1100results about How to "Quick filter" patented technology

The invention discloses a traffic accident identification method based on unsupervised pre-training and a multi-modal large model, and the method comprises the following steps: S1, collecting and sorting video data in a traffic monitoring scene, selecting a video clip without a traffic accident as a data sample, extracting a video key frame, carrying out the unsupervised pre-training of a mask auto-encoder, and carrying out the unsupervised pre-training of the mask auto-encoder; reconstructing a video clip which is shielded randomly; s2, calculating a reconstruction error between the original video and the reconstructed video to evaluate the reconstruction quality, and screening out key frame video clips with poor reconstruction quality; according to the invention, through unsupervised training of the mask auto-encoder, even under the condition of limited annotation data, more traffic accident-free segments can be filtered, video segments in which traffic anomalies possibly exist can be rapidly screened out, and by constructing fine-tuning training of multi-modal traffic data on a multi-modal large model, the real-time performance of the model is improved. The method can improve the recognition accuracy and efficiency of a traffic accident in a complex scene, provides real-time alarm and detailed analysis, and takes countermeasures in time.

The invention relates to the technical field of molecular markers, and discloses an SNP (Single Nucleotide Polymorphism) molecular marker related to the litter size character of pigs and application of the SNP molecular marker. The SNP molecular marker is located at a 34977540bp site of a chromosome 2 of an international pig reference genome Sscrofa11.1 version, and the nucleotide sequence of the site is G or A and is located in an exon region of an LUZP2 gene. The invention also discloses an application of the SNP molecular marker in breeding of the litter size character of the boar, and provides a method for breeding or auxiliary breeding of the boar with high / low litter size based on the marker. The invention also provides a specific primer for identifying the SNP site. By applying the technologies, accurate prediction and efficient screening of the litter size of the large white pigs can be achieved, the breeding efficiency of excellent breeding pigs is remarkably improved, and the population improvement process is accelerated. The invention also provides important technical support for sustainable development of pig raising industry, also provides theoretical basis for research in related fields, and is expected to promote further development of pig genetic improvement work.

The invention discloses an Indel molecular marker for identifying a ricefield eel strain in the southwest region. The nucleotide sequences of the Indel molecular marker are respectively shown as SEQ ID NO: 9-12 or SEQ ID NO: 13-16. The invention also provides a primer pair for amplifying the Indel molecular marker. By adopting the Indel molecular marker primer pair provided by the invention to amplify genome DNA of ricefield eel strains in different regions, the ricefield eel strains in the southwest region can be quickly screened out according to amplified fragments. When the Indel marker provided by the invention is applied to practice, the genetic identification of the ricefield eel strain in the southwest region can be quickly realized, the domestication breeding of wild germplasm resources can be accelerated, and the precise breeding can be realized.

The invention discloses a molecular marker for detecting a gibberellic disease resistant QTL (Quantitative Trait Loci) QFhb-yaas-4AL and application of the molecular marker. Genotype data are obtained by utilizing a Wheat16K wheat high-throughput gene chip, a QTL locus QFhb-yaas-4AL which is derived from a resistant material and is related to the resistance of the gibberellic disease is detected, and a KASP marker and a detection primer group thereof are developed and are used for efficiently screening the resistance of the gibberellic disease. The primer group disclosed by the invention is used for performing PCR amplification on wheat genome DNA, whether a gene with high gibberellic disease resistance of a resistant material is carried or not can be directly judged through KASP typing, the detection method is simple to operate, the detection result is very intuitive, the detection effect is obvious and effective, and the primer group can be widely applied to the field of genetic engineering. When the molecular marker is used for screening, the working efficiency of molecular marker-assisted selection of wheat breeding with high and low gibberellic disease resistance can be greatly improved.

The invention discloses an application of a GHERF114 gene in regulating and controlling salt stress tolerance and drought stress tolerance of a plant. The ID (Identity) of the gene is GHA05G2445. According to the invention, an arabidopsis thaliana homozygous line over-expressing the GHERF114 gene is obtained through a transgenic technology; through phenotypic change after salt stress treatment and drought stress treatment, leaf wilting degree, rosette leaf size and form comparison, in-vitro leaf water loss rate, leaf relative water content, chlorophyll content and the like verification, it is indicated that the tolerance of transgenic arabidopsis thaliana to salt stress and drought stress is remarkably reduced, and a TRV: GHERF114 gene silent plant is obtained through a VIGS technology; compared with a control group after salt stress and drought stress treatment, the salt tolerance and the drought resistance of silent plants are remarkably improved. Results show that the GHERF114 plays an important role in plant salt stress and drought stress response processes, has important significance in breeding and research for improving salt tolerance and drought tolerance of cotton, and can be applied to screening of stress-resistant cotton varieties through a gene knockout technology.

The invention provides a financial information management method and system based on a block chain technology. The method comprises the following steps: receiving a financial transaction request initiated by a user, and performing hash operation on a data block to generate a hash value of the data block; based on the hash value and identity verification information of the user, generating an encrypted signature by using an improved elliptic curve digital signature algorithm, and binding the transaction time of the preliminary transaction proposal with the encrypted signature by using a timestamp service; broadcasting the data block corresponding to the preliminary transaction proposal and the encrypted signature to a plurality of nodes by using a distributed network so as to determine an effective financial transaction; and linking the data blocks corresponding to the effective financial transactions to a preset block chain according to a time sequence and a logic relationship based on a Merkle tree structure, and regularly checking the consistency and integrity of data on the chain. The financial information management method which is high in safety, cannot be tampered and is traceable can be provided, and the safety of financial transactions is improved.

The invention discloses a brake spring piece flatness detection system and method, and relates to the technical field of automobile part processing. The brake spring piece flatness detection system comprises a data acquisition module, a data analysis module, a data screening module, a dynamic monitoring module and a comprehensive judgment module, wherein the data acquisition module is used for acquiring static detection data of N groups of spring pieces randomly extracted from the same batch; the static detection data comprises top view shooting picture data and side view shooting picture data of N groups of spring pieces, which are acquired at equal intervals by utilizing an optical detection instrument, and size data of the spring pieces, which are acquired by utilizing a laser radar, and the technical key points are as follows: through analysis and processing of the static detection data and the dynamic detection data, the overall quality of the spring pieces is shown; related workers can conveniently and quickly know whether the spring pieces meet the requirements of automobile braking or not, high-quality products can be quickly screened out from numerous spring pieces, use is convenient, secondary detection is not needed in the follow-up process, and good application prospects are achieved.

The invention belongs to the technical field of unmanned aerial vehicles, and particularly discloses an unmanned transportation and delivery route planning method and device based on multiple factors, and the method comprises the steps: determining the task demand information of a transportation and delivery task; performing unmanned aerial vehicle matching according to the task demand information to obtain an unmanned aerial vehicle score, and selecting a target unmanned aerial vehicle according to the unmanned aerial vehicle score to execute the transportation and delivery task; obtaining a target path by using a path planning algorithm, and scoring the target path to obtain a target path score; and determining an environmental factor score according to the path voyage and the path points, and performing weighted calculation on the unmanned aerial vehicle score, the target path score and the environmental factor score to obtain a comprehensive score of the target path for reference by a decision maker. According to the invention, the accuracy and efficiency of route planning can be improved.

The invention discloses a traditional Chinese medicine curative effect intelligent analysis and prediction platform, and relates to the technical field of traditional Chinese medicine analysis. The intelligent management platform is in communication connection with a data preprocessing and standardization module, a symptom description standardization processing module, a network relation analysis module, a network target positioning module, a network target navigation module, a drug effect prediction and evaluation module and a report generation and output module. According to the traditional Chinese medicine curative effect intelligent analysis and prediction platform, by integrating a machine learning technology, the accuracy of traditional Chinese medicine curative effect evaluation is remarkably improved, a large number of traditional Chinese medicine prescriptions, patient syndromes and curative effect data information are collected and analyzed, and the treatment effects of the traditional Chinese medicine prescriptions on different syndromes are evaluated by combining a network target and an established network relationship; and analysis results of the drug target intervention effect and the synergistic effect are provided, so that the action mechanism of the traditional Chinese medicine prescription can be deeply understood, and the traditional Chinese medicine prescription with a potential curative effect can be quickly screened out.

The invention discloses a multi-tenant permission configuration method, system and device based on an SaaS platform and a medium, and relates to the technical field of data processing, and the method comprises the steps that a multi-tenant information layer is acquired based on the SaaS platform, and a first permission set is acquired, and the first permission set comprises one or more different permission types; defining a weight index, and generating a first identifier and a first weight value; acquiring a newly added tenant based on the SaaS platform, matching role types and completing permission configuration; setting a verification time period, obtaining a second permission set of the newly added tenant in real time every one verification time period, and generating a second weight value corresponding to the first tenant; whether the second weight value is the same as the first weight value or not is judged, if not, tenant permission configuration is withdrawn, and if yes, a second identifier corresponding to the first tenant is generated; and judging whether the second identifier is the same as the first identifier or not, and if not, recovering the permission configuration of the tenant. The method has the advantages of accurate configuration, dynamic verification and high safety.

The invention relates to the technical field of computer data management, and discloses a data management method and system capable of reducing computing power occupancy, and the method comprises the steps: S1, based on data distribution analysis, employing a sparse representation algorithm and a principal component analysis method, carrying out the operation elimination of the redundancy of high-dimensional data features through setting an L1 regularization constraint condition, and obtaining an L1 regularization constraint condition; decomposing the data correlation matrix in combination with a matrix operation mode, extracting feature vectors with top-ranked contribution values, and converting the feature vectors into a sparse low-dimensional matrix; and generating a sparse low-dimensional data matrix. Through combination of sparse representation and principal component analysis, L1 regularization is creatively applied to perform feature screening on high-dimensional data, redundant data items are removed, and principal component features with high correlation are extracted, so that the data dimension is effectively reduced, consumption of computing resources is reduced, and meanwhile, main information features of the data are reserved; the efficiency and accuracy of subsequent processing are improved, and distributed scheduling of tasks and efficient utilization of equipment computing power are realized.

The invention discloses a saw blade tooth profile defect visual inspection system based on a deep learning model, and relates to the technical field of saw blade tooth profile defect detection.The saw blade tooth profile defect visual inspection system comprises a light source capable of providing a plurality of different specific wavelengths, and a first visual inspection device shoots a saw blade and generates a digital image; pixel information in the scanning image is subjected to edge detection, texture analysis and morphological operation, and then corresponding characteristic values are extracted; and the second visual detection device is used for receiving the light of different specific wavelengths reflected from the surface of the saw blade in a certain length range, and analyzing and generating reflection spectrum data. The method comprises the following steps: comparing a feature value extracted by a first visual detection device with a set threshold range to preliminarily identify an obvious tooth profile defect area, and taking a comparison result of the feature value and the set threshold as a starting condition for carrying out second accurate detection or not; and the secondary visual detection device performs more accurate detection on the area with the preliminarily detected potential defects, and deep defect features are identified.

The utility model discloses a chemical gas absorption tower, and particularly relates to the field of absorption towers. The chemical gas absorption tower comprises the purification tower and the gas inlet pipeline vertically communicated with one side of the purification tower, a fan cover is arranged at the top of the purification tower, a fan is arranged in the fan cover, and a spraying purification system is arranged in the purification tower. The spray purification system comprises a rotary spray pipe rotationally connected to the inner wall of the purification tower in a sealing manner, a plurality of spray heads fixedly communicated to the inner surface of the rotary spray pipe and a fixed pipe fixedly connected to the upper surface of the rotary spray pipe, and a driving unit for driving the rotary spray pipe to rotate is arranged on the purification tower. According to the utility model, the problems that the purification effect and durability are easily influenced due to the fact that the purification liquid wets the filler in the conventional absorption tower, the utilization rate of the filler is easily insufficient when the gas is purified by the filler, and the spraying liquid for purifying the gas is inconvenient to recycle are solved.

The invention provides a digital human intelligent question-answering system and method for a water affair scene, and relates to the technical field of intelligent water affair, and the method comprises the steps: an inquiry receiving module obtains a user question through a digital human; the data updating module obtains real-time water affair data and updates the extended database; the question retrieval module is connected with the intelligent question and answer model and the water affair knowledge base, semantic matching retrieval is performed in the water affair knowledge base based on the user question through the intelligent question and answer model, and a matched question is obtained; an answer matching module queries a matching answer in an answer data set of the water affair knowledge base based on the matching question; the real-time data query module queries the associated real-time water affair data in the extended database based on the matching problem, and generates a real-time data query tag; and the interaction feedback module displays the matching answer and the real-time data query tag through a digital person. According to the invention, the technical problem of low water affair knowledge propagation efficiency caused by tedious water affair knowledge acquisition modes in the prior art is solved, and the water affair knowledge propagation efficiency and propagation effect are improved.

The invention discloses a cistanche seed screening method based on an infrared spectrum, and relates to the technical field of seed screening. The method comprises the steps of seed grading data determination, infrared spectrum detection and data processing and analysis. The seed grading data determination specifically comprises the steps of clarity determination, thousand seed weight determination, seed vigor determination and moisture content determination. According to the method, different grades of cistanche seeds are obviously related to infrared spectrum characteristic peaks, and the characteristic peaks have relatively high positive correlation with thousand seed weight, seed activity and moisture content, so that the absorbance of a wave band corresponding to a cistanche seed sample is an important index capable of reflecting the quality of the seeds; the absorbance is remarkably related to the thousand seed weight and the seed activity, and the effectiveness and accuracy of the infrared spectrum technology in evaluating the quality, the activity and the thousand seed weight of the seeds are proved.

The invention belongs to the technical field of animal molecular marker screening and application. In particular to an SSR molecular marker primer related to the meat percentage character of procambarus clarkii and application of the SSR molecular marker primer in auxiliary selection. The method comprises the following steps: performing correlation analysis on meat content related character phenotypes of two full-sib families, four natural populations and four rice-shrimp co-culture populations of procambarus clarkii by using SSR markers to perform PCR (Polymerase Chain Reaction) amplification on collected samples to obtain target fragments and using genotypes detected by polyacrylamide gel electrophoresis; and identifying a QTL (Quantitative Trait Loci) associated with the meat percentage character. By screening the dominant genotype of the SSR marker, the procambarus clarkii strain with high meat content is bred in an assisted manner. The molecular marker primer disclosed by the invention can be used for rapidly screening out a group with a high meat content character; the repeatability in different groups is high; meanwhile, the dominant genotype identified by the application corresponds to the high meat percentage character, and the effect is remarkable.

The invention discloses a scientific and technological novelty retrieval method, device and equipment based on semantic elements and a medium, relates to the technical field of text retrieval, combines novelty retrieval semantic vectors and semantic retrieval formulas, captures deep semantics of target novelty retrieval points, ensures that literatures highly related to the target novelty retrieval points are screened out, and meanwhile, through the semantic analysis and retrieval technology, the target novelty retrieval points are obtained. The operation difficulty and the time cost are reduced. The method comprises the steps that when a novelty search application form is received, a comprehensive novelty search point is generated according to content to be subjected to novelty search and retrieval indicated by the novelty search application form, and a novelty search semantic vector of the comprehensive novelty search point is obtained; based on the novelty search application form and the comprehensive novelty search points, extracting target semantic elements; expanding the target semantic elements to obtain a semantic set corresponding to the target semantic elements, and constructing a semantic retrieval formula by utilizing the semantic set; and based on the novelty search semantic vector and the semantic retrieval formula, executing novelty search operation to obtain a plurality of target literatures, sorting the plurality of target literatures, and outputting the sorted target literatures.

The utility model discloses steel structure powder filtering and screening equipment which comprises a bottom plate, supporting frames are fixedly connected to the surfaces of the two sides of the bottom plate, guide rods are fixedly connected to the two supporting frames, sliding seats are movably connected to the outer walls of the circumferences of the guide rods, a filtering frame is fixedly connected between the two sliding seats, a notch is formed in the surface of the filtering frame, and the filtering frame is fixedly connected with the bottom plate. And one ends of the two supporting frames are fixedly connected with a connecting plate, one side of the connecting plate is fixedly connected with an electric telescopic rod, and one end of the electric telescopic rod penetrates through the connecting plate to be fixed to the filtering frame. According to the powder filtering device, powder in the filtering frame can be stirred by the stirring strips through rotation of the stirring rollers, the accumulated powder is spread and dispersed on the screen, powder accumulation is avoided, the powder can be filtered more quickly, the bottom of the screen can be knocked circularly through rotation of the rubber balls, the screen is vibrated, and the powder can be filtered more quickly. And the screen is prevented from being blocked in the filtering process.

The invention belongs to the technical field of biology, and particularly relates to application of a QTL (Quantitative Trait Loci) Qsdss.saas.6A to identification of a wheat SDS (Sodium Dodecyl Sulfate) sedimentation value genotype and an identification kit. The QTL locus Qsdss.saas.6A is located on a short arm of a wheat 6A chromosome, the genetic interval is 28.14 cM to 48.75 cM, and corresponding molecular markers on the two sides of the QTL locus Qsdss.saas.6A are AX-110002278 and AX-111581648. Meanwhile, the invention also provides a KASP primer group, the detection kit prepared from the KASP primer group is applied to detection of the SDS sedimentation value of wheat grains, wheat strains with high SDS sedimentation value can be rapidly screened, and the breeding efficiency is greatly improved; the identification method provided by the invention is simple in steps, reliable and practical, has an important application value in wheat breeding, and has a wide application prospect.

The invention discloses a block information determination method and system and a storage medium, and the method comprises the steps: obtaining an original image containing a to-be-detected block, and carrying out the binarization processing of the original image, and obtaining a binary image; contour searching processing is carried out on the binarized image to obtain a plurality of outer contours and an inner contour corresponding to each outer contour, and each outer contour represents the peripheral contour feature of the corresponding block to be detected; calculating the zero moment of the first pixel area corresponding to each outer contour and the zero moment of the second pixel area corresponding to each corresponding inner contour; subtracting the zero moment of each corresponding second pixel region from the zero moment of the first pixel region to obtain the area of each block to be detected; and determining the to-be-detected blocks of which the areas are greater than a preset area threshold as target blocks, and counting the target blocks to obtain the total number of the blocks. According to the scheme, the blocks meeting the expected area condition can be rapidly screened out, and counting of the target blocks can be accurately completed.

The utility model discloses a solution filter for non-woven fabric production, which comprises a filter barrel, supporting legs are respectively arranged at four corners of the bottom surface of the filter barrel, an inlet pipe is arranged on the left side of the top surface of the filter barrel, a vacuum pump is arranged on the front side of the top surface of the filter barrel, and a piston mechanism is arranged at the bottom of the filter barrel. A large piston plate is driven by a first electric push rod to perform piston motion, so that a solution is pumped to the lower end in the filter barrel, is quickly filtered by a filter screen, and reaches the outside through cooperation of a first discharge pipe and a second discharge pipe; the stirring mechanism is arranged at the lower end of the output shaft of the motor, when the stirring mechanism is driven by the motor to rotate, due to the shape of a stirring plate, a solution is driven by the stirring plate to be pressed downwards, the solution filtering efficiency is improved, and the probability that a filter screen is blocked by impurities is reduced; the second electric push rod drives the lower end of the connecting piece to leave the through hole of the filter screen, so that impurities can flow outside through the through hole of the filter screen.

The invention provides a capacitance detection method, system and device and a storage medium, and relates to the technical field of capacitance detection. The method comprises the following steps: acquiring a capacitance type and a parameter range of a measured capacitor, and matching with a preset resonance library according to the capacitance type and the parameter range to obtain a target resonance inductance parameter; constructing a target LC resonance test circuit based on the target resonance inductance parameter, the capacitor type and the parameter range, and measuring the tested capacitor based on the target LC resonance test circuit to obtain resonance response data; and analyzing the resonance response data to obtain a capacitance performance index. Through the scheme, the capacitor testing efficiency is improved.

The invention discloses a preparation method of an Mg / Al laminated material interface irradiation damage behavior analysis sample, which comprises the following steps: respectively calculating the incidence depths of Mg < + > with different energies in an Mg / Al laminated material by adopting SRI < M > software, and calculating the irradiation damage layer depth of incident ions with specific energy; performing ion beam cutting on the ion irradiation sample according to the SRI M calculation result; sequentially selecting ion beams with different beam sizes to thin the cut interface sample; by adjusting parameters such as the electrolytic polishing solution ratio, the polishing temperature, the polishing time and the polishing voltage, the optimal rapid polishing process parameters of the Mg / Al laminated material interface sample are explored; according to the method, by means of combination of SRI M software simulation, ion beam micro-nano scale processing, a differential thinning process, rapid polishing treatment and the like, preparation of the Mg / Al interface transmission electron microscope sample in the Mg / Al laminated material after ion irradiation can be effectively completed, and Mg / Al interface irradiation damage behavior analysis and rapid screening of the high-performance Mg / A laminated material are achieved.

The invention discloses a BHET hydrolase designed based on an inverse folding algorithm and a preparation method of the BHET hydrolase, and relates to the technical field of biology. The preparation method comprises the following steps: selecting polyester hydrolase PHL7, learning a protein crystal structure by using a deep learning algorithm Protein MPNN, carrying out three-dimensional structure modeling by using Esmfold, carrying out molecular docking on candidate protein and BHET, carrying out molecular dynamics simulation, and screening out protein which is well combined with a substrate; performing expression and purification; the invention further discloses the application of the BHET hydrolase in hydrolysis of BHET. Through the screening process, the BHET hydrolase can be simply, rapidly and efficiently screened from the candidate sequences generated in a large scale, and the source of the BHET hydrolase is expanded.

The invention discloses an AAV vector targeting improvement method applicable to gene therapy drugs, which comprises the following steps: performing high-throughput analysis on target tissue cells through a screening sub-module, screening candidate receptor genes interacting with AAV vector targeting molecules, and determining target receptor genes; the selection submodule is used for designing a gene editing system and selecting a promoter with tissue specific expression to drive the expression of the gene editing system; the introduction submodule is used for introducing the gene editing system into target tissue cells by adopting a gene transfer technology; and the evaluation sub-module is used for selecting the most suitable gene transfer mode according to the characteristics and treatment requirements of the target tissue, and detecting and evaluating the cells subjected to gene editing by utilizing a PCR molecular biological technology. The targeting property of the AAV vector to target tissue cells is improved, the infection of non-target tissues is reduced, and the side effect risk is reduced, so that the gene therapy effect is remarkably improved.

The invention discloses a retired battery screening method, system and equipment based on capacity increment curve prediction and a medium, and relates to the technical field of battery application. The method comprises the following steps: firstly, acquiring local charging data, including voltage and capacity, of a target battery, and performing discretization processing to obtain preprocessed data; then, a voltage-capacity curve prediction model based on a convolutional neural network is utilized to predict a complete charging curve of the preprocessed data, and a capacity increment curve is generated; and then, extracting characteristic data of the capacity increment curve, including a left peak height, a right peak height and corresponding voltage, as clustering indexes to screen out-of-service batteries. And finally, determining a judgment result of the target battery according to the feature data, and realizing accurate screening and evaluation of the battery. According to the method, the clustering feature acquisition time can be greatly shortened, the clustering efficiency is improved, and rapid screening of the retired batteries is realized.

The invention relates to the technical field of selective laser melting, and discloses a metal powder feeding mechanism for 3D printing, the metal powder feeding mechanism comprises a forming driving module mounted in a processing bin, the output end of the forming driving module is rotationally connected with a processing base plate through an elastic rotating part, and a conveying mechanism for collecting powder is arranged at the bottom of the processing bin; a swinging powder collecting assembly for collecting powder shaken off by rotation of the machining base plate is installed outside the forming driving module, and the swinging powder collecting assembly and the machining base plate synchronously move through a swinging synchronous assembly. A brand-new metal powder feeding structure is arranged on the basis of gas-driven vertical blowing of the machining base plate for inclined filtering, powder discharging, powder filtering and powder feeding are integrated, the equipment size is reduced, meanwhile, overturning of the bowl-shaped filtering cover is achieved through the inclined kinetic energy of the machining base plate, procedure fusion is achieved, meanwhile, an additional filtering power source is not needed, and the equipment cost is reduced. And the problem of filtration and accumulation of large-volume powder is solved in a small space range.

The invention particularly relates to a papermaking sewage treatment and purification device which comprises a box body, a transverse rotating cage is arranged in the box body, end plates are arranged at the two ends of the rotating cage, a transverse shaft is fixedly installed in the center of the outer side of one end plate, and the outer end of the transverse shaft penetrates out of the box body and is rotationally connected with the box body and is connected with the output end of a power device. An outlet is formed in the bottom of the box body, a transverse pipe is fixedly connected to the center of the outer side of the other end plate, the outer end of the transverse pipe penetrates out of the box body and is rotationally connected with the box body, and the outer end of the transverse shaft is rotationally connected with the lower end of a feeding pipe; papermaking sewage is injected into the filtering chamber through the feeding pipe and the transverse pipe, then the power device is started to drive the rotating cage and the filtering chamber to rotate, the sewage can be rapidly filtered by the filtering plate under the working effect of gravity and centrifugal force and is discharged through the outlet, residues are temporarily stored in the filtering chamber after filtering is completed, then the filtering plate is turned over by 180 degrees, and the filtering plate is turned over by 180 degrees. And therefore, the functions of efficiently filtering and automatically cleaning the residues on the filter plate are realized.

The utility model discloses a high-precision pressure split-flow filtering melt filter element which comprises a machine body, a plurality of supporting legs are arranged at the lower end of the machine body, a feeding hopper is arranged at the upper end of the machine body, a first flow equalizing plate is arranged at the upper end of the machine body, and a feeding cavity is defined by the first flow equalizing plate and the top of the machine body. A material pushing mechanism is arranged in the feeding cavity, a first current carrying plate is arranged at the upper end of the machine body, the first current carrying plate corresponds to the lower portion of the first current equalizing plate, a first supporting plate is arranged at the lower end of the machine body, a plurality of filtering mechanisms are arranged on the first supporting plate, and a plurality of first flow dividing openings are formed in the first current carrying plate; and the first shunting ports are in one-to-one correspondence with the filtering mechanisms. According to the high-precision pressure split-flow filtering melt filter element provided by the utility model, a spinning solution can be uniformly split into a plurality of filtering frame bodies, and is filtered by a plurality of filtering mechanisms, so that the spinning solution can be quickly filtered, the working efficiency is improved, and the filtering load is reduced.

The invention provides a key information extraction and mass attitude evaluation method based on a large language model. The method comprises the following steps: collecting comment texts of the masses on a target decision, and extracting known keywords; screening a comment text related to the known keyword by utilizing a search model; further screening a comment text related to the known keyword by utilizing a semantic understanding model; rechecking the correlation between the comment texts and the known keywords by using a large language model, and filtering out the comment texts which are misjudged to be related to the known keywords to obtain a key comment set; and a multi-agent system is constructed, each agent independently evaluates the attitude of each comment text in the key comment set to the target decision, and the user agent integrates the evaluation results of all agents and outputs the evaluation results. According to the method, a multi-level screening mechanism and an attitude evaluation mechanism based on multi-agent consensus are adopted, the calculation amount in the similarity judgment process is reduced, and the attitude evaluation accuracy and the system processing efficiency are improved.