1516 results about "Close range" patented technology

The invention discloses a multi-target detection and tracking method, and relates to the technical field of computer vision and intelligent monitoring. The method comprises the following steps: acquiring multi-source video data of an unmanned aerial vehicle and a middle-high point fixed camera, and after scene adaptation preprocessing, outputting a target detection frame by using a multi-scale detection model fused with scene context; block enhanced appearance features and geometrical relationship features of the target are extracted to construct a dynamic feature library, and an initial track is generated based on a multi-stage adaptive association mechanism; through a child-mother type multi-machine collaborative optimization track, linkage control is triggered in combination with abnormal behavior analysis, and close-range evidence obtaining of the unmanned aerial vehicle and linkage of fixed equipment recording are controlled. According to the method, the multi-source data fusion capability, the multi-scale target detection precision and the trajectory association robustness in a complex scene are improved, and intelligent management and control requirements in the fields of traffic, forestry and the like can be efficiently supported.

The invention provides a real-time human body detection method and system based on a microwave radar, and is applied to the field of signal data processing. By constructing a sparse reconstruction model and combining multi-dimensional feature decomposition, the method effectively relieves the recognition difficulty caused by target signal aliasing, continuously outputs and receives radar signals, extracts distance, Doppler and angle features, constructs target distribution point clouds in a three-dimensional feature space, further utilizes angle continuity judgment and point cloud density analysis, and improves the recognition accuracy of target distribution point clouds. According to the method, the number and distribution of overlapped targets are accurately estimated, a Kalman filter is introduced for dynamic tracking for a scene in which a continuous area is not formed, continuous separation and pseudo-color image reconstruction of multiple targets are realized, and thus the resolution precision and target positioning capability of a radar in a multi-person close-range aggregation scene are remarkably improved.

The invention discloses a camera and millimeter wave radar fusion three-dimensional target detection method based on time sequence fusion, and belongs to the technical field of three-dimensional target detection of computer vision. The invention provides a time sequence modeling framework integrating a camera and a millimeter-wave radar for solving the problems that pure visual perception lacks space measurement capability and a traditional time sequence fusion strategy has limitation in the aspects of dynamic target alignment and fusion efficiency. According to the framework, firstly, clustering processing is carried out on radar point clouds, instance features are extracted, and the instance features are used as initialization input of self-adaptive query, so that the number of iterations of a decoder is effectively reduced. By introducing a time sequence transmission mechanism based on a query instance, high calculation overhead caused by global feature alignment is avoided, and the motion state and time-space characteristics of a dynamic target are captured more accurately. A local self-attention mechanism is constructed by introducing a distance penalty term, close-range matching between query instances is realized, and the spatial alignment precision and fusion effect of multi-source data are further improved.

The invention discloses a vertical rail scanning remote sensing satellite natural multi-coverage image resolution improving method and system, and relates to the field of remote sensing image processing. The method solves the problems that due to the fact that the distance between an existing vertical rail scanning imaging sensor and a ground target is increased, image pixels cover a wider ground range, the actually-measured spatial resolution is reduced, and fine detection and recognition of ships, aircrafts and the ground target cannot be supported. SIFT feature point extraction is carried out, and feature points extracted from different images are matched by using a Euclidean nearest distance matching strategy; taking one registered image as a reference, and constructing an initial high-resolution image through up-sampling; establishing an imaging degradation model from a high-resolution image to a low-resolution observation image; calculating a residual image of the simulation image and the real observation image; and back-projecting the residual error back to the high-resolution image space, and updating high-resolution image estimation.

The invention discloses a handheld integrated itinerant detector and an itinerant detection method thereof. The itinerant detector comprises a multi-source sensing unit and a magnetic attraction positioning module, the inspection method comprises the following steps: establishing a multi-dimensional calibration parameter of a target device, adsorbing on the surface of the target device based on a magnetic attraction positioning module, loading a spatial layout, and generating an environment calibration model; synchronously operating the far / close distance temperature measurement module and the vibration sensing module, and outputting multi-source fusion data; performing dynamic correlation analysis, analyzing vibration spectrum energy distribution by using a feature extraction algorithm, constructing a vibration-temperature coupling feature vector in combination with temperature gradient change, inputting a fault diagnosis result of a pre-trained fault diagnosis model, generating a visual early warning map, and feeding back the early warning map in real time through an interactive interface; according to the method, the limitation of single parameter monitoring is overcome, the detection precision is remarkably improved, and a real-time, rapid and accurate fault detection result is provided through self-adaptive switching of a temperature measurement mode and a multi-frequency-band vibration acquisition strategy.

The invention discloses a cable channel heating defect checking method based on a multi-legged inspection robot, and relates to the technical field of radiation temperature measurement, and the method comprises the steps: controlling the multi-legged inspection robot to autonomously advance in a cable channel, and collecting multi-source sensing data; constructing spatial-temporal feature representation of the cable channel based on the multi-source sensing data, and constructing a multi-modal graph neural network model to perform heating anomaly detection to obtain an initial detection result; when a suspected defect exists in the initial detection result, a multi-legged inspection robot is scheduled, a reinspection path and a detection mode are selected according to a reinforcement learning strategy, and a multi-modal graph neural network model is used for performing close-range reinspection on the position of the suspected defect; and performing fusion analysis on the initial detection result and the reinspection result, and outputting positioning information, defect type and confidence of the heating defect of the cable channel. According to the method, high-sensitivity identification of potential heating anomalies is realized, the missing report rate is remarkably reduced, the reinspection efficiency is improved, and repetition and omission are effectively avoided.

The invention discloses a graphic processing unit cooperative processing method and system for accelerating a three-dimensional generative model. The model comprises a diffusion processing stage and a Gaussian splash rendering stage. In the diffusion processing stage, the time step number and the data precision calculated by the neural network are dynamically adjusted according to the visual angle sensitivity, and a specific graphic processing unit core is scheduled for execution. In the Gaussian splash rendering stage, pixel block tasks are predicted and intelligently scheduled to a stream processor based on historical data; and in the stream processor, the processing sequence of the Gaussian ball by the rendering unit is optimized according to the geometric distance, and the close-range unit is preferentially processed. During back propagation, the built-in logic of the stream processor preaggregates the gradient contributions of the same Gaussian ball, and then updates the gradient contributions through a single write operation. Through collaborative optimization of software and hardware, the efficiency bottleneck of the 3D generation model on a graphic processing unit is effectively solved, the calculation speed, the throughput and the hardware utilization rate are remarkably improved, and the model generation time is shortened.

The invention provides a high-precision optical pose measurement method based on tower recovery, which adopts a close-range bidirectional optical cooperation mode, measures a mark point of a recovery tower through an optical detector on a rocket, and determines the distance and the pose of the rocket relative to the recovery tower; and the optical measurement system of the recovery tower synchronously detects and identifies the rocket and controls a capture arm and a buffer mechanism of the recovery tower to move, and optical measurement data of the recovery tower are fed back to the rocket and are integrated with optical measurement data on the rocket to control landing of the rocket. According to the invention, optical measurement and navigation are introduced into rocket tower type recovery, and the method has the advantages of high measurement precision, high data frequency, interference resistance and the like. The relative relation between the rocket and the recovery tower can be directly obtained through optical pose measurement, compared with inertial navigation, the coordinate conversion process can be reduced, and the advantage of no accumulated error is achieved. Compared with satellite navigation, optical pose measurement does not depend on external signals, and higher independence and electromagnetic resistance are achieved.

The embodiment of the invention discloses a cross-modal biological feature generation type enhancement method and system. The method comprises the following steps of: constructing a cross-modal biological feature recognition model, respectively acquiring long-distance modal data and short-distance modal data of a user, extracting feature vectors, pre-recognizing the user based on the long-distance feature vectors, finely recognizing the user based on the short-distance feature vectors, and carrying out mutual complementation and fusion on various modal features, so as to improve the recognition accuracy of the user. According to the method, the limitation that a single mode is low in recognition accuracy and prone to being interfered under different distance scenes is overcome, the identity recognition safety is improved, and through a secondary recognition mechanism combining pre-recognition and fine recognition, the efficiency and precision of identity recognition are improved while the system load is reduced.

The invention belongs to the field of medical care, and particularly relates to an intelligent nursing inspection auto-induction recording device and method, and the device comprises a directional RFID card reader at the entrance of a ward, an NFC activation module at the side of a sickbed, an integrated pressure-sensitive foot pad, and an adjustable installation structure. Timing is started through ward entrance identification, nurse information is recorded through close-range induction of a sickbed, and nursing operation and passing behaviors are distinguished by detecting a two-foot standing mode through a pressure-sensitive foot pad. The mounting structure comprises an L-shaped mounting plate and a sliding inner plate and is matched with the width of a sickbed; the angle adjusting component fixes the position; the intelligent pressure-sensitive foot pads are integrated at the four corners of the sickbed base, the pressure distribution sensors detect the standing mode of the two feet, nurses and temporary passing persons are distinguished, false inspection in the mode of waving for walking is avoided, substantive nursing operation of the nurses is accurately verified, and it is ensured that patients are truly and effectively nursed.

An optical arrangement for a LIDAR system includes a laser, scanner, fold mirror, lens, and sensors. Adding a wedge-shaped optical element creates an auxiliary field of view, when positioned to overlie an edge portion of the lens. The wedge-shaped optical element may have a variable transparency preventing reception by the sensors of excessive signals from close targets. The sensors may be: a plurality of sensors with unique lengths / widths, arranged to form a linear array; or sensors with the same length / width, but positioned to form an arcuate shape, compensating for an arcuate scan line; or two columns of sensors, one with a field of view in focus at far field positions, and the other in focus at near field positions, correcting for parallax effect / error; or a column of highly sensitive sensors surrounded by a plurality of guard rail sensors having higher immunity to damage from stray laser light.

The invention belongs to the technical field of closed cooling towers, and discloses a countercurrent closed cooling tower and a cooling method.The countercurrent closed cooling tower comprises a tower body, a draught fan is fixedly connected to the top of the tower body, an air inlet is formed in the side wall of the bottom of the tower body, a water collecting tank is formed in the bottom of the tower body, and a pair of coil pipes is fixedly connected to the middle of the tower body; through cooperation of structures such as an annular shell, an annular spraying pipe and a concave panel, the possibility that scale is generated by the coil pipe is reduced, the heat exchange effect can be improved, during heat exchange, water in a collecting groove of the annular spraying pipe moving in a reciprocating mode is pumped and pressurized, the surface of the coil pipe is scoured in an annular mode, and the scale forming risk is reduced; and meanwhile, the sliding columns continuously extrude the wave-shaped grooves, so that the whole annular shell rotates in a reciprocating mode, close-distance washing can be more uniform, and therefore the heat exchange effect and durability of the coil pipe are efficiently improved.

Photometric stereo techniques enable using a single camera to perform an enrollment process for creating a user-specific anatomical model of an eye for gaze tracking. The user-specific anatomical model includes information about a user's center of vision at multiple dilation states of the eye, which can be used to enhance the accuracy of gaze tracking techniques. Accurate gaze tracking techniques enable the use of gaze tracking at close range, for example, gaze tracking within a head-mounted display device.

According to one embodiment, a method, computer system, and computer program product for performing a close-range inspection on a façade is provided. The present invention may include conducting a close-range inspection of inspection sites using a camera-equipped drone, wherein the close-range inspection comprises a close visual inspection and a tactile assessment; determining, by the visual AI engine, a visual building quality of the façade at the inspection sites based on images from the close visual assessment of the inspection sites; determining, by the acoustic AI engine, an acoustic building quality of the façade at the inspection sites based on impact sounds from the tactile assessment of the inspection sites; generating a digital representation of the façade based on the visual building quality and the acoustic building quality.

To provide a zoo lens which has a large aperture ratio and a minimized total length, offers less shift in the center of gravity while zooming and focusing and quiet autofocusing, and is suitable for video shooting.SOLUTION: A zoom lens of the present invention consists of a first lens group G1 having negative refractive power, an intermediate lens group GM having positive refractive power as a whole, a rear lens group GR, and a final lens group GN arranged in order from the object side, the intermediate lens group GM consisting of three or more lens groups including a focusing lens group configured to move along an optical axis while focusing from infinity to a short distance, and the rear lens group consisting of one or more lens groups. When zooming from the wide-angle end to the telephoto end, distances between the lens groups change as the intermediate lens group GM moves toward the object side, increasing the distance between the intermediate lens group GM and the rear lens group GR. The first lens group G1 and the final lens gup GN are stationary while zooming and focusing.SELECTED DRAWING: Figure 1

The invention discloses an automatic spraying method for a tunnel roadway concrete support in the technical field of concrete support spraying, which comprises the following steps of: controlling a traveling chassis, a pumping mechanism, an arm support mechanism and an environment scanning mechanism through a traveling computer to realize automatic spraying of the concrete support of an excavation surface in a tunnel; a worker does not need to enter a tunnel to control the concrete wet spraying machine in a close range, threats of the severe environment to the health of the worker and potential safety hazards are thoroughly avoided, various parameters during concrete support spraying are adjusted according to the actual situation of an excavation face, and therefore the spraying process of concrete support is accurately controlled, and the construction efficiency is improved. The forming quality of the final concrete support is improved, reworking caused by manual errors is reduced, meanwhile, continuous operation without intermittency can be achieved, and the construction efficiency is improved.

The invention discloses a focusing detection method, system and device and a medium. The detection method comprises the following steps: constructing a first mapping model among the real-time focal length of a zoom lens, the temperature of the zoom lens and the control voltage; constructing a second mapping model between the target focal length of the zoom lens and the light spot centroid offset and between the target focal length of the zoom lens and the current focal length of the zoom lens; acquiring a light spot image fed back by the surface of the to-be-measured object, and calculating to obtain a corresponding light spot centroid offset; acquiring the light spot centroid offset corresponding to the object to be measured, the current focal length of the zoom lens and the second mapping model to calculate the target focal length of the zoom lens; and obtaining the target focal length of the zoom lens, the current temperature of the zoom lens and the first mapping model to calculate the target voltage. Light spot image detection and zoom lens accurate voltage control are combined, actual errors caused by laser ranging during close-range imaging are effectively avoided, the image detection advantage of the image sensor is fully utilized, and the effect is more obvious especially during close-range detection.

The invention discloses a light spot adjustable laser telemetering light machine system, and relates to the technical field of light spot adjustment. The light spot adjustable type laser telemetering light machine system comprises a laser emitting unit used for emitting laser beams, and a detection light lens adjusting unit used for receiving the laser beams emitted by the laser emitting unit and performing form control; the receiving lens is used for receiving an optical signal returned by telemetering after the laser beam subjected to form control by the detection light lens adjusting unit reaches a target, and focusing the optical signal; the detection unit is used for converting an optical signal focused by the receiving lens into an electric signal; the signal processing unit is used for receiving the electric signal output by the detection unit and analyzing and generating a regulation and control instruction, and the signal processing unit is used for intelligently regulating and controlling the laser emission unit, the detection light lens adjusting unit and the micro-displacement adjusting platform, so that the focal length is automatically adjusted, and the size of a light spot is further controlled; and the detection requirements of far and near distances are met, and the signal quality of the optical machine is automatically adjusted to be optimal.

The invention discloses a high-sensitivity flexible tactile sensor, a preparation method thereof and an intelligent robot with a body, and the high-sensitivity flexible tactile sensor comprises a flexible chamber substrate, an anti-corrosion protection ring, a flexible cover film, a sensing material layer and a plurality of projection structures. According to the high-sensitivity flexible tactile sensor, due to the innovative design of the flexible sealing cavity substrate, the flexible cover film and the protruding structure, the flexible tactile sensor shows high sensitivity and low detection limit. Meanwhile, through the arrangement of the convex structure, the close-range sensing performance of the flexible sensor and an interaction object is improved, the micro-deformation capability of the sensor is enhanced through the multi-layer deformation of the convex structure, the flexible cover film and the cavity, and the sensitivity of the sensor is further improved.

The invention relates to the technical field of visual inspection, and discloses an industrial product online visual inspection method based on cloud collaboration, which ensures data authenticity through edge side close-range acquisition of images, meets the real-time detection rhythm of a production line through a lightweight model, and quickly screens out most clearly qualified or unqualified samples. And for subsequent cloud collaboratively reducing invalid data transmission, the edge side single-frame image detection time is less than or equal to 30ms, the high-speed production line beat requirement is met, 80%-90% of clear samples are preliminarily screened out, burden is reduced for the cloud, and bandwidth congestion caused by total data transmission is avoided.

The invention discloses a short-distance multi-ore-bed potassic salt ore large-section long-strip comprehensive mechanized mining method, and belongs to the technical field of potassic salt ore deposit mining. The method comprises the steps that a centralized transportation roadway is arranged on an upper head mining layer, an auxiliary transportation roadway is arranged in a stable salt rock interlayer between ore layers, and combined development is achieved; arranging large-section long strip chambers in the ore blocks along the inclination direction, and reserving permanent spacing strip pillars to maintain the stope to be stable; a chamber is cut and formed at a time by a double-arm large-mining-height mining machine, and efficient stoping is realized by matching with a continuous transportation system; multiple ore beds are mined in a coordinated mode from top to bottom in sequence, and the ore block air return way and the ore block air return way of the upper ore bed are staggered by 20 m or above so as to avoid stress superposition; a full-air-pressure ventilation system combining a press-in type and a draw-out type is constructed; natural supporting is achieved through permanent spacing strip pillars and natural top and bottom plates, safety is guaranteed through a micro-seismic and top plate monitoring system, and the goaf is backfilled with tail salt slurry to achieve green mining. According to the method, safe, efficient and high-recovery-rate mining of the short-distance multi-ore-bed sylvite ore is achieved.

The invention discloses a port avionics hub digital twin multi-level simulation model construction and visualization method, which comprises the following steps: obtaining a multi-view RGB image of a target port area, obtaining a camera attitude of each view by using an SfM algorithm, and reconstructing a sparse three-dimensional point cloud; constructing an LOD2 shell model with a semantic mark; an LLO3 model with holes is constructed; the LOD0-LOD3 model is serialized into a glTF 2.0 binary format and transmitted to a client side through HTTP / 2, the client side calls WebGL 2.0 through a browser to complete decompression, uploading and PBR rendering, and interactive plug-in-free visualization is achieved; constructing an eight-fork-two-fork-four-fork mixed spatial index, and performing multi-stage division and persistence on the LOD < 0 >-LOD < 3 > tiles, so that a client locates visible tiles within constant time based on node numbers; visual cone cutting and screen space error judgment are adopted to execute progressive loading on visible tiles, LOD0 is loaded at first, then LOD1-LOD3 is subjected to incremental superposition, low-level tiles in the same area are replaced with the LOD3 in a cross fading mode at the ultra-close distance (the Euclidean distance d from the center of a camera to the center of a target tile is smaller than or equal to 100 m), and smooth visual experience is obtained in a browser.

The utility model provides inner cylinder equipment for combined fireworks, which relates to the technical field of firework production equipment and comprises a plurality of bins and a feeding component. Wherein the plurality of stock bins are distributed at a plurality of different positions; the stock bin is provided with a trough for accommodating the inner cylinder, and is provided with a feeding hole and a blanking hole; the feeding assembly comprises a gripper and an action mechanism. And the action mechanism can drive the gripper to move so as to grab an inner cylinder cake, and can transfer the inner cylinder to any stock bin for blanking. On one hand, different types of inner barrels can be contained in the multiple stock bins, the inner barrels in all the stock bins can be flexibly configured, and the production flexibility is good; and on the other hand, the inner barrels can be conveyed to all the stock bins after inner barrel cakes are grabbed through the feeding assembly, automatic feeding can be conducted on all the stock bins, the automation degree is high, manual close-distance cake breaking feeding is not needed, and safety is higher. In addition, the plurality of stock bins are distributed at different positions, so that the harm of accidents is smaller.

The invention relates to the technical field of panoramic images, and discloses a self-correcting panoramic image splicing method for a vehicle around view system, which comprises the following steps: acquiring dynamic data of a vehicle to obtain an environment characteristic dynamic state, establishing a space-time incidence matrix according to the environment characteristic dynamic state, adjusting a fuzzy kernel estimation parameter, and performing accurate estimation and multi-frame super-resolution reconstruction of motion blur; fusing dynamic data, defining a vehicle attitude feature matrix, dynamically correcting vehicle attitude and camera external parameters, unifying cross-camera colors, performing ground constraint, constructing a multi-objective optimization framework, and balancing splicing quality and real-time performance; through monocular depth estimation and geometric constraint, the perspective difference of a close-range object is optimized, and through an edge retention loss function, the depth precision at the boundary of the object is enhanced; monocular depth estimation is optimized through binocular parallax constraint; constructing a multi-scale feature fusion network, and recovering image details; a factor graph model is constructed to integrate historical data, and accumulative errors of long-time-sequence splicing are eliminated.

The invention discloses a multi-link collaborative wireless communication battery management system, and relates to the field of wireless communication networks. The system comprises a battery data acquisition module, a multi-link communication module, an intelligent control module, an energy management module and a cloud management platform. And the battery data acquisition module is electrically connected to the battery module. A scene recognition rule base is pre-stored in the heterogeneous link scheduling unit, a scene type is matched according to real-time environment sensor data, then a corresponding link combination is started, Bluetooth 5.0 and ZigBee 3.0 links are started in an indoor close-range scene, and the data acquisition requirements of low power consumption, short distance and high frequency are met; in a remote monitoring scene, the main 4G / 5G cellular link is used for transmitting state data, the standby Wi-Fi link is used for transmitting large-capacity data, the advantages of all the links are brought into full play, and the utilization efficiency of spectrum resources is improved.

The invention belongs to the field of visual impairment assistance, and particularly relates to a visual impairment person perception guide interaction control system and method, and the system comprises a multi-source sensor module, an information processing and analysis unit, an interaction feedback module, an intelligent Internet of Things module, and a user preference and scene self-adaption module. According to the visual impaired person perception guide interaction control system and method, through a multi-source sensor fusion technology, the limitation of a single sensor is effectively overcome. The high-definition imaging and low-light enhancement capability of the visual sensor, the close-range precise detection of the ultrasonic sensor, the stable motion monitoring of the inertial measurement unit and the high-precision positioning of the global navigation satellite system cooperate with one another, so that the comprehensive and precise sensing of the environment is realized, and the system is convenient to adapt to different environments. The accuracy of obstacle detection, target recognition and positioning is greatly improved, a solid and reliable environment cognition basis is provided for visually impaired people, and the visually impaired people can more accurately know the surrounding environment condition.

The invention belongs to the technical field of automatic driving, and particularly relates to an automatic driving decision-making method and device fusing lane dynamic evaluation and safety indexes and a medium. Real-time collision risks are calculated by collecting dynamic data of a vehicle and surrounding vehicles, multi-lane traffic flow data are collected under triggering of specific requirements, and characteristics such as density, speed and flow are extracted; and a lane basic passage score is calculated by fusing the flow and the large vehicle influence, and correction is carried out by combining the lane changing intention of surrounding vehicles to obtain a dynamic lane evaluation result. And constructing a multi-objective decision function based on the safety index and the lane evaluation result, and finally generating and selecting a trajectory with the minimum comprehensive cost value in a decision period for execution. According to the invention, collaborative evaluation of the vehicle close-range safety risk and the lane passing potential is realized, and the lane evaluation can reflect the traffic flow interaction influence. The driving efficiency and the lane adaptability are optimized, and the decision-making ability of the automatic driving system in the traffic environment is improved.

The invention relates to the technical field of false tooth production, and discloses a disinfection and sterilization device for false tooth production, the disinfection and sterilization device comprises a shell, a door body, ultraviolet lamps and a grid, basic irradiation is performed through the ultraviolet lamp I and the ultraviolet lamp II, an air cylinder is driven to move transversely through an electric push rod, and meshing of a gear and a rack is combined; a first reflecting block and a second reflecting block are driven to penetrate through a grid to jack up the false teeth through inclined surface transmission of a pushing block and a driven plate by a jacking component, and a reflecting plate is matched to reflect ultraviolet rays, so that bottom shielding dead angles are eliminated, and multi-directional disinfection of the false teeth is realized; the method is suitable for batch production, and the sterilization efficiency and the quality stability are improved.

The invention relates to the technical field of coal mine ventilation safety, and discloses a coal mine ventilation tunnel monitoring method and device, electronic equipment and a storage medium. According to the method, real-time airflow parameters and dust concentration data of a ventilation roadway are collected through a distributed sensor array, and an original monitoring data set is formed. And carrying out multi-dimensional feature extraction on the data set to obtain a comprehensive feature set containing an airflow velocity fluctuation feature, a dust distribution gradient feature and a temperature change trend feature. And constructing a ventilation tunnel three-dimensional dynamic model based on the comprehensive feature set, and mapping airflow and dust data to model space coordinates. And generating a ventilation resistance coefficient matrix according to the model, performing mode matching in combination with a historical blockage case library, and identifying coordinates of a potential blockage area. And starting the mobile verification device to carry out close-range scanning on the potential area to obtain high-precision point cloud data and infrared thermal imaging data. According to the invention, the intelligent level and emergency response capability of coal mine ventilation safety management can be improved.

The invention relates to the technical field of automobile testing, and discloses a method and system for evaluating and testing visual field glare of a driver in a cabin, and the method comprises the following steps: starting from the position of the eyes of the driver, capturing a brightness distribution image of the whole visual field, and dividing the image into a plurality of sub light source regions around a glare source; dividing the visual field into a main sight area and a residual light sight area according to the attention distribution of the driver, and endowing sub light source areas falling into different areas with different weight values; calculating a unified glare index according to the weighted sum of the glare intensity of each sub light source area and the background brightness in the cabin; and finally, comparing the index with a preset threshold value, and outputting an evaluation result. According to the method, the large-area light source is divided into the sub-light sources, weighted calculation is carried out in combination with the attention of the driver, the problem that a traditional glare evaluation model is not suitable for a close-range non-point light source scene of the automobile cabin is solved, a scientific evaluation system matched with the automobile cabin is established, and the glare evaluation result is more accurate.