GAS DetectSys™, a state-of-the-art MEMS-based, sensor system, is a product of over a decade of development time and millions of dollars in development costs. It measures flammable gas levels with speed and accuracy not found in other sensor systems. Advanced sensor technology and sophisticated analysis software allows for the rapid detection, identification and quantification of a wide variety of gases.These sensors are able to identify and quantify multiple flammable gases on a single chip complete with accurate Lower Explosive Limit (LEL) determination. The system provides geolocation, and long range wireless connectivity. Sensors can be deployed on fixed, mobile, and ancillary assets. Broad-based deployment becomes feasible by dramatically lowering the footprint utilizing a silicon lab-on-a-chip sensor. With its silicon cost-structure,large scale sensor deployment becomes feasible.
GAS ActivatorSys™ is a GasSys sensor plus engine shutoff valve system. While directing the air intake shutoff to protect the asset to which it is assigned, it reports into the array of sensors throughout the field into PreventSys to provide wide area engine overspeed protection. ActivatorSys detects and identifies a multitude of explosive gases. Appropriate action is directed based on gas species, concentration, location, rate of increase, and other relevant qualities. This patent-pending, fully-integrated component is capable of not only preventing an engine runaway on the unit detecting the suspect vapor, but, can also communicate and direct the actions of other assets and personnel within the facility through the PreventSys platform.
GAS PreventSys™ is a patented Industrial Internet of Things (IIoT) platform that gathers data from multiple sources to map a broad spectrum of explosive and combustible gases in real-time and real-space. This technology allows the autonomous, global, wireless networking of an unlimited number of sensors and the split-second analyses of data. Subsequent action both in the sensor mesh network and in the cloud are designed to prevent catastrophic events, saving lives, valuable resources and assets. Historical big data sets can be mined and analyzed using artificial intelligence to enable data-driven decision making for all aspects of site control, cause and effect relationship extraction, and disaster prevention in comprehensive ways not previously possible. Utilizing Thread technology, the mesh infrastructure simply adds and removes nodes to its self-healing network; redesignating gateway-to-node relationships autonomously as needs require.
Real Time Dashboards
Using data captured from the multiplicity of sensors in the network, the data is analyzed, and results are reported on real-time dashboards. A summary of the compiled data along with granular views of individual components within the architecture are instantly available across a number of devices. The system allows for customization of alerts and the specification of decisive actions for each component. The results are recorded, sifted, analyzed and visualized for the entire ecosystem through cloud-based architectural tools. Autonomous decision-making utilizing state-of-the-art analytics and machine learning is used to minimize risk based both on the trends in the data and real-time reaction.
Large Data Analysis
Collecting and analyzing historical data trends in gas levels, PreventSys predicts and averts events. Prescriptive algorithms can be developed to counter dangerous gas level risks. Cloud computing allows for the consolidation of data from all sources, across various communications channels, and at big data scale. A unified view of information can easily feed insights back into data-driven applications. A key component of the PreventSys is the ability to shutdown potential ignition sources such as vehicle engines or generators. Current engine shutdown systems only react once an event has already reached a critical level. Engine RPM sensors are typically set at 120-140% of engine-redline before they actuate air intake shutoff valves. A faster and more intelligent response to high flammable gas levels allows faster intervention and where necessary automated management of predetermined actions, as well as, an automated and targeted notification, based on species, location and severity.
What We Do
Gas Activated Systems (GAS) uses its advanced Industrial Internet of Things (IIoT) infrastructure that includes state-of-the-art sensor technologies. Local, adaptive mesh communications, self-repairing long-range wireless and the backhaul to the cloud to monitor and control fugitive gas emissions at oil and gas exploration and production sites, refineries, storage and transmission facilities. Through this system, gas emissions are, mapped and analyzed 24/7 in real-time, providing the intelligence necessary for immediate control, as well as, collection and analysis of large historical data sets of methane and other explosive and combustible emission sources.