41 results about "Virtual maintenance" patented technology

The invention discloses an equipment maintenance guidance method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring environment image data containing target equipment through a camera and acquiring attitude data of a target object through a sensor; determining the spatial position and direction of the target object based on the environment image data and the attitude data; determining an equipment virtual maintenance scheme of the target equipment based on the environment image data; and mapping the equipment virtual maintenance scheme to a virtual coordinate system of the wearable equipment based on the spatial position and direction so as to visually display the equipment virtual maintenance scheme, and guiding the target object to perform maintenance operation on the target equipment based on a visualization effect. According to the method, the equipment virtual maintenance scheme is accurately mapped into the virtual coordinate system, visual display of the equipment virtual maintenance scheme is realized, the target object is guided to carry out maintenance operation on the target equipment, the maintenance work is more efficient, accurate and convenient, and the maintenance efficiency is improved.

The invention relates to the technical field of new energy electric power construction and operation and maintenance, in particular to a new energy equipment virtual maintenance system and method supporting fault drilling. The system comprises five core modules: an asset and twinning modeling module constructs an electrical-mechanical-thermal multi-physics field coupling digital twinning model of a wind generating set, a photovoltaic inverter and an energy storage battery cluster, and drives a fault drilling engine; the fault drilling engine triggers a fault scene based on preset event-condition-action logic and a job ticket operation state, and activates a fault evolution chain through violation operation; the job ticket and process arrangement module simulates the whole maintenance process and checks security constraints in real time; the safety interlocking and protection simulation module verifies the operation in real time according to the relay protection constant value, triggers a protection action during violation and feeds back the protection action to the fault engine; and the virtual-real fusion interaction module synchronizes a virtual instruction to an engine and an external device through a communication protocol, so that the consistency of virtual-real operation and protection action is ensured, and co-simulation and security verification of the whole system are realized.

The invention relates to the technical field of intelligent assessment management, and discloses an assessment method for a virtual maintenance training process, and the method comprises the following steps: collecting real-time operation data in the maintenance training process through a virtual reality device, and the real-time operation data comprises a gesture track, a tool use sequence and an environment interaction log; performing noise filtering and format unification processing on the real-time operation data to generate a standardized operation data stream; key operation nodes in the standardized operation data flow are extracted based on a maintenance knowledge graph, and operation feature vectors are generated; according to the invention, systematic fusion and standardization processing are carried out on multi-source heterogeneous real-time operation data, and an objective evaluation benchmark is constructed based on a maintenance knowledge graph, so that comprehensive quantification and description of an operation process can be realized; the problems that the evaluation dimension is single and the real skill level is difficult to comprehensively reflect due to the dependence on subjective judgment and a single index are solved, and the objectivity and comprehensiveness of assessment are improved.

The invention discloses a predictive maintenance method for an implicit state of power equipment, and belongs to the technical field of intelligent operation and maintenance of the power equipment. According to the method, multi-mode information such as SCADA data, acoustic vibration data, infrared thermal image data and partial discharge data is collected, space-time alignment and attention mechanism fusion are carried out, and a hidden state code representing the internal health state of equipment is extracted; a dynamic state deduction model combining physical constraint and data driving is constructed, and prediction of the future state evolution trajectory of the equipment is achieved; and performing a virtual maintenance experiment in the digital twin based on a prediction result, and generating an optimal maintenance strategy through multi-objective optimization. According to the method, the problems that the hidden state of the equipment cannot be sensed and the prediction capability is lacked in the prior art are solved, the conversion from passive maintenance to predictive maintenance is realized, and the accuracy and foresight of operation and maintenance of the power equipment are improved.

The invention belongs to the technical field of aircraft virtual maintenance training, and particularly relates to a credibility evaluation method for an aircraft virtual maintenance training system, which comprises the following steps of: a, constructing a multi-dimensional evaluation index system which comprises five evaluation dimensions, the three dimensions are a visual simulation precision dimension, a physical interaction authenticity dimension, an environment dynamic consistency dimension, a personnel physiological and psychological reaction suitability dimension and a maintenance tool physical attribute simulation precision dimension; b, determining the weight of a comprehensive factor of each evaluation dimension by adopting an analytic hierarchy process; c, performing quantitative scoring on the comprehensive factor of each evaluation dimension by using a fuzzy comprehensive evaluation method to obtain a quantitative scoring result of the comprehensive factor; and d, calculating a credibility comprehensive evaluation value C of the aircraft virtual maintenance training system according to the quantitative scoring result of each comprehensive factor and the corresponding weight thereof, and delimiting a credibility grade according to the comprehensive evaluation value C.

An armored vehicle power system spatial layout optimization method considering the influence of disassembly and assembly operation relates to the technical field of armored vehicle power systems, and comprises the following steps: step S1, constructing human body models of a virtual maintenance tool, a maintenance object and virtual maintenance personnel in a computer through three-dimensional modeling software; s2, setting layout optimization parameters, and setting a system layout optimization target; s3, constructing a system layout optimization model; and S4, setting a solution algorithm of the system layout optimization model constructed in the step S3. According to the invention, through collaborative optimization of the space efficiency and the maintenance efficiency, the space layout of the armored vehicle power system is optimized.

The application provides a circuit simulation method in a rail transit signal device virtual maintenance training system, and the method comprises the following steps: when a fault exists in the rail transit signal device in the virtual maintenance training system, a device operation instruction input by a user into an upper computer is responded to, an animation queue associated with the device operation instruction is acquired, the animation queue comprises a playing time, at least one target animation in the animation queue is played based on the playing time, a target relay state in the rail transit signal device is determined based on animation information of the at least one target animation, when the target relay state changes, other relay states associated with the target relay are determined, and a display interface of the upper computer is updated based on the target relay state and the other relay states, wherein the display interface comprises a virtual ammeter and a virtual multimeter. The training effect of circuit fault maintenance can be improved by the application.

The invention discloses a maintenance step simulation method based on model fusion, and relates to the technical field of virtual maintenance. According to the method, a high-fidelity multi-physics field simulation environment is constructed by deeply fusing a three-dimensional geometric model with physical attributes such as density and friction coefficient and assembly logic; an obstacle avoidance path is planned by using a fast expansion random tree algorithm, and real-time calculation of the deformation of the flexible pipeline and the statics equilibrium state of parts is realized in combination with a mass spring model and a polyhedral friction cone theory. On the basis, a multi-dimensional evaluation system containing space gaps, view shielding and operation torque weights is constructed, feasibility confidence indexes of overhaul steps are quantitatively evaluated, and a virtual guide potential field and directed acyclic graph logic verification are assisted, so that an overhaul guide file conforming to physical rules and process specifications is finally and automatically generated. The problems that traditional simulation lacks mechanical verification and flexible body simulation is distorted are effectively solved, and the reliability of maintenance process design is remarkably improved.

The application discloses a kind of integrated modeling methods comprising mechanical simulation and virtual maintenance attributes, comprising the following processes: respectively establishing geometric feature model, interactive feature model and state feature model, form integrated equipment model comprising mechanical simulation and virtual maintenance attributes;Integrated equipment model is divided into state execution layer, motion logic layer, multi-dimensional presentation layer;State execution layer is used to execute control command, external control command data is first transmitted to state execution layer, with the output of state execution layer as the input of motion logic layer, the result is obtained by processing motion logic layer, then the result is transmitted to multi-dimensional presentation layer, simulation result is obtained by processing by multi-dimensional presentation layer, and is presented by multi-dimensional way.The application can not only realize multi-dimensional presentation equipment / device geometric characteristics, but also can express motion logic and execution state in equipment / device simulation process completely, and can be realistically simulated mechanically and virtually maintained.

The invention belongs to the technical field of nuclear power plant instrument control maintenance, and particularly relates to an instrument control equipment virtual maintenance method based on a DCS parallel system. Selecting DCS equipment maintenance regulations, performing equipment virtual maintenance in the control cabinet three-dimensional model of the DCS parallel system, starting the DCS parallel system, resetting initial conditions under a full power condition, and operating; according to the selected DCS equipment maintenance regulation, DCS equipment related to the regulation is carried out, and virtual tool preparation is carried out in a DCS parallel system; performing virtual maintenance on the virtual three-dimensional cabinet model of the DCS parallel system according to maintenance work implementation steps in the selected DCS equipment maintenance procedure, and verifying operation steps of the procedure; according to maintenance procedure risks and errors identified in the virtual maintenance process, improvement measures are put forward, and then verification is carried out in a DCS parallel system. Virtual drilling of the DCS equipment maintenance process is achieved, maintenance personnel are familiar with the maintenance process, the DCS maintenance proficiency and emergency handling capacity of the nuclear power plant are improved, and the DCS maintenance efficiency and effect are improved.

The invention discloses an equipment maintenance cost management and control system and method, and relates to the technical field of industrial equipment management. The system comprises an Internet of Things data sensing layer, a maintenance digital twinborn construction module, a multi-dimensional dynamic preventive maintenance cost prediction engine, a cost control and execution layer based on an intelligent contract and a self-adaptive cost allocation and optimization feedback loop. The method comprises the following steps: collecting data in real time and constructing an equipment maintenance digital twinborn body; the prediction engine generates a virtual maintenance unit containing predicted cost based on the twinborn body data; when the risk exceeds a threshold value, a block chain intelligent contract is automatically triggered, and automatic and traceable management and control are carried out on budget, process and payment; after maintenance is completed, cost is automatically shared, and data is fed back to optimize the model. According to the method, the change of the maintenance cost from passive response to active prediction and from post-event recording to whole-process automatic management and control is realized, transparency is ensured through an intelligent contract, a self-optimization closed loop is formed, and the refinement level and cost effectiveness of cost management and control are improved.

The invention discloses a virtual simulation and evaluation method for outboard maintenance of large equipment of a manned spacecraft. The method comprises the following steps: S1, establishing a virtual simulation model for outboard maintenance of the large equipment of the manned spacecraft; s2, setting constraint conditions of astronauts; s3, performing virtual maintenance process simulation and multi-person view angle and interactive setting; s4, transfer and installation path planning of the large-scale equipment; and S5, performing man-machine ergonomics analysis and judgment. According to the manned spacecraft large-scale equipment outboard maintenance virtual simulation and evaluation method provided by the invention, an active stereo display technology, a virtual training environment building technology and a virtual operation process model building technology are taken as main research objects; a virtual reality man-machine interaction mode which integrates an operation handle, a stereoscopic display system, a motion tracker and other devices and has immersion performance is constructed, analysis and evaluation of the whole process and multiple factors can be covered, visibility, reachability, operability, maintenance time and the like of the maintenance process outside the cabin are verified, and a reference basis is provided for reasonability of the maintenance process.

This invention discloses a mechanical fault auxiliary maintenance decision-making method and system based on A-Star, belonging to the field of virtual maintenance. It includes: receiving a faulty component and the designation of the first component to be disassembled; starting from the first component and ending with the faulty component, calculating the comprehensive cost under each maintenance strategy based on the different attributes of the components; and using the A-Star algorithm to traverse the adjacent 3D models of the current component model to obtain multiple candidate maintenance solutions. The target equipment includes multiple components, and each component in the 3D model includes physical attributes and at least one disassembly / assembly attribute. The disassembly / assembly attribute includes: disassembly / assembly cost, disassembly / assembly time, number of tools required for disassembly / assembly, and number of personnel required for disassembly / assembly. This invention calculates costs based on the different attributes of the components and uses the A-Star algorithm to traverse the adjacent 3D models of the current component model, finding the next component with the minimum cost at each step, thereby improving maintenance efficiency and reducing maintenance failure rate.

The invention relates to a vehicle management system, a vehicle control method and an electric vehicle. A vehicle management system applied to a vehicle is provided with one or more processors and virtual maintenance. The one or more processors generate a simulated driving environment that simulates a driving environment of the virtual moving body. The virtual maintenance is a maintenance that is virtually performed on the virtual moving body. The one or more processors execute a first environment change process for changing the simulated driving environment on the basis of a maintenance index indicating the degree of necessity of the virtual maintenance, and execute a second environment change process for changing the simulated driving environment in accordance with at least the virtual maintenance.

A VR-based vehicle maintenance assistance system, comprising a vehicle data acquisition module, a vehicle fault database, a virtual fault repair database, a data processing module, a vehicle fault diagnosis module, and a virtual reality demonstration module. The beneficial effects of the present invention are as follows: The BP neural network is applied to vehicle fault diagnosis, and the BP neural network is trained using the fault types of the vehicle and the corresponding vehicle operation data, thereby establishing a mapping between the vehicle operation data and the fault types, so that the fault types of the vehicle can be diagnosed in real time according to the obtained vehicle operation data; The virtual reality technology is applied to vehicle maintenance. By reproducing the vehicle maintenance process through virtual reality technology, maintenance personnel can more intuitively understand the maintenance process, laying a foundation for vehicle maintenance.

The invention relates to the technical field of production line scheduling, and provides a digital twinning-based production line scheduling control method and system, and the method comprises the steps: constructing a production line digital twinning model which comprises a virtual equipment structure, a task queue and operation time accumulation, and performance attenuation coefficient type health state parameters; acquiring equipment operation data in real time to update model health parameters, and pre-judging equipment fault time through a trend extrapolation fitting parameter change curve; and inserting a virtual maintenance event into the model to carry out scheduling simulation, calculating task completion time, and redistributing conflicting tasks to adaptive equipment by a load balancing strategy in combination with equipment load and task emergency degree when a task conflict occurs, thereby realizing dynamic perception of the equipment health state and fault pre-judgment, reserving a reasonable maintenance space for scheduling formulation, and realizing real-time scheduling. The scheduling scheme is prevented from being disorganized due to sudden faults, the problem of load unbalance caused by temporary adjustment is solved, and the overall operation stability and scheduling efficiency of a production line are improved.

The utility model discloses a virtual reality-based CBTC (Communication Based Train Control) vehicle-mounted equipment intelligent maintenance cockpit, and belongs to the technical field of rail transit operation and maintenance simulation training. The device comprises a sealable simulation cockpit; the driving console is installed in the simulation cockpit. A key control component is arranged on the driving console; the 3D display screen is fixedly connected to one side, close to the driving console, in the simulation cockpit; the control host is arranged below the driving console; the seat base is used for adjusting the height and the front and back of the seat; the VR head-mounted display is arranged above the seat; the integrated earphone is integrally connected with the VR head-mounted display; the data glove hanger is connected with the inner wall of the simulation cockpit; the data glove is hung on the data glove hanger, and a force feedback device is integrated on the data glove. According to the utility model, real hardware and a virtual maintenance scene are integrated, immersive maintenance training experience is provided, and the system has the advantages of high expansibility, low maintenance cost and good adaptability.

The invention provides a three-dimensional plan lightweight editing method based on a Three-js component, and relates to the technical field of virtual maintenance. On the basis of component integration and component motion editability of a three-dimensional product model, a component motion coordinate system reconstruction mechanism, a unitized plan decomposition and expression mechanism, a formalized component motion information configuration mechanism and a Three-js component lightweight model dynamic rendering mechanism are organically combined, so that the component motion coordinate system can be reconstructed, and the component motion editability of the three-dimensional product model is improved. A corresponding three-dimensional plan editing mechanism can realize decoupling binding between a maintenance plan expression lightweight editing operation and a three-dimensional model lightweight dynamic rendering operation, and plan designers can be ensured to randomly switch an observation view angle of a three-dimensional plan model in a three-dimensional plan editing process so as to improve subsequent product maintenance guidance flexibility. And convenient editing (or additional recording) operation aiming at the three-dimensional plan can be realized, so that the convenient plan dynamic expansion requirement for various fault modes can be met.

The invention provides a diesel engine maintainability virtual verification method and system based on a complex model. The method comprises the steps of maintainability verification demand analysis, verification scheme making, maintenance virtual prototype modeling, virtual verification execution and analysis and maintainability comprehensive evaluation. Through subsystem hierarchical division and disassembly sequence analysis, a check task is clear, a model and environment construction specification is formulated, a homologous multi-granularity lightweight model is adopted to construct a prototype containing virtual maintenance behaviors and disassembly sequence simulation, and dynamic analysis of spacing, collision, man-machine work efficiency and process is carried out in parallel. And after comprehensive evaluation, identifying design weak points and proposing improvement suggestions. According to the method, the design early-stage maintainability virtual verification is realized, the verification systematicness, accuracy and efficiency are improved, the cost is reduced, and the period is shortened.

The application claims a kind of virtual maintenance simulation method and system for new equipment maintenance optimization, the method and system are designed to virtual maintenance simulation by analyzing equipment actual maintenance task and process, the format conversion of equipment digital prototype model is carried out, and loaded into virtual maintenance scene, select equipment fault type and inject it into model, display maintenance details to virtual maintenance environment for prompting maintenance personnel, set interactive function and disassembly sequence for model parts, and obtain data in maintenance process, complete equipment maintenance process optimization.The application is based on a kind of virtual maintenance simulation method and system for new equipment maintenance optimization, overcome the deficiency of traditional maintenance, improve the authenticity and maintenance efficiency of virtual maintenance simulation.

The invention provides a simulation training system for a secondary circuit of a power system and a working method of the simulation training system. The simulation training system comprises a simulation construction module, a circuit calculation engine, a virtual tool module and a defect simulation module. Wherein the simulation construction module is used for constructing a target secondary circuit simulation model comprising a terminal strip and multiple components. According to the circuit principle, a circuit equation is constructed and solved, node potentials are calculated, and component states are iteratively updated, so that the dynamic working process of a loop is simulated. Wherein the virtual tool module provides at least one virtual maintenance tool for a user to measure or operate the simulation model and perform loop state diagnosis or defect repair. Wherein the defect simulation module is used for presetting at least one type of circuit defect in the simulation model and creating a fault scene for training.

The invention provides a precise physical collision detection and virtual assembly method and system for a diesel engine, and the method comprises the steps: constructing a part virtual model containing tolerance information, and carrying out the efficient collision detection through employing an optimized bounding volume hierarchical structure (BVH) based on a volume decomposition and space compression algorithm. The core of the method is to introduce a tolerance decision mechanism: in a precise detection stage, if two collision parties are an assembly pair, the penetration depth is calculated and compared with a tolerance range, and a collision response is triggered only when the two collision parties are out of tolerance. Meanwhile, a three-stage virtual assembly process integrating free control of physical simulation and geometric constraints, intelligent constraint addition and mechanical constraint navigation is innovatively provided. According to the method, the problems of low virtual assembly precision, poor real-time performance and lack of tolerance fusion capability in the prior art are effectively solved, and the operation reality sense, the assembly precision and the calculation efficiency of complex equipment such as a diesel engine in virtual maintenance simulation are remarkably improved.

The present application discloses a maintenance training system with an intelligent fault diagnosis function and its method. By collecting the event text descriptions distributed by the maintenance training system to multiple users and the event data generated by these multiple users, and introducing data processing and semantic analysis algorithms at the backend to perform semantic analysis and correlation comparison of these data, concurrent conflicts are detected in this way. In this way, concurrent conflicts in collaborative virtual maintenance can be automatically detected, and a fault warning prompt can be issued in a timely manner, improving the quality and safety of maintenance training.

The invention relates to the technical field of dismounting path planning, in particular to a path planning method based on mixed information of global memory and local perception, which comprises the following steps: S1, establishing a virtual environment; s2, collecting topographic data of the virtual environment; s3, constructing a virtual maintenance personnel global planner for the static environment of the virtual environment; planning a global moving path of the virtual maintenance personnel in the navigation grid body through a cost evaluation function to obtain an optimal moving direction at the next moment; and S4, constructing a virtual maintenance personnel local planner for the dynamic object in the virtual environment, obtaining local path point information through ray detection, and updating the optimal movement direction of the virtual maintenance personnel at the next moment. According to the mixed information path planning method jointly constructed by the global planner and the local planner, the problems that real-time feedback cannot be achieved and the accuracy is insufficient in a dynamic scene are solved.

The invention aims to provide a gas turbine assembly training method based on virtual reality, and belongs to the field of gas turbines. Comprising the following steps: establishing a system typical part fault analysis database; establishing a three-dimensional model database of the gas turbine system; building a system virtual environment for the prefabricated three-dimensional simulation model; developing and generating a process verification function module, and performing accurate sequence control on the virtual maintenance and assembly process of the gas turbine; generating a three-dimensional model preform with a man-machine interaction function; outputting a system training model; designing and developing a training system; a man-machine interaction interface is designed and developed, and a gas turbine assembly training system based on virtual reality is obtained; and the system guides the trainees to complete assembly training and outputs a training result. For some narrow spaces, the real assembling environment is simulated, and the system calculates the operation space required by personnel, the spatial position of the system and the accuracy of the assembling position to automatically decide whether assembling can be completed or not.

The present invention relates to the field of data processing technology, and specifically discloses a virtual maintenance data processing system for optimizing maintenance scenarios, comprising an optical contact probe, a scanning measurement system, an image recognition and defect analysis module, an image-assisted measurement module, a part visual tracking module, an augmented reality assembly guidance module, a data fusion and state modeling module, and a human-computer interaction and task incentive module. The present invention integrates optical contact measurement, image recognition, point cloud modeling, and augmented reality guidance to achieve intelligent and high-precision execution of defect detection, dimension measurement, assembly correction, and state modeling during the disassembly and reassembly of a gearbox.

The invention discloses an aero-engine maintenance configuration optimization method based on virtual maintenance, and the method specifically comprises the steps: 1, describing the maintenance process of an aero-engine through employing a Petri network, and forming a network model; 2, describing time distribution of the ith maintenance event by adopting Hyper-Erlang distribution on the basis of the Petri net established in the step 1; step 3, constructing a neural network; 4, constructing a model of the influence of the skill level on the maintenance time and a model of the influence of the skill level on the maintenance cost; 5, establishing a cost function based on the time output by the neural network in the step 3 and the influence of the skill level in the step 4 on the maintenance time and cost; and step 6, optimizing the cost function, and obtaining the optimal maintenance personnel configuration with the purpose of minimizing the cost.

This invention relates to the field of production line scheduling technology, and provides a production line scheduling and control method and system based on digital twins. The method includes constructing a digital twin model of the production line containing virtual equipment structures, task queues, accumulated running time, and performance degradation coefficients (health status parameters); real-time acquisition of equipment operating data to update the model's health parameters; prediction of equipment failure time by fitting parameter change curves through trend extrapolation; insertion of virtual maintenance events into the model to conduct scheduling simulations and calculate task completion times; and, in the event of task conflicts, combining equipment load and task urgency, redistributing conflicting tasks to suitable equipment using a load balancing strategy. This achieves dynamic perception of equipment health status and early prediction of failures, reserving reasonable maintenance space for scheduling, avoiding disruption of scheduling plans by sudden failures, solving load imbalance problems caused by temporary adjustments, and improving the overall operational stability and scheduling efficiency of the production line.

The engine maintainability verification method based on the virtual technology comprises the following steps that a virtual maintenance verification model is constructed, and the virtual maintenance verification model comprises a virtual maintenance scene model, an engine prototype model, a maintenance tool model and a maintenance personnel human body model; carrying out maintenance process virtual simulation, generating maintenance process animations, maintenance personnel gestures and maintenance operation steps, synthesizing the maintenance process frame by frame, and recording theoretical time required by each maintenance step; and evaluating the maintainability design feasibility, counting the time required by each maintenance step to calculate the repairable maintenance time or the preventive maintenance time, and judging whether the repairable maintenance time or the preventive maintenance time meets the requirements or not. The invention further provides an engine maintainability verification platform based on the virtual technology. According to the method and the platform, modeling of an engine digital prototype and a maintenance scene can be realized, analog simulation is carried out on the maintenance process, and thus the maintenance feasibility and the maintenance rationality of an engine structure are preliminarily verified in the early development stage.