91results about How to "Avoid subjective error" patented technology

The invention discloses a deep convolutional neural network-based pineapple maturity nondestructive testing method and system, and relates to the technical field of vegetable and fruit detection. Comprising the following steps: acquiring a pineapple appearance image with known surface texture feature parameters and color feature parameters, and preprocessing the pineapple appearance image to form a sample image; and establishing a convolutional neural network prediction model based on the sample image, inputting a pineapple appearance image and outputting corresponding feature parameters. And collecting an appearance image of a pineapple to be detected, preprocessing the appearance image, inputting the preprocessed appearance image into the prediction model to obtain characteristic parameters, and calculating a maturity judgment coefficient. And detecting the ethylene and carbon dioxide concentrations of the pineapple to be detected, and correcting the maturity judgment coefficient to obtain an accurate judgment coefficient. According to the method, the judgment threshold value is dynamically corrected, the accurate judgment coefficient is compared with the dynamic threshold value, different maturity judgment results are sent out, more accurate and comprehensive maturity evaluation is provided, and more efficient and accurate decision support is provided.

The invention provides a rod-pumped well working condition monitoring knowledge base construction method based on theoretical electric power reconstruction, and belongs to the technical field of oil field informatization construction. Actually-measured electric power curves of all working conditions of a rod-pumped well and corresponding oil pumping unit parameters are obtained, and an electric power historical data set is formed; establishing a relational expression among the suspension center displacement, the suspension center load, the electric power and the crank angle; establishing an electric power to suspension point indicator diagram model, and calculating a suspension point indicator diagram corresponding to the actually measured electric power curve; a theoretical indicator diagram generation method is adopted, and the suspension point indicator diagram obtained through calculation is converted into a theoretical indicator diagram; establishing a suspension point indicator diagram to electric power conversion model, and calculating a theoretical electric power curve corresponding to the theoretical indicator diagram; and extracting shape features of the theoretical electric power curve and the actually measured electric power curve, and establishing a rod-pumped well working condition monitoring knowledge base by utilizing an electric power historical data set. The theoretical electric power curve can be automatically calculated according to the actually measured electric power curve, and expert participation is not needed.

The invention belongs to the field of geological engineering construction, discloses a TBM (Tunnel Boring Machine) real-time slag monitoring system and a TBM real-time slag monitoring method for advanced geological forecast, solves the problems of lack of real-time performance, continuity and accuracy and low processing efficiency of surrounding rock state analysis in the traditional technology, and provides powerful support for advanced geological forecast in a TBM tunneling process. The method comprises the following steps: continuously acquiring rock slag images to obtain a rock slag acquisition video; cutting the rock slag acquisition video into an image sequence with a fixed time interval, and aligning the timestamp of each rock slag image with the recording time of the TBM tunneling parameters; then the cut rock slag image is preprocessed; then identifying the preprocessed rock slag image to obtain a classification result of the rock slag; and finally, the classification result of the rock slag and TBM tunneling parameters are fused to serve as input, and the surrounding rock grade is calculated through a surrounding rock grade grading model so that the tunneling strategy can be adjusted in real time. The method is suitable for underground engineering construction scenes.

The invention discloses a plant leaf disease and insect pest detection method and system, and relates to the field of intelligent agriculture, and the method comprises the following steps: calibrating a binocular vision system; collecting plant leaf disease and insect pest images by adopting a calibrated binocular vision system; using improved YOLOv8-seg to segment the disease and insect pest area of the image to obtain a left mask, a right mask and an integral plant leaf; calculating an overlapping region of the left mask and the right mask as a final pest and disease damage region; calculating the percentage of the final pest and disease damage area in the whole plant leaf as the plant leaf pest and disease damage degree; respectively acquiring geometric center coordinates of the left mask and the right mask; performing three-dimensional correction on the left mask and the right mask; and calculating three-dimensional coordinates corresponding to the left mask and the right mask after three-dimensional correction. The invention provides a plant leaf disease and insect pest detection method and system, and provides convenience for intelligent agricultural disease and insect pest diagnosis and agricultural mechanization operation.

The invention discloses an intelligent ovulation detection system and method, and the method comprises the steps: taking a picture of immune layer test paper with to-be-detected urine dropped on an immune layer of a patient, and obtaining the picture of the immune layer test paper with the to-be-detected urine dropped; receiving and processing the picture of the immune layer test paper dripped with the urine to be detected to obtain the LH concentration value of the test paper of the patient; storing test paper LH concentration values, calculated according to the immune layer test paper pictures dropped with the urine to be detected and received for multiple days continuously, of the patient for multiple days continuously; according to the change trend of the LH concentration value of the test paper of the patient for multiple consecutive days, estimating that ovulation of the patient is about to occur according to the time when the LH concentration value of the test paper is close to the peak; when it is estimated that ovulation of the patient is about to occur, the patient is prompted to conduct sex hormone examination and B-ultrasonic examination, and then it is finally confirmed that ovulation is about to occur according to the sex hormone examination result and the B-ultrasonic examination result of the patient.

The invention discloses an intelligent detection method for appearance defects of a chip test carrier, and the method comprises the steps: obtaining a plurality of images of the chip test carrier, carrying out the image segmentation based on deep learning, and obtaining a plurality of first images; performing feature extraction on the first image and the spatial structure information of the chip test carrier through a multi-modal feature extraction network to obtain a first image feature; the first image feature is a high-dimensional feature vector fusing space structure information and image information of the chip test carrier; performing defect detection on the first image feature through a defect detection network, and outputting a defect detection result; the defect detection result comprises the defect position, the defect type and the probability of the defect type of the chip test carrier. The whole process from image acquisition to defect identification is automatic, subjective errors of manual detection are avoided, consistency and efficiency are improved, and cost is reduced.

The invention discloses a road quality automatic detection method and system based on object recognition, and the system comprises an image collection module which comprises a plurality of devices and is capable of adjusting parameters and collecting road images; the data transmission module is stable in transmission and supports wired and wireless modes; the image preprocessing module is used for denoising, enhancing contrast and correcting distortion; the object recognition module is used for recognizing a road problem by using a CNN model; the quality evaluation module is used for evaluating according to standards and formulas; the storage and display module is used for storing data and displaying results, and all the modules cooperate to guarantee detection. The road quality can be efficiently and accurately detected, manual errors are reduced, images can be rapidly collected and processed, various road diseases can be recognized, the quality can be automatically evaluated, data storage and display are convenient, safe and stable data transmission can be guaranteed, and road maintenance and management intelligentization is facilitated.

The invention relates to a steel bar reverse bending test device, and belongs to the field of steel bar detection devices. The device comprises a rack and a workbench rotationally arranged on the rack. A supporting shaft is arranged on the rack; the supporting shaft penetrates through the workbench upwards and is coaxial with the workbench. A plurality of mounting holes are formed in the workbench; a bending block is inserted into any mounting hole; a working plate is arranged on the rack in the vertical direction in a sliding mode. A sliding rail is arranged on the working plate; scale marks are arranged in the length direction of the sliding rail. A first supporting piece is slidably arranged on the sliding rail. A first through hole is formed in the first supporting piece; a second supporting piece is arranged on the working plate; a second through hole is formed in the second supporting piece; the steel bars sequentially penetrate through the first through holes and the second through holes. A first image sensor is arranged on the rack; the method has the technical effects of avoiding manual calculation of the steel bar bending angle and improving the steel bar detection precision.

The invention discloses a full-process visual monitoring and intelligent management method for a glass bracket production line, and relates to the technical field of industrial quality control, and the method comprises the steps: carrying out the continuous image collection of all stations of the glass bracket production line through an image collection unit, and constructing a full-process image data sequence; detecting the size of the glass bracket by using the qualified glass bracket size image database, and judging whether the size is abnormal or not; further performing defect detection on the glass bracket with the normal size, and determining whether an abnormal defect exists or not through pixel value difference analysis; and finally, summarizing the glass brackets with abnormal sizes or defects and related information thereof, and generating a visual quality report, so as to quickly position problems and optimize the production process. The comprehensive monitoring and intelligent management of the glass bracket production process are realized, and the production efficiency and the product quality are improved.

The present application discloses a method and device for determining the implantation position of a steel plate based on the distal end of the femur. The method relates to the fields of data processing technology, medical device technology and other related technical fields. The method includes: performing three-dimensional reconstruction based on the image data of the distal end of the femur of the target object to obtain a three-dimensional model 1 corresponding to the distal end of the femur of the target object; determining a preset implantation area of ​​the target implanted steel plate based on the three-dimensional model 1; within the preset implantation area, implanting each of a plurality of steel plates to be implanted into the three-dimensional model 1 to obtain a plurality of three-dimensional models 2; determining the target implanted steel plate from a plurality of steel plates to be implanted based on the three-dimensional model 1 and the plurality of three-dimensional models 2, and determining the implantation position corresponding to the target implanted steel plate as the target implantation position. Through the present application, the problem that the implantation position of the medial steel plate at the distal femoral fracture is determined based on artificial experience in the related art, resulting in a relatively low accuracy in the planning of the steel plate implantation, is solved.

The invention discloses a waterscape configuration method and device, equipment and a storage medium, and relates to the field of electric digital data processing, and the method carries out the interval division of the full-time passenger flow volume of a landscape, enables a corresponding function at the corresponding passenger flow volume, does not need to be opened and closed manually or according to a formulated plan, and improves the operation efficiency. In order to achieve the aim of relying on the real-time passenger flow volume, a prediction technical means is further used for predicting the upcoming passenger flow volume or the real-time passenger flow volume, and compared with the prior art, waterscape control can obviously improve the utilization efficiency of crystals; and meanwhile, subjective errors and mistakes caused by manual opening and closing are avoided.

The application discloses a quality detection system and method for glue injection laser profile, and belongs to the technical field of quality detection. The system comprises the following steps: obtaining a reflected point cloud signal of a glue injection finished product, constructing a point cloud data stream, setting an image reconstruction method, constructing a glue layer three-dimensional model, synchronously generating a pseudo-color gray scale image, and realizing visual representation of the surface texture of the glue layer; constructing a three-layer feature extractor, setting a quality preliminary judgment method, cross-layer fusing features of different scales, solving the missed detection problem of traditional single feature detection on complex defects, automatically identifying basic defects, and outputting a quality preliminary judgment result; judging defects of the glue injection finished product that does not meet the preliminary judgment, setting a defect detailed judgment method, voxel-level segmenting a three-dimensional image, calculating features of the defects, and judging whether the defects affect the use performance of the product, so as to generate a detailed judgment result, realize accurate positioning of complex defects, and improve the defect type recognition accuracy.

This utility model relates to a mechanical comparator suitable for bearing testing, comprising a housing, a first positioning block fixedly mounted on the top of the housing by a first bolt and a second bolt, and a base plate fixedly connected to the bottom of the housing; an adjusting block fixedly mounted inside the housing, the adjusting block being connected to a first guide post, the first guide post being fitted with a first guide sleeve; the adjusting block being connected to a second guide post, the second guide post being fitted with a second guide sleeve; a fixing block being mounted on the upper end of the first and second guide posts; and a second positioning block being connected to the fixing block; the inner diameters of both the first and second positioning blocks are matched to the bearing assembly to be tested; an adjustment device is mounted on the base plate for adjusting the gap between the fixing block and the adjusting block. Thus, the inner holes of the first and second positioning blocks precisely match the outer ring of the bearing to be tested, and with the coaxiality control of the mandrel and measuring ring, the bearing is ensured to be subjected to uniform force, avoiding subjective errors caused by reliance on worker experience in traditional dial indicator testing.

The invention provides a roadway repairing machine which comprises a mechanical arm, a plurality of angle measuring devices and an adjusting device, the mechanical arm is provided with a plurality of arm sections connected in sequence, and every two adjacent arm sections are connected through a rotating shaft; at least one part of the angle measuring device is connected with the rotating shaft, the angle measuring device comprises a rotating speed sensor, and the rotating speed sensor is used for measuring an included angle between two adjacent arm sections in real time; at least one part of the adjusting device is electrically connected with the mechanical arm and the angle measuring device, and the adjusting device can adjust the rotating angle of the arm section according to the included angle. The problem that in the prior art, the real-time measurement effect of the mechanical arm angle of a roadway repairing machine is poor is solved.

The invention provides a method for determining the robustness of a steel plate and related equipment, and is applied to the technical field of steel plate stamping. Dividing a steel plate with a preset width in the width direction to obtain a plurality of steel plate segments, and numbering the steel plate segments; based on a preset test condition, carrying out friction test on the odd number of steel plate segments to obtain first dynamic friction performance; cleaning the steel plate segments with even numbers, and performing friction test on the cleaned steel plate segments based on preset test conditions to obtain second dynamic friction performance; and determining the robustness of the steel plate based on the first dynamic friction performance and the second dynamic friction performance. According to the scheme, the friction test is automatically performed through the preset test conditions and equipment, so that the time is greatly saved, the subjective error is avoided, and the accuracy is improved.

The invention discloses a road roller autonomous operation path tracking control method, system and device and a storage medium. The method comprises the steps that the current position, posture, motion state and environment sensing data of a road roller are collected through a multi-sensor assembly; calculating a distance deviation and an angle deviation between the road roller and the preset path according to the preset operation path and the current position; based on the distance deviation and the angle deviation, a steering control instruction is generated through an algorithm combining feedforward control and PID feedback control; according to the residual operation path distance and the preset total operation time, generating a speed control instruction by adopting a trapezoidal speed planning algorithm; the steering control instruction and the speed control instruction are cooperatively adapted through a coordination control mechanism; the sensor data validity, the system operation state and the operation environment safety are monitored in real time, and safety protection measures are triggered when preset abnormal conditions are met. According to the invention, high-precision path tracking, forward and backward adaptive control, steering speed coordination and multi-layer safety guarantee can be realized.

The application discloses a kind of wind power main shaft front axle sleeve camber detection equipment, it is related to wind power main shaft detection technical field, including detection base, the side of detection base is connected with portal frame in bearing frame;Gear disc is mounted in the inside of suspension plate in bearing frame, the both sides of gear disc are provided with input rotating lever and output rotating lever, and input rotating lever and output rotating lever are driven and cooperated by gear mechanism, and the one end of output rotation is equipped with inner curvature detection rod, and the both ends of inner curvature detection rod are equipped with first and second camber measuring instrument;The side of bearing frame is equipped with first and second outer curvature detection rod;The side of portal frame is equipped with load beam, and load beam is equipped with support mechanism.The application is further eliminated manual operation risk by being equipped with support mechanism and curvature detection structure, simultaneously, precise gear transmission and the arrangement structure of multiple measuring instrument are utilized, can realize inner and outer camber accurate measurement, and with mechanical automation replaces manual operation, so that detection process is safe, accurate, efficient.

The application discloses a tunnel construction process automatic monitoring method, and belongs to the technical field of tunnel engineering construction monitoring. The method comprises the following steps: step 1, automatic monitoring equipment is arranged at key positions of a tunnel opening area, an advanced support section, an excavation face, an initial support structure, a waterproof layer construction area and a secondary lining structure; step 2, each automatic monitoring equipment is started, and monitoring data is collected at a preset sampling frequency; step 3, after receiving the monitoring data, a central monitoring platform uses a big data analysis algorithm to deeply process the monitoring data; and step 4, the central monitoring platform feeds back monitoring results and early warning information after analysis to a tunnel construction control system in real time. The application realizes real-time data acquisition and analysis through 5G technology, especially the UWB positioning system collects data once per second, realizes instant acquisition and analysis of monitoring data, and compared with traditional manual monitoring, the data update frequency is improved by tens of times, and abnormal conditions in the construction process can be found in time.

The application discloses an automatic counting method for the egg-laying quantity or hatching rate of Spodoptera exigua. The method comprises the following steps: collecting a multilayer focal plane image sequence of an egg mass, constructing a height field model of the egg mass, dividing egg grains into different physical layers based on the spatial position relationship in the vertical direction, and respectively counting the number of each layer. The method also introduces a shielding compensation calculation to correct the lower layer of the blocked egg grains, so as to accurately obtain the layered egg quantity data. The application solves the problem that the traditional two-dimensional image recognition cannot distinguish the hierarchy of the egg mass, which leads to a serious low count, realizes the accurate counting of the stacked egg mass, and provides a reliable technical means for entomological research and pest forecasting.

The present invention discloses a method, device, equipment and storage medium for detecting sample stability, which obtains the spectral data of the sample, wherein the spectral data is a two-dimensional array of light intensity values ​​in two dimensions of sampling time and sampling position, extracts the maximum light intensity value at the sampling moment for each sampling moment in the two-dimensional array, determines the target sampling position corresponding to the maximum light intensity value, constructs an array sequence including multiple groups of sampling moment-target sampling positions, calculates the correlation coefficient of the array sequence, and determines the stability of the sample based on the correlation coefficient and the correlation coefficient of historical spectral data of historical samples that have been determined to be stable. The present invention comprehensively and coherently describes the changes of the sample, does not ignore the features within each height range or time range, performs a correlation test on the array sequence of sampling moment-target sampling position, and compares it with the correlation coefficient of the stable sample, thereby improving the accuracy of the determination, saving the time and cost of manual determination, and avoiding subjective errors.

The utility model provides a kind of pry detection alarm tool, including handle, crowbar and tension spring, handle one end is provided with mounting bracket, the other end is provided with holding part;Crowbar is hinged on the mounting bracket of handle, the first section of crowbar is located outside the mounting bracket of handle, the second section of crowbar is located between the mounting bracket of handle and holding part;Tension spring is connected between handle and crowbar, one end of tension spring is located between the mounting bracket of handle and holding part, the other end is located on the second section of crowbar.The utility model passes through lever principle, when the pressure on handle is more than the upper limit of tension of tension spring, displacement of crowbar tail portion occurs and leaves the slot of sensor, make sensor signal transmission to alarm circuit board and carry out sound and light alarm, indicate that the welding tension of this position meets the upper limit of set tension, solve the subjective error of manual pry detection operation, reduce over-check risk while guaranteeing detection reliability.

A novel automatic reset fixture, relating to the field of aging testing equipment technology, is used for aging testing of devices. From bottom to top, it includes a base plate, a PCB matching board, and a probe limiting plate capable of supporting the device. The PCB matching board has a number of auxiliary probes, and the probe limiting plate has through holes for the auxiliary probes to pass through. Fixture assemblies are respectively arranged on both sides of the PCB matching board. The fixture assemblies include a lower support plate, an upper pressure plate, a flipping plate, a lower pressure plate, two guide shafts, and two compression springs. This fixture is adapted to the automation, flexibility, and intelligent production needs of modern manufacturing, achieving an overall improvement in production quality, efficiency, safety, and control levels through technological optimization, providing reliable tooling support for the stable and efficient operation of the entire production process.

The application provides a pinhole degree detector and an automatic device, and relates to the technical field of detection. The pinhole degree detector comprises a detection box, and a flattening mechanism, a detection mechanism and a winding mechanism are sequentially arranged in the detection box along a preset direction. The winding mechanism is used for winding the material to be detected, so that the material to be detected moves along the preset direction. It can be understood that the preset direction here is the conveying direction of the material to be detected. On the moving path of the material to be detected, the flattening mechanism is used for flattening the material to be detected. The detection mechanism is used for acquiring pinhole information on the material to be detected. Based on this, the pinhole degree detector provided by the application does not need manual carrying and positioning of the material to be detected, greatly reduces the manual labor intensity, improves the production efficiency, avoids subjective errors and uncertainties caused by manual operation, and improves the accuracy and reliability of the detection structure.

The utility model embodiment provides a kind of multi-stage flexible sorting device of egg, it is related to egg processing technical field, including conveying frame, the upper end of conveying frame is provided with detection part, detection part includes the mounting bracket of fixed installation in conveying frame one side and the detection head of setting in mounting bracket upper end, the other side of mounting bracket is provided with push material piece, push material piece is pushed by the push material cylinder of one side installation, by setting detection part on conveying frame, the size of egg and so on physical parameter are scanned and identified in real time using detection head, the grade of egg can be judged, effectively improve the accuracy and consistency of sorting, push material cylinder drives push material piece action, the egg of meeting specific grade is accurately pushed to discharge table, substantially improve sorting efficiency and the continuity of production line, realize multi-stage sorting, suitable for different specifications of egg classification processing.

The application discloses a kind of thermal power unit machine furnace electricity nonlinear coupling stability boundary identification method and system, belong to electric power system low-frequency oscillation analysis technical field.The application first builds the single-machine infinite simulation model integrated with the full-link nonlinear characteristics of machine furnace electricity, supports the continuous adjustment of system short-circuit ratio;Draw the interval of five kinds of core parameters, such as speed regulation, excitation, PSS, unit inertia coefficient, short-circuit ratio, generate multi-parameter traversal sample;Set power step change condition to carry out batch simulation, automatically judge the unit operating state based on the oscillation amplitude decay rate;Finally, fit the oscillation boundary of multi-dimensional parameter space, divide stable, critical and unstable area.The application can accurately obtain the oscillation operating boundary of thermal power unit under multi-parameter coupling, with high identification precision and strong automation, can provide quantitative basis for thermal power unit parameter setting and power grid operation mode optimization.

This invention relates to a method, apparatus, and medium for rapid sorting of poultry meat percentage based on X-ray imaging. The method includes: Step S1: acquiring X-ray images of the poultry to be tested; Step S2: identifying the sternal region and skin boundary based on the X-ray image; Step S3: drawing a normal at the sternal apex, obtaining the intersection of the normal at the sternal apex and the skin boundary as the first surface point, and obtaining the initial bone-skin distance based on the distance from the sternal apex to the first surface point; Step S4: obtaining the angle between the X-ray machine's visual axis direction and the normal direction of the first surface point as the consistency difference angle, obtaining the sternal integrity ratio and sternal principal axis attitude angle based on the sternal region, and correcting the initial bone-skin distance based on the consistency difference angle, sternal integrity ratio, and sternal principal axis attitude angle to obtain the corrected bone-skin distance; Step S5: obtaining the meat percentage grading result based on the corrected bone-skin distance. Compared with the prior art, this invention can achieve poultry meat percentage sorting based on X-ray imaging.

The utility model relates to soil taking device technical field discloses a shallow soil taking device for geotechnical investigation, including positioning piece, its layout is in sampling point, it is connected with sampling piece, and sampling piece adopts straight -push formula sampling, the surveying rod with scale is laid out in the upper end of positioning piece, the observation ring is slidably sleeved in the one end of surveying rod away from positioning piece, the fixed subassembly is laid out in the one end of sampling piece away from positioning piece, the connecting rod, and the observation ring and fixed subassembly are connected through connecting rod, and cutting assembly is laid out in sampling piece, and it is used for dividing sample and soil layer, the utility model discloses can let staff in the soil taking process can directly judge the depth of soil taking device insertion soil.

The invention discloses an information processing method, device and equipment for RAIR interpretation and a medium, relates to the technical field of medical instruments, is applied to a computer device, and comprises the following steps: determining a resting pressure parameter and a pressure baseline value before gas injection based on a pressure cloud picture corresponding to an anorectum pressure measurement process; a target time interval is determined according to the actual gas injection starting moment corresponding to the pressure cloud picture, and the minimum pressure value of each channel in the pressure cloud picture is positioned in the target time interval; determining a pressure relaxation interval of each channel based on the baseline value and the minimum value, and quantifying the pressure response of the sphincter by using the resting pressure parameter and the pressure relaxation interval to obtain a target quantitative feature; the target quantitative features and the gas injection dosage corresponding to the anorectum pressure measuring process are input into the target classification model, the RAIR interpretation result of the anorectum pressure measuring process is output, and the interpretation result represents whether RAIR exists in the anorectum pressure measuring process or not. The reliability and efficiency of RAIR interpretation can be effectively improved.

The application discloses a composite material large-curvature skin shape detection device and a detection method, and belongs to the technical field of large-curvature skin shape detection. The composite material large-curvature skin shape detection device comprises a base, a supporting assembly is connected to the middle part of the top end of the base, first rectangular sliding grooves are formed in the two ends of the supporting assembly, and fixing assemblies are installed in the inner cavities of the first rectangular sliding grooves. Through the combination transmission mode of the rotating wheel, the rotating belt and the bevel gear, synchronous linkage operation of automatic centering clamping of the two ends of the skin and automatic pressing detection of the detection mechanism is realized, the overall structure of the equipment is greatly simplified, the arrangement of power components is reduced, the equipment failure rate and manufacturing cost are reduced, the timing of the clamping action and the detection action is highly unified, the problems of clamping out of position, detection deviation and mechanism interference are avoided, and the stability and automation degree of the detection process are significantly improved.

The invention provides a method for training the visual clue-dependent positioning reward capability of animals by using an animal behavior training and testing system, and the system realizes that one set of system covers multiple types of experiments through the opening and closing logic of an access door of an adjusting arm, the reward region reward putting rule and the free conversion of visual clues. A visual clue-reward association learning scene is constructed, and animals are guided to establish memory association between clues and reward positions. A three-stage visual clue navigation and memory ability testing method is established, the memory retention ability associated with clue rewards is evaluated in the association stage, the spatial memory ability is independently evaluated in the blank stage, and the regulation and control mechanism of visual clues on animal spatial memory is analyzed in the non-association stage.