A predictive sensor system has a memory that collects time series data from a sensor that detects a parameter of an atmosphere in an inhabitable space. Circuitry implements a trained predictive sensor model and generates predicted sensor measurement data for a future segment of time. The trained predictive sensor model includes a first trained model and a second trained model. The first trained model is more suitable for forecasting the predicted data in a first forecasting segment than the second trained model. The second trained model is more suitable for forecasting the predicted data in a second forecasting segment than the first trained model wherein the second forecasting segment comes later than the first forecasting segment. The circuitry also forecasts the predicted data in another time segment between the first forecasting segment and the second forecasting segment based on the time series data and the trained predictive sensor model.

A composite film framework that includes a support; a metal oxide layer on the support; and a metal organic framework film on the metal oxide layer 2, wherein a metal atom is shared by a metal oxide in the metal oxide layer and a metal organic framework in the metal organic framework film at an interface between the metal oxide layer and the metal organic framework film.

Direct detection of carbon dioxide leakage in a carbon storage well is obtained using an optical fiber adapted to be positioned in the carbon storage well, a detection unit operatively connected to the optical fiber, and a leak sensor section incorporated in the optical fiber.

A carbon dioxide detector includes a carrier impregnated with an ink composition containing a pH indicator, an alkaline agent, a water retention agent, and water, and has a water content of 30 to 40 mass %.

A safety system for a heating apparatus includes an inlet for receiving input gases for combustion and a flue for expelling flue gases. A carbon monoxide sensor is also included for monitoring carbon monoxide content in the heating apparatus. The safety system also includes a pressure switch which permits the input gases to mix with the flue gases based on the information from the carbon monoxide sensor.

A device for detecting airborne contaminants includes a protonated, electrically conductive sensing material with affinity for binding with, and capable of being deprotonated by, the airborne contaminant. Electronics measure a property of the sensing material that is sensitive to deprotonation and generates signals indicative of the airborne contaminant. A method for detecting airborne contaminants includes: determining a property change of the protonated, electrically conductive material; and determining presence of the airborne contaminant based on the change. A system for detecting airborne contaminants includes: a data center in remote communication with multiple sensing devices each having: protonated, electrically conductive sensing material with affinity for binding with, and capable of being depronated by, an airborne contaminant, and electronics for relaying signals indicative of a sensing material deprotonation property to the data center; and wherein a user associated with a sensing device is notified of an abnormal level of the airborne contaminant.

A carbon nanotube sensor device for detecting CO.sub.2 and methods of its production and use. A printable polyethylenimine (PEI)-functionalized carbon nanomaterial paste may be used to form the active sensing layer of the device, which is particularly sensitive to CO.sub.2. A separate printed heating layer may be used to maintain the working temperature of the sensor, as well as to remove and/or clear volatile gases from the sensor.

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.

Described herein is environmental sensors, sensor units, sensor systems and/or sensing methods. In particular, an agricultural or horticultural environment multi-sensor unit comprising a plurality of environmental sensors, including at least: an incident light sensor, a temperature sensor, a carbon dioxide sensor and a relative humidity sensor. The sensor unit may also comprise a wireless communication interface, the multi-sensor unit being configured to transmit data from the environmental sensors via the wireless communications interface.

A gas-concentration detector system incorporates a temperature sensor, a humidity sensor, and a gas-concentration detector the accuracy of which deviates as a function of temperature and humidity. Contemporaneous, real-time values of temperature, humidity, and gas concentration of a gas of interest are registered and communicated to a data processing system including a computer memory and a computer processor. Value-deviation data reflective of the degree to which the accuracy of the gas-concentration sensor deviates as a function of temperature and humidity are predetermined and stored in the computer memory. Provided with real-time gas-concentration, temperature, and humidity values, the computer processor executes a value-reconciling algorithm which, based on consultation with the stored value-deviation data, calculates and outputs a refined gas-concentration value more is accurately representative of the actual gas-concentration value within the selected environment in which gas-concentration detection and reporting is desired.