The water industry is on the cusp of a major transformation driven by a combination of industry needs and emerging technology. Challenges associated with aging infrastructure, budgetary constraints, weather and more are driving utilities to do more with less.
A key element in enabling a water utility to become more efficient is building an understanding of how the network is performing and the network assets’ condition. Situational awareness through network monitoring is key to understanding how the network is operating, including problems and possible remedies.
Utilities have deployed supervisory control and data acquisition (SCADA) systems to monitor and remotely control network assets. However, SCADA systems are complex, expensive and require continuous power. Their deployment often has been limited to key plant locations such as treatment works, pump stations and reservoirs. This leaves a blind spot for utilities throughout the distribution and collection networks that can be filled with battery-powered remote monitoring for pressure, flow, level, pump runtimes and other parameters.
Figure 1. Wireless remote monitoring of a pump station with an IoT sensor (Graphics courtesy of Trimble)
These can be cost-effective solutions; however, with current remote monitoring data loggers, there is a trade-off between battery life and reporting interval. The power requirements of current cellular technology means shorter interval reporting, causing more regular battery changes and, in turn, increasing the monitors’ operating cost.
IoT Networks
The enabling technology for the emerging Internet of Things (IoT) is Low Power Wide Area Networks (LPWAN), which is a family of new communications technologies that allow devices to communicate small volumes of data over a long distance with low power. For this reason, they are perfect for battery-operated sensors because they facilitate small bursts of measurements sent frequently, while the low power profile ensures that sensors can retain a long battery life. This is a significant advantage over current cellular network technology for machine-to-machine communications.
Network technologies that fall under the LPWAN umbrella include LoRa and SigFox, both of which operate in unlicensed radio spectrum, and NB-IOT, which is a cellular technology that uses a small part of the current cellular spectrum.
Long Range Wide Area Network (LoRaWAN) is an LPWAN specification from the nonprofit IoT group LoRa Alliance for battery-operated devices that provides secure, bidirectional communications between remote sensors and centralized network servers.
LoRa has gained significant acceptance in the industry with multiple network providers offering public networks across North America, Europe and Asia. Availability of these public networks means that utilities do not need to operate their own networks and can use existing networks in a similar manner to current cellular service.
In some regions, cellular operators are rolling out LoRa networks as an IoT specific complement to their cellular offering. Other cellular operators are pursuing NB-IOT, which has completed standardization and is intended to be the cellular solution for LPWAN requirements. These LPWAN networks will be the driver for more economic, near-real-time monitoring solutions, which will enable water utilities to execute on smart water strategies.
Adopting Technology
While the IoT’s technology advancements may be revolutionary, its adoption in the water industry will be evolutionary and iterative.
Water utilities will initially focus on key assets in their distribution and collection systems such as pumping and lift stations. This allows visibility into the performance of these assets with a modest capital investment that can be retrofitted to existing equipment such as pumps, valves and meters, turning these into smart assets.
Near-real-time information on asset performance allows operational staff to make informed decisions about the current network state. For example, when a pump is deviating from its expected duty cycle, an alarm can be raised to a dispatcher. Adding other sensors such as a level monitor in the wet well can provide the dispatcher with more information to determine the best response.
As the work progresses to address the issue, near-real-time information allows both dispatch and field staff to understand the impact of the work and ensure that issues are resolved before staff leaves the remote site.
With the new generation of battery-operated IoT sensors, water utilities can readily incorporate monitoring throughout the network. The sensors’ lower capital costs, coupled with the long battery life and low maintenance requirements, mean that the total cost of ownership (TCO) is much lower than previous solutions and enables utilities to roll out monitoring throughout their distribution and collection systems as part of a smart network strategy.
Cloud-based analytics operating on this monitored data can extract key information and performance indicators, turning raw data into actionable events. Sophisticated graphical and spatial visualizations ensure that personnel can quickly assess the situation and field staff have access to key performance data in the field.
Creating Smart Networks
Remote monitoring systems are a foundational element on a journey that many water utilities will undertake in the next decade. This journey starts with getting sufficient data to make optimal decisions. Making all machine data and other pertinent telemetry data available within a single platform is critical to the eventual realization of an optimized network.
This journey will follow a number of stages:
- Rolling out instrumentation through the network and gathering the data back to the cloud, where it can be stored and managed.
- Organizing data into reports, dashboards and visualizations, thereby understanding what is happening on the network and responding to alarms and other events.
- Optimizing operations that integrate network data into systems for better decision making.
- Adding analytics to understand correlations in data and develop models to predict what will happen on the network and react before it happens to optimize operations and significantly reduce operation cost.
- With the addition of machine learning and artificial intelligence, the operational decisions and changes required for the network’s optimal operation at minimal cost will be advised by the system.
These developments represent an exciting time for the industry as it works to find creative and effective ways to implement new technologies to achieve much-needed changes and growth.
