A method for using a chemical capture system with integrated calibration having a chamber which comprises an opening and a closing member, as well as a chemical sensor to be calibrated and a photoionization sensor which are positioned in the chamber, in which method: —during a measurement step, the sensor to be calibrated and the photoionization sensor measure the gas mixture present in the chamber, defining an open interior space, so as to identify the gas mixture and —during a calibration step, the photoionization sensor generates ozone by photoionizing the dioxygen in the chamber, defining a closed interior space free of gas mixture, and the sensor to be calibrated measures the generated ozone, the difference between said measurement and a reference measurement making it possible to calibrate said sensor.

The present invention relates to a sensor device (10) for detection of liquid and/or humidity. The sensor device comprises a resonance circuit comprising an inductor (13) connected to a capacitor (11), wherein the capacitor comprises a first electrode (11a) and a second electrode (11b) together sandwiching at least a portion of a dielectric substrate (14). The first and second electrodes are configured to provide an overlap mismatch relative to each other, and the overlap mismatch area (ma) is at least 0.1% of the overlapping area (o.sub.a) of the two electrodes. The present invention further relates to a system (70) for reading a sensor device and a method (100, 200) for reading a sensor device.

An air-quality detection apparatus is disclosed. The air-quality detection apparatus includes a casing body including a bottom and a side wall extending upwards from the circumference of the bottom, a first printed circuit board (PCB) disposed horizontally above the bottom, a temperature/humidity sensor mounted on the bottom surface of the first PCB, a second PCB disposed horizontally above the first PCB, and a CO.sub.2 sensor mounted on the second PCB.

Systems and methods of preventing an event occurrence or mitigating effects of an event occurrence in an industrial facility are disclosed herein. In some embodiments, a first input is received from a first sensor and, based at least in part on the first input, an initial action is automatically generated. In response to the initial action, a second input is received from a second sensor and, based at least in part of the received first and second inputs, a likelihood of an event occurrence is determined. Based at least in part of the determined likelihood, a remedial action configured to prevent the occurrence of the event occurrence is automatically generated. In some embodiments, the remedial action is generated in real-time and can be directed to a process condition, environmental condition, or secondary source.

An air quality sensor includes a detector element array, a processor operatively connected to the detector element array, and a memory. The memory is disposed in communication with the processor and has instructions recorded on the memory that, when read by the processor, cause the processor to execute certain operations including measuring electrical resistance of one of more detector element of the detector element array. A difference is calculated between the measured resistance and a reference resistance, and a determination is made of presence or absence of a contaminant in air communicated to the detector element array from an atmosphere of an aircraft cabin based on the difference between the measured resistance and the reference resistance. Aircraft and methods of monitoring air quality also described.

Systems, apparatuses, and methods for monitoring an environment are provided. One system includes a monitoring unit positioned within an environment and including an acoustic sensor configured to generate detected acoustic data regarding acoustics in the environment, and a controller having one or more processors and one or more non-transitory memory devices that store instructions for controlling the one or more first processors to receive and store the detected acoustic data, determine, based on the detected acoustic data, whether a noise is above a threshold, and determine, based on the detected acoustic data and that the noise is above the threshold, an estimated source of the noise.

System and method for estimating how an atmospheric gas is distributed. A server receives prior data related to historical and/or theoretical global patterns of the gas, as well as measurements of the concentration and/or emission of the gas. The server passes the data and measurements to a database for storage and/or to at least one processor, which applies statistical inference methods to estimate a probability distribution of gas concentration and emission within the region. In one embodiment, the entire atmosphere is divided into numerous regions, and gas distributions are evaluated in each region, to thereby produce an estimated distribution covering the atmosphere. In some embodiments, the regions are divisions of an equirectangular projection of the Earth's surface and have a length and width of 0.025°.

A method of determining a presence, concentration or change in concentration of a first or second material in an environment is disclosed. The method comprises measuring a response of a first sensor to the first and second material, wherein the first sensor is one of a metal oxide sensor, an electrochemical sensor, a photoionisation sensor, an infrared sensor, a pellistor sensor, an optical particle monitor, a quartz crystal microbalance sensor, a surface acoustic wave sensor, a cavity ring-down spectroscopy sensor, or a biosensor. The method further comprises measuring a response of a second sensor to the first and second material, wherein the second sensor is another one of a metal oxide sensor, an electrochemical sensor, a photoionisation sensor, an infrared sensor, a pellistor sensor, an optical particle monitor, a quartz crystal microbalance sensor, a surface acoustic wave sensor, a cavity ring-down spectroscopy sensor, a biosensor or a field effect transistor sensor. The method further comprises determining from first and second sensor measurements, a presence, concentration or change in concentration of the first or second material.

Provided is a method for multi-information fusion of gas sensitivity and chromatography and on-site detection and analysis of flavor substances using an electronic nose instrument. The electronic nose instrument includes a gas sensor array module (I), a capillary gas chromatographic column module (II), an automatic headspace sampling module (III), a computer control and data analysis module (IV), an automatic lifter (V) for headspace sampling, a large-volume headspace vapor generation device (VI) and two auxiliary gas sources (VII-1, VII-2). The electronic nose instrument detects a large number of odorous samples to establish a big odor data. On this basis, the normalization fusion preprocessing is done, and the cascade machine learning model realizes both an on-site recognition of many foods, condiments, fragrances and flavors, and petroleum waxes and a real-time quantitative prediction of their odor quality grades and many key component concentrations.

A multi-sense platform is provided and includes a first sensor, a second sensor and a controller disposed in signal communication with the first sensor and the second sensor. The controller is configured to determine a presence of a first type of gas based on readings of the first sensor and to distinguish between a first one of the first type of gas and a second one of the first type of gas based on readings of the second sensor.