To succeed in today’s global marketplace, you must adopt and utilize technological advancements that are currently revolutionizing industry. Each day, new solutions emerge that transform and disrupt current markets. This trend is evident when analyzing the predictive maintenance market. New technology has streamlined the predictive process in ways that were unfathomable only a few years prior as a result of cloud-based applications and wireless sensors.
The Industrial Internet of Things (IIoT) has completely altered the predictive landscape. While past predictive solutions were reactive or purpose-built hardware capable of performing one function, the cloud-based technology of today allows for the creation of a one-platform, multi-tool application suite. A primary perk of cloud utilization is that apps are seamlessly updated and require significantly less infrastructure to manage. Driven by the “app revolution,” many companies in a variety of industries are already employing this new tech to improve their efficiency and reduce operational costs. Statistics have shown that seven out of every eight organizations manage a suite of apps on a public cloud, while 63% of them, do so privately. The competitive advantage gained by utilizing a one-platform, multi-faceted application suite to improve, in this case, predictive efficiency, is one that cannot be ignored.
Just as cloud-based applications have morphed the predictive picture, the introduction of high-tech, IIoT powered wireless sensors have been equally disruptive. In the predictive field, a proper maintenance program/platform of today, is only as effective as the ability of its wireless sensors to capture and transmit large volumes of data. While the novelty of a truly wireless sensor has waned, their power and connection capabilities have grown exponentially. Coupled with IoT connectivity, the wireless data market continues to evolve and improve as we near a commercialized 5G economy. Not limited to small term application, smart wireless sensors are being used to transmit real-time electric metering in Singapore to better manage the city’s electric distribution to optimize around peak demand. On a smaller predictive scale, wireless sensors are transforming the way employees and machines communicate to accurately predict machine failure and significantly reduce production downtime.
After realizing how effective maintenance platforms have become as a result of cloud-based applications and further development of wireless sensors, what is your technology roadmap for predictive maintenance? Contact GTI Predictive Technology and find out how to increase uptime and decrease maintenance costs at a lower entry price than ever before.
About GTI Predictive Technology
At GTI Predictive Technology, it is our mission to provide the best predictive tools on a single iPad platform and services to monitor nearly any asset. We strive to bring our customers the portability, connectivity, and affordability offered by the latest available technologies. Our product family combines wireless portable and online vibration data collection and analysis, balancing, shaft alignment, thermography, and ultrasound into an affordable and completely scalable solution on one simple to use platform. GTI’s predictive technology apps feature many additions that have come directly from customers. Click here to learn more.