Industrial Consultancy & Sponsored Research (IC&SR) , IIT Madras

A Wireless System to Monitor and to Predict the Consumption and Remaining Gas in a Cylinder

Categories for this Invention

Category IoT & Wireless Sensor Technology

Applications- To monitor and to predict the consumption and remaining gas in LPG cylinder.

Industry- Advanced Manufacturing

Market – Global gas sensor market size was estimated at USD 2.69 billion in 2022 and is expected to reach USD 2.90 billion in 2023, growing at a CAGR of 9.5%.

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Problem Statement

  • LPG is a commonly used cooking fuel supplied through cylinders, but users lack awareness of their daily gas consumption and when the cylinder will run out.
  • Existing systems for tracking and analyzing gas consumption have advantages and disadvantages related to technology, sensor placement, tracking, prediction, optimization, cost, time, performance, reliability, safety, and efficiency.
  • The challenge is to develop an efficient and cost-effective system that provides users with real-time gas consumption data and estimates the time when their LPG cylinder will be empty.

Technology

  • The present invention relates to both a system and a method for monitoring LPG consumption and predicting the remaining gas in a cylinder.
  • Sensor Placement: Sensors are placed on each position of a knob associated with a switch. This knob controls fuel supply through the switch.
  • Sensor Functionality: The sensors send unique signals to indicate the status of fuel use at each knob position.
  • Calibration: The method calibrates expected fuel usage time in the cylinder based on past usage data for a specified time period.
  • Usage Data: The calibration is done in response to receiving unique signals from the sensors, which represent fuel use.
  • Residual Fuel Prediction: The technology uses the calibration data to predict the amount of residual fuel in the cylinder.

Key Features / Value Proposition

Accurate Fuel Monitoring:

  • The system provides precise fuel consumption tracking for improved resource management.

Predictive Insights:

  • It predicts residual fuel levels, allowing for timely refilling and preventing unexpected fuel shortages.

Real-time Status Updates:

  • Sensors offer real-time feedback on fuel usage at different settings for informed decision-making.

User-Friendly Interface:

  • The system is designed with an easy-to-use knob and sensor setup for operator convenience.

Versatile Application:

  • Applicable in various industries where fuel monitoring is crucial, enhancing operational efficiency and cost savings.

Questions about this Technology?

Contact For Licensing

sm-marketing@imail.iitm.ac.in
ipoffice2@iitm.ac.in

Research Lab

Prof. Anjan Chakravorty

Prof. Pradeep Kiran Sarvepalli

Department of Electrical Engineering

Intellectual Property

  • IITM IDF Ref. 977
  • IN 387332

Technology Readiness Level

TRL – 4

Technology validated in lab scale.

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