How to Automate and Integrate IIoT Systems
For industrial Organizations, the potential to communicate with physical equipment has never been simpler. Now we have the capability to acquire huge amounts of data from different sources in order to assemble significant business decisions. As developments in technology make it more cost-effective to utilize the Industrial Internet of Things (IIoT), companies will require accessing a strategic technique to integrate new sensor data with pre-existing data environments. According to Markets and Markets, the IIoT market is assumed to rise from USD 77.3 billion in 2020 to USD 110.6 billion by 2025.
Business processes, systems and digital devices can precisely assist the implementation of the Industrial Internet of Things. There are many ways for guiding future technology investments to make the integration of the existing systems simple with new controls and data processing to acquire the expected results.
To assure successful deployment of the Industrial IoT, industries can take advantage of adopting new network design infrastructures, containing building an authentic framework that helps collaborative work processes across functional lines and between internal as well as external resources.
Letās take a look at following benefit areas while considering new systems for the implementation of IIOT
Boost the Value and Capabilities
You require data engineering expertise to interpret how and when you’ll gain and process a huge amount of data. You also require data science expertise to interpret what data is needed to resolve certain problems. In addition to that, you require a business process understanding to interpret how you could utilize insights from analytics to make quick and better decisions. Utilize Big Data, Automation and Machine Learning technologies for making a strong system that can promptly, frequently and exactly uses, monitor and transfer data for further operations management with visualized dashboards.
Consider the Baseline
Consider various essential parameters such as data collection, assets, insights, real-time visibility and analytics to estimate the ability to recognize and forecasting various opportunities and issues. For example, look for relevant sensors and suitable instrumentation to make utilization of available options for data tracking.
Data Association
Many people believe that IIoT needs uninterrupted connectivity via a robust and feasible communications network. Look for a new and advanced way to consolidate data in the Cloud with new and evolving applications that can simply connect to a broad range of different systems. This can be achieved with high-level analytics application that has remote operating feature.Ā
Increase the Scalability
Make sure that youāre capable to scale IIoT system so you can easily put up new devices and manage increasing data loads without any issue. Users must be able to integrate information into actionable results, in a way that it incorporates existing processes and systems.
Using open communications and integration technologies that can support in connecting data from various sources on the way with intend to remove the qualitative value for making informed decisions.
Specify Teamwork
By using new and innovative automation tools and controls, find exclusive ways on how to describe possible ways by which functional groups can work together. This process also includes searching for innovative tools and methods that will allow smart collaboration by taking the benefits of IIoT across the industry. It may contain data sharing in operations, maintenance, supply chain management, system feasibility and other potential synergies.
IoT Platform Strategies
Along with improved inclusion of intelligent manufacturing, companies are moving to IIoT Architecture as the key element of the platform strategy to assist integration. Many companies are constructing IoT solutions as three-layer architecture
ā Lower Layer
This layer would contain different hardware products with interconnectivity ability, such as gateways and more.
ā Intermediate Layer/Middle layer
This layer would manage the edge point.
ā Upper Layer
This layer would include different applications, analytics and services with decision-making abilities.
The entire system operates together as IIoT only can be discovered via intercommunication of these three layers with respect to information, communications, data and applications.
No doubt that the Industrial Internet of Things can enable organizations of all sizes to acquire the optimal value from their systems without being restricted by economic and technological constraints. In addition to that, IIoT Solutions considerably increase efficiency, scalability, ROI and time savings for industrial organizations.