A method for estimating a mapping of the concentration of an analyte in an environment uses sensors distributed in the environment. Each sensor generates a measurement of the analyte concentration at various measurement instants, which measurements are carried out by each sensor at each measurement instant, forming an observation vector, each term of which corresponds to a measurement arising from a sensor. The environment is spatially meshed with a plurality of mesh cells. The analyte concentration at each mesh cell, at each measurement instant, forms a “state vector,” each term of which corresponds to an analyte concentration in a mesh cell. A “global bias” is determined and used to correct the state vector to obtain a “debiased state vector.” The state vector is also corrected by a local correction vector as a function of a correction vector.

A management system includes a processor system in operative connection with a communication system. The communication system is configured to be in communicative connection with a gas monitoring system of an entity. The gas monitoring system further includes one or more portable gas detection instruments which include one or more gas sensors and a rechargeable battery system. The gas monitoring system further includes one or more chargers configured to charge the rechargeable battery system of each of the portable gas detection instruments. The management system further includes a memory system in operative connection with the processor system. The memory system includes an algorithm executable by the processor system stored therein and a database associated with the algorithm stored therein, which includes data identifying each of the chargers as an asset of the entity and each of the portable gas detection instruments as an asset of the entity.

A system and method for monitoring and identifying air quality for indoor spaces. A method includes receiving sensor data from a plurality of sensors, each of the plurality of sensors are associated with corresponding locations of an indoor space, and determining air quality for each of the locations of the indoor space. The method includes identifying each of the locations exceeding an air quality threshold based at least in part on comparing the sensor data to the air quality threshold, and transmitting a notification to one or more devices, wherein the notification includes air quality information for each of the locations.

In accordance with an embodiment, a sensing device for sensing an environmental parameter includes a measurement module configured for providing a sequence of measurement values in dependence on the environmental parameter; a communication module configured for communicating with a further sensing device; and a function analysis module coupled to the measurement module and the communication module. The function analysis module configured for using a neural network for determining a first temporal feature on the basis of the sequence of measurement values, and determining, on the basis of the first temporal feature and on the basis of a second temporal feature provided by the further sensing device, information about a functional state of the measurement module.

A system and method for remote calibration of an air-quality sensor device. The method includes receiving sensor data from at least one sensor device; analyzing the received sensor data to identify at least statistically-significant values indicating on at least drift from initial calibrated values of each of the at least one sensor device; for each identified drifted sensor device, computing re-calibration updates, wherein the re-calibration updates adjust the initial calibrated values such that readings of the respective drifted sensor device fall within a range of expected values; and transmitting the re-calibration updates to the respective drifted sensor device, wherein the respective drifted sensor device upon receiving the re-calibration updates is configured to update its calibration parameters.

A method and a device for detecting odor nuisances along a route of a subject transportation vehicle and for predictively initiating measures for preventing the penetration of the odorants of the odor nuisance into the subject transportation vehicle during travel. The method includes collecting swarm data from a plurality of swarm transportation vehicles in the surroundings of the route of the subject transportation vehicle, relating to the odor nuisance of each swarm transportation vehicle, ascertaining locations of an odor nuisance from the collected swarm data, ascertaining the extent of the odor nuisance around the respective location of the odor nuisance, and initiating measures in the subject transportation vehicle when approaching the location of an odor nuisance while taking into account the extent of the odor nuisance along the future route, wherein the measure is implemented at a predefined distance from the extent of the odor nuisance.

Described herein is a chemical sensing system that can be deployed in an environment and automatically monitor the environment. The chemical sensing system includes one or more chemical sensing units with sensing elements that sense chemicals in the environment. The chemical sensing system analyzes measured values output by the sensing elements to identify patterns indicative of events. After identifying an event, the chemical sensing system may generate an inference about the environment using measured values output by the sensing elements during the event.

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.

Systems and methods are described for securely monitoring a shipping container for an environmental anomaly using elements of a wireless node network of sensor-based ID nodes disposed within the container and a command node associated with the container. The method has the command node identifying which of the ID nodes are confirmed as trusted sensors based upon a security credential specific to each of the ID nodes; monitoring only the confirmed ID nodes for sensor data broadcast those ID nodes; detecting the anomaly based upon the sensor data from at least one of the confirmed ID nodes; automatically generating an alert notification related to the detected environmental anomaly for the shipping container; and transmitting the alert notification to the external transceiver to initiate a mediation response related to the detected environmental anomaly.

A portable device for measuring gas in a closed space includes an air intake and exhaust unit configured to suction external air and discharge the suctioned air, a sensor unit configured to measure characteristics of the air suctioned by the air intake and exhaust unit, a communication unit configured to communicate with a host system, a power supply unit configured to supply power to the air intake and exhaust unit, the sensor unit, and the communication unit, and a control unit configured to control the air intake and exhaust unit, the sensor unit, the communication unit, and the power supply unit so that the sensor unit measures the characteristics of the air suctioned by the air intake and exhaust unit and configured to transmit measurement information to the host system through the communication unit.