1318 results about "File management" patented technology

The invention relates to the technical field of archive management, in particular to an archive full life cycle management system and method based on cloud computing. The method specifically comprises an intelligent classification module based on a format adaptation degree function and semantic density analysis, a five-stage life cycle management module, and an authority scheduling module fusing RBAC / ABAC authority control and block chain auditing, and based on a matrix decomposition archiving static coding mechanism, document security storage and analysis are realized through an orthogonal matrix and pseudo-inverse operation, and the file security is realized. The data security in a long-term archiving scene is improved; cloud storage resources are dynamically optimized according to the document life cycle state and the access frequency, and the storage cost is reduced in combination with a cold and hot layering strategy; and an AI algorithm is introduced, the archive retention value is automatically evaluated according to laws and regulations and semantic analysis, and a compliant destruction decision is realized. According to the method, through multi-model fusion metadata extraction, dynamic strategy binding and automatic state transition, the whole-process management efficiency and safety are remarkably improved.

The invention belongs to the field of civil aviation, provides a civil aircraft field service operation scheduling control system, and aims to solve the problem of low cooperative efficiency of multiple links of ground service scheduling. File management is based on an Ali cloud OSS development interface, supports multi-format files, and realizes functions of permission access, encryption and the like; communication adopts an MQ / MQTT architecture to construct an IM system, and supports multi-type message transmission and http network communication; data processing packages a multi-language database interface, and internal and external network secure intercommunication is realized through a gatekeeper agent. Flight functions cover and guarantee node management and control, dynamic updating, cross-department communication, real-time flight data butt joint, task distribution of unified operation according to work types, and support of multi-terminal such as a web terminal and a handheld terminal and nailing access. Ground service multi-scene requirements can be met, and the operation efficiency and the management level are improved.

The invention discloses a file retrieval and management method fusing an AI large model and graph data, and belongs to the technical field of retrieval management, the retrieval and management method comprises the following specific steps: I, a user imports a multi-format file into a file retrieval and management system, and the system extracts characters and structured content through a file analysis module; iI, the file retrieval and management system gradually constructs a multi-level database based on the analyzed file content and metadata; iII, performing full-process management on the file from creation to archiving, and providing an intelligent tool to optimize a document processing process; according to the method, the automation and efficiency of file management can be greatly improved, a high-precision semantic search and sorting result is provided, complex association analysis and multi-dimensional query are supported, professional document translation requirements in an internationalized scene are met, document content management is optimized, and the knowledge precipitation capacity is improved.

The invention discloses a human resource archive filing management system, and relates to the technical field of data management, the system comprises an acquisition module, a processing module and a management module, the acquisition module acquires original archive data of employees, transmits the data to the processing module, classifies the original archive data according to a preset first rule, and stores the classified data to the management module; the first archive data is obtained, controlled and managed, a calling permission and a distribution strategy are generated, the first archive data is recognized through a preset second rule, second archive data is generated, corresponding processing is conducted according to the processing priority, a processing log is reserved, third archive data are obtained and transmitted to the management module, and the management module is used for managing the first archive data. A distributed cloud storage cluster and a local storage node are constructed, an overall storage architecture and a retrieval path of third archive data are optimized, archive management is refined through three-dimensional classification, data integrity is guaranteed through field-level verification and automatic completion, scene-based dynamic authority control safety is achieved, compliance risks are intelligently cleared and avoided, and efficiency is improved through mixed storage. And active management of archive management is promoted.

A Data Storage Device (DSD) includes a first memory storing reference files used to derive vector embeddings in a vector database. A query vector embedding is received from a host and one or more vector embeddings similar to the query vector embedding are identified in the vector database. One or more reference files from which the one or more vector embeddings were derived are identified and stored in a second memory for faster access. In another aspect, a query vector embedding is received by a host that identifies one or more vector embeddings that are similar to the query vector embedding and retrieves the one or more vector embeddings from a DSD to provide to an Artificial Intelligence (AI) model. One or more reference files are identified from which the one or more vector embeddings were derived and are prefetched from the DSD for storage in a host memory.

The invention provides an urban construction and traffic engineering investigation and design enterprise product quality management system and method. The system comprises a cross-project type quality data fusion module, a dynamic defect evolution prediction module, an intelligent layered spot check engine, a three-dimensional quality situation deduction module, a conference knowledge graph construction module, a result influence evaluation module and a self-adaptive file management system. All the modules are connected through a unified data bus to form a closed-loop management process of quality data acquisition, analysis, decision and feedback. According to the system, through the functions of multi-modal data fusion, defect prediction, intelligent spot check, situation deduction, knowledge precipitation, achievement evaluation, file management and the like, the whole-process intelligent management and control of the project quality are realized, and the management efficiency and the decision scientificity are improved.

The invention discloses an intelligent file cabinet management method based on the RFID technology, and relates to the technical field of intelligent file management. According to the method, intelligent retrieval is adopted, file positioning is fast and accurate through double indexing of content attributes and RFID tags, and a user only needs to input conditions such as keywords, themes or dates, so that the file can be rapidly and accurately positioned; according to the method, relevant archives can be screened out through similarity matching, the actual storage positions of the archives can be positioned, the retrieval efficiency is remarkably improved, meanwhile, a virtual digital library is established to conduct digital mapping on the archives, and dependence on actual storage space is reduced; under the condition of dense storage, the position information of the archives is recorded through the RFID tags, so that the archives can be flexibly put on a shelf or readjusted in position without influencing the management and positioning of the archives, meanwhile, the archives are digitized when being put in storage, and all content attributes, classification tags and position information are synchronously stored in a virtual digital library; even if the paper archives are actually damaged or lost, the digital information of the paper archives is still completely stored in the digital library.

The invention relates to a DevOps-oriented containerized test environment deployment system and method, and belongs to the technical field of Internet. A multi-service test environment is defined through a YAML file, environment variables are managed in combination with an. Env configuration file, dependency is optimized through dependency layering and a cache library, a container mirror image is constructed, and a container cluster is started; managing multiple tasks through a centralized scheduling architecture, and realizing resource isolation of a container cluster by using Cgroup; adjusting the number of container instances in real time based on a capacity expansion and contraction mechanism; a bridging network is used for automatically distributing a container IP, a built-in domain name system analyzes a service name dynamic discovery service, and rapid reconstruction of a containerized test environment is achieved. According to the method, a YAML and environment variable separation mechanism is adopted, real-time loading of development, testing and production environment configuration is supported, the deployment time is shortened to the second level, the resource utilization rate is increased to 90% from 60%, the multi-service communication difference is eliminated, and efficient interconnection between containers is ensured.

Systems and methods receive a selection of and filter documents for an electronic document search. A semantic vector analysis module is applied to text of the filtered documents to build respective floating point vectors for each of the documents, and the respective floating point vectors are stored to a vector database. A textual query is received and vectorized to produce a query vector representing search criteria. The vector database is searched in accordance with the query vector to identify similar documents that satisfy a similarity measure. A ranked list of vectors that include highest similarity scores relative the query vector is generated and similar documents are identified. A neural network is used to process document data of the similar documents to generate a textual response to the textual query, and control signal(s) are transmitted to a user device to initiate displaying the generated textual response and question answer events.

The invention discloses a low-orbit satellite measurement and control data transmission function application efficiency improving system, and belongs to the technical field of low-orbit satellite communication. A data storage unit equipped with a file management system is integrated, and the storage unit is divided into areas with different priorities. And the data transmission signal processing unit can read the data according to the priority sequence or a certain pre-planned fixed priority. Besides, the load monitoring unit can carry out power-up and default parameter configuration on a satellite load single machine or module according to preset ground station capability and position parameters in combination with the real-time position of the satellite, so that accurate adjustment of the satellite state is realized, and energy consumption is reduced. The method has the remarkable advantages that autonomous operation of the satellite load is supported, and meanwhile self-adaptive adjustment of the data transmission rate and high-frequency rapid return of all working parameters of the load are considered.

The invention is suitable for the technical field of file management, and provides a file analysis method and system and a vehicle, the file analysis method and system are applied to a file analysis system, the file analysis system runs at a browser end, and the file analysis system comprises the steps that binary header information of a to-be-analyzed file is analyzed according to the byte position, obtained in advance, of the binary header information in the to-be-analyzed file, and the binary header information of the to-be-analyzed file is obtained; binary index position information of the to-be-analyzed file is obtained; according to the binary index position information, reading and analyzing binary index data of the to-be-analyzed file to obtain index data, determining a target data block meeting a preset requirement according to basic information of each data block, and reading the target data block; and analyzing the data in the read target data block to obtain formatted target data. According to the invention, the problem that the cost of cloud data storage and data analysis is increased due to the fact that a large amount of file data is analyzed and stored at the cloud in the prior art can be solved.

The invention relates to the field of psychological health, and provides an employee psychological health management system and method based on cloud computing, and the system comprises a psychological archive management module which is used for collecting, classifying, storing and updating the psychological health data of employees, and calculating the comprehensive psychological health indexes of the employees; the intelligent psychological assessment module is used for acquiring psychological data of the employees and assessing psychological states of the employees by applying an advanced regression model to obtain psychological assessment results; the remote psychological counseling module is used for evaluating the psychological counseling effect of the employee to obtain a first evaluation value of the psychological counseling effect; the personalized psychological assistance plan generation module is used for generating a psychological assistance plan for the employee; and the virtual reality psychological treatment module is used for providing psychological treatment service for the employees through the virtual reality technology and evaluating the treatment effect to obtain a second evaluation value of the virtual reality psychological treatment effect. According to the invention, the psychological health state of the employee can be comprehensively and accurately improved.

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 relates to the technical field of archive management, and particularly discloses an archive classification management system based on artificial intelligence, which comprises the following modules: a multi-modal data acquisition module used for integrating texts, images, audios and metadata to generate fusion feature vectors; the dynamic classification engine is used for dynamically optimizing classification rules based on a Transform model and a reinforcement learning framework; the block chain evidence storage module is used for recording a classification operation hash value by using an intelligent contract; the intelligent life cycle management module is used for automatically triggering archiving and destroying processes according to the classification labels; and the self-adaptive value evaluation module is used for dynamically generating a value report through a time sequence neural network. The method has the beneficial effects that 1, the classification efficiency and accuracy are improved; 2, file values are fully excavated; 3, the system adaptability is enhanced; and 4, file safety is guaranteed.

The invention belongs to the technical field of nuclear power station file management, and particularly relates to an intelligent nuclear power station file classification and retrieval system based on artificial intelligence. The file acquisition module is responsible for uniformly acquiring and accessing multi-modal files in the nuclear power station; the preprocessing and natural language processing module is used for carrying out deep processing and semantic analysis on the collected multi-modal document; the dynamic classification module is used for carrying out multi-dimensional automatic classification on the multi-modal document based on a deep learning model and a nuclear power industry knowledge graph; the dynamic knowledge updating module is used for continuously monitoring new documents and user feedback and keeping adaptability to industry changes; the intelligent retrieval module is used for providing a query function for a user through semantic vectorization and a large-scale rapid retrieval technology; and the intelligent recommendation module is used for providing targeted document recommendation for the user through association analysis and collaborative filtering. According to the method, the problems of low classification efficiency, insufficient retrieval accuracy, weak dynamic adaptive capacity and limited multi-modal data processing capacity are solved.

The invention provides a file management method, system and device based on a converged edge network and a medium, and the method comprises the steps: obtaining a file management request, calling a file uploading interface according to the file management request, and obtaining file data uploaded by a specified terminal connected with the file uploading interface; determining a target edge cloud node closest to the geographic position of the specified terminal in the fused edge network according to a preset fused edge network rule; uploading the file data to the target edge cloud node, and performing file storage and management on the file data based on the target edge cloud node to obtain key data; and synchronizing the key data to a central server connected with the target edge cloud node for storage according to a specified synchronization strategy. According to the invention, the distance and time of data transmission can be reduced, the delay caused by long-distance data transmission is reduced, the bandwidth use is reduced, and the efficiency and speed of data collection are improved.

The invention discloses a nuclear facility decommissioning simulation file editing management method based on cloud and local collaboration, and relates to the technical field of file management, and the method comprises the steps: verifying the identity of a user, receiving a file, and converting the file format; processing the simulation file through the first collaborative editing and performing real-time auditing; and setting a file operation authority based on the first encrypted storage file. According to the nuclear facility decommissioning simulation file editing management method based on cloud and local collaboration provided by the invention, intermediate format conversion is performed after the data is received, the applicability and flexibility of the system are improved, and the efficiency of multi-user operation is improved through a collaborative editing and auditing mechanism; and meanwhile, the correctness and consistency of the file are ensured in the aspect of processing conflicts, the security of the data is protected through encrypted storage and authority control, and higher security and recovery speed are achieved in the face of attack and decryption. The method has better effects in the aspects of safety, application range and reliability.

The invention relates to the technical field of archive management, in particular to an archive management system based on a big data technology. The system comprises a confidential grade evaluation module, an archive storage path making module and a decryption rule definition module. According to the invention, the confidential grade evaluation module is combined with the confidentiality standard to perform confidential grade evaluation on the obtained to-be-managed data, the file storage path making module is used to make the matched file storage path according to the confidential grade evaluation result of the to-be-managed data, and the to-be-managed data is subjected to regionalized storage. A regional decryption rule is established through a decryption rule definition module, automatic secret-related recognition processing is achieved, public data encryption processing and file management resource waste are avoided, meanwhile, a corresponding storage area is matched according to the data secret-related degree, decryption planning is conducted according to a storage path in the decryption process, and the decryption efficiency is improved. The automatic management of the whole archive management is ensured, the archive management effect of different data is improved, and the adaptability of the whole system is improved.

The invention discloses a knowledge question-answering method and system based on a large language model and a semantic abstract. The system comprises a tree structure abstract generation subsystem which comprises a knowledge base configuration module, a file management module, a document analysis module and a knowledge block management module and is used for automatically generating tree structure hierarchical knowledge blocks for large manual documents or multi-chapter manual documents; the dual-channel retrieval engine subsystem comprises a question rewriting module, a semantic abstract retrieval module, a detail knowledge block retrieval module, a father-son retrieval module and a prompt word construction module, and all the modules work cooperatively to ensure that semantic abstract knowledge blocks and detail knowledge blocks related to the question of the user are retrieved. According to the method, by introducing the semantic abstract based on the tree structure and the two-channel retrieval, perception of global knowledge and accurate extraction of local fine-grained knowledge can be achieved at the same time, and then the ability of a knowledge base question-answering system in processing the general and inductive problems is improved.

Upon receiving a usage request that includes a file identifier and a version identifier from a user terminal 20, a control server 10 transmits a file request that is based on the usage request to a file management system, and transmits a permission information request that is based on the usage request to a distributed ledger system. Upon receiving the file request, the file management system acquires the file that corresponds to the combination of the file identifier and the version identifier and transmits the file to the control server 10. Upon receiving the permission information request, the distributed ledger system acquires permission information that corresponds to the combination of the file identifier and the version identifier from a distributed ledger, and transmits the permission information to the control server 10. The control server 10 transmits the file to the user terminal 20 if the user of the user terminal has viewing permission based on the permission information.

The described embodiments set forth techniques for managing subscription service files, e.g., Customized Applications for Mobile network Enhanced Logic (CAMEL) Application Part (CAP) files, for export and / or transfer of an electronic SIM (eSIM) from a source wireless device. As part of an eSIM procedure to transfer an eSIM, e.g., a processor of the source wireless device obtains, from one or more applet asset servers, one or more subscription service files usable to generate a version of applets associated with the eSIM. The wireless device generates an eSIM export package that includes the eSIM and at least one of the one or more of the subscription service files. The processor of the source wireless device provides the eSIM export package to the target wireless device to use to install the transferred eSIM and one or more applets based on the subscription service files on the eUICC of the target wireless device.

To support various tasks related to the employment of foreign nationals, such as through electronic applications. [Solution] The electronic application support device 1 related to the employment of foreigners of the present invention comprises a foreigner data management unit 111 that manages foreigner data including information regarding the employment of foreigners, a definition file management unit 112 that manages definition files for generating, based on the foreigner data, electronic application data to be sent when submitting an electronic application for the employment to the Immigration Bureau, an electronic application data generation unit 114 that generates electronic application data based on the foreigner data and the definition file, and a verification unit 116 that verifies the validity of the electronic application data, and the verification unit 116 is configured to at least verify whether the foreigner's work visa is within the expiration date and not provide a verification result that the electronic application data is valid if it is not within the expiration date.

The invention discloses an electrical engineering drawing wiring relation intelligent identification system based on multi-modal fusion, and the system comprises a file management module which is used for supporting the opening, browsing, exporting and temporary caching of a PDF file, creating an engineering file to store an identification progress, manually correcting a record and parameter configuration, and achieving breakpoint continuous processing; and cross-drawing wiring relation linkage analysis is supported. The drawing preprocessing module comprises an image optimization sub-module and a layer separation sub-module, the image optimization sub-module is used for extracting an original vector path and filtering redundant graphic elements for the vector version PDF and carrying out denoising and binarization processing for the scanning version PDF, and the layer separation sub-module is used for separating layers based on graphic attributes.

1. Name of the Design Product: Extended Interface of the Intelligent Agent Graphical User Interface for Electronic Devices. 2. Use of the Design Product: For an electronic device. 3. Design Key Points of the Design Product: Lies in the interface content expressed by non-dotted lines in the graphical user interface. 4. Picture or Photo Most Indicating the Design Key Points: Design 1, Variation State Diagram 1. 5. Design 1 is designated as the basic design. 6. Use of the Graphical User Interface: The overall graphical user interface of this design is for the intelligent agent of an electronic device, and the locally protected part is for the extended interface of the intelligent agent graphical user interface of an electronic device. In Design 1, the user can input instructions in ways such as text or voice. After the intelligent agent, as the intelligent assistant of the electronic device, makes a response, the interface is as shown in the main view. At this time, the user can click the "Use" button in the window on the right side of the interface to expand the function extension area of the intelligent agent from one side of this window. The expanded interface is as shown in Variation State Diagram 1. In the interface shown in Variation State Diagram 1, the user can supplement the content of the input instructions or upload materials. When the user completes the relevant operations and clicks the "Generate Outline" button at the bottom of the interface, the intelligent agent will generate the corresponding content, and the generated interface is as shown in Variation State Diagram 2. In Design 2, the user can click on a certain application program card recommended by the intelligent agent, as the intelligent assistant of the electronic device, in the interface shown in the main view. After clicking, the application program window will expand, and the expanded interface is as shown in the variation state diagram. In this interface, the user can click the "Generate with One Click" button in the interface to generate relevant pictures and other content. In Design 3, the user can click on a certain application program card recommended by the intelligent agent, as the intelligent assistant of the electronic device, in the interface shown in the main view. After clicking, the application program window will expand, and the expanded interface is as shown in the variation state diagram. In this interface, the user can click on a certain file card in the interface to use the file management function. In Design 4, the user can click the "Generate Outline" button in the interface shown in the main view to open the outline content preview interface. In Design 5, the user can click the "Generate with One Click" button in the interface shown in the main view to generate pictures and other content. In Design 6, the user can click on a certain file card in the interface shown in the main view to use the file management function. 7. Other Situations Requiring Explanation: Other Explanation: The "X" in the interface represents text, numbers, and / or symbols. The claimed design does not include the interface content represented by dotted lines and the quantity of "X" in each design. Among them, the rounded rectangle frames indicated by relatively thick and dense dashed lines in the middle of the interfaces shown in the state change diagram of Design 1 and the front view of Design 4 are all inherent elements in the interfaces and are not the content that is not required to be protected as mentioned above.

The invention discloses a data processing method for a full-life-cycle resident health record. The method comprises the following steps: S1, integrating data from various devices and systems through a standardized interface; s2, preprocessing the collected health data, and storing the health data in a distributed database and a cloud storage system; s3, performing consistency processing on data from different sources by using data cleaning, duplicate removal and standardization technologies; s4, performing deep analysis on the health data by applying a long-short-term memory network; s5, carrying out data encryption through AES and RSA technologies, and guaranteeing the privacy of the user through role-based access control and a differential privacy technology; and S6, integrating the mobile health application and the intelligent wearable device into a health file management system, and supporting real-time health monitoring and remote medical services. The system has the advantages of comprehensive coverage, real-time processing, efficient storage, intelligent analysis, data security and privacy protection, cross-platform sharing and remote medical integration.

The invention discloses a source network load storage cooperative control system, and the system comprises the following modules: an uploading module which is used for uploading the historical power information of a local power generation end, a power distribution end, a power utilization end, and an energy storage end; a data analysis module; the calculation module analyzes and calculates the obtained data to find the optimal working time period and load capacity of each type of equipment; the virtual power plant system establishes and stores a virtual power plant model; the electrical load management platform comprises a user file management module, a response protocol management module, a load dynamic monitoring and sensing module, a multi-scale load prediction module, an adjustable resource potential evaluation module, a demand response strategy engine module, an optimization scheduling and control instruction generation module, a user incentive settlement module and an energy efficiency and carbon efficiency analysis module. A storage management platform; and the regulation and control device stores a virtual power plant optimization regulation and control model. According to the method, the cross-regional and multi-time-scale dynamic adjustment requirement can be met conveniently, comprehensive, considerable, measurable and controllable power balance maintenance is achieved, and flexible and adjustable resources are reasonably applied.

The invention discloses an unsafe behavior monitoring system, and the system comprises a real-time monitoring module which is used for obtaining a video image of a construction site scene in real time; the early warning module is used for detecting unsafe behaviors of the video picture and performing early warning on the unsafe behaviors; the personnel safety file management module is used for identifying identity information of construction personnel and recording working states and unsafe behaviors of the construction personnel; the site safety management module is used for calculating a coverage area and a blind area of the camera according to the planar graph information of the construction site, the position of the camera and the visual field; the conversational query module is used for analyzing the query request content of the user, retrieving the related video content according to the query request content and outputting a retrieval result meeting the query requirement; and the safety education training module is used for generating education training contents according to the detected unsafe behaviors. The monitoring efficiency is improved; and meanwhile, analysis of video contents based on different fine granularities can be completed, so that the safety monitoring precision and the monitoring effect are improved.

The invention provides an intelligent archive management method and system, and relates to the technical field of archive management, and the method comprises the steps: building an archive location information map, initializing an archive location database, and configuring an equipment communication protocol; after the operation end passes through the warehousing face entrance guard, the to-be-shelved archives are placed in a warehousing temporary storage area; matching a racking position according to the RFID tag and generating an instruction; scheduling a file taking and returning robot to execute a shelving task; the operation end inputs a file taking query instruction through the intelligent interaction terminal and then determines a file to be taken off, the file taking-off position is matched according to the RFID tag, and an instruction is generated; scheduling the file taking and returning robot to execute the off-shelf task; after the operation end passes through the warehouse-out face entrance guard, the files are taken away from the warehouse-out handover area; and according to the archive checking instruction, the robot is scheduled to carry out scanning and identification, a storage position record is generated, a database is updated, and a checking report is generated, so that the archive access efficiency is remarkably improved, and the accuracy, safety and intelligent level of archive management are ensured.

The invention discloses a multi-dimensional archive quality analysis method and system based on quantitative evaluation, relates to the technical field of archive management, and aims to solve the problem that subjective factors are too strong in the existing archive quality evaluation process. According to the method, scores involved in the early stage in the existing archive quality evaluation process are corrected in a data driving and model analysis mode so as to obtain a first optimization score and a first compensation score respectively, and then a final first optimization compensation score is obtained in a weighted summation mode; therefore, the final comprehensive score, namely the archive quality score, obtained based on the first optimization compensation score can effectively reduce the influence of subjective factors, so that the scientificity and accuracy of the evaluation result can be effectively improved, and a subsequent operation strategy is formulated based on the evaluation result with high scientificity and accuracy. The method can effectively reduce the making of wrong decisions in the case of file quality evaluation reports, thereby effectively improving the overall effect and efficiency of file management.

The embodiment of the invention discloses a virtual file management method, system and device and a storage medium. According to the technical scheme provided by the embodiment of the invention, under the condition that the file request is received, the virtual path contained in the file request is extracted, the virtual path is created when the target file is generated, path classification is performed according to the module identifier of the associated target service module, and the target file is stored in the system path mapped by the virtual path. The system path is generated by mapping based on the virtual path and a pre-constructed mapping rule; mapping the virtual path into a corresponding system path based on a mapping rule; and accessing the target file based on the system path to execute a file operation corresponding to the file request. By means of the technical means, the situation that file directory structures of different service modules are disordered can be avoided, unified file management of the different service modules in the application is achieved, the file management efficiency of the different service modules is improved, the application service effect is improved, and therefore the user experience is improved.