2411results about "Analysing gaseous mixtures" patented technology

A method of operating a security monitoring system comprises defining a group of people to receive a notification of an event taking place at a location associated with any member of the group, by a system, determining that a security event has at least potentially taken place that the members of the group need to be notified of, by the system, and notifying the members of the group of the event, via a network. Notifications of the at least potential security event may be provided to a first party of the at least potential security event and members of the group may be notified if the first party does not respond to the notification within a predetermined period of time. A system is also disclosed.

A system of systems to monitor data for carbon flux, for example, at scales capable of managing regional net carbon flux and pricing carbon financial instruments is disclosed. The system of systems can monitor carbon flux in forests, soils, agricultural areas, body of waters, flue gases, and the like. The system includes a means to identify and quantify sources of carbon based on simultaneous measurement of isotopologues of carbon dioxide, for example, industrial, agricultural or natural sources, offering integration of same in time and space. Carbon standards are employed at multiple scales to ensure harmonization of data and carbon financial instruments.

The invention discloses unmanned plane equipment for detecting a gas pollution source. The unmanned plane equipment comprises a ground monitoring module used for performing real-time acquisition of gas pollution concentration, position, wind direction, and wind speed and early warning of a monitoring point; a ground control module used for determining an initial flight parameter of an unmanned plane module and receiving real-time monitoring data of the unmanned plane module; the unmanned plane module is used for adaptively controlling detection of a flight path in a to-be-measured pollution area, and positioning a pollution source collecting the data; and a wireless transmission system used for realizing data transmission among the ground monitoring module, the ground control module, and the unmanned plane module. The unmanned plane equipment can timely find the diffusion of polluted gas, performs primary detection on direction of the pollution source according to a gaussian plume model theory of gas diffusion, and accurately locks the pollution source through accurate positioning; the concrete condition of the discharge position of the gas pollution source can be checked through an aerial device, and a complete intelligent monitoring process is formed, so that the pollution source can be timely found by the relative staff.

The present invention relates to methods and devices for determining the weight of small particles, typically being nano-sized particles by use of resonating fibers in the form of elongate members being driven into resonance by an actuator or e.g. thermal noise/fluctuation. The frequency shift in resonance frequency due to depositing of nano-sized particles is correlated with the mass deposited on the elongate member and the vibration frequency of the elongate member is determined by a detector. The read-out from the detector is transformed into a mass deposited on the elongate member. Particles are deposited by letting a fluid with the particles flow past the elongate member.

Systems and methods for detecting presence of a thing, the thing treated with a descenter, one method including in an area in which it is possible that a thing treated with a descenter is present, using a detector to detect a descenter level in the area, producing a detected descenter level, comparing the detected descenter level to a normal descenter level for the area, determining that the detected descenter level is different from the normal descenter level, said determining indicating the possible presence of a thing treated with a descenter; and using a trained service animal to facilitate such a method.

The embodiment of the invention provides a regional air pollutant concentration prediction method, terminal and computer readable storage medium. The method includes using a calculated daily average historical pollutant concentration data set and a preprocessed daily historical meteorological data set as sample data sets, utilizing a random forest model to perform training, wherein the random forest model includes a plurality of decision trees, each decision tree being implemented by use of a multilayer feedforwad neural network; determining predicted meteorological data of a preset number ofdays in the future predicted on the same day at current time; preprocessing the predicted meteorological data; and according to the preprocessed predicted meteorological data and pollutant concentration data monitored on the same day at current time, utilizing the trained random forest model to predict pollutant concentration data of the preset number of days in the future of a region to be predicted. The regional air pollutant concentration prediction method provided by the embodiment of the invention improves regional air pollutant concentration prediction precision, and has relatively a high generalization capability.

An apparatus and a method for controlling critical dimension (CD) of a circuit is provided. An apparatus includes a controller for receiving CD measurements at respective locations in a circuit pattern in an etched film on a first substrate and a single wafer chamber for forming a second film of the film material on a second substrate. The single wafer chamber is responsive to a signal from the controller to locally adjust a thickness of the second film based on the measured CD's. A method provides for etching a circuit pattern of a film on a first substrate, measuring CD's of the circuit pattern, adjusting a single wafer chamber to form a second film on a second semiconductor substrate based on the measured CD. The second film thickness is locally adjusted based on the measured CD's.

The method for measuring the properties of petroleum fuels by distillation relates to a measuring method for predicting the property values of complex hydrocarbon fuels, such as the property values of gasoline, by distillation. Compensation of boiling point distribution measurements used for the prediction of physical properties of hydrocarbons is further performed.

The invention discloses a multi-rotor unmanned aerial vehicle environmental autonomous monitoring control system and method. The system includes a multi-rotor unmanned aerial vehicle, a ground communication conversion system and a mobile terminal. The multi-rotor unmanned aerial vehicle includes an unmanned aerial vehicle control system and an unmanned Motor power system; the UAV control system is used to control the operating state of the multi-rotor UAV, including ascent, hovering, obstacle avoidance and falling, and conduct multi-dimensional automatic monitoring of pollutants in the air during operation, and will The collected data is sent out; the ground communication conversion system is used to receive the data collected by the UAV, send it to the mobile terminal, and receive the control command from the mobile terminal, and send it to the UAV. The invention can ensure the measurement accuracy under the condition that the posture of the UAV is stable, and realize the concentration detection of multi-dimensional and different pollutants.

A WRF-CHEM-based large point pollution source atmosphere environment influence evaluating method comprises the following steps: acquiring meteorology data and landform data, arranging a simulation area, and preprocessing the meteorology data and the landform data; selecting different parameterization scheme combinations having large influences on simulation, and designing a contrast experiment scheme; acquiring artificial source discharge and natural source discharge lists, and carrying out space, time, discharge height and species division and other pretreatments; running a WRF-CHEM model, and comparing simulation results of the different parameterization scheme combinations with observation data to obtain an optimum simulation scheme; processing large point pollution source discharge data, adding the processed large point pollution source discharge data to the model under the optimum simulation scheme, and running the WRF-CHEM; comparing the large point pollution source considered simulation result with the result under the optimum simulation scheme, and evaluating the degree and range of influences of the large point pollution source on circumferential atmosphere environment; and visually displaying the simulation result, and providing management decision basis for environment influence evaluating reports.

A method is provided for monitoring and mitigating exhaust gas emitted from a vehicle in a closable structure. A remote monitoring device within the closable structure is trained in response to a training signal transmitted from a remote transmitter device. A remote engine start signal is intercepted within a receiving circuit of the remote monitoring device during an actual remote engine start operation. The exhaust gas emitted from the vehicle is monitored in response to receiving the remote engine start signal. A determination is made if an exhaust gas concentration level is greater than a predetermined threshold. A control signal is transmitted to a mitigation device for mitigating the exhaust gas within the closable structure when the exhaust gas concentration level is greater than the predetermined threshold.

Methods and systems for predicting a filter lifetime include building a filter effectiveness history based on contaminant sensor information associated with a filter; determining a rate of filter consumption with a processor based on the filter effectiveness history; and determining a remaining filter lifetime based on the determined rate of filter consumption. Methods and systems for increasing filter economy include measuring contaminants in an internal and an external environment; determining a cost of a corrosion rate increase if unfiltered external air intake is increased for cooling; determining a cost of increased air pressure to filter external air; and if the cost of filtering external air exceeds the cost of the corrosion rate increase, increasing an intake of unfiltered external air.

The invention discloses a pollution space analysis method and device based on massive atmosphere pollution concentration data, and belongs to the field of atmosphere pollution monitoring. The method comprises the steps of obtaining the atmosphere pollution concentration data of a target area monitored by a ground high-density monitoring network; arranging the obtained atmosphere pollution concentration data in a matrix mode to obtain an atmosphere pollution concentration data matrix; conducting biclustering treatment on the atmosphere pollution concentration data matrix to obtain multiple biclustering blocks of different sensor monitoring stations; interpolating the atmosphere pollution concentration data after biclustering treatment is conducted into a grid of an air quality model, and conducting grid treatment; comparing the atmosphere pollution concentration in each grid with that in a surrounding grid to determine a high-concentration exhaust grid and obtain high-value areas of the different biclustering blocks. According to the pollution space analysis method and device based on the massive atmosphere pollution concentration data, air quality change precise characteristics in the district and county level can be obtained, local pollution source characteristics are discriminated, and more systematized technical support is formed for environment management.

A device, system and method for personal health monitoring based on multitude-points environmental data is disclosed. a plurality of indoor sensing devices and a plurality of outdoor sensing devices may be connected to a network to allow bidirectional communication between the sensing devices and a central server, and between the sensing devices themselves, over a communication network such as the internet. According to one method of the disclosed invention, a source of pollutions may be detected by comparing the levels of pollution sensed by different neighboring sensing devices and recommendations as to how to reduce the exposure to sensed pollutants may be sent to end users.

The invention relates to a pollutant tracing method, a pollutant tracing device, a monitoring terminal and a storage medium, belonging to the technical field of data processing. The method comprises the following steps: using a monitoring terminal to receive the pollutant concentration data, the position coordinate data and the wind speed data, which are transmitted by an unmanned aerial vehicle (UAV), of all collection points; enabling monitoring terminal to sequentially compare the pollutant concentration values of all the collection points with a preset standard value, and screening out allthe collection points with the pollutant concentration values greater than the preset standard value; using the monitoring terminal to sequentially obtain the prediction data of all the screened-outcollection points according to the position coordinate data and wind speed data of all the collection points as well as a preset rule; enabling the monitoring terminal to screen out the prediction data, most likely to be a pollution source, from all the prediction data by using a genetic algorithm, and marking the position coordinates corresponding to the prediction data as the position of the pollution source. The method and the device utilize the UAV to obtain data of the pollution source so as to find out the source of environmental pollution, thus fundamentally finding and solving the problem of water pollution control by using technical means.

The invention provides a multi-rotor-wing-unmanned-aerial-vehicle atmosphere pollution detection system and method. The multi-rotor-wing-unmanned-aerial-vehicle atmosphere pollution detection system comprises a multi-rotor-wing-unmanned-aerial-vehicle flying platform, a PM2.5 and atmospheric parameter sensor set, a wireless data transmission device, a ground monitoring station and data processing software. According to the multi-rotor-wing-unmanned-aerial-vehicle atmosphere pollution detection system and method, the multi-rotor-wing-unmanned-aerial-vehicle system vertically flies in a monitored area and synchronously collects image data, PM2.5 data, temperature, humidity and atmospheric pressure, the ground station receives the data in a remote wireless transmission mode, and PM2.5 concentration distribution curves and atmospheric-visibility vertical distribution curves at different heights are obtained by correcting and fitting the detected data. The multi-rotor-wing-unmanned-aerial-vehicle atmosphere pollution detection system and method serve as a supplementary way for an atmospheric environment ground monitoring station network and satellite remote sensing, can be widely used in the aspects of haze cause and treatment researching, atmospheric environment assessment, pollution prediction and early warning and the like, and can also serve as actually-measured validation data for inversion of atmosphere-ingredient satellite-remote-sensing parameters, a novel monitoring way is provided for atmosphere pollution monitoring and environment protection, and important science significance and social benefits are achieved.

The invention relates to an improved particle swarm-optimized neural network-based transformer fault diagnosis method. The method includes the following steps that: related data of dissolved gases in transformer oil and transformer fault information are obtained so as to be adopted as sample data, and a drop half-normal distribution scoring model is adopted to pre-estimate the data of the dissolved gases in the transformer oil; the network structure of a neural network is determined; and the parameters of the neural network are optimized by using an improved particle swarm algorithm; pre-estimated sample data are adopted to train the parameter-optimized neural network, so that a final neural network model can be obtained; and the neural network model is adopted to process transformer data to be evaluated, so that the fault type of a transformer can be obtained through diagnosis. With the method of the invention adopted, the interference of original data redundancy information can be reduced, and the validity of data evaluation can be improved; and convergence speed in the training of the neural network can be increased, and the search ability of parameter optimization can be improved, and the accuracy and reliability of transformer fault diagnosis can be improved finally.

The invention provides a method for constructing an industrial park atmosphere pollution characteristic online monitoring system, particularly a method for constructing an online monitoring system for industrial park emission including atmosphere characteristic pollution factors, such as VOCs, inorganic gas and odor substances, and relates to the technical field of industrial park atmosphere environment online monitoring. The method for constructing the industrial park atmosphere pollution characteristic online monitoring system comprises the steps: A, selecting a monitoring site; B, determining a monitoring factor; C, screening a pollutant monitoring instrument; D, establishing an atmosphere automatic monitoring system; and E, constructing an information management system. According to the method for constructing the industrial park atmosphere pollution characteristic online monitoring system, a mutually complementary atmosphere pollution early-warning and monitoring system is obtained by screening automatic monitoring instruments, which are used for optimally controlling pollutants and are integrated with a chromatography, a sensor, a mass spectrometry, an optical technology and so on, on the basis of atmosphere characteristic pollution analysis from three levels of the park, the boundary and sensitive points; online real-time control of industrial park atmosphere characteristic pollution unorganized emission, industrial park boundary and factory boundaries is realized, so that the atmosphere pollution is converted from manual prevention to technical prevention; and therefore, a novel environment management mode is established.

The invention relates to an unmanned-aerial-vehicle detection system, in particular to an unmanned-aerial-vehicle detection system and method for hazardous gases. The unmanned-aerial-vehicle detection system comprises a flight control system connected with an unmanned aerial vehicle, a data acquisition module, a wireless transmission module, an ultrasonic module, a geographic information module, a gas detection module and a ground center, and the data acquisition module, the wireless transmission module and the ultrasonic module are connected with a microprocessor; the gas detection module and the geographic information module are connected with the data acquisition module, and gas data and geographic data are transmitted to the ground center through the wireless transmission module; the ground center displays gas concentration and positions pollution sources according concentration changes of different positions. By the arrangement, detection of the hazardous gases and position of the pollution sources can be performed in areas people cannot reach, of pollution scenes, problems that an existing environmental emergency monitoring system can hardly the areas under complex terrain conditions, response speed is slow and monitoring range is limited are solved, and environmental emergency response capability is greatly improved.

A gas detector for determining the contributions of two or more target gases in an atmosphere to be sampled, the gas detector comprising: a gas sensor for sampling the gas, the gas sensor having a sensitivity to a target gas which is dependent on the temperature of the gas sensor; a temperature regulating device configured to change the temperature of the gas sensor; calculating means in communication with the gas sensor; wherein the gas detector is configured to: sample the atmosphere with the gas sensor at a plurality of temperatures, wherein the temperature regulating device changes the temperature of the sensor; and determine using the calculating means the contributions of the two or more target gases based on the measurements at the plurality of gas sensor temperatures and the sensitivity of the gas sensor at the plurality of gas sensor different temperatures.

Disclosed herein is preservation system for nutritional substances. The preservation system obtains information about the nutritional substance to be preserved, senses and measures the external environment to the preservation system, senses and measures the internal environment to the preservation system, senses and measures the state of the nutritional substance, and stores such information throughout the period of preservation. Using this accumulated information, the preservation system can measure, or estimate, changes in nutritional content (usually degradation) during the period of preservation. Additionally, the preservation system can use this information to dynamically modify the preservation system to minimize detrimental changes to the nutritional content of the nutritional substance, and in some cases actually improve the nutritional substance attributes.

The invention provides a method and a device for confirming service life of a purification device of an air purifier. The method is characterized by comprising the following steps: detecting pollutant concentration Cw of air before the air passes through the purification device; detecting pollutant concentration Cb of air after the air passes through the purification device; and calculating the purifying efficiency eta of the purification device, wherein the calculation method is as follows: eta=(Cw-Cb)/Cw. The service life of the purification device is confirmed according to the purifying efficiency eta, so that the technical problems of insufficient calculation accuracy and troublesome operation of a method for confirming service life of the purification device of the air purifier in the prior art are solved; a loop-locked monitoring process is formed; the service life of the purification device of the air purifier is efficiently and accurately monitored; the intelligent level of the air purifier is enhanced; the user experience is greatly promoted.

The invention provides a monitoring and early warning system and method for pollution gas, belonging to the field of gas monitoring. The system comprises a plurality of station monitors, a server and a mobile terminal, wherein each station monitor interacts with the server, the server interacts with the mobile terminal, the station monitor is used for sending positional information to the server and sending gas concentration information in a preset range of the station monitors to the server at every preset time quantum, the server is used for determining whether the gas concentration information exceeds a preset boundary and for sending early warning information about standard exceeding and the positional information to the mobile terminal if the gas concentration information exceeds a preset boundary, and the mobile terminal is used for displaying the early warning information about standard exceeding and the positional information. The monitoring and early warning system and method in the invention provide a perfect pollution early-warning mechanism so as to allow a user to acquire environmental information in time.