The Future of Industrial IoT (IIoT)
CERVAIS TECH ROOM – 10.6.20
The manufacturing industry is benefitting from the use of Smart Machines otherwise categorized as the industrial internet of things.
Smart sensors are being applied to manufacturing and industrial processes to provide real-time analytics that is proving essential to driving faster business decisions with greater accuracy.
The business intelligence gathered from IIoT delivers improved detection of inefficiencies and early identification of problems which translate into time and cost savings.
In addition, IIoT is also fueling improved quality control practices that support predictive maintenance capabilities, energy management, asset tracking, and enhanced field services
The IIoT infrastructure is comprised of smart assets that can intelligently sense and store information about themselves; infrastructure for data communications, and software applications that generate and or store raw business data.
Business optimization occurs when actionable information is gathered from these IIoT assets and edge devices and transmitted to the data communications network.
SPECIFIC USES OF INDUSTRIAL INTERNET OF THINGS (IIoT)
One of the major benefits of IIoT is the ability to perform predictive maintenance.
Organizations can leverage real-time data generated from IIoT systems to predict defects in machinery before they occur. Companies are now able to proactively address issues for a system failure takes place or is out of service.
Field service support improves the customer experience as technicians can identify issues with customer equipment and fixing them before they become a problem to the customer.
Suppliers, manufacturers, and customers can use asset management systems to track the location, status, and condition of products throughout the supply chain. Instant alerts can then be sent to stakeholders providing opportunities to remedy the situation.1
Manufacturers can provide optimal customer services as the data gathered from IIoT products connected to the internet of things, delivers insights about how customers use the products. This enables manufacturers to develop future IoT devices that are tailored to meet customer needs.
Manufacturing equipment depreciate and experience wear and tear overtime because of certain operating conditions. IIoT sensors can monitor things like temperature to better manage facilities.
IIoT applications are implemented to connect machines and devices within the, oil and gas, utilities, and manufacturing industries. Any system failure or downtime with IIoT deployments can prove detrimental and even life-threatening.
The trucking industry stands to gain from the technological advances of IIoT. Through improved utilization and asset performance. the trucking industry is experiencing tremendous value from predictive maintenance, improved service processes, maximization of asset life cycle, and optimized purchase and disposition decisions using real data.2
IIoT adoption has positively impacted asset performance and service and repair operations. The remote diagnostics and analytic capabilities made available through IIoT, delivers critical intelligence to service teams at the point of service with greater accuracy and the ability to provide proactive support. The data derived from these connected vehicles also helps address downtime, fuel efficiency, maintenance costs and service optimization issues. IIoT promises to improve the commercial trucking industry with increased efficiencies that span throughout supply chains for industries as diverse as food production, manufacturing, and retailing, all while improving the bottom line and building strong customer relationships.
- Rob Bradenham. May 3, 2018. History-making technology: How IIoT can transform America’s trucking industry. https://internetofthingsagenda.techtarget.com/blog/IoT-Agenda/History-making-technology-How-IIoT-can-transform-Americas-trucking-industry