16 results about "Observation parameter" patented technology

A method includes obtaining satellite information, including a plurality of navigation satellite identifiers, and satellite data, observed values of an observation parameter, and weight values that are separately associated with the plurality of navigation satellite identifiers; determining that an inaccurate observed value exists in a set of the observed values; determining, based on the satellite information, a check vector representing accuracy of the set, and a plurality of eigenvectors representing accuracy of an observed value of the observation parameter that is associated with a corresponding navigation satellite identifier; performing cluster analysis on the check vector and the plurality of eigenvectors, and determining a target navigation satellite identifier corresponding to an eigenvector that is of a same type as the check vector; and performing selection in the plurality of navigation satellite identifiers and / or adjusting a weight value associated with the target navigation satellite identifier based on the target navigation satellite identifier.

This invention discloses a crop-adaptive agricultural meteorological observation system, belonging to the field of agricultural meteorological observation technology. It integrates multiple devices to collaboratively measure various meteorological variables to indicate weather conditions, deploys them in a grid-like layout, and collects and transmits data regularly. It collects key growth parameters according to crop growth stages and synchronously correlates them with meteorological data; optimizes data and accurately matches it to construct a fusion dataset; establishes a correlation model to identify key meteorological factors; adjusts observation parameters according to crop needs; sets two-level early warnings and pushes information through multiple channels; retrieves data from multiple dimensions and securely stores it; and provides visual operation and parameter setting functions. This invention improves the accuracy of meteorological data through multi-variable collaborative observation, dynamically adapts to the needs of different crop growth stages and varieties, provides comprehensive regional collaborative observation coverage, timely and targeted early warnings, supports linkage with external devices, promotes the refinement and intelligence of agricultural meteorological observation and planting management, and helps ensure crop growth.

This invention discloses a method for inverting sea surface wind speed from GNSS reflected signals based on mask perception and image-based Mamba-CNN. The method includes: performing spatiotemporal matching and interpolation processing on multi-source spaceborne GNSS-R observation data and ERA5 reanalysis data; gridding the processed observation parameters according to geographical location to obtain a multi-channel grid image and acquiring a binarized occupancy mask; inputting the multi-channel grid image and the binarized occupancy mask into a mask perception Mamba-CNN model; calibrating the grid features through a mask conditional encoder and a feature linear modulation layer, and performing spatial modeling using feature extraction blocks combining convolutional and Mamba state space paths to obtain the wind speed inversion result; aggregating the extracted features using center-perception pooling, and outputting the final sea surface wind speed inversion image through a regression network. This invention can significantly reduce computational complexity, effectively reconstruct the continuous wind field structure, and improve the inversion accuracy and robustness in high-wind-speed areas.

The present application relates to the technical field of safety monitoring, in particular to a hoist safety performance evaluation method, the method comprising: taking hoist motor current and rope tension as observation parameters, recording data under differentiated working states, identifying dynamic characteristics of the hoist through analyzing the data, and generating dynamic parameter record results. In the present application, dynamic parameter recording allows real-time capture of subtle changes of the hoist under differentiated working states, providing a basis for accurately identifying dynamic characteristics of the equipment, and the application of performance fluctuation indicators further utilizes dynamic recording, identifies fluctuations and deviations outside the normal range through analyzing data changes, provides a basis for judging the severity of fluctuations and taking corresponding adjustment measures, improves the monitoring capability and fault prevention efficiency of the hoist operating state, can identify and take measures in time before potential risks develop into serious faults, reduces the probability of accidents, and improves the safety and efficiency of operations.

The invention discloses a method and a system for correcting hygroscopic parameters of non-ideal mixed aerosol and a medium, and belongs to the technical field of atmospheric measurement. The method comprises the following steps: acquiring instrument observation data; estimating instrument observation data through a ZSR ideal mixing criterion, and generating ZSR hygroscopic observation parameters; obtaining an input feature data set according to the ZSR hygroscopic observation parameters, the instrument observation data and inversion hygroscopic observation parameters generated by inversion of the instrument observation data; inputting the input feature data set into a pre-constructed deviation prediction model, and outputting a non-ideal mixed deviation item; calculating a main effect value of the input feature data set, and generating empirical correction terms based on key features according to the main effect value; and obtaining a moisture absorption parameter correction result according to the ZSR moisture absorption observation parameter, a pre-constructed seasonal correction coefficient and an empirical correction item based on the key characteristics. According to the method, the deviation part can be explained, and the contribution degree of each influence factor is quantitatively explained.

The application discloses a kind of non-ideal mixed aerosol hygroscopicity parameter correction method, system and medium, belong to atmospheric measurement technical field.Its method includes: obtaining instrument observation data;Estimate instrument observation data by ZSR ideal mixing criterion, generate ZSR hygroscopicity observation parameter;According to ZSR hygroscopicity observation parameter, instrument observation data and inversion generated by instrument observation data inversion hygroscopicity observation parameter, obtain input feature data set;Input feature data set is input into the bias prediction model pre-constructed, and output non-ideal mixing bias term;Calculate the main effect value of input feature data set, and generate the empirical correction term based on key features according to main effect value;According to ZSR hygroscopicity observation parameter, pre-constructed seasonal correction coefficient, the empirical correction term based on key features, obtain hygroscopicity parameter correction result.The application can explain the deviation part, and quantitatively explain the contribution degree of each influence factor.

The embodiment of the invention provides a scooter rollover processing method, a scooter and a computer readable storage medium, detection equipment is arranged on the scooter, and the detection equipment is used for performing target detection on the detection range of the detection equipment according to a preset period; the method comprises the steps that in the operation process of the scooter, a target detection result of each detection frame in a detection frame sequence of detection equipment is acquired, and the target detection result of each detection frame is used for indicating a parameter value of an observation parameter of each detection target in each detection frame; the following operation control operation is executed based on iteration of the sliding window, and the multiple detection frames in the sliding window in the iteration are multiple intra-window frames: rollover detection is performed on the scooter based on parameter values of observation parameters of at least part of detection targets in each intra-window frame in the multiple intra-window frames; and when it is detected that the scooter is in the rollover state, a motor of the scooter is controlled to stop power output.

The application discloses a kind of zinc rotary kiln working condition intelligent monitoring method, device, terminal and medium, comprising: obtaining the flame video data of kiln head crater collected by industrial camera;According to the preset time length, the key combustion characteristics of material in flame video data are extracted;According to the preset time length, the corresponding key monitoring data are read from equipment monitoring system;The key combustion characteristics and the key monitoring data are combined to form observation parameter matrix according to different arrangement order;Based on convolutional neural network, the fusion features of the observation parameter matrix are calculated, and the kiln condition information is output according to the fusion features.The application obtains the running state of volatile kiln by computer vision and artificial intelligence technology, solves the problem of large time lag and randomness in traditional manual observation of flame and monitoring data based on experience to judge working condition.

The present invention provides a method having an improved pneumatically actuated system that enables reliable movement of one or more positioned pin lifting devices and / or vacuum valves. [Solution] A method for providing control parameters for controlling a vacuum system 1, wherein a control unit 30 derives control parameters based on processing a set of observation parameters, the control unit 30 applying a first control signal to a first control valve 21 to change the pressure of a pneumatic actuator 11, thereby moving a first mount 17 from a first start position to a first end position, monitoring the fluctuating pressure of the first pneumatic actuator with a first fluid sensor 22, determining when the first mount reaches the first end position, and processing a set of observation parameters. The set of observation parameters includes at least the first control signal, the fluctuating pressure, and information regarding the arrival of the first mount at the first end position.

The invention discloses an ortho-rectification method and system for a high-resolution SAR (Synthetic Aperture Radar) image in a fluctuating area. The method comprises the following steps: acquiring observation parameters of a high-resolution DEM (Digital Elevation Model); generating a simulated SAR image by using the observation parameters, matching the simulated SAR image with a real SAR image, correcting an initial positioning deviation, and extracting a control point of a fluctuating region by performing secondary matching on the corrected real SAR image; acquiring a high-density control point of a flat area in the optical reference image and the initially calibrated real SAR image by using a geometric distortion perception multi-mode matching method; and performing statistical analysis based on the control points of the flat area and the control points of the fluctuating area, constructing a geometric fine calibration model, and correcting positioning errors in the azimuth direction and the distance direction for the corrected SAR image to realize high-precision orthorectification. According to the SAR ortho-rectification method combining DEM simulation and multi-mode matching, the problems of fluctuation distortion, DEM low resolution and the like are solved under the condition of no GCP, and high-precision ortho-rectification is achieved.

The invention belongs to the technical field of power station inspection, and provides a power station inspection preset bit configuration method and system based on a three-dimensional Gaussian model. The power station patrol preset position configuration method based on the three-dimensional Gaussian model comprises the following steps: generating the three-dimensional Gaussian model and pre-labeling patrol path information in the three-dimensional Gaussian model; positioning a 3D bounding box of the target equipment and extracting a multi-view image covering each key part of the target equipment in the 3D bounding box; equipment point locations are obtained and bound to a standard equipment model point location ledger; calculating an optimal patrol terminal for observing the equipment point location, and carrying out association binding on the equipment point location, the optimal patrol terminal and the standard equipment model point location ledger; and calculating observation parameters of the optimal patrol terminal corresponding to each equipment point location according to the spatial position relationship between each equipment point location and the patrol terminal associated with the equipment point location, and forming a power station patrol preset position configuration scheme. The intelligent configuration of the inspection equipment can be realized, and the configuration efficiency and accuracy are remarkably improved.

The present application relates to carbon emission technical field, and further relates to a carbon emission accurate measurement system based on multi-scale variational Bayesian inference, which comprises: a data acquisition unit, configured to acquire basic observation parameters at the entrance of each carbon emission monitoring unit, forming a raw basic data sequence arranged in chronological order; a time alignment and channel classification unit, configured to align the raw basic data sequence into basic time slices according to the minimum adjacent collection interval; and organize multi-scale observation structures of short windows, medium windows and long windows for each physical channel; a Bayesian inference unit, configured to proportionally align the fuel channel and the output channel with the exhaust channel as the reference channel; output the emission estimation sequence organized according to the monitoring unit and the basic time slice and the cumulative emission of each window when the preset convergence condition is met, otherwise continue iteration. The present application can significantly improve the accuracy, robustness and applicability of the measurement.

The application discloses a kind of based on service-oriented architecture data observation method, device, equipment and system, involve vehicle-mounted communication technical field, the based on service-oriented architecture data observation method includes: after being connected with host computer, receiving and analyzing observation request sent by the host computer, obtains target interface name, observation parameter and service identification number;According to the target interface name, the observation parameter and the service identification number, the observation request is sent to the application to be observed by extensible service middleware protocol, to make the application to be observed feedback observation data;Receive the observation data, and the observation data is sent to the host computer, to make the host computer complete data observation according to the observation data.The application effectively supports the real-time and accuracy requirement of data observation in vehicle-mounted system, can carry out data observation in real time, so as to improve the performance monitoring, fault diagnosis and optimization ability of system.

The invention discloses a video GIS (Geographic Information System) real-time projection positioning method and system based on a space viewfinder. The method comprises the following steps: acquiring a real-time video frame and observation parameters associated with the time of the real-time video frame; determining the sight line direction of the video pixel points based on a camera imaging model, and converting to a world coordinate system in combination with the position and attitude of the mobile platform; solving an intersection point of the sight line and the ground model based on ground elevation constraint to obtain a geographic drop point and converting the geographic drop point into geographic coordinates; geographic projection is carried out on the video angular points or grid points to construct a projection geometric object, video textures are attached to the projection geometric object to achieve ground-attached display, and the geometric object is driven to deform along with updating of observation parameters so as to follow in real time; outputting a corresponding geographic coordinate when a user clicks or outputs a target pixel through an algorithm; and attitude and angular point geographic information is synchronously recorded for historical playback reconstruction, so that the video has positioning and automatic drop point capabilities consistent with real time. The system comprises a data acquisition unit, a geographic projection calculation unit, a spatial viewfinder rendering unit, an automatic drop point unit and a data storage and playback unit.

The present application relates to the technical field of bamboo forest ecological environment monitoring, in particular, the present application relates to a bamboo forest ecological environment collaborative observation method based on multi-source internet of things sensing, the present application synchronously collects multi-source collaborative observation parameter set of bamboo forest slope surface through internet of things sensor network, then constructs point-surface scale fusion bamboo forest water dynamic model, generates terrain weighted evapotranspiration by using random forest gradient boosting algorithm to correct evapotranspiration point cluster data, obtains runoff subarea total amount according to terrain weight aggregation runoff data, then executes dynamic water balance constraint calculation, combines variational assimilation algorithm to optimize infiltration capacity, when residual error exceeds threshold value, redistributes infiltration capacity spatial proportion according to soil water conductivity, finally, according to residual error spatial distribution thermodynamic diagram, the evapotranspiration point cluster is migrated to the representative area of microtopography, the observation network is self-adaptively optimized, the present application solves the problems of traditional technology data scale disconnection, insufficient observation accuracy and network difficulty in adapting to changes, and improves the accuracy and reliability of bamboo forest ecological observation.

The application discloses an ice buoy heterogeneous measurement data compression and reconstruction method and system, and belongs to the technical field of polar ocean observation data processing. The drift speed and the observation parameter change rate of the ice buoy are extracted at the compression end to construct a polar environment state feature, and a dynamic spatio-temporal observation window is reconstructed according to the feature to perform adaptive spatio-temporal prediction. The feature is used as a feedforward penalty term to adjust a quantization step and Golomb-Rice coding parameters, and high compression ratio packaging and transmission of data under limited bandwidth are realized. After decoding and spatio-temporal registration at the reconstruction end, a trust coefficient based on the environment state feature is introduced for multi-source weighted fusion. A continuous three-dimensional data field is constructed by using a physical guided neural network, error attribution is finally calculated, and reverse control signaling is generated and issued to update the front-end control hyperparameters. The application overcomes the bottleneck of narrowband communication in the polar region, realizes high-fidelity reconstruction and long-term closed-loop self-correction.