395 results about "Digital transformation" patented technology

The invention belongs to the technical field of artificial intelligence, and discloses a government information consultation system based on a large language model, which comprises a user interaction module, a large language model core engine, a knowledge base integration module, a multi-level authority management module, a feedback optimization mechanism and a risk control module. The comprehensive intelligent government affair service system is constructed through the six core modules, remarkable advantages are shown in government affair service digital transformation, the system innovatively adopts multi-mode interactive design, multiple input and output modes of voice, text and images are supported, an intelligent authority management mechanism is matched, and the intelligent authority management mechanism is matched with the intelligent authority management mechanism. According to the technical scheme, the accessibility and convenience of government affair services are greatly improved, precise services for different user groups are achieved, it is guaranteed that sensitive data are safe and controllable while wide spreading of government affair information is guaranteed, and a large language model of a system core is subjected to professional government affair scene optimization training and is combined with a dynamically-updated knowledge graph technology.

The invention relates to the technical field of fault monitoring, in particular to a power transmission line fault monitoring and positioning method, system and device and a medium. The method comprises the following steps: firstly, performing digital conversion on an original current signal to obtain time sequence data, and then identifying and classifying fault events through threshold detection and a feature extraction algorithm to obtain classification labels of fault types; then, based on the classification label, establishing a traveling wave propagation model and carrying out time difference calculation, carrying out clustering analysis on a plurality of wave head data in a preset time window, and judging whether the fault is a single-point fault or a multi-point fault through a clustering result; and finally, a positioning result is transmitted to the central server for comprehensive verification and alarm management, and a final fault response is formed. By introducing a time series data analysis and clustering judgment mechanism, the fault type can be accurately identified, single-point and multi-point fault conditions can be effectively distinguished, and meanwhile, the reliability of a positioning result is improved through comprehensive verification of the central server.

The invention relates to the technical field of building engineering cost intelligent estimation, and discloses a building engineering cost intelligent estimation and checking method fusing a domain knowledge graph and a large language model, and the method comprises the following steps: S1, building a building engineering domain knowledge graph (KG), integrating a quota library, a material price library and historical project data, and carrying out the calculation of a building engineering domain knowledge graph (KG); and defining an entity relationship and a dynamic updating rule. According to the intelligent building engineering cost estimation and checking method fusing the domain knowledge graph and the large language model, a closed loop of knowledge structuring (KG) + semantic comprehension (LLM) + multi-modal reasoning is realized for the first time, engineering cost management is promoted to be transformed from experience driving to data-knowledge dual driving, a reusable technical normal form is provided for the field of intelligent construction, and the engineering cost is estimated and checked. The method solves the problems of efficiency, precision, dynamics and interpretability of traditional cost management, has technical innovation and practical value, and provides core technical support for digital transformation of constructional engineering.

The invention discloses an ideological and political large-scale course teaching attention assessment data acquisition method based on sight tracking. The method comprises the following steps: S1, high-definition large-scene eye movement tracking photographing equipment captures eye images of students in a course teaching process in real time through an infrared camera; s2, performing pupil area detection and pupil center fitting on the eye image to obtain sight tracking data; s3, performing gaze hotspot analysis and gaze duration statistics according to the sight tracking data to quantify attention distribution and change trend of the students and visually display the attention distribution and change trend; and S4, generating a teaching quality evaluation report and teaching optimization suggestions according to the gazing hotspot analysis and gazing duration statistical results. The classroom teaching effect can be objectively evaluated in real time, subjective evaluation errors are reduced, the accuracy and efficiency of teaching feedback are improved, the method is suitable for various scenes such as traditional classrooms, online education and experiment teaching, and the method has the industrial application prospect of education digital transformation.

The invention provides an enterprise intelligent finance and taxation system fusing supervised learning and a block chain, and solves the core technical problems of insufficient data credibility, transparent contradiction between privacy protection and supervision, AI model training data island and the like of a traditional finance and taxation system. According to the system, an innovative technical fusion scheme is adopted, bank API, OCR recognition, voice input and other multi-source financial data are integrated through a multi-modal data fusion unit, and high-quality data fusion is achieved through confidence evaluation and an intelligent conflict resolution algorithm; an intelligent classification unit based on BERT deep learning integrates a pre-training model with a business rule engine and a gradient boosting decision tree, and accurate and automatic classification of financial transactions is achieved. A complete technical solution is provided for enterprise finance and taxation digital transformation, intelligent, automatic and credible processing of finance and taxation businesses is achieved on the premise that data safety and privacy protection are guaranteed, and the method has wide market application prospects.

The invention discloses an intelligent analysis method and system for enterprise digital transformation, and relates to the technical field of enterprise digital transformation, and the method comprises the following specific steps: perception and preprocessing: employing a network data capture technology to obtain scene factor related text information from multiple channels, according to the method, key information such as policy and regulation update and market dynamic change is captured in real time by utilizing a plurality of information acquisition channels, and a knowledge graph system containing rich enterprise knowledge is constructed; according to the technical scheme of the invention, new scene factors can be deeply associated and accurately matched with knowledge such as business processes and technical architectures inside an enterprise, so that the system can provide more scientific and accurate digital transformation decision suggestions for the enterprise, the enterprise is helped to better cope with external environment changes, the internal management process is optimized, and the business operation efficiency is improved.

The invention discloses a power distribution network switching station on-line comprehensive monitoring method based on the Internet of Things, and aims to solve the problems that a traditional switching station is poor in monitoring real-time performance, insufficient in fault early warning capability and the like. The method is realized based on an intelligent monitoring and coping system of an Internet of Things architecture, and through cooperation of multiple modules of equipment operation state monitoring, environment monitoring, security monitoring, intelligent linkage control, alarm management, historical data analysis and the like, an alarm linkage intelligent control closed-loop cooperation algorithm and a time sequence analysis algorithm are combined. And comprehensive perception and intelligent analysis of the operation state, environmental parameters and the like of the switching station equipment are realized. The system can monitor key parameters such as cable head temperature and partial discharge in real time, supports intelligent linkage processing of abnormal scenes such as harmful gas exceeding and water immersion, and predicts the equipment trend through historical data mining. The technology improves the equipment operation safety and operation and maintenance efficiency, reduces the line loss, enhances the power supply reliability, lays a foundation for constructing a novel power system, and promotes the digital transformation of a power distribution network.

The invention discloses a data processing system and method based on a federated architecture interface and related equipment, and relates to the technical field of computer software, in particular to a federated architecture distributed system formed based on a central coordination node and a plurality of regional autonomous nodes. The central coordination node is used for performing global strategy making, metadata block chain evidence storage, conflict detection and federated monitoring and self-healing to realize global management and control, and the regional autonomous node adapts to a physical machine heterogeneous environment to perform local strategy execution, heterogeneous protocol conversion and resource autonomous regulation and control so as to realize flexible regulation of a regional strategy. According to the scheme, through a federated and intelligent treatment system, inherent contradictions between centralized management and control and department autonomy, standardization and rapid iteration and global safety and local flexibility are solved, technical support is provided for an enterprise to construct a standardized, high-reliability and easy-to-expand API ecological system, digital transformation is assisted, and the enterprise safety is improved. And global controllability and local autonomy of enterprise-level API ecology are realized.

The invention relates to the technical field of engineering construction informatization, in particular to a process-level multi-dimensional coding construction file detection system and method, and the system comprises a four-dimensional dynamic coding engine, an intelligent file verification module, a block chain evidence storage and restoration module and a dynamic tracing platform. The four-dimensional dynamic coding engine generates a unique code and verifies process logic; the intelligent file verification module identifies missing files based on an engineering file template library and a weighting algorithm; the block chain evidence storage and repair module carries out cochain evidence storage on missing records and sets a time-limited completion mechanism; the dynamic tracing platform realizes bidirectional mapping and visual monitoring of the construction file and the BIM model; according to the method, through cooperation of all the modules, code generation verification, file integrity detection, missing evidence storage repair and construction whole process tracing are completed. The method solves the problems that traditional construction file management is low in efficiency, difficult in process supervision, difficult in data tracing and collaboration and the like, promotes digital transformation of project management, and improves project quality and management efficiency.

The invention discloses a traffic data security encryption and circulation system and method based on a block chain, belongs to the technical field of traffic control, and aims to solve the problems of security, privacy and trust in traffic data sharing. The system comprises an edge computing node which is deployed near a data source and is used for performing encryption or privacy enhancement processing on original traffic data; a block chain network with a smart contract is deployed, node identities are managed, verification information is recorded, an access strategy is stored, and data circulation is controlled; and the data processing unit is used for aggregating the processed data to generate a circulatory data product. The method comprises the steps of edge security processing, block chain management verification, product generation by the data processing unit and management and control circulation of the block chain according to a strategy. Through edge security processing and a block chain trust mechanism, data security privacy is guaranteed, safe, transparent and credible circulation and utilization of traffic data are realized, and reliable data support is provided for intelligent upgrading and digital transformation of the traffic industry.

The invention discloses an automatic page generation method of a software construction platform based on a large language model, which comprises the following steps of: extracting a scene, a page and constraint description from a natural language demand, and generating JSON (JavaScript Object Notation) content containing a data model, a query condition, a table column and static data through the large language model; according to component type constraints and verification rules, the JSON is mapped to components and combinations of buttons, labels, texts, pictures, pull-down selection, multi-choice, single choice, tables, dates and the like of the code-free construction platform; and automatically filling a component set based on the upper and lower partition templates, and injecting static data and verification logic. Through industry knowledge adaptation, component semantic binding and dynamic constraint, it is ensured that the page conforms to field specifications and interaction logic, the learning cost is reduced, manual intervention is reduced, and the method is suitable for the fields of smart cities, natural resources, urban and rural residence construction, emergency management, enterprise digital transformation and the like.

The invention discloses an electromagnetic transient simulation and mapping method and system oriented to multi-physics field coupling, and belongs to the technical field of substation digital operation and maintenance and electromagnetic simulation. Deploying multiple types of sensors in a transformer substation, preprocessing the acquired multi-physical field data, and fusing with the three-dimensional twinborn model; a coupling algorithm is adopted to carry out multi-physical field coupling analysis, multi-physical quantity display and thermodynamic diagram superposition are realized, and scene evolution change simulation under various typical working conditions is supported; a micro-service architecture is adopted to construct a digital twin system, double closed-loop verification of simulation and actual measurement is performed through actual measurement data and simulation data of a real-model test field, model optimization is completed, and real-time mapping of electromagnetic transient dynamic simulation and a transformer substation physical entity is realized. The method improves the precision of model and entity mapping, meets the requirements of real-time tracking and response of the electromagnetic transient change of the transformer substation, adapts to the digital transformation of different transformer substations, and provides a basis for the operation and maintenance of the transformer substations.

The invention provides a small and medium-sized enterprise digital transformation intelligent question answering method and device, equipment and a storage medium, and the method comprises the steps: carrying out the semantic recognition and entity extraction of a question input by a user, and generating a question semantic vector; retrieving a corresponding target text fragment in a preset vector database according to the question semantic vector; searching a sub-graph structure associated with the question semantic vector in a preset knowledge graph according to the target entity of the question semantic vector; reordering the text segments and the sub-graph structures based on correlation scores to obtain an ordering result set; and inputting the sorting result set into a retrieval enhancement generation model, and generating question and answer output content. Through the implementation of the scheme of the application, association matching of question semantics and enterprise knowledge can be realized by utilizing the text semantic information and the knowledge graph structure information at the same time in the question and answer generation process, the consistency of question and answer contents in logic structure and semantics is ensured, and the accuracy of digital transformation question and answer of small and medium-sized enterprises is improved.

The invention provides a planning analysis workflow intelligent arrangement method and device based on a natural language instruction, and the method and device can deeply understand the complex analysis intention of a plan in a natural language through a mixed analysis engine comprising a large-scale language model and a named entity recognition model. And according to the understood intention, a proper operator and a proper model are autonomously selected from a tool library in combination with a planning analysis knowledge graph, so that a complete, logic self-consistent and executable multi-step analysis workflow can be autonomously and dynamically arranged, the workflow is automatically executed, and multi-modal data is collected. According to the method and the device, the technical problems in multiple aspects from keyword matching to composite intention deep understanding, from artificial process design to knowledge-driven intelligent arrangement and from one-way instruction execution to interactive exploration analysis in the prior art are solved, and the method and the device have the advantages that the technical problems in multiple aspects from keyword matching to composite intention deep understanding, from artificial process design to knowledge-driven intelligent arrangement and from one-way instruction execution to interactive exploration analysis are solved; the planning work efficiency can be improved, the technical threshold is reduced, and industry digital transformation is promoted.

The invention discloses an intelligent agent platform and information system integration compatible method and equipment, belongs to the technical field of digital transformation, and aims to overcome the defects of high cost, long development period, difficulty in maintenance and the like of an existing intelligent agent platform and information system integration scheme. And dynamic upgrading of an enterprise system and access of a new system are difficult to adapt. The method comprises the following steps: constructing dynamic protocol conversion middleware supporting multiple protocols, and converting heterogeneous protocol data through the dynamic protocol conversion middleware to obtain standardized data; performing format conversion on the standardized data through a hierarchical data converter to obtain readable data; respectively transmitting the high-frequency calling data and the low-frequency calling data to an intelligent agent platform through a hybrid communication bus; wherein enterprise sensitive data in the readable data is transmitted to the intelligent agent platform in a token form after being subjected to desensitization operation and / or encryption operation.

The invention provides a BIM-based 3D building digital monitoring method and system, and belongs to the technical field of building engineering monitoring, and the method comprises the steps: carrying out the digital conversion and processing of a building design drawing of a target building, extracting the geometric and attribute information of the target building, and generating a standard BIM model; verifying and calibrating the basic multi-dimensional data and the standard BIM model when the target building is completed, and generating a reference BIM model; performing spatial registration and association mapping on the acquired multi-dimensional monitoring data and the reference BIM model to generate an association data set; comparing based on the associated data set to generate a comparison result; obtaining a potential risk type and a risk evolution trend of the target building through a risk prediction model based on a comparison result, historical monitoring data and a component static attribute in the reference BIM model; and generating a target monitoring strategy based on the potential risk type and the risk evolution trend. The building operation and maintenance efficiency is improved, and the service life of the building is prolonged.

The invention provides a BIM (Building Information Modeling) full life cycle splitting and cross-model synchronization method and system. The method comprises the steps that BIM model components are coded based on a full life cycle coding rule, private attributes of all engineering stages and component codes of the engineering stages are bound and stored in component extension attributes, and a BIM master model containing multi-stage attribute information is generated; setting a BIM model splitting rule based on a rule engine; the code of each component in the BIM model is analyzed, the codes are compared with screening conditions in the splitting rules according to levels, and component data corresponding to the successfully matched codes are packaged and stored as sub-models; establishing association mapping between the models; and when the source model is modified, the synchronization engine executes synchronous updating of the target model according to the association mapping between the source model and the target model associated with the source model, so that the cross-stage multi-participant cooperation efficiency is improved, and a solid technical support is provided for digital transformation of the construction industry.

The invention discloses a macro-micro hybrid simulation method for electrical equipment insulation defect analysis, which comprises the following steps: S1, establishing a gas defect discharge process simulation model, and describing microscopic particle state change and electric field distribution in a gas discharge process through a particle transport equation and a Poisson equation; the method comprises the steps of S1, establishing an electromagnetic propagation process simulation model, and describing the propagation process of an electromagnetic signal generated by gas discharge through a Maxwell equation set, and S3, performing joint simulation on the model, taking equivalent current of gas discharge as an excitation source, simulating propagation of the electromagnetic signal in power equipment through a finite time domain difference method FDTD, and recording a signal value of a receiver. According to the macro-micro hybrid simulation method for analyzing the insulation defects of the power equipment, the insulation defects of the power equipment are accurately analyzed and monitored, important support is provided for state monitoring and maintenance of the power equipment, and digital transformation of the monitoring technology of the power equipment is promoted.

The invention relates to an unmanned aerial vehicle automatic intelligent inspection method and system, and relates to the technical field of unmanned aerial vehicle inspection. A real-time environment sensing technology is adopted, environment data such as wind speed and temperature are dynamically collected, and accurate power consumption calculation is performed through a dynamic electric quantity model optimized by machine learning; and an intelligent decision algorithm is integrated to realize self-adaptive task planning, multi-unit network coordination, dynamic return point selection and automatic landing, so that a'perception-decision-execution 'closed-loop intelligent system is constructed. According to the scheme, the operation reliability and safety of the unmanned aerial vehicle in a complex environment are remarkably improved, manual intervention is greatly reduced, full-automatic efficient operation and maintenance are achieved, the inspection efficiency is comprehensively improved, the intelligent inspection requirements of multiple fields such as electric power, forestry and emergency are met, and digital transformation of infrastructure management is enabled.

The invention relates to the technical field of digitization, in particular to a digitization transformation project operation system and method.The digitization transformation project operation system comprises a data intelligent core layer, an elastic infrastructure layer, a man-machine cooperation layer, a safety compliance layer and a value operation layer, and the data intelligent core layer is used for achieving cross-business-domain data management and AI model full-life-cycle management; the data credibility and the model practicability are ensured; according to the method, the defects of cross-service domain data rights and responsibilities disorder and insufficient sensitive information protection due to adoption of a centralized architecture in traditional data governance, and resource waste caused by AI model development and operation and maintenance splitting are overcome; according to the scheme, the service domain sovereignty is divided through the distributed data governance framework, the field-level authority control is realized in combination with the dynamic desensitization technology, and the AI model full-life-cycle management platform is established, so that efficient collaboration of cross-domain data and automatic recovery of model resources are realized, the data credibility and the model practicability are remarkably improved, and the risk of data abuse is reduced.

The invention discloses an enterprise digital transformation method based on data envelope analysis and a terminal. The method comprises the following steps: constructing a multi-dimensional evaluation index system for enterprise digital transformation, and respectively obtaining related target data according to a technical infrastructure layer index, a data asset layer index, an organization collaboration layer index and a business innovation layer index; calculating the comprehensive weight of each index in the multi-dimensional evaluation index system according to the target data; constructing a data envelope analysis model based on non-radial super-efficiency according to the multi-dimensional evaluation index system, updating the comprehensive weight through the data envelope analysis model, and determining an optimization target of enterprise digital transformation; and constructing a Markov decision model of the enterprise digital transformation according to the optimization target, and generating an optimal strategy of the enterprise digital transformation through the Markov decision model. According to the invention, comprehensive and accurate quantitative evaluation can be carried out on the enterprise digital transformation efficiency, and a targeted improvement strategy can be provided.

The invention discloses a scene-oriented rail transit operation business process standardization design method, and relates to the technical field of urban rail transit standard digital transformation, and the method comprises the steps: carrying out the classification and grading processing of an urban rail transit standard file and an urban rail transit operation standard, and obtaining machine readable standard data; based on the service architecture, performing service splitting processing on the machine readable standard data to obtain professional data containing a multi-level interface; according to the professional data, constructing a scene-based operation knowledge graph; carrying out secondary disassembly and recombination processing on the scene-based operation knowledge graph to obtain minimum scene unit data; and performing systematization processing on the minimum scene unit data to obtain a standardized operation business process. According to the invention, the operation management business process is standardized, so that the operation efficiency and the operation safety are improved.

The invention provides a small and medium-sized enterprise digital transformation evaluation method, which comprises the following steps of: S11, analyzing and identifying regularly acquired small and medium-sized enterprise digital transformation evaluation files to obtain quantifiable multi-dimensional evaluation indexes; s12, constructing an evaluation index matching model based on the multi-dimensional evaluation indexes, and further constructing a smart contract architecture; s13, regularly collecting and analyzing the successful cases of the digital transformation of the small and medium-sized enterprises, performing scoring guidance for the quantifiable indexes corresponding to each successful case, and constructing a grade evaluation model; s14, determining quantifiable indexes corresponding to the small and medium-sized enterprises in transformation, deploying corresponding smart contracts in internal business systems of the small and medium-sized enterprises, and collecting key transformation data; and S15, analyzing the key transformation data through the grade evaluation model, and outputting a visual evaluation report. According to the invention, comprehensive and accurate quantitative evaluation of the digital transformation degree of small and medium-sized enterprises is realized, the objectivity, efficiency and credibility of evaluation are improved, and a user is helped to know the current situation of enterprise transformation.

The invention relates to the technical field of project cost, in particular to a water conservancy and hydropower project cost achievement quality inspection method and device based on VSTO. Preprocessing the cost achievement document in the Excel format to form a file in which a bill of quantity, a project unit price and a basic price are associated with each other; performing quality inspection on the file formed after preprocessing, wherein the quality inspection comprises form inspection, rule inspection, unit price inspection and index inspection which are sequentially performed; and integrating quality inspection results by using a large language model and an intelligent agent technology to generate an inspection report in a unified format. Excel serves as a uniform interface to be compatible with multi-source data, a large language model is introduced to achieve intelligent generation of a check report, the defect of compatibility of file formats and check logic in the prior art can be overcome, and key technical support can be provided for digital transformation of water conservancy and hydropower project cost management.

The embodiment of the invention provides an enterprise information architecture (4A)-based AI Agent planning enhancement system, a control device and equipment, and the system comprises a Prompt construction module which is used for analyzing an unstructured demand to obtain a structured demand, and cooperating with other modules to generate a standardized Prompt comprising a business process, a data entity and a tool strategy; the knowledge matching module is used for matching related knowledge based on a knowledge graph employment number fusion knowledge base and sorting the related knowledge into a knowledge list containing business processes, practical experience, a data list and a tool list; and the context reasoning module is used for generating a reasoning result based on the historical data and the knowledge list and feeding back the reasoning result to the Prompt construction module so as to assist in generating the normalized Prompt. According to the system, the integration capability of the AI Agent on business logic and data resources in the task planning process is remarkably improved, so that the AI Agent can more accurately understand enterprise-level business scenes, and standardized and intelligent planning support is provided for practical application of the AI technology in enterprise digital transformation.

The invention discloses a method for generating a text system, and aims to solve the problems of long development cycle, disjunction of requirements and technology implementation and the like of traditional software and realize automatic generation from a natural language requirement to a deployable service system based on a large language model. The method is divided into two stages: in the first stage, a system is disassembled into a logic subsystem through man-machine cooperation, core business logic is extracted, a large language model is called by adopting a divide-and-conquer strategy, and a detailed specification containing a functional process and an interface form is generated; in the second stage, a large language model is called to generate a database table structure and a DDL script, an engineering framework of a basic technology stack is initialized and integrated through a predefined scaffold, CRUD codes are generated, the codes are analyzed to generate a transformation plan for structured data, and target logic codes are incrementally integrated. According to the method, control is achieved through Python, the problem of large model input limitation is solved, and generated codes are standard and extensible. The development cycle is shortened, the requirement-design-code consistency is guaranteed, the threshold is lowered, platform locking is avoided, and enterprise digital transformation is assisted.

A system and method for an AI-based Automated Software Application Development Platform which intelligently gathers requirements from a business analyst and generates a runnable software application from those requirements. The AI-based platform enables the business analyst with no technical knowledge to visually model their requirements rapidly without requiring any programming Using the abstract requirements architecture and the platform, the analyst creates requirements models for the application's business processes and business tasks for each of the processes, including defining the supporting information needs. The system intelligently assists the user in defining the information needs for each of the business processes and their tasks. Once the requirements models are created by the analyst with the help of the platform, the platform automatically designs and creates an appropriate persistent canonical data model for the application from the defined information needs. The platform then creates a runnable software application. The system also provides a template for the user to input their requirements in descriptive text, and accepts requirements document for applications as written free form text or text documents written in English as input, and in a non-English language that the system automatically translates them into English. The system provides a method for reverse engineering an existing application, including generating a requirements document for the existing application such as a legacy modernization or digital transformation an old applications for redesigning, updating or revising them to accommodate a new requirements set for such applications.

The invention discloses a human resource data classification statistical method and system based on big data. The method comprises the following steps: collecting employee basic information and employee behavior data; performing coding processing on the staff statistical data, establishing a staff multi-modal feature set according to the staff basic information and the staff behavior data, inputting the staff multi-modal feature set into a deep learning model, and predicting staff skill scores; extracting the employee behavior data and the employee skill score, constructing an employee behavior feature matrix and a post skill feature matrix, setting a first potential factor and predicting an employee stable value according to the behavior feature matrix, and setting a second potential factor and predicting a post matching value according to the post skill feature matrix; according to the employee stable value and the post matching degree, post recommendation scores are distributed, and a recommendation score thermodynamic density map is visually output; according to the method, the whole process from data acquisition to decision recommendation is automatic, talent evaluation precision is realized, employee demission risks are effectively predicted, and digital transformation of human resource management is realized.

The invention relates to the technical field of intelligent forms, and discloses an intelligent workflow form system based on state driving, which comprises a field authority control module, an auditing process configuration module, a node storage verification module, a composite authority control model and a dynamic form rendering engine. According to the application, through the field authority control module and the audit process configuration module, the static stiffness problem of the authority and the process is solved; through a node storage verification module, the problem of splitting of data verification and version management is solved; all the modules are linked through a unified docstatus value to form closed-loop management, and the problem that the system modules are lack of collaboration is solved. By the adoption of the method and device, the core pain points of a traditional workflow form system in authority dynamics, process flexibility, data consistency and user experience are solved, the enterprise operation efficiency is improved, the adaptability of the system to complex business scenes is enhanced, and the core requirements of intelligence, high efficiency and safety in current digital transformation are met.

A collaborative management authority rule optimization system based on community discovery comprises a feature extraction module, an organization role screening module and a data attribute screening and authority distribution control module. Generating a standardized user feature vector and a data vector through structured coding and semantic modeling; the organization role screening module constructs a user collaboration graph based on a community division algorithm, and reasones user optimal role mapping by using a community portrait model; the data attribute screening module is combined with a data classification tree and a structure dependency relationship extraction algorithm to recognize a semantic category and upstream and downstream dependency chains of target data; and the permission allocation control module performs reasoning in combination with a permission knowledge base according to roles, data classification and a dependency relationship, and finally generates a permission allocation table, so that dynamic permission configuration and strategy matching oriented to a collaborative scene are realized. Through automatic role mapping, data semantic association analysis and authority inheritance reasoning, accurate authority distribution and real-time strategy adjustment in a ship collaboration scene are realized, so that data security and collaboration efficiency are improved, and core support is provided for digital transformation of the ship industry.