41results about How to "Improve build accuracy" patented technology

The invention provides a presentation document generation method and device, electronic equipment and a storage medium, relates to the technical field of artificial intelligence, and is suitable for the field of financial science and technology. The method comprises the following steps: performing information analysis on document generation indication information to obtain a document guide language and a document generation intention; selecting elements according to the document generation intention to obtain at least two document elements; generating a document outline structure according to each document element and the document guide language; wherein the document outline structure comprises a basic document page, and the basic document page is provided with a demonstration guide text; performing material selection on a pre-constructed structured database according to the demonstration guide text to obtain a target material and material attribute information; updating the basic document page according to the target material and the material attribute information to obtain a target document page; and replacing the basic document page in the document outline structure with the target document page to obtain a target demonstration document. According to the method, the presentation document generation accuracy can be improved, and personalized requirements of users are met.

The invention discloses a three-dimensional model construction method and device of a scene and electronic equipment. The method comprises the following steps of: acquiring video data of a target scene by using video acquisition equipment deployed in a plurality of visual angles to obtain a plurality of pieces of video data; acquiring multiple pieces of feature data in the multiple pieces of video data, and fusing the multiple pieces of video data based on an association relationship among the multiple pieces of feature data to obtain a fusion result; depth information of the target scene is extracted from the fusion result, an initial three-dimensional model of the target scene is constructed based on the depth information, and the depth information is used for representing the distance between the target scene and the video acquisition equipment; determining an evaluation result of the initial three-dimensional model; and determining the initial three-dimensional model of which the evaluation result meets an evaluation result threshold as a target three-dimensional model of the target scene. According to the invention, the technical problem of low accuracy of three-dimensional model construction of a scene is solved.

The invention discloses a construction process construction method based on ship construction process management, and relates to the technical field of ship construction. In order to solve the problems that in the prior art, establishment of a product structure tree and a process structure tree cannot provide a visual and effective ship building process for users and process construction personnel, and the accuracy and reliability of data are low. The construction process construction method comprises the following steps that 1, a ship construction scheme is determined; step 2, constructing a ship construction process; step 3, optimizing a construction process; 4, monitoring the construction process in real time; by establishing a ship three-dimensional model, carrying out stress analysis and structure optimization on the model, unnecessary material use is reduced, so that the construction cost is reduced, the weight of a ship body is reduced, the navigation efficiency is improved, potential problems and risks can be found and solved in advance by simulating the ship construction process, delay and accidents in the actual construction process are reduced, and the ship construction efficiency is improved. And the construction efficiency and the safety are improved.

The invention relates to the technical field of ocean engineering and electric power engineering, and discloses an assembly type fan jacket and a construction method thereof.A first supporting node and a second supporting node are connected, connection between pipe bodies is achieved, and solidification media are poured into the first supporting node and / or the second supporting node, so that the pipe bodies are connected. After the curing medium is cured, the bearing capacity of each supporting node of the jacket is improved, premature yield and deformation of each supporting node can be delayed or even inhibited, the phenomenon of plastic deformation under the action of external force is avoided, and the supporting performance of each supporting node can be better exerted.

The invention discloses an image generation method and system, electronic equipment and a computer program product, and relates to the field of large model technology and image processing. The method can comprise the steps that an initial scene image to be processed is determined, and the image content of the initial scene image comprises at least one display object; determining an auxiliary object image to be drawn at a target position in the initial scene image; based on the auxiliary object image, the target position and the initial scene image, a posture image and an object mask image of the auxiliary display object are determined, the posture image is used for representing the posture of the auxiliary display object, the object mask image is used for representing an image area where the auxiliary display object is located in the initial scene image, and the image area comprises the target position; and analyzing the attitude image, the object mask image and the initial scene image by using the redrawing model to obtain a target scene image. The technical problem of low image generation accuracy is solved.

The embodiment of the invention provides a verification code file generation method and device, equipment, a medium and a program product, and the verification code file generation method comprises the steps that an editing interface is displayed, in response to a configuration operation for the editing interface, domain knowledge of a target domain is obtained, the editing interface comprises a configuration area and guide information, and the domain knowledge is stored in the target domain; the guide information is used for guiding the front end to input domain knowledge in the configuration area, and the domain knowledge is used for representing a logic rule of a verification task in the target domain; based on the domain knowledge, verification guiding prompt information is constructed, and the verification guiding prompt information is used for guiding generation of a verification code file according to a logic rule; and calling a code generation model, generating a verification code file containing verification logic based on the prompt information, and deploying the verification code file to the target verification platform. Structured domain knowledge is collected through a guide type interface, accurate prompt information is automatically constructed, a verification code file conforming to a domain rule is generated, and the generation accuracy and efficiency are improved.

The invention discloses a multifunctional image generation method convenient to interact. The method comprises the steps of receiving an input image generation control condition and performing preprocessing; the image generation control condition comprises a text prompt, an entity condition graph and a background graph; performing global guidance denoising on the initial noise image through the generative model to obtain a noise image; self-adaptive positioning of a local control region is realized by using a cross attention graph in the generative model; according to the positioned local control region, performing multi-level feature fusion on the preprocessed entity condition graph and background graph to obtain multi-modal coding features; visual control features are obtained from the multi-modal coding features through a visual control adapter, the visual control features and global intermediate layer features in the generative model jointly guide the generative model to denoise a noise image, and image generation is achieved. According to the method, the problems of inconvenient interaction, poor image quality and single function in the field of multi-modal image generation are solved, and the performance of multi-modal image generation and the user experience are remarkably improved.

The invention provides an instruction fine tuning data generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining domain background data, inputting the domain background data and a first instruction into a preset large language model, and enabling the preset large language model to output problem data based on the domain background data and the first instruction; and inputting the question data, the domain background data and the second instruction into a preset big language model, so that the preset big language model answers the question data based on the domain background data and the second instruction, and outputting answer data. The field background knowledge to which the instruction fine-tuning data belongs is added as one-dimensional input, so that the large language model can generate the instruction fine-tuning data based on the related field background knowledge, the field correlation of the instruction fine-tuning data is ensured, and the accuracy of the instruction fine-tuning data is improved. And in addition, field background knowledge can be referred to in the question and answer generation stage, the correctness of answer data is improved, and the accuracy of instruction fine adjustment data is further improved.

The invention relates to the technical field of unmanned aerial vehicles, in particular to a complex network model construction system for unmanned aerial vehicle take-off and landing site selection. Comprising a processor and a memory in which a computer program, an initial unmanned aerial vehicle take-off and landing point set, a predicted flight route set, a take-off and landing point position importance degree set, a first traffic flow set, a first building interference degree set, a route abnormal degree set and a route length set are stored. Obtaining a take-off and landing point weight corresponding to an initial unmanned aerial vehicle take-off and landing point and a flight route weight corresponding to a predicted flight route, taking the initial unmanned aerial vehicle take-off and landing point as a node, the predicted flight route as an edge, the take-off and landing point weight as a node value and the flight route weight as an edge value of the corresponding edge, and obtaining a complex network model; the target unmanned aerial vehicle take-off and landing point is screened from an initial unmanned aerial vehicle take-off and landing point set, the construction accuracy of a complex network model is improved, and the site selection reasonability of the unmanned aerial vehicle take-off and landing points is improved.

The invention relates to a repayment risk prediction method and system based on financial credit business, and the method comprises the steps: obtaining the asset income and expenditure information and loan record data of a loan user, carrying out the data desensitization transcoding, and carrying out the data association processing, and obtaining the income and expenditure associated data of the loan user, carrying out repayment feature correlation analysis on the bank flow of the loan user, analyzing a repayment feature association relationship of the loan user according to a correlation degree between repayment features, and obtaining historical repayment data of the loan user; and performing data training on the historical repayment data and the repayment feature association relationship, constructing a repayment risk prediction model when the loan user performs the credit service, obtaining an expected loan amount of the loan user, inputting the expected loan amount into the repayment risk prediction model, performing repayment risk prediction processing on the current credit service, and obtaining a repayment risk prediction result. And obtaining a current loan repayment risk prediction result of the loan user. The method has the effect of improving the repayment risk prediction accuracy of the financial credit business.

The invention relates to the technical field of object scanning, in particular to a polarized light scanning method and system based on LED virtual shooting digital assets, and the method comprises the steps: obtaining each alternative feature point in a non-highlight polarization image in different cross polarization directions corresponding to different shooting angles, and the SIFT vector of the alternative feature point; according to the local area of each alternative feature point, analyzing a neighborhood gray scale difference condition, a diagonal feature obvious degree and a polarization characteristic similar condition to determine a texture feature, and further selecting all target feature points; and according to the gray value, the texture feature and the SIFT vector of each target feature point, target feature point matching between different polarization images is carried out to obtain a fusion image, and then the LED virtual shooting digital assets of the object are constructed. According to the method, feature point selection and feature point matching in the process of scanning the object by the polarized light are improved, so that the construction accuracy of the LED virtual shooting digital assets of the object is improved.

The invention belongs to but not limited to the technical field of antennas, and particularly relates to an automatic tuning transmitting antenna and method for RS103 testing, and the antenna comprises an antenna array pipeline which enables a length-variable antenna array to stretch out and draw back in the pipeline; the tunable antenna array is made of soft and thin copper foil, can bear large current and is wound on a rotary column of the program control motor, and the length of the antenna array is adjusted through rotation of the program control motor; the optical fiber interface is connected with an optical fiber of a program control motor, and program control of the motor used by the antenna array is completed through program control software of the test system; the coaxial port is connected with an output power coaxial line of the radio frequency power amplifier, so that the output power of the radio frequency power amplifier is transmitted to the antenna array, and the antenna array generates required field intensity at a position of 1m; and the program control motor is used for controlling the lengths of the antenna arrays at different frequencies, controlling the rotation of the motor through the program control software of the test system, and adjusting the lengths of the arrays.

The application provides a point cloud encoding method and device based on a prediction tree, equipment and a storage medium. The method comprises the following steps: obtaining a target point cloud, the target point cloud comprising N points; constructing a main prediction tree based on part of the main nodes in the N points; inserting the adjacent points of the main nodes in the remaining points into the main nodes to obtain a target prediction tree of the target point cloud for each main node in the main prediction tree; and encoding the target point cloud based on the target prediction tree. That is, the application takes the main nodes as the center, optimizes the connection relationship between the local points, and prevents the connection of points far away from each other. The target prediction tree obtained in this way realizes the optimal ordering of the local points, improves the construction accuracy of the target prediction tree. When prediction is performed based on the accurately constructed target prediction tree, the prediction accuracy of the target point cloud can be improved, and the encoding efficiency of the target point cloud is further improved.

This invention relates to the field of machine vision and intelligent manufacturing inspection technology, and discloses a visual inspection method for the assembly state of a balance wheel based on multi-view image fusion. The method involves acquiring multi-view images of the balance wheel, extracting rigid body edge feature sets using a multi-scale edge detection operator, generating a spatial compensation matrix based on the linear expansion coefficient and projective geometric invariance, and establishing a three-dimensional spatial coordinate system. It also involves calculating the inner product of multi-view gradient vectors to generate a mask scalar that shields preset spatial points, outputting the target topology network; extracting the non-rigid body displacement time series and obtaining feature accelerations through second derivative calculation, and calculating the deformation compensation vector using the stress relaxation time constant; superimposing the deformation compensation vector onto the three-dimensional spatial coordinate system to drive displacement mapping, generating a three-dimensional model of the target assembly, and outputting defect and assembly tolerance parameters.

The invention relates to the technical field of fusion perception, and discloses a life body perception method and device based on multi-dimensional model fusion perception, and the method comprises the steps: obtaining image information of a detection environment, the image information being used for generating first perception information of the detection environment based on a first perception model; according to the image information, whether the detection environment meets a preset multi-dimensional model fusion perception condition used for representing that an application confidence value of the first perception model is larger than or equal to a preset application confidence threshold value is judged, the application confidence value is used for representing the adaptation degree between the detection environment and the first perception model, and when the judgment result is yes, the detection environment is detected; according to the first perception information, verifying obtained second perception information of a second perception model for the detection environment to obtain a model fusion perception verification result of the second perception information; and according to a model fusion perception verification result, generating life body perception information of the detection environment. Therefore, the method can detect the accuracy and comprehensiveness of life body perception of the environment.

Embodiments of the present disclosure disclose a process page display method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises: in response to receiving a process page rendering request, obtaining code information and a set of business processing criteria information; generating initial full business process information; verifying the execution relationship between the initial full business process information, obtaining full business process information; rendering the full business process information and rendering and displaying it on the process page; in response to selecting selection information, generating a matching business batch as a first business batch; and displaying the corresponding business process processing tree on the process page. This embodiment can accurately render the corresponding business process information on the process page after receiving the business data related to the business process generation uploaded to the process page, and can set various page filtering operations for the business process information, greatly improving the rendering efficiency of the business process.

This invention discloses a method for constructing a multi-layered assembly of engine room sections and a ship constructed using the same method. The method includes the following steps: S1, manufacturing engine room sections and pre-assembling them off-site to form pre-assembly engine room sections; S2, painting the pre-assembly engine room sections in a painting workshop; S3, transporting the pre-assembly engine room sections and assembling them locally to form the complete engine room section; S4, mounting the complete engine room section onto the ship's hull via a dry dock. This method can reduce manufacturing costs and difficulty. Off-site pre-assembly and integrated painting improve site utilization efficiency. Through simulation prediction, inverted manufacturing of engine room sections and application of reverse pre-compensation can reduce corrections. By setting up inverted welding of engine room sections, no additional scaffolding is needed, reducing costs. By setting up the flipping of engine room pre-assembly sections, the number of flipping and lifting / disassembling operations is reduced. By aligning the joints in the longitudinal direction, structural continuity and assembly accuracy are ensured.

The embodiment of the invention provides a PCIe asset information generation method and device and a program product, and is applied to the technical field of computers. The method comprises the following steps: for each PCIe slot position on a mainboard of the electronic equipment, determining a first bandwidth allocated for the PCIe slot position according to PCIe equipment accessed into the PCIe slot position; determining a second bandwidth of each RC according to a preset first mapping relationship between the RC and the PCIe slot and the first bandwidth allocated for each PCIe slot; and generating PCIe asset information of the electronic equipment according to the second bandwidth of each RC. The method is used for achieving the effect of improving the asset information generation accuracy of the computer system.

The present application provides a method, device, electronic device and storage medium for generating a match summary text, obtaining a match structured information sequence including multiple match description information and a match description type to which each match description information belongs; inputting the match structured information sequence into a pre-trained text generation model so that the text generation model outputs a predicted text sequence corresponding to each match description information, and determines the text order of multiple predicted text sequences according to the match description type; and splicing multiple predicted text sequences according to the text order of each predicted text sequence to obtain a match summary text. In the present application, the obtained match structured information sequence is directly input into the text generation model, and the predicted text sequence is obtained by processing the structured data by the text generation model, and then the match text summary is obtained, which reduces the steps of generating natural language from data and the amount of data processing, and helps to improve the efficiency of text generation.

The invention relates to the technical field of curtain adjustment, and provides a curtain environment self-adaption method and system based on artificial intelligence, and the method comprises the steps: calculating the solar elevation angle corresponding to a to-be-adjusted curtain, and calculating the solar horizon longitude corresponding to the to-be-adjusted curtain; detecting an application scene main body corresponding to a to-be-adjusted curtain, collecting light data and temperature data of a geographic position, analyzing a light polarization state corresponding to the to-be-adjusted curtain, analyzing a temperature distribution field corresponding to the to-be-adjusted curtain, and constructing a simulation illumination model corresponding to the to-be-adjusted curtain; the luminous flux density value of the to-be-adjusted curtain is calculated, and the light transmission coefficient corresponding to the to-be-adjusted curtain is calculated; evaluating the optimal illumination intensity of the application scene main body, determining the optimal adjustment angle corresponding to the to-be-adjusted curtain, and performing adjustment processing on the to-be-adjusted curtain based on the optimal adjustment angle to obtain an adjustment result. The invention aims to improve the accuracy of curtain environment self-adaption.

The application provides a point cloud encoding method and device based on a prediction tree, equipment and a storage medium. The method comprises the following steps: obtaining a target point cloud, the target point cloud comprising N points; constructing a main prediction tree based on part of the main nodes in the N points; inserting the adjacent points of the main nodes in the remaining points into the main nodes to obtain a target prediction tree of the target point cloud for each main node in the main prediction tree; and encoding the target point cloud based on the target prediction tree. That is, the application takes the main nodes as the center, optimizes the connection relationship between the local points, and prevents the connection of points far away from each other. The target prediction tree obtained in this way realizes the optimal ordering of the local points, improves the construction accuracy of the target prediction tree. When prediction is performed based on the accurately constructed target prediction tree, the prediction accuracy of the target point cloud can be improved, and the encoding efficiency of the target point cloud is further improved.

The invention provides a text abstract generation method and device, electronic equipment and a storage medium, and belongs to the technical field of financial science and technology. The method comprises the steps of obtaining an original text and a preset knowledge graph; performing theme classification on the original text based on the text theme classification model to obtain a text theme category; performing abstract generation on the original text and the text subject category based on an abstract generation model to obtain candidate abstract texts; performing entity relationship detection on the candidate abstract text based on a preset knowledge graph to obtain an entity relationship matching degree; performing text feature extraction on the candidate abstract text to obtain candidate text features; performing text feature extraction on the original text to obtain original text features; and performing text selection on the candidate abstract text according to the entity relationship matching degree, the candidate text features and the original text features to obtain a target abstract text. According to the embodiment of the invention, the text abstract generation accuracy can be improved.

The present application belongs to the field of computer technology, and specifically relates to a training method for a summary extraction model, a text summary generation method and related equipment. Embodiments of the present invention can be applied to various scenarios such as cloud technology, artificial intelligence, smart transportation, and assisted driving. The method includes: obtaining a first loss function for training a summary extraction model; periodically updating the training parameters of an auxiliary encoder according to the training parameters of the encoder; calculating a first similarity between a text encoding of a text sample and a summary encoding of a corresponding summary sample, calculating a second similarity between the text encoding of a text sample and summary encodings of other summary samples, and determining a second loss function according to the first similarity and the second similarity; and training the summary extraction model together through the first loss function and the second loss function. Based on the present application, the accuracy of text summary generation of the summary extraction model can be improved, so that the generated text summary is more consistent with the semantics of the original text to be processed.

The application discloses a kind of dam deformation prediction method, equipment, storage medium and product, the prediction method includes preprocessing to dam monitoring data;The environmental data after pretreatment is extracted to depth feature, and environment characteristic is obtained;The reservoir water level after pretreatment and environment characteristic are carried out cluster analysis, and according to the time domain division of time factor and dam survey point displacement according to cluster analysis result, obtain the cluster division result of different time periods;According to each cluster division result, respectively construct sample data set;Each sample data set is used to train and test Transformer-LSTM model respectively, and the dam deformation prediction model of each time period is obtained;Obtain the data to be predicted, and the dam deformation prediction model corresponding to the time period of the data to be predicted is used to predict the prediction data, and the dam deformation prediction result is obtained.The dam deformation prediction precision of the application is improved.

The invention relates to the technical field of vehicle control, and particularly discloses a method and device for automatically planning a path in a vehicle driving process, and the method comprises the steps: determining the coordinates of a target actual position where a vehicle needs to drive based on the collected current actual position coordinates of the vehicle and the current driving item of the vehicle; the method can improve the determination accuracy of the coordinates of the target actual position where the vehicle needs to run, generates the path planning curve of the vehicle according to the coordinates of the current actual position of the vehicle and the coordinates of the target actual position of the vehicle, and automatically drives the vehicle when it is judged that the generated path planning curve meets the predetermined automatic driving conditions of the vehicle. If the minimum turning radius limit is met, the automatic driving data of the vehicle is generated according to the path planning curve, the generation accuracy of the automatic driving data of the vehicle can be improved, the accuracy of automatic driving planning of the vehicle can be improved, and therefore the convenience and safety of vehicle teaching are improved.

The present application discloses a device fault analysis method and related device, electronic equipment and storage medium, wherein the device fault analysis method comprises: obtaining target text about fault state of a target device; processing the target text based on a first large model to obtain a first fault analysis text, and processing the target text based on a second large model to obtain a second fault analysis text; wherein the first large model is obtained based on an initial large model through parameter fine-tuning, and the second large model is generated by retrieval enhancement; comparing a first confidence of the first fault analysis text with a second confidence of the second fault analysis text to obtain a first comparison result; and obtaining a target fault analysis text of the target device based on the first comparison result, the first fault analysis text and the second fault analysis text. The above scheme can improve the accuracy of the target fault analysis text while improving the robustness of the device fault analysis.

This application provides a method, apparatus, equipment, and medium for generating a secondary safety measures sheet for a technical upgrade substation. The method includes acquiring secondary equipment information and main wiring diagram information of the technical upgrade substation; performing correlation analysis on the secondary equipment information and main wiring diagram information of the technical upgrade substation based on preset substation information to determine the equipment correlation information corresponding to the technical upgrade of the substation; the preset substation circuit model includes preset secondary equipment information within the substation, preset main wiring diagram information, and preset correlation circuit information between each equipment bay; and generating a secondary safety measures sheet for the technical upgrade substation based on the equipment correlation information, thereby improving the accuracy of the secondary safety measures sheet generation.

The invention relates to the technical field of games, and provides a game interaction method and device, a computer readable storage medium and electronic equipment. The method comprises the following steps: in response to a first selection operation on one or more second game roles in a second game role lineup of a second game account in a current game, determining a target second game role according to the selected one or more second game roles; displaying a function control related to the target second game role in a graphical user interface of the terminal equipment according to the use permission of the first game account to the target second game role; and in response to a first trigger operation on the function control, determining a preceding game role lineup of the first game account in a game after the current game according to the target second game role. According to the scheme, the generation efficiency of the role lineup of the game can be improved.

The invention relates to the technical field of earthquake monitoring, and discloses a construction method and device for a high-dynamic-range earthquake data acquisition circuit, and the method comprises the steps: analyzing a signal inferior factor in high-dynamic-range earthquake data, and calculating a factor energy value corresponding to the signal inferior factor; performing variable gain processing on the high-dynamic-range seismic data to obtain target seismic data, analyzing geologic feature parameters corresponding to a data acquisition area, extracting seismic time history data and seismic multi-component data from the target seismic data, querying a data sampling mechanism and data acquisition equipment corresponding to the target seismic data, and acquiring the seismic data according to the data sampling mechanism and the data acquisition equipment. Determining the number of data channels corresponding to the target seismic data, and calculating the data storage capacity corresponding to the target seismic data; and analyzing the circuit response efficiency corresponding to the data acquisition equipment, and constructing a data acquisition circuit corresponding to the data acquisition equipment. The invention mainly aims to solve the problem of low construction accuracy of a high-dynamic-range seismic data acquisition circuit.