807 results about "Air quality monitoring" patented technology

An air monitoring system is disclosed having an air monitoring unit with at least one sensor for measuring data of an air quality parameter and a computer for storing the air quality parameter data received from the sensor. The air monitoring unit may use an installed or a portable system, or a combination of both, for measuring the air quality parameters of interest. A remote data center may be provided, and the data may be uploaded to the data center from the unit by a communications media such as the Internet. Information or instructions may also be downloaded from the data center to the unit via the communications media for controlling or modifying the function of the unit. An expert system may be provided with the air monitoring system for controlling the unit. The information or instructions downloaded to the unit may be generated by the expert system.

An air quality monitoring and management system adapted to be mounted between an existing thermostat and a wall in which the thermostat was previously mounted, or directly at the HVAC system. The air quality monitoring and management system contains various wires for connecting to both a thermostat and HVAC system, thereby effectively intercepting the signal between the thermostat and HVAC system. The air quality monitoring and management system includes air quality measuring sensors, a housing for mounting between the wall and thermostat, and a controller that supplies electrical signals to the HVAC system through use of the aforementioned wires to supplement the control of the HVAC fan in conjunction with the thermostat to help increase air flow in the affected area. The air quality monitoring and management system may include an air quality management controller mounted to an HVAC air handling unit, and wirelessly connected to sensors.

The invention provides a mobile traffic environment air quality monitoring system, which comprises a server and a plurality of monitoring terminals. Each monitoring terminal is arranged on a motor vehicle, and comprises a sensor module, a positioning module, a communication module and a control module, wherein the sensor module is used for collecting air quality monitoring data; the positioning module is used for collecting time information and positional information of the monitoring terminal; the communication module is used for sending the air quality monitoring data collected by the sensor module and the time information and the positional information of the monitoring terminal collected by the positioning module to the server, and receiving an acquisition instruction sent by the server; and the control module is used for controlling the sensor module and the positioning module to collect corresponding data. The server is used for receiving the air quality monitoring data, the time information and the monitoring terminal positional information sent by the plurality of monitoring terminals and sending the acquisition instruction to the plurality of monitoring terminals. The system can monitor the city traffic environment at a lower cost.

The invention discloses an air quality monitoring method, an air quality monitoring system and an air quality monitoring device based on mobile terminals. The method comprises the following steps that each mobile terminal monitors the air quality of a position point at which the mobile terminal is positioned to obtain air quality data, acquires position information of the position point and reports the position information and the air quality data to an air quality management server; the air quality management server analyzes the air quality of the specific location according to the position information and the air quality data. The number of the mobile terminals is extremely large, so that the acquired data volume is also extremely large, and the air quality condition of any location in a city can be analyzed. Furthermore, the monitoring of the air quality is not limited in large-range regions such as cities and municipal districts and can be even in accurate small-range regions such as schools, residential areas and streets.

An air monitoring system is disclosed having an air monitoring unit with at least one sensor for measuring data of an air quality parameter and a computer for storing the air quality parameter data received from the sensor. The air monitoring unit may use an installed or a portable system, or a combination of both, for measuring the air quality parameters of interest. A remote data center may be provided, and the data may be uploaded to the data center from the unit by a communications media such as the Internet. Information or instructions may also be downloaded from the data center to the unit via the communications media for controlling or modifying the function of the unit. An expert system may be provided with the air monitoring system for controlling the unit. The information or instructions downloaded to the unit may be generated by the expert system.

The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region.

The invention discloses an air-quality monitoring system based on electronic nose technique, and a monitoring method thereof. The system is characterized by being provided with a sensor signal conditioning circuit, wherein a quality detection input end group of the sensor signal conditioning circuit is connected to a gas sensor group; the output end of the sensor signal conditioning circuit is connected to a sensor array signal preprocessor; the output end of the sensor array signal preprocessor is connected to a central processing unit; and a display end of the central processing unit is connected to a display. The system has the advantages that the discreteness problem of a metallic oxide sensor and the mutual interference problem of various gases are better solved by utilizing a virtual resistance method and a specific algorithm provided by the invention, thereby greatly promoting the output precision of the system, being capable of calculating the concentration values of different outputted gases, and determining the type of the gases, and simultaneously finishing the qualitative and quantitative identification of gases, and one output of an artificial neural network represents one gas.

The invention relates to the field of air quality monitoring, in particular to an environmental simulation test box for quantitatively analyzing PM2.5 (fine particulate matter) absorbing capability of plants. The environmental simulation test box comprises a closable box body, a PM2.5 generator, a PM2.5 measuring device, a constant-temperature constant-humidity device, a lighting simulating device, a raining simulating device and a wind simulating device, wherein the PM2.5 generator and the PM2.5 measuring device are communicated with the box body, and the constant-temperature constant-humidity device, the lighting simulating device, the raining simulating device and the wind simulating device are disposed in the box body. By the structure, influences of natural environments can be isolated, environmental parameters can be simulated quantitatively, and accordingly PM2.5 absorbing capability of plants can be measured accurately, and scientific and effective basis is provided for quantifying PM2.5 absorbing capability of various plants and forest planting selection.

The invention relates to an intelligent home furnishing, aims at the problem that in the prior art a kitchen gas range system cannot timely prompt a user whether fuel gas is closed, and provides an intelligent kitchen gas range system including a power module, an air draft motor, an igniter, a flameout protection device and a gas regulating valve, also comprises a communication module, a radio frequency module, a kitchen gas range intelligent control module, a range hood intelligent control module, a gas sensor, a kitchen gas range control panel, a range hood control panel and an air quality monitoring module, the power module, the igniter, the flameout protection device, the gas regulating valve, the gas sensor and the kitchen gas range control pane are respectively connected with the kitchen gas range intelligent control module, the kitchen gas range intelligent control module is connected with the range hood intelligent control module by the radio frequency module, and the range hood intelligent control module is respectively connected with the communication module, the power module, the air draft motor, the range hood control panel and the air quality monitoring module. The intelligent kitchen gas range system is suitable for the intelligent smoke stove system.

The invention provides an electronic nose air quality monitoring system and method based on cloud computing. The system is provided with an electronic nose cloud terminal, a cloud monitoring center and a mobile phone client. A mode recognition network, a concentration computing network, a pollution source positioning network and an air quality forecasting network are configured on the cloud monitoring center. The electronic nose air quality monitoring system has the advantages that system integrates technologies such as an electronic nose, cloud computing, Internet of Things, clean energy and manual neural network, air quality and position information of each monitoring point are collected in real time and stored, information such as pollution gas category, concentration, pollution source position and air quality forecasting of each monitoring point is obtained after algorithm processing, and results are pushed to the mobile phone client, a large-range and large-scale air quality remote real-time monitoring and forecasting function is achieved, the monitoring results are precise, and the monitoring function is powerful.

The invention discloses an urban air quality concentration monitoring missing data recovering method. The method comprises the steps of acquiring general environmental factors affecting the air quality concentration of each monitoring station within a city, and predicting the air quality concentration at a future moment of each monitoring station (including normal stations and fault stations) according to general environmental factor historical data and historical air quality concentration monitoring data; comparing monitoring data at the future moment of the normal working monitoring stations with the predicted concentration based on the historical data to obtain the difference between the monitoring concentration at the future moment and the predicted concentration, and estimating the difference between air quality monitoring concentration at the future moment of the fault monitoring stations and the prediction concentration based on the historical data by means of the spatial correlation theory; amending air quality concentration results, at the future moment, predicted based on the historical data, of the fault stations by means of the fault monitoring station difference obtained from the last step to generate recovered air quality concentration monitoring data at the future moment of the fault monitoring stations.

The invention discloses a data fusion-based atmosphere particulate matter remote sensing monitoring method, and relates to the technical field of air quality monitoring. According to the method, particulate matter concentration data of complete coverage space are obtained by fusing satellite remote sensing inversion data and ground surface monitoring data and performing interpolation operation on a fused result, so that the problem of particulate matter concentration data deficiency caused by weather, a satellite orbit interval, a cloud cover problem and the limitation of a dim target inversion algorithm is effectively solved, and the accuracy rate of air quality monitoring is greatly improved.

The invention provides a multi-source data fusion and environmental pollution source and pollutant distribution analysis method. Specifically, the method is mainly composed of data preprocessing, aerosol retrieval, and PM 2.5 inversion; the data preprocessing performs a series of processing on original remote sensing data, outputs data that meets requirements of model operation to be utilized as adata basis of an inversion module, and performs preprocessing operation on the atmospheric remote sensing data used by remote sensing monitoring, and a process of the data preprocessing involves a geometric correction and radiation correction method, a high-precision image registration method, a multi-source satellite data fusion method, cloud removal and shadow processing, and an atmospheric correction link; and the method utilizes GF series data as a main remote sensing data source, combines ground monitoring equipment, develops remote sensing monitoring of particulate matter PM 2.5 and draws a thematic map, and provides remote sensing technology and information support for air quality monitoring and management work of Beijing-Tianjin-Hebei regions.

Provided is an in-car air quality monitoring and purification regulating system. A storage battery and three devices respectively powered by the storage battery are installed in a car. The three devices are a ventilating device, an adsorption and filtering device and a heating device. A temperature and humidity sensor, a formaldehyde sensor, a carbon monoxide sensor, a total volatile organic compound sensor and an inhalable particle sensor which are installed in the car are respectively connected with a system control module, and the system control module comprises a sensor signal processing circuit and a power supply on-off control circuit for the three devices. The system can monitor indexes such as in-car air quality and temperature and humidity in real time and start the three devices according to the index overproof conditions; the indexes can also be uploaded through the wireless network to a mobile by the system control module to be displayed in real time; the mobile phone can send instructions to the system control module according to users' requirements to start or shut down the three devices in real time, and purification adjustment of in-car air is achieved.

The invention discloses a system for realtime monitoring of city full-area air quality. The system comprises an air quality monitoring system and more than one vehicle-mounted intelligent service terminal, each vehicle-mounted intelligent service terminal comprises a GPS (global positioning system) positioning module, an air quality monitoring sensor, an information processing module and a wireless communication module, each information processing module is used for combining longitude and latitude, time and air quality data, each air quality monitoring system comprises a network connection module and a map engine, and each map engine is used for drawing a city full-area air quality realtime monitoring picture according to the air quality data at different positions. The invention further discloses a realizing method of the system. Realtime monitoring of the city full-area air quality is realized by arranging the air quality monitoring sensors on a lot of vehicles to movably collect the air quality data and utilizing a realtime positioning function of a vehicle-mounted GPS.

The invention provides an automobile air quality monitoring and purifying system which is controlled automatically, has convenient usage and low energy consumption and can display in a quantizing way; the automobile air quality monitoring and purifying system comprises a harmful gas detection sensor group, a dust particle detection sensor, a central processing unit, an interior air purifying machine and a control module; the harmful gas detection sensor group detects harmful gas in the automobile and transmits a detection result of the harmful gas to the central processing unit; the dust particle detection sensor detects the dust particles in the air in the automobile and transmits a detection result of the dust particles to the central processing unit, the detection result of the dust particles and the detection result of the harmful gas are compared with presetting standard by the central processing unit, and the central processing unit sends out a control command to the control module according to the comparison result, and the control module controls the interior air purifying machine according to the control command.

The invention discloses a networking on-line monitoring system for urban air quality, comprising a plurality of monitor terminals which are arranged in a monitored environment, a remote monitoring center and a wireless communication system which is used for realizing data telecommunication between the monitor terminals and the remote monitoring center, wherein each monitor terminal consists of a wireless transceivers, air quality monitoring sensors which are connected with the wireless transceivers and a power supply which are used for respectively supplying power to the wireless transceivers and the air quality monitoring sensor; the wireless transceivers are connected to the wireless communication system; the air quality monitoring sensors are one or more than one of a temperature sensor, a humidity sensor, a poisonous and harmful gas sensor, a dust concentration sensor and a gas pressure sensor; and the remote monitoring center is a server pre-loaded with monitoring software. The system disclosed by the invention has the advantages of simple structure, reasonable design, convenience for popularization and use, high intelligent degree, strong adaptability and good using effect, therefore, requirements of environment monitoring departments are practically satisfied.

The invention relates to an energy efficiency monitoring method and system capable of balancing air-conditioning energy saving and environmental air quality monitoring. The method is characterized by including step 1, monitoring and displaying microenvironment conditions, namely outdoor temperature, outdoor humidity, indoor temperature, indoor humidity, indoor CO2 solubility, air conditioner operating states and window opening and closing states in offices in real time; and step 2, providing a microenvironment alarming function, namely operating an air conditioner correspondingly and giving alarming prompts when the microenvironment under the conditions. According to the method, environmental air quality can be monitored in real time on the basis of air-conditioning energy saving control, office environment health and equipment energy saving are combined, and the people-oriented saving theory is shown.

The invention discloses a cloud data joint debugging calibration method based on a machine learning algorithm, and belongs to the air monitoring technical field; a meshing air monitoring platform, a cloud server and an equipment management system are provided; the meshing air monitoring platform provides air pollutant and meteorology data gathered by meshing air quality monitoring micro-stations and national standard monitoring stations, and sends the gathered data to a Hbase database in the cloud server; the cloud server reads the air quality monitoring micro-station and national standard monitoring station gathered data in the Hbase database in the cloud server, carries out data consistency contrast, and determines whether the air quality monitoring micro station data is deviated or not;if yes, a data calibration model can calibrate the data and outputs calibrated parameters; the cloud server can send the calibrated parameters to the equipment management system via a communication unit, thus effectively solving the air quality monitoring micro station data deviation problems; the cloud automatic calibration can be realized, thus ensuring the monitoring data quality usability.

In various embodiments, an air quality-monitoring system (100) may include at least one sensor (106) configured to detect operation of a mechanism (110) within or at a boundary of an indoor environment. The mechanism may be external to an air purifier (102) associated with the indoor environment. The system may include a persistent memory (124) for storing data about the indoor environment observed by the at least one sensor (106). A controller (104) may be communicatively coupled with the at least one sensor and configured to: assemble the data into an air quality profile associated with that environment; determine, based on a signal from the at least one sensor and on the air quality profile, a likelihood that operation of the mechanism will cause a measure of air quality within the indoor environment to fail one or more air quality criteria; and selectively provide, based on the likelihood, an indication that operation of the mechanism will cause the measure of air quality within the indoor environment to fail the one or more air quality criteria.

The invention provides an air quality monitoring and evaluating method. The method is based on an air quality evaluation model QOI algorithm, and is used for monitoring and evaluating the environmental quality. The method specifically comprises the following steps: 1) acquiring an actually measured concentration value of each pollutant in the air in real time through a data acquisition module by referring to a graded concentration limit value of each pollutant in the air, correspondingly calculating and obtaining an air quality index IAQI of each pollutant, and transmitting the air quality index IAQI of each pollutant to an environment-friendly intelligent monitoring terminal; 2) according to the IAQI of each pollutant obtained at step 1), selecting the maximum value of the IAQI to determine the AQI of the air quality index, and monitoring the air quality in real time according to the air pollution index through the environment-friendly intelligent monitoring terminal; 3) determining and evaluating the air quality level, the air quality category and the color representing the air quality according to the AQI grading standard.

The invention discloses an intelligent household air quality monitor with a wireless communication function. The intelligent household air quality monitor comprises a sensor array circuit, a sensor conditioning circuit, a reference circuit, a sampling wave-filtration circuit, a single-chip microcomputer, a wireless communication circuit, a voice broadcast circuit, an LCD (Liquid Crystal Display) driving display circuit, a human-computer interaction key, a power supply management circuit and a clock circuit, wherein the sensor array circuit is connected with the sampling wave-filtration circuit through the sensor conditioning circuit; the single-chip microcomputer is connected with the sensor conditioning circuit through the reference circuit, and the single-chip microcomputer is also connected with a WI-FI (wireless fidelity) communication circuit, the voice broadcast circuit, the LCD driving display circuit, the human-computer interaction key and the clock circuit respectively; the power supply management circuit is used for supplying work power for each circuit. The intelligent household air quality monitor is capable of comprehensively displaying and analyzing the air quality for users, so that the users can enjoy healthy domestic life.

The invention discloses a movable type detection indoor air cleaner and a control system of the movable type detection indoor air cleaner. The movable type detection indoor air cleaner comprises a main machine and a movable detection device. The main machine is provided with an air cleaning device and a control circuit, the movable detection device is in communication with the control circuit through wireless signals, and the control circuit controls the air cleaning device to conduct air cleaning work. Remote-range air quality monitoring is conducted through the movable detection device, the quality of air surrounding the main machine is detected and monitored through a detecting device arranged on the main machine, the detecting device is used in cooperation with the movable detection device so that the indoor air quality can be comprehensively detected and monitored, the main machine is driven to conduct air cleaning, and the high-level indoor air quality is kept.

The invention discloses an intelligent indoor air detection and management system, which belongs to an indoor environment management system. The intelligent indoor air detection and management system comprises indoor and outdoor air detectors, an indoor wireless data transmission system, an indoor central control system, a central server, an indoor environment regulation device and a user mobile phone, wherein the indoor central control system transmits environmental parameters to the central server; and the central server performs big data analysis, studies comparison results by utilizing a model, approves the indoor and outdoor environment detection results, ensures that the detection is accurate and reliable, achieves dynamic real-time monitoring of user environment pollution, and establishes a user environment pollution model guidance through data accumulation. The intelligent indoor air detection and management system disclosed by the invention solves the problem that the existing air quality monitoring equipment is inaccurate in monitoring by utilizing a correction algorithm through acquiring indoor and outdoor environmental data, and achieves the intelligent start-up and automatic regulation functions of a purification device by utilizing an optimized algorithm. Through intelligent analysis, the intelligent indoor air detection and management system can also provide customers with customized solutions at a server side.

The invention discloses a remote air quality monitoring system. The remote air quality monitoring system comprises an air quality detector, an intelligent terminal and a server, and is characterized in that the air quality detector is connected with the intelligent terminal; the intelligent terminal is connected with the server. The connection can be in a wired communication manner and a wireless communication manner. The air quality detector comprises one or more of a PM2.5 (Particulate Matter 2.5) detector, a PM10 detector, a nitrogen dioxide detector, a sulfur dioxide detector, a carbon monoxide detector, an ozone detector, a weather instrument and a formaldehyde detector. The intelligent terminal comprises an intelligent cell phone, a PDA (Personal Digital Assistant) intelligent terminal, a notebook computer, a tablet personal computer and a computer. The wireless communication manner can adopt traditional Bluetooth, Bluetooth 4.0, ZIGBEE, NFC (Near Field Communication), WIFI (Wireless Fidelity), GSM (Global System for Mobile Communications), GPRS (General Packet Radio Service), 3G (The 3rd Generation Telecommunication) and 4G (The 4rd Generation Telecommunication). People can detect air quality parameters of air in the environment by a portable air quality detector with very the small volume and the light weight and transmit data to the intelligent terminal through the Bluetooth or the wifi; real-time data and historical data can be looked up through the intelligent terminal, can be shared to surrounding friends through the wifi, the Bluetooth and the like, and can be uploaded to the server through a wired network and a wireless network; the data are shared to the people on the internet, so as to provide air quality information for general mass and also provide references to relevant departments of the environment.

The invention is suitable for the technology field of air quality monitoring, and provides an air quality monitoring method, sensor monitoring nodes and a receiving terminal. The method comprises following steps: air quality parameters of each office location around each user are measured by the sensor monitoring nodes; the sensor monitoring nodes transmit the obtained air quality parameters to the receiving terminal or intelligent mobile terminals; the receiving terminal computes a distribution situation of multiply air quality index parameters in the whole room according to the parameters transmitted by the sensor monitoring nodes. The sensor monitoring nodes and the receiving terminal provided by the invention are capable of monitoring air quality of each office location in an office building, statistically analyzing multiply air quality index data, generating a whole air quality distribution situation in the office, and reporting the results to the users and the administration departments of the buildings at a fixed time.

The invention discloses a movable water spray dust fall engine for controlling the over-standard particulate matter 2.5 (PM 2.5) air quality, and belongs to the technical field of equipment of controlling the PM 2.5 air quality. According to the technical key point, the movable water spray dust fall engine comprises an engine body, wherein a compartment platform is arranged on the rear part of the engine body; a fixed frame is arranged on the compartment platform; a water tank, a high-pressure liquid pump chamber, a gasoline generating set and an electric cabinet are arranged on the fixed frame; a water spray dust fall mechanism is arranged on the top of the fixed frame; the electric cabinet is in circuit connection with a high-pressure liquid pump in the high-pressure liquid pump chamber, the gasoline generating set and the water spray dust fall mechanism respectively; a liquid inlet of the high-pressure liquid pump is connected with a water tank pipeline, and a liquid outlet of the high-pressure liquid pump is connected with a pipeline of the water spray dust fall mechanism; and a PM 2.5 air quality monitoring device is arranged on the top of a cab of the engine body and is in circuit connection with the electric cabinet. The invention aims to provide the movable water spray dust fall engine which is flexible in movement, compact in structure, convenient to operate and good in using effect and is used for controlling the over-standard PM 2.5 air quality. The movable water spray dust fall engine is used for controlling and improving the PM 2.5 air quality.

Air quality sensors are incorporated into an aircraft ventilation system in order to detect the nature and concentration of possible contaminants in the air flow passages. Data from the sensors may also be used to monitor air quality trends, determine corrective measures, and provide maintenance alerts. The sensors are provided at strategic locations throughout the ventilation system, such as before and / or after an air compressor and before and / or after a recirculation system, in order to identify where the problem is occurring.