84results about How to "Solving undetectable" patented technology

The invention provides a multi-functional torque calibration device and belongs to the field of measurement and detection, torque detection and calibration, and torque testing. The device comprises a basis foundation (10) and a triangular support structure; the triangular support structure comprises a first group of vertical shafts (9), a second group of vertical shafts (3) and a third group of vertical shafts (2). The multi-functional torque calibration device integrates the detection and calibration functions of a hydraulic torque wrench, a torque multiplicator, a torque sensor, and a torductor and realizes wide-range-section, and high-precision multifunctional torque calibration and the source tracing of a standard torque wrench. The multi-functional torque calibration device has the function of a 1,000 Nm high-accuracy reference standard torquer, and can be expanded into 30 kNm reference large-torque calibration device when matched with a special tool.

The embodiment of the invention discloses a right-angle parking space detection method, a vehicle and a computer readable storage medium. The detection method comprises the following steps: generatinga bird's-eye view from an acquired shot image by using camera calibration; obtaining a contrast image according to a brightness jump rule in the aerial view and a preset parking space marking line width value; performing binarization processing on the contrast image; obtaining binarized images, carrying out line segment extraction according to Hough probability transformation to obtain a candidate line segment set; screening out all line segment pairs meeting pairwise vertical orthogonality from the candidate line segment set to obtain a set of candidate line segment pairs, and determining acorresponding marked line outer side corner set according to the position attribute of each pair of line segment pair intersection points in the candidate line segment pair set, judging whether a group of marked line outer side corner points belonging to the same parking space exist in the marked line outer side corner set or not, and if so, determining a right-angle parking space according to a preset parking space length and width value and the corresponding group of marked line outer side corner points. The right-angle parking space detection method improves the accuracy of parking space detection.

The invention discloses a driving method for a position-sensorless of a permanent magnet brushless direct current motor, is applied to the permanent magnet brushless direct current motor under a high-speed and heavy-load condition, and belongs to the field of permanent magnet brushless direct current motor controlling. By utilizing the characteristic that the current slop of a follow current phase is a monotone function, by setting a corresponding threshold value, the counter potential of the follow current phase can still be detected when zero crossing point is submerged. The driving method for the position-sensorless of the permanent magnet brushless direct current motor is matched with a traditional counter potential zero crossing point method, the application range of sensorless technology of the permanent magnet brushless direct current motor can be enlarged. A central point of a coil does not need to be connected out, the requirement for the counter potential waveform of the motor is low, and the adaptability is high.

The invention relates to the field of active three-dimensional detection and image recognition, in particular to a movable type road surface detection device and method using structured light. The detection device and method aims at solving the problems existing in the prior art. According to the detection device and method, known structured light patterns are projected in an oriented mode, and two-dimension image detection is combined, so that invasive foreign matter, flatness and damage problems can be detected rapidly. The detection method comprises the steps that through an automobile-carried detection unit and a control and processing unit, a structured light generator projects the known structured light patterns to an area, to be detected, of a road surface in the detection process; meanwhile, the road surface covered by the structured light is shot through a camera, the control and processing unit calculates nonlinearity and non-continuity of the structured light patterns by extracting the structured light patterns projected to the detected area of the road surface, thereby whether the road surface has problems about flatness or invasive objects or not is judged, and accurate detection conducted on the whole detected area is achieved accordingly.

The invention discloses a method for calibration of an optical centering device fixed to a base. The method comprises the following steps of 1, horizontally putting an apparatus needing to be detected on a stand-by base, and keeping a state that a base of the apparatus is hung at an outer side of a table edge and faces vertically to a wall surface, 2, observing an eye lens of an optical centering device of the apparatus needing to be detected so that a wall position corresponding to a crosshair is found and pasting a crosshair scoring board to the wall position, and 3, lightly turning the base of the apparatus for 180 degrees, and observing a relative position relationship of two crosshair cross points, wherein if the reticle cross point of the apparatus is in a circle drawn on the crosshair scoring board, the apparatus is qualified and if the cross point is outside the circle, a centering error exists and a correction process must be carried out. The method is fast and convenient and greatly improves a correction precision.

The invention provides a burr detection device and a method for a pole piece of a lithium battery, and comprises a first camera, a second camera, a plane mirror, and a light source. The plane mirror is inclined to correspond to the side edge of the pole piece; the first camera is arranged above the plane mirror, and can acquire burrs not parallel to the pole piece through the plane mirror; the lens of the second camera is inclined downwards by 30 degrees to 45 degrees, corresponding to the side of the pole piece; and the second camera can obtain burrs parallel to the pole piece. The light source is arranged on one side of the pole piece, and can be provided for the first camera and the second camera. In addition, the invention further relates to a burr detection method for the pole piece of the lithium battery. According to the burr detection device and the method for the pole piece of the lithium battery, the device and method can quickly obtain the image of the pole piece for the detection and the analysis for the burr; not only obtain the burrs perpendicular to the pole piece, but also can obtain the burrs parallel to the pole piece; therefore, the problem that the burrs parallel to the pole piece cannot be detected is solved; and the length of the burrs in the image can be quickly determined by the burr detection method.

The invention relates to an irregular workpiece detection method based on machine vision, and the method comprises the steps: obtaining an irregular workpiece image, carrying out the edge detection, converting the edge of the workpiece image into a polar coordinate system, employing the intersection of the polar coordinate system in the horizontal direction of different theta connecting lines as a new two-dimensional plane through Hough transformation, according to the information gain of all connecting line intersection points in the two-dimensional plane, judging the intersection points to obtain missing detection points, obtaining a missing detection area according to the missing detection points, performing bubble detection on the workpiece, if the missing detection area does not have bubbles, determining that the workpiece does not have defects, and if the missing detection area has bubbles, obtaining an edge area of the bubbles in the missing detection area; and according to the volume and position changes of all bubbles in the adjacent frames and the single-frame image are analyzed according to the marginal areas of the bubbles, determining the accurate position of the missing detection defect, so the defect position of the irregular detection workpiece is more accurately positioned based on machine vision and comprehensive analysis, the detection precision is high, and the practicability is high.

The invention discloses a method for automatically deploying a high-availability cluster of a service system based on ansible, which comprises the following steps: setting all servers of the cluster in a local area network, and setting a deployment IP (Internet Protocol) of each server, so that the server at the rear end accesses a deployment page at the front end through the deployment IPs respectively, and the server comprises four different types of network cards, the system comprises a monitoring network card, a service network card, a storage network card and a management network card, configuration information is input into the deployment page and a page deployment request is generated; the method comprises the steps that a server is selected as a deployment main node, an android script is generated according to a specified server list and corresponding information in configuration information, the deployment main node obtains a page deployment request and executes the deploymentstep of the android script according to the configuration information, and meanwhile an SSH protocol is used for sending execution commands of the same step to other servers in a cluster through a deployment IP. The deployment success rate is improved, maintenance of operation and maintenance personnel is facilitated, and the working efficiency is improved.

The invention discloses a method for detecting local rejection service vulnerabilities of dynamic Receiver components of android applications. The method comprises the following steps of: obtaining information of a dynamic Receiver component in an application through static analysis; constructing a registration function according to the information of the dynamic Receiver component, and insertingthe constructed registration function and calling of the registration function into a registration component; constructing data to start the registration component to register the dynamic Receiver component and carrying out test; and analyzing an operation log of the dynamic Receiver component to judge whether a local rejection service vulnerability exists or not. According to the method, the problem that existing detection methods only can detect exposed components in android configuration files is overcome, and local rejection service vulnerability detection can be carried out for dynamic Receiver components.

The invention discloses a pipe joint leakage detector which comprises a helium tank, a stop valve, a buffer tank, a collecting gas bag and a helium mass spectrometer leak detector, wherein an outlet of the helium tank is connected with one end of the stop valve, and the other end of the stop valve is connected with an inlet of the buffer tank; a pressure meter is connected onto the buffer tank; a pipe joint connecting mechanism is arranged at the top of the buffer tank and comprises a connecting flange, a pressing plate, a first gasket and a second gasket; the connecting flange is fixed at the top of the buffer tank; the pressing plate is arranged above the connecting flange; the second gasket is arranged on the lower end surface of the pressing plate; the first gasket is arranged on the upper end surface of the connecting flange; a pipe joint is arranged between the first gasket and the second gasket; through holes are formed in centers of the connecting flange and the first gasket; the pressing plate is fixedly connected with the connecting flange through fastening pieces; the collecting gas bag is arranged outside the possible leaking part of the pipe joint in a sleeving manner; and a suction gun of the helium mass spectrometer leak detector is communicated with the collecting gas bag. The pipe joint leakage detector can detect leakage of the pipe joint and has high detection sensitivity, accuracy and efficiency.

The invention discloses a subway brake shoe fault detection method based on three-dimensional point cloud. The method specifically comprises the following steps: acquiring three-dimensional point cloud data of a brake shoe part by using a three-dimensional industrial camera; performing down-sampling processing on the point clouds and controlling the number of the point clouds; after down-sampling, calculating the center of mass, traversing each point, calculating the distance between each point and the center of mass, and filtering out point clouds which do not belong to principal components; segmenting the brake shoe based on a deep learning pointCNN point cloud segmentation network, and judging whether the brake shoe is missing; and carrying out point cloud processing, calculating a thickness brake shoe, and judging whether wear occurs or not. According to the method, the accuracy of subway brake shoe fault detection is improved, meanwhile, the abrasion degree of the brake shoe is scientifically measured and refined, and the abrasion degree is clearly and visually expressed; and a more comprehensive guarantee is provided for the operation safety of the subway.

The invention discloses a wind farm inspection system, wherein the wind farm includes a plurality of units, the wind farm inspection system includes a control device, an inspection device and a maintenance device, and the inspection device communicates with the control device connection, for performing inspection on the inside of the unit to obtain internal inspection data, and performing inspection on the outside of each unit to obtain external inspection data, and combining the internal inspection data and the external inspection data The inspection data are respectively sent to the control device; the control device is used to generate an inspection signal after processing the internal inspection data and the external inspection data, and send the inspection signal to the inspection device; The inspection device is arranged on the inspection device and communicated with the control device, and is used for inspecting the inside and/or the outside of the unit according to the inspection signal. The wind farm inspection system provided by the invention solves the problem of failure to detect when a fault occurs inside the unit.

The invention provides a method for detecting the softness of a leather watchband, which comprises the following steps: placing a leather watchband on a horizontal surface on the top of a test platform to make a position to be measured of the leather watchband located at the edge of the test platform; pulling down the leather watchband to bend the leather watchband to a preset angle, and recordingthe pull value for pulling down the leather watchband; restoring the leather watchband to the horizontal position; and determining the softness of the leather watchband by the pull value. The problemthat the softness of a leather watchband cannot be detected at present is solved. The softness of a leather watchband can be detected reliably and the softness level of the leather watchband can be determined, so as to ensure the wearing comfort of the leather watchband.

The present invention provides a dirt detection method and device. The method comprises periodically reading a focus index FV of a camera module of a terminal, the camera module being at a photographing mode; judging if dirt exists in a camera according to the read FV values; and if yes, sending a prompt message. Through the dirt detection method and device, the problem that dirt on the camera cannot be detected in the prior art is solved, and the effects of detecting the dirt on the camera, timely reminding users and raising user experience are thus achieved.

The invention belongs to detection technology and relates to a weftless bandage tape compression cutting method. The method includes that a split positioning structure which can effectively contact with a product sample is adopted; a special clamp is designed, a tensile machine is utilized for a compression experiment of a weftless bandage tape, namely a glass fiber product after being cured and formed, the problem that inside tissue cannot be detected after rotors of airplane products are manufactured well is solved, and the rotors after being formed are ensured to meet quality requirements on the products. The clamp is safe and reliable to mount, simple to demount and convenient to assemble, angles of parts in the clamp are set to enable stressed direction to accurately ensure fiber direction of a testing sample. The clamp has a rigid connection function and meets the quality requirements on the rotors of the airplane products. The objectives of safety and reliability of the glass fiber product in the rotors are achieved, and requirements on integral quality of rotor products are met. The structure is reliable in positioning, firm in clamping and simple and convenient to operate.

The invention relates to a method for detecting vehicles in a driving dead zone based on a vehicle-mounted camera under a driving environment. The satisfactory precision degree can be obtained even under the situation that the vehicles are dense and the weather is not good. The dead zone vehicle detecting method can be widely applied to detecting the vehicles in the driving dead zone under the driving environment, analyzing analogy of pictures and the like. The requirements for the environment and devices of the method are very low, and the application occasions of the method are enlarged.

The invention discloses a Resnet-3D convolution cattle video target detection method based on balance loss. The method comprises the following steps: 1, segmenting an input original cattle video sequence into frames to obtain a frame picture data set, and labeling the frame picture data set; dividing the marked frame picture data set to obtain a training set and a test set; 2, selecting a plurality of continuous frame pictures in a sliding window manner, and sequentially obtaining a continuous frame picture sequence, thereby expanding and enhancing the data set; 3, performing classification regression and position regression on the obtained frame picture sequence through a target detection network Faster rcnn to obtain a target detection model; and 4, inputting the test video into the trained target detection model to obtain a cow detection frame and confidence thereof. According to the invention, the problem that high-density cattle cannot be detected due to shielding can be effectively solved. Meanwhile, the video is used as a test, and the video is output through the network model, so that the problem that the target is temporarily lost when the image is fused with the video can be effectively solved.

The invention relates to a device for detecting the fabric surface of an acoustic component of an automobile. According to the device, a detection platform supporting base is fixed on an installation base plate, multiple laser detection mechanisms are fixed on the upper surface of the detection platform supporting base, a portable power supply and an amplifier are arranged on the outer side of the installation base plate, the portable power supply is connected with the amplifier through a cable, and the amplifier is connected with the laser detection mechanisms through cables. By the adoption of the device, the real automobile state can be simulated, and detection of the profile of the fabric surface A of a product can be achieved. The device is simple and reasonable in structure and easy to operate. The device solves the problem that the non-detection zone (the fabric surface A) can not be detected, the non-contact detection method solves the problem of difference in detection conducted by different people, the detection device is high in precision, time spent on detection is short, and detection efficiency is high.

The invention relates to wood floor surface defect detection method based on unsupervised deep learning, which comprises the steps of 1) collecting samples, wherein the samples include non-defective product samples and defect samples, and the numbers of the non-defective product samples and the defect samples are both greater than 5000; 2) carrying out image noise preprocessing on the collected samples by adopting a Gaussian filtering mode; 3) carrying out sample expansion on the samples; 4) establishing a network model, and generating a deep learning operation library; and 5) detecting a to-be-detected product, preprocessing the to-be-detected product in the same way as the step 2), inputting the preprocessed to-be-detected product into the deep learning operation library generated in thestep 4) for judgment, and giving a judgment result of a non-defective product or a defective product. The problem that existing wood floor surface layer grain changes and the like cannot be detectedin the prior art is solved, the purpose of replacing manual detection can be achieved, effective detection of surface defects in the wood floor industry is achieved, and the industrial production quality standard is met.

The invention discloses a small detection system for quickly and automatically detecting characteristic parameters of a grooved filter rod. The system comprises: an outer frame; a first central hole and a second central hole which are located in the outer frame and are coaxially arranged, wherein a gap is reserved between the first central hole and the second central hole, the first central hole is a filter rod insertion hole to be detected; a camera installed in the second central hole, wherein the lens of the camera faces the end face of the first central hole; a cutting blade installed in the outer frame, wherein the cutting blade goes ahead in the direction parallel to the end face of the first central hole when cutting; and a control module, wherein the camera is connected into the control module, the control module comprises a processor and a storage, the storage stores computer software, and when the computer software is executed by the processor, the image collection and feature parameters are extracted. The small detection system for quickly and automatically detecting characteristic parameters of the grooved filter rod can solve the rapid and convenient major problem of quality inspection of the grooved filter rod.

The invention relates to a tube-failing preventing device for doffing tubes of a ring spinning machine. The tube-failing preventing device comprises a full tube storehouse, a right limiting plate for preventing tube-failing, a left limiting plate for preventing tube-failing, a first bracket, a second bracket, a photoelectric switch, a reflecting plate, a steel belt and a convex plate, wherein the two sides of the doffing tube outlet of the full tube storehouse are provided with the first bracket and the second bracket, the right limiting plate for preventing tube-failing is fixed on the first bracket, and the left limiting plate for preventing tube-failing is fixed on the second bracket; the right limiting plate for preventing tube-failing and the left limiting plate for preventing tube-failing are opposite to form a cop tube limiting area with the width as the same as that of the doffing tube outlet of the full tube storehouse; the photoelectric switch is fixed on the first bracket, and the reflecting plate is fixed on the second bracket; the installment positions of the photoelectric switch and the reflecting plate are opposite to form a reflecting circuit for detecting the mutual feedback of light paths, and the convex plate is fixed on the steel belt. The tube-failing preventing device for the doffing tubes of the ring spinning machine greatly reduces the steel belt and plastic part damage caused by continue walking of the steel belt after cop-tube failing, and thus reduces the maintenance cost of the collecting failing of the steel belt.

The invention relates to a bearing clearance measuring device and measuring method, and the measuring device comprises a supporting stand column, a rotating assembly is installed on the supporting stand column, the rotating assembly achieves the rotation between an installation position and a detection position through a rotation driving mechanism, and a wheel set assembly is fixed on the rotating assembly through a fixing device. A supporting piece used for supporting the gearbox in the vertical state is further installed on the rotating assembly, and an axial jacking device is installed at one end of the wheel. The device is simple in overall structure and convenient to operate, the large bearing clearance of the gear box with the wheels can be measured, the problem that the large bearing clearance cannot be detected in the assembling process of the gear box with the wheels is solved, the detection accuracy of the large bearing clearance is improved, and the running safety of a vehicle is guaranteed.