2904results about How to "Improve detection efficiency" patented technology

The invention relates to the technical field of visual inspection, in particular to a stamping part defect detection method based on vision, which comprises the following steps: S1, shooting setting; s2, synchronizing video streams; s3, acquiring a part bounding box and a hole position bounding box; s4, associating part bounding boxes belonging to the same stamping part among the frame part images, and associating hole position bounding boxes belonging to the same screw hole position; s5, correspondingly associating the bounding boxes of the target parts belonging to the same stamping part in the part image; s6, when a hole position boundary frame matched with the view angle template image of the corresponding view angle exists in any target detection image under any view angle, determining that a screw hole position exists; and when the matched hole position boundary frame is not found in the target detection image under the corresponding visual angle in the visual angle template images of all the visual angles, the screw hole position is missing. The stamping part defect detection device can be used for defect detection of stamping parts in the conveying process, the consistency of detection results is improved, and the detection efficiency is improved.

The invention belongs to the technical field of medical image processing, and particularly relates to a linear Transform general focus recognition method based on multiple perception and context guidance, and the method comprises the steps: extracting the multi-scale features of a medical CT image through a backbone network, obtaining the edge gradient features in parallel, making up the missing of focus boundary information through an edge perception feature enhancement module, and carrying out the recognition of the focus. And then global feature modeling under linear complexity is realized through a polarity perception feature interaction module, a high-discrimination-force multi-scale feature map is generated by using a context-guided feature pyramid network, and finally the model is optimized by combining a Hungary algorithm and a joint loss function based on an end-to-end detection architecture of set prediction. The problems that the focus boundary is fuzzy, feature interaction and calculation efficiency are balanced, and the focus and background separation degree is weak are effectively solved, double improvement of calculation efficiency and detection precision on massive medical image data is achieved, and reliable support is provided for clinical precise auxiliary diagnosis.

The utility model provides a PCB circuit board fixing and detecting tool, which comprises a fixing mechanism for fixing a PCB circuit board body and a detecting device arranged above the PCB circuit board body, the fixing mechanism comprises two rotating rods which are parallel to each other and transversely arranged, an elastic assembly arranged on the side face of the side, close to the other rotating rod, of one rotating rod, and two conveying belts which are arranged on the rotating rods in parallel and connected with the elastic assembly, and the conveying direction of the conveying belts is parallel to the length direction of the rotating rods. The driving assembly is arranged on the rotating rods and controls the conveying directions of the adjacent conveying faces of the two conveying belts to be the same, the two vertical rods are arranged in the vertical direction, and the top ends of the vertical rods are rotationally connected with the middles of the side faces of the sides, away from each other, of the two rotating rods correspondingly; the rotating assembly is arranged at the top end of the vertical rod and controls the two rotating rods to rotate around the middle position; according to the utility model, the PCB circuit board can be conveniently and comprehensively detected, and the detection efficiency of the PCB circuit board is improved.

The invention discloses a tight-lock coupler intelligent tensile testing machine and a testing method thereof, and belongs to the technical field of tight-lock coupler test.The tight-lock coupler intelligent tensile testing machine comprises a mounting bottom plate and an electric control cabinet, and a support for supporting a tight-lock coupler to be detected is mounted on the surface of the mounting bottom plate; a tensile connecting frame for connecting the tight-lock coupler is mounted on the surface of the bottom plate on one side of the support, an integrated design of'tensile force detection and visual detection 'is innovatively adopted, mechanical parameter acquisition and visual deformation observation are combined, traditional mechanical data such as tensile force and displacement are obtained, and visual characteristics such as fine deformation and crack initiation are captured; precise synchronization of pulling force application, displacement collection and camera shooting is achieved through the synchronous controller, the real-time corresponding relation of pulling force-displacement-visual deformation is established, the problems that an existing device is single in detection dimension and poor in data relevance are solved, and the potential quality hazard checking capacity and the persuasion of a detection result are improved.

The utility model provides an underwater robot for bridge detection, which relates to the technical field of bridge detection, and comprises a robot main body, a floating component for providing floating force is arranged at the upper part of the robot main body; the propeller set comprises two side propellers and two tail propellers, the two side propellers are located on the front face of the robot body, and the two tail propellers are located at the same end of the buoyancy assembly and symmetrically arranged front and back; and the two symmetrical walking mechanisms are arranged on the robot main body through mounting structural members. The beneficial effects of the utility model are that through the reasonable layout of the propeller group and the cooperative work of the propellers at the two sides and the tail part, accurate water surface positioning and movement are realized, and the robot is ensured to smoothly approach and fit a pile foundation from the water surface; the posture of the whole machine does not need to be adjusted when the pile foundation is close to the pile foundation, and the pile foundation can be directly adsorbed and attached through the propellers on the two sides; a tensioning mechanism in the walking mechanism has self-adaptability, and an elastic support is matched with a connecting frame connected in a sliding mode.

The invention discloses an intelligent laser welding workstation for a high-voltage cable. The intelligent laser welding workstation comprises an operation table, a mechanical arm, a welding head, a camera assembly, a power assembly, a clamping assembly and a control piece. A control part is installed on the outer side of the operation table and comprises an image acquisition module, an image processing module, a track planning module, a motion control module, a quality detection module, a parameter adjustment module and a synchronous control module. Visual guidance and real-time monitoring in the welding process are achieved through the camera assembly, a welding center point is accurately positioned through an image processing algorithm, the track planning module generates a smooth welding path, and the parameter adjusting module dynamically adjusts welding parameters according to a molten pool image. The synchronous control module receives a production line signal to realize full-process automation of automatic clamping, welding and loosening; efficient and stable laser welding seamlessly integrated with the cable manufacturing process is achieved, and the automation degree, welding precision and product reliability of a production line are improved.

The invention discloses a building pipeline intelligent flaw detection and leakage positioning system, which relates to the technical field of building pipeline detection and comprises a data acquisition module, a multi-modal fusion module, a defect identification module, a leakage positioning module, a digital twinborn module, a health prediction module and a decision control module. The data acquisition module is used for deploying multiple types of sensors along a building pipeline, acquiring acoustic emission signals, infrared thermal imaging images, pressure fluctuation data and fluxgate detection signals in a running state of the pipeline, and outputting original sensing data; the multi-modal fusion module is connected with the data acquisition module and is used for performing feature extraction on the original sensing data, constructing a multi-modal feature vector, dynamically adjusting each modal weight based on environmental parameters and outputting a weighted fusion feature vector; and the defect identification module is connected with the multi-modal fusion module and is used for inputting the weighted fusion feature vector into a deep neural network model.

The invention belongs to the technical field of optical signal collection and imaging, and particularly relates to a multi-path nonlinear optical signal collection device. The adjusting table is used for bearing a to-be-detected sample and adjusting the spatial pose of the to-be-detected sample, the laser emitting module is used for emitting laser, the to-be-detected sample is excited by the laser to obtain a nonlinear optical signal, the nonlinear optical signal is incident to the overturning mirror through the reflection transmission unit or the transmission transmission unit, and the overturning mirror is used for adjusting the spatial pose of the to-be-detected sample through angle adjustment. The nonlinear optical signal is reflected to a first signal processing module or a second signal processing module, and the first signal processing module processes the nonlinear optical signal from the reflection transmission unit or the transmission transmission unit to obtain a spectral analysis processing result; and the second signal processing module processes the nonlinear optical signal from the reflection transmission unit or the transmission transmission unit to obtain an electric signal processing result. The device is used for collecting non-linear optical signals of far-end detection optical paths of reflection, transmission, oblique incidence and the like.

The invention belongs to the technical field of swivel bridge detection, and particularly relates to a swivel bridge horizontal alignment detection device which comprises a mounting seat fixed to the upper end of an abutment, a controller is fixedly connected to the side wall of the mounting seat, and two guide boxes are symmetrically and fixedly connected to the upper side wall of the mounting seat. After the swivel bridge construction is completed, mechanical contact detection is arranged on the abutment, compared with a detection assembly arranged between two swivel bridges which are spaced by four meters, a fixed and accurate mounting reference can be provided for the detection device by means of a stable structural foundation of the abutment, and a detection structure does not need to be arranged between the bridges which are spaced by four meters; the problems of inconvenient operation, large assembly fixing difficulty and the like caused by cross-interval installation are avoided, the bending deformation of the detection rod due to the gravity of the detection rod can be effectively avoided, and the detection precision is guaranteed from the installation reference and the detection structure.

The invention relates to the technical field of nondestructive testing of constructional engineering, and discloses a laser measuring instrument for nondestructive testing of concrete cavities, which comprises a laser interference measuring assembly, a paraxial sound wave excitation assembly, coaxially arranged anti-interference equipment and a cooperative control processing system. The sound wave excitation assembly performs wide-area excitation on the concrete surface, and the laser interference measurement assembly receives returned light through a clean light path constructed by the anti-interference equipment. The cooperative control processing system establishes acousto-optic time-frequency association by using an adaptive control module, generates a phase compensation angle according to ranging data to eliminate phase lock loss caused by sound wave propagation delay, and monitors a spectral gradient to automatically trigger fixed-frequency locking to capture resonance response. And the signal analysis module uses the phase compensation correction signal, and outputs cavity features through dual data cleaning and thermodynamic diagram analysis. According to the invention, the problems of time-space synchronization and weak signal extraction of long-distance non-contact detection in a complex environment are effectively solved.

The invention relates to the technical field of forest tree seed breeding, in particular to a seed vigor rapid detection method oriented to a forest tree seed breeding process. The technical problem that in the prior art, it is difficult to effectively distinguish signal changes introduced by physical property fluctuation and substantive spectral differences generated by biochemical deterioration in seeds, and the working efficiency and the detection accuracy are seriously affected is solved. The method comprises the following steps: determining reference parameters for correcting diffuse reflection spectrums of seeds based on spectral data of a plurality of seeds collected at the initial stage of material change; determining a first difference value based on the internal substance characteristic spectrum, a preset reference spectrum characteristic and a preset graph theory matching algorithm; performing compensation calculation on the first difference value based on the thickness characterization parameter, the reference parameter and a preset nonlinear attenuation model to determine a second difference value; and sorting the target seeds based on the second difference value and a preset sorting threshold value. The method is used for forest tree seed breeding scenes.

The invention relates to the technical field of image data processing, in particular to a hub surface defect detection method and system based on image processing, and the method comprises the steps: shooting the surface of a hub, obtaining an enhanced grayscale image, and carrying out the superpixel segmentation of the enhanced grayscale image, so as to obtain a connected domain; constructing a connected domain set of a target connected domain of an enhanced grayscale image shot over against the surface of the hub; respectively inputting the connected domains in the connected domain set into the trained SVM model, and outputting the defect probability that each connected domain belongs to each defect type; and performing weighted fusion on the defect probability of each connected domain belonging to the target defect type to obtain a comprehensive probability of the target connected domain belonging to the target defect type, and when the comprehensive probability is greater than a defect threshold, judging that the target connected domain has the defect of the target defect type. According to the method, the adaptive measurement distance is constructed, so that the superpixel segmentation process is more fit with the hub surface physical structure and the defect real boundary, and the defect detection accuracy is improved.

The invention discloses a self-adaptive multi-level forged voice detection method based on a belief propagation mechanism. The method comprises the following steps: performing feature extraction on voice to be detected to obtain an initial feature vector; reasoning the initial feature vector by using a lightweight model to obtain an initial confidence coefficient representing the voice forgery possibility; based on a low-confidence threshold value and a high-confidence threshold value which are determined through performance optimization, performing multi-level discrimination on the input voice and screening difficult samples; generating expert feature vectors for the difficult samples by adopting a depth feature extraction network regulated and controlled by the initial confidence coefficient; constructing a query vector based on the initial confidence, and fusing expert features through an attention mechanism; and voice authenticity determination is completed according to the fusion features. The initial confidence is used as the cross-stage control quantity, so that the self-adaptive adjustment of the detection process is realized, and the average reasoning delay is reduced while the detection accuracy is ensured.

The utility model relates to the technical field of air tightness detection tools, in particular to a novel air tightness detection tool for a heat exchanger, which reduces the operation burden of personnel and improves the detection efficiency. The PEEK material realizes end face and radial sealing according to structural requirements, and fits an actual application scene of the heat exchanger; the highly-integrated tool can adapt to airtightness detection of heat exchangers of different sizes and structures through replacement of the supporting blocks and the cushion blocks, and the development cost of the airtightness tool is greatly saved. Comprising a base and a first supporting block, and the first supporting block is installed on the outer side wall of the base; the device comprises a base and further comprises a positioning assembly, a moving device, a first air inlet head, an adapter, air inlet blocks, a pressing block, a sealing head, a first sealing ring, a second air inlet head and a second sealing ring, the positioning assembly is arranged on the base, the two air inlet blocks are installed on the base through the moving device, and the moving device is used for driving the two air inlet blocks to move horizontally. And every two groups of adapters are respectively arranged on one group of air inlet blocks in a communicating manner.

The invention provides a coating defect identification and rating method. The method comprises the following steps: preparing a coating sample plate; acquiring a coating image data set; preprocessing the image data set; carrying out threshold-adaptive image binarization preprocessing on all the coating pictures; a coating defect data set is obtained through Label automatic labeling, wherein the coating defect data set comprises defect positions and defect type labels; pre-training a YOLOv11 target detection network structure, then training a coating defect data set by adopting a transfer learning strategy, and completing establishment of a coating defect identification and rating model; and identifying and rating defects. According to the invention, based on image adaptive threshold processing and an improved YOLOv11 lightweight LHGNet target detection model, efficient, automatic and high-precision detection of coating defects of ships and the like is realized, and the method is adaptive to field equipment and complex environments and has the advantages of high detection precision, good real-time performance and objective rating.

The invention provides an asphalt material softening point prediction modeling method based on an infrared spectrum, and belongs to the technical field of road engineering material performance prediction. The method comprises the following steps: collecting infrared spectrum data of a multi-source asphalt sample and carrying out standardization pretreatment; fusing and extracting functional group quantitative features, wavelet multi-scale features and principal component dimension reduction features; constructing a high-stability feature subset by adopting a progressive feature optimization strategy guided by a physical mechanism; a self-adaptive Stacking fusion model is constructed and trained, the model integrates four base learners including PLSR, SVR, random forest and gradient boosting regression, and Bayesian ridge regression is used as a meta-learner to realize uncertainty quantification of a prediction result. The method can quickly output the predicted value of the softening point without a physical test, solves the technical problems of low efficiency and poor consistency of a traditional method, and is suitable for production quality control, on-site quick detection and formula optimization of asphalt materials.

The utility model provides an automatic detection device for a power-assisted gear of an automobile steering device, and the device comprises a machine which is provided with a feeding module used for feeding and conveying a gear shaft, an outer diameter detection module used for detecting the outer diameter of the shaft end of the gear shaft, a run-out detection module used for detecting the run-out of the gear shaft, and a detection module used for detecting the run-out of the gear shaft. The inner diameter detection module is used for detecting the inner diameter of a hollow channel of the gear shaft, the marking module is used for conducting laser marking on the gear shaft, and the discharging module is used for discharging and stacking the gear shaft. In this way, the shaft end outer diameter of the gear shaft, the inner diameter of the hollow channel, run-out tolerance detection and the like are integrated, and the working efficiency is effectively improved.

The application discloses a vehicle reverse driving detection method for an expressway, and comprises the following steps: reading single-frame initial data of an expressway video stream, inputting the single-frame initial data into a lane line detection model to obtain lane lines and generate initial lane information; adaptively generating a first region and a second region; merging the two target detection regions, inputting the two target detection regions into a target detection model to obtain vehicle detection results, fusing the vehicle detection results, inputting the fused results into a multi-target tracking algorithm to obtain vehicle trajectory information; judging the driving direction of a lane; and identifying whether reverse driving occurs based on the trajectory information of a current vehicle and the driving direction of the lane where the current vehicle is located. The application can solve the problem of large calculation overhead caused by frame-by-frame analysis of a lane region in a traditional vehicle reverse driving detection method for an expressway by analyzing the relative position relationship between the vehicle motion trajectory and the identified lane in real time.

The utility model discloses a kind of flue gas tightness detection equipment, including moving frame, detection groove and pipe installation device, the pipe installation device includes rotating shaft, pipe installation block and pipe rotating device, pipe rotating device is installed in the outside of pipe installation block, pipe installation block and pipe rotating device are all installed on rotating shaft, both ends of rotating shaft are equipped with pipe installation block and pipe rotating device, both ends of rotating shaft are installed in the groove both sides of detection groove, the bottom of detection groove is connected by moving frame and supported, solve the problem that traditional detection equipment exists, low efficiency, insufficient precision, complex operation and poor applicability, multiple flue and different length flue can be detected simultaneously, improve detection adaptability.

The application discloses a kind of landing gear inner tube surface scratch weak magnetic flaw evaluation method, its evaluation method includes the following steps: first need to carry out surface cleaning pretreatment to landing gear inner tube to be measured, and in the condition without additional excitation magnetic field, using geomagnetic field as natural excitation source, geomagnetic field environment calibration is carried out to landing gear inner tube surface, establishes background magnetic field baseline, according to the outer diameter size and surface curvature radius R of landing gear inner tube.The application adopts flexible carrier to carry multiple sensors, and good adhesion of sensor and inner tube surface is realized by adaptive layout mode, effectively overcome the influence of landing gear inner tube cylindrical surface curvature on detection signal consistency, improve the repeatability and reliability of detection, adopt the adaptive noise suppression method based on wavelet threshold, can retain weak scratch magnetic leakage signal characteristics while effectively filtering geomagnetic background noise and circuit noise, compared with traditional filtering method has better signal fidelity.

This application discloses an automated continuous sample feeding device for non-destructive testing of precious metals, belonging to the technical field of precious metal testing equipment. It includes: a stepper motor; a rotating tray connected to the output of the stepper motor via a rotating shaft at its center, allowing it to rotate along the rotating shaft under the drive of the stepper motor; and a height adjustment mechanism for adjusting the distance between the rotating tray and the X-ray fluorescence spectrometer along the ground normal direction. By driving the rotating tray to rotate around its central axis via the stepper motor, and cooperating with the height adjustment mechanism, automatic positioning of the sample and the X-ray fluorescence spectrometer is achieved, thereby enabling continuous sample feeding from the rotating tray. This replaces manual sample changing by opening the tray, improving testing efficiency and avoiding radiation exposure risks.

This utility model relates to the field of stretching instruments, and more particularly to a stable stretching structure for a stretching instrument. The technical problem is that existing stretching instruments use clamping structures that do not hold the fabric tightly, allowing knitted fabrics to easily slip off the clamps during stretching. The technical solution is a stable stretching structure for a stretching instrument, comprising a body, a through groove, a tension sensor, a fixed end platform, a linear motor and a moving end platform, a dust curtain, a stretching fixing component, and a measuring scale. This utility model replaces the clamps on the original stretching instrument with a stretching fixing component, providing better fixation for both ends of the knitted fabric and preventing it from easily slipping off during stretching, thus ensuring the normal conduct of the stretching test. The dust curtain reduces the possibility of external dust entering the machine body during use, preventing contamination of internal electrical equipment. This solves the problem of existing stretching instruments using clamping structures that do not hold the fabric tightly, allowing knitted fabrics to easily slip off the clamps during stretching.

The utility model relates to coal quality detection technical field discloses a coal crushing device and coal quality detection device, including casing, screening subassembly, flow guide seat, grinding block and air heater. The casing is equipped with feed inlet and discharge gate. Screening subassembly divides the casing into intercommunicating first chamber and second chamber, the first chamber communicates with the feed inlet, and the second chamber communicates with the discharge gate. The flow guide seat is located in the downside of feed inlet. The grinding block is located in the flow guide seat, and the clearance between the peripheral wall of grinding block and the inner wall of flow guide seat, and the grinding block can rotate relative to the flow guide seat. The air heater is connected with the casing, and the air outlet of air heater is communicated to the second chamber. The coal is crushed through the grinding block, and the crushed coal is collected to the second chamber, and the coal in the second chamber is dried through the air heater, and the crushing and drying of coal are completed in the casing, the operation of manual sample transfer is reduced, the detection error is reduced, the process is saved, and the detection efficiency is improved.

The application discloses a detection tool for a door frame assembly, and relates to the technical field of automobile part detection equipment, comprising a detection platform, wherein the detection platform is provided with a positioning unit which is inclined compared with the vertical direction, the detection platform and the positioning unit are an integral structure and are integrally pressure cast by cast iron, and the positioning unit is provided with a positioning groove for positioning the door frame assembly; a plurality of groups of pressing units are arranged at intervals around the end of the positioning groove, the pressing unit comprises a driving piece and a pre-pressing piece, the driving piece can drive the pre-pressing piece to rotate above the positioning groove, so that the end of the door frame assembly is pressed against the positioning groove. The detection platform and the positioning unit for positioning are formed by using an integrated pressure casting process, which can effectively avoid the deformation of the positioning unit during the detection process, reduce wear and tear, and cope with high-order detection and correction operations. The redesigned pressing unit can also automatically and synchronously clamp.

This utility model relates to the field of insulation withstand voltage testing technology for insulating equipment, specifically disclosing a high-voltage insulation testing assembly, including an intelligent high-voltage testing device, a test high-voltage transformer, a high-voltage insulating rod test frame, and a high-voltage insulation test chamber. The top of the high-voltage insulating rod test frame is the conductor part of the test insulating rod, and both ends of the conductor part of the test insulating rod are provided with high-voltage wire junction box fixing screws and matching nuts. Two high-voltage insulating rods are vertically fixed to both ends of the conductor part of the test insulating rod and connected by a locking device at the top. The bottom of the high-voltage insulating rods is connected to a ground balance fixing bracket, and both ends of the ground balance fixing bracket are provided with widened stabilizing brackets. Through modular parallel design and expandable structure, simultaneous batch testing of various insulating equipment can be achieved, significantly improving the testing efficiency by more than 60%. At the same time, the dual stabilizing brackets and intelligent control system ensure the safety and automation of high-voltage testing, significantly reducing labor costs and energy consumption.

This invention discloses an internal bore measuring machine, including a base, a seat, and a top steel plate covering the seat; a transition roller track, including a roller assembly and a gantry frame; a positioning device, including a frame, a top plate, a lifting cylinder; a rear inspection mechanism, including a fixed frame, a transverse movement mechanism and a transverse linear slide rail mounted on the fixed frame, a reciprocating measuring mechanism mounted on the transverse movement mechanism; a control cabinet with a built-in PLC as the main controller; a cantilever operation box assembly is provided on one side of the control cabinet, the cantilever operation box assembly including a cantilever, an operation box, and an enclosure assembly consisting of a front enclosure and two side enclosures respectively placed on both sides of the front enclosure, with a U-shaped cross-section, placed on the base and with the U-shaped opening fastened to the control cabinet, enclosing the positioning device and the gantry frame. This invention solves the problems of poor coordination of existing automatic detection and conveying, low efficiency of step-by-step detection, and insufficient rigidity.

The utility model discloses a kind of automatic detection machines of wheel hub bearing thread hole, including machine table, multiple stations and handling mechanism being located in the machine table, the station includes rotating station, hole position detection station, small thread hole detection station and large thread hole detection station, the machine table and located the rotating station are provided with auxiliary positioning mechanism and rotating drive mechanism, product rotation is driven by the rotating drive mechanism;Hole position detection station is provided with position detection gauge, first jacking mechanism and pressing mechanism, product is lifted by first jacking mechanism, product is pressed by pressing mechanism to see whether the hole of product to be detected can be inserted into position detection gauge.The utility model can realize the automatic detection of small thread hole and large thread hole position on wheel hub bearing, also can simultaneously realize the automatic detection of whether the hole of small thread hole and all large thread hole on wheel hub bearing is qualified, detection efficiency is high, reduce artificial cost, detection precision is high, and effect is good.

The utility model discloses a high -order curtain wall discoloration glass intelligence optical performance detection device, include: bottom plate, the top fixed connection of bottom plate has the limit slot piece, the top fixed connection of limit slot piece has the detection body through bolt, wheel replacement subassembly, the bottom rotation connection of wheel replacement subassembly with the top of bottom plate, wheel replacement subassembly is used for the user in the device is carried out rotation replacement, loading debugging component, the surface fixed connection of loading debugging component one side with wheel replacement subassembly, the utility model relates to glass detection technical field. This high -order curtain wall discoloration glass intelligence optical performance detection device, utilize the setting of loading debugging component, and the staff can be in the detection process, in the outside, the large high -order curtain wall discoloration glass is inserted into the plug -in block in swing frame, avoids the installation of glass in the detection equipment and spends a lot of time, before detection, only need to insert the plug -in block of external frame bottom into the installation slot piece.

A kind of detection method and device of fake APP, terminal, the method includes: determining training data;Keyword extraction is carried out to the brief introduction of each pair of target APP and the brief introduction of suspected APP, and the data vector of each keyword is determined;Determine the weight value of each keyword, and the data vector of each keyword in the target APP is weighted based on the weight value Operation is carried out to obtain target APP data vector, and obtain suspected APP data vector;The vector comparison result of target APP data vector and suspected APP data vector is calculated, the absolute value of the vector comparison result is determined as first data vector, and the square of the vector comparison result is determined as second data vector;Obtain the training text vector of the pair of target APP and suspected APP;Training fake detection model.The present application can enhance the association between keywords in model training phase, reduce the misjudgment rate.

Embodiments of the present application provide a method, device and related equipment for judging the working state of a loop car. The method comprises: obtaining working state information of a preset position of the loop car, the working state information comprising three-axis inclination information and three-axis vibration frequency information, wherein the loop car comprises a steel wire rope, a guide wheel and a chain; determining a first comparison result of the three-axis inclination information and a first inclination threshold; determining a second comparison result of the three-axis vibration frequency information and a second vibration frequency threshold; and judging an abnormal part of the loop car based on the first comparison result and the second comparison result. The above method can accurately detect the working state of the loop car without using a laser sensor, thereby breaking the limitation of the applicable environment for detecting the working state of the loop car using a laser sensor.