Whats is the industrial internet of things(IIoT)?
Industrial Internet of things
The Industrial Internet of Things (abbreviated as IIoT) refers to the seamless integration of IoT technology and data with industrial processes and manufacturing. The objective is to optimize automation, productivity, and efficiency, by utilizing comprehensive perception, self-organization and self-maintenance, reliable transmission and intelligent processing. As a result, IIoT has extensive applications that extend to numerous fields such as intelligent transportation, smart factories, smart grids, and intelligent environment detection.
The Industrial Internet of Things, also known as Industry 4.0 or Industrial Internet, is a cutting-edge industrial technology that leverages data collection and remote monitoring to bolster manufacturing production and work management efficiency. . It uses the capabilities of Internet of Things devices and data collection and computing to achieve "dialogue" with machine equipment. Its automated and intelligent features make it naturally highly compatible with the field of industrial automation.
By acquiring real-time data, it facilitates quicker remote management and maintenance of equipment, thereby saving processing time and costs. It also provides an easy and intelligent office scene and has wide applications in intelligent manufacturing, smart environmental protection, and energy pipe networks. In practical industrial applications, the Industrial Internet of Things is key to optimizing production processes, supply chain traceability, quality management and predictive maintenance. Industrial fiber switches can help achieve these objectives to a great extent.
How does IIoT work?
Industrial IoT is a subcategory of IoT where enterprises are redefining how they connect, monitor, analyze and act on industrial data to reduce costs and drive growth. By leveraging data from "dumb devices" in industrial facilities, this technology is driving growth and reducing costs.With the help of smart machines on assembly lines, companies can capture, analyze, and communicate crucial information faster, leading to more accurate and informed business decisions. The Industrial IoT represents a powerful shift toward greater efficiency, productivity, and profitability for industrial enterprises.
The convergence of information technology (IT) and operational technology (OT) is fueling the growth of the Industrial Internet of Things (IIoT). This network matrix interconnects various devices, gathers vast amounts of data through highly sensitive sensor technology, and analyzes it. Ultimately, the analyzed data is integrated into the platform to be utilized as a service. With its myriad applications, the IIoT is poised to revolutionize industrial use cases, spawn numerous opportunities for economic growth.
Industrial IoT collects vast amounts of field data from the factory floor, transmits it through connected nodes, analyzes it on servers, and transforms the information into actionable insights on cloud platforms. This encourages businesses to make better decisions for their specific markets and target audiences. In other words, the Industrial IoT is a system that connects edge devices such as actuators, sensors, controllers, connected switches, gateways, and industrial personal computers (IPCs) to the cloud.
Industrial IoT collects vast amounts of field data from the factory floor, transmits it through connected nodes, analyzes it on servers, and transforms the information into actionable insights on cloud platforms. This encourages businesses to make better decisions for their specific markets and target audiences. In other words, the Industrial IoT is a system that connects edge devices such as actuators, sensors, controllers, connected switches, gateways, and industrial personal computers (IPCs) to the cloud.
Main features of IIoT
The Industrial Internet of Things (IIoT) is an integration of industrial automation and informatization, unlocking the full potential of machinery and personnel in enterprises, leading to a substantial increase in production efficiency. Its characteristics mainly include the following aspects:
Firstly, the Industrial Internet of Things uses radio frequency identification technology, sensors, QR codes and other technologies to obtain information and data at all stages of the product from the production process to sales to end-user use. Traditional industrial automation system information collection only exists for production quality inspection, and enterprise informatization does not pay much attention to the specific production process.
Secondly, the Industrial Internet of Things is a way to connect a dedicated network to the Internet to accurately transmit device information in real time. It has a strong dependence on the network and pays more attention to data interaction than traditional industrial automation information systems.
Thirdly, the Industrial Internet of Things uses intelligent technologies such as cloud computing, cloud storage, fuzzy identification and neural networks to analyze and process data and information, and combines big data to deeply explore the value of data.
Finally, a fully functional industrial IoT system should have self-organization and self-maintenance functions. Each node must provide the entire system with information and decision-making data obtained by its own processing. Once a node fails or the data becomes abnormal or changes, the entire system must be fully interconnected.
The advantages of IIoT
First of all, the biggest advantage of Industrial IoT is its ability to help companies automate their operations to maximize operational efficiency. In addition, physical equipment can be connected to software solutions through sensors to continuously monitor performance. This allows businesses to better understand the operational efficiency of specific equipment and the entire fleet. In addition, the Industrial IoT enables data-driven decision-making and remote monitoring of all production processes.
And by increasing equipment usage, organizations with IoT manufacturing processes may increase their productivity. As mentioned earlier, network devices provide a continuous stream of data that can provide insight into how the device is operating. This increases the overall efficiency of the equipment, maximizing machine performance during runtime. In addition, the use of industrial IoT devices also improves the utilization of human capital. Smart devices can be used to perform menial, repetitive and dangerous activities, freeing employees to perform other, more strategic, production-related tasks.
Then, predictive maintenance is a strategy that avoids asset failure by analyzing production data to discover patterns and predict impending problems. The integration of industrial iot sensors into industrial devices allows for state-based management notifications. These sensors record the temperature, humidity and other environmental variables in the working area, as well as the composition of materials and the impact that transportation factors have or may have on transportation. All this data is useful for predictive maintenance. As a result, asset failures are avoided, expenses are reduced, and machine downtime is minimized.
Last but not least, Industrial IoT can help improve field service delivery. It is determined by aspects such as time, context, and technician involvement in specific service operations. Industrial IoT also allows real-time data visibility. This means original equipment manufacturers (OEMs), end consumers and any other interested parties understand the risks and difficulties that arise, resulting in a positive experience.
Conclusion
The Industrial Internet of Things is still an important part of the development of informatization. my country has successively issued policies to explore the ecological construction of the Industrial Internet of Things industry chain. In layman's terms, the Industrial Internet of Things refers to smart industry, which continuously integrates various collection and control sensors with sensing and monitoring capabilities, as well as mobile communications, intelligent analysis and other technologies into all aspects of the industrial production process, thereby greatly increasing manufacturing efficiency and improving product quality. , reduce product costs and resource consumption, and eventually replace traditional industries.