18 results about "Atmospheric visibility" patented technology

The invention discloses an atmospheric visibility detection method and device based on a multi-modal model, and relates to the technical field of artificial intelligence, and the detection method comprises the steps: obtaining image data and meteorological data; generating a preset question based on the image data and the meteorological data; and inputting a preset question into the target multi-modal model, outputting reply information for the preset question, and determining the atmospheric visibility of the position where the target device is located based on the reply information. According to the invention, the technical problem of low accuracy of atmospheric visibility detection in the prior art is solved.

The application discloses an atmospheric visibility prediction method considering cloud droplet concentration, wherein when a physical relation model in fog is constructed, the influence of cloud droplet concentration on visibility under different pollution conditions is additionally considered, and a diagnostic calculation formula of the visibility is derived; after reasonable cloud droplet concentration values are set, the formula is applied to main numerical prediction products such as GFS, ECMWF, CMA-MESO, etc., and is substituted into basic meteorological quantities, so that the diagnostic prediction result of the visibility can be obtained. The method is suitable for the visibility prediction under different pollution conditions, has very fast calculation speed, does not additionally occupy storage, does not need a large number of sample training, and has strong expansibility, thereby providing theoretical and technical support for the development of fine prediction and early warning technology of fog.

The invention discloses a low-altitude target intelligent identification method and system based on large model fusion, and relates to the field of image identification, and the method comprises a capturing module which is used for shooting preset multi-spectral image data of an airplane takeoff and landing low-altitude flight region, and synchronously capturing the environment illumination, atmospheric visibility and fog concentration parameters of the airplane takeoff and landing low-altitude flight region; the preprocessing module is used for receiving the multispectral image and the environmental parameters shot and captured by the capturing module, and forwarding the multispectral image and the environmental parameters to the extraction module after performing registration fusion and adaptive denoising enhancement processing; the method combines multispectral image accurate registration fusion and adaptive denoising enhancement, effectively improves the image quality in a complex environment, deeply excavates and strengthens target key features and improves the feature discrimination by means of double-attention fusion and multi-scale feature level interaction, and improves the image quality through multi-dimensional feature matching and accurate coordinate solution reasoning. And target category rapid identification and space coordinate accurate locking are realized.

This invention discloses a visibility estimation method and apparatus based on binocular vision. The method includes: simultaneously acquiring left and right views using a calibrated binocular camera; inputting the image pairs into a stereo matching deep neural network to obtain a disparity map and converting it into a depth map; inputting the left view and depth map into a dual-branch deep convolutional neural network to extract multi-scale features; fusing RGB features and depth features through a cross-modal feature fusion module; and finally outputting a visibility estimate through a feature aggregation and regression module. The apparatus includes a binocular image acquisition unit, a data processing and visibility estimation unit, and a result output unit. This invention solves the depth ambiguity problem of monocular vision by fusing binocular depth information and image appearance information, achieving high-precision, non-contact visibility surface measurement. It has the advantages of low cost and flexible deployment, and is suitable for visibility monitoring in traffic scenarios such as highways.

The utility model relates to the technical field of visibility meters, in particular to an atmospheric visibility meter with insect-preventing and bird-repelling functions, which comprises a device body, the device body comprises a support frame, and a detector is arranged on the surface of the support frame; an assembly structure is arranged on the surface of the back of the detector, the assembly structure comprises a rubber pad, and the outer wall of the rubber pad is sleeved with a positioning frame. The positioning frame is connected to the outer surface of the fixing screw in a sleeved mode, then the positioning frame is connected to the outer wall of the supporting frame in a sleeved mode, one end of the limiting screw penetrates through the through groove formed in the positioning frame to be rotationally connected into the threaded groove formed in the supporting frame, and the positioning frame and the supporting frame are connected. And then the nut is rotationally connected to the outer surface of one end of the limiting screw rod, so that the positioning frame is limited, the effect of quickly assembling the supporting frame and the detector is achieved, and the problem that independent maintenance cannot be conducted due to the fact that the supporting frame and the detector cannot be disassembled is solved.

The present application relates to the technical field of atmospheric visibility detection, and more particularly to a self-correcting visibility measurement method based on visual-scattering spectrum dual-mode fusion, dual-mode data synchronous acquisition and preprocessing; visual-based scene classification; scattering spectrum-based visibility inversion; dual-mode dynamic gating fusion distributed model continuous optimization based on cloud-edge collaborative architecture. The present application can improve the accuracy of atmospheric visibility detection through inversion operation, and can also improve the explainability of model behavior and the compliance with physical laws by introducing physical priors; through fusion operation, visual information and scattering spectrum information are deeply and dynamically interacted and fused within the model, fully utilizing the macro scene understanding ability of vision and the microscopic physical detection ability of scattering spectrum to overcome the limitations of single sensor and improve the accuracy of atmospheric visibility detection.

This invention discloses a method and device for monitoring patchy fog based on a visible light image sensor and a point laser, belonging to the field of atmospheric visibility monitoring technology. The device includes a linearly calibrated visible light image sensor, a point laser emitter mounted parallel to the sensor's optical axis, and a synchronization control and data processing unit. The core of the method lies in: synchronously controlling and alternately acquiring image pairs of the laser being on and off, performing differential analysis to eliminate background interference, and obtaining a pure laser atmospheric scattering signal; integrating along the laser spot normal direction to obtain an initial brightness profile curve; based on the fixed spatial pose relationship between the sensor and the laser, mapping the brightness curve in image coordinates to a corrected brightness curve in real spatial distance coordinates through a geometric correction model; calculating the mean and variance of the corrected brightness curve, and calibrating it using standard instruments; and finally simultaneously obtaining the average path visibility value and the patchy fog intensity index. This invention is low-cost, has strong anti-interference capabilities, and can effectively achieve quantitative identification and spatial positioning of patchy fog, making it suitable for large-scale deployment in scenarios such as highways.

The application discloses a method for obtaining SO2 concentration image based on calibration coefficient and light dilution effect correction. The application comprises the following steps: collecting sky background and plume signal image by SO2 ultraviolet camera system, and calculating SO2 optical thickness; determining self-calibration coefficient by using sky background image, and converting optical thickness image into concentration image; and performing light dilution correction by combining distance and visibility information measured by distance measuring instrument and atmospheric visibility measuring instrument, so as to realize accurate inversion of SO2 concentration. Compared with the prior art, the application solves the defects that SO2 ultraviolet camera must rely on external equipment calibration and measurement error increases with the increase of detection distance. The application does not need additional calibration equipment, and self-calibration coefficient is combined with light dilution effect correction to obtain accurate SO2 concentration image. The application has the advantages of simple structure, convenient operation, high calibration precision and good real-time performance.

The invention relates to the technical field of animal protection, and discloses a wild animal early-warning protection method based on migration data analysis, and the method comprises the following steps: 1, collecting the motion data of a target animal; 2, judging a high-energy intrusion risk and sending a wake-up signal; 3, extracting an atmospheric visibility factor and a rainfall interference factor; step 4, adaptively modulating output parameters according to the atmospheric visibility factor and the rainfall interference factor; 5, early warning intervention: constructing a multi-dimensional biological stress index, and guiding the target animal to migrate; and step 6, calling data to carry out iterative correction on the braking capability coefficient. According to the method, the dynamic trigger radius containing the physical inertia impulse and the motion trend compensation is calculated in real time through the projection component and the acceleration module value of the ground velocity vector in the boundary normal direction, so that the warning range can be dynamically adjusted according to the running speed and the acceleration trend of the animal; and the interception success rate of the sudden intrusion behavior is improved.

The invention relates to the technical field of atmospheric visibility detection, in particular to a self-correcting visibility measurement method based on vision-scattering spectrum bimodal fusion, which comprises the following steps of: synchronously acquiring and preprocessing bimodal data; performing scene classification based on vision; performing visibility inversion based on a scattering spectrum; and bimodal dynamic gating fusion is continuously optimized based on a distributed model of a cloud-edge collaborative architecture. According to the method, the accuracy of atmospheric visibility detection can be improved through inversion operation, and the interpretability of model behaviors and the following of physical laws can be improved by introducing physical priori; visual information and scattering spectrum information are subjected to deep and dynamic interactive fusion in the model through fusion operation, and the macroscopic scene understanding capability of vision and the microscopic physical detection capability of a scattering spectrum are fully utilized, so that the limitation of a single sensor is overcome, and the accuracy of atmospheric visibility detection is improved.

In order to solve the problem of insufficient evaluation ability of existing war game system or method for laser countermeasure against low, slow and small target, the present application provides a kind of laser countermeasure war game system and method.The laser countermeasure war game system is arranged for round war game simulation strategy, which includes: deduction map, which is used to deduce the environment scene of training or actual combat of laser system countermeasure against low, slow and small target, and the deduction map contains atmospheric visibility mark, deduction round record track and atmospheric turbulence record track corresponding to each deduction round; deduction operator, which is used to simulate the strength, equipment and countermeasure state of different countermeasure units in laser system countermeasure against low, slow and small target, including strength unit operator, equipment operator and mark operator, and the strength unit operator contains laser system unit.The present application highlights the particularity of war game in new laser countermeasure style and the difference from traditional direct fire countermeasure deduction through the above-mentioned war game system and corresponding war game method.

The invention discloses an atmospheric visibility prediction method considering cloud drop number concentration, which comprises the following steps of: when a physical relationship model in fog is constructed, additionally considering the influence of the cloud drop number concentration on visibility under different pollution conditions, and deducing a visibility diagnosis calculation formula; after a reasonable cloud drop number concentration value is set, the formula is applied to mainstream numerical forecasting products such as GFS, ECMWF, CMA-MESO and the like, and a visibility diagnosis forecasting result can be obtained by substituting the basic meteorological quantity into the mainstream numerical forecasting products. The method is suitable for visibility forecasting under different pollution conditions, is high in calculation speed, does not occupy extra storage, does not need a large amount of sample training, is high in expansibility, and provides theoretical and technical support for the development of a fine forecasting and early warning technology of fog.

The invention discloses an atmospheric visibility detection method and device, electronic equipment and a program product, and relates to the technical field of artificial intelligence, and the detection method comprises the steps: collecting meteorological data of meteorological equipment installed on a target communication device and image data of camera equipment; preprocessing the meteorological data and the image data to obtain a processed data set; and inputting the processed data set into a target visibility prediction model to obtain an atmospheric visibility value of the position where the target communication device is located, the target visibility prediction model being obtained by screening a plurality of preset visibility prediction models. According to the invention, the technical problem of low accuracy of atmospheric visibility detection in the prior art is solved.

The invention discloses an unmanned aerial vehicle dynamic target detection method in extreme weather based on deep learning. The method comprises the following steps: S1, collecting a video stream and atmospheric visibility to construct a continuous frame image sequence; s2, inputting a physical perception segmentation network based on SegFormer to generate a space-time attention mask; s3, performing weighted suppression on the original image features by using the mask, and outputting an enhanced feature image set; s4, inputting an improved SwinTransformerV2 model, and extracting target depth time sequence semantic features through space-time dual coding and an environment perception adaptive position coding mechanism; s5, calculating a spatial uncertainty score by using a Bayesian algorithm, calibrating confidence, and screening high-confidence features; and S6, performing multi-frame matching and track correction, and labeling a target bounding box and a motion track in real time. According to the invention, meteorological interference noise is effectively filtered out, the target sensing capability under low visibility is improved, and the robustness and accuracy of detection under a complex environment are ensured.

The invention discloses a transmissivity rapid valuation model based on atmospheric visibility, belongs to intelligent mobile terminal image sharpening processing content in the technical field of machine vision, and particularly relates to an image sharpening processing technology that an intelligent video image terminal arranged on a mobile device is in a moving state in a rain and fog environment. According to one content of the technology, the atmospheric transmissivity of an image sharpening processing model is required to be rapidly estimated, and a sharpening processing flow based on an atmospheric transmissivity rapid estimation model is constructed, so that the sharpening processing model can be applied to a mobile device carrying a video processing terminal in real time. The provided atmospheric transmissivity rapid valuation algorithm model is simple in form, simple in process, low in calculation complexity, good in real-time performance and good in image sharpening processing effect, and is not only suitable for vehicle traffic application scenes, but also suitable for vehicle traffic application scenes. And the method can also be applied to video image sharpening processing scenes of intelligent mobile terminals configured by ships, industrial intelligent trolleys, port loading and unloading vehicles, scenic spot tourist buses, airport passenger transfer vehicles, unmanned aerial vehicles, military mobile equipment and the like in a rain and fog environment.

The invention discloses an aerosol liquid water content inversion method and system. By coupling the Mie scattering theory and the immune evolution algorithm, the accurate inversion of the moisture absorption growth factor of the aerosol particle size is realized by utilizing hourly observation data of a turbidimeter, a black carbon instrument and an environmental particulate matter analyzer and simultaneous secondary atmospheric visibility, relative humidity and nitrogen dioxide monitoring data; and then an aerosol liquid water content calculation model with clear physical significance is established. The method effectively overcomes the limitations that a traditional thermodynamic model ignores organic components, a chemical component method is limited in applicability and an instrument direct measurement method is high in cost, complex in operation and the like, and has the outstanding advantages of being rigorous in theoretical basis, high in universality, low in parameter sensitivity and the like. The implementation of the invention provides a reliable technical means for the research on the moisture absorption characteristic of the aerosol in the haze weather process, and lays a foundation for the subsequent in-depth research of the aerosol moisture absorption haze-causing mechanism.

The utility model relates to the technical field of photovoltaic panel maintenance, in particular to a photovoltaic module surface cleanliness real-time detection system which comprises a detection supporting column, an atmospheric visibility detection device and a detection supporting rod which are arranged in a photovoltaic station, and the atmospheric visibility detection device is installed at the high position of the photovoltaic station through the detection supporting column. The air visibility of the photovoltaic station is detected, so that the accumulation amount of dust on the photovoltaic panel is determined according to the air visibility, manual field inspection is avoided, and the operation intensity is reduced; meanwhile, all-weather real-time detection can be achieved, it is guaranteed that detection is timely and reliable while the working efficiency is improved, and the actual detection requirement is met; and the overall structure is simple, low in cost and small in size, and does not cause obvious influence on power generation of the photovoltaic panel.

The utility model discloses a simulation device for a laser atmospheric transmission attenuation effect. The simulation device comprises a rain and fog generation and control module (1), optical glass (2), an optical channel (3), a measuring instrument (4), a leveling device (5), an observation window (6) and an alarm (7), two optical channels (3) are symmetrically arranged on the left side wall and the right side wall of the rain and fog generation and control module (1), and optical glass (2) is arranged at ports of the optical channels (3). An observation window (6) is formed in the front side wall of the rain and fog generation and control module (1), an alarm (7) is arranged at the top, and a leveling assembly (5) is arranged at the bottom; a laser is arranged outside the left optical glass (2), and a measuring instrument (4) is arranged outside the right optical glass (2). The device can simulate different atmospheric visibility environments in a laboratory, can quantitatively adjust the visibility in the device, and is used for researching the transmission attenuation of laser in the atmospheric environments with different visibility.