66results about How to "Fast extraction" patented technology

The invention discloses a transformer substation inspection robot positioning and mapping method based on point-line feature fusion. According to the method, a binocular camera is used for collecting point-line features in an image frame, and high-quality long-line features are quickly obtained based on an adaptive criterion optimized EDLines algorithm; the spatial depth of point-line features is obtained through triangularization of a binocular camera, and redundant line features are filtered based on a length response threshold strategy of the spatial depth of a transformer substation. Based on a point-line pole feature pole plane constraint method, IMU information and visual information are combined, gyroscope zero offset is independently estimated and optimized, IMU pre-integration information is updated, and a more accurate initial posture of the inspection robot is obtained. A point-line feature dictionary based on a transformer substation scene and a large-scale equipment target detection model in a transformer substation are made, closed-loop detection is performed through transformer substation equipment road signs and point-line features, and rapid relocation correction is performed on sliding windows of a current key frame and a previous fixed key frame number. And finally, the pose of the substation inspection robot and a substation scene map are optimized through global BA, and the problem of large-scale scene error drift accumulation is solved.

The invention provides a preparation method of a general flavone extract in abelmoschus manihot flowers, which comprises the following steps: A) crushing the abelmoschus manihot flowers, extracting with an alcohol solvent, filtering, and concentrating to obtain an extracting solution; b) purifying the extracting solution by adopting macroporous resin to obtain an eluent; and C) concentrating the eluent, and drying to obtain the traditional Chinese medicine composition. According to the method, diluted alcohol extraction and a high-speed homogenization-ultrasonic-assisted liquid phase extraction method (HSH-UAE) are adopted, so that the contact area of a solvent and the abelmoschus manihot flowers is increased, full contact of medicinal materials and the solvent is guaranteed, and flavonoid substances are dissolved more sufficiently, so that the extraction speed is increased, and the extraction efficiency is improved. Macroporous adsorption resin is selected for separation and purification, the purification effect is good, operation is easy, safety, no toxicity and no pollution are achieved, reuse can be achieved after slight treatment, and the production cost is effectively reduced. Compared with a traditional method, the method has the technical advantages that the extraction speed is high, the extraction yield is high, effective components are fully extracted and reserved, and the process is simple.

The invention discloses an organic extraction device for preparing an organic framework material, and relates to the technical field of extraction devices. Comprising an extraction tank, the extraction tank is provided with an upper feeding port, a lower feeding port, an upper discharging port and a lower discharging port, and fixing rings distributed in a linear array mode are installed in the extraction tank; the fixed shell is rotationally connected to the extraction tank; the plurality of first telescopic shells and the plurality of second telescopic shells are embedded in the fixed shell; the first turntable is in limited sliding connection with the fixed shell; and the second turntable is connected to the fixed shell in a limiting and sliding manner. By detecting the concentration of an organic component in a stock solution, when the concentration of the organic component is increased, the distance between the first turntable and the second turntable and the fixed ring is reduced, so that the flow area of liquid in the extraction tank is reduced, a higher shearing force is generated when the solution flows, the dispersion degree of liquid drops of the solution is increased, and the extraction efficiency is improved. The mixing speed of the stock solution and the extractant is accelerated, and the mass transfer efficiency is improved.

The invention discloses a method for extracting multi-layer peak values of an image based on an FPGA (Field Programmable Gate Array), which relates to the technical field of image processing and comprises the following steps of: inputting an image, inputting a high-speed image in an FPGA parallel mode, and setting that a plurality of pixels of a row of high-speed image are simultaneously input in each clock period; marking the peak value of the high-speed image, obtaining the complete peak value of the high-speed image by determining the starting point, the peak top and the end point of the peak value of the high-speed image, and marking the peak value of the high-speed image according to the starting point, the peak top and the end point of the peak value of the high-speed image; screening peak values, finding starting point marks for a plurality of pixels input at the same time in the same clock period according to a position sequence, ignoring other marks of subsequent parallel image pixels, only finding peak top marks, only finding peak end point marks after finding the peak top marks, and circularly selecting complete peaks according to a starting point, peak top and end point sequence of the peak values; the method can improve the peak identification accuracy, is small in noise interference degree, carries out parallel processing, and is high in efficiency and real-time performance.

The invention relates to a method for extracting impurities in wet-process phosphoric acid through impinging stream coupled ultrasonic wave intensified mixing, which comprises the following steps: by taking wet-process phosphoric acid as a water phase and an extracting agent system as an organic phase, respectively forming two jets from the water phase and the organic phase for impinging and carrying out mixed extraction, meanwhile, ultrasonic waves are applied to strengthen the mixed extraction process of the water phase and the organic phase, then liquid separation is conducted, and purified phosphoric acid and the loaded extraction agent are obtained. The extraction process is enhanced in an impinging stream coupling ultrasonic wave mode, and enhanced dispersion and mixing of wet-process phosphoric acid and the extraction agent are facilitated, so that impurities in wet-process phosphoric acid are effectively removed.

The invention relates to the technical field of water environment monitoring equipment, and discloses an ecological wetland water environment monitoring device and a use method thereof.The ecological wetland water environment monitoring device comprises an equipment shell, and the side wall of the equipment shell is fixedly connected with a plurality of driving frames. According to the water sampling device disclosed by the invention, an electric telescopic rod drives a pushing telescopic rod at one end of a driving frame to downwards drive a water inlet piston to downwards slide along a sampling barrel, and the water inlet piston downwards slides to empty water in the sampling barrel; water at the depth is quickly sucked into the sampling barrels by negative pressure generated in the collecting barrels, so that the water sample extraction speed of the device can be increased, and the device can collect water samples at different depths by arranging a plurality of sampling barrels with different lengths; when a water sample is collected into the sampling barrel, the electric telescopic rod lifts the pushing telescopic rod on the driving frame upwards, and the pushing telescopic rod drives the water inlet piston to lift the water sample in the sampling barrel into the collecting barrel.

The invention discloses a space-based / space-based graph multi-level off-road network extraction system and method. The system comprises an image acquisition module for acquiring a target image; the semantic extraction module performs attachment coefficient semantic classification and road network extraction on the target image to obtain an attachment coefficient classification graph and a semantic road network graph, and different attachment coefficients represent different earth surface types; the morphological processing module generates a topological structure diagram of the target image by using a morphological method; and the result output module outputs a semantic road network diagram, a topological structure diagram and an attachment coefficient classification diagram. The invention relates to the field of artificial intelligence, and utilizes the advantages of strong interactivity and strong data fitting ability of a generative deep network to realize efficient automatic extraction of an off-road network in an unknown environment and improve the extraction precision, and the hierarchical road network can reduce the problems of discontinuous global reference road network and traffic limitation caused by shielding and identification errors, thereby improving the accuracy of the off-road network extraction. Passing guiding information is provided for local planning, and the autonomous ability under the complex terrain is improved.

The invention discloses a drug taking detection method and device, a storage medium and equipment, and belongs to the field of biological feature recognition. The method comprises the following steps: firstly, acquiring at least one first image sequence containing a face image and at least one second image sequence containing an iris image; then acquiring micro-expression features according to the first image sequence, and acquiring iris texture features according to the second image sequence; and finally, performing drug taking judgment on the detected object according to the micro-expression features and the iris texture features. According to the invention, through fusion analysis of the face micro-expression features and the iris texture features of the detected object, whether the detected object takes drugs or not is comprehensively judged, and the accuracy of drug taking detection is improved. Moreover, non-contact drug taking detection is adopted, cooperation of a detected object is not needed, drug taking detection can be carried out under the condition that the detected object is non-inductive, and the method can adapt to different anti-drug detection environments.

The present invention discloses a passion fruit processing device. The passion fruit processing device comprises a frame, a feeding mechanism, a cutting mechanism and a juice extraction mechanism; a plurality of processing stations are arranged on the frame; the plurality of processing stations comprise a feeding station, a cutting station and a juice extraction station arranged in sequence along the horizontal direction of the frame; the feeding mechanism is arranged on the frame; the cutting mechanism is arranged on the frame and located at the cutting station; the juice extraction mechanism is arranged on the frame and located at the juice extraction station; wherein the feeding mechanism comprises a feeding barrel structure movably arranged on the frame for loading passion fruit, and a feeding drive structure connected to the feeding barrel structure, and the feeding drive structure is used to drive the feeding barrel structure to transfer in sequence between the plurality of processing stations. The technical solution provided by the present invention can realize the automatic extraction of passion fruit juice and effectively improve the juicing efficiency.

The invention discloses a device for extracting celery jelly liquid, comprising an outer cylinder, a driving screw and a water tank, wherein the driving screw is arranged in a containing cavity, and the driving screw is provided with a first feeding section, a first dispersing section, a second feeding section, a grinding section, a third feeding section, a second dispersing section and a discharging section in sequence along its length direction; the water tank is arranged around the outer peripheral wall of the outer cylinder, and the water tank and the outer cylinder together form a sealed water storage cavity; the peripheral wall of the first dispersing section is provided with a recess, and a plurality of stirring rods are arranged in the recess, the inner wall of the outer cylinder is provided with a guide ring, the grinding section is provided with a first grinding disc, and the inner wall of the outer cylinder is provided with a second grinding disc parallel to the first grinding disc. The invention adopts screw extrusion to extract celery jelly liquid, has a fast extraction speed, a high degree of automation, a small number of processes, can be operated continuously, has a high energy utilization rate, is convenient for large-scale industrial production, and has little damage to the active substances in the celery jelly, does not need to be concentrated after extraction, and is convenient for transportation to a consumption place for dilution and use.

The present invention relates to the technical field of raw material extraction, and more specifically to a process for extracting raw materials for cosmetics. The process comprises the following steps: step 1, adding animal fat into an extraction device to extract the fat in the animal fat; step 2, performing oil-water separation treatment on the extracted fat to complete the separation of liquid animal fat and water; step 3, performing acid treatment on the liquid animal fat; and step 4, performing cooling treatment on the acidified liquid animal fat to complete the extraction of the animal fat as the raw material for cosmetics. The process can quickly process the animal fat, and further accelerate the extraction speed of the oily raw material for cosmetics.

The present invention discloses an image recognition method, device, equipment and storage medium, and relates to the field of image processing technology. The present invention includes a camera, an image recognition device and a display module, wherein the image recognition device includes, obtaining a sample image and a corresponding recognition result; filtering the sample image using a series of filters to obtain image component features of each sample image in multiple frequency bands; inputting the multiple image component features and the corresponding recognition results of each sample image into the input layer and output layer of different recognition networks according to the corresponding different frequency bands and training and converging to obtain a recognition network for each frequency band; obtaining a target image; extracting the image analysis features of the target image in order from low to high according to the frequency band; inputting the image analysis features of the target image in order from low to high according to the corresponding frequency size into the input layer of the recognition network of the corresponding frequency band until the recognition result of the target image is obtained. The present invention takes into account both the accuracy and speed of image recognition.

The invention discloses a medicine extracting and mixing device for preventing cow mastitis, which belongs to the technical field of medicine extraction and comprises an extracting barrel, a servo motor, a rotary column and a medicine cylinder. A spiral resistance heating wire is fixedly connected to the inner wall of the extraction barrel, a machine cover is fixedly connected to the bottom of the extraction barrel, a servo motor is used for driving a rotating column to rotate, a supporting cover and a lantern ring are fixedly connected to the rotating column, a medicine cylinder is movably inserted into the supporting cover and the lantern ring, first filter screens are evenly and fixedly connected to the circumference of a side plate of the medicine cylinder, and the medicine cylinder is used for containing traditional Chinese medicinal materials. The traditional Chinese medicine decocting device has the beneficial effects that traditional Chinese medicines are contained in the medicine cylinder, in the traditional Chinese medicine decocting process, the servo motor drives the medicine cylinder to rotate, and liquid is extracted and conveyed into the medicine cylinder, so that the traditional Chinese medicines are in the continuous movement process, the extraction speed of effective components in the traditional Chinese medicines is increased, and after decoction is completed, the effective components in the traditional Chinese medicines are effectively extracted. The medicine residues can be poured out by directly taking down the medicine cylinder, filtering and separating operation of the medicine residues is not needed, and efficiency is improved.

The invention relates to the technical field of traditional Chinese medicinal material processing, in particular to a traditional Chinese medicinal material crushing and alcohol extraction integrated device. The device comprises a base and an extraction tank fixed at the top of the base. Through the structural design of the extraction tank, the pretreatment mechanism and the grinding mechanism, the device realizes organic combination of crushing and alcohol extraction in the processing process of traditional Chinese medicinal materials, can ensure that the traditional Chinese medicinal materials can be fully crushed and the cell walls of the medicinal materials are effectively damaged, so that the effective components in the traditional Chinese medicinal materials are released to the greatest extent, and the extraction efficiency is improved; through the structural design of the uniform mixing mechanism, the device is matched with vibration generated by an ultrasonic transducer to enable a solvent to continuously flow, so that the solvent can continuously make contact with the traditional Chinese medicinal materials, cell walls can be broken under the cavitation action of ultrasonic waves, and the yield and quality of the traditional Chinese medicinal materials are improved; active ingredients in cells can be more easily released into the solvent, so that the extraction speed is accelerated.

The present invention discloses a printing system, a printing method and a storage medium for regional printing, wherein the printing method comprises the following steps: S1: opening a capture function in a printing software, and manually selecting a picture area to be captured; S2: calculating the position where the picture after capture starts to read the original picture data; S3: reading and copying data, and reading data line by line from the original image data with the starting position as a reference point; S4: printing the captured PRN picture; the present invention intelligently identifies image content through a deep learning algorithm, provides users with the best capture suggestions, allows users to easily select the most suitable capture area, improves the accuracy and integrity of the captured image, introduces a virtual reality interface and voice control functions, improves user experience, allows users to perform capture operations in a virtual environment, reduces manual operation requirements, and increases operational convenience.

The invention discloses a specified cluster harmonic extraction method, system and device, and a storage medium. The method comprises the steps of obtaining a three-phase to-be-measured discrete signal in a power system; converting the three-phase discrete signal to be measured into a signal to be measured under a two-phase static coordinate system; inputting the to-be-measured signal into a comb filter, and filtering each frequency harmonic component to obtain a processed signal; inputting the processed signal into an improved undamped vector digital oscillator, and restoring and extracting a harmonic signal corresponding to each frequency; inputting the corresponding parameters into the harmonic signal of each frequency, adjusting the amplitude and the phase of the comb filter in the filtering process, ensuring that the amplitude and the gain of the frequency spectrum of the harmonic signal are consistent, and completing harmonic extraction; according to the invention, the harmonic extraction speed is improved, and rapid harmonic extraction is realized.

The present invention belongs to the technical field of synchronous positioning and map creation, and discloses a visual odometer method based on illumination suppression, comprising the following steps: step S1, collecting image information, and using a neural network fused with highlight attention to extract feature information from the image information and suppress highlight areas; step S2, using a feature extraction network to extract feature points and feature maps that are robust to illumination changes; step S3, using a feature extraction algorithm based on average grayscale value to supplement feature points in sparse scenes; step S4, using a multi-layer optical flow tracking algorithm to track feature points, and calculating poses based on tracked feature points. The present invention can maintain a certain degree of dynamic response capability, thereby enhancing the network's processing capability for illuminated scene images and improving the tracking stability of the SLAM system in illuminated scenes.

The invention discloses a power network communication data encryption method and system, and the method comprises the steps: obtaining power network communication data which comprises all shared communication data of all power system information terminal equipment clusters; according to the method, abnormal value deletion and missing value filling are carried out on acquired power network communication data, power data are segmented and keyword extraction is carried out at the same time, the extracted keywords form a set, a risk matching model is preset in a power system, and the risk matching model is used for matching the risk of the power network communication data. The keyword set is input into the risk matching model to obtain the matching value, the data with the lower matching value is encrypted at a low level, and the data with the lower matching value is not sensitive data of the power enterprise and cannot bring risks to the enterprise even if being stolen, so that the data with the higher matching value is encrypted at a high level by adopting a mode of only disorganizing the data, and the data with the higher matching value is encrypted at a high level; the high-level encryption in the invention is a dual encryption mode, so that lawbreakers are difficult to steal.

The present invention relates to the field of deep learning technology, and specifically to a lightweight deep learning network model with an attention mechanism, a feature extraction method, a device and a storage medium. It includes: a basic convolution module, a feature extraction module, a dimension transformation module, and a classification probability output module. Among them, the feature extraction module includes a plurality of feature extraction submodules connected in series. When the network model of this embodiment is used to extract image feature information, a plurality of feature submodules can perform multi-scale spatial feature extraction on the image, so that multiple state information can be extracted at the same time, and the accuracy of feature extraction is improved under the premise of lightweight model.

The invention relates to the technical field of chemical separation, and particularly discloses an extraction tower which comprises an extraction tower body, a plurality of sieve plates are horizontally mounted on the inner wall of the extraction tower body; a light liquid outlet, a heavy liquid inlet, a light liquid inlet and a heavy liquid outlet are sequentially formed in the outer wall of the extraction tower body from top to bottom; the light liquid outlet and the heavy liquid inlet are positioned at the tops of the sieve plates; the light liquid inlets and the heavy liquid outlets are positioned at the bottoms of the sieve plates; a vibration mechanism capable of driving the plurality of sieve plates to vibrate is arranged in the extraction tower body; the sieve plate is driven to vibrate through the vibrating mechanism, so that the effect of vibrating and mixing two-phase liquid above the sieve plate is achieved, the dispersing and mixing effect of the two-phase liquid is improved, and the extraction speed is increased.

The application discloses a writing content extraction method, device and equipment and a storage medium. The method comprises the following steps: acquiring an image of a writing medium; performing a grayscale processing on the image of the writing medium to obtain a writing content image; using a statistical method to perform an adaptive threshold binaryzation on the writing content image to obtain a mask image of background and writing content binaryzation; extracting writing content in the image of the writing medium according to the mask image and outputting a result image containing only the writing content; and obtaining a binaryzation threshold of a target region based on a grayscale value clustering of the target region. The application optimizes the process of writing extraction for the scene of a blackboard or a whiteboard, reduces the probability of writing false detection or omission, improves the precision of writing content extraction, and quickly obtains a binaryzation threshold grayscale, thereby improving the speed of writing extraction.

The utility model discloses a paper pulp hot-press forming mold and a hot-press forming mold mounting assembly. The hot press forming mold mounting assembly comprises an aluminum alloy base, a lower mold frame fixed to the top end of the aluminum alloy base, a hydraulic rod arranged at the top end of the aluminum alloy base, an aluminum alloy top plate connected to the top end of the hydraulic rod and a mold upper frame connected to the bottom face of the aluminum alloy top plate. A hot-press forming die assembly, the hot press forming die assembly comprises a die inner cavity formed in the lower die frame, a breathable steel layer frame welded in the die inner cavity, an air exhaust hole formed in the bottom face of the aluminum alloy base and an air exhaust outer frame arranged below the air exhaust hole. The exhaust pipes are communicated with the two sides of the exhaust outer frame; and the rectangular notch is formed in the bottom surface of the aluminum alloy base.

The utility model relates to the technical field of secondary treatment of chlorophyll waste liquid, in particular to a secondary treatment device for the chlorophyll waste liquid, which is provided with a stirring mechanism and a cleaning mechanism, so that in the secondary treatment process of the chlorophyll waste liquid, not only can the processing efficiency of materials be improved, but also equipment can be cleaned, and the processing quality is improved. Comprising an extraction mechanism; the device further comprises a stirring mechanism, a temperature control mechanism, a liquid discharge mechanism and a cleaning mechanism, the stirring mechanism is mounted on the extraction mechanism, the temperature control mechanism is mounted on the extraction mechanism, the liquid discharge mechanism is mounted at the lower end of the extraction mechanism, and the cleaning mechanism is mounted at the upper end of the extraction mechanism; the extraction mechanism is used for extraction, the stirring mechanism is used for stirring, the temperature control mechanism is used for temperature control, the liquid discharge mechanism is used for liquid discharge, and the cleaning mechanism is used for cleaning.

The present invention discloses a vortex oscillation device, which belongs to the technical field of oscillation devices. The vortex oscillation device comprises: an oscillation component, comprising an oscillation platform, the oscillation platform can perform eccentric rotational motion; a heating component, arranged on the oscillation platform, the oscillation platform can drive the heating component to perform eccentric rotational motion, a cell culture plate for placing a sample can be placed on the heating component, and the heating component can heat the cell culture plate. The present invention can quickly complete the collection of sample DNA.

The utility model belongs to the technical field of traditional Chinese medicine extraction equipment, and provides a three-dimensional steam distribution extraction tank for traditional Chinese medicine extraction, which is mainly composed of an extraction tank body, an inner-layer tank body and a unique steam conveying structure, and the steam conveying structure comprises a steam generator, a multi-layer multi-way valve, a micro pump and a surrounding steam nozzle. Three-dimensional uniform distribution of steam can be achieved, materials can be heated in all directions, the extraction efficiency and the effective component extraction rate are greatly improved, the inner-layer tank body is matched with the outer-layer jacket to achieve heat preservation in the heating process, an internal stirring structure promotes the materials and steam to be fully mixed, in addition, the equipment is provided with a steam monitoring instrument and a control device, accurate regulation and control are convenient, and the equipment is suitable for popularization and application. And a pressure release valve is arranged to guarantee safety. The extraction tank is simple to operate, convenient to maintain and suitable for extracting various traditional Chinese medicines.

The invention relates to a lane identification and warning board control method based on an improved Canny algorithm. The method comprises the following steps: firstly, acquiring a real-time lane image, and carrying out graying processing on the real-time lane image; carrying out smoothing processing on the grayed lane image by adopting bilateral filtering; then, calculating an edge gradient of the smoothed lane image based on an edge enhancement operator; then, detecting and positioning edges by using double thresholds, and extracting lane lines; and finally, based on the information of the lane line, the placement and automatic return of the warning board are controlled in combination with an improved PID (Proportion Integration Differentiation) algorithm. In other words, after gray preprocessing is carried out on a real-time image, Sobel operator edge enhancement in eight directions is carried out, the Sobel operator is doubled, the edge positioning effect after filtering is improved, then lane line extraction is carried out through the Canny algorithm, and the accuracy of lane line detection under the complex road condition is improved.

The application discloses a dynamic redundancy robust digital blind watermarking method and system, and relates to the technical field of image data processing. The method embeds watermark information into pixel data (robust channel) and metadata (fast channel) of a carrier image simultaneously through a double embedding strategy. When the watermark is extracted from the carrier image subjected to geometric attacks, the system firstly attempts to extract from the metadata; if the fast extraction fails, the system automatically switches to the pixel domain for robust extraction. The method comprises the following steps: optimizing and packaging the data to be embedded; embedding the packaged data stream into the pixel and writing the compressed watermark data into the metadata; and adopting the aforementioned double-channel extraction strategy for extraction. The design effectively avoids the defects of simply relying on spatial synchronization, and significantly improves the extraction performance and reliability of the watermark system under geometric attacks.

The invention discloses an active vibration suppression method for random frequency mixing of a three-phase surface-mounted permanent magnet motor, and the method comprises the steps: firstly carrying out the LMS and peak estimation of a real domain signal collected by a vibration acceleration sensor in a segmented manner with the step length of 1Hz, and finally obtaining a series of peak radial vibration frequencies x1, x2, x3... xk; establishing a current injection model under a rotating coordinate system, and for each peak radial vibration frequency xk, calculating a positive-sequence symmetric current of xk + f frequency and injecting the positive-sequence symmetric current into the model; combining and injecting all obtained frequency current injection models into the rear end of a current loop PI regulator, and obtaining the vibration of each peak frequency; multi-target vibration deep learning is carried out on the vibration of each peak frequency to obtain an optimal frequency mixing current, and the motor frequency is adjusted to realize active vibration suppression; according to the comprehensive vibration suppression algorithm based on vibration feedback, the coupling problem of vibration of each frequency generated by multi-frequency current is solved, the vibration suppression effect is improved, the stability and the anti-interference capability of the system are enhanced, and the method is easy to implement.

The invention discloses an AI algorithm-driven wiring layer parameterized structure 2.5-D parasitic capacitance extraction method, relates to an integrated circuit EDA technology, and provides a scheme for solving the problems of slow solving and the like in the prior art. For the INPUT file with the known pattern type, AI Model is used for solving the INPUT file with the known pattern type; a BEM field solver is used for solving an INPUT file of an unknown pattern type, meanwhile, all parameterization features of the unknown pattern type are automatically extracted, dimensionality reduction is automatically conducted on the all parameterization features through a principal component analysis method, parameterization structure feature vectors of the unknown pattern type are obtained, and then the parameterization structure feature vectors of the unknown pattern type are obtained. And calling a layout pattern generator capable of adding process fluctuation to generate training data of the unknown pattern type, training the ANN model of the unknown pattern type, updating a training result to the AI Model, and converting the unknown pattern type into a known pattern type. The method has the advantages that each sampling point can be extracted, the AI Model library is automatically improved, and the unknown pattern type is converted into the known pattern type, so that the parasitic capacitance extraction speed is gradually accelerated.