589 results about "Air monitoring" patented technology

The invention relates to an intelligent air purification control system and method. No intelligent air purification control systems and methods with complete functions exist at present. The intelligent air purification control system comprises an air purification system, a fan system and a shell. The intelligent air purification control system is characterized by further comprising an air monitoring system, an android control system, a speed governor module, a loudspeaker, a display system, a network function module and a server. A TVOC sensor, an infrared sensor, an MIC sensor and an optical sensor are arranged in the air monitoring system. An APP extension module, a WIFI module and a data analysis module are arranged in the android control system, and the air monitoring system, the network function module, the display system, the loudspeaker, the server, the fan system and the speed governor module are connected with the android control system. The intelligent air purification control method is characterized by comprising an automatic mode, a sleep mode, a protection mode, a fierce wind mode and a manual mode. The intelligent air purification control system is reasonable in structure and complete in function.

The invention relates to a two-freedom-degree heavy-load tracking stabilized platform system which comprises a base, four line vibration dampers, a position framework, a pitching framework, external loads (a photoelectric imaging device, two micro-electromechanical system (MEMS) accelerometers two MEMS gyroscopes and a position orientation system (POS)), two direct current (DC) torque motors with brushes, two photoelectric coded discs and two framework control circuits. The base is connected with an airplane through line vibration dampers for isolating airplane line vibration. The position framework is supported by the base and carries a pitching frame component to achieve gyration within 0 degree to 360 degrees. The pitching framework is supported by a position frame and carries external loads to achieve gyration within -90 degrees to 0 degree. A control part drives a motor to enable the framework to rotate according to frame angular rate information which is provided by the gyroscopes and attitude information which is provided by the POS or the accelerometers, so that airplane angular motion is compensated and isolated. The two-freedom-degree heavy-load tracking stabilized platform system has the advantages of being high in precision, large in ration between load and self weight, standard in self attitude, and suitable for camera boresight stability in light small air monitoring systems.

The application provides an air quality forecasting system which comprises an environment quality detection sensor and a cloud computing data processing platform, wherein the environment quality detection sensor is configured at a position of a pollution source and is used for acquiring air monitoring data and transmitting the acquired air monitoring data to a cloud computing data processing platform; and the cloud computing data processing platform is used for receiving the air monitoring data, predicting air quality of a monitored region by adopting an air quality prediction model based on a resource allocation neural network and a smooth support vector regression machine so as to obtain air quality predication data of each monitoring station, pushing the air quality predication data to an associated intelligent terminal, calculating correlation between the monitoring data of the pollution source and the air quality predication data of the monitoring stations according to the air monitoring data of the pollution source and the air quality prediction data of each monitoring station by utilizing a Gaussian point source diffusion model, and carrying out visualized presentation.

The invention discloses an expressway vehicle sensing system and method based on space channel detection. An unmanned aerial vehicle space channel detection method is used, and expressway multilane and multi-vehicle real-time scanning detection is performed through a receiving and transmitting antenna array arranged at the bottom of an unmanned aerial vehicle detector. According to the analysis on the variation characteristics on a space moving channel, multi-dimensional parameters of the moving channel can be obtained in real time, and the position, the speed and the vehicle type of moving vehicles on an expressway are accurately estimated. The expressway vehicle sensing system and method based on space channel detection break through the limitation of vehicle sensing based on traditional sensors such as an infrared sensor and a video sensor, an advanced space moving channel detection and vehicle sensing technology is utilized, the all-weather vehicle sensing capacity in the intelligent transportation system application is improved, and the expressway rod vehicle sensing system and method based on space channel detection can be applied to the fields of intelligent transportation system air control, expressway traffic dispersion, after-calamity traffic guidance control, military exercise air monitoring and the like.

The invention is suitable for the field of air monitoring, and particularly relates to an automobile-based air monitoring method and automobile-based air monitoring device. A monitoring terminal monitors the quality of ambient air of an automobile, and transmits the quality information of ambient air of the automobile and the current position information of the automobile together to a server terminal; the server terminal treats the quality information of ambient air of the automobile and the current position information of the automobile, and outputs to users, so that users can monitor the air quality of each place by taking the automobile as a carrier, and the air quality can be monitored as long as automobiles exist, and the air quality can be monitored completely, comprehensively and extensively; moreover, the air quality information transmitted by the monitoring terminal at the same monitoring target position can be obtained by the monitoring mode; the average value is obtained by algorithm calculation, and compared with the air quality information obtained by the existing single monitoring terminal, the air quality information obtained by the way is comprehensive and precise.

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.

A novel high resolution large visual field optical imaging system is composed of a share primary mirror, a microlens array and a detector array. The share primary mirror is in a holocentric spherical mirror structure, and the center of the share primary mirror is a spherical mirror. Two meniscus lenses are wrapped on two sides of the share primary mirror, and incident rays respectively pass through the share primary mirror and the microlens array, and finally reach the detector array for imaging. Through the computed imaging technology, image restoration is carried out on every sub-image (eliminating impact of spherical difference on image quality), and all sub-images are subjected to registration recombination to obtain a complete clear image. The novel high resolution large visual field optical imaging system is simple in structural type, and the visual field can reach 180 degrees in theory. The full visual field has a uniform resolution ratio, and combines with the computed image post processing technology, the systematic resolution ratio can be close to a diffraction limit in theory. The novel high resolution large visual field optical imaging system has the advantages of having an extra large visual field, a high resolution ratio, and the like, and particularly suitable for researching and finding of space targets in a wide range, air monitoring for a stratosphere, and the like.

The invention discloses a movable type air monitoring car which comprises a monitoring car body. An air monitoring unit, a field control unit and a remote control platform are integrated in the monitoring car body, wherein the air monitoring unit comprises an automatic air sample collection module, an air sample preprocessing module and a monitoring analysis module in sequential data connection; and the field control unit comprises an air sample preprocessing control module, an instrument operation control module, a monitored data acquisition and transmission module, a field instant air sample analyzing module, a GPS (global positioning system) positioning module, a general meteorological parameter module, a video and camera module and a remote communication transmission module. The movable air monitoring car disclosed by the invention can monitor the content and components of pollutants in air anytime and anywhere, and can monitor the atmospheric environment in a relatively wide range at continuous points without being limited to a fixed place. The invention brings convenience to the atmospheric environmental monitoring in some areas without fixed monitoring equipment and the accident sites.

An air monitoring system includes a tubing having a metallic inner layer and an outer jacket to provide optimal transport of air samples.

The invention discloses a sensor group indoor air monitoring system, and belongs to the field of air monitoring. The indoor air monitoring system comprises a central processing unit, wherein the input end of the central processing unit is electrically connected with a data acquisition unit and a body controller through serial port lines; the input end of the data acquisition unit is electrically connected with a converter; the input end of the converter is electrically connected with the output ends of a carbon monoxide sensor, a formaldehyde sensor, a carbon dioxide sensor, a nitrogen dioxide sensor, a VOC (volatile organic compound) sensor, a temperature sensor and a humidity sensor respectively; and the output end of the central processing unit is electrically connected with a controller, an alarm and a video terminal through serial port lines respectively. The indoor air monitoring system uses multiple sensors to simultaneously detect multiple air data; the air quality is precisely displayed through the video terminal, and a user is reminded of paying attention to pollutant overdischarge in time through the alarm; a mobile terminal can realize remote control and monitoring; and manual calibration can be performed through a calibrator in case of inaccurate sensor measurement, thereby ensuring that the result is more accurate.

The invention relates to an air monitoring method based on mobile internet and mobile intelligent terminal and a system thereof. According to the invention, the real time environment air quality information monitored by the mobile terminal and distributed at each position is finally connected to Internet through fusion of various communication modes, fusion of real time environment air quality information can be realized, and problem that when air quality monitoring is carried out by the mobile terminal, the air quality analysis result is not accurate due to different air quality indoor and outdoor can be solved.

The invention discloses an air pollutant concentration prediction method based on a graph attention mechanism. The method comprises steps of constructing a spatial pollutant concentration prediction model based on a graph attention mechanism; and taking the meteorological data, the air monitoring data and the environmental factor data as model input data, constructing a graph adjacency matrix through a graph attention mechanism, extracting graph information characteristics by utilizing a graph convolutional neural network layer and a multi-layer perceptron network layer, and outputting a predicted air pollutant concentration value. According to the method, the air pollutant concentration prediction is more accurate, and the process is more efficient.

An odor detection and filtration device is provided including a housing enclosing a void and having and air inlet and air outlet. The void contains, and the housing encloses, one or more sensors, one or more filters, one or more fans, and a control unit. The control unit may be in electrical communication with the one or more sensors and one or more fans. The control unit may activate the one or more fans upon the one or more sensors detecting the presence of one or more odors in the ambient air surrounding the device. The one or more fans draw ambient air through the air inlet into the void and subsequently downstream through the filter and out the device through the air outlet.

The invention discloses a method of carrying out fusion processing on SSR navigation management and IFF multi-mode cooperation track. A clear and reliable air monitoring graph can be supported to generate and civil air and an out target monitoring and identification capability can be increased. A technical scheme is characterized by in a secondary monitoring radar SSR navigation management and identification friend or foe recognizer integration system, firstly, carrying out trace point merging and track starting on data of A, C and S general calling mode targets of an SSR navigation management mode; secondly, carrying out prediction and roll-call inquiry on an S general calling mode track so that the SSR navigation management acquires a roll-call track of the S mode; according to a target point track angle, calculating a belonging area number, carrying out relation determination on SSR navigation management target tracks in the same area and an adjacent area and generating a target track after the SSR navigation management and the IFF are fused; and then associating and fusing attributes and positions of target data under different IFF guiding modes and the target tracks of the AC and S modes of the SSR navigation management and forming an SSR navigation management and IFF fusion target track so that continuous monitoring and identification to an air target are realized.

The invention provides an intelligent real-time air pollution monitoring system. The intelligent real-time air pollution monitoring system comprises a wireless sensor network, an air monitoring centerand a user terminal, wherein the wireless sensor network is used for monitoring air pollution, acquiring air pollution parameters and processing and forwarding the air pollution parameters; the wireless sensor network comprises a converging node and a plurality of sensor nodes arranged in a set air pollution monitoring area; the sensor nodes acquire the air pollution parameters and transmit the air pollution parameters to the converging node through multi-hop transmission; the air monitoring center is used for achieving communication with the converging node, receiving and analyzing the air pollution parameters sent by the converging node, and sending out an alarm signal when the air pollution parameters exceed set normal thresholds; the user terminal is used for remotely accessing the air monitoring center and receiving the alarm signal sent from the air monitoring center. The intelligent real-time air pollution monitoring system achieves real-time monitoring of air pollution by a wireless sensor network technology.

The invention provides an in-vehicle air monitoring and purification device and a control method of the in-vehicle air monitoring and purification device. The in-vehicle air monitoring and purification device comprises a shell and a base, wherein a display screen is arranged at the top end of the shell, the bottom of the shell is connected with the base, an air outlet grid is arranged on the upper portion of the shell, and an air inlet grid is arranged on the lower portion of the shell. The interior of the shell is divided by an air purification assembly into an upper cavity and a lower cavity, a sensor set for detecting harmful gas in air, a turbine and a turbine motor are arranged in the lower cavity, and a negative-ion generator and an air blower are sequentially arranged in the upper cavity in the air delivery direction. A power source is fixed in the base. The in-vehicle air monitoring and purification device further comprises a control circuit, and the control circuit comprises an analog-digital conversion circuit, a single-chip microcomputer, a charging circuit and an executing mechanism. By means of the in-vehicle air monitoring and purification device and the control method of the in-vehicle air monitoring and purification device, the in-vehicle air quality can be monitored in real time, the purification function can be automatically started when the in-vehicle air quality exceeds the safety index value, and the purification function can be automatically stopped after the in-vehicle air quality reaches the standard.

The invention belongs to the technical field of air monitoring, and discloses an indoor air monitoring alarming system. The indoor air monitoring alarming system is provided with a temperature sensor, a humidity sensor, a PM2.5 sensor and an air quality sensor and is used for monitoring indoor air temperature, air humidity, PM2.5 and other quality parameters of the air in real time; the all-around monitoring of the indoor air quality can be facilitated, and the living quality and living standard of people can be improved; and a storage device is used for storing various index parameters of the air quality processed by a central processor and a processing process for fire alarm information, so that the later investigation on the fire reason can be facilitated. The indoor air monitoring alarming system is also provided with a fire alarming function, so that the fire alarming can be realized, the information can be transmitted to a mobile terminal and a fire station in time, the fire can be discovered in time and alarmed in time, and the property loss of house owners can be maximally reduced.

The invention relates to an on-line analyzer for hydrocarbons in air, which belongs to the technical field of air monitoring equipment, and is used for monitoring organic matters of environmental gas. According to the technical scheme, the analyzer consists of a sample introduction component, a power providing component, a high temperature converter component and a detector component, wherein sample gas, zero gas or standard gas is switched by a valve of the sample introduction component and enters a high temperature converter, the gas is divided into two paths, one path is converted into methane by the high temperature converter, the other path is still the sample gas, and the two kinds of gas is subjected to hydrogen flame ionization, so that the content of the methane and the content of total hydrocarbons are obtained, the content of non-methane total hydrocarbons is obtained by subtracting the two values, and the organic matters in the gas are quickly detected in real time. By the analyzer, the hydrocarbons in the environmental gas can be monitored in real time on line, and chromatographic column selection and a complicated valve control technology in other chromatographic on-line hydrocarbon analyzers are eliminated; and the analyzer has the advantages of simple structure, long operating period, quick and accurate monitoring data, environment friendliness and the like.