SMART UTILITY
Powering smarter cities, one sensor at a time. From water flow to energy consumption, our AIoT sensor networks turn raw utility data into real-time decisions that reduce waste, cut costs, and keep critical infrastructure running without interruption.

Smart Utility Products & Projects

Smart Water Meter

IoT-connected water meters that transmit real-time consumption data to a central dashboard — enabling utilities and municipalities to detect leaks, prevent theft, optimise distribution, and bill accurately. Seamless data movement from edge-of-cloud devices through advanced workflows that incorporate machine learning and data science.

Read More
Smart Energy Monitoring System

Most facilities know their monthly electricity bill. Very few know which machine drove it up last Tuesday, which shift consumes 40% more than the others, or which equipment is drawing excess power because it needs maintenance. KS Smart Solutions’ Smart Energy Monitoring System answers all of those questions continuously, automatically, and in real time.

Read More

Smart Utility Products & Projects

20000

smart electricity meters installed

500

+
smart bulk water meters installed

99

%
Sensor Uptime

10000

Data points captured per day
Allsolutions

Software Asset

Workforce a security
VR / AR

VR / AR
solutions

Industry 4.0
solutions
Machine Learning / AI

ML / AI
solutions
web and mobile

Web / Mobile Apps
solutions
Marketing Solutions

Marketing Solutions
solutions
Enterprises solution

Enterprise Solutions
solutions

Integrated Energy Monitoring System

The integrated energy monitoring system (EMS) is an application which is used to track a facility’s energy consumption and help in reducing it. The idea is to capture granular data for every equipment in the shopfloor, and analyze it to generate useful insights. These values can also be linked to data such as, size of production, itemized production, efficiency of equipment etc, to gain deeper insights on the business operations.
Solution
Smart energy meters are connected to various individual equipment to get accurate electrical parameter data. These are connected to an Edge IoT device, which captures the information from the meters either wirelessly (WiFi, 4G etc) or through wired protocols (Modbus, Profibus etc). Basic analysis and alerting at the Edge. Deeper analysis in a central cloud historian. Data is fed into a machine learning and prediction engine.
Location
This system is optimal to deploy for any kind of manufacturing setup, and can be deployed across the factory shop floor. The hardware is cost effective and easily available, while the software is modular and easily scalable. This enables easy deployments across geographies.
image
image
Need
Electricity consumption is a major expense in any factory. The system provides SMS Alerts for proactive action and key dashboards to generate insights. Pre-Built machine learning algorithms have been developed to provide insights of future operation. Some examples of use cases are; Energy forecasting, Current and Power based condition monitoring, Root cause analysis, Max Demand Alerting, Equipment / Group of Equipment comparison across plants, Equipment / Group of equipment comparison over time, comparison of consumption across products and many more.
Impact
In general, the impact of implementing this system, along with the necessary actions would lead to anywhere between 2% - 8% energy savings, with certain factories achieving close to 15% reduction. Additional outcomes would include a 8% - 10% reduction in man hours (to engage in more productive and high value tasks) and a 2% - 5% improvement in equipment reliability.