A sensor device, system and method can generate a profile of one or more detected substances in an environment, receive monitoring data from one or more of a group of sensors, and assess whether a heat-not-burn device activity event has been detected. In various embodiments, the sensor device includes a particle detection sensor and a gas detection sensor and a profile for heat-not-burn device activity is established with a threshold of detected particles and/or gases. In various embodiments, the profile for heat-not-burn activity is established with a threshold of gases that is not to be met or exceeded in order to generate a positive heat-not-burn detection.

An additive manufacturing system comprising at least one electronic nose (e-nose) is provided. The e-nose may comprise a housing and gas sensors. The housing may have an air channel. The active sensor portion of the sensors are positioned in the air channel. The housing may be mounted to an extruder head of an additive manufacturing device. The system may also comprise a processor. The processor may determine whether there is an abnormality in an additive manufacturing process based on one or more combinations of outputs from the gas sensors received during the additive manufacturing process input into a deployed machine learning model; and generate a report for the additive manufacturing process containing the determination.

A system for determining an age and/or quality of food or beverage based on one or more combinations of outputs from gas sensors input into a deployed machine learning model is provided. The system may comprise an electronic nose which may comprise a housing and the gas sensors. The housing may have an air channel. Each sensor has its active sensor portion in the air channel. A system for predicting one or more natural language descriptors associated with aromas of an item based on one or more outputs of the gas sensors and calculated one or more ratios input into a logistic regression model is also provided.

A system for predicting one or more analytes based on outputs from thin film gas sensors is provided. The system may comprise an electronic nose (e-nose). The e-nose may comprise the gas sensors and a first processor. The system may further comprise a second processor. The second processor may be configured to receive the output from each of the gas sensors, evaluate a prediction accuracy using an evaluation parameter of each of a plurality of models which are trained and tested and select a model from among the plurality of models to deploy based on a comparison of the evaluation parameter for each of the plurality of models and use the same. The second processor may also receive, an output of each of the gas sensors caused by unknown one or more analytes; and predict, using the deployed model, the one or more analytes that causes the output.

An integrated multifunctional environmental characterization system (IMECS) is provided. The IMECS may comprises a memory, one or more interfaces and a processor. The processor may be configured to predict an environment condition adjacent to a thin film using one or more machine learned models from one or more measured properties of the thin film received via the one or more interfaces; and/or predict values for one or more properties of the thin film using the one or more machine learned models from an environmental condition received via one of the one or more interfaces; and display the predicted environment condition and/or the predicted one or more properties. The processor may also adjust the acquisition parameters used to acquire values of one or more properties of the thin film from received acquisition parameters via a user interface based on measured values for the same properties.

Devices and techniques related to landfill gas extraction are disclosed. A technique for controlling extraction of landfill gas from a landfill through a gas extraction system is described. The method may include measuring a plurality of values indicating conditions associated with the landfill; computing, based at least in part on the plurality of values and on a model of the landfill, a predicted future state of the landfill; determining, based at least in part on the predicted future state of the landfill, one or more control parameters for one or more respective control devices configured to control operation of the gas extraction system; applying the one or more control parameters to the one or more respective control, and with the one or more control devices, controlling extraction of the landfill gas from the landfill based, at least in part, on the one or more respective control parameters.

Embodiments of a sensor device, method and system employ a multiplicity of environmental sensors as a single monitoring and alerting mechanism, operable to provide a profile of any contaminant in terms of various gases and particles in the atmosphere, quantified in terms of relative concentrations. In various embodiments, the sensor device can comprise hardware and firmware elements, including an electronic control system, a case, a shield and a cover. The environmental sensors can be secured as part of the electronic control system and the shield can be formed so as to facilitate proper channeling of air and sound for effective operation.

A method that includes obtaining a sensor reading from a sensor installed inside an underground vault and determining whether the sensor reading is indicative of an alarm state. When the sensor reading is indicative of the alarm state, the method obtains at least one new reading and determines whether the sensor reading includes sensor drift based at least in part on the at least one new reading. The alarm state is established when the sensor reading is determined not to include sensor drift. The sensor drift is removed when the sensor reading is determined to include sensor drift.

Systems and methods are provided for displaying status of a gas concentrator. The systems and methods include, for example, a display having a plurality of illuminable segments. The illuminable segments can be illuminated to form one or more displays indicating system status. The system status includes, for example, warmup, normal operation, low priority alarm(s), high-priority alarms, etc. In one embodiment, the systems and methods also read oxygen values of the gas concentrating system as one basis for determining system status. Other bases are also disclosed.

Method for calibrating a gas chromatograph to render the calibration of the gas chromatograph more error-proof, wherein relative response factors determined during the calibration are compared with universal relative response factors contained in the memory and typical of the detectors, where an error message is generated and output if the relative response factors determined in the calibration deviate beyond a predetermined degree from the universal relative response factors, and where the universal relative response factors are determined and provided for different components by the manufacturer of the detectors, for instance.