13results about How to "Improve discrimination efficiency" patented technology

The invention belongs to the technical field of AI image recognition, and particularly relates to a visualization method and system based on AI image discrimination, a terminal and a storage medium, and the method comprises the steps: S1, obtaining the actual type of a target object, and carrying out the regional processing of the target object according to the actual type; s2, acquiring actual view information of each sub-region through AI imaging equipment; s3, performing optimization preprocessing on the actual view information to obtain preprocessed view information; s4, extracting and processing the preprocessed view information to obtain actual image features; and S5, comparing the preprocessed view information with the actual image features through an AI image recognition technology to obtain a comparison result. According to the method, a large amount of complex image data can be automatically identified and analyzed, the need of manual intervention is reduced, the data processing efficiency is remarkably improved, and the learning and adaptive capacity of the system to new conditions is also enhanced.

The invention discloses a valve leakage detection method, which comprises the following steps of: acquiring an acoustic emission signal of a pressure pipeline by using an acoustic emission sensor and amplifying the acoustic emission signal; respectively carrying out signal noise reduction processing and leakage signal feature extraction on the amplified acoustic emission signal and the non-leakage acoustic emission signal to correspondingly obtain noise-filtered leakage acoustic emission data and normal acoustic emission data; inputting the normal acoustic emission data into the GRU model to obtain prediction data, and determining a confidence rate value according to a difference value between the prediction data and real data; respectively inputting the normal acoustic emission data and the leakage acoustic emission data into the GRU model, calculating to obtain a normal difference value and a leakage difference value, and respectively comparing the normal difference value and the leakage difference value with confidence rate values to obtain a normal confidence rate and a leakage confidence rate; and calculating a difference value between the normal confidence rate and the leakage confidence rate to obtain a confidence rate difference value, if the confidence rate difference value is smaller than a preset value, judging that leakage does not occur, otherwise, judging that leakage occurs. Real-time and accurate detection of internal leakage of the valve is realized.

The invention discloses an analog quantity sampling source end data error correction and prevention system and method. The system comprises an ADC chip, an ADC digital interface module and an error data detection and recovery module. The ADC chip is used for converting an acquired analog signal into a digital signal and inputting the digital signal into the ADC digital interface module; the ADC digital interface module is used for repeatedly sending two groups of complete digital sampling signals which are read from a digital interface of an ADC chip and have the same content but different sequences to the error data detection and recovery module through two independent interface data output channels, wherein each digital sampling signal with different sequences is read from the digital interface of the ADC chip; and the error data detection and recovery module performs error detection and / or recovery processing on the digital sampling signals uploaded by the two interface data output channels respectively, and transmits the recovered correct digital sampling signals to the corresponding application function modules. According to the invention, real-time error detection and error correction of ADC sampling data can be realized, and a fault-tolerant effect on accidental data damage when an ADC chip operates in a complex electromagnetic environment is achieved.

The application provides a pre-tailings discarding mode distinguishing method based on useful mineral dissemination characteristics, and relates to the field of mineral processing. The pre-tailings discarding mode distinguishing method based on useful mineral dissemination characteristics comprises the following steps: preparing a plurality of optical sections from an ore sample; analyzing the optical sections by using an optical microscope and an image analysis technology, and classifying the dissemination characteristics of useful minerals in the optical sections; calculating the average occupancy of local enrichment type in all optical sections, the average occupancy of vein type in all optical sections, and calculating a pre-enrichment proportion Pvalid; comparing the pre-enrichment proportion with a preset threshold value, and if Pvalid is greater than or equal to the preset threshold value, it is determined that the ore sample is suitable for pre-enrichment by using a pre-tailings discarding process. The prediction conclusion of the method of the application is highly consistent with actual industrial test and production data, has the advantage of high accuracy, solves the problem that the pre-discarding effect can only be detected by test, and is beneficial to improving work efficiency and reducing cost.

The invention discloses a financial bill intelligent classification method and device based on artificial intelligence. The method comprises the following steps: receiving a financial bill image; inputting the financial bill image into a pre-trained convolutional neural network model, and outputting a financial bill category; the convolutional neural network model comprises a residual feature encoder and a classifier; the residual error feature encoder is used for extracting a layout topological structure and a landmark pattern of the financial bill image; the classifier is used for determining the type of the financial bill by using the layout topological structure and the landmark pattern; and the landmark pattern reflects the category and authenticity of the financial bill. According to the invention, the accuracy, robustness and efficiency of financial bill distinguishing can be improved.

The invention discloses a PS-SDOCT contrast improving method and system fusing multiple depolarization parameters, and the method comprises the steps: inputting four polarization states into a PS-SDOCT system, obtaining horizontal and vertical component graphs according to a CCD, reconstructing a Stokes component, and carrying out the calculation to obtain an image of 16 elements of a Mueller matrix of a to-be-detected sample; calculating a plurality of polarization and depolarization parameter images by using a Mueller matrix model established by combining a propagation path of light in a medium and a method for analyzing a relationship between component matrixes in classical decomposition and polarization decomposition of the Mueller matrix; and formulating a specific polarization parameter identification group of the sample according to the sensitivity of the polarization and depolarization parameters to the microstructure of the sample. According to the method, the problem of low polarization detection accuracy caused by a single polarization parameter analysis method is solved, and the image contrast can be effectively improved.

The invention discloses a female end assembly machine which is characterized in that a first material belt is fixed to a first material disc, and female end bodies distributed at equal intervals are fixed to the first material belt; the first feeding mechanism drives the first material belt to move on the working face in the first direction. A plurality of insertion pipes are accommodated in the vibration disc, and the output end of the vibration disc outputs the insertion pipes in the unified direction; one end of the second feeding mechanism communicates with the output end of the vibration disc, and the other end of the second feeding mechanism extends towards one side of the first feeding mechanism. The first ejection mechanism pushes the insertion pipe to be inserted into the matching part of the female end body; the second ejection mechanism pushes the insertion pipe to be matched and fixed with the matching part; the riveting mechanism is used for riveting the joint of the insertion pipe and the matching part; the second material disc collects the first material belt on which the insertion pipe is fixed in a riveting manner; by means of automatic setting, compared with manual operation, both efficiency and safety are guaranteed, one worker can control multiple devices, and the labor cost is greatly reduced.

The present invention discloses a female end assembly machine, comprising: a first material tray fixed with a first material belt, the first material belt fixed with a female end body distributed at equal intervals; a first feeding mechanism drives the first material belt to move along a first direction on a working surface; a vibration disk accommodates a plurality of plugs, and an output end of the vibration disk outputs the plugs in a uniform direction; one end of the second feeding mechanism is connected to the output end of the vibration disk, and the other end of the second feeding mechanism extends toward one side of the first feeding mechanism; a first ejecting mechanism pushes the plug to be inserted into the matching part of the female end body; the second ejecting mechanism pushes the plug to be matched and fixed with the matching part; a riveting mechanism rivets the connection between the plug and the matching part; a second material tray collects the first material belt fixed with the plug by riveting; through the automated setting, compared with manual operation, both efficiency and safety are guaranteed, and one person can control multiple devices, greatly reducing labor costs.

The application discloses a CRTSII type track slab upwarp stability discrimination method, which comprises the following steps: establishing a two-dimensional numerical calculation model of the CRTSII type track slab; combining different adverse influence factors to form a calculation condition, and calculating the track slab allowable temperature amplitude under the upwarp allowable vector condition of the calculation condition by using the two-dimensional numerical calculation model; establishing a sample database according to the calculation condition and the track slab allowable temperature amplitude, constructing a regression model between the adverse influence factors and the slab body allowable temperature amplitude by using a regression analysis method, and improving the regression model; and judging the CRTSII type track slab upwarp stability according to the improved regression model, the measured value of the adverse influence factors and the actual maximum temperature amplitude of the track slab. The application accurately simulates the adverse influence factors of the CRTSII type track slab, establishes a representative sample database, and improves the accuracy and efficiency of the CRTSII type track slab upwarp stability discrimination through the improved regression model.

The utility model relates to the technical field of notebook computers, and particularly discloses a notebook computer hardware vibration polishing machine which comprises a first elastic mechanism and a second elastic mechanism. The first elastic mechanism is fixedly connected with a first fixed seat; the first fixed seat is sleeved with an electric push rod; the upper end of the electric push rod is fixedly connected with a second fixed seat; the second fixing base is movably connected with a protruding plate. Abrasive materials and hardware to be polished are poured into one side space in a polishing containing cavity, then an electric push rod is controlled to stretch, the polishing containing cavity is inclined, then a vibration motor is started, the abrasive materials and the hardware are polished in the polishing containing cavity, and after polishing is completed, the electric push rod is started to lower the height of a polishing container, so that the hardware inclines downwards; the partition plate is matched with the filtering holes to filter out grinding materials, only the hardware is left in the polishing containing cavity on one side, and therefore the function of automatically distinguishing the grinding materials from the hardware is achieved, and the distinguishing efficiency is improved when a large number of small-size hardware is polished.

The application discloses a wide-area low-altitude non-cooperative target real-time discrimination method based on self-supervised incremental learning, and belongs to the technical field of radar target recognition and air traffic surveillance. Firstly, the radar track cluster of the ground-to-air radar and the cooperative target track cluster of ADS-B are acquired, and the neighborhood context spatio-temporal consistency dynamic time warping method is used for hetero-frequency track similarity measurement and cross-threshold nearest neighbor matching. The matching result is used as self-supervised information to construct a discrimination network based on the Transformer Encoder, the robustness is enhanced through random ordering of the track cluster, and the model is evolved autonomously through incremental learning. Finally, combined with GPU parallel computing, end-to-end fast reasoning with a time complexity of O (N) is realized, and the cooperative / non-cooperative attributes of each radar target are output. The application does not need manual labeling, can accurately match hetero-frequency tracks, significantly improves the real-time performance, accuracy and dynamic adaptability of non-cooperative target discrimination, and can be widely deployed in low-altitude traffic control systems.

The invention provides a method for judging a tailing pre-discarding mode based on dissemination characteristics of useful minerals, and relates to the field of mineral processing. The method for judging the tailing pre-discarding mode based on the dissemination characteristics of the useful minerals comprises the following steps: preparing a raw ore sample into a plurality of polished sections; analyzing the X-ray plate by using an optical microscope and an image analysis technology, and classifying the dissemination characteristics of useful minerals in the X-ray plate; calculating the average occupancy of local enrichment types in all the polished sections and the average occupancy of pulse types in all the polished sections, and calculating a pre-enrichment ratio Pvalid; and comparing the pre-enrichment proportion with a preset threshold value, and if the Pvalid is greater than or equal to the preset threshold value, judging that the raw ore sample is suitable for pre-enrichment by adopting a pre-tailing-discarding process. The prediction conclusion of the method is highly matched with the actual industrial test and production data, the method has the advantage of high accuracy, the problem that the pre-polishing effect can only be detected through the test is solved, the working efficiency is improved, and the cost is reduced.

The utility model provides a rain and sewage diversion judgment device which comprises a shell, and a mixed flow port, a judgment port, a sewage port and a gutter inlet which are respectively arranged on the shell and communicated with the interior of the shell, and is characterized in that a judgment chamber is arranged in the shell and communicated with the interior of the shell while being communicated with the judgment port; according to the invention, the mutually connected discrimination components are arranged in the shell and the discrimination chamber, the discrimination components can automatically control the opening and closing of the sewage port according to the liquid level position in the discrimination chamber, and the discrimination components are partially arranged in the discrimination chamber, so that the discrimination components in the discrimination chamber are only in contact with rainwater and are prevented from being in contact with sewage as far as possible; therefore, the applicable cleanliness of the distinguishing piece is further improved, the service life of the distinguishing piece is prolonged, the distinguishing efficiency is improved, the distinguishing piece can float to drive the sewage port to be closed and the gutter inlet to be opened only through small-flow rainwater, the rainwater and sewage diversion effect can be effectively achieved even in small-flow rainfall weather, and the rainwater and sewage diversion efficiency is improved.