161 results about "Atmospheric temperature" patented technology

The invention relates to the technical field of wetland carbon evaluation, and discloses a wetland carbon flux evaluation and management system based on three-dimensional digital twinning. The system comprises a three-dimensional modeling module, a flux monitoring module, a model optimization module and a twin updating module. The three-dimensional modeling module integrates wetland geographic space coordinates, an ecological parameter set and elevation, vegetation coverage density and soil type layering information, constructs a three-dimensional terrain grid model, and generates a three-dimensional digital twinborn body with a geographic mark; the flux monitoring module is used for collecting data such as atmospheric temperature gradient based on real-time environmental parameters, extracting carbon flux change characteristics through time sequence analysis and outputting a dynamic distribution state value; the model optimization module uses an adaptive evolutionary algorithm to adjust the parameter matching degree, iteratively updates constraint conditions, and generates an optimization parameter set; and the twin updating module recognizes abnormal grid units according to the abnormal grid units, corrects attributes by combining measured data, calibrates a topological relation, and outputs an updated evaluation model.

The invention belongs to the technical field of intelligent agriculture, and discloses a canopy-atmospheric environment information-based soil water content prediction method and system, and the method comprises the steps: setting a canopy and atmospheric environment monitoring unit in a field, and synchronously collecting the canopy temperature, wind speed, relative humidity, and six-dimensional environment parameters of atmospheric temperature, wind speed and relative humidity; the crown temperature difference is calculated after preprocessing; the method comprises the following steps: constructing a training set by utilizing measured data of soil relative water content, constructing a soil water content prediction model by adopting a random forest algorithm, screening and confirming an optimal prediction model through grid search and cross validation, and screening key features by combining an SHAP value; the water demand is automatically calculated according to a pre-established crop whole-growth-period drought stress threshold table and a dynamic irrigation decision formula, and meanwhile, the adaptation of a general model to a regional specific model is realized by constructing an environmental parameter-actually measured water content database and transfer learning, so that the soil water content state is accurately predicted, and the soil quality is improved. And a scientific basis is provided for precise irrigation.

The invention relates to a laser wind finding radar power spectrum correction method based on multi-source observation data, and belongs to the field of radio. On the basis of high-frequency sounding balloon observation data and a networked microwave radiometer inversion product, a correction strategy between deviation and microwave radiometer observation quantity is designed by utilizing the deviation of the two data, and an atmospheric temperature and humidity profile with high temporal-spatial resolution and high quality is generated; based on multi-source vertical observation data, the atmospheric state and the micro-physical inherent attributes of aerosol can be reflected in real time, and the backscattering coefficients and extinction coefficients of atmospheric and aerosol particles can be calculated; complexity of atmosphere and aerosol, scattering characteristics of a target object, micro-physical characteristics and other factors are considered, and it is reliable to use an echo signal output by an advanced laser radar echo signal simulator as a truth value. Power spectrums are divided into three types according to spectrum skewness, training of a gradient strengthening model is facilitated, and accurate and efficient correction of actual measurement power spectrum information of the laser wind finding radar is achieved.

The invention provides an atmospheric temperature and humidity profile repairing method integrating a statistical method and a deep learning technology, belongs to the technical field of meteorological observation, and aims to solve the problem of large-area data missing caused by cloud pollution by taking an FY-4B satellite temperature and humidity profile product as a processing object. Data reconstruction is realized through a three-stage architecture of random cloud mask generation, statistical filling and pre-restoration, and deep learning and fine correction; according to the method, the problem of data truth value missing is solved, meanwhile, the advantages of a statistical method and a deep learning technology are combined, the repair precision in an extreme missing scene is remarkably improved while physical reasonability is guaranteed, and meanwhile the method has the advantages of being few in needed computing resources, high in computing speed and the like.

A multiple functional instrument is provided. The instrument includes an optical autocovariance function interferometer that can feature multiple fields of view to detect winds in the atmosphere. The instrument can include an infrared camera to detect atmospheric temperatures and the presence of clouds, and a detector assembly that detects the polarization of light returned to the interferometer. Data collected by the instrument can be provided to a deep and reinforcement learning algorithm for real-time prediction of clear air turbulence and other wind-based aviation safety phenomena. Moreover, predicted and actual conditions can be correlated and used to train a deep learning algorithm to enable more accurate predictions. The instrument can be carried by an aircraft or other platform and operated to detect clear air turbulence or other atmospheric phenomena, and to provide instructions regarding flight parameters including wind-aided navigation in order to minimize the effect of predicted turbulence.

The invention belongs to the technical field of soil analysis, and particularly discloses a device and method for simulating the influence of a seasonal frozen region environment on the water heating power of a pile soil foundation. The device comprises an experiment box, an environment airflow simulation device, a pressing device, a separation device, a water supplementing device, a heating device, a moisture detection device, a temperature detection device, a compaction degree detection device, a pile body and a control system, wherein the control system is used for receiving signals of the moisture detection device, the temperature detection device and the compaction degree detection device and controlling all the devices to operate. Devices such as a removable partition plate, a thin film and a jack are arranged, and monitoring and control of soil moisture and compactness are performed, so that a real multi-layer soil environment is highly simulated, and the experiment accuracy and the result reliability are improved; in a freezing and thawing cycle process, a moisture transmission condition which is the same as that of a real multi-layer soil environment is accurately provided; the temperature gradient is constructed by the soil temperature in the box and the external atmospheric temperature, the temperature control can be optimized, the energy consumption is reduced, and an efficient and accurate platform is provided for the water thermal research of the pile-soil foundation in the seasonal frozen region.

The invention relates to an airglow layer gravity wave spectrum temperature imaging system and a two-dimensional temperature field point-surface fusion inversion method. The airglow layer gravity wave spectrum temperature imaging system comprises a fine spectrum detection subsystem, a rotation temperature spectrum measurement subsystem and a large-view-field gravity wave imaging subsystem. The three subsystems are respectively provided with three progressively-increased field angles and carry out synchronous detection, a detection area and a detection target are organically cooperated, image and data processing is carried out in the later period, and the fine spectrum detection subsystem and the rotating temperature spectrum measurement subsystem carry out cooperative calibration, so that high-precision inversion of the atmospheric temperature can be realized. And the linear relation between the airglow radiation intensity and the atmospheric temperature is obtained. A small, medium and large field-of-view collaborative observation mode is adopted, and through a point-surface fusion detection method and a data inversion algorithm, a linear relationship between high-accuracy airglow radiation intensity constructed by single-point detection and atmospheric temperature is expanded and fused to an airglow radiation field with a horizontal two-dimensional resolution capability; therefore, the temperature field with the same detection precision and the horizontal two-dimensional resolution capability is obtained.

The invention relates to a near space non-uniform atmospheric refraction angle calculation method, which comprises the following steps: acquiring a deflection angle of light in the atmosphere, and obtaining a refraction angle model; determining atmospheric density change, obtaining a Boltzmann statistical model, and further obtaining a Boltzmann energy distribution model; determining molecular kinetic energy and potential energy, substituting the molecular kinetic energy and potential energy into a Boltzmann energy distribution model to obtain the atmospheric molecular number density away from the geocenter, and determining the change rule of the atmospheric molecular number density along with the altitude and the atmospheric temperature according to the atmospheric molecular number density away from the geocenter; acquiring a transmission path from the observation height to the top of the atmospheric layer, and acquiring the atmospheric temperature and atmospheric pressure at the observation height by combining the change rule of the atmospheric molecular number density along with the altitude and the atmospheric temperature; and inputting the atmospheric temperature and the atmospheric pressure at the observation height into an Elden refractive index model to obtain a refractive index value under a corresponding radiation condition, and inputting the refractive index value into a refraction angle model to obtain a refraction angle.

The invention belongs to the technical field of aerodynamic design and verification of helicopters, and particularly relates to a method for evaluating the maximum take-off and landing weight of a civil helicopter in a class-A barrier-free airport. Comprising the following steps: selecting airports with different target heights and flight weights for takeoff and landing of a class-A barrier-free airport; obtaining the maximum weight GW1 of the takeoff and landing flight verification of the A-type barrier-free airports of the airports with different target heights; calculating the maximum takeoff weight Gw2 along with the change of the atmospheric temperature and the atmospheric pressure height within the A-type takeoff landing height and temperature envelope range after the takeoff acceleration torque increment is considered; obtaining the flight maximum weight GW3 equal to the test residual power Pw; taking off and landing in an A-class barrier-free airport within the range of atmospheric temperature and atmospheric pressure height; within the takeoff and landing atmospheric temperature and air pressure height range of the class-A barrier-free airport, the maximum flight weight GW5 corresponding to the remaining climb rate of 150 ft / min at the non-working power OEICT of one engine within 30 minutes and the selected speed VY of 1000 ft away from the ground is calculated; and comparing the maximum weight and taking a small value to obtain the maximum take-off and landing weight of the class-A barrier-free airport.

The invention relates to the technical field of interdiscipline, in particular to a grain depot equipment intelligent operation and maintenance management system based on SAAS, and the system comprises a data collection unit which obtains the atmospheric temperature provided by an external meteorological data interface, and records the preset grain variety physical attributes; the digital twin modeling unit is used for solving a predicted temperature distribution field of the grain pile; the risk quantitative evaluation unit is used for calculating a comprehensive risk state index based on the predicted temperature distribution field and the real-time grain humidity, and judging a risk level according to a preset risk threshold value; the optimization decision-making unit is used for generating an optimal intervention strategy; when the risk level is the security level, maintaining the current intervention strategy; the model self-adaptive correction unit is used for comparing the predicted temperature output by the digital twin modeling unit with the real-time grain temperature acquired by the data acquisition unit and updating a self-adaptive deviation item in the model according to deviation; according to the invention, the reliable foundation of prediction and decision-making of the whole intelligent operation and maintenance management system is ensured.

The invention provides an overhead atmospheric temperature measuring device and method. The measuring device comprises at least one temperature probe and a temperature measuring circuit. The temperature probe adopts a patch type four-wire platinum resistor temperature sensor, spaceflight white paint is coated on the surface of the temperature probe and a nearby cable, and the temperature probe is arranged on the outer surface of the high-altitude balloon; the temperature measurement circuit adopts a four-wire system constant current source temperature measurement circuit and comprises a power conversion circuit, a constant current source circuit, a filter circuit and an instrument amplification circuit.

The present application relates to the field of data processing technology, and in particular to a method, device and computing equipment for determining an atmospheric temperature profile. The method first obtains a space-based atmospheric temperature profile and a ground-based atmospheric temperature profile in the same area and at the same time; the space-based atmospheric temperature profile corresponds to a first altitude range, and the ground-based atmospheric temperature profile corresponds to a second altitude range; then the height segmentation value and the required maximum altitude value are determined; then the first altitude range is segmented according to the height segmentation value and the maximum altitude value to obtain a third altitude range; the second altitude range is segmented according to the height segmentation value to obtain a fourth altitude range; finally, the space-based atmospheric temperature profile of the third altitude range and the ground-based atmospheric temperature profile of the fourth altitude range are combined to obtain a determined atmospheric temperature profile. The atmospheric temperature profile determined by the determination method provided by the present application has a high accuracy.

The invention belongs to the technical field of atmosphere data detection, and particularly discloses a helicopter distributed three-axis atmosphere data measuring device which comprises a left three-axis atmosphere measuring assembly and a right three-axis atmosphere measuring assembly which are installed on the two sides of a nose and are the same in structure. Each airspeed tube consists of a rotary airspeed tube and an electronic component; the rotary airspeed tube and the electronic component are electrically connected through the fuselage skin opening; the rotating airspeed tubes are mounted outside skins on two sides of the machine head and used for sensing total pressure, static pressure, local attack angle and local sideslip angle of the synthetic gas flow in real time; the electronic component is arranged in the machine head skin and used for collecting the total pressure, the static pressure, the local attack angle, the local sideslip angle and the atmospheric temperature of the synthetic gas flow, conducting parameter calculation and outputting atmospheric parameters. According to the invention, the problem that a centralized atmosphere data system, a distributed atmosphere data system and a three-axis atmosphere data system have different restrictions on the use of a helicopter at present is solved.

The invention relates to the technical field of atmospheric remote sensing, in particular to an all-weather temperature and humidity inversion method based on a laser radar, which comprises the following steps: S1, acquiring laser radar data of related wavelengths required by water vapor and temperature inversion, and preprocessing the laser radar data; s2, carrying out noise filtering processing on the laser radar data preprocessed in the step S1; and S3, performing inversion processing on the laser radar data subjected to noise filtering processing in the step S2 by using a temperature and humidity inversion formula and substituting the calibration parameters so as to obtain an atmospheric temperature profile # imgabs0 # and an atmospheric humidity profile # imgabs1 #. Through self-adaptive filtering treatment, signal smoothness is ensured, abundant high-altitude information is reserved, the temperature and humidity detection distance is increased, all-weather detection of the temperature and humidity is ensured, the temperature and humidity inversion precision can be effectively improved, in addition, the method can adapt to the complex atmospheric environment, the data reliability is high, and the method is suitable for popularization and application. And all-weather and long-term temperature and humidity data inversion is further effectively supported.

The invention discloses a method for inverting a cloud condensation nucleus number concentration profile based on a laser radar and a neural network. The method comprises the following steps: collecting multi-wavelength laser radar data including a backscattering coefficient vertical profile, an extinction coefficient vertical profile, a laser radar ratio and a depolarization ratio; the method comprises the following steps: acquiring an atmospheric temperature profile and a water vapor mixing ratio profile which are in time-space synchronization with multi-wavelength laser radar data, performing grid alignment on a vertical height, and constructing a multi-channel input feature set for each preset target supersaturation ratio; and constructing a convolutional neural network profile inversion model, taking the multi-channel input feature set as input and the cloud condensation nucleus number concentration profile data as output, training the model, and obtaining the trained convolutional neural network profile inversion model. According to the method, the limitation of continuous, high-precision and high-temporal-spatial-resolution detection of CCN number concentration vertical distribution is overcome, and key data support is provided for the fields of weather forecast, climate models, artificial influence weather and the like.

The invention provides an atmospheric temperature and humidity profile inversion method, device and equipment, a medium and a program product, and relates to the technical field of atmospheric remote sensing, and the method comprises the steps: collecting the brightness temperature data of the atmosphere, the cloud feature data of the atmosphere and the ground temperature, humidity and pressure data; inputting the brightness temperature data, the cloud feature data and the ground temperature, humidity and pressure data into a meteorological profile inversion model to obtain an atmospheric temperature and humidity profile output by the meteorological profile inversion model; wherein the meteorological profile inversion model comprises a multi-modal feature extraction layer, a double-flow collaborative network layer and a physical-data hybrid constraint layer. According to the method, cloud feature data and ground temperature, humidity and pressure data are introduced into atmosphere temperature and humidity profile inversion of the microwave radiometer, and an artificial intelligence algorithm is introduced to realize multi-modal feature fusion and automatically adapt to different weather conditions, so that the inversion precision of the atmosphere temperature and humidity profile is improved.

The present invention discloses a method for measuring atmospheric temperature fluctuations, which uses a laser of a moiré tomography device to emit a collimated light beam to obtain moiré fringes; within the measurement time, the moiré fringes are continuously collected frame by frame, and local moiré fringes at the same position of each frame are intercepted; according to the displacement value of the local moiré fringes in time and the spacing of the moiré fringes, the deflection angle of the outgoing light beam after the collimated light beam enters the atmosphere is calculated; finally, the atmospheric refractive index fluctuation is calculated through the deflection angle of the outgoing light beam, and the atmospheric temperature fluctuation is calculated according to the atmospheric refractive index fluctuation. The present invention introduces the moiré tomography technology into the measurement of atmospheric temperature fluctuations, and provides a certain reference for studying the laws of atmospheric turbulence itself and the influence of the atmosphere on detection, communication and other aspects.

1. Name of the product of this design: Intelligent Weather Station (All-in-One). 2. Purpose of the product of this design: Used to measure atmospheric temperature, atmospheric humidity, wind speed, wind direction and atmospheric pressure meteorological elements. 3. Key points of the design of this product: The overall shape of the product. 4. The picture or photo that best illustrates the key points of the design: Stereoscopic view 1. 5. The rear view is the same as the front view, and the rear view is omitted.

This invention discloses a method and system for predicting the structural response of historical buildings under atmospheric temperature fields. The method includes: acquiring atmospheric temperature field information, structural temperature field information, and structural response information over a past period; using the atmospheric temperature field information, structural temperature field information, and structural temperature field information and structural response information as training sets, respectively, to establish and train an atmospheric temperature prediction model for structural temperature and a structural temperature prediction model for structural response based on artificial intelligence algorithms; predicting future structural temperature field information based on future atmospheric temperature field information and historical structural temperature field information using the atmospheric temperature prediction model for structural temperature; and predicting the future structural response information of the historical building structure over a future period based on future structural temperature field information and historical structural response information using the structural temperature prediction model for structural response. This invention improves the accuracy and precision of predicting the structural response of historical buildings as atmospheric temperature changes, and has a wide range of applications.

The present invention discloses a data processing method and system for a weather radar, the method comprising the steps of: obtaining an atmospheric temperature profile collected by a microwave radiometer and performing quality control, extracting a 0°C height and a -20°C height from the atmospheric temperature profile after quality control; obtaining weather radar data of multiple radars and performing quality control, fusing the weather radar data after quality control of multiple radars, obtaining three-dimensional grid point data arranged in a unified height, latitude and longitude, identifying storm components and storm cells based on the three-dimensional grid point data; calculating a storm cell hail characteristic height according to the 0°C height and the centroid height of the storm components contained in the storm cell; calculating the height difference between the storm cell hail characteristic height and the 0°C height, and calculating the probability of hail occurring in the hail cell according to the height difference. The present invention can reduce the false alarm rate of hail monitoring of weather radar and improve the accuracy of hail monitoring.

The present invention discloses an atmospheric temperature measuring device, comprising a first shading plate, a second shading plate, an outer guide plate, an inner guide plate, a guide body, a temperature sensor probe, a heat-insulating support rod, a first heat-insulating fixing rod, a second heat-insulating fixing rod and a third heat-insulating fixing rod, wherein the first heat-insulating fixing rod and the second heat-insulating fixing rod are symmetrically installed between the first shading plate and the second shading plate, and the outer guide plate, the inner guide plate and the guide body are sequentially installed on the first heat-insulating fixing rod and the second heat-insulating fixing rod from top to bottom. The atmospheric temperature measuring device of the present invention has a structure composed of a double-layer guide plate, the center opening of the guide plate is downward, pointing to the temperature sensor probe, has a certain guide effect and can prevent solar radiation from directly irradiating the internal temperature sensor probe. A shading plate is placed above and below the temperature measuring device to effectively reduce direct solar radiation from above and reflected solar radiation from the underlying surface, thereby reducing heat pollution.

The present invention relates to an airglow layer gravity wave spectral temperature imaging system and a two-dimensional temperature field point-surface fusion inversion method, comprising a fine spectrum detection subsystem, a rotational temperature spectrum measurement subsystem, and a large-field-of-view gravity wave imaging subsystem. The three subsystems are each provided with three increasing field-of-view angles and perform synchronous detection. The detection area and the detection target are organically coordinated. Later, through image and data processing, the fine spectrum detection subsystem and the rotational temperature spectrum measurement subsystem are collaboratively calibrated to achieve high-precision inversion of atmospheric temperature and obtain a linear relationship between airglow radiation intensity and atmospheric temperature. Using small, medium, and large field-of-view collaborative observation modes, and through a point-surface fusion detection method and a data inversion algorithm, the highly accurate linear relationship between airglow radiation intensity and atmospheric temperature constructed by single-point detection is expanded and fused to an airglow radiation field with horizontal two-dimensional resolution, thereby obtaining a temperature field with the same horizontal two-dimensional resolution of detection accuracy.

The invention discloses a miniature automatic weather station and a temperature measurement optimization control method and system. The temperature measurement performance of the miniature weather station is improved through global comprehensive optimization in the aspects of a system structure, circuit layout and a data algorithm. The system structure is improved, the structural design of the double-layer vertical-wall hollow cylindrical radiation-proof cover retains the advantage of compact structure of the miniature automatic weather station, and meanwhile, a conventional horizontal natural ventilation radiation-proof cover in a louver blade overlapping form is changed into the double-layer vertical-wall hollow cylindrical radiation-proof cover; sampling airflow is changed from horizontal natural ventilation airflow to vertical active air exhaust sampling. According to real-time meteorological environment data, a sampling air pump is driven and controlled in a segmented mode to operate, the solar radiation intensity, the atmospheric wind speed and the atmospheric temperature are used as control variables to determine the operation speed and the sampling flow of the sampling air pump, and a working mode, a circulation control variable and a working time sequence are selected. And in the aspect of a data processing algorithm, a multi-source data fusion calibration method is adopted to improve the accuracy of temperature measurement data.

The invention discloses a temperature monitoring and control method in a large-volume concrete pouring process of a fan foundation, which belongs to the technical field of fan foundation construction and comprises the following steps: S10, arranging temperature measuring points in the foundation: arranging at least two temperature measuring points along the radial direction of the foundation; s20, test element installation: arranging a first test element for monitoring the atmospheric temperature on the outer side of the foundation; correspondingly installing a second test element at each temperature measurement point in the foundation; s30, constructing a temperature change model; and S40, inputting real-time monitoring data of each monitoring point in the pouring process into the temperature change model, wherein the temperature change model gives an implementation regulation and control scheme. According to the method, the temperature change of mass concrete in the pouring process can be monitored in real time, an accurate regulation and control scheme is given, real-time and accurate monitoring and regulation and control can be achieved, and the construction quality requirement of a wind power foundation is met.

The present invention discloses a temperature prediction system for measuring atmospheric physical structure. The system comprises a space-based module that periodically collects space-based atmospheric data from the airspace below and records the collection time; several ground-based modules that obtain several copies of ground-based atmospheric data from the airspace above; several image acquisition modules that obtain characteristic images of the airspace above; a processing module that, based on the collection time of the space-based atmospheric data, obtains the ground-based atmospheric data with the closest collection time from the corresponding copies of ground-based data; obtains cloud data and atmospheric analysis data based on the collection time of the space-based atmospheric data; obtains the corresponding atmospheric temperature profile based on the atmospheric analysis data; and several prediction modules that are used to obtain correction data; and obtains temperature data at several preset heights based on the correction data.

The disclosure relates to a control device. The control device includes an acquisition unit configured to acquire an infrared image including at least part of surroundings of the moving object, and an estimation unit configured to estimate an imaginary horizontal axis based on an atmospheric temperature distribution shown by the infrared image.

The invention relates to a forest steppe combustible moisture content detection method, and relates to the field of combustible moisture content detection.The forest steppe combustible moisture content detection method comprises the steps that a combustible sample to be detected is weighed and then put into a container, and the container is put into a high-low temperature test box; setting the temperature and humidity of a high-low temperature test box and the wind speed of an airflow generator; acquiring atmospheric humidity, atmospheric temperature and wind speed for recording weather elements; adding quantitative water into the container, and recording the volume of the added water and the hygrometer value of the combustible; dividing the collected data set into a training set, a verification set and a test set; calculating input parameters by using a neural network, and adjusting the input parameters to receive atmospheric temperature, humidity, wind speed and combustible humidity parameters as input; a training set is used for training a model, hyper-parameters of the model are adjusted through a verification set, an optimization algorithm is utilized, network weight is updated, an error between a predicted value and the actual moisture content is minimized, and the problem that the moisture content of the combustible is not accurately measured is solved.

1. The name of the design product: Raman and Mie scattering temperature and humidity aerosol lidar. 2. The use of the design product: for high spatial and temporal resolution vertical distribution measurement of atmospheric temperature, humidity and aerosol. 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 invention discloses a tropospheric atmospheric temperature and humidity profile inversion method based on a multi-objective genetic algorithm, and specifically relates to the technical field of computer systems based on a multi-objective genetic algorithm. The method specifically comprises the following steps: S1, first constructing an objective function, setting reasonable constraints such as temperature and humidity lapse rates, so that the errors between the calculated values ​​and the measured values ​​of the simulated brightness temperatures of the water vapor channel and the oxygen channel are minimized; in this embodiment, it is specifically explained that the objective function uses temperature and humidity data variables collected in the troposphere to represent the target form of the temperature and humidity profile; the temperature and humidity lapse rates are such that in the troposphere, the temperature and humidity decrease with increasing altitude; compared with the traditional tropospheric atmospheric temperature and humidity profile inversion method, the present invention adopts a multi-objective genetic NSGA2 algorithm, establishes an inversion model of the tropospheric atmospheric temperature and humidity profile through the NSGA2 algorithm, and improves the inversion accuracy of the tropospheric atmospheric temperature and humidity profile.