114results about How to "Good correlation" patented technology

The invention discloses a full-period traffic flow prediction method based on spatial-temporal feature deep fusion, and aims to deeply integrate complex spatial-temporal dependence of traffic flow, form composite traffic situation perception and realize traffic multi-period comprehensive flow prediction. The method comprises the following steps: firstly, through spatio-temporal information comprehensive representation, extracting time sequence characteristics of multiple time modals and constructing a concrete real spatial relationship; in order to further construct a digital urban traffic flow prediction method fusing multi-scale and multi-granularity comprehensive elements, a comprehensive traffic flow prediction model deeply fusing short-term space-time dependence is provided for short-term traffic flow prediction, so that the sensitivity to instantaneous flow change is improved; the short-term dynamic change of the traffic flow in the multifunctional airspace node is fully modeled; in addition, a deep airspace deconstruction and time sequence feature fusion model is designed for medium and long term traffic prediction and deep extraction of complex traffic modes. Simulation results show that the method provided by the invention is superior to the existing traffic flow prediction technology.

The invention provides an intelligent data analysis and knowledge question and answer method and system based on a multi-modal large model. The method comprises the following steps: receiving a multi-modal query request, performing semantic analysis and intention recognition technologies, determining a question core and a required knowledge field, and generating a personalized question understanding framework; performing manifold embedding processing by applying a manifold learning enhancement algorithm, revealing an internal geometric structure, constructing a shared representation space by adopting a multi-task learning technology, training a plurality of sub-tasks at the same time, and generating cross-modal unified representation; performing recurrent processing by using a recurrent neural network algorithm, recursively updating an internal state, constructing an organized information structure by using a hierarchical clustering method, and generating an ordered information structure chart; a context awareness feedback mechanism is introduced, instant response and environment change are monitored in real time, an answer strategy is dynamically adjusted, instant feedback is recorded, and an intelligent data analysis and knowledge question and answer scheme is generated. According to the technical scheme provided by the invention, the accuracy of intelligent data analysis and knowledge questions and answers and the user experience are improved.

The invention belongs to the technical field of immunodetection, and discloses a T3 sandwich method rabbit monoclonal antibody mAb3 and application thereof. The T3 sandwich method monoclonal antibody mAb3 provided by the invention comprises a light chain variable region and a heavy chain variable region, the light chain variable region comprises LCDR1-3, the LCDR1 comprises an amino acid sequence NIYNS, the LCDR2 comprises an amino acid sequence YAS, and the LCDR3 comprises an amino acid sequence QSHYGFSSSYGAA; the heavy chain variable region comprises HCDR1-3, the HCDR1 comprises an amino acid sequence GFDVSYN, the HCDR2 comprises an amino acid sequence IDTGANA, and the HCDR3 comprises an amino acid sequence ARVFYDNSFDP. The monoclonal antibody can be combined with a T3 compound in a high-specificity mode, is suitable for double-antibody sandwich immunodetection and is applied to an immunodetection kit prepared through a double-antibody sandwich ELISA or a chemiluminescence method, a T3 standard antigen is detected through a double-antibody sandwich chemiluminescence platform, the detection sensitivity is lower than 0.3 ng / ml, clinical samples are detected through a magnetochemiluminescence method, and the detection sensitivity is lower than 0.3 ng / ml. In the sample range of 1-80 pmol / L, the correlation with clinical comparison is good.

The invention discloses a distributed photovoltaic power prediction method and device, equipment, a medium and a product, and relates to the technical field of distributed photovoltaic. The method comprises the steps of obtaining a multi-source meteorological matrix; according to the historical power time sequence data, a fuzzy clustering algorithm based on a time sequence form is adopted to carry out regional division on the distributed photovoltaic power stations in the to-be-predicted region; determining an optimal network parameter of each sub-region by adopting a Bayesian method; applying the optimal network parameters to the Transform model of each sub-region to obtain a distributed photovoltaic power prediction model of each sub-region; and inputting the multi-source meteorological matrix in the future prediction time period into the distributed photovoltaic power prediction model of each region, and obtaining a distributed photovoltaic power prediction result of the region to be predicted in the future prediction time period by using the first multilayer sensor. The distributed photovoltaic power prediction method and device can be suitable for distributed photovoltaic power prediction, and the accuracy of distributed photovoltaic power prediction is improved.

The invention relates to a full-route bump feature mining and EDR estimation method based on airborne QAR data. The method comprises the following steps: forming an EDR basic data set; mining and extraction of advanced features are realized; forming an optimized feature set; obtaining a trained neural network model; and calculating the full-route EDR value of the real route. Through combination of discrete wavelet transform and a neural network model, the invention provides an accurate and reliable EDR estimation method, and compared with a traditional single-parameter method, detail description is more obvious and is completely and automatically calculated by a computer without manual reasoning. According to the method, after model training and optimization, the EDR value on a single course can be estimated in real time, and the accuracy and practicability of analyzing an airplane bumping event through flight data in the aviation field are improved.

The invention relates to the technical field of information security, in particular to a deep learning side channel analysis method for efficiently recovering a key, which comprises the following steps: S1, acquiring plaintext, key and encrypted energy leakage information; s2, byte labels set by bytes corresponding to the secret key and energy traces in the interest interval correspondingly form a data set, and the data set is divided into a training set, a verification set and a test set; s3, constructing a single convolutional neural network model according to the relationship between the energy leakage generated in the interest interval and the key, and establishing a side channel analysis deep learning model; s4, inputting the training set into a side channel analysis deep learning model for training to obtain a final model, and collecting training indexes; and S5, evaluating the final model, recovering the byte key by using the final model, and evaluating the attack effect. According to the method, the key of n bytes can be recovered only by training one model, so that the number of models is reduced, the training time is saved, and the efficiency of deep learning side channel analysis is effectively improved.

The invention relates to the field of artificial intelligence, and provides a presentation file automatic generation method and device, electronic equipment and a readable storage medium. The method comprises the following steps: calling a first model interface, and introducing presentation file outline information or presentation file theme information and typesetting prompt information to obtain a first return result; generating a paging prompt content sequence according to the first return result; the target theme style and the paging prompt content sequence are input into a pre-trained presentation file typesetting design model, a paging typesetting design description sequence is obtained, the paging typesetting design description sequence comprises a plurality of typesetting pages, and one typesetting page corresponds to one typesetting design description; and generating a target presentation file based on the paging typesetting design description sequence and the target theme style, and outputting the target presentation file. The PPT generated by the method is more compact in structure and better in logicality, and the PPT typesetting design has better novelty and uniqueness, so that the personalized requirements of users can be better met.

The invention relates to the technical field of geophysical logging, in particular to an XGBoost algorithm-based clastic rock reservoir granularity median inversion lithology identification method, which comprises the following steps of S1, constructing a granularity median M-logging multivariable data set; s2, dividing the granularity median M in the data set into a plurality of granularity types; s3, establishing a granularity type identification model, and then judging the granularity type to which the unknown depth point on the shaft section belongs; and S4, establishing a granularity median logging intelligent calculation model based on an XGBoost algorithm under granularity classification, then calculating a continuous granularity median curve, and then identifying the lithology of the clastic rock reservoir according to the corresponding relationship between the lithology and the granularity median. According to the method, granularity analysis and conventional logging information are fully mined, geological significance is combined, the granularity samples are classified, then the calculation model of the granularity median is established through the XGBoost algorithm, low-cost and high-precision granularity median continuous calculation can be achieved, and therefore low-cost and high-precision identification of the lithology of the clastic rock reservoir is achieved.

The invention discloses SNP (Single Nucleotide Polymorphism) molecular markers of a Penaeus vannamei HIF-1alpha gene. The SNP molecular markers are respectively positioned at basic groups of the 67th site, the 119th site, the 133rd site, the 172nd site, the 340th site, the 409th site, the 437th site, the 474th site, the 577th site, the 647th site and the 749th site of a nucleotide sequence shown in a sequence 1 in a sequence table. The molecular marker is used as a functional marker of the nitrite-resistant character of the penaeus vannamei for breeding, specifically, genome DNA of muscular tissue of the penaeus vannamei to be detected is extracted, then the obtained genome DNA is used as a template for PCR amplification and purification of a PCR amplification product, then the obtained PCR amplification product is sequenced, and the content of the nitrite-resistant character of the penaeus vannamei is determined. The genotype of the molecular marker is determined, so that dominant genotype individuals are selected for breeding the penaeus vannamei boone, and a penaeus vannamei boone strain with good nitrite-resistant character can be obtained.

The invention discloses a cache request processing method, equipment and a medium, belongs to the technical field of data processing, and is used for solving the technical problem that in the prior art, after the size of a cache line is reduced, a system needs to process a cache request more frequently, and the complexity and overhead of cache management are increased. The method comprises the steps that n block requests are combined into a total request, and n is a positive integer; determining whether a target data block corresponding to any one request in the total request is cached and hit; if the cache of the target data block is hit, obtaining cache data corresponding to the target data block from a cache; and if the target data block cache is missed, sending a missed request to the L2 cache, distributing a target cache space for the target data block in the L1 cache, and obtaining corresponding cache data from the target cache space. According to the method, the size of the cache line is reduced, the frequency of processing the cache request is reduced, and the complexity and overhead of cache management are reduced.

The invention relates to the technical field of advertisement interception and optimization, and discloses a real-time advertisement interception and optimization method, which comprises the following steps of: when an advertisement appears on user equipment, monitoring closing or browsing operation of a user, obtaining an advertisement type preferred by the user, and forming an advertisement type accepting set of the user; meanwhile, software currently opened by a user is obtained, and user states including working and entertainment states are judged; executing a first interception optimization strategy in the working state; obtaining the current recreational activities of the user in the recreational state, and executing different interception optimization strategies according to the recreational activities performed by the user; the user state is obtained according to the software currently used by the user, and all or part of advertisements are selected to be intercepted according to the state, so that the relationship between the advertisement display frequency and the user experience is effectively balanced, and the interference of the advertisements on the normal use of the user is avoided.

The invention provides an extremely few sample medical image segmentation method based on bidirectional attention guidance, and the method comprises the steps: integrating a bidirectional attention mechanism into a feature extraction and loss function of a segmented arbitrary model, and segmenting a few sample medical image; wherein the bidirectional attention mechanism comprises a spatial domain attention module, a frequency domain attention module and an attention gradient updating mechanism; the spatial domain and frequency domain attention module combines frequency domain feature processing and spatial domain feature processing; the spatial domain and frequency domain attention module is used for capturing fine and rough features; the attention gradient updating mechanism is used for dynamically adjusting the loss weight; according to the dual method provided by the invention, feature capture and correlation are improved, and the segmentation accuracy is improved. According to the method, through verification of a plurality of medical image data sets, the performance of full supervision can be achieved only through two label samples.

The invention relates to an assembly type building wall T-shaped joint connecting structure. A first rectangular steel bar frame structure, a second rectangular steel bar frame structure and a third rectangular steel bar frame structure are exposed out of the adjacent side portions of a first steel concrete assembly, a second steel concrete assembly and a third steel concrete assembly correspondingly. Side steel bar frame structures are arranged on the two sides of the third steel concrete assembly in an exposed mode, and side supporting cavities for containing the side steel bar frame structures are formed in the first steel concrete assembly and the second rectangular steel bar frame structure. And pouring pieces located in the pouring cavity, the first side supporting cavity and the second side supporting cavity are further included. According to the scheme, extra fixing pieces for auxiliary supporting are not needed during pouring, pouring is convenient, and the construction efficiency is high. And meanwhile, the n-shaped pouring piece is tightly connected and fixed with the first steel concrete assembly, the second steel concrete assembly and the third steel concrete assembly, and high-strength concrete at the high-strength cement blending position is adopted for pouring, so that the strength and the water seepage prevention effect of the T-shaped connecting structure are improved.

The invention discloses an engineering design drawing one-key publishing and automatic volume dividing method based on threshold parameters. The method comprises the steps that S1, basic information of publishing and volume forming is set; s2, defining an initial threshold parameter according to the basic information of the published volume; s3, extracting feature data of the engineering design drawing and forming a feature matrix by the extracted feature data; s4, obtaining a feature weight; s5, dynamically adjusting the initial threshold parameter according to the feature weight; s6, the system pre-divides the engineering design drawing data to be published according to the dynamically adjusted threshold parameters; s7, marking each drawing set in the pre-book-dividing result to form a drawing set marking sequence, and dynamically adjusting the book-dividing result according to a balance strategy of feature weight optimization; and S8, merging and processing the divided engineering design drawing data according to the dynamically stored divided volume information, and generating a final publication and volume file. According to the method, the aims of efficient, accurate and comprehensive one-key publishing and automatic volume dividing of the engineering design drawings are achieved.

The invention discloses an advertisement customization service platform based on intelligence, and relates to the technical field of advertisement platforms. The advertisement customization service platform based on intelligence includes a data collection and preprocessing module, which is used to collect user feature data sets and preprocess the user feature data sets; a bias prediction and adjustment module, which is used to identify representative biases in user feature data sets and implement data bias adjustment measures according to representative biases; a fairness evaluation and optimization module, which is used to detect the fairness of different advertisement decisions to different groups and implement fairness optimization measures according to fairness detection results; an advertisement recommendation continuous monitoring module, which is used to generate a fairness inspection report according to fairness detection results and recommend and place advertisements according to the fairness inspection report. The problem that the existing advertisement platform inadvertently learns and amplifies biased data, resulting in unfair advertisement placement results, is solved.

The present invention provides an application of a three-domain protein 2 (TRIM2), which specifically targets and knocks out the gene to inhibit its protein expression, thereby inhibiting the infection of porcine epidemic diarrhea virus (PEDV) in host cells, thereby preventing porcine epidemic diarrhea caused by PEDV infection. Therefore, TRIM2 can be used as a potential target molecule for preparing drugs for preventing and treating porcine epidemic diarrhea or for manufacturing gene-edited animals resistant to porcine epidemic diarrhea, and has important economic value.

The invention provides mixing equipment for disinfectant production, and relates to the technical field of disinfectant preparation, the mixing equipment comprises a reaction tank and a partition plate; a partition plate is arranged in the reaction tank, a material leakage opening is formed in the partition plate, a threaded rod is rotatably connected to the interior of the reaction tank, a sealing sleeve is connected to the threaded rod through threads, a connecting baffle is slidably connected to the interior of the sealing sleeve, a connecting sleeve is rotatably connected to the connecting baffle, and a material receiving opening corresponding to the material leakage opening is formed in the connecting baffle; the connecting sleeve is fixedly connected with a partition check block capable of partitioning the material receiving port, a connecting rod is fixedly connected in the reaction tank, the connecting rod is in sliding connection with the connecting sleeve, the sealing sleeve and the connecting baffle, a first discharging hole is formed in the sealing sleeve, and a second discharging hole is formed in the connecting sleeve. According to the application, the loss of silver ions in the filtering process of the silver phosphate precipitate can be reduced.

The present invention relates to a deep learning arrhythmia classification method based on two-dimensional images, and belongs to the technical field of medical signal processing. The method comprises: classifying one-dimensional original electrocardiogram signals into abnormal intervals and abnormal amplitudes; performing two-dimensional imaging processing on one-dimensional electrocardiogram signals with abnormal intervals and abnormal amplitudes; dividing the obtained two-dimensional image set into a training set and a test set in a ratio of 7:3, with no crossover data between them; using transfer learning to transfer the relevant parameters of the trained and adjusted VGG16 network model to a new data set for training; and outputting the arrhythmia classification result corresponding to the current target electrocardiogram signal. The present invention can improve the classification accuracy of arrhythmia.

The invention relates to the technical field of transfer printing equipment, in particular to an aluminum alloy printing and transferring machine table for printing and transferring equipment, which comprises a feeding assembly arranged at the feeding end of a table board assembly and a discharging assembly arranged at the discharging end of the table board assembly, and a printing and transferring rack is made of an aluminum alloy material, so that the mass of the printing and transferring rack can be reduced while the use strength of the printing and transferring rack is ensured, and the printing and transferring efficiency is improved. The accessory positioning frame extending towards the two ends of the printing and moving rack is arranged at the bottom of the printing and moving rack, and the feeding assembly and the discharging assembly can be connected through the accessory positioning frame, so that the feeding assembly and the discharging assembly have better relevance with the printing and moving table top, the operation stability of the whole equipment is improved, and the printing and moving efficiency is improved. And guide wheels are arranged at the bottoms of the accessory positioning frame and the printing and moving rack, so that the accessory positioning frame and the printing and moving rack can be conveniently moved.

The invention provides a frequency hopping anti-interference communication system and method based on a chaotic random number, and the system comprises a transmitting end information modulation module which carries out the modulation processing of an original baseband signal; the transmitting end frequency hopping module is used for determining the frequency of a frequency hopping channel; the transmitting end mixer module is used for mixing and carrying out up-conversion processing; the transmitting end antenna module transmits the radio frequency signal waveguide and transmits the radio frequency signal to a free space; the receiving end antenna module is used for receiving a transmitting signal; the receiving end mixer module converts the frequency of the signal and transmits the signal to the receiving end intermediate frequency filter module; the receiving end frequency hopping module is used for determining the frequency of a frequency hopping channel; the receiving end intermediate frequency filter is used for carrying out filtering processing on the signal subjected to frequency conversion; and the receiving end baseband signal module is used for obtaining an original baseband signal transmitted by the transmitting end after filtering processing. According to the invention, the combination of random channel selection and chaotic channel selection is adopted in the frequency hopping module, so that information transmission is realized under the condition that an initial seed is not shared in advance, and the security of a communication system is improved.

The present invention provides a heterophasic polypropylene composition having good response to nucleating agents, increased crystallization temperature and good mechanical properties. The present invention also relates to articles made therefrom, and the use of the heterophasic polypropylene composition for specific applications and the production of these articles.

The invention discloses a word embedding-based sparse distributed coding method for vocabularies, which relates to the field of computer science and natural language processing and comprises a quantile conversion module, a nonlinear mapping module and a binarization processing module. The word vector sparse distributed coding method is characterized in that the word vector sparse distributed coding method and a specific structure form thereof are realized through connection and interaction among a quantile conversion module, a nonlinear mapping module and a binarization processing module; according to the method, the calculation complexity and the storage cost are reduced, the high-dimensional dense continuous word vector is converted into the sparse binary vector, the method is excellent in the aspects of reducing the calculation complexity and the storage cost, resources needed for calculating the similarity or carrying out other mathematical operations are greatly reduced, and therefore the processing efficiency is improved; the method is suitable for various machine learning models, keeps semantic information of word vectors, reduces coding precision loss, is wide in applicability, and can be widely applied to different corpora and application scenes.

The invention belongs to the technical field of coal blending and coking methods, and particularly relates to a coal blending and coking method for directionally regulating and controlling organic sulfur in coal gas. The method comprises the following steps: S1, respectively measuring conventional process indexes of single coking coal; S2, blending coal according to 0-9% of gas-fat coal, 30-44% of 1 / 3 coking coal, 11-16% of fat coal, 30-38% of coking coal and 10-14% of lean coal; s3, calculating the total sulfur of the mixed coal, and predicting the total sulfur of coke and the total organic sulfur in the coal gas by utilizing the prediction model; s4, when the total sulfur of the mixed coal is not changed, adding the low-sulfur gas-fat coal or reducing the proportion of the high-volatile gas-fat coal; s5, carrying out a small coke oven simulation coking test on the optimized blended coal, and determining a final coking coal ratio according to a test result; and S6, crushing the mixed coal sample, and then carrying out coking operation. On the premise of meeting the quality requirement of the high-quality metallurgical coke, the high-sulfur coal resource with a certain price advantage can be scientifically and reasonably matched.

The invention relates to the technical field of wireless communication, and provides a spread spectrum sequence generation method and device, equipment, a medium and a product, and the method comprises the steps: generating a basic sequence, and generating a password sequence or a chaos sequence; performing field extension mapping on the basic sequence to form a base sequence, and performing field extension mapping on the password sequence or the chaos sequence to form a field extension sequence; performing extension field addition operation on the base sequence and the extension field sequence to obtain an extension field addition sequence; and carrying out extension domain transformation on the extension domain addition sequence to obtain a spread spectrum sequence. According to the method, the spread spectrum sequence meeting the requirement can be generated, and the method has good correlation, long periodicity, good randomness and high safety.

The invention discloses an intelligent sensitive word detection and word recommendation method and system, a medium and equipment, and relates to the technical field of word detection and recommendation. The method comprises the following steps: obtaining product information of a target product, and determining a propaganda material based on the product information; formula information of the target product is extracted from the product information, and a first recommendation word set is determined based on the formula information and the propaganda materials; detecting and processing sensitive words in the first recommended word set to obtain a second recommended word set; and performing association expansion on the second recommendation word set, and performing sensitive word verification on the expanded recommendation word set to obtain a target recommendation word set. By implementing the technical scheme provided by the invention, the accuracy and correlation of word recommendation of the product can be improved, so that the advertising effect and the market performance of the product are enhanced.

The invention discloses a Markov chain-based reservoir parameter inversion and fracture simulation method and device. The method comprises the following steps of S1, determining an initial parameter matrix C; s2, determining an initial state matrix S0; s3, determining a transition probability matrix P; s4, determining prediction matrixes S1, S2, S3... Sn; s5, determining a reservoir parameter inversion matrix S; s6, dividing all elements in S0 into M sections; s7, selecting N elements as fracturing injection points, and adding the N elements into the F; s8, the elements meeting the conditions are placed in the Temp matrix; s9, elements in the Temp matrix are selected and added into the F; s10, repeating the step S8 and the step S9; and S11, determining positions corresponding to all elements in F in S, and further determining a fracture network. The defects that a reservoir grid model shows a large degree of homogeneity, the reservoir loses distribution regularity, and support is difficult to provide for refined seam network distribution simulation are overcome.

The invention discloses a biomarker for diagnosing Alzheimer's disease as well as a screening method and application thereof, relates to the technical field of biomarkers for Alzheimer's disease, and aims to solve the technical problems that the Alzheimer's disease lacks dynamic pathological monitoring indexes and stereoisomeric modification is difficult to systematically detect. According to the invention, the stereoisomeric modification level of peptide fragments KLDLSNVQSK and AKTDHGAEIVYK is used as the core biomarker for the first time, the modification level is remarkably related to the Braak staging of AD, and a detection method and a combined diagnosis model containing the marker are provided. A novel molecular target with high correlation and dynamic monitoring potential is provided for AD, the model diagnosis precision is remarkably improved, and a brand new solution is provided for disease mechanism research and drug development.

The invention relates to the field of mechanical engineering, and discloses a wheel-rail contact geometrical relationship evaluation method based on an improved wheel abrasion index, which comprises the following steps: S1, acquiring profile data, S2, performing interpolation processing on coordinate points, S3, calculating tread abrasion loss, S4, calculating an abrasion index wmad, and S5, performing correlation analysis on the abrasion index wmad and wheel-rail contact parameters. And S6, the abrasion index wmad is optimized. The wheel abrasion index constructed by the method has good correlation with the wheel-rail matching equivalent taper, the wheel-rail contact geometric state is intuitively reflected, the index also has strong correlation with the vehicle hunting stability, the pre-evaluation of the vehicle hunting stability is realized through the evaluation of the abrasion index, and the pre-evaluation of the vehicle hunting stability is realized. And then fault tracing of snaking instability is supported, the problem solving efficiency is improved, and the vehicle operation and maintenance cost is reduced.

The application relates to the technical field of nanobiosensors, and discloses a bimodal nanoprobe for uric acid detection and a preparation method and application thereof. The bimodal nanoprobe is a fluorescence-photothermal bimodal nanoprobe, and is a core-shell structure nanoparticle, which comprises, from the inner layer to the outer layer, a) a fluorescent inner core composed of carbon dots and a silica layer coated outside the carbon dots; b) a manganese dioxide layer coated outside the fluorescent inner core; and c) a molecularly imprinted polymer layer coated outside the manganese dioxide layer. The bimodal nanoprobe in the application integrates a fluorescence signal source (carbon dots), a signal modulation and photothermal unit and a specific recognition layer (a uric acid molecularly imprinted polymer) through ingenious structure design, realizes bimodal sensing of "specific recognition -> MnO2 etching -> fluorescence recovery / photothermal weakening" on UA, and effectively solves the problems of poor selectivity, complicated operation and high cost of traditional methods.

The invention belongs to the technical field of immunodetection, and discloses an E2 sandwich-method rabbit monoclonal antibody mAb9 or an antigen binding fragment thereof as well as a preparation method and application of the E2 sandwich-method rabbit monoclonal antibody mAb9 or the antigen binding fragment thereof. The E2 sandwich method rabbit monoclonal antibody mAb9 or an antigen binding fragment thereof comprises a light chain variable region VL and a heavy chain variable region VH, the light chain variable region VL comprises complementary determining regions LCDR1, LCDR2 and LCDR3, and the heavy chain variable region VH comprises complementary determining regions HCDR1, HCDR2 and HCDR3. The monoclonal antibody can be combined with an E2 compound in a high-specificity mode, is suitable for double-antibody sandwich immunodetection and is applied to an immunodetection kit prepared through double-antibody sandwich ELISA or a chemiluminescence method, a double-antibody sandwich chemiluminescence platform is used for detecting an E2 standard antigen, the detection sensitivity is lower than 10 pg / mL, a clinical sample is detected through a magnetochemiluminescence method, and the detection sensitivity is lower than 10 pg / mL. Within the sample range of 0-15000 pmol / L, the correlation with clinical comparison is good, and clinical management is provided for female health and male health.