The Internet of Things (IoT) has achieved disruptive transformation in consumer, business, agriculture, healthcare, manufacturing, and utilities to multiple segments such as government and cities. Industrial Internet of Things (IIoT) is a branch of the large-scale Internet of Things that focuses on industrial applications such as manufacturing, oil, gas, and utilities.
Although consumer IoT and Industrial Internet of Things (IIOT) share the same technologies (sensors, cloud platforms, networking, and analytics), their similarities are just that. This article highlights the characteristics of some industrial IoT networks that are different from consumer IoT. Product managers and buyers must consider these differences when planning industrial IoT solutions.
Industrial IoT is Different from 10 Features of Consumer Internet of Things
Although many people think that the main difference between consumer IoT and industrial IoT is in different functions, this is not the case. Consumer IoT devices may have the same functions as industrial IoT devices, but they are still not considered as industrial products.
For example, both consumer and industrial trackers collect and monitor heart rate information, but industrial trackers incorporate additional design parameters that some consumer devices do not have. The 10 characteristics of industrial IoT that are different from consumer IoT are as follows:
â—†Security
â—† Interoperability
â—†Extensible
â—† accuracy and accuracy
Programmable
â—† Low delay
â—† Reliability
Elasticity
â—† Automation
â—†Maintenable
As a product manager who introduces the first industrial solution or a consumer IoT solution for industrial use, it is important to understand these differences.
1, security
Security is critical to all IoT solutions, but industrial IoT solutions require stronger security measures. Loss of high-volume production interruptions can cause millions of dollars in damage every day. Grid failures will affect the economic activities of millions of people and endanger national security.
The industrial IoT solution management process employs advanced security measures such as a secure and flexible architecture, dedicated chipset, encryption and identity authentication, and threat detection to ensure system security.
2, interoperability
Industrial IoT solutions must co-exist with environments with a large number of traditional operating technologies (OTs), including SCADA, M2M, and other specialized manufacturing execution systems. These traditional operating systems will not disappear and industrial IoT solutions must integrate, support various protocols and data sets, and work reliably with these manufacturing systems. Equally important, industrial IoT solutions must integrate with back-office enterprise resource planning (ERP) systems.
3, scalable
Industrial networks are dedicated large-scale networks supporting thousands, or more, controllers, robots, machines, and other specialized applications. Industrial IoT solutions deployed in these networks must be seamlessly expanded from time to time to support tens of thousands of new sensors, devices and controllers as well as existing non-IoT devices. This support includes interoperability, scheduling, workflow integration, data collection, analysis, decision making, and integration with manufacturing and business execution systems.
4, accuracy and accuracy
Industrial operations require a higher level of accuracy and accuracy. Automated, high-volume, high-speed manufacturing processes are synchronized in milliseconds. The quality assurance system can detect small changes and take immediate corrective action based on these measurements. In this environment, "almost" does not work, resulting in decreased efficiency, increased downtime, and lost revenue. Industrial IoT solutions must support high-precision and accurate business “business as usual†operations.
5, programmable
From programmable logic controllers to machining equipment, it is often reprogrammed and reconfigured to support new process flows. This programming can be done onsite or remotely, and industrial IoT solutions that support industrial and manufacturing applications must provide the same flexibility and adaptability to support operations.
6, low delay
In high-speed continuous production systems, sensors monitor every aspect of the operation, every second is important, abnormalities must be detected in time, and corrective actions are initiated almost simultaneously. With regard to staff safety, product quality, cost and lost revenue, any delays in detection, evaluation, decision-making and enforcement will be costly. Industrial IoT solutions must meet the low latency requirements of some industrial applications.
7, reliability
Industrial systems will operate long before they are replaced. It is not uncommon for them to operate for 20 to 30 years. They work in harsh environments and are sometimes subjected to extreme heat, cold, high vibration, pressure and dust, and they may be far away from headquarters. Work in remote locations.
Industrial IoT solutions may be subject to the same conditions as the requirements, they must strengthen the hardware to support high availability, withstand high load cycles, and can reliably operate within tolerances, run day after day, only during maintenance. Will stop.
8, elasticity
Mission-critical industrial processes and systems do not allow outages (even service visits), so consider designing elastically when designing. A failure of one part of the system will not cause the entire system to stop operating. Although operational capabilities may be affected, alternative systems can replace this part of the functionality, or these processes may be replaced by other functions of the system.
In mission-critical operations, industrial IoT solutions must support fault-tolerant or resilient capabilities in their designs. From sensor failures to network failures, industrial IoT systems and architectures must be able to replace failures in use in a timely manner and still be able to satisfactorily complete their processes and operations.
9, automation
The entire process of many industrial processes is highly automated with no human intervention. IoT solutions that operate in an industrial environment need to support a range of autonomous requirements. This may require building intelligence into edge devices, combining the control and automation logic in the gateway, or incorporating deep learning capabilities into the system design. In addition, it must be programmable and integrated with traditional or new manufacturing execution systems.
10, can be maintained
Industrial systems often need to be reliably and predictably shipped for many years under harsh conditions, and supporting this level of performance requires regular maintenance from internal and field service technicians. IoT solutions that operate in an industrial environment must be maintainable to maintain the level of performance required, from the ability to replace sensors, update firmware, and configure gateways and servers to maintain industrial IoT solutions throughout their life cycle A basic requirement.
Key points
Functional differences are important, but not the only deciding factor in determining whether IoT solutions are "industry". The above ten factors must be considered. In fact, consumer IoT and industrial IoT solutions may all include all of these factors, but differ in what they implement and how they are implemented.
Industrial processes impose stringent requirements on IoT solutions. Product managers must consider these additional factors in engineering design. They must understand the specific usage scenarios and the environment in which the solutions will be put into operation.
Today's industrial IoT solutions are in the stage of continuous emergence and development. The industrial IoT solutions provided by suppliers may not meet the requirements of all industrial applications. Therefore, buyers of IoT solutions for industrial applications must ask some key points. Problems can only be found for your own industrial IoT solutions.
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