278 results about "Atmospheric pressure" patented technology

The invention discloses a vehicle idling start and stop control system and method. The control system judges whether a vehicle has idling start and stop conditions by monitoring the water temperatureof an engine, the capacity of a storage battery, a safety belt and other information, judges whether the vehicle has conditions of stopping the engine by monitoring the rotating speed of the engine, the speed of the vehicle, the brake air pressure and other conditions, and judges whether the vehicle has conditions of starting the engine by monitoring the gear of a gearbox, the speed of the vehicle, a hand brake and other information. When the relevant conditions are met, start and stop work signals are sent to the engine though a CAN bus. In order to guarantee the reliability of frequent startand stop of the engine, the system strengthens flywheel gear rings of a starter and the engine. In order to ensure that the battery does not lose power, a storage battery capacity sensor is added tothe system on the basis of increasing the capacity of the storage battery, and the idling start and stop are allowed when the state of charge (SOC) of the storage battery satisfies a safe starting threshold. The idling start and stop control system has advantages of low cost and high reliability, and is especially suitable for commercial vehicles.

The invention provides a marine meteorological data quality control method based on a cross-parameter correlation network, which belongs to the technical field of marine meteorology, and comprises the following steps: constructing a cross-parameter correlation network model comprising an air temperature and air pressure correlation rule, a humidity and air temperature linear correlation rule and a wind speed and air pressure gradient extraction correlation rule; a sliding window algorithm is adopted to calculate a correlation coefficient in real time and identify correlation abnormity, a multivariate abnormity detection mechanism of four dimensions of parameter threshold overrun, spatio-temporal change rate abnormity, probability density distribution offset and correlation verification failure is established, a fuzzy comprehensive evaluation method is adopted to calculate a comprehensive abnormity index, and data abnormity is judged. And the authenticity of the abnormal data is confirmed in combination with a multi-sensor cross validation mechanism, and finally the abnormal data is restored by adopting a virtual sensor data reconstruction algorithm based on correlation network reverse calculation, so that the technical problem of poor abnormal data detection effect in the prior art is solved.

The invention discloses a typhoon wave height prediction method based on a deep learning MOE-Transform model, and the method comprises the following specific steps: collecting historical typhoon data of a research region, and constructing a virtual typhoon data set in combination with a central pressure difference formula; processing the historical and virtual typhoon data sets through a Holland typhoon empirical model and a storm growth relation to obtain a wind field, an air pressure field and a significant wave height field; correcting the field data by using an error model on the basis of the ERA5 data set to form a typhoon space-time fusion database containing meteorological data, the significant wave height field and typhoon data; and training and testing the MOE-Transform model to obtain a typhoon wave significant wave height prediction model for typhoon wave height prediction. According to the method, the multi-task adaptability and generalization ability are improved, and the precision and timeliness of typhoon wave height prediction are improved.

The invention discloses a control method for defrosting of a parallel flow evaporator, which comprises the following steps of: constructing a multi-dimensional state sensing network, constructing a three-dimensional state sensing matrix by utilizing a distributed temperature sensor array on the surface of an evaporator coil, an air inlet humidity sensor and an inlet and outlet differential pressure type pressure sensor, and acquiring information such as temperature distribution, environment humidity and air pressure difference; through dynamic threshold self-adaptive judgment, based on an environment temperature field, the historical temperature of an evaporator and an icing critical temperature field calculated by a time sequence prediction model, the defrosting triggering condition is judged by combining humidity and an air pressure difference change gradient field; gradient type energy injection defrosting is adopted, in the first-stage defrosting process, the refrigerant flow is adjusted through a proportional electromagnetic valve to conduct directional defrosting, and in the second-stage defrosting process, a compressor is closed, a fin gap shape memory alloy heating network is activated, and latent heat of a phase change material is released to conduct uniform defrosting. And performing multi-physical field cooperative regulation and control, constructing a coupling model, and adjusting the heating power and pulse modulation duty ratio sequence.

The invention relates to the technical field of meteorological observation, in particular to a parameter measurement method and device based on a dual-band mode, equipment and a storage medium. Generating a dual-band excitation signal according to the aligned sine wave signal; analyzing the echo signal according to a preset gain coefficient, a time difference method and a preset attitude compensation formula to obtain a reconstructed quasi-unipolar pulse, an actual wind speed, a horizontal wind direction angle, a pitch angle, a three-dimensional wind speed vector, a roll angle and a real wind direction; acquiring real-time air pressure, and correcting a preset standard state sound velocity according to a preset sound velocity correction formula and the real-time air pressure to obtain a corrected sound velocity; according to the scheme, a dual-band signal attached to a medium is generated, after efficient transmission analysis, high-resolution pulses and multi-dimensional wind field parameters are obtained by means of gain, a time difference method, attitude compensation and the like, the sound velocity is corrected in combination with air pressure, comprehensive, accurate and rapid updating of data are considered, and the measurement reliability is improved.

The invention provides an active and passive combined microwave remote sensing detection method for earth surface air pressure and air pressure profile, which comprises the following steps: by combining a satellite-borne / airborne millimeter wave differential absorption radar and a satellite-borne / airborne microwave radiometer and utilizing oxygen differential absorption measurement, obtaining accurate land / ocean surface air pressure data; and the air pressure profile is further obtained by combining temperature and humidity profile data measured by a satellite-borne / airborne microwave radiometer. Compared with the prior art, the method has the advantages that active and passive microwaves are adopted for combined detection, detection information obtained by a microwave radiometer is complemented, calculation of the surface pressure is enhanced, and the surface pressure inversion precision is improved; according to the method, the surface pressure value can be obtained, and the atmospheric pressure profile can also be obtained. According to the method, accurate surface pressure detection can be realized, and the atmospheric pressure profile can be further deduced by combining the temperature profile and the humidity profile observed by the microwave radiometer.

The invention belongs to the technical field of underwater measurement, and discloses a test probe underwater depth automatic positioning method and system, and the method comprises the steps: collecting an absolute water pressure value of a current underwater environment, and carrying out the calculation of a hydrostatic pressure value through combining with water surface reference air pressure data; meanwhile, acoustic signals from the water surface base station are received, response is returned, and the round-trip propagation time of sound waves in the water body is measured and obtained; collecting water body temperature data and salinity change data, estimating density information of the current water body, and converting a hydrostatic pressure value into a pressure depth value; calculating an average sound wave propagation speed by adopting an empirical sound velocity model, and calculating an acoustic depth value of the probe in combination with back-and-forth propagation time of sound waves in the water body; the depth positioning precision and stability of the underwater probe in a complex environment are effectively improved, and high-reliability and high-precision underwater depth automatic positioning is realized.

The invention discloses a wind field downscaling method based on physical constraint and artificial intelligence, and relates to the technical field of meteorological numerical forecasting, and the method comprises the steps: obtaining an input data set which comprises topographic data, low-resolution forecasting data and observation data; feature extraction and data processing are carried out on the input data set to obtain a training data set, the training data set is utilized to train a neural network model fused with the attention mechanism, and a loss function of the neural network model comprises physical constraint terms. According to the method, feature information of the terrain and the air pressure field is brought into model input, feature extraction is carried out on the air pressure field through principal component analysis, and the adaptability of the model to different terrain and weather backgrounds is improved.

The invention relates to the technical field of artificial intelligence and aviation technology crossing, and discloses a multi-environment aircraft trajectory prediction method based on a space-time self-attention mechanism, and the method comprises the steps: obtaining historical trajectory data of a target aircraft and synchronous meteorological data, namely wind speed, wind direction and air pressure; s2, extracting time sequence features of the historical trajectory through a time-space self-attention network (TSAN), wherein the time sequence features specifically comprise local time sequence feature extraction by adopting a time convolution block; according to the multi-environment aircraft trajectory prediction method based on the space-time self-attention mechanism, the prediction precision is remarkably improved, on a TrajAir high-dynamic data set, the average displacement error (ADE) is reduced by 27.7% to 0.68 m, and the final displacement error (FDE) is reduced by 26.7% to 1.37 m. The FDE is reduced to 1.29 m (39.7%) from 2.14 m in severe convection weather, and the problem of track abrupt change caused by wind direction jump of a traditional model is effectively solved.

The invention discloses a shield front karst fissure grouting plugging method based on feedforward identification and directional regulation and control, which comprises the steps of front geological information acquisition, target area identification, grouting path planning, parameter adaptive regulation and control, directional grouting execution and plugging effect feedback. Feature fusion processing of geometric features of the cavity region from a time domain to a frequency domain is realized, geological types and features of the cavity region are analyzed in combination with data, and remarkable reduction of cavity three-dimensional coordinate positioning errors and remarkable improvement of boundary recognition precision are realized; in the drilling process, the boundary of the cavity is sensed in real time, synchronous grouting and air exhaust are achieved through automatic deviation correction of the posture adjusting mechanism and the double-through-hole design, air pressure fluctuation in the cavity is controlled within a safe and stable range, and the risk of cavity collapse caused by air pressure changes is effectively prevented.

The invention provides an atmospheric particulate water-soluble ion analysis instrument calibration system and calibration method, and belongs to the technical field of atmospheric particulate measurement. The system comprises an atmospheric environment simulation measurement device and a portable calibration device. The atmospheric environment simulation measurement device simulates actual environmental conditions through an aerosol mixing cabin in a thermotank, and is equipped with various sensors to monitor temperature, air pressure and humidity. The portable calibration device is internally provided with an aerosol generator, a constant-speed diverter, a particle sensor and the like, and an aerosol sample can be generated on site for calibration. The calibration method comprises two parts of constructing a standard parameter database and performing field calibration, and the calibration precision is ensured by comparing a measured value of the particulate matter sensor with a particle size spectrum. According to the calibration system and the calibration method for the atmospheric particulate water-soluble ion analysis instrument, the problems that traditional calibration equipment is large in size and cannot be calibrated on site are solved, and reliable technical support is provided for on-site calibration of the atmospheric particulate water-soluble ion analysis instrument.

The invention belongs to the technical field of ocean engineering. According to the seabed data intelligent calculation center structure and the working method, a plurality of stand columns and a tubular structure are connected to form a frame used for bearing a tank body, a supporting seat is fixed in the frame, and the tank body is arranged on the supporting seat; grating plates are arranged at the two ends and the top of the frame, a plurality of suction foundations are fixed to the bottom of the frame, and data intelligent calculation equipment is arranged in the tank body; a temperature and humidity real-time monitoring sensor and a pressure balance adjusting module are integrated in the tank body, the temperature and humidity real-time monitoring sensor communicates with a cooling system outside the tank body, the heat dissipation efficiency in the tank body is adjusted in a linkage mode according to real-time temperature and humidity data, and the pressure balance adjusting module is used for automatically compensating air pressure in the cabin according to water pressure differences of different depths of the seabed; according to the invention, the structural stability of the seabed is ensured, natural cooling is carried out through low-temperature seawater, the problem of high heat dissipation energy consumption of a traditional data center is solved, and a stable working temperature environment is provided for data intelligent calculation equipment.

The invention discloses multi-parameter test analysis equipment for a complex environment, which belongs to the technical field of chemical or physical test analysis and comprises a test cabin, a comprehensive measurement and control system, a vacuum pumping system, a field environment simulation system and a climate temperature and humidity simulation system. The vacuum pumping system, the field environment simulation system and the climate temperature and humidity simulation system are sequentially arranged on the outer side of the test cabin body and are communicated with the test cabin body. By changing and adjusting the air pressure, the temperature, the humidity, the wind, the ultraviolet radiation, the space range and the air density in the specified range in the test cabin body, the extreme climate environment of any single parameter can be simulated, the special environment of combination, alternation and intersection of multiple parameters can also be simulated, and different types of test pieces can be made to have different functions. Test detection operation under a traditional atmospheric state, atrocious weather and an extreme environment of an outdoor environment is completed in the same space, so that multi-parameter data of different types of test pieces can be obtained.

The invention discloses a sampling device for geological disaster prevention and monitoring, and relates to the technical field of auxiliary equipment for underground water detection.The sampling device comprises a collecting assembly and a sampling assembly, the collecting assembly comprises a collecting pipe, a throwing assembly is arranged at the top end of the collecting pipe, a sampling cavity and an adjusting cavity are formed in the collecting pipe, and an adjusting assembly is arranged in the adjusting cavity; a monitoring assembly is further arranged on the collecting pipe; the control system is used for receiving a plurality of collection depths input by a user, and controlling the adjusting assembly to keep the top end of the sampling cavity and the reference surface static according to the air pressure in the adjusting cavity; only when the volume of the sampling cavity is equal to the difference value obtained by subtracting the volume of the water sample collected last time from the volume of the sampling cavity last time or the absolute value of acceleration of air pressure in the adjusting cavity is larger than a set value, it is judged that the top wall of the collecting cavity meets the sampling requirement, work of the putting assembly is stopped, the opening and closing assembly is controlled to be closed, and the sampling assembly is controlled to work; therefore, the representativeness of the obtained water samples at different depths is improved.

The invention discloses a regional evaporation waveguide prediction method based on path loss inversion, and relates to the technical field of maritime communication. Actual measurement path losses corresponding to the multiple propagation signals are obtained through a point-to-point microwave propagation link, inversion is carried out on the actual measurement path losses corresponding to the multiple propagation signals, and the long-time-sequence evaporation waveguide height is obtained; taking the long-time-sequence evaporation waveguide height and the corresponding long-time-sequence meteorological and hydrological characteristics as a training sample set, training a recurrent neural network, and obtaining an evaporation waveguide height prediction model; the meteorological and hydrological characteristics comprise wind speed, air temperature, humidity, sea surface temperature, evaporation capacity, atmospheric pressure and rainfall capacity; predicting an evaporation waveguide height prediction value of each grid point in the target area through an evaporation waveguide height prediction model; and generating continuous regional evaporation waveguide height distribution through inverse distance weighted interpolation according to the evaporation waveguide height prediction value of each grid point in the target region. The method improves the prediction accuracy of the regional evaporation waveguide.

1. The name of the design product: integrated traffic meteorological monitor. 2. The use of the design product: for measuring visibility, road conditions, road temperature, wet slip coefficient, air temperature, relative humidity, wind speed, wind direction, air pressure, rainfall and other data. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

The present application belongs to the technical field of atmospheric environment monitoring and cloud and fog microphysical observation, and particularly relates to a lightweight cloud and fog vertical structure comprehensive sounding device, comprising: a device main body; a temperature and humidity measuring module arranged on the outside of the device main body; a water vapor measuring module arranged on the outside of the device main body; a holographic particle measuring module arranged on the outside of the device main body; a navigation positioning module; a data processing system arranged in the inside of the device main body, the data processing system being used for receiving and storing temperature, humidity and air pressure, water vapor content and cloud and fog particle holographic image data. The present application realizes synchronous measurement of cloud and fog temperature, humidity, air pressure, water vapor and cloud and fog particle microphysical parameters, has simple device structure, can be carried on sounding balloons and unmanned aerial vehicles and other platforms to realize flexible and refined measurement of cloud and fog vertical structure, and has wide application prospects in the fields of cloud and precipitation physical scientific observation, artificial cloud and fog reduction effect evaluation and cloud parameter remote sensing product quantitative test.

The application discloses a high-rotation flying body flight parameter multi-field synchronous measurement and fusion method and system, the method utilizes a meteorological balloon to detect atmospheric parameters such as air pressure, temperature, humidity and wind direction and wind speed under current atmospheric conditions, arranges an unmanned aerial vehicle array networking as a relay node of a communication link, forms a data transmission link of a measuring device and a ground computing center, and performs positioning and monitoring on a flying body landing point. Under a unified space-time reference, target field distributed measurement and in-situ measurement data are subjected to "real-time + after-the-fact" information fusion, and the estimation precision of the whole trajectory flight parameters of the high-rotation flying body is improved. The method overcomes the limitations of conventional target field testing devices and testing means, and has the advantages of high time resolution, high spatial resolution, high signal signal-to-noise ratio, high information availability and high system integration.

A method involves identifying multiple calibration values and corresponding calibration confidence values of an initial calibration dataset in which one or more calibration values were derived using an atmospheric pressure measurement from a barometric air pressure sensor of a mobile device. A calibration metric is determined for each calibration value. One or more of the calibration values are filtered out from the initial calibration dataset based on the calibration metric to generate a filtered calibration dataset. A filtered calibration value is determined using the filtered calibration dataset. The barometric air pressure sensor of the mobile device is calibrated using the filtered calibration value.

The invention provides a method and a device for using inertial satellite parameters in estimation parameter calculation, and the method comprises the following steps: firstly, judging the consistency of dual inertial satellite sky velocity and inertial satellite barometric altitude data; a jump count value and a consistency jump identifier are configured according to whether the speed and the height jump or not; and according to the current and historical consistency conditions, the jump count value and the consistency jump identifier, selecting the sky direction velocity and the air pressure altitude of the inertial satellite. And the situation that the estimated atmospheric parameters are inconsistent due to the difference of the sky velocities of the inertial satellites and the barometric altitudes of the inertial satellites received by different redundancies is prevented.

The invention relates to the technical field of hydrogen-related testing, and discloses a hydrogen-related high-altitude environmental chamber system and a testing method thereof. An air conditioning system; the fresh air system provides fresh air with different humidity for the interior of the environment chamber body; the exhaust suction system simulates high-altitude low air pressure in the cabin body of the environmental cabin; the safety system is used for monitoring the oxygen concentration of the environmental chamber body and monitoring the hydrogen concentration of the environmental chamber body at multiple points; and the control system is used for connecting and controlling the air conditioning system, the fresh air system and the exhaust suction system to simulate the high-altitude temperature, humidity and low-pressure pressure, and is also used for receiving the oxygen concentration and the hydrogen concentration in real time and giving an alarm when any gas concentration is abnormal. According to the hydrogen-related high-altitude environmental chamber system and the testing method thereof, the temperature, humidity and low air pressure of high altitude can be simulated, the concentration of hydrogen and oxygen can be monitored in real time, multi-point accurate monitoring is performed on hydrogen, and automatic and timely treatment is performed when the concentration of hydrogen and oxygen is abnormal.

This application discloses a one-dimensional variational inversion method and apparatus for GNSS occultation data. The method includes background field preparation: interpolating temperature, air pressure, and water vapor pressure from the grid field to the latitude and longitude of the occultation data; simultaneously, interpolating the liquid water content and ice water content in the clouds to the latitude and longitude of the occultation data to obtain the background field profile required for inversion; and inputting observation data and background field: inputting the occultation data, background field profile, observation error covariance matrix, and background field error covariance matrix into the one-dimensional variational inversion system. By adding liquid water content and ice water content terms to the observation operator, the deviation between the observation data and the background field data is calculated, and the distribution characteristics of the deviation are statistically analyzed. After adding liquid water and ice water, the average refractive index deviation between the two types of data is significantly reduced.

The invention discloses multi-dimensional meteorological data acquisition equipment based on crop climate zoning, and relates to the technical field of meteorological data acquisition equipment.The multi-dimensional meteorological data acquisition equipment comprises a vertical rod, a first connecting ring is installed on the outer side of the vertical rod, a first plate body is installed on the front face of the first connecting ring, and a controller is installed at the bottom of the first plate body; a sensor assembly is arranged at the bottom of the first plate body; third electric telescopic rods are symmetrically installed at the bottom of the first plate body, second push rods are installed at the output ends of the third electric telescopic rods, and a filtering frame is installed at one end of each second push rod and located on the outer side of the corresponding third electric telescopic rod. When a dust sensor detects that the dust concentration reaches a set value, a filter frame is driven by a third electric telescopic rod to move upwards, so that the filter frame moves upwards to cover a communicator, a controller, a temperature sensor, a humidity sensor, an air pressure sensor and the dust sensor at the bottom of a first plate body, and the situation that the detection precision is affected by dust covering is avoided; the accuracy of a detection result is ensured.

Provided is a method for controlling a mask apparatus. The method for controlling the mask apparatus includes measuring a current pressure value with respect to a mask by using a pressure sensor, comparing each of a preset atmospheric pressure maximum estimation and a preset and a preset atmospheric pressure minimum estimation to the current pressure value; updating the atmospheric pressure maximum estimation and the atmospheric pressure minimum estimation according to the comparison result, and controlling a voice output of a speaker based on a difference between the updated atmospheric pressure maximum estimation and the updated atmospheric pressure minimum estimation.

This invention relates to the field of sensors and discloses a sensor drift correction method and system based on transfer learning, comprising the following steps: S1, collecting sensor data, including triaxial acceleration data, temperature, humidity, and air pressure environmental parameters; S2, calculating the magnitude of the triaxial composite vector. In this invention, a zero-point mapping model is constructed by using Gaussian process regression. The combined kernel function of periodic kernel, linear kernel, and RBF kernel can simultaneously capture the periodic fluctuations of environmental factors, the long-term trend of sensor aging, and short-term random noise. The maximum mean difference loss function is used to achieve adaptive distribution alignment between the source domain and the target domain, enabling the model to quickly adapt to the target domain. At the same time, a slope intercept joint judgment matrix is ​​introduced to achieve accurate differentiation between zero-point drift and real motion and tilt events, with an accuracy of over 96%. This effectively avoids measurement distortion caused by miscompensation and significantly improves the reliability and data credibility of the system.

The application discloses a kind of atmospheric time delay calculation method based on ray tracing, the present application relates to atmospheric time delay calculation technical field, the specific content of the present application is: obtaining multi-source meteorological data, extracting temperature, specific humidity, three kinds of key meteorological parameters such as air pressure, by optimizing interpolation to complete vertical layering blank and correct grid deviation, to construct three-dimensional atmospheric parameter field of time and space continuity;Based on atmospheric physical characteristics and electromagnetic wave propagation principle, calculate atmospheric refractive index and its gradient;With station location as starting point, set the angle of incidence of electromagnetic wave, adopt nonlinear dynamic step length strategy to track propagation path, and compare actual and vacuum propagation time to obtain time delay result.The present application considers data integrity and timeliness, avoids experience model deviation, and improves the calculation precision of atmospheric time delay.

A rotary wing drone communicates its altitude (determined by an onboard GPS receiver) and an air pressure (from multiple onboard barometers) to a ground station which has a known height above sea leve

The present invention discloses a ground-based measurement device and method for the diffusion coefficient of volatiles injected into simulated lunar soil, belonging to the field of lunar volatile research equipment. The device includes a sample chamber connected to an ion injection mechanism and a pressure sensor connected to the sample chamber. The ion injection mechanism can inject volatile ions into the sample in the sample chamber, the sample chamber can be heated, and the pressure sensor can detect the pressure inside the sample chamber. The method performs high-precision volatile injection on simulated lunar soil or lunar soil mineral samples, gradually heats the sample injected with volatiles to release volatiles due to heat, monitors the changes in air pressure inside the system, and uses the changes in air pressure to measure the diffusion coefficient of volatiles in the sample at different temperatures. According to the technical solution of the present invention, ion injection and heating release are used to implement repeatable experiments on the ground to simulate the diffusion behavior of lunar soil volatiles.

The invention discloses an MEMS gravity sensor air pressure and temperature decoupling compensation method and system based on frequency response analysis. Placing the MEMS gravity sensor in a preset air pressure and temperature environment, obtaining a plurality of groups of corresponding resonant frequencies and quality factors Q, and constructing a mapping relation between the Q and the air pressure and the temperature; in the operation process of the sensor, the sum Q is measured in real time, and the variable quantity of the ambient air pressure and the temperature is obtained through inversion of the mapping relation; and introducing the variation of the ambient air pressure and the temperature into a compensation correction model, and decoupling and correcting the gravity output of the sensor. According to the method, an external sensor is not needed, inconsistency caused by space position difference is avoided, the system structure is more compact, hardware complexity and power consumption are lower, the long-term stability and measurement precision of the MEMS gravimeter in a complex environment can be remarkably improved, and miniaturization, low power consumption and array application are facilitated.