280 results about "Remote sensors" patented technology

The invention belongs to the field of remote sensor calibration, and provides an ROLO model improvement method combining foundation and meteorological satellite lunar observation data, which comprises the following steps of: acquiring a meteorological satellite lunar observation image data set and a foundation lunar observation image data set, and respectively correcting the meteorological satellite lunar observation image data set and the foundation lunar observation image data set; obtaining standard meteorological satellite observation moon radiance and foundation observation moon radiance, and calculating observation moon irradiance; calculating geometric parameters of observation points, the earth, the moon and the sun at the observation moments of the foundation and the meteorological satellite, and calculating the moon irradiance of the ROLO model; polynomial fitting is adopted for the relative deviation between the observed moon irradiance of different wave bands and different moon phase angles and the moon irradiance of the ROLO model, and the ROLO model is improved. The method is not affected by the atmosphere, and errors caused by atmospheric correction of ROLO model foundation observation data are directly avoided; and the phase angle dependence of the ROLO model can be corrected, and the prediction precision of the ROLO model can be improved.

The invention discloses a landfill vertical anti-seepage facility management method and system based on digital twinning, and relates to the technical field of environmental governance, and the method comprises the steps: building a landfill digital twinning model based on geological exploration data, and carrying out the parametric modeling of a vertical curtain anti-seepage layer; synchronizing real-time data and the digital twinborn model; processing the monitoring data in combination with a machine learning algorithm model; and remote monitoring and operation of the landfill are realized by combining a cloud platform and a remote sensor. According to the landfill vertical anti-seepage facility management method based on digital twinning, the digital twinning model of the landfill is constructed based on geological exploration data, the reliability and durability of the landfill anti-seepage facility are effectively improved, the remote supervision and risk assessment model is constructed on the cloud platform, the environmental risk is reduced to the maximum extent, and the safety of the landfill is improved. The method has better effects in the aspects of reliability, durability, long-term operation cost and safety of the landfill anti-seepage facility.

The invention relates to the technical field of disaster monitoring, in particular to a convective heavy rainfall monitoring and early warning method and system based on satellite remote sensing, and the method comprises the following steps: calculating the cloud top brightness temperature change of a convective cloud cluster in image data based on the detection data of GPM, FY-3G and H8 satellites, analyzing the time sequence of the cloud top brightness temperature according to the cloud cluster dynamic tracking data, and calculating the time sequence of the cloud top brightness temperature; and obtaining a cloud top temperature feature set. According to the method, through the time sequence analysis of the cloud top brightness temperature, tiny meteorological changes can be rapidly captured, the early-stage potential rainfall risk identification capability is enhanced, the classification process of weather conditions is optimized through the introduction of principal component analysis, the risk assessment accuracy is improved, and through the application of the Kalman filter, the risk assessment accuracy is improved. The dynamic tracking of the cloud cluster is more accurate, the VAR model provides higher reliability in predicting the future meteorological threshold, the deep Q network is combined with the real-time satellite data, the early warning information is updated in real time, and an instant and effective disaster prevention countermeasure is provided.

A vehicle includes a ranged sensor that generates time-series data indicating positions of objects in an environment surrounding the vehicle, a user interface configured to warn the driver of a predicted collision between the vehicle and one of the objects in the environment, and at least one processor including an ECU operatively connected to the ranged sensor and the user interface. The processor records control inputs by the driver driving the vehicle, and develops a driver behavior model associated with the driver driving the vehicle based on the control inputs. The processor also predicts trajectories of the objects and the vehicle based on the time-series data and the driver behavior model, and predicts a collision between the vehicle and one of the objects based on the predicted trajectories. The processor also generates a warning indicating the predicted collision to the driver.

The present invention relates to a method implementing measurements obtained with a LiDAR sensor (2) mounted on a wind turbine (1), and measurements obtained with at least one motion sensor (CAM), as well as a LiDAR measurement model (MOD M) and a wind model (MOD V). The method then implements an informative adaptive Kalman filter (KAL) to determine the wind speed (v) at some estimation points. At least one wind speed characteristic (CAR) can then be possibly deduced therefrom, in the rotor plane for example.

A ground surface treatment vehicle and systems and methods using the same. In some embodiments, the vehicle may be adapted to autonomously or semi-autonomously identify and optionally treat target areas such as divots on turf surfaces. The vehicle may identify the target area via onboard or remote sensors and autonomously treat the target area by providing a treating material such as infill, seed, particulate matter, and liquids.

Sensors outside of a control loop are used in a single axis electrodynamic shaker where an armature exerts variable amounts of vibration with a single degree of freedom on a test unit affixed to a support table. The sensors are remote from the test unit, such as laser sensors measuring movement of the test unit. Typically an array of such shakers move a support table having an affixed test unit. A controller uses inputs from the remote sensors to signal warnings of overturning moments of the support table that can damage the armatures or to shut down.

The invention relates to the technical field of absolute radiometric calibration of satellite infrared remote sensing sensors, and provides a method for analyzing sensitivity of infrared remote sensing calibration black body emissivity to equivalent radiation, which comprises the following steps of: 1, selecting a specific satellite data file as an experimental sample; step 2, extracting key temperature data from the selected data file; 3, performing data calculation according to the data extracted in the step 2; and 4, calculating the equivalent emergent radiation of the black body by using a Planck function and the emissivity of the black body. According to the method, the equivalent emergent radiation of the satellite infrared remote sensing calibration black body is accurately calculated, so that the absolute radiation calibration precision of the satellite infrared remote sensor on the on-satellite black body is effectively improved, and the defects of large workload and low frequency of site calibration, high implementation threshold of cross calibration and the like can be effectively overcome; therefore, high-frequency and automatic radiometric calibration of the on-orbit infrared channel of the remote sensing satellite is realized.

The invention relates to the technical field of remote sensing image processing in computer vision, in particular to a cross-view image matching method and system fused with an eye movement attention mechanism, and the method comprises the steps: training two independent Transfomer encoder branches through a ground-remote sensing cross-view image data set; collecting eye movement track data when a human executes a cross-view image matching task, and generating a human visual attention map; performing image-level fusion on the remote sensing human visual attention map and the remote sensing self-attention map generated by the trained remote sensing Transfomer encoder through a mixed attention module to obtain a mixed attention map; processing the original remote sensing image and the mixed attention map through an image adaptive cutting and resolution enhancement module to obtain a high-resolution remote sensing image; and inputting the high-resolution remote sensing image and the ground image into two pre-trained independent Transfomer encoder branches for secondary training. The attention of the guiding model is more focused on the image key area beneficial to matching, so that the matching precision of the ground image and the remote sensing image is improved.

The present disclosure relates to a method and system for wireless vehicle leveling. The system incorporates a wireless remote sensor featuring an inertial measurement unit, comprising accelerometers, gyroscopes, and magnetometers, to precisely measure the vehicle's tilt in roll, pitch, and yaw axes. The sensor wirelessly communicates with a second computer equipped with a display, providing real-time visualization of the vehicle's current tilt and the necessary adjustments to attain a level position. Additionally, the invention encompasses techniques for eliminating zero-bias caused by magnetic fields and customizing the zero-bias calibration. The method is highly adaptable and compatible with various vehicle types, including recreational vehicles.

The invention provides a hyperspectral remote sensing image generation method and device based on three-dimensional scene radiation simulation, relates to the technical field of remote sensing data processing, and aims at solving the technical problems that in the prior art, hyperspectral remote sensing image data acquisition cost is too high, data sources are few, and the resolution is low. The method comprises the following steps: determining three-dimensional scene data according to a user demand; inputting the three-dimensional scene data into a pre-constructed hyperspectral imaging simulation model, and executing the following operations: based on a global coordinate system, starting from an original point, and emitting randomly distributed light to a three-dimensional scene object through a virtual imaging plane, the three-dimensional scene object being used for simulating optical response of a real ground object structure after light incidence; determining an intersection point of each light ray and the three-dimensional scene object; according to the geometric information and the material information corresponding to the intersection point, combining atmospheric radiation parameters, calculating radiation information of light and radiation data of an entrance pupil of the remote sensor; and generating a hyperspectral remote sensing picture according to the radiation data at the entrance pupil.

The invention discloses an upper limb shoulder joint accurate evaluation and rehabilitation training system and method based on a remote sensor, and is applied to the technical field of rehabilitation medical engineering.The method comprises the steps that original multi-modal data is preprocessed, shoulder joint motion data and voice data are processed in combination with baseline data, and a multi-modal standardized data set is generated; multi-dimensional feature extraction is carried out on the multi-modal standardized data set to generate a feature set, and the feature set comprises time domain features, frequency domain features, nonlinear dynamic features and voice features; on the basis of the feature set, a comprehensive evaluation score of the shoulder joint function is calculated by using a linear and nonlinear combined comprehensive scoring model; inputting the feature set and the comprehensive evaluation score into a pre-trained LSTM time sequence prediction model, predicting a rehabilitation trend and abnormal fluctuation, and generating future score change and rehabilitation inflection point early warning information; and based on the comprehensive evaluation score, the prediction result and multi-modal feature fusion analysis, generating rehabilitation training feedback and adjustment information.

The utility model provides a guitar plectrum module, which comprises a fixed shell, two remote sensing controllers, two plectrum rods respectively connected with the two remote sensing controllers, two plectrum pieces respectively connected with the two plectrum rods, and a pressure spring connected with the two plectrum rods, and is characterized in that two mounting cavities are arranged in the fixed shell; the two remote sensing controllers are arranged in the two mounting cavities respectively, one end of each shifting piece is rotationally connected with the fixing shell, the free end of each shifting piece is connected with the corresponding shifting rod, one end of each pressure spring is fixed to the side wall of the corresponding remote sensing controller, and the other end of each pressure spring is connected with the corresponding shifting rod. According to the plectrum module for the guitar, the remote sensing controller drives the poking rod to rotate, then the poking rod drives the corresponding plectrum to rotate, the pressure spring is pressed, the plectrum is automatically adjusted, when the plectrum needs to return, the remote sensing controller does not exert force, the poking rod can be reset through the pressure spring, then the plectrum is reset, and compared with a torsion spring, the pressure spring does not exert force, so that the plectrum is more flexible. The structure is simple and installation is convenient.

The invention relates to a spectrum imager quantification method, in particular to a hyperspectral remote sensor cross calibration method based on a spectrum matching factor, and aims to solve the technical problem of poor cross calibration precision caused by the fact that an existing hyperspectral remote sensor only depends on a single spectrum channel in the cross calibration process. The method comprises the following steps: 1) obtaining spectrum channel characteristics; 2) calculating the simulated spectral radiance; 3) calculating a spectrum matching factor; 4) obtaining a cross calibration test area; 5) calculating the real spectral radiance of each spectral channel of the reference remote sensor B; 6) obtaining a weight coefficient; the hyperspectral remote sensor cross calibration method based on the spectrum matching factors comprises the steps of (1) obtaining the spectrum matching factors, (2) obtaining the final spectrum matching factors, (3) calculating the real spectrum radiance of each spectrum channel of the to-be-calibrated remote sensor A, and (4) calculating the radiance calibration coefficients of each spectrum channel of the to-be-calibrated remote sensor A. The hyperspectral remote sensor cross calibration method based on the spectrum matching factors reduces errors and improves data accuracy and reliability.

Systems, methods, and devices that facilitate power transfer to a remote sensor using radio frequency (RF) signals described. A remote sensor may harvest energy from signals absorbed by the sensor's antenna. The harvested energy may power the remote sensor and facilitate data transmissions to a base station of a network.

The invention relates to a quasi-static support structure for a reflector of a space remote sensor, and belongs to the field of support of the reflector of the space remote sensor. Comprising a reflector and three plate spring array supporting assemblies. The reflecting mirror is of a horizontally-placed plate-shaped structure. The three plate spring array supporting assemblies are arranged on the lower surface of the reflector, and the three plate spring array supporting assemblies are evenly distributed in the circumferential direction with the center of the reflector as the center. The plate spring array supporting assembly is of a cylindrical structure with a groove in the top. The axis of the plate spring array supporting assembly is arranged in the radial direction of the reflector. Or the axes of the three plate spring array supporting assemblies are perpendicular to the radial direction of the reflector, and an equilateral triangle is defined by the axes of the three plate spring array supporting assemblies; according to the invention, the plate spring group and the knuckle bearing release freedom degree constraint in a specific direction to realize quasi-static support of the reflector.

The invention discloses a dynamic optical-mechanical coupling ray tracing method, which solves the problems that the micro-vibration optical-mechanical integrated analysis technology of a space optical remote sensor is low in efficiency and does not comprehensively consider the elastic deformation of a mirror surface of an optical element, and comprises the following steps: firstly, carrying out finite element modeling on an optical system of the space optical remote sensor, and applying micro-vibration as input; obtaining the structural dynamic response of each component of the optical system under the action of micro-vibration, and obtaining the node displacement of the focused optical surface; reconstructing a smooth optical surface by adopting an interpolation method based on node displacement; establishing an optical-mechanical coupling ray tracing model; and carrying out dynamic ray tracing on the space optical remote sensor based on the ray-machine coupling ray tracing model to obtain the dynamic wavefront difference of the space optical remote sensor. The dynamic analysis of the optical system of the space optical remote sensor is realized by combining various analysis methods, the analysis of optical-mechanical system integration is realized through optical-mechanical coupling, and the dynamic efficient analysis of the influence of micro-vibration on the imaging quality of the space optical remote sensor is realized.

The invention discloses an on-orbit spectrum precision test method and equipment for an ultraviolet hyperspectral remote sensor, and the method comprises the steps: selecting a high-resolution reference solar spectrum higher than the spectral resolution of the ultraviolet hyperspectral remote sensor, and calculating a reference standard solar spectrum according to the high-resolution reference solar spectrum; establishing a reference wavelength library according to the reference standard solar spectrum of the ultraviolet band, and selecting a standard absorption line meeting conditions as a reference wavelength; screening an absorption peak center position of the observation spectrum, finding an absorption peak center closest to the reference wavelength in combination with the reference wavelength library, and constructing a peak searching database of the absorption peak center of the discrete spectrum; and calculating a difference value between the central wavelength calculated according to the peak searching database and the corresponding reference wavelength to obtain the spectrum calibration precision of the ultraviolet hyperspectral remote sensor. According to the method, the precision difference of the spatial dimension can be identified, the distribution of the overall system deviation is quantified, and reliable support is provided for on-orbit precision verification and performance optimization of the ultraviolet hyperspectral remote sensor.

A ground surface treatment vehicle and systems and methods using the same. In some embodiments, the vehicle may be adapted to autonomously or semi-autonomously identify and optionally treat target areas such as divots on turf surfaces. The vehicle may identify the target area via onboard or remote sensors and autonomously treat the target area by providing a treating material such as infill, seed, particulate matter, and liquids.

A portable network router system for communicating with a remote sensor is provided. The system comprises a transceiver configured to transmit and receive radio signals, and comprises a storage device configured to store program instructions and downloaded data. The system comprises a random access memory configured to temporarily store program instructions. The system comprises one or more processors operably coupled to the random access memory, the storage device and the transceiver.

The present invention discloses a device for suppressing background radiation of a medium- and long-wave infrared hyperspectral remote sensor, comprising a first refrigerator assembly, a second refrigerator assembly and a cold box assembly, wherein the first refrigerator assembly and the second refrigerator assembly are respectively connected to the cold box assembly, a spectrometer assembly is arranged inside the cold box assembly, the spectrometer assembly comprises a first spectrometer, a second spectrometer and a third spectrometer, the first refrigerator assembly is respectively connected to the first spectrometer and the second spectrometer through a flexible cold chain, the second refrigerator assembly is connected to the third spectrometer through a flexible cold chain, a window mounting base is arranged on the cold box assembly, and the first spectrometer, the second spectrometer and the third spectrometer are arranged around the window mounting base. The present invention adopts a two-stage refrigeration method for refrigeration, effectively avoids the problem of long startup time of the refrigerator, ensures vacuum deep low temperature refrigeration, and effectively realizes background radiation suppression of the medium- and long-wave infrared hyperspectral remote sensor.

The invention discloses a vehicle battery fire extinguishing auxiliary device with an alarm function, and relates to the technical field of vehicle battery monitoring, the vehicle battery fire extinguishing auxiliary device comprises a test bed and a battery body, the battery body is placed above the test bed, the upper end face of the test bed is fixedly connected with a portal frame, and the two sides of the portal frame are provided with communicating grooves and vertical grooves; a connecting pipe is fixedly connected to the portal frame in a penetrating mode, spray heads are arranged below the connecting pipe at equal intervals, and the battery temperature anomaly monitoring mechanism comprises a two-way memory alloy plate and a movable frame which are symmetrically arranged; when the temperature of the battery body reaches a high-temperature phase trigger value of the two-way memory alloy plate, the two-way memory alloy plate is driven to be automatically bent, the alarm is triggered to work, and when the temperature of the battery body reaches the high-temperature phase trigger value of the two-way memory alloy plate, the alarm can be immediately started, so that the alarm is triggered to work. And waiting for the temperature or smoke to reach the threshold value of a remote sensor is not needed, so that the response time is greatly shortened.

The embodiment of the invention provides a satellite load low-light channel cross calibration method adopting complete earth shadow area moonlight irradiation, which comprises the following steps: selecting stable target observation data of a to-be-calibrated satellite low-light instrument and a reference instrument in complete earth shadow area moonlight irradiation, the to-be-calibrated satellite low-light instrument and the reference instrument being imaging radiometers; carrying out low-quality data removal on observation data irradiated by moonlight in a complete earth shadow area of the satellite low-light instrument to be calibrated and the reference instrument; selecting a matching data pair of a satellite low-light instrument to be calibrated and a reference instrument under a cross time matching condition, which allows observation under a multi-moon phase condition, from the observation data from which the low-quality data is removed; calculating lunar radiation based on a lunar phase model, performing spectrum and angle correction on the data of the reference instrument in the matched data pair, and calculating the reference radiance of the to-be-calibrated instrument with the stable target in the complete earth shadow area; and fitting observation data of the satellite low-light instrument to be calibrated in the complete earth shadow area under the multi-moon phase condition in the matched data pair and the calculated reference radiance to obtain a cross calibration coefficient so as to complete the radiation calibration of the satellite low-light instrument. According to the embodiment of the invention, the influence of the solar stray light on calibration can be effectively reduced, and the in-orbit radiation calibration precision of the low-light remote sensor is remarkably improved.

Systems and methods synchronize content of a virtual environment with a state of a physical environment. In aspects, a method includes obtaining sensor data from a network of remote sensors measuring a physical state of a location at a time; generating context specific parameter data based on the sensor data; obtaining context data from a remote virtual reality (VR) system, wherein the context data reflects a current state of virtual content in a virtual environment displayed by the remote VR system; selecting virtual content to be displayed in the virtual environment by the remote VR system based on the context specific parameter data, the context data, and rules; and sending the virtual content to the remote VR system to be displayed to a user, wherein the virtual content reflects a state of the physical location at the time.

The invention relates to a water quality remote sensing inversion method based on an interpretable hybrid physical guidance neural network (HPGNN) model. The method comprises the following steps: collecting geotagged in-situ water quality parameter concentration with global representativeness and 1nm hyperspectral remote sensing reflectivity subjected to quality assurance and radiation correction from global lakes; converting the reflectance into equivalent reflectance of a sensor wave band by utilizing a spectral response function of a remote sensor; extracting space-time matched water surface remote sensing reflectivity by utilizing GEE; defining a mixed self-defined loss function fusing data driving, regularization and physical loss; and aiming at each water quality index, developing and training an interpretable high-precision spectrogram neural network model HPGNN using the converted reflectivity and the mixed self-defined loss function. Based on global representative data, the accurate water quality evaluation method is developed by mixing the self-defined loss function, short-term and long-term space-time dynamic analysis is achieved, an effective technical means is provided for water pollution prevention and control, and the method has wide application and popularization value.

In one embodiment, an IED apparatus is described. The IED apparatus includes (a) power system equipment; (b) a first Ethernet port configured to connect to a monitoring server over one of optical fiber cable or multiple-twisted-pair copper cable (MTPCC); (c) a second Ethernet port configured to connect to a remote sensor device over a single-twisted-pair copper cable (STPCC) using the 10Base-T1S or -T1L standard; and (d) processing circuitry configured to (1) communicate monitoring data with the monitoring server over the first Ethernet port and (2) receive sensor information from the remote sensor device via the second Ethernet port over the STPCC using the 10Base-T1S or -T1L standard. A related system is also described.

The invention relates to the technical field of spaceflight optical remote sensors, and particularly discloses a calibration method and system for a secondary mirror gasket of a high-resolution space camera, and the method comprises the following steps: 1, carrying out the calibration of a secondary mirror gasket to be repaired in a state that the secondary mirror gasket to be repaired is assembled in the high-resolution space camera; obtaining a first reference point test result of a measurement plane of a secondary mirror installation and adjustment auxiliary tool connected with the secondary mirror structure; 2, when the high-resolution space camera is in the optimal wave aberration state, obtaining a second reference point test result of the measurement plane of the secondary mirror installation and adjustment auxiliary tool connected with the secondary mirror structure; 3, comparing the first reference point test result with the second reference point test result, and calculating to obtain the required grinding thickness of the secondary mirror gasket; and fourthly, the secondary mirror gasket to be repaired is corrected based on the obtained grinding thickness of the secondary mirror gasket. The method is high in calibration efficiency, high in calibration precision and wide in application scene.

A wireless sensor system for a vehicle includes a controller, a wireless transmitter in electronic communication with the controller, a sensor, and a generator device. The generator device includes a wireless receiver in wireless communication with the wireless transmitter. The generator device further includes an electric-to-mechanical transducer in electronic communication with the wireless receiver and a piezoelectric or triboelectric generator proximate to or in contact with the electric-to-mechanical transducer. The generator device further includes an energy-storage device. The energy storage device includes an input in electronic communication with the piezoelectric or triboelectric generator, and an output in electronic communication with the sensor.

A remote sensor for a vehicle includes a first retaining cup disposed on a first end of the remote sensor. The remote sensor also includes a second retaining cup disposed proximate to the first retaining cup, the second retaining cup being configured to mate with the first retaining cup. The remote sensor also includes a sensing device disposed in a hole defined by the second retaining cup, the sensing device being configured to measure at least one characteristic of the vehicle. The remote sensor also includes a flexible PCB having a first end connected to the sensing device and a second end connected or coupled to a controller of the vehicle, wherein at least a portion of the first end of the flexible PCB is retained by the first and second retaining cups.

This invention provides a three-stage sleeve-type deployable arm time-release deployment device, belonging to the technical field of variable structure space remote sensors. This three-stage sleeve-type deployable arm time-release deployment device includes a synchronous drive device, on one side of which is arranged a drive pulley mechanism, a sleeve component, a deployment and retraction component, and a time-release mechanism. The three-stage sleeve-type deployable arm time-release deployment device of this invention has a simple structure and does not present significant technical obstacles in driving, control, and manufacturing due to the increase in the length of the sleeve-type deployable arm. The drive mechanism achieves the deployment of the sleeve-type deployable arm through a pulley system, requiring only a single motor for control, making it convenient to use, highly expandable, and without limitations on the axial dimension of a single-stage sleeve-type deployable arm. Using the time-release mechanism, the sleeve-type deployable arm can be deployed stage by stage in a preset sequence, reducing the output power of the drive device and lowering the impact during deployment.