Connected Sensors for Energy, Waste, and Utilities
Allow your managers to take complete control of energy data from scratch and optimize the process significantly. IoT in the energy and utility sectors is an advanced process where planning and energy & resource management of the consumption patterns in multiple domains takes place.

“With Golioth we’re able to focus on scaling our efforts and adding new functionality.”

Reduce cost and prevent potential business disruptions by monitoring solar and wind energy generation to detect failures or abnormal decreases in energy efficiency.

Monitor water levels, pressure, turbidity, Ph, salinity, ORP, flow, etc., to prevent overflows, track drinking water supply, and monitor the wastewater network and treatment operations.

Reduce costs by monitoring oil and gas storage tanks to improve efficiency and cost effectiveness over manual checks.

Monitor major tilting as a result of strong wind, traffic accidents, earth movements, etc. to be able to conduct preventive maintenance and reduce cost and business risk.

Increase revenue, reduce cost, and gain new capabilities for metering, analyzing power usage at the edge, and selectively cut electricity to power-hungry appliances to prevent blackouts by adding connectivity to circuit breakers.

Reduce costs, increase revenue, lower business risk, and improve customer experience by monitoring and optimizing infrastructure in real-time to detect leaks and breakdowns, automate billing and remotely activate and deactivate services.

Improve your employee experience and worker efficiency by equipping service technicians with connected hardware, e.g. tablets.

Smart waste collection solutions work by employing sensors to measure receptacles' fill level, temperature, tilt, and weight to optimize collection schedules and routes. The company receives an alert when a bin becomes full and it gets added to an upcoming route.

Utility equipment management solutions remotely monitor the performance of utility equipment and can track and record equipment's age, usage, and maintenance history. This can allow companies to better optimize maintenance to minimize downtime and prevent unexpected outages by scheduling maintenance before equipment starts to fail.
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