A system, device, and method for collecting and processing sensor data at an edge system is disclosed. The system includes (i) a bridge configured to receive time series sensor data sets from a plurality of environmental sensors and having a plurality of formats, and (ii) a data hub, coupled with the bridge, configured to parse each of the time series data sets, determine a sensor type and data format for each of the plurality of environmental sensors, and convert the data format to a predefined format.
A system, device, and method for collecting and processing sensor data at an edge system is disclosed. The system includes (i) a bridge configured to receive time series sensor data sets from a plurality of environmental sensors and having a plurality of formats, and (ii) a data hub, coupled with the bridge, configured to parse each of the time series data sets, determine a sensor type and data format for each of the plurality of environmental sensors, and convert the data format to a predefined format.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04W 4/38 - Services specially adapted for particular environments, situations or purposes for collecting sensor information
H04W 84/18 - Self-organising networks, e.g. ad hoc networks or sensor networks
H04L 65/00 - Network arrangements, protocols or services for supporting real-time applications in data packet communication
A method for monitoring air quality is described. The method includes measuring ethane and methane using a mobile sensor platform to provide sensor data. The sensor data includes methane data and ethane data captured at a nonzero mobile sensor platform speed. Methane and ethane peak(s) are identified in the sensor data. Correlation(s) between the methane and ethane peak(s) and/or between the methane peak(s) and at least one amount of 13C are determined. A source for the methane is determined based on the correlation.
G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
G01D 21/02 - Measuring two or more variables by means not covered by a single other subclass
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
A method and system for processing signals from a plurality of groups of sensors are described. Each group includes a first sensor and at least one additional sensor. A first sensor identifier and first sensor data are received from the first sensor. At least one additional sensor identifier and additional sensor data are also received from the additional sensor(s). The first sensor and the additional sensor(s) of each group are co-located. The first sensor identifier is associated with the additional sensor identifier(s) for each group. Calibration information for the first sensor is obtained based on the first sensor identifier and the additional sensor identifier(s). The calibration information is specific to the first sensor having the first sensor identifier. Corrected first sensor data for each of the groups is provided based on the first sensor data, the additional sensor data and the calibration information.
A method for associating environmental data with map features is described. The method includes receiving sensor data and receiving position data. The sensor data is associated with each of a plurality of time intervals and is from at least one sensor on at least one mobile sensor platform. The position data is associated with the plurality of time intervals and is from the at least one mobile sensor platform. Trajectories and corrected locations of the mobile sensor platform are generated for the plurality of time intervals using the position data. A position of the mobile sensor platform is assigned to a corresponding map feature for each of the plurality of time intervals based on the trajectories and corrected locations. The sensor data is also processed to generate sensor data values for each of the plurality of time intervals. The sensor data values are assigned to the corresponding map feature of the position of the mobile sensor platform for each of the plurality of time intervals.
Detection of volatile organic compounds (VOCs) is disclosed, including: receiving mobile sensor data, wherein the mobile sensor data includes volatile organic compounds (VOC) sensor data and non-VOC sensor data; identifying VOC peaks in the VOC sensor data; identifying non-VOC peaks in the non-VOC sensor data; correlating the VOC peaks with the non-VOC peaks; and determining a source type associated with the VOC peaks based at least in part on the correlation between the VOC peaks and the non-VOC peaks.
A system, device, and method for detecting leaks near an emitter is disclosed. The method includes (i) receiving, from one or more mobile sensors, a first stream of information indicative of a leak state, (ii) determining that an initial leak state exists based at least in part on the first stream of information indicative of the leak state, (iii) receiving a second stream of information indicative of a no-leak state, (iv) using a statistical model to determine that the leak state has ended based at least in part on the first stream of information and the second stream of information, (v) receiving a third stream of information indicative of the leak state, and (vi) determining that a new leak state exists, wherein the new leak state is a distinct leak state from the initial leak state.
G01D 21/02 - Measuring two or more variables by means not covered by a single other subclass
G01N 21/3504 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
G01N 1/22 - Devices for withdrawing samples in the gaseous state
A system, device, and method for detecting leaks near an emitter is disclosed. The method includes (i) receiving, from one or more mobile sensors, a first stream of information indicative of a leak state, (ii) determining that an initial leak state exists based at least in part on the first stream of information indicative of the leak state, (iii) receiving a second stream of information indicative of a no-leak state, (iv) using a statistical model to determine that the leak state has ended based at least in part on the first stream of information and the second stream of information, (v) receiving a third stream of information indicative of the leak state, and (vi) determining that a new leak state exists, wherein the new leak state is a distinct leak state from the initial leak state.
A system, device, and method for augmenting environmental data is disclosed. The method includes (i) obtaining an environmental dataset having a first data resolution, and (ii) determining an augmented environmental dataset based at least in part on the environmental dataset, a set of spatial features, a set of temporal features, and a set of spatiotemporal features. The model has a second data resolution that is finer than the first data resolution.
A system, device, and method for sensing air quality with a sensor platform is disclosed. The method includes (i) directing a set of mobile sensors to a coarse region wherein the coarse region has coarse size based on variance of prior air quality measurements taken at locations within a vicinity of the coarse region, and (ii) directing the set of mobile sensors to a fine region wherein the fine region has a fine size based on variance of prior air quality measurements taken at locations within a vicinity of the fine region. The variance of air quality measurements associated with the fine region is greater than a variance of air quality measurements associated with the coarse region.
A system, device, and method for sensing air quality with a sensor platform is disclosed. The method includes (i) directing an air quality measurement system to a predicted high information region wherein the predicted high information region is determined based on high variance of prior air quality measurements taken at different times, (ii) directing the air quality measurement system to a predicted low information region wherein the predicted low information region is determined based on low variance of prior air quality measurements taken at different times. The air quality measurement system is preferentially directed to the predicted high information region.
A method for associating environmental data with map features is described. The method includes receiving sensor data and receiving position data. The sensor data is associated with each of a plurality of time intervals and is from at least one sensor on at least one mobile sensor platform. The position data is associated with the plurality of time intervals and is from the at least one mobile sensor platform. Trajectories and corrected locations of the mobile sensor platform are generated for the plurality of time intervals using the position data. A position of the mobile sensor platform is assigned to a corresponding map feature for each of the plurality of time intervals based on the trajectories and corrected locations. The sensor data is also processed to generate sensor data values for each of the plurality of time intervals. The sensor data values are assigned to the corresponding map feature of the position of the mobile sensor platform for each of the plurality of time intervals.
A method and system for processing signals from a plurality of groups of sensors are described. Each group includes a first sensor and at least one additional sensor. A first sensor identifier and first sensor data are received from the first sensor. At least one additional sensor identifier and additional sensor data are also received from the additional sensor(s). The first sensor and the additional sensor(s) of each group are co-located. The first sensor identifier is associated with the additional sensor identifier(s) for each group. Calibration information for the first sensor is obtained based on the first sensor identifier and the additional sensor identifier(s). The calibration information is specific to the first sensor having the first sensor identifier. Corrected first sensor data for each of the groups is provided based on the first sensor data, the additional sensor data and the calibration information.
G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
G01D 21/02 - Measuring two or more variables by means not covered by a single other subclass
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
A method for monitoring air quality is described. The method includes measuring environmental components at multiple locations using multiple mobile sensor platforms to provide sensor data. The environmental components include particulate matter having a size range and ambient gases. The sensor data includes particulate matter data having the size range and ambient gas data captured at the plurality of locations. The method also includes determining a signature based on the particulate matter data including the size range, and at least one additional factor. The at least one additional factor includes the ambient gas data. The method also includes identifying a source based on the signature.
A method for monitoring air quality is described. The method includes measuring environmental components at multiple locations using multiple mobile sensor platforms to provide sensor data. The environmental components include particulate matter having a size range and ambient gases. The sensor data includes particulate matter data having the size range and ambient gas data captured at the plurality of locations. The method also includes determining a signature based on the particulate matter data including the size range, and at least one additional factor. The at least one additional factor includes the ambient gas data. The method also includes identifying a source based on the signature.
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
G01D 21/02 - Measuring two or more variables by means not covered by a single other subclass
G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
G01D 21/02 - Measuring two or more variables by means not covered by a single other subclass
18.
Method for detecting anomalies in environmental data
A method for assessing environmental data is described. The method includes receiving sensor data associated with each of a plurality of time intervals from at least one sensor on at least one mobile sensor platform. The sensor data is associated with position data corresponding to each of the plurality of time intervals. The position data corresponds to a plurality of positions having a characteristic distance not exceeding one hundred meters. The sensor data includes a plurality of measurements for each of the plurality of positions. The method includes determining, based on the sensor data and the position data, anomalous data including least one of a geographic anomaly or a temporal anomaly.
A technique for monitoring and collecting environmental data is provided that supports acquisition and analysis of quality measurements of pollutants by sensors based on different technologies in an integrated manner. The system includes a primary substrate having a plurality of sensor modules, each sensor module configured to couple to a sensor, and a manifold having a plurality of flow hoods, each flow hood disposed on a top surface of a sensor and connected to another flow hood or component in the manifold. In some cases, the sensor modules are gas sensor modules, and the sensor is a gas sensor. The manifold thus provides a closed system through which a fluid sample can flow across a series of gas sensors in an actively controlled manner that enables independent flow control over each individual gas sensor while limiting exposure of the fluid sample to potential sources of contamination.
A method and system for processing signals from a plurality of groups of sensors are described. Each group includes a first sensor and at least one additional sensor. A first sensor identifier and first sensor data are received from the first sensor. At least one additional sensor identifier and additional sensor data are also received from the additional sensor(s). The first sensor and the additional sensor(s) of each group are co-located. The first sensor identifier is associated with the additional sensor identifier(s) for each group. Calibration information for the first sensor is obtained based on the first sensor identifier and the additional sensor identifier(s). The calibration information is specific to the first sensor having the first sensor identifier. Corrected first sensor data for each of the groups is provided based on the first sensor data, the additional sensor data and the calibration information.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing an online web site featuring information relating to pollution and climate by providing air quality data and enabling users to search for air quality data at specific geographic locations
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing an online web site featuring information relating to pollution and climate by providing air quality data and enabling users to search for air quality data at specific geographic locations
A method for routing, through a geographic region over a time interval, a sensor platform mounted on a vehicle is described. The method includes receiving a precision level for at least one constituent of an environment measured by a sensor of the sensor platform. The precision level corresponds to a mean concentration of the constituents) over the time interval. A reference dataset corresponding to the geographic region and the time interval is selected. From the reference dataset and the precision level, at least one minimum number of distinct samples for a plurality of geographic segments of the geographic region is determined. The method also includes determining a number of passes for the geographic region over the time interval using the minimum number of distinct samples for each of the plurality of geographic segments. Each pass of the number of passes is part of a route for the vehicle.
G01D 1/00 - Measuring arrangements giving results other than momentary value of variable, of general application
G01D 1/14 - Measuring arrangements giving results other than momentary value of variable, of general application giving a distribution function of a value, i.e. number of times the value comes within specified ranges of amplitude
G01T 7/00 - Details of radiation-measuring instruments
G01T 7/04 - Collecting-means for receiving or storing samples to be investigated by filtration
G06F 15/02 - Digital computers in generalData processing equipment in general manually operated with input through keyboard and computation using a built-in program, e.g. pocket calculators
A method for routing, through a geographic region over a time interval, a sensor platform mounted on a vehicle is described. The method includes receiving a precision level for at least one constituent of an environment measured by a sensor of the sensor platform. The precision level corresponds to a mean concentration of the constituent(s) over the time interval. A reference dataset corresponding to the geographic region and the time interval is selected. From the reference dataset and the precision level, at least one minimum number of distinct samples for a plurality of geographic segments of the geographic region is determined. The method also includes determining a number of passes for the geographic region over the time interval using the minimum number of distinct samples for each of the plurality of geographic segments. Each pass of the number of passes is part of a route for the vehicle.
A method for associating environmental data with map features is described. The method includes receiving sensor data and receiving position data. The sensor data is associated with each of a plurality of time intervals and is from at least one sensor on at least one mobile sensor platform. The position data is associated with the plurality of time intervals and is from the at least one mobile sensor platform. Trajectories and corrected locations of the mobile sensor platform are generated for the plurality of time intervals using the position data. A position of the mobile sensor platform is assigned to a corresponding map feature for each of the plurality of time intervals based on the trajectories and corrected locations. The sensor data is also processed to generate sensor data values for each of the plurality of time intervals. The sensor data values are assigned to the corresponding map feature of the position of the mobile sensor platform for each of the plurality of time intervals.
A method for associating environmental data with map features is described. The method includes receiving sensor data and receiving position data. The sensor data is associated with each of a plurality of time intervals and is from at least one sensor on at least one mobile sensor platform. The position data is associated with the plurality of time intervals and is from the at least one mobile sensor platform. Trajectories and corrected locations of the mobile sensor platform are generated for the plurality of time intervals using the position data. A position of the mobile sensor platform is assigned to a corresponding map feature for each of the plurality of time intervals based on the trajectories and corrected locations. The sensor data is also processed to generate sensor data values for each of the plurality of time intervals. The sensor data values are assigned to the corresponding map feature of the position of the mobile sensor platform for each of the plurality of time intervals.
A method for monitoring air quality is described. The method includes measuring ethane and methane using a mobile sensor platform to provide sensor data. The sensor data includes methane data and ethane data captured at a nonzero mobile sensor platform speed. Methane and ethane peak(s) are identified in the sensor data. Correlation(s) between the methane and ethane peak(s) and/or between the methane peak(s) and at least one amount of 13C are determined. A source for the methane is determined based on the correlation.
G01N 21/31 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
G01D 21/02 - Measuring two or more variables by means not covered by a single other subclass
29.
INTEGRATION AND ACTIVE FLOW CONTROL FOR ENVIRONMENTAL SENSORS
A technique for monitoring and collecting environmental data is provided that supports acquisition and analysis of quality measurements of pollutants by sensors based on different technologies in an integrated manner. The system includes a primary substrate having a plurality of sensor modules, each sensor module configured to couple to a sensor, and a manifold having a plurality of flow hoods, each flow hood disposed on a top surface of a sensor and connected to another flow hood or component in the manifold. In some cases, the sensor modules are gas sensor modules, and the sensor is a gas sensor. The manifold thus provides a closed system through which a fluid sample can flow across a series of gas sensors in an actively controlled manner that enables independent flow control over each individual gas sensor while limiting exposure of the fluid sample to potential sources of contamination.
G01D 11/30 - Supports specially adapted for an instrumentSupports specially adapted for a set of instruments
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
H01L 21/50 - Assembly of semiconductor devices using processes or apparatus not provided for in a single one of the groups or
H01L 21/77 - Manufacture or treatment of devices consisting of a plurality of solid state components or integrated circuits formed in, or on, a common substrate
30.
Integration and active flow control for environmental sensors
A technique for monitoring and collecting environmental data is provided that supports acquisition and analysis of quality measurements of pollutants by sensors based on different technologies in an integrated manner. The system includes a primary substrate having a plurality of sensor modules, each sensor module configured to couple to a sensor, and a manifold having a plurality of flow hoods, each flow hood disposed on a top surface of a sensor and connected to another flow hood or component in the manifold. In some cases, the sensor modules are gas sensor modules, and the sensor is a gas sensor. The manifold thus provides a closed system through which a fluid sample can flow across a series of gas sensors in an actively controlled manner that enables independent flow control over each individual gas sensor while limiting exposure of the fluid sample to potential sources of contamination.
G01N 5/02 - Analysing materials by weighing, e.g. weighing small particles separated from a gas or liquid by absorbing or adsorbing components of a material and determining change of weight of the adsorbent, e.g. determining moisture content
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
A method and system for processing signals from a plurality of groups of sensors are described. Each group includes a first sensor and at least one additional sensor. A first sensor identifier and first sensor data are received from the first sensor. At least one additional sensor identifier and additional sensor data are also received from the additional sensor(s). The first sensor and the additional sensor(s) of each group are co-located. The first sensor identifier is associated with the additional sensor identifier(s) for each group. Calibration information for the first sensor is obtained based on the first sensor identifier and the additional sensor identifier(s). The calibration information is specific to the first sensor having the first sensor identifier. Corrected first sensor data for each of the groups is provided based on the first sensor data, the additional sensor data and the calibration information.
A method and system for utilizing environmental data are described. The method includes receiving external environmental data and receiving in-cabin environmental data. A mitigation action for an in-cabin environment of a vehicle is provided. The mitigation action is based on the external environmental data and the in-cabin environmental data.
A method and system for utilizing environmental data are described. The method includes receiving external environmental data and receiving in-cabin environmental data. A mitigation action for an in-cabin environment of a vehicle is provided. The mitigation action is based on the external environmental data and the in-cabin environmental data.
A method for processing sensor data in a distributed sensor system includes generating aggregated sensor data values associated with a first sensor and belonging to one or more aggregation time intervals, tagging each aggregated sensor data value with an aggregation indicator. The aggregation indicator has a first value indicating partial aggregation and has a second value indicating complete aggregation. In some embodiments, the method combines the partially aggregated sensor data belonging to the same time interval into a complete aggregated sensor data.
A method for processing sensor data in a distributed sensor system includes generating aggregated sensor data values associated with a first sensor and belonging to one or more aggregation time intervals, tagging each aggregated sensor data value with an aggregation indicator. The aggregation indicator has a first value indicating partial aggregation and has a second value indicating complete aggregation. In some embodiments, the method combines the partially aggregated sensor data belonging to the same time interval into a complete aggregated sensor data.
THE BOARD OF TRUSTEES OF THE UNIVERSITY OF ILLINOIS (USA)
THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (USA)
ACLIMA, INC. (USA)
U.S. ENVIRONMENTAL PROTECTION AGENCY (USA)
Inventor
Paprotny, Igor
Mahdavipour, Omid
Fahimi, Dorsa
Gundel, Lara
White, Richard
Solomon, Paul
Gould, Ben
Doering, Frederick
Wolsey, Dave
Lunden, Melissa
Ozaki, Stacy
Abstract
Microfabricated PM sensors measure concentrations of particulate matter (PM) in air. Some sensors improve the accuracy of measurements by accounting for the effect of ambient conditions (e.g., temperature or humidity) on mass-sensitive elements employed to determine a mass of the PM in a stream of air. Some sensors improve the accuracy of measurements by controlling humidity in the stream of air measured by mass-sensitive elements. Some sensors employ a plurality of mass-sensitive elements to extend the useful life of the PM sensor. Some sensors employ one or more mass-sensitive elements and heating elements to cause deposition and allow measurement of different sizes of PM. Some sensors can measure mass concentration of coarse PM in addition to fine PM in a stream of air. Some sensors control the flow rate of a stream of air measured by mass-sensitive elements. Some sensors include features to mitigate electromagnetic interference or electromagnetic signal loss.
Methods, systems, and devices are described for calibrating a sensor of a distributed sensor system. More specifically, the described features generally relate to calibrating one sensor of such a system using information from one or more other sensors of the system. A calibration model may be determined based at least in part on a difference in geospatial location of the sensors. Further, in the case of one or both sensors being mobile, the difference in geospatial location of the sensors may vary over time such that different calibration models may apply to different portions of the sensed data. Also, the relative quality of the data sensed by the sensors may be taken into account for calibration (e.g., directionality of the calibration).
42 - Scientific, technological and industrial services, research and design
Goods & Services
Providing temporary use of online, non-downloadable software for collecting, analyzing, storing, and sharing technical air and water quality, pollution, humidity, mold, bacteria and environmental data
39.
Distributed sensor system with remote sensor nodes and centralized data processing
A distributed sensor system includes a set of spatially distributed base units and a central server both in communication with a data network. Each base unit includes a controller and one or more sensor modules where each sensor module includes a sensor configured to measure an air quality parameter. Each base unit transmits raw sensor data associated with each of the sensor modules over the data network and the central server receives the raw sensor data from the base units and stores the raw sensor data in a database.
G01D 18/00 - Testing or calibrating apparatus or arrangements provided for in groups
G01N 21/00 - Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
G01D 21/00 - Measuring or testing not otherwise provided for
G01N 33/00 - Investigating or analysing materials by specific methods not covered by groups
G01N 21/3504 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Sensors for measuring environmental parameters, namely humidity, mold, bacteria, and air and water quality, excluding instruments relating to humidifiers, air cleaners, vaporizers and filters; sensors for measuring environmental parameters, namely humidity, mold, bacteria, and air and water quality, not for medical use, excluding sensors relating to humidifiers, air cleaners, vaporizers and filters; computer software in the field of environmental pollution, toxin and waste monitoring and analysis, for measuring and analysis of environmental parameters, namely humidity, mold, bacteria, and air and water quality, excluding computer software relating to humidifiers, air cleaners, vaporizers and filters. (1) Environmental monitoring and analysis services for determining humidity, mold bacteria and air and water quality of homes, workplaces, schools, hospitals, and public gathering spaces, excluding services relating to the monitoring or analysis of humidifiers, air cleaners, vaporizers and filters.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Sensors for measuring environmental parameters, namely humidity, mold, bacteria, and air and water quality, excluding instruments relating to humidifiers, air cleaners, vaporizers and filters; sensors for measuring environmental parameters, namely humidity, mold, bacteria, and air and water quality, not for medical use, excluding sensors relating to humidifiers, air cleaners, vaporizers and filters; computer software in the field of environmental pollution, toxin and waste monitoring and analysis, for measuring and analysis of environmental parameters, namely humidity, mold, bacteria, and air and water quality, excluding computer software relating to humidifiers, air cleaners, vaporizers and filters. (1) Environmental monitoring and analysis services for determining humidity, mold bacteria and air and water quality of homes, workplaces, schools, hospitals, and public gathering spaces, excluding services relating to the monitoring or analysis of humidifiers, air cleaners, vaporizers and filters.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Water quality sensor and measurement devices and software; water quality measurement and analysis software; scientific, electrical and electronic apparatus and instruments for measuring, monitoring, checking, sensing, recording and analysing water data; electronic publications relating to air, water, and the environment; Electronic-based instruments for measuring water quality; sensors for measuring water quality, not for medical use; computer software for measuring and analysis of water quality. Promoting public awareness of the environment; promoting public awareness of air, water, and environmental quality and conservation; promotional campaigning and advertising services to raise public awareness of the environment, ecology, conservation and improved farming methods; direct marketing to raise public awareness of air, water, and environmental quality and issues; dissemination of information for promoting public awareness of air, water, and environmental quality issues. Water quality measurement and analysis services; software as a service in the field of water quality measurement and analysis; research in the field of environmental protection; technical consulting in the field of air, water and environment quality; compilation and provision of information in the field of water quality; environmental conservation, testing, surveys and assessment; design and development of measuring and analyzing devices; testing, analysing and monitoring of water quality; advisory, information and consultancy services connected with the environment; Technical water quality monitoring and analysis services.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Air, water, and environmental quality sensor and measurement devices and software; air, water, and environmental quality measurement and analysis software; scientific, electrical and electronic apparatus and instruments for measuring, monitoring, checking, sensing, recording and analysing air, water and environmental data; computer software; laboratory apparatus and instruments; electronic publications relating to air, water, and the environment; Electronic-based instruments for measuring environmental parameters including humidity, mould, bacteria, and/or air and water quality; sensors for measuring environmental parameters including humidity, mould, bacteria, and/or air and water quality, not for medical use; computer software for measuring and analysis of environmental parameters including humidity, mould, bacteria, and/or air and water quality. Promoting public awareness of the environment; promoting public awareness of air, water, and environmental quality and conservation; promotional campaigning and advertising services to raise public awareness of the environment, ecology, conservation and improved farming methods; direct marketing to raise public awareness of air, water, and environmental quality and issues; dissemination of information for promoting public awareness of air, water, and environmental quality issues. Air, water, and environmental quality measurement and analysis services; software as a service in the field of air, water, and environmental quality measurement and analysis; research in the field of environmental protection; technical consulting in the field of air, water and environment quality; compilation and provision of information in the field of air, water and environment quality; environmental conservation, testing, surveys and assessment; design and development of measuring and analyzing devices; testing, analyzing and monitoring of air, water and environment quality; advisory, information and consultancy services connected with the environment; Technical air and water quality and environmental monitoring and analysis services.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Air, water, and environmental quality sensor and measurement devices and software; air, water, and environmental quality measurement and analysis software; scientific, electrical and electronic apparatus and instruments for measuring, monitoring, checking, sensing, recording and analysing air, water and environmental data; computer software; laboratory apparatus and instruments; electronic publications relating to air, water, and the environment; Electronic-based instruments for measuring environmental parameters including humidity, mould, bacteria, and/or air and water quality; sensors for measuring environmental parameters including humidity, mould, bacteria, and/or air and water quality, not for medical use; computer software for measuring and analysis of environmental parameters including humidity, mould, bacteria, and/or air and water quality. Promoting public awareness of the environment; promoting public awareness of air, water, and environmental quality and conservation; promotional campaigning and advertising services to raise public awareness of the environment, ecology, conservation and improved farming methods; direct marketing to raise public awareness of air, water, and environmental quality and issues; dissemination of information for promoting public awareness of air, water, and environmental quality issues. Air, water, and environmental quality measurement and analysis services; software as a service in the field of air, water, and environmental quality measurement and analysis; research in the field of environmental protection; technical consulting in the field of air, water and environment quality; compilation and provision of information in the field of air, water and environment quality; environmental conservation, testing, surveys and assessment; design and development of measuring and analyzing devices; testing, analyzing and monitoring of air, water and environment quality; advisory, information and consultancy services connected with the environment; Technical air and water quality and environmental monitoring and analysis services.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Technical air and water quality and environmental monitoring and analysis services for detecting and measuring pollution, humidity, mold, and bacteria in air and water
09 - Scientific and electric apparatus and instruments
Goods & Services
Electronic-based instruments for measuring environmental parameters including humidity, mold, bacteria, and air and water quality; sensors for measuring environmental parameters, namely, humidity sensors, pollutant sensors, sensors for detecting the presence of mold in air, sensors for measuring concentrations of chemicals in water, sensors for measuring the presence of bacteria and mold in air and water, not for medical use; computer software for measuring and analysis of environmental parameters, namely, humidity, mold, bacteria, and air and water quality
A distributed sensor system includes a set of spatially distributed base units and a central server both in communication with a data network. Each base unit includes a controller and one or more sensor modules where each sensor module includes a sensor configured to measure an air quality parameter. Each base unit transmits raw sensor data associated with each of the sensor modules over the data network and the central server receives the raw sensor data from the base units and stores the raw sensor data in a database.
A distributed sensor system includes a set of spatially distributed base units and a central server both in communication with a data network. Each base unit includes a controller and one or more sensor modules where each sensor module includes a sensor configured to measure an air quality parameter. Each base unit transmits raw sensor data associated with each of the sensor modules over the data network and the central server receives the raw sensor data from the base units and stores the raw sensor data in a database.
G01N 21/3504 - Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing gases, e.g. multi-gas analysis
G01D 18/00 - Testing or calibrating apparatus or arrangements provided for in groups
G01D 21/00 - Measuring or testing not otherwise provided for
Methods of calibrating sensors in a distributed sensor system including a set of spatially distributed base units in communication with a central server over a data network include using a reference sensor, using a reference base unit, using crowd-sourced calibration, using sensor data collected in the same base unit, using sensor cross-sensitivity, or using sensor data from known environmental conditions.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Air, water, and environmental quality sensor and measurement devices and software; air, water, and environmental quality measurement and analysis software; scientific, electrical and electronic apparatus and instruments for measuring, monitoring, checking, sensing, recording and analysing air, water and environmental data; computer software; laboratory apparatus and instruments; electronic publications relating to air, water, and the environment. Promoting public awareness of the environment; promoting public awareness of air, water, and environmental quality and conservation; promotional campaigning and advertising services to raise public awareness of the environment, ecology, conservation and improved farming methods; direct marketing to raise public awareness of air, water, and environmental quality and issues; dissemination of information for promoting public awareness of air, water, and environmental quality issues. Air, water, and environmental quality measurement and analysis services; software as a service in the field of air, water, and environmental quality measurement and analysis; research in the field of environmental protection; technical consulting in the field of air, water and environment quality; compilation and provision of information in the field of air, water and environment quality; environmental conservation, testing, surveys and assessment; design and development of measuring and analyzing devices; testing, analyzing and monitoring of air, water and environment quality; advisory, information and consultancy services connected with the environment.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Electronic-based instruments for measuring environmental parameters including humidity, mold, bacteria, and/or air quality; sensors for measuring environmental parameters including humidity, mold, bacteria, and/or air quality, not for medical use; computer software for measuring and analysis of environmental parameters including humidity, mold, bacteria, and/or air quality Technical air quality and environmental monitoring and analysis services
