70 results about "Window detection" patented technology

The invention provides a brain-computer interface decoding method and system based on multi-modal signal fusion, and relates to the technical field of brain-computer interfaces. The method comprises the following steps: S1, acquiring a multi-mode signal, unifying a time reference and starting a sliding window detection intention; s2, de-prompting, sequential bias checking and permutation correction, artifact suppression and band-pass filtering are carried out; s3, channel and modal quality is calculated, and a reliability weight and a rejection list are generated and marked; s4, multi-scale coding is carried out, cross-modal alignment is realized through learnable time delay compensation, and a first fusion representation is obtained; s5, performing layering and cross attention fusion under reliability gating so as to align and reconstruct constraint to keep semantic consistency, and obtaining joint semantic representation; and S6, sequence-level decoding is carried out to output semantics / states / instructions. According to the method, bias and noise are suppressed, time delay difference and cross-main-body equipment change are resisted, and decoding accuracy, robustness and practicability are remarkably improved.

The invention discloses a video target tracking system and method combined with deep learning, and relates to the technical field of computer vision, and the method comprises the following steps: obtaining video frame sequence data of each monitoring device; performing segmentation processing on the time coding sequence of the video frame sequence data to obtain track fragments of corresponding monitoring equipment; and extracting a time coding subsequence of a track fragment pair formed by any two track fragments, and carrying out feature analysis on the time coding subsequence to obtain a multi-dimensional matching confidence score of each track fragment pair. According to the scheme, a shielding time window detection mechanism is introduced, shielding influences are actively recognized and quantified, the problem of time coding distortion caused by shielding in a multi-monitoring-device environment is solved, a similarity calculation result can be dynamically corrected, mismatching caused by local shielding is avoided, and the accuracy of time coding is improved by combining motion continuity constraint and a nonlinear fusion strategy. The track matching robustness in a complex shielding scene is effectively improved, and a high-confidence matching reference is provided for subsequent time axis unification.

The invention relates to the technical field of data processing, and discloses a visual large-screen dynamic display method and system based on data driving, and the method comprises the steps: collecting business scene demand data, generating a display logic configuration instruction, and setting a display content type, a spatial layout and an interaction mode; the calling data interface is connected with a background storage system and obtains service data in real time through the data stream processing module; performing time sequence analysis, sliding window detection and association rule calculation on the data to obtain a freshness index, an abnormal fluctuation parameter and a coupling degree, and judging whether abnormal fusing is triggered or not; performing exception filtering and standardization on the processed data, mapping the processed data into a graph data structure, optimizing layout through the Fresnel's law, adjusting color matching through a color contrast algorithm, and generating a chart graph; and dynamically refreshing the interface by the rendering engine. According to the method, on-demand customization and dynamic adaptation are realized, and the influence of wrong data on the accuracy of a large screen is avoided.

1. The name of the design product: door and window detection equipment. 2. The use of the design product: a detection device for detecting the fatigue performance of window hardware hinges. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model relates to the field of door and window detection, and discloses a door and window smog prevention detection sensor mounting structure, which comprises a smog machine and a connecting pipe, a handle is slidably mounted on the inner wall of the smog machine, two rollers are rotatably connected to the bottom end of the smog machine, and one end of the connecting pipe communicates with a shielding cloth. A plurality of supporting rods are fixedly installed on the inner wall of the shielding cloth and evenly distributed at the four corners of the shielding cloth, one end of each supporting rod is rotationally connected with a connecting base, the two rolling wheels are symmetrically distributed with the smoke sprayer as the axis, and one end of a connecting pipe communicates with one end of the smoke sprayer; the shielding cloth communicates with the smoke sprayer through the connecting pipe, the multiple supporting rods are installed on the inner wall of the shielding cloth and connected through the connecting base, so that the shielding cloth can be attached to the surface of the door and window conveniently, the size of the shielding cloth is adjusted through rotation of the supporting rods and the connecting base, and smoke generated by the smoke sprayer can be shielded conveniently.

This invention provides an obstacle avoidance method, system, electronic device, and storage medium for autonomous driving, belonging to the field of autonomous driving control technology. It includes: continuously performing dynamic window detection in front of the vehicle to obtain detection results; dividing the dynamic window into multiple detection areas based on vehicle driving parameters and a pre-set mapping relationship between vehicle driving parameters and detection areas; if the detection results contain obstacles, comparing the relative positional relationship between the obstacles and each detection area to obtain position comparison results; and determining the vehicle's obstacle avoidance control logic based on the position comparison results and a pre-set mapping relationship between the position comparison results and obstacle avoidance control logic for obstacle avoidance. This invention can effectively reduce the time and resource consumption of meaningless window creation, reduce the computational load on the central processing unit, improve the overall vehicle control performance such as control cycle, and increase the efficiency and experience of autonomous driving.

The application provides a door and window hardware motion simulation test system with adaptive passive following and universal adjustment function, which solves the problems of door and window detection motion constraint, and comprises a support frame, a non-powered horizontal guide rail movably installed on the support frame, and a freely-slidable sliding mounting seat installed on the non-powered horizontal guide rail; a swing driving motor for driving the non-powered horizontal guide rail to swing relative to the support frame is installed on the support frame, a rotary driving motor is carried on the sliding mounting seat, an output shaft of the rotary driving motor is connected with a handle operating clamp through a universal transmission assembly, and the universal transmission assembly allows an included angle between the axes of the rotary driving motor and the handle operating clamp while transmitting the rotary torque; when the opening and closing action of the door and window fan drives the handle to produce horizontal displacement, the sliding mounting seat passively slides on the non-powered horizontal guide rail following the displacement. The application has the advantages of good structural stability, strong compatibility and the like.

This invention belongs to the field of image processing technology and discloses a method, device, equipment, and storage medium for judging the results of COVID-19 antigen detection. By calling a camera device to acquire the detection image based on the user's shooting command input on the user interface, image recognition is performed to complete the antigen detection result acquisition, thereby enabling rapid interpretation of the detection results. Simultaneously, the detection image undergoes a qualification verification process; only after passing the verification is the antigen card area further detected. An affine transformation is performed on the antigen card area to obtain a corrected scaled image before window detection. Finally, the detected window areas are classified. This avoids capturing unqualified images from affecting subsequent recognition results, reduces the probability of false detection, achieves a coarse-to-fine detection process, and improves the accuracy of interpretation.

The embodiment of the invention provides a pop-up window processing method and device and a storage medium. In the embodiment of the invention, based on a collaborative architecture of two AI models, pop-up window processing is divided into two stages of potential pop-up window area analysis and pop-up window feature recognition, a potential pop-up window area in a screen image is analyzed by using a first AI model, and a sub-image of the potential pop-up window area is cut out from the screen image; and performing multi-dimensional feature analysis and popup window feature identification based on the sub-images by using the second AI model, positioning position information of closing options according to the multi-dimensional feature analysis and the popup window feature identification, executing popup window closing operation based on the position information, cutting out the sub-images of potential popup window areas, converting global analysis into local analysis, reducing calculation overhead of irrelevant areas, and on the basis, improving the popup window closing efficiency. Model reasoning is used for analyzing the cut sub-images, the efficiency and accuracy of pop-up window detection and closing are effectively improved, then the probability that automatic testing is interrupted due to pop-up window interference is reduced, and the testing stability and continuity are improved.

The invention provides a security detection method and device for network traffic data, and the method comprises the steps: extracting a plurality of preset network features of each traffic data packet in a target time period, and obtaining a plurality of pieces of evolution data; dividing the plurality of evolution data of the target time period into to-be-detected data of a plurality of windows by using a sliding window; processing the to-be-detected data of each window to obtain a matrix representation of the to-be-detected data; determining an approximation ratio test value distribution based on the matrix representation of the data to be detected; determining a threshold value based on the approximate ratio test value distribution and a preset false alarm probability; whether the to-be-detected data is larger than a threshold value or not is judged, and if yes, it is determined that the to-be-detected data is abnormal data; and processing the abnormal data by utilizing hash function calculation and bit operation, and judging whether the abnormal data is attack data or not according to a processing result. According to the invention, the detection efficiency and detection precision of the network traffic data are improved.

The utility model relates to the technical field of door and window detection, and discloses a building door and window air tightness detection sealing pressurization device, which comprises a detection table, an air tightness detector is fixedly arranged on one side of the upper surface of the detection table, the output end of the air tightness detector is connected with a detection pipe in a penetrating manner, and a sealing box is arranged in the middle of the upper surface of the detection table. One side of the sealing box is in through connection with a connecting pipe, the connecting pipe is in through connection with one end of the detection pipe, a detection window body is arranged above the sealing box, and one side of the upper surface of the detection table is fixedly connected with a fixing frame. According to the utility model, the mounting plate with the movable periphery is adopted to limit and push the door and window and the sealing box with the adaptive size, so that the centers of the door and window and the sealing box are aligned and the edges are attached, and the adjustable fine tuning block adapts to concave-convex surfaces of different door and window edges, thereby improving the test precision; and the spring is utilized to push the push column to bounce the sealing gasket, and the pressing plate is matched to press downwards to extrude the sealing gasket by the edge of the door and window, so that the sealing performance in the detection process is effectively improved.

The embodiment of the invention relates to the technical field of unmanned platform autonomous exploration, and provides a building space autonomous exploration method and system, and the method comprises the steps: carrying out the three-dimensional reconstruction through the image point cloud data of a building space, and obtaining a three-dimensional grid map containing a plurality of voxels; the image point cloud data comprises a visual image and radar point cloud data; performing boundary detection on the three-dimensional grid map to obtain a corresponding boundary detection result; performing door and window detection and room modeling by using the image point cloud data to obtain corresponding door and window semantic information; generating a to-be-executed target viewpoint based on a boundary detection result; selecting an optimal target viewpoint from target viewpoints to be executed by using the door and window semantic information; and performing exploration path planning based on the optimal target viewpoint to obtain a corresponding exploration trajectory, so that the unmanned platform explores the building space according to the exploration trajectory. According to the embodiment of the invention, the problem that the exploration efficiency is greatly reduced due to incomplete exploration or a backtracking phenomenon in the existing method is effectively solved.

The utility model provides a slope device for surveying and mapping mine repair engineering, which comprises a base and a transparent window arranged at the top of the base, scale marks are arranged on the outer side of the transparent window, a rear shell is fixedly arranged at the top of the base at the rear end of the transparent window, and a rolling sleeve is rotationally arranged between the transparent window and the rear shell. A pulling rope is wound on the outer side of the winding sleeve, a guiding pipe is slidably installed between the transparent window and the rear shell, and one end of the pulling rope penetrates through the interior of the guiding pipe. The winding sleeve can rotate along the rotating shaft by pulling the pulling rope, the pulling rope wound on the winding sleeve can be wound and unwound, and the guide pipe can rotate between the transparent window and the rear shell in the pulling process of the pulling rope, so that the scale line can be always located at the detection center part of the transparent window, and the detection accuracy of the transparent window is improved. Therefore, the slope angle can be better measured between the traction rope and the scale line, and the degree on the scale line is more accurate.

The invention discloses a contact window detection method and device based on dynamic density clustering decision. The method comprises the following steps: collecting multi-source physical signals, and performing weighted summation on the multi-source physical signals based on a compensation coefficient to obtain a synthetic Tsyn signal; dividing the continuous synthetic Tsyn signal into a plurality of equal-width intervals and generating a histogram; extracting a maximum count value from the histogram and multiplying the maximum count value by a signal-to-noise ratio correlation coefficient k to serve as a main density threshold value; comparing the main density threshold value with a 0.05 quantile value of the synthesized Tsyn signal, and taking the larger value as a dynamic density threshold value; extracting a section which meets a dynamic density threshold and has a duration exceeding M in the continuous synthetic Tsyn signal as a feature sequence; judging the sample number of the signal amplitude in the feature sequence, and if the sample number is not greater than 5, processing and identifying the contact section by adopting a statistical mode; and if the number of the samples is greater than 5, processing and identifying the contact segment by adopting a clustering mode. According to the invention, real-time accurate identification of the contact window can be realized.

This invention relates to a method for reconstructing existing building information models based on image target detection and unmanned aerial vehicles (UAVs), comprising the following steps: acquiring images of the four facades of a target building taken by a UAV; employing a deep learning object detection model (YOLO V9) to obtain a detection map containing window detection boxes and center point markers, window position information, and window size information; determining the correspondence between the pixel length captured in the image and the actual length; performing edge detection processing on the detection map, and combining the correspondence to obtain the boundary position information of the walls and the actual coordinates of the windows based on the walls; performing parametric modeling of the building envelope based on the boundary position information of the walls, while simultaneously acquiring the building's floor information and the floor plan layout of each floor, thus completing the reconstruction of the entire building information model. Compared with existing technologies, this invention can quickly and easily identify the position and size of the building envelope, thereby facilitating modeling, and has a certain degree of automation and low cost.

The application discloses a door and window frame rapid splicing structure quality detection method and system, relates to the door and window detection technical field, and the method comprises the following steps: obtaining initial frame structure measurement results, mechanical arm end dynamic behavior information, laser echo signal space distribution information and local temperature field information; predicting measurement result deviation distribution; calculating total measurement deviation value and measurement fluctuation range according to the measurement result deviation distribution; correcting the initial frame structure measurement results according to the total measurement deviation value to obtain target frame structure measurement results; determining a qualified judgment limit according to the measurement fluctuation range; and generating a quality detection result according to the target frame structure measurement results and the qualified judgment limit. The application can combine the deviation distribution, the measurement deviation value and the measurement fluctuation range to generate the quality detection result, so that the structure quality detection is realized, and the detection accuracy and product quality are improved.

The invention relates to the technical field of image processing, and particularly discloses a pastry quality detection device and method, and the method comprises an obtaining module which obtains and analyzes detection pastry data and pastry image data, and determines the detection image data of each detection pastry; the redundancy module is used for determining multiple view angle image data, multiple view angle-equipment image data, multiple view angle-equipment sequence data and view angle-equipment time data of each detected cake; the determination module is used for determining multiple pieces of window image data and window detection data, and determining cake detection data of each detected cake; and the detection module is used for determining visual detection data and safety detection data of the to-be-detected pastries. According to the method, the limitation that traditional detection data are dispersed and manual intervention is much can be broken through, invalid images are effectively eliminated, the problem of multi-device and multi-view data confusion is solved, an integrated quality evaluation system is formed, and key indexes are accurately controlled through targeted safety detection while high efficiency of full-dose visual detection is guaranteed.

The invention relates to a GNSS (Global Navigation Satellite System) abnormal observation data processing method. The method comprises the following steps of: acquiring satellite GNSS observation data; detecting the GNSS observation data and obtaining a detection result; detecting the GNSS observation data through a sliding window detection method so as to detect instantaneous abnormal data directly related to an observation signal; detecting the GNSS observation data through an exponential weighted moving average method so as to detect slow change abnormal data related to the state characteristics of the satellite; and performing grading processing on the GNSS observation data according to the detection result, wherein the grading processing comprises data exception marking and / or exceptional data elimination. According to the method, multi-dimensional classification detection is carried out on the GNSS observation data, data exception caused by multiple paths is detected through cross comparison of different types of data, the data judgment threshold is clear, the data is divided into two intervals, the data exception is marked or the marked exception data is removed, and the method can be applied to all test stages of satellites.

The utility model relates to the technical field of corrosion-resistant door and window detection tests, and discloses a high-pressure-resistant corrosion-resistant door and window detection test device which comprises a test box used for storing a sodium chloride solution, a base plate used for supporting a high-pressure-resistant corrosion-resistant door and window and fixedly installed at the bottom of the test box, and the inner wall of the test box is coated with a corrosion-resistant layer. According to the high-pressure-resistant corrosion-resistant door and window detection test device, when the device is used, a sodium chloride solution is put into the test box, then a door and window are put into the test box, a motor is started, the motor drives the rotating shaft to rotate, the rotating shaft drives an eccentric wheel to rotate, and the eccentric wheel drives the rotating shaft to rotate; and when the eccentric wheel is far away from the pushing block, the pushing block moves downwards to drive the door and window to move up and down under the action of gravity, so that the contact between the test liquid and the door and window can be fully ensured, and a better test effect can be realized.

The utility model discloses an overturning platform of a unit window detection system, and relates to the field of building curtain walls. The device comprises a base, a bearing platform and a lifting and overturning structure, one end of the bearing platform is hinged to one end of the base, and the lifting and overturning structure is used for driving the bearing platform to overturn and reset relative to the base; the bearing platform is used for bearing unit plates. The device is simple in structure, can simulate the actual installation state of the unit window at each angle, guarantees the real reliability of subsequent detection, can effectively solve the problem that the installation quality, design cooperation, hardware fitting installation and cooperation and the like of the unit window are difficult to detect in the production process of an existing unit type curtain wall, and improves the production efficiency. The occurrence of major safety accidents caused by falling of the opening window is reduced, the installation reliability, leakproofness and openability of the unit window are guaranteed, and the benign development of a glass curtain wall is promoted.

The present application belongs to the technical field of unmanned aerial vehicle reconnaissance, and particularly relates to a composite window reconnaissance method based on unmanned aerial vehicle suspension, wherein environment data is acquired; in combination with unmanned aerial vehicle flight state data, a building facade three-dimensional model is constructed through a point cloud processing algorithm, window position, glass type and reflection intensity are identified; based on the window position, glass type and reflection intensity, a sensing mode is dynamically switched, indoor optical images under different polarization states, object distance and contour information are acquired, features are extracted using a sparse auto-encoder algorithm, and a three-dimensional semantic map of the indoor scene is constructed; according to the three-dimensional semantic map, suspicious targets are identified in real time through a target detection algorithm, dynamic trajectories and abnormal areas are labeled, a reconnaissance priority report is generated, and the report is transmitted to a ground control center using a relay link, and a local caching mechanism is simultaneously enabled for caching. Thus, the problems of weak anti-interference ability, poor flight stability and insufficient data fusion in the prior art are solved.

The invention provides a two-dimensional *-shaped sliding window detection method and system, and belongs to the technical field of vehicle-mounted millimeter wave radar signal processing. The method comprises the following steps: firstly, carrying out boundary expansion on an input original two-dimensional data matrix to obtain an expanded data matrix; secondly, constructing a two-dimensional *-shaped sliding window taking the current detection unit as the center on the extended data matrix, and executing hybrid two-dimensional constant false alarm processing on a reference unit set in the sliding window to obtain a background clutter estimation value; then, generating a detection threshold according to the background clutter estimation value, comparing the detection threshold with the amplitude of the current detection unit, and judging a target trace point; and finally, updating the position of the current detection unit according to a preset path and repeating the steps until traversal is completed, and outputting all target trace point information. The spatial distribution of the reference unit is optimized through the design of the sliding window shaped like the Chinese character'mi ', and collaborative optimization of the detection performance and the processing efficiency is realized by combining a mixed processing mechanism of ordered statistics and unit averaging.

The invention relates to the technical field of image formation, in particular to a scanning preview display method and device and a storage medium. The method comprises the following steps: displaying a first preview image obtained by scanning a manuscript at a first resolution in a preview window; when an amplification operation on the first preview image is detected, determining an amplification factor; when the magnification is smaller than a magnification threshold value, processing the first preview image according to an image processing algorithm to obtain a second preview image, and displaying the second preview image in a preview window; when the magnification is greater than or equal to the magnification threshold, driving the scanning equipment to re-scan a partial region of the manuscript at a second resolution to obtain a third preview image, and displaying the third preview image in the preview window; and when determining operation of the user is detected, storing the preview image. According to the embodiment of the invention, secondary scanning of the corresponding area of the manuscript can be automatically triggered when the preview image displayed in the preview window is amplified to a certain magnification, a user does not need to manually set parameters such as resolution, and the user experience is improved.

The invention provides a method for displaying multiple windows in a split-screen mode. The method is applied to electronic equipment, and the electronic equipment displays a first window in a full-screen mode, detects a split-screen operation of a user on the first window, responds to the split-screen operation and displays a second window on one side of the first window so as to display the first window and the second window in a split-screen mode. According to the method for displaying the multiple windows in the split-screen mode, display of the first window is not affected while the split-screen operation is carried out, and therefore the experience feeling of a user is improved.

This application proposes a method, apparatus, and storage medium for controlling the display of message identifiers. It predicts user identifiers whose predicted click probability for clicking to eliminate a first message identifier displayed in a first scenario for a communication client is greater than a first probability threshold within future time windows. When a communication service device receives an access request from any communication client, it can directly determine the preset time window to which the access request's access time belongs, and detect whether the first user identifier contained in the access request belongs to the first predicted user identifier associated with that preset time window. Based on the detection result, when responding to the access request, it determines whether to control the display of the first message identifier in the first scenario for that communication client. This achieves selective and personalized display control of the first message identifier for the user, avoiding frequent disturbance to the first user by the first message identifier and improving the efficiency of user traffic generation for push information in the first scenario.

The invention provides a vehicle window control system testing method and a vehicle window control system testing device, and the method comprises the steps: transmitting a control instruction to a to-be-tested vehicle window control system, so as to drive a vehicle window motor in the to-be-tested vehicle window control system to operate; synchronously acquiring a current signal of the car window motor in the operation process and a digital signal output by a digital pulse channel of the car window control system to be tested; identifying the detection type of the to-be-detected vehicle window control system based on the current signal and the digital signal; according to the identified detection type, loading a corresponding test case from a preset test case library; and executing the test case, and generating a test result of the to-be-tested vehicle window control system based on test data collected in the execution process. In the mode, the vehicle window detection type can be automatically identified, and the adaptive test strategy is executed, so that the full-process automation of the vehicle window control system test is realized, the equipment cost is reduced, and the test efficiency is improved.

The invention discloses a portable high-efficiency detection device for air tightness of a door frame material, and relates to the technical field of building door and window detection. Clamping grooves are formed in the upper sides and the lower sides of the rear side walls of the abutting rods; transverse plates on the upper side and the lower side of the abutting frame are clamped in clamping grooves in the abutting rods. The limiting mechanisms are arranged in the two ends of the abutting rod in a pairwise up-down symmetry mode, and the limiting mechanisms are matched with the transverse plate of the abutting frame. The connecting mechanism is arranged between the two abutting rods and connected with the abutting rods on the two sides, the upper side and the lower side of the connecting mechanism abut against the abutting frames in a matched mode, and an abutting mechanism is arranged on the outer top wall of the abutting frame on the lower side. The anemometers are equidistantly arranged on the adjacent side walls of the two abutting rods, the lower side wall of the abutting frame on the upper side and the abutting mechanism in an adsorption mode through suction cups. An adjustable abutting frame and a multi-wind meter array are adopted to adapt to various door frames, the air tightness is rapidly detected, disassembly and assembly are convenient, and air leakage points are accurately positioned.

The utility model discloses a physical performance detection device for building energy-saving doors and windows, which relates to the technical field of door and window detection, and comprises a to-be-detected energy-saving door and window placing mechanism, a to-be-detected energy-saving door and window placing mechanism, a to-be-detected energy-saving door and window placing mechanism and a to-be-detected energy-saving door and window placing mechanism, the driving mechanism is used for driving the two groups of avoiding type clamping mechanisms to move relatively; the two groups of avoiding type clamping mechanisms are symmetrically arranged, any one group of avoiding type clamping mechanism comprises an avoiding channel formed in the top of the placing table and a movable sliding block slidably arranged at the tops of the two guide rails, and the movable sliding block is arranged at the end part of the outer side of the two-way screw rod in a sleeving manner and is in transmission connection with the two-way screw rod; an L-shaped fixing plate is fixedly arranged at the top of the movable sliding block. According to the utility model, the tested door and window cannot be blocked in the placing process of the tested door and window, so that the placing process is more flexible, the operation difficulty is reduced, the manpower is saved, and the practical use is more convenient.

The invention discloses a large language model output safety control system and a control method thereof. The system comprises a data acquisition module, a safety processing subsystem, an output control module and a reproduction and tracing data module. The data acquisition module is used for intercepting, receiving or mirroring data interacted between a user side and the main language model, and the interacted data at least comprises candidate output of user input and / or main language model output; the security processing subsystem is used for receiving the interactive data and generating a control signal and / or transformed content data based on at least one security processing strategy, and the transformed content data is security output content obtained by filtering, rewriting, replacing or abstracting candidate output; the output control module responds to the control signal and / or the transformed content data to perform at least one operation of terminating transmission, replacing / masking, outputting the transformed content data, or sending a protocol instruction including withdrawing, covering or rendering a failure mark to output a final response; and the reproduction and tracing data module records reproduction information for playback reproduction, strategy rollback or scheduling parameter updating. Preferably, the candidate outputs include streaming token window segments or interlayer vector representations, and the system supports sliding window detection and dynamic review paths to defend black box antagonism detection and achieve load balancing.