Difference between IoT and IIoT
The distinctions between IoT and IIoT technologies are becoming blurry. To monitor and manage physical objects and operational applications, modern active technology applications use IIoT networks. Data aggregation from numerous sources, such as physical sensors, databases, and remote gateways, is one example of the Internet of Things. Data collection and analysis in operational technology systems used to be primarily a manual procedure, but IIoT software now automates the process.

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How does IIoT technology work?
Protocols and Standards
The IIoT is a subdivision of the IoT that focuses on industrial applications. Basic standards and protocols are comparable in the IIoT and IoT. IIoT standards and protocols are tailored for industrial use.
A network has three primary layers; the physical layer, which comprises sensors and physical devices; the network layer, which includes the IoT or IIoT gateway; and the application layer, which distributes data, make up a network. Specialized protocols and standards govern components in various layers, such as infrastructure (IPv4/IPv6), communications (Wi-Fi, Bluetooth), data (MQTT, CoAP), devices (TR-069), and security.
Cellular, Wi-Fi, LoRaWAN, Zigbee, and Bluetooth are the five primary forms of communication and networking protocols used by networks.
Communication signal ranges can be relatively broad. The range variance is determined mainly by the presence of impediments between the signal and the device and the protocol utilized.
Cellular technologies have a range of 20-125 miles. Wi-Fi allows you to transport data quickly across shorter distances of 150-300 feet. Zigbee is primarily utilized in industrial settings. With a 30–350 feet range, it is a low-power, low-data-transmission network. For IoT applications, Bluetooth uses the Bluetooth Low-Energy or Bluetooth Smart protocol. For example, LoRaWAN can accommodate millions of low-power connected devices in an intelligent city system. Its range is 2-15 kilometers.
Device Management
Verifying the authenticity of enrolled devices, reconfiguring new devices, diagnosing software bugs, resetting decommissioned devices and updating software, operational anomalies, suggesting maintenance schedules, and monitoring data usage and uptime are some of the basic IIoT device management tasks.
Context-aware functionalities in traditional device management solutions are the latest trend in device management. Context-aware recommender systems assist users in deciding how to utilize their gadgets in various settings. For example, when a device requires location information to function. When a device is incapable of using GPS, it will enter a specified state — in this case, one that requires GPS functioning – to notify users that it cannot perform as intended.
Networking and Connectivity
Limiting data usage, slowing data where appropriate, providing usage metrics and warnings, personalizing content, safeguarding material, restricting access to business-critical information, and allowing unique features depending on roles are some of the duties of device connectivity and network management.
IoT, IIoT, and sensor devices all connect via a gateway, which allows them to transfer data via a network, either device-to-device or device-to-cloud. A smartphone, smartwatch, manufacturing robot, and heart pacemaker all have distinct ways of communicating. The gateway allows devices that utilize various protocols to communicate with one another. A gateway can also shorten the range over which a sensor must communicate by sending sensor data directly to a device beyond the sensor's close range.
Security
The World Economic Forum developed the IIoT Safety and Security Protocol to address IIoT security concerns. In the United States, the North American Electric Reliability Corporation (NERC) defines cybersecurity requirements for power systems and providers, while the National Institute of Standards and Technology (NIST) provides rules for safeguarding industrial control systems. The Chemical Facility Anti-Terrorism Standards (CFATS) establishes security standards for high-risk IIoT systems, such as those found in chemical plants and refineries.
Applications of IIoT
The IIoT is used by utility firms and mission-critical systems to manage outages and identify high resource demands, such as electrical grids and nuclear power plants. IIoT technology can increase resource distribution reliability. IIoT analytics software detects defects, notifies firms of outages, and recommends remedies.
IIoT applications are used by fleet management companies to track vehicles, supplies, drivers, and workflow efficiency. IIoT tracking improves operational efficiency and allows for remote worker support.

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In the agriculture industry, IIoT's analytic and predictive capabilities assist farmers in making educated harvesting decisions. IIoT sensors collect information about soil and weather conditions and recommend fertilizing and irrigation schedules based on that information. Embedded computer chips keep track of livestock's health and location.
Check out this article - Components Of IOT
Frequently Asked Questions
What are examples of IIoT?
Computers, sensors, and machines used in manufacturing, agriculture, and mission-critical applications are some examples of IIoT devices.
What are the advantages of IIoT?
IIoT increases productivity and uptime. It also improves process efficiencies and accelerates innovation.
What are the disadvantages of IIoT?
One of the significant disadvantages of IIoT is cybersecurity risks. More connected devices can mean more points for malicious actors to infiltrate your network.
Conclusion
In this article, we have extensively discussed IIoT and the working of IIoT. We hope that this blog has helped you enhance your knowledge regarding IIoT and if you would like to learn more, check out our articles here. Do upvote our blog to help other ninjas grow. Happy Coding!
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