The Industrial IoT uses sensors to collect data, hoping to speed up processes, gain efficiencies, and ultimately reduce the overall cost of a product or service. In many ways, this is similar to other types of IoT, but the deployment of industrial IoT is completely different in several ways.
The term IoT is used to describe the practice of connecting everyday objects into a network that is designed to collect and analyze data to streamline processes and automate processes. But once you start designing a specific IoT project, you will begin to realize that the benefits and challenges of the IoT are very different, depending on the specific goals. If you design an IoT project for an industrial environment, the difference is even more obvious.
The Industrial IoT uses sensors to collect data, hoping to speed up processes, gain efficiencies, and ultimately reduce the overall cost of a product or service. In many ways, this is similar to other types of IoT, but the deployment of industrial IoT is completely different in several ways.
The first is the fact that in terms of the physical environment of industrial networking equipment, one implementation may be quite different from another. Plants, workshops, mines and substations that have been in operation for many years may not be needed to balance the Internet of Things. Designed for sensitive sensor devices. This means that sensors need to be installed in unsatisfactory conditions such as HVAC, ventilation or power supply.
Second, while technology is indeed part of most industrial operations today, the hardware, software, and protocols used are quite different from those we used at the corporate or consumer level. At the enterprise level, we often deal with agreements that are strongly advocated by organizations such as IEEE and ITU. However, it is this type of standards organization that promotes manufacturing agreements and platforms: the Manufacturing Enterprise Solutions Agreement (MESA) and the International Electrotechnical Commission (IEC). Thus, one of the main challenges facing the Industrial Internet of Things is to address this aspect: transferring data from industrial systems using their own unique application platforms and standard protocols to enterprise systems.
Take a look at the eight key points to consider before you start an industrial IoT project.
Data collection and analysisWhile almost all IoT projects need to collect and analyze big data, each deployed Industrial IoT has unique characteristics. Data types, collection methods, and analysis may rely on sensors and software deployed in highly complex, customized machines. These sensors may be deployed in different locations, locally, regionally or globally. Regardless of size, the IoT for each deployment will be different in terms of what data is collected, how it is collected, and why it is collected.
Challenging environmentFrom a physical perspective, some industrial IoT deployments are easy. If you are lucky, you can deploy the sensor to a fully controlled climate facility. However, in many cases, where sensors and other sensitive network equipment need to be deployed, the environment is harsh, including high temperatures, severe cold, and poor ventilation. Clean energy is also an important aspect to focus on. In many cases, the Industrial Internet of Things requires rugged IoT sensors and network hardware to withstand this type of physical environment challenge.
QCOne of the major differences between the Industrial Internet of Things and other types of IoT is that the data collected for the Industrial IoT is mostly used to automate quality control processes. For most types of industrial products, including raw materials, agriculture and construction, quality control is an important aspect. However, the type and method of collection of quality control data collected is highly dependent on the specific vertical industry.
energy efficiencyAnother driver for implementing the Industrial Internet of Things is to explore energy efficiency and automate it through numerous methods. This may require the implementation of smart sensors into HVAC and lighting systems in manufacturing plants, collecting data generated by sensors, implementing artificial intelligence into plant equipment, allowing equipment to operate optimally, and identifying areas. Energy efficiency can be improved by upgrading and updating certain parts of the plant. The application prospects in this regard are almost limitless.
Improve supply chain visibilityAs everyone knows, before becoming CEO of Apple, Tim Cook is a master in manufacturing supply chain. No matter which industry you work in, improving the supply chain process is critical. But finding out what can be improved in the supply chain is easier said than done. Many supply chain processes are computerized, but there are inherent digital islands. This leads to blind spots in the supply chain, which ultimately leads to higher costs. Many industrial IoT projects are designed to provide end-to-end supply chain visibility.
Retrofit equipmentIn many cases, industrial IoT projects require the use of IoT sensors to retrofit industrial equipment. This will include many equipment such as manufacturing equipment, forklifts and storage containers. While a few industrial IoT projects may be installed in new venues and use new equipment, most projects need to be updated with existing processes and tools to bring them into the IoT environment.
Industry-specific applications and protocolsIf you have never been exposed to industrial IT before, you may have never heard of protocols such as OPC, MQTT DDS or AMQP, and have not been exposed to applications based on SCADA and MES platforms. All of these and many more are common applications and protocols used in industrial IT environments. Therefore, the challenge is to connect these industrial devices and platforms with enterprise-level application software and data storage mechanisms.
Combine industrial IT with enterprise ITAlthough industrial IT has existed for quite some time, in many cases, the “factory†and “enterprise†parts of the IT field operate independently of each other. For example, even if the manufacturing equipment is connected to the network, the network may have been originally built as a closed system and has no connection with the corporate network. But in the case of the Industrial Internet of Things, the two teams must work together as a department. This can be difficult because the process, technology, and security mechanisms between the two teams are different. Fortunately, organizations such as the Industrial Internet Alliance (IIC) are developing a framework to help fill this gap.
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