Connect with your machines using IoT technologies for higher visibility of usage, tracking energy consumption and control the waste for efficient Energy Management.
Talk to our team to learn more about Fogwing Energy Monitoring Solution
Industrial equipments are the biggest consumer of the energy sources (Power, Water and Gas) in the industrial environment. The equipments running on unproductive period is considered as energy waste. However it is very complex to measure the product vs unproductive energy usage in today’s energy meters. By combining the productivity data with energy consumption data helps to accurately identify the energy waste. Fogwing Platform supports to capture both productivity data and energy consumption to arrive the waste and apply automated controllers.
Meet our energy experts to learn more about this unique solution
Storing the energy plays vital role in sustainable industry operations by consuming energy from bank while primary source is unavailable. Either it is Solar energy or Liquid form of energy (Oil and Gas), it is extremely important to measure the energy storage availability to plan the industrial operations accordingly. Fogwing Platform provides solution to monitor the solar energy stored in battery or Oil and Gas availability in the containers, by deploying the adequate sensors to measure the availability. The single platform that can solve both storage and consumption to arrive the energy efficiency.
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If you are in energy distribution and management business then providing realtime energy report to your consumers are critical for customer satisfaction. However building and managing entire consumer energy reporting application is expensive. Fogwing Platform provides energy monitoring and visualization software on subscription basis to provide end user monitoring and reporting. The inbuilt alert modules helps the end user to set the energy usage alert on their own phase and get reported periodically.
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Fogwing Platform provides IoT based Solution to capture the realtime data from energy sensors such as Electrical Current, Liquid Flow and Gas to measure the energy consumption at realtime. These data are sent to cloud storage through 3G/4G wireless network or LPWA network for data consolidation, analytics and visualization. The inbuilt visualization and alert tools helps to measure the abnormal usage and report instantly.
One stop Cognitive IoT platform. The platform’s blend of emerging wireless technologies, Artificial Intelligence, Machine Learning and GPS Integration that drives smart decisions and innovation to make your business to echelons of success. All you need to do is just contact us.
SFactrix is the smart manufacturing solution for capturing production data from machines, operators and administration to visualize OEE.
Fogwing Asset Condition Monitoring Solution executes machine condition monitoring, performance tracking, health check and digital trend analysis.
Reduce Inventory Cost of Goods
Increase Productivity Rapidly
Quickly Reduce Machine Downtime
Increase Production Throughput
Improve Accuracy in Forecasting
Increase Total Cost of Quality
Welcome to our blog post on “Decoding Common Causes of Machine Failure” – a topic that every industrial enthusiast and business owner should pay attention to! Imagine the frustration of encountering unexpected machine breakdowns, leading to costly repairs, production delays, and lost revenue. But fear not! This insightful article will
Maintaining optimal equipment performance is vital for the smooth running of any organization. Imagine you are in the middle of a busy workday, relying entirely on your equipment, and suddenly everything comes to a grinding halt; your machine breaks down, pausing your production tasks. The culprit? Neglected maintenance. Whether it’s
Manufacturers must constantly monitor and measure their performance in the fast-paced and competitive manufacturing world. Key Performance Indicators (KPIs) provide valuable insights into a manufacturing operation’s efficiency, productivity, and overall performance. By monitoring these manufacturing KPIs, businesses can identify areas for improvement, make data-driven decisions, and strive for continuous improvement.
