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Sensus (Xylem) > Case Studies > City of Lakeland Improves Flood Prevention Capabilities with IoT Technology

City of Lakeland Improves Flood Prevention Capabilities with IoT Technology

Technology Category

Functional Applications - Remote Monitoring & Control Systems
Networks & Connectivity - Gateways
Sensors - Flow Meters
Sensors - Level Sensors

Applicable Industries

Cities & Municipalities

Applicable Functions

Business Operation

Use Cases

Leakage & Flood Monitoring

The Challenge

For scientists at the City of Lakeland, Florida, manually monitoring lake levels to prevent flooding is a time-consuming, resource-draining task, especially during the nearly four-month rainy season.

“Maintaining balanced water levels is critical to avoid flooding in residential areas and conserve enough water for the dry season,” said Laurie Smith, manager of the City of Lakeland’s Lakes and Stormwater Division. “Our technician has to drive back and forth between 11 lakes and make sure the levels don’t get too high.”

The Customer

City of Lakeland

About The Customer

-

The Solution

The city’s staff knew they needed a better way to monitor water levels, and turned to Sensus, a Xylem brand, to make this goal a reality using innovative Internet-of-Things (IoT) technology. Offering unprecedented capabilities for advanced connectivity, IoT has municipalities and communities rethinking the potential for using existing and future investments in technology–such as the FlexNet®communication network–to improve the lives of the citizens they serve.

A long-time Sensus customer, the Lakeland team leveraged their investment in the FlexNet system to create remote water monitoring stations at two lakes using the Sensus® Smart Gateway sensor interface.

“Our FlexNet system had all we needed to build a remote monitoring solution, allowing us to reap tremendous cost savings from not having to implement new infrastructure,” said Smith.

With Smart Gateway and the FlexNet system, the City of Lakeland’s scientists are now able to collect water level data remotely in real time. Technicians can identify when lakes are at risk for flooding and drive directly to the affected lakes to open or close the installed flood control structures, saving time and operational costs.

Data Collected

Water Flow Rate, Water Level

Operational Impact

[Efficiency Improvement - Operation]
The monitoring process used to take up the majority of technician time during the work week, but now that time has been reduced dramatically.

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