Industrial IOT Solutions & Monitoring System | IIOT Solution

Industrial IoT, or IIoT, is in its infancy compared to the potential offered by today’s sensor, networking, and analytic technologies. One of the hot topics discussed in most of the industrial categories is the idea of predictive maintenance. Predictive maintenance is a concept of using technology to determine when in-service equipment needs to be serviced prior to experiencing a failure. Most maintenance routines are scheduled on a time-based calendar. Unfortunately, faults and failures rarely follow such schedules. Predictive maintenance provides sensors to monitor key equipment parameters such as temperature, speed, vibration, power consumption, etc. Based on sensor feedback, a machine algorithm can help determine when maintenance should be performed. This technology helps limit equipment downtime and can help prevent unexpected damaging failures.

Although many of the usage scenarios listed below are just now being conceived, let’s explore how IoT technology can modernize the deployment of several industrial applications.

Energy equipment monitoring

For commercial and industrial organizations, the cost of energy is a significant portion of operating expenses. Managing and minimizing this expense can have a very positive impact on the bottom line. Every dollar saved on energy expense falls directly to the bottom line. By monitoring the consumption of any and all equipment, companies can identify the small changes that are predictors of larger problems. They can then be corrected before repairs become more costly. Timely maintenance on equipment means longer usable life, another capital cost savings to the company.

Solar panel performance monitoring

As solar energy becomes more prevalent, in both residential and commercial applications, the need to get the most from each panel is obvious. Tracking output from the panels can indicate simple things like the need for a cleaning or a damaged panel. In the long term, tracking panel performance can aid in determining maintenance and replacement schedules.

Remote station monitoring

Many applications have a need to monitor equipment placed in remote areas. Power distribution and oil and gas pumping stations are just a couple of examples. The high cost of servicing these remote locations justifies the additional expense associated with monitoring equipment. These sites rarely have access to Wi-Fi, so the ubiquitous cellular network is a much better fit. From a security perspective, monitoring door open/close can alert operators to unwanted intrusion.

Factory applications

Today’s modern factory is a highly automated and complex digital environment. Monitoring all aspects of the equipment has become necessary to maximize efficiency and protect capital investments. Equipment temperature can help in predicting needed maintenance or identifying a change in behavior, such as the wear-out of a serviceable component. Monitoring the power consumption of a piece of equipment can identify small problems before they become big ones, not to mention allow savings on the operational costs of electricity. The revolution in “Big Data” analytics starts with the collection of sensor information.