3334results about How to "Improve maintainability" patented technology

The invention relates to the technical field of model construction, in particular to an obstetric delivery decision model construction method based on a knowledge graph. The method comprises the following steps that multi-dimensional information collection is conducted on a pregnant woman to be delivered, individualized data are obtained, and the multi-dimensional information comprises a medical record text, a laboratory examination result, an ultrasonic image and fetal heart rate monitoring data; performing standardization and structural processing on the individualized data to generate a standardized multi-modal data set; performing entity identification and relation extraction processing on the standardized multi-modal data set according to a preset obstetrical domain ontology model to obtain an initial knowledge graph; and carrying out priori knowledge-based mapping expansion on the initial mapping knowledge domain to obtain a multi-modal mapping knowledge domain. Through an attention mechanism and a decision support interface, the interpretability of the model is enhanced, and doctors can understand and trust decision suggestions.

The invention discloses a smart home energy management optimization method in an Internet of Things environment. According to the method, the Internet of Things technology is utilized, intelligent identification and classified management are carried out on equipment, multiple energy management strategies are preset, and a user can conveniently and autonomously adjust; energy data is monitored in real time through a sensor and an intelligent electric meter, an energy consumption rule is mined by using a big data analysis technology, and a demand trend is predicted; constructing an intelligent energy dispatching center, and formulating a dynamic energy distribution scheme by using an optimization algorithm; a mobile phone application and an intelligent control panel are developed, and a user is supported to check data, control equipment and carry out personalized customization; and meanwhile, equipment firmware upgrading and remote management are realized. According to the invention, energy consumption can be reduced, cost can be controlled, equipment collaboration and energy distribution efficiency can be improved, user experience can be enhanced, system maintenance and upgrading are facilitated, and intelligent household energy management is more efficient, intelligent and flexible so as to adapt to diversified household requirements.

The invention relates to the technical field of software development, and particularly provides a self-adaptive code annotation updating method and system, a terminal and a storage medium, and the method comprises the following steps: confirming that codes are updated, extracting an updated code set, and combining and constructing an abstract syntax tree for the codes; performing semantic analysis on the abstract syntax tree by using a deep learning model to generate a semantic vector, and constructing a program dependency graph based on the semantic vector; analyzing a dependency relationship among code elements in the program dependency graph by utilizing a graph neural network; and generating a code annotation based on the semantic vector and the dependency relationship between the code elements by using a natural language generation model. According to the method, the real-time performance and the accuracy of the code document are ensured, the readability and the maintainability of the code are greatly improved, and the maintenance cost is reduced.

The invention provides an electric engine, a control method, a related device, a motor controller and an aircraft, and relates to the technical field of aircrafts. The electric engine comprises a power motor, a heat dissipation system and a control module, a cavity is formed in the power motor, the control module is integrated in the cavity, the space occupied by the electric engine is reduced, and therefore the size of the aircraft is reduced; the control module comprises at least three integrated driving modules, part of the driving modules are electrically connected with the power motor so as to control the power motor, part of the driving modules are electrically connected with a variable pitch motor of the propeller so as to control the variable pitch motor, and part of the driving modules are electrically connected with a heat dissipation motor in the heat dissipation system so as to control the heat dissipation motor. The performance and efficiency of the electric engine are improved through unified integrated control over the power motor, the heat dissipation motor and the variable pitch motor. And through a unified control architecture, the system design is simplified, the development and maintenance cost is reduced, and the maintainability of the electric engine is improved.

The invention belongs to the technical field of condensation prevention of power equipment, and discloses an intelligent induction type condensation prevention system and method for the power equipment, and the system comprises a multivariate data collection unit, an intelligent control unit and an execution unit, and achieves the comprehensive real-time monitoring of the internal and external environments of the equipment through the integration of the multivariate data collection unit; the intelligent control unit can accurately predict the condensation risk based on real-time and historical data by using a pre-trained machine learning model, and dynamically adjust the condensation prevention strategy according to the condensation risk, thereby ensuring that condensation can be effectively prevented under various complex environmental conditions; the accurate execution of the execution unit further guarantees the condensation prevention effect, the operation stability and safety of the power equipment are integrally improved, the equipment fault risk caused by condensation is reduced, the service life of the equipment is prolonged, and the unnecessary maintenance cost is reduced; the system has self-learning and self-adaptive capabilities, can continuously optimize a control strategy to adapt to different environmental conditions, and ensures an optimal anti-condensation effect.

The invention discloses an Internet of Things equipment access protocol component development method, which is used for quickly developing an Internet of Things equipment access protocol analysis and processing component at an Internet of Things platform side, and comprises the following steps: S1, constructing a protocol analysis and processing general framework according to the protocol analysis and processing component of an Internet of Things platform; s2, abstracting a specific logic processing part of a protocol in the general framework into a method / function interface; s3, constructing a protocol expert AI knowledge base for data learning; s4, constructing an AI large model and a multi-agent processing flow, selecting a specified large model, configuring related parameters, extracting required parameter extraction / coding logic, and generating an interface implementation code; s5, integrating each generated interface implementation code with the universal framework; and S6, testing, adjusting and optimizing the integrated access protocol analysis and processing component. According to the method, the unified development template can be provided, so that the development technical threshold is reduced, and the development efficiency is greatly improved.

The invention discloses a context learning-based database query generation method and system and a storage medium, and the method comprises the steps: extracting keywords and phrases from a natural language query, retrieving values similar to the keywords in a database, and returning values most related to the keywords and corresponding columns thereof, retrieving description information related to the keywords and the phrases in a database directory; performing mode selection aiming at the most relevant value of each keyword and the corresponding column, namely screening out the column irrelevant to the natural language query, further selecting a table necessary for generating the SQL query, and finally reducing the mode to a minimum column set necessary for generating the SQL query; and correcting logic and grammar errors of the method model through the database mode, the natural language query, the generated candidate SQL query and the execution result thereof. According to the method, the efficient SQL query statement is generated by intelligently understanding the data context and the query requirement.

The invention belongs to the technical field of front-end development, and particularly relates to a React framework-based tree component optimization method fusing virtualization rendering and increment rendering. Comprising the steps of S1, data preprocessing; S2, dynamic virtualization rendering: dynamically calculating a node index range in a visible area according to a real-time scrolling position of a user viewport, only rendering nodes in the range, and realizing seamless lazy loading of data through scrolling event monitoring; s3, intelligent incremental updating: identifying changed nodes through a state change comparison algorithm, and executing local re-rendering only for the changed nodes based on a component life cycle control mechanism of a React framework; and S4, lazy loading cooperative control. The method aims at solving the problems in the aspects of performance, memory management, user experience and the like when a tree component in a React ecological system processes large-scale data, and is widely applied to various Web application program development scenes needing to display and operate a large-scale tree data structure.

The invention discloses a building curtain wall BIM forward design method, and relates to the technical field of building curtain wall design, and the method specifically comprises the following steps: obtaining environment dynamic information of each region in real time, and respectively generating an air flow equilibrium coefficient and a thermal effect index of each region; and constructing a heat effect risk model for the generated air flow equilibrium coefficient and heat effect index of each region, generating a heat effect risk coefficient of each region, and predicting a risk level of a heat effect caused by unbalanced air flow in each region of the air layer in the double-layer curtain wall. Dividing each area of the air layer in the double-layer curtain wall into a high-risk area, a medium-risk area and a low-risk area according to the prediction result; and taking corresponding air flow optimization and heat effect control measures according to the division result of each area of the air layer in the double-layer curtain wall. The heat effect problem caused by unbalanced air flow of the double-layer curtain wall is solved, and the effects of optimizing the heat preservation performance and reducing energy consumption are achieved.

The invention discloses a motor assembly, a thrust assembly and an aircraft, and relates to the technical field of aircrafts. The motor assembly comprises an outer rotor, one axial end of the outer rotor is a mechanical coupling end, and the other axial end of the outer rotor is an open end; at least part of the inner stator extends into the outer rotor from the open end to be rotationally connected with the outer rotor, and the inner stator is provided with a central shaft hole penetrating through the inner stator in the axial direction of the inner stator; the rear cover is arranged on the side, away from the mechanical connection end, of the inner stator so as to cover the central shaft hole. The cooling assembly is arranged on the side, away from the inner stator, of the rear cover; a part of the transmission assembly is arranged in the central shaft hole and is in transmission connection with the outer rotor, and the other part of the transmission assembly penetrates through the rear cover and is in transmission connection with the cooling assembly, so that the outer rotor drives the cooling assembly through the transmission assembly. According to the motor assembly, an independent driving assembly required by the cooling assembly is omitted, so that the overall weight of the motor assembly is optimized.

The invention provides a rapid construction and reuse method and system for an application framework, and relates to the technical field of application framework construction, and the method comprises the following steps: mapping code snippets to a high-dimensional tensor space, extracting multi-level code features, and constructing a code association graph and a deep semantic network; constructing a hierarchical Bayesian network based on the spatial-temporal feature map, executing variational reasoning and adaptive particle filtering, and generating a reconstruction code; driving a multi-level generation network by using a dual-dimension discriminator, optimizing a code structure and a dependency relationship, and generating a final optimization code through program slicing and incremental synthesis; according to the method, rapid construction and reuse of the application framework are realized, and the code quality and the execution efficiency are improved.

The invention relates to the technical field of servers, and discloses a silk-screen binding method, device and system for external card insertion equipment of a server, the method is applied to a processing module on a mainboard, and the method comprises the steps that the position of a PCIe expansion card in the server is obtained, burning information is read through an I2C switch of the PCIe expansion card, and the burning information is sent to the processing module; obtaining a physical slot silk screen of a server where the PCIe device is located on each slot, and obtaining an I2C address bound to each PCIe device; determining at least one PCIe device address according to a preset processor address, slot bandwidth information, at least one mapping relation and in-place information of the PCIe device on each slot; and establishing a binding relationship among the physical slot silk-screen of the PCIe equipment on each slot, the address of the PCIe equipment and the I2C address, and managing the PCIe equipment by using the binding relationship. According to the method, the BIOS or the BMC can freely access the same equipment through the I2C path, and the problem that specified equipment cannot be managed is solved.

The invention discloses an imaging method and system based on cosmic ray muon transmission, which are applied to a control mechanism, and the control mechanism is electrically connected with at least one detection module. The imaging method based on cosmic ray muon transmission comprises the steps that the response state of at least one detection module is obtained, the detection module comprises a plurality of sensor units, and the sensor units are arranged in a string shape. And preprocessing the response state to obtain muon flux in unit area, unit time and unit solid angle. Based on the topographic data, the landform data and the muon flux, the density distribution in the muon ray irradiation range is reversely deduced through a preset algorithm. And performing visual imaging based on a density distribution result. According to the method, the working efficiency of muon geological imaging is improved, the system complexity is reduced, the adaptability in a narrow working environment is remarkably enhanced, and an efficient and convenient solution is provided for the fields of geological exploration, engineering detection and the like.

The invention relates to the technical field of data processing, in particular to an automatic rule configuration process processing method, system and device and a medium, and the method specifically comprises the following steps: obtaining first delivery rule data, and carrying out semantic analysis and structured extraction on the first delivery rule data to form second delivery rule data; establishing a standard index library, and performing index systematic construction on the second putting rule data according to the standard index library to generate a multi-way tree rule; performing automatic verification on the multi-way tree rule according to a rule verification tool, determining whether the multi-way tree rule is reasonable or not, and if the multi-way tree rule is not reasonable, optimizing the multi-way tree rule; and obtaining historical advertisement putting data, and performing an advertisement putting scene simulation test on the multi-way tree rule according to the historical advertisement putting data. According to the invention, through generation, optimization and application of the multi-way tree rule, intelligent configuration, management and optimization of the advertisement putting rule are realized.

The invention relates to an intelligent integrated modular cabinet control method, system and device and a medium, and the method comprises the steps: monitoring the external environment parameters of a cabinet in real time through a sensor group in the cabinet, and carrying out the preprocessing of the external environment parameters through an edge computing device, and obtaining multi-dimensional environment parameters; integrating and analyzing the multi-dimensional environmental parameters and the internal operation data of the cabinet by using a multi-modal data fusion algorithm, and outputting a fusion analysis result; according to a fusion analysis result, generating a digital twinborn model of the current environment and the equipment state of the cabinet in the virtual environment, and performing rapid fusion simulation analysis on different adjustment schemes through simulation drift and a genetic algorithm to obtain an optimized adjustment scheme; and adjusting the resource configuration of each module in the cabinet and the operation state of the heat dissipation equipment based on the optimization adjustment scheme. The equipment cabinet has the effect of improving the operation efficiency of the equipment cabinet.

The invention relates to the technical field of computer code upgrading, and discloses an automatic code upgrading method and device based on a compiler and a storage medium. The method comprises the steps that firstly, lexical analysis, grammatical analysis and semantic analysis are conducted on a source code, an abstract syntax tree is generated, then a new standard grammatical rule mapping table is constructed, and a new standard grammatical rule mapping table is generated; and traversing the abstract syntax tree, querying whether the nodes of the abstract syntax tree can be queried in the mapping table, outputting the character strings mapped to the queried nodes, and normally outputting codes conforming to node semantics for the nodes which are not queried. The abstract syntax tree of the original code is automatically traversed, and node matching and conversion are performed according to the syntax rule mapping table of the new standard, so that the need of manual intervention is greatly reduced, the automation degree of code migration from an old standard to the new standard is improved, a large amount of manpower and time cost is saved, and the migration problem caused by human errors is reduced.

The intelligent factory data acquisition platform comprises a data sensing layer, a multi-protocol transmission layer, a data fusion layer and an application service layer, the data sensing layer is used for collecting equipment state and environment parameter multi-source heterogeneous data through various sensors, preprocessing the collected data and transmitting the preprocessed data to the multi-protocol transmission layer; the multi-protocol transmission layer is used for receiving the preprocessed data transmitted by the data sensing layer, packaging the data through a multi-protocol data transmission unit, then carrying out multi-protocol transmission, and outputting the transmitted data to the data fusion layer; the data fusion layer is used for receiving the multi-source heterogeneous data transmitted by the multi-protocol transmission layer, performing feature extraction and fusion on the heterogeneous data by adopting a self-correcting convolutional recurrent neural network, and outputting fused feature representation to the application service layer; and the application service layer is used for receiving the fusion features output by the data fusion layer, and performing equipment health diagnosis, process parameter optimization and energy consumption statistical analysis intelligent application services based on the fusion features.

The invention discloses a one-way optical shutter video stream transmission method based on weak supervision semantic segmentation, and belongs to the technical field of one-way optical shutter information transmission. Comprising the following steps: carrying out key region and background region classification and marking on all video data received by an optical shutter outer end through a weak supervision semantic segmentation model; performing priority division on a key region and a background region in the video frame; dividing the data packets according to time windows, and packaging the data packets; performing dynamic data compression and segmented coding on the packaged data packet; reed-Solomon redundant coding is carried out on all the data packets of the key area after compression coding is carried out on the data packets of the key area; dynamically adjusting the transmission sequence of the data packets to perform link scheduling; and a receiving end carries out de-encapsulation and data restoration, and reconstructs the restored video frame. According to the method, redundancy and compression of data transmission contents are accurately controlled, so that the transmission efficiency and reliability are remarkably improved, the bandwidth utilization is optimized, and the transmission reliability and stability are enhanced.

The invention discloses an automatic test method based on natural language processing, which comprises the following steps: S1, generating a test case: performing semantic analysis on a software requirement document or a test requirement by utilizing a natural language processing technology, extracting key information, and combining the extracted test information and a preset test case template to generate a test case; a preliminary test case is automatically generated; the key information comprises a test purpose, an operation step and an expected result; s2, analyzing the test case; s3, generating a test script; s4, executing the test script; and S5, analyzing a test result. According to the automatic test method based on natural language processing, the test requirements described by the natural language can be automatically analyzed, the test case is generated, the test is automatically executed, and the test report is finally generated, so that the software test efficiency is improved, the workload of manually compiling and executing the test case is reduced, and the test efficiency is improved. And the coverage rate and the accuracy of the test are improved, more software defects can be found, and the quality of software products is guaranteed.

The invention belongs to the technical field of distributed databases, and particularly relates to a decentralized copy control method of a distributed database, which comprises the following steps: step 1, copy management: determining the number and storage positions of copies according to data volume and system load requirements, and reasonably distributing data copies to different nodes; 2, replica consistency: selecting a consistency model to balance system performance and data consistency requirements; 3, synchronizing the copies: determining a data synchronization strategy between the copies, and adjusting according to the real-time requirement of the system; 4, conflict detection and resolution: detecting data conflict by using a timestamp, a version number or a logic clock mechanism, and designing a conflict resolution strategy; and 5, replica recovery: monitoring the state of each node, quickly detecting replica faults, and recovering data from other replicas. The stability, reliability and performance of the distributed database system can be effectively improved, and the distributed database system adapts to constantly changing service requirements.

The invention belongs to but is not limited to the technical field of software development, and particularly relates to a multi-round reasoning and feedback optimization method and system for industrial software codes, and the method comprises the steps: S1, vector code library establishment: the establishment of a vector code library is composed of three parts of feedback establishment, vector database establishment and format summarization; s2, code reasoning optimization: the code reasoning optimization mainly comprises four aspects: control flow graph analysis, multi-query generation and reciprocal ranking fusion retrieval, reasoning generation subtask and code chain submodule generation, and code combination completion; and S3, feedback optimization: the feedback optimization is composed of score feedback optimization and log feedback optimization. According to the method, an automatic verification mechanism is introduced, logic consistency check and performance evaluation are carried out on the generated and optimized codes, and the correctness and execution efficiency of the codes are ensured. The verification mechanism can find and correct errors in real time in each stage of generation, so that the cost of manual verification is reduced, and the development efficiency is improved.

The invention relates to the technical field of safe starting, in particular to a safe starting method and device for embedded equipment. The method comprises the following steps: dividing a processor in a target system architecture into a non-secure world and a secure world; establishing a trust chain guided by the Arm trusted firmware, and verifying the trust chain step by step by taking a BootROM read-only memory as a trust root of a starting process; in the secure world, verifying the Kernel kernel mirror image, and after the verification of the Kernel kernel mirror image is passed, creating a vroot virtual device through an auxiliary system mirror image in the Kernel kernel mirror image; and mounting the vroot virtual device to the virtual rootfs partition, switching to the actual rootfs partition after mounting is completed, and executing the initialization process of the operating system. According to the scheme, it is ensured that the embedded device is started in a safe and verified environment, and the starting reliability is enhanced.

The invention provides a UE5-based automatic construction and release method, and relates to the technical field of software development, the UE5-based automatic construction and release method comprises a construction module and a release module, and the construction module comprises the basic steps of construction triggering, pre-construction task execution, client and server packaging, log recording and automatic alarm. The release module comprises the basic steps of differential packet generation, version detection and automatic release, the intelligent prediction trigger carries out deep learning analysis on project development historical data, the peak period of code submission and the code conflict risk can be accurately predicted, construction is automatically triggered in the low-risk and resource idle period, and the construction efficiency is improved. The problem of low resource utilization efficiency caused by lack of multi-dimensional comprehensive judgment in a traditional construction triggering mode is effectively avoided.

The invention discloses a multi-module-based analog simulation calculation method, and relates to the technical field of analog simulation calculation, and the method comprises the following steps: S1, system demand analysis and module division; s2, establishing a module model and setting parameters; s3, constructing a parallel computing environment; s4, module parallel computing task allocation; s5, data exchange and synchronization; s6, summarizing results; and S7, feedback optimization. According to the analog simulation calculation method based on the multiple modules, through modular design, a complex system is decomposed into the multiple relatively simple modules, each module can independently conduct simulation and calculation, and the maintainability and expandability of the system are improved; data and information exchange and cooperative work can be carried out among different modules through interfaces, so that comprehensive simulation and optimization of the whole system are realized; in addition, parallel computing resources are fully utilized, parallel computing is carried out on the multiple modules, the computing time is greatly shortened, and the computing efficiency is improved.

The invention provides a whole blood donor low hemoglobin delayed blood donation risk prediction method, which comprises a data normalization and abnormal value processing module, a classification feature coding module, a category balance and model fitting module, a hyper-parameter adjustment module and a model interpretation and deployment module. According to the prediction method provided by the invention, data normalization and targeted feature coding are carried out on blood donation records and hemoglobin detection data, an SMOTE oversampling algorithm is used for class balance and then fitting of a Light GBM model is carried out, and a Hyperband hyper-parameter adjustment method is used for adjusting and optimizing SMOTE and Light GBM parameters. And storing the tuning model for feature importance interpretation, model packaging and network deployment, thereby realizing the effects of optimizing the whole blood donor invitation strategy and enhancing the continuity and stability of blood supply.

The invention relates to a control system for a water-jet loom. A data acquisition module acquires and transmits weft tension, humidity and temperature data in real time. The parameter calculation module calculates the optimal parameters of the water spraying time, the water pressure and the nozzle opening degree through a fuzzy control algorithm according to data changes and transmits the optimal parameters to a water spraying execution mechanism. The tension adjusting module adjusts the nozzle opening degree and the water spraying time according to the comparison result of the weft yarn tension and the preset threshold value. The nozzle optimization module optimizes the nozzle design by means of a computational fluid dynamics approach. The pressure adjusting module monitors pipeline pressure through a pressure sensor, and alarms and adjusts the rotating speed of a water pump and the opening degree of an electromagnetic valve if the pipeline pressure exceeds a threshold value. The state detection module monitors knitting needles and shuttles through the machine vision technology, and water spraying parameters are adjusted when abnormity occurs. The data processing module uploads data to a cloud platform, and big data and machine learning are utilized to optimize a control strategy so as to realize real-time monitoring and accurate control of various parameters of the water-jet loom and guarantee weaving quality and efficiency.

The invention discloses a fire-proof gas concentration detection device for a coal mine goaf, and relates to the technical field of environment detection, the fire-proof gas concentration detection device comprises a cylinder, the side wall of which is provided with an air inlet for introducing to-be-detected air; the air outlet cylinder is connected to the upper end of the cylinder body, fan blades are rotationally arranged in the air outlet cylinder, and rotation of the fan blades drives air to enter from the air inlet and flow through the whole device; the funnel-shaped dust collection cylinder is connected to the lower end of the cylinder body, and a plurality of separation blades are distributed on the inner circumference of the funnel-shaped dust collection cylinder and used for preliminarily filtering and blocking dust impurities in the air, so that the purified air enters the cylinder body to be detected; the dust collection box is connected to the bottom of the dust collection barrel; the plurality of sensor cylinders are uniformly distributed on the inner circumference of the cylinder body, a connecting seat is arranged in each sensor cylinder, and a gas semiconductor sensor is mounted on each connecting seat; the device can improve the precision of gas concentration detection, flexibly adapt to different working conditions and realize intelligent cleaning and maintenance.

The invention discloses a vehicle-mounted real-time road information acquisition system based on Internet of Things and edge computing, which comprises an integrated sensor module, a self-adaptive image processing module, an edge computing module, an intelligent task scheduling module, a distributed cooperative processing module, a resource allocation module, a hybrid optimization module and a resource reservation module. The system is decomposed into a plurality of loosely-coupled small services, each service is independently developed, deployed and expanded, the flexibility and maintainability of the system are enhanced, the system can quickly adapt to constantly-changing data processing requirements, an optimal resource allocation strategy is achieved through trial and error learning, and the resource allocation efficiency is improved. According to the distributed computing system and method, efficient utilization of resources is achieved by combining static optimization and dynamic adjustment, the response speed and the processing capacity of the system are improved, through a distributed cooperative processing module, when a certain edge device is insufficient in processing capacity, an adjacent edge device can be requested to assist processing, a distributed computing cluster is formed, and the processing capacity of the system is enhanced.

The invention relates to the technical field of water treatment, in particular to a movable treatment device for rural black and odorous water treatment, comprising: a movable vehicle body for supporting and moving overall components of equipment; the bottom of the treatment tank is fixedly connected with the top of the mobile vehicle body, the top of the treatment tank is fixedly connected with a water inlet end cover through a bolt, and the outer side of the treatment tank is fixedly connected with an access door through a bolt. Compared with the prior art, large-particle impurities can be prevented from entering the purification assembly, blockage of purification components such as an activated carbon cylinder is avoided, the smooth purification process is guaranteed, the burden of the purification assembly is relieved by removing the large-particle impurities in advance, and the purification assembly can treat small-particle pollutants and soluble substances more intensively. Therefore, the purification efficiency of the whole treatment device can be improved, and the treatment time and cost are reduced.

The invention discloses a mobile terminal offline bidirectional data synchronization method and system, and relates to the technical field of data synchronization processing, and the method comprises the following steps: initializing a whole table synchronization mechanism, and establishing a file mapping structure; a user performs data operation in an offline state, records data operation details and stores the data operation details in a local cache; when the network connection is recovered, a whole table synchronization mechanism is started, data compression and partitioning are performed, a synchronization request is sent to a server, and segmented data transmission is performed; after receiving the data, the server performs data storage and management by using a file mapping mechanism; detecting potential conflicts by utilizing a multi-version parallel management mechanism, carrying out conflict resolution, merging data with local data after the conflict resolution, and confirming that synchronization is completed to a server; after it is confirmed that all data are synchronized, local and global timestamps are updated, and meanwhile, the optimal thread count is dynamically determined by adopting a multi-thread technology. According to the invention, the efficiency, reliability and accuracy of data synchronization of the mobile terminal are remarkably improved.