The Industrial IOT is the sum of connected devices, sensors and computers that work together to collect and analyze data. The application of IoT lies in manufacturing plants that can allow organizations to produce large data sets and reduce waste and increase efficiencies. By gathering technical data on pressure, temperature, flow rate, RPM will allow smart IIoT to make plants more efficient, safe and reliable.
There is a continuing presence of IIoT around us happening daily in our lives. By using sensors and other geo-systems in smartphones, this rich source of sensor data can be gathered and analyzed by super smart software which will help to detect problems, increase productivity and save energy. IIoT works in the same way and applies these principles to industrial plants and processes on a larger scale.
Trends in IIoT:
For the short term, focus is being made on the software perspective – database and algorithm to crunch through data and detect faults and optimize processes.
An organization called Alluvium brings machine learning to manufacturing. Manufacturing organizations will invest in digital literacy rather than infrastructure for continuing IIoT development. The focus has shifted from how to collect data to analyzing it. The curve for IIoT will bend towards data analytics. This will also create roles and jobs in the fields as data scientists and engineers will be required to link-up with cloud services and investigate abilities across providers like Microsoft and Google and expirement with cutting edge analytic tools.
MERGERS AND ACQUISITIONS
There will be an increase in the numbers of M&As taking place for advanced IIoT capabilities among large OEMs. There is a large appetite for these OEMs to bring advanced digital analytics in-house and increase their advantage among their respective competitors. Since software engineering and data science are not core competencies of OEMs, it will continue to be more efficient for OEMs and bring these capabilities into their stacks.
The biggest gains will come through app developers who will work towards specific verticals. Intelligent products can only be brought into the industrial environment if those products can solve narrow problems for specific users. The way organizations let these advanced methods apply successfully will be a large function of where, how and for whom those tools are applied.
People want to move towards more clean and green manufacturing methods and so, energy harvesting in IoT will be important for low power technology. Solar power, thermal and wind energy, salinity gradients and kinetic energy gather energy for small devices like wearable electronics and wireless sensors and will be important as more cutting edge technology develops in the field.
There is a huge field service industry. There are an enormous number of technicians travelling around in vans to maintain everything from hospital equipment to office elevators. Maintaining them is not an easy task so creating efficiencies and using predictive maintenance will be welcome. IoT sensors can supply information if a part needs to be checked or replaced.
Smart cities will be a concept more mature in 2018 and they will benefit from IoT services like location accuracy and autonomous technology. With the growth in infrastructure, residents will reap rewards. Service calls can be scheduled, lighting systems will be efficient and parking systems will mature.
Security will be key for the IIoT just as the IoT is key for security. IoT devices can perform for up to 7-10 years and the ability of these devices to be updated and secured over that time frame will be critical. But currently, many of them lack security, weak password solutions, no facility for OS upgrade. Industrial companies tend to keep internet connections to a minimum, but the requirement is there regardless.
The next few years will be an integration of more autonomous capabilities. Early IIoT applications were focused towards predictive maintenance and improving asset utilization through better monitoring. Industries are taking advantage of increased connectivity to drive their systems and implement more autonomous systems.
OEMs will begin to make use of smart conveyers, air compressors, cutting machines and efficient tools. IoT technologies will enable automation, orchestration and DevOps style operations. There will be an increased globalization in mobile monitoring and factory management with IoT linking facilities and providing data insights from locations to drive businesses better.
DATA CENTRES BECOME AUTONOMOUS
Data centers will transform into fully autonomous operations. IoT and intelligent software will compile data issues to be resolved automatically by software. Administrators for data centers wouldn’t be disturbed for troubleshooting outages and can be taken care of by the machine itself. Voice features can help manage machines from any location. By deploying IT infrastructure gear, you can stock new nodes and disk drives and use robotics to streamline technology to the appropriate systems.