machine intelligence and learning, contextual information, industry-specific models and natural language processing.

Node-RED

This is open source software designed by IBM to connect APIs, hardware, and online services.

OPC

This is a series of standards designed by the OPC Foundation to connect computer systems to automated devices.

Benefits of IIoT

• Efficient and cost-effective production.

• Likely of growth by implementing IIoT is predicted to generate $15 trillion of global GDP by 2030.

• Technical Optimization

• Reduced Wastage

• Better Business Decision

Applications

Car manufacturing:

Use of IIoT in Automotive industry indicates the digitalization of all elements of production. Customization of vehicles is additionally enabled by IIoT thanks to the modularity and connectivity of this technology. IIoT makes conceivable to connect production plants to each other for automotive manufacturers companies.

Oil and gas industry?

Big volumes of raw data can 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 power to attach machines, devices, sensors, and other people through interconnectivity, which can help companies’ better address fluctuations in demand and pricing, address cyber security, and minimize environmental impact with the help of IIoT technologies. The IIoT can progress the maintenance process, the overall safety, and connectivity. Drones may be used to detect oil & gas leak and to identify weak spots in complex networks of pipelines with built-in thermal imaging systems.

Agriculture

The IIoT benefits farmers to make decisions about when to harvest. Sensors collect data about soil and weather conditions and propose schedules for fertilizing and irrigating. 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

Robotic vacuum cleaner has intelligent programming and a limited vacuum floor cleaning system. The unique design included manual operation via remote control and a "self-drive" mode which is suitable for machine to clean freely without human control. Some designs use spinning brushes to succeed in tight corners, and few include variety of cleaning features alongside the vacuuming feature. Robotic vacuum cleaners are more suitable to use because they can vacuum on their own as compare to a regular vacuum cleaner. There handling is also very easy as they can be kept under beds or desks or in storerooms.

Main features of robotic vacuum cleaner

• A fully autonomous robot vacuum cleaner which can navigate inside any building using IIOT sensors & AI technologies.

• The robot can be configured using a tablet PC.

• In 2015, Dyson and iRobot together familiarized camera based mapping.

• CEO iRobot Corporation of America claimed that 20% of vacuum cleaners sales worldwide were robots in 2016.

Cleaning modes?

Generally, robotic vacuum has following different types of cleaning modes;

Auto: This mode is helpful for general cleaning. Usually, the mode cleans an area until the battery runs out.

Spot: with the assistance of this mode, the vacuum specializes in a specific dirty area.

Turbo: This mode is employed to wash and devour the foremost dirt and mud, but it’s going to create noise.

Edge: This mode helps to clean edges & corners.

Quiet: The mode helps to reduce noise levels while cleaning. It's helpful when you are at home.

Remote control: It allows the user to regulate the direction of the vacuum.

Wet cleaning

Some models may also mop for wet cleaning, autonomously vacuuming and wet-mopping a floor in one pass (sweep and mop combo). A Robot Wipe can tackle 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 score better on hard floors surface and are ideally suited for hardwood, laminate and tile flooring types.

Mapping

The refined models include mapping ability. The unit can use 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 updated with information on areas which 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.

Mansoor Ahmed Chemical Engineer,Web developer