A process oxygen analyzer includes a process probe extendible into a flow of process combustion exhaust, the process probe having an oxygen sensor measurement cell. Measurement circuitry is coupled to the oxygen sensor measurement cell and configured to obtain a non-corrected indication of oxygen concentration relative to a combustion process based on an electrical characteristic of the oxygen sensor measurement cell. A controller is operably coupled to the measurement circuitry and is configured to obtain an indication of process pressure and selectively provide a corrected oxygen concentration output based on non-corrected indication of oxygen concentration and the indication of process pressure. A method of providing a process oxygen concentration using a process oxygen analyzer coupled to an industrial combustion process is also disclosed.

A method includes receiving data collected by at least one sensor on a robotic device, wherein the data is to be used for an ambient environment state representation, and wherein the data represents ambient environment measurements collected at locations of the at least one sensor when the robotic device is passively monitoring an environment such that robotic device navigation is not based on the ambient environment state representation. The method further includes determining the ambient environment state representation using the data collected by the at least one sensor on the robotic device. The method also includes identifying, based on the ambient environment state representation, one or more anomalous ambient environment measurements. The method additionally includes causing, based on the one or more identified anomalous ambient environment measurements, the robotic device to actively monitor the environment such that robotic device navigation is based on the ambient environment state representation.

A sensor assembly for monitoring gas concentration and a method of the same are provided. The sensor assembly includes a start-up sensor and a long-run sensor. The start-up sensor is characterized by a first power-on period and the long-run sensor is characterized by a second power-on period that is longer than the first power-on period. The sensor assembly also includes a controller in communication with the start-up sensor and the long-run sensor. The controller is configured to cause the start-up sensor and the long-run sensor to power on. The controller is further configured to power off the start-up sensor and monitor the gas concentration via the long-run sensor upon the expiration of the second power-on period. A corresponding method of monitoring gas concentration is also provided.

A sensor system includes an electrical circuit having plural leads coupled with one or more sensing regions. The sensing regions include gaps having sensing materials that detect an analyte of interest. The gaps close responsive to the sensing material corresponding to the gaps detecting the analyte of interest. One or more processors communicatively coupled with the electrical circuit receive electrical signals from the electrical circuit indicative of the gaps closing responsive to the sensing material of the corresponding gaps detecting the analyte of interest. The electrical circuit is in a closed position in the presence of the analyte of interest. The sensor system is configured to consume an increased amount of power when the electrical circuit is in the closed position relative to the electrical circuit in an open position responsive to the one or more of the gaps closing. A responsive action is determined based on the electrical signals.

An information management system (1) includes an odor sensor (2) and an information processor (3). The odor sensor (2) senses an odor emitted from a source (T). The information processor (3) includes a preference information inputter (11) and a user information acquirer (12). The user information acquirer (12) acquires user information indicating the attribute of a user. The preference information inputter (11) inputs preference information indicating the preference of the user for the odor sensed by the odor sensor (2). A storage (20) associates odor information indicating the kind of the odor sensed by the odor sensor (2), the user information acquired by the user information acquirer (12), and the preference information input into the preference information inputter (11) with each other, and stores the odor information, the user information, and the preference information.

A gas detection apparatus for cell module assemblies accurately and rapidly detects a damaged cell of a cell module assembly and the damaged position of the damaged cell. The gas detection apparatus includes a gas detection chamber configured to receive a cell module assembly; and a sliding die configured to be movable to the lower part of the gas detection chamber in the state in which the cell module assembly is disposed at the upper end thereof. The gas detection apparatus further includes a gas sensor provided in the gas detection chamber, the gas sensor including a plurality of gas sensors disposed so as to correspond to positions of cells of the cell module assembly. A gas detection method for cell module assemblies uses the gas detection apparatus for cell module assemblies.

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 for inverting aerosol components using a LiDAR ratio and a depolarization ratio, includes: S1. identifying sand dust, a spherical aerosol and a mixture of the sand dust and the spherical aerosol based on a depolarization ratio; S2. calculating a proportion of the sand dust in the mixture of the sand dust and the spherical aerosol; and S3. identifying soot and a water-soluble aerosol in the spherical aerosol based on a LiDAR ratio. In the present disclosure, only a wavelength with a polarization channel is needed, to identify the aerosol components, achieving high accuracy with low detection costs.

In a noise removing apparatus, a data acquisition unit acquires sets of odor data measured using a sensor with respect to a plurality of objects, each set of odor data representing features of an odor of an object by respective rates of a plurality of odor molecules. A noise component extraction unit extract a noise component using a set of odor data. A noise removing unit removes the noise component from each set of odor data to be processed.

An information handling system may include a chassis configured to house components of the information handling system and an air mover assembly comprising an enclosure, an air mover within the enclosure configured to drive airflow to cool one or more components of the information handling system, and a sensor within a path of the airflow and configured to detect a presence of matter harmful to one or more components of the information handling system.