232results about How to "Improve matching efficiency" patented technology

The invention relates to the technical field of medium and small span bridge construction and control, in particular to a precast beam size matching method and system based on a three-dimensional laser scanner, and the method comprises the steps: obtaining precast beam point cloud data, carrying out the preprocessing of the precast beam point cloud data, carrying out the registration of the preprocessed precast beam point cloud data with a BIM model, and obtaining the size of a precast beam. The automatic detection of the structure size is realized; then, by obtaining interface angular points of the precast beams, conducting virtual splicing by aligning the cross section angular points of the adjacent precast beams, simulating the field splicing process and obtaining key construction details, accurate and reliable data support is provided for follow-up construction, it is ensured that each beam section can conform to design specifications during splicing, and therefore potential safety hazards are reduced; the controllability and scientificity of the construction process are improved, the construction efficiency is improved, the construction period is shortened, the service life of the bridge structure is prolonged, and the structural reliability is improved. The problems of low precast beam parameter detection efficiency, high operation difficulty and low accuracy in the prior art are solved.

The invention discloses an automatic processing method and device and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring an invoice image; performing feature extraction on the invoice image to obtain layout features corresponding to the invoice image; matching a corresponding target invoice template according to the layout characteristics; determining region segmentation parameters for the invoice image, and performing key information extraction on the invoice image according to the region segmentation parameters to obtain a plurality of key information regions; performing OCR (Optical Character Recognition) on each key information area to obtain an invoice information text corresponding to each key information area; if it is determined that the invoice information text is correct, key field extraction is conducted on the invoice information text, invoice keywords are obtained, and structured invoice information data are constructed according to the invoice keywords; and associating the invoice image with the invoice information data, and generating an invoice identification code. By implementing the technical scheme provided by the invention, the workload of manual input and verification is reduced, and the efficiency is improved.

The invention provides a knowledge graph-based scientific research talent and research and development task intelligent matching method and system, and the method comprises the steps: obtaining and analyzing a plurality of candidate research and development tasks and matching priorities thereof, and combining the research association knowledge feature data between scientific research talent nodes to construct a plurality of scientific research talent knowledge sub-graphs; furthermore, the scientific research talent nodes are subjected to priority ranking according to task matching priorities, so that the scientific research talent nodes in different sequences have different matching priority information in the same scientific research talent knowledge sub-graph. In the matching process, according to the matching priority information of the target talent knowledge entity, the target research and development task corresponding to the target talent knowledge entity is rapidly determined, and the target research and development task is associated to the corresponding talent knowledge entity, so that the matching efficiency of scientific research talents and the research and development task is improved, the matching accuracy and rationality are ensured, and the research and development efficiency is improved. And scientific research resource allocation can be optimized, and smooth proceeding of scientific research projects can be promoted.

The invention relates to the technical field of electricity transaction, in particular to an hour-level green electricity transaction matching method and system considering a green certificate transaction blockchain, and the method comprises the following steps: S1, data collection and preprocessing: collecting the power generation operation data of a green electricity supplier and the power utilization behavior data of a user, preprocessing the collected power generation operation data and power consumption behavior data; s2, constructing a green certificate block chain: constructing a green certificate transaction platform based on a block chain technology, and recording green certificate transaction information; s3, establishing a matching model: constructing a multi-objective optimization model, and integrating multiple factors to carry out transaction matching; s4, transaction execution monitoring: after successful matching, executing the transaction and performing real-time monitoring; s5, transaction settlement evaluation: performing settlement and evaluation after the transaction is completed; according to the invention, the efficiency of green electricity transaction and the satisfaction degree of users and suppliers are effectively improved, and efficient utilization of green electricity resources and vitality improvement of the energy market are realized.

The invention provides an SLAM method based on end-to-end visual odometer and aerial view multi-sensor fusion, and belongs to the technical field of automatic navigation and mobile robots. According to the method, a visual odometer factor is designed by using a lightweight improved LoFTR network, so that the calculation amount is reduced, and the positioning and mapping precision and robustness of a visual robot in a structure-free and weak-texture environment are improved. A multi-sensor dynamic fusion model based on an aerial view is designed and constructed, and an IMU factor, a visual odometer factor, a laser odometer factor and a loopback detection factor are integrated. By introducing a self-adaptive weighting mechanism, weighted splicing is carried out on features from different sensors so as to realize optimal combination of feature information. According to the algorithm, the calculation amount is reduced, the calculation efficiency is improved, and the SLAM system can realize real-time or near-real-time positioning and mapping. In addition, the adaptive weighting strategy can be dynamically adjusted according to the actual environment and the sensor state, and the adaptability and flexibility of the algorithm in different scenes are improved.

The invention belongs to the field of model matching, and discloses a three-dimensional model matching method and device and electronic equipment, and the method comprises the steps: converting a to-be-matched three-dimensional model into first point cloud data, carrying out the preprocessing of the first point cloud data, setting a registration parameter according to a preprocessing result, extracting a first feature of the first point cloud data, and carrying out the matching of the first feature and the second feature; and registering the first feature with a second feature of the historical three-dimensional model according to the registration parameter to determine a matching result. Three-dimensional model matching is converted into feature matching, and the automation degree and efficiency of the matching process are improved. According to the method, feature extraction is performed on the first point cloud data to obtain the first feature, and then the first feature is registered with the second feature in the preset feature library, so that the similarity between the to-be-matched model and the historical model can be quickly and accurately evaluated. In the whole process, the dependence on professional modeling software is reduced, the consumption of manpower and computing resources is reduced, and meanwhile, the efficiency and accuracy of three-dimensional model matching are improved.

The invention discloses an employee matching method and system based on artificial intelligence, and belongs to the technical field of human resource matching, and the method comprises the following steps: resume analysis: automatically analyzing a resume of a job seeker, and extracting key information; position description analysis: automatically analyzing the position description of the recruitment enterprise, and extracting key requirements; feature matching: performing feature extraction and matching on the key information of the job seeker and the position through a deep learning algorithm; similarity evaluation: according to a feature matching result, evaluating a matching degree between the job seeker and the position, and giving a matching score; and user interaction: the job seeker and the recruitment enterprise query a matching result and related information through a user interface. According to the invention, through technologies of deep learning, natural language processing and the like, resumes of job seekers and position description of recruitment enterprises are automatically analyzed, so that efficient and accurate matching between the job seekers and positions is realized.

The embodiment of the invention discloses a commodity searching method and electronic equipment, and the method comprises the steps that a commodity searching interaction interface is provided, the interface comprises a first area and a second area, the first area is used for providing an artificial intelligence AI interaction component so as to receive a search demand expressed by a user in a mode of inputting a natural language statement, and the second area is used for providing a second area; through multiple rounds of interaction with an AI large model, receiving a statement which is input by the user under the heuristic of the reply content of the AI large model and is used for clearly expressing the search demand of the user; the second area is used for providing a plurality of attribute options for defining search requirements and a plurality of attribute value options corresponding to the attribute options according to interaction conditions in the first area so as to receive search requirement information expressed by the user in a mode of selecting attributes and attribute values; and in each round of interaction, carrying out information fusion on the input statements collected through the first region and the attributes and attribute value selection results collected through the second region so as to provide corresponding commodity search results according to information fusion results. Through the embodiment of the invention, the user can be helped to express the search demand, and the search efficiency is improved.

The invention relates to the technical field of artificial intelligence, and discloses a document information extraction method and device based on image-text modal fusion and a storage medium, and the method comprises the steps: obtaining a text block in a to-be-processed picture; extracting semantic vectors from the text blocks according to a pre-trained NLP model, extracting visual vectors by adopting a computer vision technology, and fusing the semantic vectors and the visual vectors through an attention mechanism to form feature representation of image-text fusion; according to the image-text fusion features, constructing a full-connection directed graph; on the constructed graph network, graph attention convolution of a'node-edge-node 'ternary feature group is executed; important'text-position-text 'ternary information is dynamically weighted through a self-attention mechanism; and outputting a feature vector fused with text, vision and position information. Through deep fusion of the text, vision and position information, the accuracy and robustness of text information matching are remarkably improved, and the method can adapt to a complex and changeable image text environment.

The invention discloses an automatic stability control method and platform for a complex working condition power system, and relates to the technical field of power system automation. Comprising the following steps: information acquisition: acquiring past information, equipment information and user basic information, wherein the past information comprises past weather information and past renewable energy trend; according to the invention, through the set matching prediction method, the predicted renewable energy trend can be predicted according to the real-time weather information, through the set matching method, the predicted power consumption trend can be predicted according to the real-time time period, and through predicting the renewable energy trend and the power consumption trend in the future time period, response and planning can be made in advance. The energy distribution is targeted, the power system can operate stably, the operation condition of the equipment is monitored in real time through the set monitoring and adjusting method, and the distributed energy is further optimized and adjusted according to the operation condition of the equipment, so that the economic benefit is ensured under the condition that the power system operates stably.

The invention discloses a carbon sink trading market supply and demand matching method, a computer device and a medium. The method comprises the following steps: collecting multi-source data information of a target carbon sink project, and preprocessing the multi-source data information to obtain a first data set; analyzing the first data set based on a constructed market multi-dimensional feature space model to obtain target market information corresponding to the target carbon sink project; target market information is analyzed based on the constructed market dynamic network model, target intention party information is identified, and the target intention party information comprises key market participants and transaction modes thereof; and analyzing the target intention party information based on a preset supply and demand matching algorithm to obtain market supply and demand matching information of the target carbon sink project. The method not only can accurately describe a complex carbon sink trading market structure, but also can process large-scale and high-frequency trading demands, and makes a real-time response to the dynamic change of the market, so that the supply and demand matching of the carbon sink trading market is more accurate, timely and effective.

The invention discloses a flow-based local message classification method and device, and relates to the field of message classification, and the method comprises the steps: carrying out the parallel comparison of a keyword of a to-be-classified message with a keyword temporarily stored in a shift register, obtaining a comparison result, and generating an index matching result through an arbiter according to the comparison result; according to the locality principle of a message flow, historically queried table item information is cached into a dynamic cache table, an arbiter arbitrates a comparison result of a shift register, calculates an offset address of the dynamic cache table and obtains a matching result, and whether an original rule table needs to be queried and whether a dynamic cache table memory needs to be updated are determined according to a search result. Under the condition that the matching is unsuccessful, the dynamic cache table memory can guide the same message to directly use the offset address to obtain the table item information in the next search without searching from an original rule table, so that the hit rate is increased, the matching efficiency is improved, and the storage resources are saved.

The invention discloses a spine segmentation and matching method for books in a natural placement state, and the method comprises the steps: S1, enabling a YOLOv5 network to serve as the front end of a book image, and obtaining a vertical spine image as network input; step 2, a Deeplab v3plus network is used as a spine segmentation network, and a Dense RA-ASPP framework is used to replace an ASPP framework in the Deeplab v3plus network; step 3, adding a CBB module into the Deeplab v3plus network, wherein the CBB module is added into the Deeplab v3plus network; 4, acquiring VGG features, low-frequency features, high-frequency features and high-frequency and low-frequency fusion features of the spine by using VGG16 and FHNet; the method comprises the following steps: step 1, carrying out color clustering on a book spine matching feature library, step 2, carrying out color clustering on the book spine matching feature library, step 3, carrying out color clustering on the book spine matching feature library, step 5, carrying out cascading processing on the color clustering and spine matching feature library to obtain a depth feature cascading matching method, and step 6, segmenting a book image by using Y-Deeplab v3plus to obtain an accurate spine image as a query image of the depth feature cascading matching method, and carrying out depth feature extraction and matching on the query image to obtain a matching result of the spine image. According to the method, the accuracy of spine segmentation and matching can be effectively improved, and the efficiency of spine matching is improved.

The invention discloses a fast self-adaptive impedance matching method and system and a wireless power transmission system, an MCU enables a pi-type impedance matching network to be in a short circuit state by controlling a relay switch, two groups of reflection coefficients of the system are obtained through measurement of an amplitude phase measurement circuit, and two groups of input impedance are calculated; and calculating to obtain a theoretical optimal capacitor combination corresponding to each input impedance. And actually measuring the reflection coefficients of the two input impedances in the corresponding theoretical optimal capacitor combination, wherein the capacitor combination with the smaller reflection coefficient is the actual optimal capacitor combination. Furthermore, according to the method, a local optimal solution is searched around an actual optimal capacitor combination, and re-impedance matching is completed. And dynamically monitoring the input impedance of the system under the given frequency, and repeating the steps when the change of the input impedance exceeds a set threshold value. According to the method, theoretical calculation is combined with hardware testing, the matching efficiency of the system is greatly improved, in addition, the influence of parasitic parameters on the matching precision of the system can be effectively avoided through a local optimization control algorithm, the transmission efficiency and stability of the system are further improved, and good practicability is achieved.

The invention provides a part matching method and device based on a basic model, equipment and a medium, and relates to the technical field of part similarity matching, and the method comprises the following steps: when the contour dimension information of a to-be-matched part and the contour dimension information of a target part meet a preset contour dimension matching condition, matching the contour dimension information of the to-be-matched part with the contour dimension information of the target part; the global feature of the to-be-matched part image and the global feature of the target part image are obtained; otherwise, it can be directly determined that the to-be-matched part is not matched with the target part, so that a subsequent judgment process does not need to be carried out, and most unmatched target parts can be filtered out through the step; when the global feature of the to-be-matched part image and the global feature of the target part image meet a preset global feature matching condition, performing finer local feature matching; the matching efficiency of the parts is relatively high; according to the invention, the part matching accuracy can be improved.

The invention relates to the technical field of optical communication, in particular to an LPO optical module transmitting end gain self-adaptive control method and system and an optical module, and the method comprises the following steps: obtaining a maximum gain peak value and an output amplitude collection value of an LPO optical module state machine in a normal operation state; based on the output amplitude acquisition value and the temperature lookup table fitting calculation, determining a comprehensive output amplitude; comparing the comprehensive output amplitude with a target gain; and the optical module firmware adaptively adjusts the transmitting end gain of the LPO optical module based on the comparison result and by integrating the maximum gain peak value. According to the invention, different switch ports and different high and low temperature environments can be adaptively matched, the matching efficiency between the LPO optical module and the switch can be effectively improved, and unnecessary manpower construction cost and maintenance cost of an application end and various errors and errors introduced by manual debugging are reduced.

The invention discloses a priority-driven hybrid shared parking and charging resource optimization method, and aims to solve the problems of unreasonable resource allocation, unbalanced supply and demand of parking spaces and low utilization rate of charging parking spaces of an existing shared parking lot. The method comprises the following steps: firstly, constructing a priority matching mechanism of multiple types of parking spaces and parking demands, setting priorities according to parking demand types and parking space attributes, and preferentially meeting the matching of mixed demands and charging parking spaces; secondly, parking space and demand data of a parking lot are collected, an optimization model with operation profit maximization as a target is constructed, and target functions comprise profit, cost and penalty cost; the timeliness and rationality of supply and demand matching are ensured by introducing the time window constraint of the parking demand and the shared parking space supply; and establishing a constraint relationship between demand and supply, and optimizing the resource allocation efficiency. The parking and charging resource utilization efficiency can be remarkably improved, the user experience is improved, the parking problem is relieved, and popularization of the shared parking policy is facilitated.

The invention discloses a gray release method, device and equipment of a service system, a medium and a product. The invention relates to the technical field of computers. The method comprises the steps of determining a request identifier of a service request received by a service system when it is detected that a gray release function of the service system is in an open state; determining a route matching channel corresponding to the request identifier, and matching the service request based on the route matching channel to obtain corresponding route information; determining a target system environment corresponding to the service request based on a system environment identifier in the routing information; forwarding the service request to a corresponding request service node based on a load balancing address in the routing information; and responding to the service request in the target system environment through the request service node to obtain a processing result of the service request. According to the technical scheme, the routing information of the service request can be finely controlled, the routing matching efficiency can be improved, and the routing matching accuracy can also be improved.

The invention discloses a method and system for measuring the volume of a dry bulk material pile by using a storage yard camera, and the method comprises the steps: installing a high-definition camera at the periphery of a storage yard or on mobile operation equipment, and collecting the image data of the storage yard; preprocessing the data; carrying out image matching based on an improved SIFT algorithm; reconstructing a three-dimensional structure of the storage yard; wherein the improved SIFT algorithm specifically comprises the following steps: during feature point matching, performing rough matching on feature points according to Euclidean distance, connecting rough matching pairs, comparing an included angle between connecting lines with a preset angle threshold value, removing wrong matching pairs, obtaining feature point matching pairs after fine matching, and performing image matching; segmenting and extracting point cloud data of the material pile, converting the point cloud data into a triangular network model, and calculating the volume of the material pile by using definite integral with the ground of the storage yard as the bottom surface. The method can be specifically applied to large dry bulk cargo collecting and distributing port stations or warehouses such as ports, power plants and coal storage bases, and the material pile volume of a storage yard can be rapidly and accurately obtained in real time.

The invention belongs to the technical field of tobacco processing, and discloses a stacking positioning recognition method, a stacking automatic feeding device and a cigarette packaging supply line. The stacking positioning identification method comprises the following steps: S1, pre-generating a template image and inputting the template image into a database; s2, shooting a material field source image; s3, pre-matching the source image with a template image in a database, and screening out a first image group; and S4, the source image is accurately matched with the first image group, and accurate stacking information is obtained. By pre-generating the template image, the time for generating the template image in the image matching process is shortened; the range of the template image needing to be matched is narrowed through pre-matching, and then the source image is accurately matched, so that the image matching efficiency is improved, and the tobacco production and processing efficiency is improved.

The invention provides a receipt matching method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining receipt information of a to-be-matched receipt, the receipt information comprises a receipt number and transaction data, determining a first matched receipt and a first corresponding receipt according to the receipt number and the transaction data, and building an association relationship between the first matched receipt and the first corresponding receipt; classifying a first document field of the first matched document and a second document field of the first corresponding document through a preset text classification model, and judging a field matching result of the first document field and the second document field according to a classification result and a preset matching rule, matching the first matching document with the first corresponding document based on the field matching result and the association relationship; through the method, a more practical and more accurate receipt matching method is provided, so that receipt matching is more accurate and efficient.

The invention relates to a vibration excitation method and system based on impedance identification, and the method comprises the steps: carrying out the frequency domain conversion of force-speed data obtained by a displacement closed-loop system, and obtaining the mechanical impedance of a drive point; performing flexibility compensation on the mechanical impedance of the driving point to obtain the real impedance of the structure end; extracting an imaginary part and constructing a matching residual error by using the real impedance of the structure end, correcting the excitation frequency of the current vibration exciter through gradient frequency, and iteratively determining the optimal excitation frequency of the vibration exciter meeting a convergence condition; mechanical active power generated by the vibration exciter is calculated under the optimal excitation frequency, dual-target optimization is carried out on the amplitude of the vibration exciter, and the optimal amplitude with the maximum mechanical active power and the minimum equivalent output of the actuator is obtained; based on the real impedance of the structure end, the matching criterion and the optimal amplitude, variable parameters are introduced to construct a source-side impedance model, a source-side impedance matching frequency domain interval is expanded through slow time mark setting parameters, and mechanical active power generated by a vibration exciter is coupled to a tested structure.

The invention provides a book resource conversion and teacher resource full-chain service system, and belongs to the technical field of education service platforms, and the system comprises a user management module which responds to registration and login requests of institution users and teacher users, and allows the institution users and the teacher users whose identity information passes verification to operate within an allocated permission range; the course issuing and order grabbing module responds to course issuing operation of the institution user and order grabbing operation of the teacher user to establish a course transaction, and manages messages and payment of both sides of the course transaction; and the occupational promotion course management module is used for generating occupational promotion courses for the teacher users, receiving selected courses for playing and learning corresponding courses, and carrying out learning authentication on the teacher users after learning is completed. According to the invention, the matching efficiency is improved through the course release and order grabbing mode, the traditional screening and communication time is shortened, systematized occupational promotion courses and learning paths are provided for teachers, and professional growth and occupational development of the teachers are promoted.

The present invention discloses a method and device for feature extraction and matching of satellite video images, which can solve the problem of real-time or near-real-time application of satellite video. The satellite video image to be matched is determined, corner points are extracted from the satellite video image to be matched; the corner points are filtered; based on the filtered corner points, the satellite video image to be matched is characterized, and a feature vector representing the satellite video image to be matched is obtained; and the feature vectors of the satellite video image to be matched are matched.

The invention relates to the technical field of waterway transportation, in particular to a bulk cargo ship cargo matching method, device, equipment and medium based on a heuristic algorithm, and the method comprises the steps: obtaining the current bulk cargo ship route loading data, and recognizing the bulk cargo return route cargo quantity according to the current bulk cargo ship route loading data; generating a market quotation index according to the bulk transportation return goods quantity, and analyzing according to the current market quotation index to obtain goods package demand data; when a goods package completion message triggered according to the goods package demand data is obtained, a preset ship constraint condition is obtained, and feasible ship information is obtained according to the ship constraint condition; calculating a ship scheduling initial scheme according to the feasible ship information, and calculating the ship scheduling initial scheme to obtain a to-be-matched ship scheme; and simulating each to-be-matched ship scheme, generating a ship scheme sequence according to a simulation result, and generating a ship scheduling scheme according to the ship scheme sequence. The method has the effect of solving the problems of low efficiency and slow decision of bulk cargo ships in the aspect of ship and cargo matching.

The invention provides regular expression feature extraction and matching methods and devices, equipment and a readable medium, and belongs to the technical field of communication. The regular expression feature extraction method comprises the steps that a regular expression is analyzed, and information of meta-characters in the regular expression is determined; performing feature extraction on the regular expression according to the information of the meta characters to obtain at least one continuous character substring; and determining a longest combined feature substring based on the at least one continuous character substring, and taking the longest combined feature substring as a feature corresponding to the regular expression. The method is used for improving the regular expression matching efficiency.

The invention relates to the technical field of intelligent recruitment matching, and particularly discloses an intelligent voice interaction recruitment matching method and system based on a large language model, and the method comprises the steps: receiving recruitment demands and interview questions uploaded by a recruitment end, and storing the recruitment demands and interview questions in a knowledge base; receiving a job hunting request which is uploaded by a job hunter and contains resume information, retrieving the knowledge base based on the resume information, and screening out a matched recruitment end; sending the matched recruitment end as a recommended post to the job seeker, and receiving a selection request of the job seeker; an interview environment is created based on interview questions in the knowledge base, interview is performed on the job seeker, and an evaluation result is generated; and generating an interview condition oriented to the recruitment end and job hunting suggestions oriented to the job hunters based on the evaluation result. According to the invention, the matching degree between the job seeker and the post is improved, the occurrence of invalid interviews is reduced, the job seeker is helped to better prepare interviews, the interview passing rate is improved, the recruiter can more quickly screen out proper candidates, and the recruitment efficiency is improved.

The invention belongs to the technical field of communication, and provides an ACL optimization method and system, electronic equipment and a computer storage medium. The method aims at solving the problems that in the prior art, along with the increase of the number of rules, a linear search mode becomes slower and slower, and the data packet processing speed and the overall network performance are affected; and in the re-numbering process, the original rule is temporarily invalid, so that the short service interruption is caused. Comprising the following steps: constructing a matching hash table and an action hash table, when a data packet arrives, obtaining all matching fields of the data packet, matching all the matching fields with the matching hash table, correspondingly obtaining all rule codes, and combining all the rule codes into a bitmap; performing priority processing on the bitmap to obtain a rule code with the highest priority; and taking the rule code with the highest priority as a key, searching a corresponding action in the action hash table, and processing the data packet according to the action.

The invention relates to the technical field of informatization, in particular to a target data processing method and device, and the method comprises the steps: taking dynamic metadata and a dynamic simplification mapping table corresponding to the dynamic metadata as parameters through a transmitting end, and transmitting the parameters to a first simplification coding and decoding program; performing simplified coding on the dynamic metadata, the dynamic simplified mapping table, the static mapping table and the protocol format through a first simplified coding and decoding program to obtain coded data; sending the coded data and protocol data corresponding to the coded data to a receiving end through a sending end; after the receiving end receives the coded data, the coded data and the dynamic simplified mapping table are sent to a second simplified coding and decoding program through the receiving end; and decoding the data formats of the coded data, the dynamic simplification mapping table, the static simplification mapping table and the protocol data corresponding to the coded data through a second simplification coding and decoding program to obtain decoded data, and the method can improve the integrity of the data and the efficiency of reliability data matching.

The invention relates to a big data technology, and provides a fund party data allocation method and device based on big data and a storage medium, and the method comprises the steps: carrying out the stage classification of a financing demand obtained from a financing party in advance, and obtaining a financing stage corresponding to the financing demand; constructing a sparse matrix of the financing party according to the financing stage, and performing financing data filling on the sparse matrix to obtain a demand matrix of the financing party; calculating the degree of adaptation between the demand matrix and table data in historical data configuration tables obtained from a fund party in advance, and selecting the historical data configuration table corresponding to the maximum degree of adaptation in the degrees of adaptation as a template table of the demand matrix; and performing data adjustment on the table data in the template table by using fund flow data obtained from a fund party in advance, and performing financing configuration on the financing party according to the template table after data adjustment. According to the invention, the fund party data allocation efficiency can be improved.