Mining Contract: Intrinsically Safe Low-Power Methane Wireless Sensors for Mapping of Methane Gas Clouds
This contract aims to develop intrinsically safe, low-power-consumption methane sensors integrated with a wireless sensor network.
Contract Status & Impact
This contract is ongoing.
The contractor, GE Global Research Center, will develop a low power methane sensing material combined with a new multivariable sensor platform for methane quantitation in the presence of interferences from other gases and water vapor. The sensor platform will be integrated into a wireless sensor node network and validated through field tests.
The proposed technology has four components: (1) a new type of sensing material to detect methane up to a concentration of 5% methane-air, (2) a new multivariable sensor to recognize different responses and interferences, (3) data analytics for enhanced low level methane detection and temperature compensation, and (4) a wireless sensor node network.
- Degasification System Selection for U.S. Longwall Mines Using an Expert Classification System
- Development and Application of Reservoir Models and Artificial Neural Networks for Optimizing Ventilation Air Requirements in Development Mining of Coal Seams
- Drainage of Methane From the Overlying Pocahontas No. 4 Coalbed From Workings in the Pocahontas No. 3 Coalbed
- Guidelines for the Control and Monitoring of Methane Gas on Continuous Mining Operations
- The Limiting Oxygen Concentration and Flammability Limits of Gases and Gas Mixtures
- MCP - Methane Control and Prediction - 2.0
- Modeling and Prediction of Ventilation Methane Emissions of U.S. Longwall Mines Using Supervised Artificial Neural Networks
- Remote Methane Sensors
- Reservoir Rock Properties of Coal Measure Strata of the Lower Monongahela Group, Greene County (Southwestern Pennsylvania), from Methane Control and Production Perspectives
- Stochastic Modeling of Gob Gas Venthole Production Performances in Active and Completed Longwall Panels of Coal Mines
- Page last reviewed: 11/28/2016
- Page last updated: 11/28/2016
- Content source: National Institute for Occupational Safety and Health, Mining Program