The monitoring breathalyzer has an alcohol sensor, a non-volatile memory, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC% measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC% measurement. The sample time is determined based on the user's metabolism rate or based on a time to a predetermined calibration point from a drink start time.

Described are systems and methods for compensating long term sensitivity drift of catalytic type electrochemical gas sensors used in systems for delivering therapeutic nitric oxide (NO) gas to a patient by compensating for drift that may be specific to the sensors atypical use in systems for delivering therapeutic nitric oxide gas to a patient. In at least some instances, the long term sensitivity drift of catalytic type electrochemical gas sensors can be addressed using calibration schedules, which can factor in the absolute change in set dose of NO being delivered to the patient that can drive one or more baseline calibrations. The calibration schedules can be used reduce the amount of times the sensor goes offline. Systems and methods described may factor in in actions occurring at the delivery system and/or aspects of the surrounding environment, prior to performing a baseline calibration, and may postpone the calibration and/or rejected using the sensor's output for the calibration.

A method for displaying gas concentration values on a graphical display of a leak detector comprises detecting a presence of a gas using a gas sensor. A signal is generated by the gas sensor and transmitted from the gas sensor to a processor. The received signal is processed to determine a gas concentration value and a corresponding time stamp. The gas concentration values and corresponding time stamps are displayed graphically as they are determined and newly determined gas concentration values and corresponding time stamps are displayed in relation to previously determined gas concentration values and time stamps in streaming manner.

Described are systems and methods for compensating long term sensitivity drift of catalytic type electrochemical gas sensors used in systems for delivering therapeutic nitric oxide (NO) gas to a patient by compensating for drift that may be specific to the sensors atypical use in systems for delivering therapeutic nitric oxide gas to a patient. In at least some instances, the long term sensitivity drift of catalytic type electrochemical gas sensors can be addressed using calibration schedules, which can factor in the absolute change in set dose of NO being delivered to the patient that can drive one or more baseline calibrations. The calibration schedules can be used reduce the amount of times the sensor goes offline. Systems and methods described may factor in in actions occurring at the delivery system and/or aspects of the surrounding environment, prior to performing a baseline calibration, and may postpone the calibration and/or rejected using the sensor's output for the calibration.

Described are systems and methods for compensating long term sensitivity drift of catalytic type electrochemical gas sensors used in systems for delivering therapeutic nitric oxide (NO) gas to a patient by compensating for drift that may be specific to the sensors atypical use in systems for delivering therapeutic nitric oxide gas to a patient. In at least some instances, the long term sensitivity drift of catalytic type electrochemical gas sensors can be addressed using calibration schedules, which can factor in the absolute change in set dose of NO being delivered to the patient that can drive one or more baseline calibrations. The calibration schedules can be used reduce the amount of times the sensor goes offline. Systems and methods described may factor in in actions occurring at the delivery system and/or aspects of the surrounding environment, prior to performing a baseline calibration, and may postpone the calibration and/or rejected using the sensor's output for the calibration.

The monitoring breathalyzer has an alcohol sensor, a processing unit or processor, and a screen. The processing unit determines the accuracy of the breathalyzer using the user's body as a simulator. In monitoring mode, the processing unit receives a BAC measurement from the alcohol sensor based on the breath sample provided by the user at a sample time and determines a reference point from the BAC measurement. The sample time is determined based on a time to a predetermined calibration point from a drink start time.

A process and a system for monitoring at least one concentration of a gas in a monitored area includes generating data by a mobile gas measuring device (3a), whose position in the monitored area is determined or is known and transmitting the data directly or indirectly to a central data processing unit (1). The data are compared with at least one limit value, and an information signal is outputted by the at least one mobile gas measuring device and/or by the central data processing unit in case of an undershooting or overshooting of the limit value. The monitored area is divided into at least two zones (8) and zone-specific parameters are assigned to the zones. A functionality of the mobile gas measuring device is set and/or changed based on the current position of the gas measuring device and based on at least one of the zone-specific parameters.

A process and a system for monitoring at least one concentration of a gas in a monitored area includes generating data by a mobile gas measuring device (3a), whose position in the monitored area is determined or is known and transmitting the data directly or indirectly to a central data processing unit (1). The data are compared with at least one limit value, and an information signal is outputted by the at least one mobile gas measuring device and/or by the central data processing unit in case of an undershooting or overshooting of the limit value. The monitored area is divided into at least two zones (8) and zone-specific parameters are assigned to the zones. A functionality of the mobile gas measuring device is set and/or changed based on the current position of the gas measuring device and based on at least one of the zone-specific parameters.

A system and method for training a machine learning gas detection model that monitors gas sensors located at an industrial site. The system and method uses a digital twin arranged to execute simulations of gas leaks using a virtual representation of the physical industrial site and varying simulated wind patterns, gas leak locations and leak rates. The simulations executed by the digital twin train a machine learning gas detection model with time-series gas sensor responses for the simulated gas leaks executed by the digital twin. The trained gas detection model is used in a gas detection system to monitor for gas leaks at the physical industrial site.

Systems, methods, and computer-readable media for calibrating air quality sensors are provided. A sensor node includes a sensor node printed circuit board, a sensor module, and a communication module. The sensor node printed circuit board manages power of the sensor node circuitry, the sensor module, and the communication module such that power is provided from a primary power supply supplemented by a secondary power supply. The sensor module includes a plurality of air quality sensors to measure the concentration of air pollutants. The sensor module may be replaceable. The communication module may communicate air quality measurements to and receive configurations from a data management platform, which may perform processes to improve the accuracy of the air quality measurements.