Some implementations can include a computer-implemented method and/or system for medical gas inspection and electronic inspection report generation.

The present invention provides, inter alia, a device comprising a colorimetric detection layer configured to undergo a color change upon interaction with a first analyte of interest. The detection layer comprises a first plurality of self-assembled fiber bundles. At least a fraction of the fiber bundles undergo a change from a first conformation to a second conformation upon interaction with the first analyte of interest, thereby undergoing a color change. The invention also provides a method for using the system to detect an analyte of interest.

The invention relates to a method and a device (30) for monitoring the inert gas (5) during a welding process performed using a welding torch (7), wherein at least one measurement variable (Pi), which is dependent on the type of inert gas (5), is measured by means of at least one sensor (Si). According to the invention, at least two measurement variables (Pi) of the inert gas (5) are measured and the measured values (Mi) of the at least two measurement variables (Pi) of the inert gas (5) are compared with several stored values (Mi), which are associated with inert gas types (Gi), of the at least two measurement variables (Pi), and the inert gas type (Gi), for which the assigned values (Mi) of the at least two measurement variables (Pi) are closest to the measured values (Mi) of the at least two measurement variables (Pi) of the inert gas (5), is displayed.

The invention relates to a method and a device (30) for monitoring the inert gas (5) during a welding process performed using a welding torch (7), wherein at least one measurement variable (Pi), which is dependent on the type of inert gas (5), is measured by means of at least one sensor (Si). According to the invention, at least two measurement variables (Pi) of the inert gas (5) are measured and the measured values (Mi) of the at least two measurement variables (Pi) of the inert gas (5) are compared with several stored values (Mi), which are associated with inert gas types (Gi), of the at least two measurement variables (Pi), and the inert gas type (Gi), for which the assigned values (Mi) of the at least two measurement variables (Pi) are closest to the measured values (Mi) of the at least two measurement variables (Pi) of the inert gas (5), is displayed.

Conventional systems for monitoring pipe networks are generally not scalable, impractical in the field with uncontrolled environments or rely of static features of pipes that are vary depending on the pipes under consideration. The ideal sensor-ed monitoring systems are not economically viable. Systems and methods of the present disclosure provide an improved data-driven model to rank pipes in the order of burst probabilities, by including dynamic feature values of pipes such as pressure and flow that depends on network structure and operations. The present disclosure enables estimating approximate values for the dynamic features since they are hard to estimate accurately in the absence of a calibrated hydraulic model. The present disclosure also validates the estimated approximate dynamic feature values for the purpose of estimating bursts likelihood vis-a-vis accurate values of the dynamic metrics.

Conventional systems for monitoring pipe networks are generally not scalable, impractical in the field with uncontrolled environments or rely of static features of pipes that are vary depending on the pipes under consideration. The ideal sensor-ed monitoring systems are not economically viable. Systems and methods of the present disclosure provide an improved data-driven model to rank pipes in the order of burst probabilities, by including dynamic feature values of pipes such as pressure and flow that depends on network structure and operations. The present disclosure enables estimating approximate values for the dynamic features since they are hard to estimate accurately in the absence of a calibrated hydraulic model. The present disclosure also validates the estimated approximate dynamic feature values for the purpose of estimating bursts likelihood vis-a-vis accurate values of the dynamic metrics.

An air sampling system configured to detect an air quality metric for a plurality of volumetric regions is disclosed. The system comprises an air sample return unit, an air flow controller, and at least one sensor. The air sample return unit is configured to independently transfer air from the plurality of regions as a plurality of air samples. The air flow controller is configured to receive each of the plurality of air samples and selectively direct a selected sample to a sensor supply line and the remainder of the samples to a sample purge line. The at least one sensor is configured to measure an air quality metric of the selected sample and communicate the air quality metric to a controller. The remainder of the air samples are directed to the air sample return unit throughout operation.

The present application provides a method and system for the characterization of properties of liquids, particularly petroleum and petroleum liquids. The method and system can be used to take measurements of the liquid directly in a storage container, without exposing the contents of the container to the external environment.

A detector can detect an analyte including a carbon-carbon multiple bond moiety and capable of undergoing Diels-Alder reaction with a heteroaromatic compound having an extrudable group. The detector can detect, differentiate, and quantify ethylene.

The invention provides a poor physical condition determination device, method, and program enabling simple determination of a physical condition level. A poor physical condition determination device 10 acquires a ketone concentration measurement measuring ketone excreted from a user, determines a physical condition level related to the physical condition of the user based on the acquired ketone concentration measurement, and outputs a determination result.