3489 results about "Layout" patented technology

The invention discloses a multi-modal bill processing method based on dynamic knowledge enhancement. The multi-modal bill processing method comprises the following steps: S1, constructing a dynamic knowledge base containing an aging weight; s2, synchronously processing text, image and format features of the bill by adopting a multi-modal feature fusion network to generate a composite feature vector; s3, semantic-level, format-level and timeliness three-level fusion retrieval is carried out based on the composite feature vector, and a three-level fusion retrieval engine comprises dynamic weighted sorting with timeliness attenuation, a difference degree triggered artificial review mechanism and a policy sensitive slope adjustment algorithm; s4, setting a multi-expert cooperative verification system, wherein the multi-expert cooperative verification system comprises cooperative work of a rule engine, a large language model and a logical reasoning module; s5, implementing a dynamic knowledge updating mechanism, and automatically triggering incremental learning of the knowledge base when policy change or format update is detected; and S6, outputting structured data, and synchronously generating an auditing traceability chain containing a decision path. According to the method, the key field identification accuracy can be improved, and auditing traceability and non-perceptual increment updating in the whole process are realized.

The invention provides a low-code dynamic configuration method based on a natural language, and relates to the technical field of natural language processing, and the method comprises the steps: carrying out semantic analysis on a natural language description input by a user through an intelligent agent, extracting a page type, a field attribute, a verification rule and interaction logic, and generating structured configuration data; dynamically generating JSON metadata for describing page layout, field components, verification rules and interaction logic according to a preset template on the basis of the structured configuration data; according to page function requirements, interface metadata matched with the JSON metadata is generated, and the interface metadata comprises a request address, a parameter list and corresponding SQL (Structured Query Language) operation logic; and analyzing the JSON metadata by utilizing a low-code configuration rendering engine, dynamically generating an interactive management function page, and modifying the JSON metadata in real time and re-rendering the page through natural language interaction between a user and an intelligent agent.

Systems and methods disclosed herein generate validated responses using artificial intelligence (AI)-based models. The system obtains / receives an output generation request (e.g., from a graphical user interface (GUI)) that can include a document set and a query set. The system classifies the query set by partitioning it into multiple query subsets and assigning a complexity score. Based on the classification, the system generates a computational workflow set using a first AI model set to retrieve a resource set responsive to the query set. The system executes the workflow using a second AI model set (the same as or different from the first AI model set) and validates the retrieved resources against predefined criteria (e.g., rules, guidelines). If the resources satisfy the criteria, the system generates a response using a third AI model set. The system can display a graphical layout on the GUI showing the request, retrieved resources, and / or generated response.

The invention relates to the technical field of modular assembly production lines, in particular to a modular flexible digital twin layout optimization method and system. Comprising the following steps: constructing multi-dimensional constraint modeling, constructing a multi-objective optimization model containing route length, equipment cost and human resource quantity, and generating an initial layout scheme based on three-dimensional geometric attributes and logistics paths of production line equipment; dynamic weight distribution is carried out, according to priority parameters input by a user, a route optimization weight # imgabs0 #, a cost optimization weight # imgabs1 # and a human resource weight # imgabs2 # are adjusted in real time, and a dynamic weight combination matrix is generated; digital twinborn simulation is carried out, the initial layout scheme is mapped to a digital twinborn platform, and the actual equipment utilization rate, the material carrying efficiency and the worker operation path are calculated through logistics path simulation; according to the scheme, dynamic balance multiple targets can be provided based on a simulation result, simulation and optimization real-time linkage can be realized, and a layout optimization technology of a multi-dimensional verifiable scheme is provided.

The invention relates to the technical field of connector layout optimization, and discloses a high-density four-row connector layout intelligent optimization method. The method comprises the steps that design parameters of four rows of connectors on the high-density circuit board are collected, the design parameters comprise connector position coordinates, the number of pins and electrical impedance values, and related environment data comprise temperature distribution, electromagnetic interference intensity and vibration frequency; performing standardized alignment processing on the design parameters and the environment data to form a layout data set with unified dimensions; the layout optimization model is used for processing the layout data set, an initial layout scheme is generated, and the initial layout scheme comprises connector arrangement sequence and position adjustment suggestions; monitoring change data of the working state of the circuit board in real time, wherein the change data comprise current fluctuation and heat distribution updating; and identifying a layout abnormal condition based on the change data, performing iterative correction on the initial layout scheme according to the layout abnormal condition, and outputting a final optimized layout scheme. The method can dynamically adapt to the working state of the equipment and improve the layout rationality.

The invention provides an electromagnetic compatibility test method and system for PCB design, a PCB comprises a schematic circuit diagram and a structural model, and the method comprises the following steps: extracting high-frequency signal characteristics in the schematic circuit diagram to obtain an electromagnetic simulation parameter set; performing multi-physical field coupling modeling according to the electromagnetic simulation parameter set and the structure model to obtain an electromagnetic field-circuit model; performing frequency-time domain hybrid excitation loading on the electromagnetic field-circuit model to obtain an electromagnetic noise distribution diagram; performing gradient descent optimization on layout parameters of the structure model according to the electromagnetic noise distribution diagram to obtain an anti-interference layout scheme; and performing multi-working-condition Monte Carlo simulation and residual error calibration on the anti-interference layout scheme to generate a correction guidance library.

The invention relates to an automatic assembly system and method for multi-scale digital twin components, and the system comprises a semantic relationship construction module which is used for carrying out explicit definition on the structural features, functional attributes, spatial layout requirements and logic dependency relationships of the multi-scale components, and constructing semantic relationships among the three types of components; the semantic reasoning and constraint engine module is used for carrying out logical reasoning through the semantic relationship constructed by the semantic relationship construction module and judging whether the component combination meets the assembly constraint or not; the assembly generation and configuration module is used for generating an assembly topological structure and a connection sequence of a system shelf according to the component candidate set output by the semantic reasoning and constraint engine module; and the man-machine interaction and visualization module is used for supporting a feedback closed loop between the engineer and the system and providing a visual display interface. The problems that an assembly method depends on artificial experience and is difficult to support high-frequency and multi-scene production line reconstruction are solved, and the method has higher semantic interpretation capacity, automatic combination capacity and context adaptive capacity.

The invention discloses an intelligent file service system generation method based on a low-code development mode. The method comprises the following steps: constructing a file service core data model, defining file metadata fields, a storage structure and an association relationship, and forming a standardized data architecture. According to the method, the core data model, the visual page component library and the drag-and-drop workflow template are constructed, linkage binding of data-component-process is achieved in combination with a low-code engine, and the efficiency bottleneck of a traditional development mode is broken through; through a three-way real-time synchronization mechanism, real-time hot repair and dynamic branch judgment, page layout and flow rule adjustment can take effect immediately through visual configuration, and the problem of dynamic demand response lag is solved; through the intelligent resource scheduling logic compiled through environment adaptation, a differentiation scheme is generated for different deployment environments, the configuration difference influence under a private cloud and server mixed deployment scene is remarkably reduced, the deployment failure rate is greatly reduced, and the system online stability is improved.

The invention discloses an AI-based digital media interface design optimization method, and relates to the technical field of interface design, and the method comprises the following steps: collecting multi-modal interaction input data of a user in real time, and constructing a user behavior sequence tensor with multiple time steps and multi-modal interaction dimensions; carrying out joint modeling on the user focus state vector, the user behavior sequence tensor and the user real-time feedback vector; generating a recommended new layout scheme based on an output result of the interactive intention weight model; when the probability is higher than a preset threshold value, triggering an interface pushing mechanism; after the interface is rearranged, data are fed back according to subsequent interaction behaviors and feedback data of the user; the technical problem that the layout or position of the interface element cannot be dynamically adjusted according to the behavior of the user in the traditional interface design is solved.

The invention discloses a self-adaptive dynamic interface generation method and system based on a computing power host operation and maintenance platform, and relates to the technical field of operation and maintenance interface dynamic optimization. Aiming at the problem of static stiffness of an operation and maintenance interface in a complex scene, the scheme is adopted as follows: collecting user behaviors, a context environment and equipment data, and fusing into a multi-dimensional state vector; inputting the multi-dimensional state vector into a deep reinforcement learning model, and generating a dynamic interface strategy including layout component dynamic arrangement and function button priority ranking; designing a hierarchical multi-target reward function fusing operation efficiency reward, accuracy reward and cognitive load penalty, and performing strategy optimization; analyzing the optimized dynamic interface strategy through the cross-terminal rendering capability of the WebXR engine, and generating a front-end page adaptive to the current terminal; and continuously feeding back the collected data to the deep reinforcement learning model, and updating the network weight through a strategy gradient algorithm to realize user preference migration. According to the method and the device, cross-terminal self-adaptive dynamic interface generation can be realized.

The invention provides an engineering drawing intelligent processing system based on a ComfyUI, and the system comprises an algorithm service module which integrates a plurality of drawing processing algorithm assemblies, such as drawing layout analysis, OCR recognition, drawing direction detection, semantic understanding, drawing frame disassembly, and axis net recognition, and provides services for the outside through a standardized interface; the workflow arrangement module is used for packaging the algorithm components into parameterized drawing processing nodes based on a visual node configuration framework of a ComfyUI, and supporting flexible combination, real-time preview and batch execution of drawing processing flows; and the workflow management module is used for importing, analyzing and publishing the workflow configuration file in the ComfyUI format, and realizing metadata management, publishing verification, API document generation, interface registration and call authority control of the workflow. The method supports multi-type input of PDF and CAD drawings, is suitable for engineering drawing processing tasks such as drawing label extraction, sub-drawing recognition, drawing frame segmentation and drawing filing, and is high in intelligent degree, flexible in process configuration, easy to integrate and high in expansibility.

The invention provides a power grid wiring diagram automatic analysis system and method based on deep learning. The method comprises the steps of S1, data preprocessing and model training; s2, carrying out equipment identification and association; step S3, topology reasoning and verification are carried out; s4, standardized output: converting the verified power grid network model into a regulation and control cloud platform standard graphic file, and optimizing graphic arrangement through an adaptive layout algorithm; step S5, performing closed-loop optimization; and S6, performing manual intervention and iteration. According to the method, the wiring diagram analysis efficiency and accuracy can be remarkably improved, manual intervention is reduced, standardized graph generation of a power grid regulation and control cloud platform is supported, and a reliable data basis is provided for power system analysis and decision making.

The invention belongs to the technical field of display design evaluation, and particularly relates to an exhibition display layout design effect analysis and evaluation method, which comprises the following steps of: constructing a dynamic spatial topology network by collecting audience moving tracks, exhibit information and spatial structure data in real time; the problem of insufficient attention on space utilization influenced by dynamic factors such as human traffic fluctuation is solved. And dynamic changes in the space are converted into quantifiable network nodes and connection relationships, so that the space utilization state is changed from static design to dynamic monitoring, accurate capture of the real-time use condition of the exhibition space is realized, a comprehensive and real-time data basis is provided for subsequent analysis, and the real-time monitoring of the exhibition space is realized. Meanwhile, the dynamic space topology network is analyzed by means of spatial-temporal feature fusion to determine the edge weight and the exhibition area correlation degree, the spatial efficiency index and the dynamic line rationality index are generated in combination with an analytic hierarchy process and multi-dimensional analysis, and the defect that a space utilization rate core evaluation index is not established in the prior art is overcome.

The invention relates to the technical field of cross-language information processing, and provides a cross-language text fusion intelligent alignment method and system.The cross-language text fusion intelligent alignment method comprises the steps that a hierarchical alignment model is constructed through preprocessing and label recognition of multi-coding-type texts, deep semantic feature extraction and labeling of a multi-language pre-training model and text semantic and format information analysis; transform is taken as a core, cross-language semantic association is enhanced through a multi-head attention mechanism, character-level and paragraph-level format collaboration is realized through label weight allocation and condition constraint, the format alignment accuracy is obviously improved in a multi-language mixed typesetting scene, and the multi-language mixed typesetting efficiency is improved. The analysis capability of the model on the structured information can be extended to layout relation processing of texts, images and tables, so that the comprehensive alignment efficiency in a multi-modal fusion scene is remarkably improved. The accuracy of text and label fusion is guaranteed, the problem of confusion of messy codes and labels is avoided, and high-precision cross-language text alignment from semantics to formats, from single mode to multiple modes and from semantics to formats is achieved.

The invention discloses a multi-platform-oriented intelligent interface adaptation and rendering optimization method and system, and belongs to the technical field of interface rendering. The method comprises the following steps: firstly, acquiring and analyzing interface description information, and extracting hierarchical structures and constraint relationships of interface elements to obtain abstract description features; performing adaptive layout mapping based on the environment characteristic parameters of the target platform, and dynamically adjusting space occupation and display priorities under the constraint of keeping the relative position relationship of interface elements unchanged to obtain a layout scheme after platform adaptation; determining resource consumption nodes according to interface element distribution characteristics, and determining a layered rendering strategy by analyzing visibility states and updating frequency characteristics; applying the layout scheme and the rendering strategy to a rendering execution process to generate output; and collecting performance feedback data to adaptively update a space occupation and rendering strategy. According to the method and the device, automatic adaptation and rendering performance optimization of the cross-platform interface are realized, and the multi-platform interface rendering efficiency and the user experience are improved.

The invention discloses a generation method of a generative adversarial network for planning a resource design stylized layout, and belongs to the technical field of artificial intelligence and machine learning, and the method comprises the following steps: S1, multi-source data collection: widely collecting a large number of existing planning resource samples; s2, data classification labeling; s3, constructing a generative adversarial network model; s4, performing model training; s5, style migration training; s6, optimizing the model; s7, generating a planning resource scheme; s8, optimizing the scheme; and S9, performing feedback iteration. According to the method, through integrating a technical path of multi-source design data acquisition, deep style feature extraction and generative adversarial network collaborative optimization, full-process automation from user demand input to high-quality planning resource layout generation is realized, and user personalized demands are met through a multi-scheme candidate and interactive adjustment function; and finally, constructing an incremental learning closed loop based on user feedback data, and continuously updating model parameters to adapt to an emerging design trend and an industry specification.

The invention discloses a digital back-end full-process script design method, and relates to the field of digital integrated circuit design, and the method comprises the steps: receiving an RTL behavior level netlist, a process library file and a constraint file as input, and generating a library configuration file valeeb.tcl; a gate-level netlist and a corresponding comprehensive report are generated by using a library configuration file valerib.tcl; performing logic synthesis according to the behavior level netlist and the make syn to generate a gate level netlist, and generating layout and wiring data through make out; according to the layout and wiring data, antenna inspection is carried out through a make ant command, design rule inspection is carried out through a make drc command, and comparison inspection of a generated layout and a schematic diagram is carried out through a make lvs command; performing power consumption analysis according to the layout and wiring data; and performing IR analysis according to the parasitic parameters. Aiming at the problem that the chip digital back-end design process is low in efficiency in the prior art, the design efficiency is improved.

The invention discloses a VLSI circuit layout optimization method and system based on deep learning in the technical field of integrated circuits, and the method comprises the steps: abstracting a large-scale integrated circuit into a hypergraph structure, receiving the hypergraph structure, generating a node embedding matrix through a hypergraph neural network, and optimizing a segmentation loss function through unsupervised training, obtaining a probability distribution matrix, determining segmented subsets based on the probability distribution matrix, mapping each subset to a physical layout unit, generating a physical region layout of the chip according to an area equilibrium constraint and a time sequence constraint, performing constraint feedback on a physical layout result, and dynamically adjusting parameters of the segmentation loss function. The method can be used for circuit layout of a super-large-scale integrated circuit, and an optimization method and means are provided for providing a high-quality VLSI circuit layout scheme.

The invention provides a layout file geometric data processing method, a computer device and a storage medium. The method comprises the steps that a layout file of a three-dimensional chip is obtained, polygonal entities and layer information are extracted, the polygonal entities are distributed to corresponding layer containers, and an independent R tree index is created for each layer; performing connectivity analysis on the polygonal entity, and returning a connected component set and performance analysis statistical information; when an independent R-tree index is created for each layer, data of all polygonal entities of a single layer is obtained, a minimum boundary rectangle is generated for each polygonal entity, R-tree indexes are constructed for different layers in parallel by adopting a plurality of threads, whether the number of node entries of the R-tree indexes exceeds a splitting threshold value or not is judged, and if yes, splitting processing is carried out on nodes; and verifying the consistency of the created R tree index and the original data. The computer device and the storage medium can realize the method. The geometric data processing efficiency of the layout file can be improved.

The invention relates to the technical field of form design, in particular to a business form design method based on a visual component. The method comprises the following steps: constructing a multi-type component resource pool in a business form design system, and presetting a standardized configuration parameter set for each component; realizing a component dragging interaction mechanism on the visual design interface, and generating initial layout data at the same time; constructing a component configuration context environment based on the initial layout data, and generating intermediate state form definition data; an index data association mechanism is achieved in the intermediate state form definition data, mapping binding is conducted on the intermediate state form definition data and form components, and a form data structure containing data flow direction definition is generated; and constructing a cross-platform rendering adaptation engine based on the form data structure to automatically generate a form rendering code so as to realize a form design real-time preview system, and providing an interactive debugging tool set for verifying the functional integrity of the form. According to the invention, efficient design and flexible deployment of the business form can be realized.

The invention relates to the technical field of video analysis, in particular to a video editing method based on grid layout alternate diffusion and multi-attention control, and the method comprises the steps: segmenting an original video frame sequence into a plurality of grids, each grid comprising a plurality of pixel space video frames which are continuously arranged, and forming grid data; mapping the gridding data to a low-dimensional submerged space through an encoder, and generating initial submerged space feature data; the initial submerged space feature data are edited, the editing process comprises a diffusion process and a sampling process, the diffusion process is based on a pre-trained stable diffusion model, and a time attention module is embedded in the diffusion process; in the sampling process, executing an odd-even time step alternate replacement strategy on the grid layout to promote cross-grid global consistency, and dynamically fusing attention maps of a reconstruction branch and an editing branch according to a timestamp threshold to generate de-noised data; and decoding, splitting and recombining the de-noised data through a decoder to generate an edited continuous video frame sequence.

The invention discloses a multi-scene multiplexing-oriented VUE dynamic component interface configuration and rendering method, which comprises the following steps of: receiving a multi-scene configuration file, and extracting and coding to generate a scene feature vector; component layout parameters, resource priorities and rendering strategies are automatically generated through the two-stage generative adversarial network, and application parameters are output after the generated parameters are optimized; on the basis of application parameters, asynchronous component loading and priority queue scheduling are adopted, and on-demand loading of components is achieved in combination with dependency topology sorting; dynamically dividing a rendering area by using an adaptive Gaussian algorithm, and rejecting invalid rendering through a boundary box mechanism; the DOM operation frequency is reduced by adopting an optimization Diff algorithm; and constructing a component cache pool through an elimination strategy. According to the method, intelligent configuration and efficient rendering of the interface component under multiple scenes are realized, the development efficiency is improved, and the performance is optimized.

The invention relates to the technical field of circuit design, in particular to a digital circuit simulation design method and system. The method comprises the following steps: identifying a design demand document, performing deep semantic analysis and demand constraint mining, and constructing a demand specification constraint parameter set; performing demand complexity evaluation and multi-level division according to the demand specification constraint parameter set, and constructing a basic circuit architecture design blueprint; circuit routing path planning is carried out according to the basic circuit architecture design blueprint, and a standardized circuit topology network is constructed; performing electric signal propagation simulation on the standardized circuit topology network, and performing global circuit adaptability adjustment to obtain a circuit topology design scheme; and carrying out an extreme condition simulation test based on the circuit topology design scheme, and carrying out comprehensive performance evaluation to obtain a circuit performance evaluation report. By deeply understanding the user demand intention, the circuit layout matched with the user demand is designed, and the overall circuit performance is improved.

The invention provides an artificial intelligence-based interface circuit design method, which comprises the following steps of: S1, acquiring an RTL code for describing a logic structure of a digital circuit, and generating a digital circuit layout according to the RTL code by utilizing a preset neural network model; s2, acquiring a preset process library and design parameters of the analog circuit, and generating an analog circuit layout by using a preset neural network model according to the process library and the design parameters of the analog circuit; and S3, fusing the digital circuit layout and the analog circuit layout by using a preset neural network model to obtain the layout of the interface circuit.

The invention relates to an application method of a GPU (Graphics Processing Unit) in design rule inspection in the field of integrated circuits, in particular to a layout design rule inspection method, system and equipment, a medium and a product. The layout design rule checking method comprises the following steps: inputting initial layout data, analyzing a design rule checking task to be executed, and marking the priority and complexity level of the task; the method comprises the following steps: dividing layout data into a plurality of data blocks according to regions on the basis of regional characteristics of the layout data, distributing tasks and corresponding data blocks to a GPU computing core according to task priorities and complexity levels, and distributing new data blocks according to the overall load condition of the GPU computing core after the GPU computing core completes data block processing, and repeating the steps until all tasks are executed, and outputting a layout design rule check result. The system, the computer equipment, the computer readable storage medium and the computer program product have the same beneficial effects as the layout design rule checking method.

The invention discloses a layout method of a printed circuit board, a product, equipment and a readable storage medium, and relates to the technical field of PCB design, and the method comprises the steps: carrying out the optimization decoupling and optimization separation of a position layout and a rotation angle into independent stages of sequential execution, avoiding the mutual interference of two types of decisions, greatly reducing the search space, and improving the convergence efficiency. After newly-added elements are placed every time, all the placed elements on the current board are subjected to rotation optimization, the accumulated influence of default direction deviation of early-stage elements on subsequent layout is eliminated, the optimal solution is gradually approached through multi-round iteration, the total length of a finally-arranged wire net is reduced, the signal transmission performance of the PCB is remarkably improved, and the reliability of the PCB is improved. Therefore, the problem of irreversible influence of early decision on subsequent layout is solved, and the beneficial effects of improving layout quality and optimizing PCB circuit performance are achieved.

The invention discloses a production line layout scheme evaluation system based on a dynamic simulation technology, and the system comprises the steps: converting equipment coordinates, detecting equipment spacing and AGV channel interference, and generating a geometric data set containing position constraint; performing median filtering on the equipment state data to generate a state data set; drag-and-drop layout is carried out through the template, safety spacing and channel width are verified, and an initial layout parameter combination is generated; generating an orthogonal table through a Taguchi orthogonal experiment method, and constructing an optimization space less than or equal to 8 dimensions; performing parameter search by adopting a particle swarm optimization algorithm, and outputting optimized layout parameters; deploying a discrete event simulation engine, and generating a layout evaluation report; and generating a verification data set and performing t verification, and triggering parameter correction and updating the scheme label according to a verification result. The design can effectively improve the feasibility, efficiency and landing reliability of the layout scheme, and significantly reduce the trial and error cost and operation risk of enterprise production line planning.

The invention provides a rule-based layout check and automatic correction system, which relates to the technical field of integrated circuits, and comprises a rule input and management module, a layout data processing module, a rule check engine, a problem analysis and visualization module, an automatic correction module and a user interaction and control interface. Through a rule template library and a complex rule analysis mechanism, an efficient rule configuration mode is provided for a user, and the user can quickly adjust parameters based on a preset template to generate a user-defined design rule, or directly upload complex rule description containing a regular expression and a mathematical formula; and the system analyzes the data into executable logic units and stores the executable logic units in a rule database. According to the mode, the complexity and the time cost of design rule configuration are remarkably reduced, so that the system can flexibly adapt to different process nodes and design requirements, the universality and the efficiency of layout inspection are improved, and convenient and diversified rule management experience is provided for designers.

The invention provides a page layout rearrangement / redrawing optimization method and system and computer equipment, and the method comprises the steps: carrying out real-time rearrangement / redrawing task triggering monitoring for a browser, and generating a rearrangement / redrawing task queue; performing dynamic priority grading on the rearrangement / redrawing tasks; monitoring the load proportion of the high-priority task in real time; meanwhile, determining a current frame interval and / or single-frame processing time; adjusting the task collection interval according to the current frame interval and / or the single frame processing time based on a dynamic interval adjustment rule; and according to the adjusted task collection interval, collecting the rearrangement / redrawing tasks according to task priorities, and performing unified layout calculation to generate an optimized rendering layout tree so as to execute page rendering according to the rendering layout tree. According to the method and the device, the task processing strategy is flexibly adjusted according to the real-time load condition, so that the page can still stably and smoothly run under the high load, the jamming phenomenon is avoided, and a more reliable browsing environment is provided for a user.

The invention discloses a large model and RAG-based file generation method and device, and the method comprises the steps: carrying out the deep learning and semantic analysis of an uploaded bidding document file through a large model LLM, extracting core project information, and judging the business field and industry category; combining the information, and screening a matching template by referring to an industry knowledge graph and a set bidding document template database to generate a bidding document directory outline; then, according to the outline, the LLM extracts data from a set material library for filling, and a first draft of the bidding book is generated; then, the NLP technology is used for auditing the first draft, the problem of the consistency between the waste bidding factors and the terms is checked, correction suggestions are given, and the correction suggestions are corrected by editors to obtain a corrected bidding book; and finally, adjusting the format of the revised version, optimizing typesetting, performing manual review, and outputting a final bidding book manuscript. The bidding document compiling efficiency and quality can be improved, compliance is guaranteed, the enterprise application threshold is reduced, and enterprises are assisted to obtain advantages in bidding.