839 results about "Collaborative design" patented technology

The invention provides a building construction scheme dynamic collaborative design system and method based on real-time surveying and mapping, and belongs to the technical field of building construction management and intelligent construction, and the system comprises a data collection module which is used for collecting surveying and mapping data of a construction site through a multi-source sensor, and generating real-time surveying and mapping data; the data analysis module is used for comparing the real-time surveying and mapping data with a preset BIM model so as to identify a construction deviation area and obtain key deviation parameters; the deviation acquisition module is used for determining a dynamic deviation coefficient based on the key deviation parameter and the construction deviation area; the strategy generation module is used for dividing deviation grades according to the numerical range of the dynamic deviation coefficient and generating a corresponding construction response strategy; and the deviation correction module executes the construction response strategy, verifies a deviation correction result based on the executed surveying and mapping data, and updates the dynamic deviation coefficient until the deviation correction result meets a preset requirement. And the accuracy and efficiency of the construction process are improved.

The invention provides a whole-process engineering consultation management design method, which comprises the following steps of: constructing a unified data exchange standard and protocol, converting heterogeneous data output by design tools of different professions and different units into a standardized data format, realizing seamless joint and real-time sharing of data through data middleware, eliminating data barriers, and improving the data exchange efficiency. The collaborative design efficiency is improved; according to the method, digital technologies such as BIM are adopted, a digital twin model of an engineering project is constructed in a design stage, a design scheme is deepened through virtual construction simulation and optimization, factors such as a construction process, construction procedures and resource allocation are fully considered, and the construction feasibility and economic rationality of design are improved; a collaborative mechanism of a design stage and a construction stage is established, experienced construction managers and technicians are invited to participate in design review, improvement suggestions and suggestions are provided from the construction perspective for a design scheme, a designer is helped to comprehensively understand construction requirements, and the design scheme is optimized.

The embodiment of the invention provides a BIM electric power engineering collaborative design method and a related device, and the method comprises the steps: obtaining data of a plurality of professional design models, carrying out the cross-professional feature extraction of the data of the plurality of professional design models, generating a feature information set related to each professional design model, and carrying out the collaborative design of the BIM electric power engineering based on a preset electric power engineering constraint rule set. Carrying out conflict coordination processing on cross-professional feature information in the feature information set, determining collaborative constraint parameters associated with the plurality of professional design models, carrying out parameter synchronous updating on the data of the plurality of professional design models according to the collaborative constraint parameters, generating a unified electric power engineering collaborative design model, and finally, carrying out collaborative design on the plurality of professional design models. And outputting three-dimensional space coordinate data and equipment interface parameter data corresponding to the electric power engineering collaborative design model, and triggering a data docking protocol with an external construction system.

The invention discloses a GPU computing power resource scheduling method and device based on load awareness and a medium, and relates to the technical field of computing power scheduling. The method comprises the steps that according to the video memory capacity and the number of calculation cores of the GPU, the video memory capacity is divided into a plurality of continuous fragments, the calculation cores are divided into a plurality of logic calculation groups, and sub-resource units are obtained; recording occupation states and load indexes of the sub-resource units in real time to obtain a resource pool; analyzing a job submitted by a user, and collecting an execution period of a kernel function, a video memory access mode and an instruction pipeline blocking rate when the job runs; and on the basis of a reinforcement learning algorithm, predicting a resource demand inflection point of the job according to the load fingerprint model, performing hierarchical scheduling on the sub-resource units based on virtualization isolation and multi-dimensional resource quantitative evaluation, and generating a preemptive allocation strategy of the sub-resource units. According to the method, efficient utilization and secure sharing of GPU resources are realized through collaborative design of dynamic granularity segmentation, load aware scheduling and hardware-level security isolation.

The invention discloses a product collaborative design management method and system based on data driving, and relates to the technical field of product design management, and the method comprises the steps: constructing a double-flow heterogeneous quantitative collection network; establishing an incidence matrix and calculating dynamic coupling strength among the parameters; designing a recursive deep belief network based on the incidence matrix and the dynamic coupling strength, encoding product structure parameters and design process data into a probability graph model, and constructing a design knowledge base; dynamically distributing the design rules in the design knowledge base by adopting a swarm intelligent optimization algorithm, generating a collaborative decision-making unit, and establishing a constraint propagation link; and generating a multi-target collaborative optimization scheme group, and screening an optimal scheme group based on Pareto frontier. According to the invention, omnibearing acquisition of product structure parameters and design flow data is realized through the double-flow heterogeneous quantitative acquisition network, and the data integrity is improved.

The invention discloses a data processing chip based on a heterogeneous computing architecture, and relates to the technical field. The data processing chip based on the heterogeneous computing architecture comprises a data processing unit for receiving and preprocessing data to be transmitted; the clustering compression engine is used for carrying out clustering compression processing on the preprocessed data to be transmitted; the modulation and coding control unit is used for carrying out modulation and coding processing on the data to be transmitted after clustering compression processing; the redundant coding unit is used for carrying out redundant coding processing on the modulated and coded data to be transmitted; and outputting the to-be-transmitted data subjected to redundant coding processing to a protocol stack and interface unit of external equipment according to a set communication protocol. Through collaborative design of a clustering compression engine in a chip and a modulation coding control unit, clustering compression aiming at data structure characteristics and modulation strategy matching in a dynamic channel state are realized; the problems of fixed compression and modulation modes and lack of cooperation in the prior art are solved.

The invention relates to the technical field of CAD drawing optimization, and discloses a CAD drawing optimization method based on parameterized design. The method comprises the steps that a design constraint condition set is received, and geometric constraint parameters and engineering constraint parameters in the design constraint condition set are extracted; generating an initial geometric topological structure according to the geometric constraint parameters, and performing parameterized mapping on the structure in combination with the engineering constraint parameters to form a parameterized geometric model; identifying key feature nodes in the model, dynamically associating the key feature nodes with engineering constraint parameters, and constructing a parameter-driven relation network; and iteratively optimizing the parameterized geometric model through the network to generate an optimized geometric model meeting a design constraint condition set. According to the method, close association of geometry and engineering constraints is achieved, repeated design modification is reduced, efficiency and accuracy are improved, the design standardization degree can be improved, collaborative design is facilitated, and the method is suitable for CAD drawing design of complex products.

The invention discloses an aero-engine system demand servitization collaborative management method, which comprises the steps of constructing a semantic mapping rule of an aero-engine demand document based on an OSLC specification, and converting an unstructured document into a standardized data model; standardized access of elements in the demand document is achieved through resource identification and a servitization interface, and a Web-based demand document interoperation mechanism is constructed; multidisciplinary collaborative design is carried out based on a demand document interoperation mechanism, and a demand document is updated in real time to form a complete design demand document; constructing an intelligent change analysis mechanism based on project tracking to realize multi-version comparison and change propagation path visualization of the design requirement document; constructing a fine-grained version evolution and conflict management mechanism based on the demand entry influence network, and executing demand version merging and conflict automatic detection in a parallel development scene; according to the method, aero-engine system demand document entry level collaborative editing and standardized service interface can be realized, and the development efficiency is remarkably improved.

The invention relates to the technical field of building information models, in particular to a BIM (Building Information Modeling)-based intelligent model selection and real-time collaborative design method for supports and hangers. Comprising the following steps that S1, building, structure and electromechanical multi-professional BIM models and external data are integrated, and a foundation database of support and hanger model selection is constructed; and S2, based on a rule engine and a machine learning algorithm, automatically matching an optimal support hanger type and generating a parameterized model. Through multi-physics field coupling simulation, stress, displacement and other core indexes calculation, collision check and mechanical checking calculation are combined, layout and component specifications are dynamically adjusted, the reliability of the support hanger under the extreme working condition is ensured, the later reworking risk is reduced, and the anti-seismic indexes such as base shear force and interlayer displacement angle and the bearing indexes such as axial stress and bending stress are adopted, so that the reliability of the support hanger is improved. The performance of the support hanger is comprehensively evaluated, the failure problem caused by a single factor is avoided, and the safety and stability of engineering are greatly improved.

The invention discloses ardealite-based concrete and a preparation method thereof, and belongs to the technical field of building materials. The ardealite-based concrete is prepared from the following raw materials in parts by weight: 40 to 60 parts of ardealite powder, 10 to 15 parts of cement, 8 to 10.5 parts of slag powder, 5 to 7 parts of fly ash, 4 to 6 parts of desulfurized fly ash, 5 to 10 parts of natural sand, 10 to 15 parts of ardealite-based artificial aggregate, 3 to 5 parts of eggshell powder, 1.5 to 3 parts of nano silicon dioxide, 0.5 to 1.5 parts of a water reducing agent, 0.05 to 0.2 part of a retarder, 0.1 to 0.5 part of an exciting agent and 0.3 to 1 part of an antifreeze agent. According to the invention, through process innovation of multi-component collaborative design and gradient aggregate doping, the technical bottlenecks of low strength, poor durability, high environmental protection risk and the like of traditional ardealite concrete are overcome while large-scale resource utilization of ardealite is realized, and a new thought is provided for high-valued utilization of industrial solid wastes.

The invention provides an intelligent costume design method fusing AI and CAD technologies, and belongs to the technical field of intelligent design, and the method comprises the steps: building a parameterized CAD engine based on NURBS curve modeling and a topological correlation algorithm; performing intelligent classification and component segmentation on the input sketch, and obtaining a matched parameterized model based on a parameterized CAD engine to generate a reusable component; matching and recommending a plurality of reusable components based on an AI technology to obtain a similar version, analyzing the sketch and the similar version, and recommending an optimal component combination scheme; a distributed collaborative design mechanism is constructed, when the same part of the combined sample clothes of the optimal part combination scheme modified by multiple persons is received, conflict points are automatically prompted through operation log comparison, version combination suggestions are provided, and a 3D sample clothes effect picture is output for a user to judge. The problems that traditional design is low in efficiency, prone to making mistakes and difficult to cooperate are solved, and technical support is provided for intelligent design innovation.

The invention provides an aluminum alloy frame multistage collaborative topological optimization method based on Internet of Vehicles big data, which is applied to the technical field of new energy vehicle lightweight and comprises the following steps: fusing subjective and objective weights to generate a comprehensive weight; a compromise planning method is adopted to construct a multiplex topological optimization objective function; performing first-stage frame overall topological optimization through an SIMP variable density method to determine the number of cross beams and spatial layout; and constructing a rigid-flexible coupling virtual prototype to extract an equivalent static load at the joint of the longitudinal / cross beam, and carrying out second-stage section topological optimization in combination with extrusion process constraint to obtain an optimal section configuration of the longitudinal / cross beam. Through a multi-stage optimization framework of data driving weight distribution, overall layout optimization and local section collaborative design, the lightweight rate of the frame is improved by 15%-22%, the bending rigidity and the torsional rigidity are improved by 12%-18% and 10%-15% respectively, and meanwhile the technological feasibility of aluminum alloy extrusion forming is guaranteed.

The invention relates to the technical field of green intelligent digital construction, and discloses a green building digital collaborative design and optimization method based on BIM and cloud computing, comprising the following steps: S1, project initialization and data collection, S2, preliminary design and simulation based on BIM, S3, sensor equipment layout and optimization, S4, fault detection and early warning processing, and S5, cloud computing. According to the method, a green intelligent digital construction key process technology is adopted, energy conservation and emission reduction benefits and environment quality improvement benefits generated in the whole life period of a green building technology can be improved, and digital intelligent technologies such as BIM, 5G, IoT, BMS and EMS are adopted, so that the construction period is shortened, and the construction efficiency is improved. Visualization and perceptibility of energy conservation and emission reduction benefits and environment quality improvement benefits generated in the whole life period of the green building technology can be achieved, and economic benefits are generated from the energy conservation and emission reduction benefits generated by the green building technology in a carbon trading mode.

The invention belongs to the technical field of computer aided design, and provides a spinning equipment design assisting method and system based on model collaboration. The method comprises the steps that a collaborative design system is constructed, a large language model receives design requirements of a user, performs task decomposition and calls corresponding professional agent models to execute design subtasks, and the professional agent models feed simulation calculation results back to a closed-loop feedback engine; the closed-loop feedback engine analyzes feedback results of the professional agent models and generates attention prompt signals pointing to potential design conflicts or optimization bottlenecks on the basis of interdisciplinary parameter coupling relations; and the large language model performs multidisciplinary coupling analysis by using the attention prompt signal, dynamically adjusts task planning and design parameters by focusing on key parameters and key disciplines pointed by the attention prompt signal, and drives related professional agent models to perform directional iterative optimization. According to the method, the blind iteration problem can be effectively avoided, and the convergence speed of the design and the scheme quality are improved in a high-quality mode.

The invention relates to the technical field of big data intelligent decision making, and provides a household appliance commodity dynamic pricing system and method based on multi-source data fusion, and the system comprises a data collection server, a feature extraction engine, a model training cluster, and a strategy execution terminal. The feature extraction engine comprises a time sequence feature constructor used for generating sliding window statistics; the semantic analysis unit is used for analyzing a commodity detail page text description to generate a brand premium coefficient; and the image recognition module is used for predicting the willingness to pay by the user through the commodity main image quality score. Through collaborative design of the feature extraction engine and the model training cluster, the dynamic response capability and the data application depth which are deficient in a traditional pricing mechanism are realized, traditional household appliance merchants are assisted to adapt to market changes, the customer satisfaction and the market share are improved, and the survival and development of the merchants are guaranteed.

The invention relates to a visual component management method and system based on support of multi-user collaboration, and belongs to the technical field of computer software collaborative design. Wherein multi-party editing requests are received and verified through a cooperative access mechanism, structured component data are constructed by using a component modeling model, concurrent control and a difference buffer are adopted to coordinate parallel modification, write conflicts are identified and processed based on a conflict detection algorithm, and traceable management of component versions is realized through a snapshot generation model. According to the method, efficient, consistent and conflict-controllable unified management of the visual components in a multi-person online cooperation scene is realized, and the cooperation efficiency of component development and the system reliability are effectively improved.

The invention discloses an expressway toll collection robot system, relates to the technical field of expressway toll collection, and constructs a full-process automatic expressway toll collection robot system through collaborative design of a toll collection control module and a special situation scheduling module. The charging control module integrates various types of hardware, realizes automatic identification of vehicle information, fee calculation and passage control, replaces manual work to complete a standardized charging process, and remarkably reduces manual operation errors and time consumption. The special situation scheduling module is used for quickly positioning the type of a special situation through object association relationship analysis for an abnormal state in a charging process, and scheduling staff to intervene; different from a traditional post response mode, the module predicts the severity level of a special situation based on flow characteristics, equipment states and environment characteristics by training a special situation prediction model and configures the number of workers in advance, so that lane congestion can be effectively avoided, and the overall traffic efficiency is improved.

The invention relates to the technical field of mobile pump collaborative operation, and particularly discloses a tandem type multipurpose crawler mobile pump collaborative operation system which is characterized in that the system acquires pressure data through a pressure drop capturing module and analyzes a pressure-bearing compensation value, and whether a low-pressure trap appears or not is judged; a margin analysis module is combined with the compensation efficiency coefficient to dynamically calibrate the collaborative cavitation margin; the cavitation trend is recognized based on the cavitation proximity by means of a controllable analysis module, and when cavitation forms positive feedback, hierarchical collaborative optimization is conducted on the moving pump; and finally, a coherence model of pressure pulsation and stress waves is established based on cavitation collapse characteristics through a conduction verification module, and a low-pressure trap improvement degree model is established to evaluate the improvement degree. According to the method, the cavitation fault of the series pump set can be prevented, pressure loss under complex working conditions can be dynamically adapted, and collaborative design and operation of the series pump set are optimized.

Disclosed is a collaborative design system and method for a thermophysical property gradient distribution and a braided structure of a CMC and a storage medium. The system comprises at least one storage medium and at least one processor. The at least one processor is configured to: generate a temperature field parameter of a surface of a CMC turbine blade under a non-uniform inflow condition based on a simulation analysis platform, and extract a convective heat transfer coefficient; partition the CMC turbine blade and import an extracted fluid-solid heat transfer boundary condition into an optimization platform; perform multi-objective optimization on the thermophysical property gradient distribution of the CMC turbine blade under the non-uniform inflow condition based on an optimization simulation tool; and generate C nanotube contents of different regions of the CMC turbine blade based on a correspondence function and values of material thermal conductivities of the different regions of the CMC turbine blade to realize the collaborative design of the thermophysical property gradient distribution and the braided structure of the CMC.

The invention provides a metro section parameterized linear digital model construction method based on Revit and Dynamo, and the method comprises the steps: building a three-dimensional space control reference through analyzing track line design data, and constructing a metro section model in a manner of combining parameterized modeling with an intelligent algorithm; the contact network and pipeline models are ensured to meet the standard requirements through real-time verification of the conductor height change rate and the turning radius-pipe diameter matching matrix; space coordinate unification and interface matching precision control are achieved through a multi-professional model cooperation system, and a parameter linkage updating mechanism is established to respond to design changes; and finally, outputting an LOD400 precision BIM model and associating construction data for dynamic correction, and supporting RVT / IFC format conversion and engineering quantity automatic statistics. The method is mainly used for efficient collaborative design and construction management and control of metro sections, the modeling precision and the multi-specialty coordination efficiency can be improved, and the design error rate is reduced.

The invention discloses a multilayer co-extrusion heat-shrinkable film and a preparation method thereof, the film comprises an outer wear-resistant layer, a middle support layer and an inner functional layer, the thickness ratio of each layer is 1: 3: 1-1: 5: 1, the total thickness is 50-150 [mu] m, and the raw materials are prepared according to respective formulas. The preparation method comprises the steps of raw material preparation, melt mixing, die head extrusion, two-way stretching, water-cooling shaping, electronic crosslinking, aging treatment, heating softening and cold and hot shaping. The carbon nanotubes (CNT) and the h-BN nanosheets synergistically hinder crack propagation in the middle layer, so that the crack propagation resistance of the film is remarkably improved, the tensile strength, the thermal shrinkage rate and other properties are also optimized, compared with a traditional film, the comprehensive properties of wear resistance, high strength and high thermal shrinkage rate are achieved through interface collaborative design, meanwhile, the production cost is reduced by 20-30%, and the application prospect is wide. The method is suitable for food packaging, electronic device protection and other fields.

The invention discloses a post-pumping air tank robustness collaborative design method considering hydraulic parameter time-varying characteristics, which comprises the following steps: defining a hydraulic parameter uncertainty fluctuation interval of a water delivery system in a full life cycle, and setting a body structure decision variable range of a post-pumping air tank; performing combined sampling in the water conservancy parameter uncertainty fluctuation interval and the body structure decision variable range by using a test design method to generate an initial sample set; performing steady-state and transient-state coupling simulation on the initial sample set, constructing a constant-flow operation condition of the water delivery system by using a hydraulic equation, updating a water pump working point and pipeline pressure distribution, performing transient simulation by using a characteristic line method to obtain a hydraulic response index, and training to obtain a water hammer response agent model; constructing a robustness optimization objective function based on failure probability constraint; and performing global optimization on the target function by using an intelligent optimization algorithm, calling the water hammer response agent model to perform random simulation, evaluating a failure probability, and outputting a target design scheme.

The invention relates to the technical field of component collision detection, in particular to a building component-level collision detection method and system fusing multi-model semantics. The method comprises the steps of obtaining building component model data; component attribute extraction and semantic recognition are carried out according to the obtained building component model data; carrying out space conflict detection on the extracted information based on a bounding box and grid Boolean operation; judging conflict types and levels by utilizing a component attribute semantic library; and outputting a judgment result. By introducing a component attribute semantic database and combining semantic discrimination rules to match conflict types, 'acceptable conflicts' and'substantive conflicts' can be accurately distinguished, non-key conflict information can be automatically filtered, the false alarm rate is greatly reduced, the screening workload of designers is reduced, and collaborative design verification focuses on the core problem affecting construction safety and function implementation.

The invention provides a progress and resource management linkage application system based on BIM, relates to the technical field of building management, and is suitable for full life cycle management of design, construction and operation of a building. The system comprises a demand modeling module, an intelligent equipment optimization module, a collision detection and progress optimization module, a multi-professional data integration and real-time simulation module, a building full-life-cycle intelligent management module and the like. By optimizing arrangement and streamline design of equipment, the space utilization rate and the medical service efficiency are improved; in the construction stage, a collision detection function and a digital twinning technology of the BIM are utilized to realize multi-specialty collaborative design and progress optimization; in the operation stage, the operation state of the equipment is monitored in real time in combination with an Internet of Things sensor, a preventive maintenance plan is generated, and energy consumption management is optimized through energy consumption data analysis. The system improves the design precision and construction efficiency of the building and the intelligent level of equipment management and operation maintenance, and has a wide application prospect.

The invention discloses a compostable and reslurrable mineral-based dual-scale barrier coating as well as preparation and application thereof, and belongs to the technical field of water-based and reslurrable barrier materials. In order to overcome the defects of high coating weight, large color difference or difficulty in recovery in the prior art, a compact barrier is constructed through double-scale collaborative design of interlayer intercalation of layered double hydroxides and interparticle metal micro-networks. The method has the prominent advantage that high-efficiency water-oxygen barrier better than that of a conventional scheme can be realized only by using an extremely low coating amount. Meanwhile, the coating strictly controls color difference to maintain high whiteness of the paper, has pH responsiveness, can be quickly unlapped and dispersed under an acidic condition, and is easy to re-pulp. The coating does not contain PFAS and PVDC, and unification of high barrier, high whiteness and recoverability is achieved.

The embodiment of the invention discloses a standard text generation method and device based on a rule engine and a large model, electronic equipment and a computer readable storage medium, and provides a complete technical path from knowledge driving to structure output through the standard text generation method based on the rule engine and the large model. The defects in the aspects of grass drawing efficiency, intelligence and knowledge reuse in the prior art are overcome. According to the system, through collaborative design of the knowledge base, the rule engine and the large model, full-process intelligent drafting and detection of standard documents from classification to output are achieved, content logical reasoning and automatic term generation are achieved by building the standardized knowledge base and combining the rule engine, dependence on artificial experience can be effectively reduced, and the system is high in practicability and high in practicability. According to the method, the draft cycle is remarkably shortened, the consistency and normalization of standard texts are improved, the standard writing efficiency is improved, and the method has remarkable practical value and popularization prospects.

The invention discloses an engineering collaborative design method and system based on a BIM technology, and relates to the technical field of construction collaborative management, and the method comprises the steps: extracting associated geological parameters from an initial BIM model, and generating a parameter adjustment instruction set through a multi-objective optimization algorithm by taking structure safety and construction cost as constraint conditions in combination with a high-risk component; performing block chain evidence storage on the parameter adjustment instruction set to generate an encryption instruction block; performing hierarchical compression on the encrypted instruction block by adopting a lightweight algorithm, and outputting a lightweight collaborative instruction set; and the lightweight collaborative instruction set is distributed to the AR terminal through the 5G-UWB network, and the geological risk area and the component change scheme are displayed in the construction scene in an overlapping manner. The timeliness and scientificity of risk early warning are remarkably improved by solving the surrounding rock-support structure multi-physics coupling equation in real time on the basis of the initial BIM model and outputting the risk state tensor.

The invention provides a transformer substation civil engineering digital design system based on a domestic BIM platform, and the system comprises a building design module which is used for constructing a building professional model through employing a building component library; the general drawing design module is used for generating a general drawing professional model based on a parametric modeling technology; the water supply and drainage system digital design module is used for generating a water supply and drainage pipeline design scheme according to the water supply and drainage professional component library and determining a water supply and drainage professional model; the heating and ventilation system digital design module is used for determining the fan equipment model and the air pipe diameter according to the professional building model and determining a professional heating and ventilation model; and the multi-specialty cooperation module is used for carrying out online synchronous modification and real-time updating processing on the building specialty model, the general drawing specialty model, the water supply and drainage specialty model and the heating and ventilation specialty model. According to the method, building, general drawing, water supply and drainage and heating and ventilation multi-specialty collaborative design is achieved based on domestic BIM platform construction and through the parameterized modeling technology, and the design efficiency and the achievement standardization are improved.

In some embodiments, a computer-implemented method for role-based and attribution-tracking collaborative design based on manufacturing constraints is disclosed. A method comprises: receiving product description data for an interactive design; wherein the product description data for the interactive design comprises data for generating a graphical visual representation of a physical product that is capable of custom manufacture with a plurality of variable product attributes; parsing the product description data to identify a plurality of global-key-values pairs journaled within the product description data and associated with contributors; based on, at least in part, the plurality of global-key-values pairs, constructing an ownership-attribution tree; based on the ownership-attribution tree, generating manufacturing instructions for customizing the physical product and according to the plurality of variable product attributes; and transmitting the manufacturing instructions to a product customization server to cause a manufacturing entity to proceed with generating a customized product based on the manufacturing instructions.

The invention relates to the technical field of flexible steel wire ropes, and discloses a durability-enhanced flexible steel wire rope and a processing technology thereof.The durability-enhanced flexible steel wire rope comprises, by mass, 98-105 parts of an alloy steel wire core; 5 to 15 parts of a ceramic nano composite outer coating; 2 to 10 parts of a self-repairing polymer middle coating layer; 1-5 parts of a high-adhesion polymer inner coating; 1-8 parts of a polymer composite lubricant; 0.5 to 3 parts of nanometer lubricating particles; according to the process, through collaborative design of multiple functional coatings and a lubricating system and combination of a heat treatment process, the corrosion resistance and the wear resistance of the steel wire rope are remarkably improved, and the service life is remarkably prolonged. Through the collaborative design of the high alloy steel core, the ceramic nano coating, the self-repairing middle layer, the three-layer coating structure and the polymer nano lubricating system, the corrosion resistance, the fatigue resistance, the wear resistance and the self-repairing capacity of the steel wire rope are improved, the service life is prolonged, and the maintenance cost is reduced.