250 results about "Repair time" patented technology

The invention relates to an intelligent maintenance decision method and system based on a knowledge graph, and relates to the technical field of intelligent operation and maintenance and decision support and information, and the method comprises the steps: obtaining the operation state data and historical maintenance data of industrial equipment; constructing an industrial knowledge graph and generating an incidence relation model; an optimal maintenance path is obtained based on the analysis of the relationship between the fault type and the maintenance path; optimizing a maintenance task allocation scheme through the optimal maintenance path, the incidence relation model and the maintenance resource constraint condition; carrying out maintenance time window dynamic adjustment analysis to obtain an optimal maintenance strategy; and finally, performing multi-objective optimization iterative analysis to obtain a final maintenance decision. According to the scheme, various factors can be comprehensively considered, and the scientificity and the accuracy of maintenance decision making of the industrial equipment are improved.

The invention relates to the technical field of traffic infrastructure maintenance, and particularly discloses a method for evaluating the anti-collision toughness of a rusted steel bar bridge structure after ship collision, and the method comprises the following steps: firstly, building a rusted bridge pier finite element model based on a rusted steel bar concrete theoretical degradation model; simulating ship collision by adopting an equivalent static method, and determining dynamic damage factors of the ship; structural nonlinear static analysis and nonlinear dynamic analysis are conducted by considering sudden external force to obtain a bridge function loss function, and then a bridge function is calculated; constructing a response surface agent model to perform dynamic response prediction; determining a bridge structure damage state judgment criterion; the vulnerability of the rusted bridge is calculated through Monte Carlo simulation; and according to the bridge function loss function, combining the repair time and the recovery function to calculate a structure anti-collision toughness index. The method provided by the invention fills up the blank of ship collision resistance toughness evaluation of the coastal rusted bridge pier, provides a scientific basis for bridge safety evaluation and maintenance decision, and is of great significance for guaranteeing safe operation of the bridge.

The invention relates to the technical field of intelligent operation and maintenance, in particular to a fault insight and self-healing method and system based on chain control. According to the chain control-based fault insight and self-healing method, indexes, logs and tracking data of a micro-service environment are dynamically collected and fused; the method comprises the following steps: dynamically constructing and visualizing a service dependent topology, realizing dynamic topology construction and intelligent visual rendering, performing intelligent root cause analysis and predictive diagnosis based on multi-dimensional data, realizing self-adaptive early warning, generating an intelligent decision, performing closed-loop learning optimization based on an execution result, and realizing automatic fault repair and continuous optimization. According to the fault insight and self-healing method and system based on chain control, a predictive early warning mechanism is established, automatic fault self-healing is realized, and through intelligent and automatic means, manual intervention is reduced, the operation and maintenance cost is reduced, the average repair time is shortened, the service continuity is guaranteed, and the system availability is improved.

The invention discloses an intelligent property management system based on artificial intelligence, and relates to the technical field of intelligent property, and the system comprises a data management center which is in communication connection with a data collection and transmission module, a fault recognition and diagnosis module, a knowledge graph auxiliary decision module, an intelligent repair customer service module and an equipment maintenance management module. And the data acquisition and transmission module is used for acquiring and preprocessing operation data of the facility equipment based on various sensors deployed on the property facility equipment. According to the invention, real-time analysis is carried out on facility equipment operation data through an artificial intelligence algorithm, potential faults can be identified in advance and early warning can be given out, fault expansion is avoided, fault causes are rapidly positioned, clear guidance is provided for maintenance personnel, maintenance time is shortened, a knowledge graph is combined with a fault identification result, a solution strategy and decision support are provided, and maintenance efficiency is improved. Maintenance personnel are helped to quickly make a reasonable maintenance plan, resource allocation is optimized, and the fault processing efficiency is remarkably improved.

The invention discloses a composite insulating arm surface repairing material and a repairing method, and the repairing material comprises the following raw material components in parts by weight: 100 parts of matrix resin, 0.8-4 parts of a curing agent, 0.2-1.2 parts of an accelerant, 5-20 parts of color paste, 10-25 parts of inorganic particles, and 10-25 parts of inorganic fibers. The repairing material is simple in preparation method and convenient to use, according to the repairing method, the repairing material is used for replacing gel coat spraying repairing, the operation difficulty is low, the repairing duration is shortened, the repairing efficiency is improved, and all technical indexes of the repaired insulating arm component can meet the use requirements.

The invention discloses a product production process scheduling method and system based on intelligent manufacturing, and belongs to the technical field of intelligent manufacturing. According to the method, rapid local rescheduling is realized through fault influence domain identification, a three-level response strategy and real-time equipment health assessment. When an equipment fault signal is detected, a to-be-executed task on the fault equipment is identified, a subsequent task chain is traced through the technological process dependency relationship, the boundary of a fault influence domain is determined, and the influence domain relates to 10%-20% of tasks in the whole production plan. And selecting a corresponding response strategy according to the predicted repair time, adopting a task delay strategy when the predicted repair time is less than 30 minutes, performing local redistribution on tasks in the influence domain when the predicted repair time is less than 30 minutes to 2 hours, and expanding the influence domain to the whole process for comprehensive optimization when the predicted repair time is more than 2 hours. Meanwhile, monitoring data such as equipment vibration, temperature, current and rotating speed are collected to calculate a health degree score, and 5%-10% of productivity redundancy is reserved for high-risk equipment.

The present invention relates to the technical field of avionics equipment, and disclosed is a cross-domain maintenance decision-making method for coordinated optimization of maintenance service outlets, activities, and resources. The method comprises the steps of: on the basis of a fault phenomenon, acquiring a set of a variety of maintenance activities; determining whether resources required for a faulty product are missing at a current service outlet, and if the resources are missing, separately computing a resource scheduling time and cost required for each maintenance activity for which resources are missing; computing a fault repair time, repair costs, and repair probability of a certain maintenance activity; and determining a goal of a maintenance decision, and outputting an optimal maintenance scheme. The present invention can assist technicians in making maintenance decisions during maintenance of electronic products, reduce the waste of time and resources caused by the inconsistencies and uncertainties of maintenance activities, guide maintenance activities of remote operation and maintenance, reduce maintenance time, and reduce operation and maintenance costs.

The invention discloses a vulnerability processing method and device, equipment and a medium in the technical field of computers. Feature coding is carried out based on server operation information and sensor data; the target features obtained through coding and the matched vulnerability features are constructed into a vulnerability chain, and the emergency degree and the repair time period of the vulnerability chain are determined; and finally, generating a vulnerability repair strategy based on the target feature, the emergency degree and the repair time period by using the repair decision model, and automatically executing the vulnerability repair strategy. Therefore, the full-automatic process of data acquisition, vulnerability detection and vulnerability repair is realized, the vulnerability repair efficiency can be improved, and the influence on services is reduced.

The invention discloses a war damaged equipment maintenance scheduling method based on digital twinning and robustness optimization, and aims to solve the problems that a traditional optimization model is insufficient in adaptability to a battlefield dynamic scene and is incomplete in consideration of risk factors. The method is realized through the following steps: firstly, acquiring a battle damage equipment state, a maintenance unit state and environmental factor data in real time by using a digital twin technology, and constructing a task importance degree, battle damage equipment maintenance time and maintenance unit maneuvering time evaluation model; secondly, a multi-objective optimization function with the maximum comprehensive importance degree and the minimum maximum maintenance time as objectives is established, an uncertainty set of team confrontation intensity, capacity matching coefficients, threat coefficients and fatigue coefficients is constructed, and robustness buffer capacity is introduced for robustness optimization modeling; example verification shows that the method can effectively fuse dynamic data, quantitatively process multiple risks, improve the anti-interference capability and battlefield adaptability of a scheduling scheme, and provide scientific decision support for wartime equipment maintenance support.

The invention discloses an automatic operation and maintenance system based on fusion of an AI agent and a configuration management database, and the system comprises a data collection module which is used for automatically collecting configuration information of IT infrastructures through a multi-mode collection technology; the configuration management database is used for converting the configuration information into configuration items and dependencies to construct a knowledge graph; the AI agent comprises a log analysis unit used for carrying out structured processing on the unstructured log data; the anomaly detection unit is used for carrying out anomaly detection on the structured log data and time sequence index data by adopting an unsupervised machine learning algorithm; the root cause positioning unit is used for performing topological relation reasoning on the detected abnormal events based on a knowledge graph, and determining a fault type and a root cause configuration item causing the fault; and the automatic executor is used for calling an automatic operation and maintenance tool to execute repair operation according to the fault type and the root cause configuration item. The operation and maintenance efficiency can be improved, and the fault repair time can be shortened.

According to the mask defect in-situ repairing method, the femtosecond laser is adopted for defect repairing, and all the advantages of the femtosecond laser are absorbed. Femtosecond laser is ultrashort pulse laser with'femtosecond 'as a time unit, the pulse duration time of the femtosecond laser is extremely short (femtosecond magnitude), and the peak power of the femtosecond laser is extremely high (the maximum can reach pat watt). Therefore, according to the repairing method, the repairing precision can be reduced to 15 nm, the heat affected zone is smaller than 1 micron, the repairing time can be shortened to 100 ms for the defect of 100 nm, the roughness of the repaired surface is smaller than or equal to 0.5 nm, meanwhile, the good effects of high repairing precision, low heat affected zone, high repairing speed, low equipment cost and simple operation are achieved, and the rejection rate of the mask is reduced. The method is especially suitable for repairing advanced process masks, such as EUV and ArF, and display panel masks, such as OLED and FMM, and MEMS device masks.

In a computer-implemented method and associated tangible non-transitory computer-readable medium, an image of a damaged vehicle may be analyzed to generate a repair estimate. A dataset populated with digital images of damaged vehicles and associated claim data may be used to train a deep learning neural network to learn damaged vehicle image characteristics that are predictive of claim data characteristics, and a predictive similarity model may be generated. Using the predictive similarity model, one or more similarity scores may be generated for a digital image of a newly damaged vehicle, indicating its similarity to one or more digital images of damaged vehicles with known damage level, repair time, and / or repair cost. A repair estimate may be generated for the newly damaged vehicle based on the claim data associated with images that are most similar to the image of the newly damaged vehicle.

The invention provides an intelligent fault self-healing method based on a multi-dimensional index, and relates to the technical field of fault detection and repair, and the method comprises the steps: collecting multi-source data, carrying out the feature engineering processing, carrying out the fault classification through employing an XGBoost classifier, and selecting a combined repair strategy according to the fault type in combination with the controller type and service level features. And the repair operation is executed after the service dependency graph is optimized. The fault diagnosis accuracy can be improved, the fault repair time is shortened, the manual intervention requirement is reduced, and the cloud platform service reliability is improved.

The invention provides a wind power blade repairing robot system which comprises a bottom plate, a mechanical arm module, a putty smearing module, a spraying module, a polishing and cleaning module and a consumable library, the mechanical arm module comprises an RGB-D camera, an adapter ring, a robot tail end quick change disc and a mechanical arm, and the mechanical arm is arranged on the bottom plate. The adapter ring is arranged at the tail end of the mechanical arm, the RGB-D camera and the robot tail end quick-change disc are both installed on the adapter ring, and the putty smearing module, the spraying module and the polishing and cleaning module can be connected with the robot tail end quick-change disc through the tail end quick-change disc. A'coating and scraping 'putty integrated polishing and cleaning module and a spraying module are designed, repairing work of putty coating and putty scraping is carried out at the same time, the size and the weight are saved, meanwhile, the repairing efficiency is improved, according to the repairing method, no manual operation in the whole process can be achieved, real full-automatic blade repairing is achieved, unmanned replacement is achieved, and the repairing efficiency is improved. And the repairing time is obviously reduced.

The invention discloses a big data-based switch fault elimination method and system, and relates to the technical field of network operation and maintenance, and the method comprises the steps: distributing each network link state node through employing a self-adaptive controller, and collecting network state data; constructing a streaming processing engine, and setting a dynamic baseline alarm device to preliminarily classify the network state data; querying switch information corresponding to the network state data by adopting a controller code, and carrying out abnormal index analysis to obtain a fault data label; aI pipeline detection is deployed, and intelligent root cause analysis is performed on the fault data label, so that gradual optimization from alarm to root cause positioning is realized, and the average repair time is greatly shortened.

The utility model discloses a tubular belt conveyor with a torsion fault early warning function, which relates to the technical field of belt conveyors and comprises a frame type support, a roller mechanism and a conveying belt running in the frame type support. A first roller type limit switch and a second roller type limit switch are arranged at the top end of the section, which is overlapped into the circular tube shape, of the frame type bracket, wherein a wheel of the first roller type limit switch is pressed on the outer surface of the belt of the circular-tube-shaped conveyer belt, and the second roller type limit switch is arranged beside the first roller type limit switch; the vertical distance H between the bottom end of a wheel of the second roller type limit switch and the surface of the overlapped circular tube-shaped belt is 3-10mm, and the arc length L between the wheel of the second roller type limit switch and the side surface of the overlapped circular tube-shaped belt is 10-100mm; the two limit switches are respectively connected with the computer; compared with the prior art, an early warning can be given out in time for the torsion fault of the tubular conveying belt, an operator stops the machine in time for maintenance treatment, and the maintenance time for the torsion fault of the tubular conveying belt is greatly shortened.

The invention discloses a low-voltage power distribution network fault first-aid repair scheme generation method, system, equipment and medium, and the method comprises the steps: collecting the current, voltage and power data of a power grid in real time, carrying out the anomaly detection through employing an isolated forest algorithm, and generating a high-precision initial fault signal; performing intelligent classification on fault types and candidate fault points in combination with a convolutional neural network, and constructing a power distribution network model based on historical topological data; dynamically analyzing a fault propagation path by using a minimum spanning tree algorithm, and accurately extracting a fault influence range and key nodes; a first-aid repair resource allocation scheme is optimized through a genetic algorithm, and time and cost are balanced; an A * algorithm and real-time GIS data are fused to plan an optimal first-aid repair path, and the path efficiency is improved; and finally, constructing a multi-objective optimization model, planning the first-aid repair time, the resource cost and the power failure loss as a whole, and outputting a global optimal scheme. The whole process is intelligent, and the fault positioning precision, the resource allocation rationality and the path planning efficiency are improved.

The invention provides a code automatic repair and hot update method and system, and the method comprises the steps: capturing error information during operation through a global error monitor in a target application; reversely analyzing the error information by using Source Map to locate the position of an error source code; performing AST backtracking analysis based on the source code position to obtain an AST analysis result, wherein the AST analysis result comprises an AST error node and context information; on the basis of the error information and the AST analysis result, calling an OpenAI model to obtain a repair code block; and generating a repair patch based on the repair code block and pushing the repair patch to the client. According to the method, the code can be reconstructed and repaired in the container operated by the server, non-heat-sensing updating is realized, the stability and maintainability of the system can be effectively enhanced, and the repair time and labor cost of online errors are greatly reduced.

This application relates to a vehicle repair time management method and device applicable to vehicle repair shops, belonging to the field of big data computing technology. The method includes the following steps: obtaining the vehicle repair shop's parts purchase volume based on the annual sales details of maintenance parts at all levels; obtaining a maintenance list corresponding to each maintenance fault description based on maintenance records; recording the arrival time of target vehicles, and optimizing the repair time of target vehicles based on the arrival time and maintenance list; the big data computing platform obtains the vehicle repair shop's parts purchase volume based on the annual sales details of maintenance parts at all levels, thereby ensuring timely replenishment of commonly used parts and avoiding delays in repair time due to shortages of repair parts; and by recording the arrival time of target vehicles and optimizing the repair time of target vehicles based on the arrival time and maintenance list, the repair time of each target vehicle is shortened.

The utility model discloses an auxiliary tool for a brake pedal and an accelerator pedal, which comprises a support, a tool table top is arranged on the support, at least one pair of installation positioning areas is arranged on the tool table top, each pair of installation positioning areas comprises two adjacent installation positioning areas, tool plates are arranged in the installation positioning areas, and the tool plates are arranged on the tool table top. The brake pedal and the accelerator pedal are respectively positioned and mounted on the two tool plates, a plurality of positioning pin holes are formed in the tool plates, and the positioning pin holes in the two tool plates respectively correspond to mounting holes in a base of the brake pedal and a base of the accelerator pedal, so that the space of a tool table is large, and the efficiency of mounting the pedal assembly is higher; in the installation process, brake pedal surfaces and acceleration pedal surfaces are more easily adjusted to be located on the same plane, errors are avoided, the repair rate of the pedal is greatly reduced, even if repair occurs occasionally, the repair time can be greatly shortened when repair is conducted on a tool table top, and efficiency is improved.

The utility model discloses a steam pipeline repairing clamp which is characterized in that the steam pipeline repairing clamp comprises an arc-shaped elastic clamp body, the tail portions of the two sides of the elastic clamp body are stacked up and down, the upper stacking portion is an outer lining plate, and the lower stacking portion is an inner lining plate; an outer lining plate fastening seat is arranged at the tail end of the outer side of the outer lining plate, an inner lining plate fastening seat is arranged at the position, corresponding to the outer lining plate fastening seat, of the outer side of the inner lining plate, and the outer lining plate fastening seat and the inner lining plate fastening seat are fixed through bolts. By means of the device, convenience of steam pipeline repairing is achieved, welding repairing is not needed, fire is avoided, safety risks do not exist, the maintenance time is greatly shortened, the maintenance cost is reduced, the steam operation does not need to be paused, and the influence on the working efficiency is reduced.

The utility model discloses a fuel gas controller convenient to install. The fuel gas controller comprises a back plate and a fuel gas controller body. By arranging the limiting plate and the adjusting handle mounting sleeve, the gas controller body is mounted, so that the gas controller body drives the connecting plate, the connecting block, the clamping plate and the limiting plate to be synchronously mounted, and the limiting plate drives the limiting block to be inserted into the limiting groove; and the limiting groove is matched with the limiting block and the limiting plate to limit the clamping plate, the connecting block and the connecting plate, so that the gas controller body does not deviate during installation, and the problem that the maintenance time is directly prolonged due to inconvenience in disassembly and assembly is solved. When the interior of the gas controller needs to be checked, parts need to be replaced or troubleshooting needs to be carried out, the maintenance work progress is slow due to the complex disassembly and assembly process; and in the process of difficult disassembly and assembly, secondary damage is easily caused to the fuel gas controller or parts around the fuel gas controller.

This application discloses a natural language-driven edge-cloud collaborative intelligent operation and maintenance system and its control method, belonging to the field of intelligent operation and maintenance technology. The system includes a management plane, a control plane, an edge agent, an intelligent operation and maintenance center, a task center, and a skill center. The intelligent operation and maintenance center uses a directed graph state machine engine to convert natural language operation and maintenance goals into executable steps. The task center atomically distributes tasks to the edge agent and streams execution fragments. The skill center implements version management and AI-assisted generation of operation and maintenance skills. This invention achieves a fully automated closed loop from understanding operation and maintenance intentions to edge execution and knowledge accumulation, significantly shortening fault repair time, improving operation and maintenance security and knowledge reuse capabilities, and has outstanding substantive features and significant progress.

The invention discloses a water turbine flow passage component damage repairing device and method. The method comprises the steps that the first distance to a flow passage component is obtained; determining a direction and a distance to a preset operation starting position based on the first distance, and moving to the operation starting position; acquiring a second distance of the flow passage component, performing equidistant movement along the flow passage component based on the second distance, and acquiring three-dimensional data of the flow passage component in the movement process; calculating damage area information of the flow passage component based on the three-dimensional data of the flow passage component; generating a repair path based on the damage area information; and welding repair is conducted on the damaged area based on the repair path, so that the problems that an existing flow passage component can only be repaired through offline operation, remote online repair cannot be conducted, the repair time is long, and the repair cost is high are solved.

The utility model relates to the technical field of mass spectrometer maintenance equipment, and discloses quadrupole mass spectrometer maintenance auxiliary equipment, which comprises a base, two protection blocks are slidably connected in the base, a stabilizing seat is arranged on the inner walls of the two protection blocks, the top of the stabilizing seat is fixedly connected with a quadrupole body, and the quadrupole body is fixedly connected with the quadrupole body. A toothed plate is fixedly connected to the interior of the base, a driving assembly used for rotation is installed in one of the protection blocks, auxiliary plates are rotatably connected to the exteriors of the two adapter rods, a chuck is slidably connected to the interior of the supporting rod, and a limiting assembly used for limiting movement is installed in the chuck. According to the quadrupole rod, the quadrupole rod body can be limited through the protection block and the chuck, in the maintenance process, the unique structure and design of the quadrupole rod provide great convenience for maintenance personnel, the maintenance time is shortened, the working efficiency is improved, and the reliability of equipment is improved.

The application provides an intelligent fault self-healing method based on multidimensional indexes, relates to the technical field of fault detection and repair, comprises over-collecting multi-source data and performing feature engineering processing, using an XGBoost classifier to perform fault classification, selecting and combining a repair strategy according to a fault type, a controller type and a service level feature, and performing a repair operation through a service dependency graph atlas optimization. The application can improve fault diagnosis accuracy, shorten fault repair time, reduce the demand for manual intervention, and improve the reliability of cloud platform services.

The disclosure provides a communication system between dies and a repairing method for lanes between dies. The communication system includes a transmitting device disposed on a first die and a receiving device disposed on a second die. During the transmission process in which the transmitting device transmits a data unit stream to the receiving device through a native lane, after the native lane is determined to be a degraded lane, the transmitting device transmits a synchronization flag to the receiving device through a redundant lane to notify a repair time point. During the uninterrupted transmission process of the data unit stream, the transmitting device uses the redundant lane instead of the degraded lane based on the repair time point, and the receiving device uses the redundant lane instead of the degraded lane based on the repair time point notified by the synchronization flag.

The application relates to the technical field of computers, in particular to a pipeline construction method, device, medium and program product. The method comprises the following steps: performing a construction task of a first pipeline; in the case that it is monitored that the construction task of the first pipeline fails, obtaining error information generated by the failure; based on the error information, searching in a preset error knowledge base to obtain at least one reference task, the reference task being a historical construction task that meets a similar condition with the error information and fails; based on the error information and the reference task, determining a repair strategy of the first pipeline; and based on the repair strategy, repairing the first pipeline to obtain a second pipeline. In this way, the repair strategy can be obtained based on the error knowledge base, the fault repair time of the pipeline construction is greatly shortened, and the occurrence rate of repetitive errors in the construction process is reduced.

The invention relates to the technical field of fault diagnosis, and discloses a fault diagnosis method and device for an air conditioner outdoor unit module and an air conditioner, and the method comprises the steps that air conditioner operation data and after-sales work order data are collected, a multi-modal training set is constructed, and the after-sales work order data comprise a maintenance timestamp, fault phenomenon description and actual replacement part information; the multi-modal training set is input into a lightweight Transform model for model training, and a fault diagnosis model is obtained; under the condition that the air conditioner triggers the fault code of the outdoor unit module, inputting the operation data before the fault into the fault diagnosis model so as to output the part fault probability; and according to the component fault probability, recommending maintenance personnel to carry corresponding spare parts for door-to-door maintenance. According to the scheme, maintenance personnel can more accurately pre-judge fault components, repeated maintenance caused by spare part missing is reduced, the one-time maintenance success rate is remarkably increased, the after-sales cost is reduced, and the user experience is improved.

The utility model relates to the technical field of machinery, and discloses an auxiliary device for quickly disassembling and assembling a carrier roller for a belt conveyor, which comprises a galvanized pipe and a bottom plate fixedly arranged at one end of the galvanized pipe, and a lacing wire plate is fixedly arranged between the upper ends of two sides of the bottom plate and the galvanized pipe. When the auxiliary device is used for replacing a damaged carrier roller of the belt conveyor, the transverse connecting rod can be inserted between belts in a penetrating mode, then the two ends of the connecting rod are inserted into the connecting assemblies respectively, and at the moment, the galvanized pipes on the two sides can support the connecting rod; a repairer only needs to carry the manufacturing support and the chain block to complete replacement work, the preparation time before work is optimized compared with the prior art, the whole process repair time is prolonged, the whole replacement time is shortened to be within 20 minutes from original 1-2 hours, the overall efficiency is improved by 82% or above, the worker does not need to climb to the bottom of the belt conveyor in the replacement process, and the labor intensity of the worker is reduced. And the safety risk is reduced.