In the not-so-distant future, joint use equipment will likely become capable of remote data capture and "talking back" to the plant. This kind of communication will enable automatic alerts to be issued when equipment is in need of maintenance. Field work can become much more efficient when equipment is capable of self-diagnosis.
The concept of using internet-aware devices in the field to transfer data between each other and to other data collection locations is often referred to as machine-to-machine communication or M2M.
Today, most field work is performed by technicians who travel to the asset in the field to conduct inspection, repair, maintenance or make-ready work. Many technicians use wifi-enabled devices to communicate data about the asset back to their network. However, in the future, the technician will not require a device to record information about a pole or other field asset. Sensors placed on the assets will record, collect and transmit data to each other and other devices. This idea revolves around a mesh network—a network in which devices transmit data between each other.
A mesh network is more cost-effective and uses significantly less energy than traditional networks because they do not need to transmit over long distances. For example, a sensor on one utility pole will transmit its data to the next pole, which will combine that with its own data and transmit all of it back to the plant engineers. Every few houses, a smart reader hub collects the data from local area sensors and transmits to the next hub. This continues until the data reaches the asset owner. Because the sensors only need to transmit a short distance, they can be operated with minimal power usage.
While these sensors will likely begin as small devices that can be attached to poles, towers conduit and other field assets, we imagine that future equipment will be manufactured with built-in sensors designed to help asset owners answer specific questions about the plant in real-time.
These ideas are complex, and while they are still future possibilities, the technology to enable them is quickly becoming more realistic. The exciting potential for smart joint use equipment, machine-to-machine (M2M) technology and mesh networks is that they can make joint use, and really all field asset management, more efficient and more effective.
Technicians would only be sent out into the field when the data showed a specific repair needed to be made or an issue needed to be investigated. The quantity of exploratory trips to the field would be reduced significantly. The end result is an easier path to profitable joint use businesses.
To help you envision the potential for sensors on field equipment, let’s take a look at the few ways we can imagine this technology could work out in the field:
As field asset owners, especially joint use asset owners, begin to think about the future of the industry, there is a simple way to dip your toes into machine-to-machine technology. The very first step should be to consider what the one most critical data point is for your business. What question do you want to answer about your field assets?
It can start out simply with, "Which poles should I inspect for rot?" or "Which poles need to be replaced?" or "Which poles are leaning due to high winds?" Every company will have a different data point that has the most impact on their bottom line and operations. Answer that question, and you have your starting point.
Next, you could begin to investigate what sensor technology already exists to measure that data point. While sensors are not generally being marketed specifically for use by joint use asset owners, these kinds of sensors are available. Yet without a well-defined path, it may be helpful to engage a third party to help you identify the right technology and develop an integration plan that coordinates with your communications plan. Talk to us.
Learn more about the future of joint use, and strategies for positioning your business for future success, by downloading Alden's eBook, Joint Use Asset Management for the 21st Century.