99 results about "Defect repair" patented technology

The invention provides a defect repairing method and device based on a large model, electronic equipment and a medium, and relates to the field of defect repairing, and the method comprises the following steps: obtaining original log data generated in real time; analyzing the original log data through a preset model, and determining defect logs and user operation parameters; determining a target code file corresponding to the defect log; repairing the target code file through a preset model, and generating a repairing scheme to determine a repaired code file; and submitting the repair code file to a code warehouse to cover the target code file, determining an updated code warehouse, and determining a production system instance according to the updated code warehouse. According to the method, the original log of the deployed system is obtained in real time, the defect log and the associated user operation parameters are automatically analyzed and determined, the target code file is positioned, the repair scheme adjustment code is generated, then the repair code is submitted to the warehouse for updating, the production system instance is determined, and automation of the whole process of defect repair is achieved.

The invention discloses an AI software system defect repairing method, device and equipment of a government affair platform and a medium, and relates to the technical field of computers, and the method comprises the steps that target data of a current platform AI software system in the running process is obtained through an eBPF probe loaded by a K8s cluster of the government affair platform, and defect fingerprints are determined based on the target data; determining a target defect classifier based on the graph neural network, the teacher model, the student model, a preset distillation mechanism and a KL divergence loss function, determining a target strategy composer by using reinforcement learning and a preset strategy library, and determining a target defect repair strategy based on the defect fingerprint, the target defect classifier, the business data and the target strategy composer; and performing defect repair on the current platform AI software system by using the target defect repair strategy, verifying the repaired AI software system, and if the verification is passed, completing the defect repair operation. And the AI system defect automatic detection and repair efficiency is improved.

This invention provides a comprehensive digital and intelligent operation and maintenance management method and system for power distribution networks, relating to the field of computer data processing technology. The method includes: S1, obtaining pole and tower information collected by drones during line inspections, performing defect mining and analysis on the pole and tower information, and integrating the analyzed defect information with the pole and tower information to form a pole and tower information collection table; S2, selecting and extracting corresponding data from the pole and tower information collection table, and visualizing the data on a GIS map containing the lines obtained from the pole and tower information collection table using preset markers to generate an inspection status map; S3, statistically classifying the analyzed defect information and matching it through a big data platform to generate a defect repair and management summary table; S4, analyzing the faults using an AI model and a big data platform, combining the inspection status map and the defect repair and management summary table, obtaining priority-ranked repair tasks, and proposing corresponding solutions.

The invention discloses a welding seam defect detecting and repairing method which comprises the following steps: performing defect detection on a welding seam structure based on a plurality of defect detection modes to obtain a defect detection result; performing classification identification processing on the defect detection result to obtain corresponding defect information; and generating a corresponding repair strategy according to the defect information, and performing defect repair treatment on the weld joint structure based on the repair strategy. In the aspect of detection, detection and classification identification are carried out through multiple defect detection modes, so that weld defects are captured more comprehensively and accurately, omission and misjudgment are reduced, and the detection accuracy of a complex weld structure is improved; in the aspect of repairing, a targeted repairing strategy is generated based on accurate defect information, the quality problem caused by blind operation in traditional repairing can be effectively solved, the repairing failure risk is reduced, it is ensured that the quality of a repaired welding seam is more reliable, and the requirements of nuclear power equipment for the safety and reliability of the welding seam are met; therefore, the welding seam detection precision and the repair quality are remarkably improved.

The invention discloses a multi-modal alignment and weak supervised learning-based pipeline defect detection and report generation method, which comprises the following steps of: performing data cleaning and standardization processing on pictures in a pre-acquired pipeline defect report and corresponding text information, and labeling the processed pictures, converting the processed picture and text information into high-dimensional semantic vector representation to obtain a text vector and a picture vector, and establishing a data set in combination with the annotation of the picture; based on the data set, training a multi-modal vector aligned large language model, and realizing defect detection and report generation to obtain a defect detection result and a report; performing validity verification and expert feedback correction on the defect detection result and report; the pipeline defect detection and report generation task can be efficiently and accurately completed, and the testing efficiency and the intelligent level in the defect repairing process are improved.

The invention relates to the technical field of defect repairing, in particular to a defect repairing method, device and equipment for hot end components of a gas turbine, a storage medium and a product. Carrying out synchronous registration on the surface image and the temperature field distribution data; inputting the surface image and the temperature field distribution data after synchronous registration into a trained defect detection model for defect detection to obtain the defect type of each hot end component; and performing defect repair on each hot end component according to a defect repair strategy corresponding to the defect type, and identifying possible defects in the hot end component through a surface image of the hot end component and temperature field distribution data in multiple dimensions so as to determine a specific damage type in the hot end component. And corresponding defect repair strategies are selected based on different types of defects to perform defect repair on each hot end component, so that the defect repair effect is improved in a targeted manner.

The invention discloses a two-dimensional code recognition and defect repair method and device, and the method achieves the effective integration of visible light, infrared and ultraviolet image features through the collection and preprocessing of a multi-modal image, greatly improves the feature recognition degree of a two-dimensional code under a complex background, and solves a problem that a conventional method is poor in adaptability to the complex background. According to the lightweight convolutional neural network defect detection model, pixel-level defect segmentation and multi-dimensional classification are realized, a defect severity grading mechanism is combined, an accurate basis is provided for intelligent defect evaluation, and the defect of lack of intelligent evaluation in the prior art is made up; for self-adaptive repair strategies of defects of different types and levels, the advantages of multiple algorithms such as texture synthesis, error correction coding and geometric correction are fused, and the repair precision of the two-dimensional code is greatly improved; a closed-loop verification mechanism of repair and recognition realizes linkage optimization of a repair process and a recognition result by dynamically adjusting repair parameters, and the problem of low efficiency caused by separation of repair and recognition is effectively solved.

The invention discloses a defect repairing device and method for a metal component, and the device comprises a closed container which comprises a cabin body, a cabin door, an insulating cylinder, and an insulating storage platform; the bin door and the bin body are opened and closed to form a sealed cavity; the insulating cylinder is arranged in the sealing cavity, and an opening in one side faces the bin door; the insulating object placing table is arranged in the insulating cylinder and is used for placing a metal component; the gas pressurization system is located outside the closed container, communicates with the sealing cavity and is used for providing pressurized gas, so that the interior of the sealing cavity is pressurized to preset process pressure; the pulse current system comprises a pulse power supply and a current applying part, the pulse power supply is located outside the closed container, the current applying part is located in the insulating cylinder, the pulse power supply is conductively connected with the current applying part through a wire, and the current applying part is used for making contact with the metal component and applying pulse current. The application of the electric pulse treatment technology in defect repair of the metal component is realized, and the metallurgical-grade repair of the defects of the metal component is efficiently, quickly and accurately realized.

The present application relates to the technical field of patching material mix ratio determination, and particularly relates to an underwater patching material mix ratio determination method. A plurality of initial underwater patching material mix ratios are obtained; initial compressive strength, initial splitting tensile strength and initial fluidity corresponding to each initial underwater patching material mix ratio are determined; a multi-objective fitness function is constructed based on the initial compressive strength, the initial splitting tensile strength and the initial fluidity corresponding to each initial underwater patching material mix ratio; and each initial underwater patching material mix ratio is optimized based on the multi-objective fitness function to obtain a target underwater patching material mix ratio. The traditional trial-and-error test method is replaced, the test workload is greatly reduced, and the mix ratio research and optimization efficiency is improved. The engineering adaptability and application reliability of the target underwater patching material mix ratio are ensured, and the core engineering goals of the underwater grouting repair, defect repair and bearing capacity recovery are achieved.

The utility model relates to the technical field of stamping production devices, in particular to a stamping part surface defect repairing device which comprises a control system and a repairing device body and further comprises a self-adaptive clamp, the self-adaptive clamp comprises a base plate, sliding blocks, vacuum suction cups and a locking assembly, the base plate is provided with sliding grooves in a honeycomb array, the sliding blocks are arranged in the sliding grooves in a sliding mode, and the vacuum suction cups are arranged in the sliding grooves. A spring is arranged between the sliding block and the ground surface of the sliding groove, the upper end of the sliding block is connected with a vacuum chuck through a ball-and-socket joint, an annular groove is formed in the side face of the sliding block, an elastic sealing ring is arranged in the annular groove, and a communicating hole is formed in the ground of the annular groove and communicated with an external high-pressure air source through a cavity formed in the sliding block. The spring is flexibly matched with the curved surface of the workpiece, then high-pressure gas acts to drive the locking assembly to act to position the sliding block, and finally the sliding block and a stamping part are connected through the vacuum suction cup, so that the rigid-flexible contradiction of a traditional clamp is solved, the curved-surface workpiece is effectively fixed, and meanwhile the surface of the workpiece is prevented from being damaged.

The invention discloses an additive process parameter planning method and device for defect repair welding. The method comprises the following steps: acquiring point cloud information of a repair welding position of a target workpiece and a pre-planned automatic repair welding path; and based on the automatic repair welding path, generating a segmentation surface passing through the path point, and based on the point cloud information, recovering the lost step format digital model by using a reverse reconstruction method, so that the generated segmentation surface is used for segmented cutting, and then the welding process parameters are dynamically matched according to each cut sub-model. According to the method, the complicated pretreatment simulation and training process is avoided, the process response speed is remarkably increased, good adaptability is achieved, and variable, non-standard and high-complexity repair welding objects in remanufacturing can be effectively handled.

This invention provides a method, system, device, and storage medium for automatic panel defect repair, relating to the field of automatic panel defect repair technology. The method comprises: using a pre-trained defect detection model to detect defects in a panel image to obtain defect target boxes; performing periodic matching and periodic migration of the panel image based on a preset matching template to locate repair anchor boxes in the panel image; performing intersection calculation and threshold verification on the defect target boxes and repair anchor boxes in the panel image to obtain repair boxes; automatically repairing panel defects based on the repair boxes and acquiring a panel defect repair image; and using a pre-trained defect repair effect detection model to detect defect repair in the panel defect repair image to obtain defect repair detection results. This invention utilizes deep learning technology and computer vision technology for defect detection, defect repair, and defect repair effect detection, meeting the needs of panel manufacturers for automatic defect detection and repair.

The application discloses a defect code generation method and related device, and the method comprises the steps of: obtaining at least one code segment pair from a code library; analyzing the modification reason between the first code segment before modification and the second code segment after modification in each code segment pair through a first language model, and identifying the defect type of the first code segment in each code segment pair indicating defect repair; obtaining at least one code segment pair corresponding to each defect type as a target code segment pair, and calling a second language model to learn each target code segment pair with the generation of defect code as a learning target to obtain a learned second language model; and generating a defect code segment corresponding to the target code segment through the learned second language model. The method can realize the automatic generation of defect code, improve the generation efficiency of defect code, improve the generation quality of defect code, and enhance the comprehensiveness and authenticity of the generated defect code.

This invention relates to the field of surface defect detection technology, specifically to a vision-based scanning surface defect detection device for oil drill pipes. It includes a drive unit, a displacement assembly, a laser probe, and a control feedback module. This solution uses a clamping assembly to fix the drill pipe's position and provide position status feedback. A laser receiver and laser emitter interact to detect and capture abnormal positional distributions of the drill pipe, avoiding the influence of irrelevant defects or abnormal placement on the surface defect detection. Simultaneously, the displacement assembly and drive unit perform defect detection at different locations on the drill pipe's outer surface, achieving comprehensive defect detection. The control feedback module collects positional parameters of the detection area in real time, constructing a location-based defect re-inspection route for irregularly placed drill pipes, precisely capturing the repair status of each defect repair point, avoiding repeated position corrections, and improving re-inspection efficiency.

The utility model discloses a defect repairing device for a baked porcelain restoration, which belongs to the field of baked porcelain restoration and comprises a handle, an anti-slip sleeve is fixedly sleeved on the outer wall of the handle, an adsorption component is arranged on the side wall of the handle and comprises a sliding seat fixedly connected to the side wall of the handle, and a limiting block is fixedly connected to the side wall of the sliding seat. Through cooperative use of all the devices, in the polishing process of the polishing head, tooth powder generated during polishing can be rapidly adsorbed through cooperation of the suction rod, a suction box, a vacuum generator and a negative pressure pipe and high-speed adsorption force, the powder is adsorbed through a filter plate and an adsorption plate, and the tooth powder is adsorbed through the suction box, the suction box, the vacuum generator and the negative pressure pipe; tooth powder is prevented from remaining at the tooth grinding position to affect the adhesion strength of porcelain repair, the repair efficiency can be improved through adsorption in the grinding process, the cleaning assembly is matched, the grinding efficiency can be improved through mutual cooperation of a flushing box, a nozzle and an air pipe and water flow, and the repair effect is further improved.

One or more embodiments of the present disclosure describe an artificial intelligence assisted substrate defect repair apparatus and method. The AI assisted defect repair apparatus employs an object detection algorithm. Based on the plurality of images taken by detectors located at different respective positions, the detectors capture various views of an object including a defect. The composition information as well as the morphology information (e.g., shape, size, location, height, depth, width, length, or the like) of the defect and the object are obtained based on the plurality of images. The object detection algorithm analyzes the images and determines the type of defect and the recommends a material (e.g., etching gas) and the associated information (e.g., supply time of the etching gas, flow rate of the etching gas, etc.) for fixing the defect.

The invention relates to the technical field of intelligent manufacturing, in particular to a ceramic surface defect repairing method and system. The method comprises the following steps: acquiring a ceramic workpiece scanning image with defects and a trained defect repairing network; inputting a scanned image into the network, and outputting a defect segmentation mask through a defect detection sub-network; based on the mask, fusing the scanned image and the standard three-dimensional model through a three-dimensional reconstruction sub-network, and generating a geometric patch of the defect area and matched texture features; finally, geometric patches and texture features are input into a repair planning sub-network, a repair path and deposition parameters are planned through an optimization algorithm, and a control instruction sequence is generated; according to the invention, full-process intelligent integration of defect detection, three-dimensional reconstruction and repair planning is realized, and the precision, efficiency and consistency of ceramic workpiece repair are improved.

A device of integrating production line data as auxiliary data for abnormality analysis and a method thereof are disclosed. A repair / repairable system obtains defect repair information generated by an inspection station sited behind an automated optical inspection device and determining that a target material is abnormal, material data of the target material is read based on defect location information from an optical test data sheet generated by integrating an optical inspection data generated by the AOI device and a control management data generated by control management systems on a production line. A component location image is extracted from a material image of the target material based on the defect location information of the defect repair information, and the material data. The defect repair information and the component location image are integrated to generate integration information of the target material.

The invention provides a medium and low pressure town gas metal pipeline volume type defect repairing method, and relates to the technical field of pipeline repairing and reinforcing. The method comprises the steps that a pipeline body is sleeved with a silica gel mold, the defect position of the pipeline body is located in the silica gel mold, a silica gel cavity is formed between the silica gel mold and the pipeline body, an injection opening is reserved, and the injection opening communicates with the silica gel cavity; sleeving a glass fiber reinforced plastic shell outside the silica gel mold, exposing an injection port, and fastening the glass fiber reinforced plastic shell; a liquid plastic steel casting agent is poured into the silica gel cavity from the injection port; and after the liquid plastic steel casting agent is cured, a plastic steel reinforcing layer is formed, the glass fiber reinforced plastic shell and the silica gel mold are sequentially dismantled, and repairing is completed. The method can effectively solve the technical problems of high fire risk and high economic loss caused by shutdown of transportation in the process of repairing the volume type defect of the medium-low pressure gas metal pipeline by using the existing repairing method, and forms a new method for permanently repairing the volume type defect of the medium-low pressure gas metal pipeline without fire.

The application discloses a detachable digital guide plate for assisting fiber post and resin core repair and a manufacturing method. The detachable digital guide plate comprises a base guide plate and a post core guide plate assembled through a mortise and tenon joint structure. The guide plate is manufactured by using digital technology, fully considering the complexity and individual differences of the root canal morphology of natural teeth, and setting the post core position with the expected repair effect as the target, effectively assisting the accurate positioning and forming of the post core in the tooth defect repair, the fiber post bonding and the resin nucleation, especially suitable for the complex repair treatment of the multi-abutment row joint crown or fixed bridge. Not only can the guide plate assist the accurate positioning and bonding of the fiber post, but also can control the nucleation space position and shape of each post core, effectively assist the multi-abutment to obtain the common positioning channel, reduce the clinical operation difficulty, improve the operation accuracy and the quality of the oral repair treatment, and reduce the tooth preparation time of the clinician at the chair.

The invention discloses a robot repairing method for convex defects of a body-in-white covering part, and relates to the technical field of automobile manufacturing. The robot repairing method comprises the following steps that a body-in-white assembly enters a surface product defect detection station and stops; carrying out defect detection on the surface of the body-in-white by a robot provided with a surface product defect detection head, and outputting the position, the defect shape and the height information of a convex defect; the computer workstation is used for transmitting the position defect shape and height information of the convex defect to a surface product defect repairing station; a robot moving trajectory is compiled according to the corrected convex defect positions; inputting each piece of convex defect information into a pre-trained repair processing model, and outputting a corresponding hammering repair program; the robot grabs an automatic hammering tool to perform hammering repair on each convex defect according to hammering; according to the method, convex defects are automatically detected through the pre-trained image processing model, position, shape and height information is output, hammering and grinding are accurately executed by the robot, and dependence of traditional manual repairing is eliminated.

This utility model discloses a skull base defect repair device with adjustable function, including a card body. The front side of the card body is convex, and the rear side is concave. A clamping part is provided at the center of the front side of the convex side. The clamping part is arranged in an "I" shape. With the card body and clamping part provided, compared with other rigid reconstruction materials, this invention uses β-tricalcium phosphate material that can absorb human bone. It is made by mechanical processing or 3D printing technology. It has good biodegradability, biocompatibility, and non-toxicity. It can be used as an ideal bone substitute material for rigid reconstruction. In addition, this application also has the advantages of being ultra-thin, having stable clamping and good sealing effect, which can greatly reduce the occurrence of complications such as rejection reaction, postoperative cerebrospinal fluid leakage, postoperative brain tissue protrusion, and intracranial infection.

This invention relates to the field of local defect repair technology for cast parts, specifically to a cylinder block local impregnation device and method: It includes a frame, a first positioning and lifting mechanism, a second positioning and lifting mechanism, a glue-drip mechanism, a glue-brushing mechanism, a pressurizing mechanism, a heating mechanism, and a PLC control system. At the first station, the glue-drip and glue-brushing sections are driven by a first adjustable guide rail group to automatically complete precise glue dripping and uniform glue brushing at multiple holes. At the second station, the pressurizing and heating sections are driven by a second adjustable guide rail group to automatically complete sealing pressurization and rapid hot air curing. The entire device replaces the multiple devices required for traditional overall impregnation, significantly reducing equipment investment and space occupation. Simultaneously, it only treats defective holes locally, avoiding glue waste caused by overall impregnation. The entire process is automatically controlled by the PLC control system, with short processing time per part, significantly improving production efficiency and reducing production costs and resource waste.

The utility model relates to the technical field of grouting equipment, in particular to a grouting device for defect repair, which comprises a bottom plate, rollers arranged at the rear end of the bottom of the bottom plate, support legs arranged at the front end of the bottom of the bottom plate, a vertical support mounted at the rear end of the top of the bottom plate, and a grip arranged on the support. The stair further comprises a slurry storage tank, the slurry storage tank is vertically placed on the bottom plate and fixed to the support, the slurry storage tank and the support are compactly installed on the upper surface of the bottom plate, the area of the bottom plate is reduced, and the distance between the supporting feet and the idler wheels is smaller than the step width of a conventional stair. The grouting device further comprises a grouting pipeline and a pressure pump, the pressure pump is installed on the grout storage tank, one end of the grouting pipeline is communicated with the grout storage tank, and a grouting head is installed at the other end of the grouting pipeline. The problem that in the background technology, an existing grouting device is difficult to cross floors under single-person operation during transferring is solved.

This utility model provides a convenient shield tunnel segment defect repair device, relating to the field of tunnel engineering construction and maintenance technology, comprising: a base; a bracket installed on the base, a sliding support mounted on the bracket, a first hydraulic rod installed on the base, two bearing seats installed on the base, and a rotating seat mounted on the two bearing seats that can rotate around the center of the bearing seats; this utility model achieves flexible flipping of the flipping plate by combining a flipping plate, a toothed plate, and a second hydraulic rod, switching the first and second supports to complete the repair of the inner and outer sides of the shield tunnel segments; a third hydraulic rod cooperates with the lifting frame, and a fourth hydraulic rod cooperates with the movable plate to achieve precise adjustment of vertical and forward / backward displacement; a running motor drives the repair agent nozzle to automatically reciprocate spraying; the first hydraulic rod, in conjunction with the rotating seat and contact wheel adjustment device, adjusts the overall height, improving the accuracy and convenience of the repair operation, increasing repair efficiency and spray uniformity, ensuring repair quality, and enhancing construction flexibility and adaptability.

This invention provides an interactive software debugging and automatic repair method based on a large language model, addressing the problems of traditional software debugging relying on manual operation and being time-consuming, as well as the low repair accuracy caused by the lack of a dynamic operating environment in existing static automatic program repair technologies. The method first triggers a program exception by executing a reproduction command and captures the original crash stack information; then, it uses a large model to extract a simplified core function call sequence; subsequently, it constructs a closed-loop debugging mechanism, controlling the large model to generate hypotheses about the root cause of the defect and executing debugger probe commands, iteratively revising the hypotheses based on the dynamic information obtained by the debugger until the defective code is accurately located; finally, it combines the debugging context with the large model to complete root cause analysis and automatically generate and verify executable repair patches. This invention alleviates the "illusion" of large model inference by continuously capturing the underlying dynamic operating state, significantly improving the automation and accuracy of defect repair.

The present application relates to a kind of chaos engineering case design method, device, electronic equipment and storage medium.The chaos engineering case design method includes stage: requirement analysis, in requirement analysis stage, the system portrait of the system under test is carried out, and system portrait list is output;Scene design, in scene design stage, fault location, fault type, steady-state index are gradually determined according to requirement analysis result;Case output, in case output stage, case writing is carried out according to scene design result, wherein, in requirement analysis stage, the system under test is imaged from application service, product component, high availability requirement three aspects, the high availability verification point of the system under test is sorted out, and system portrait list is output.The chaos engineering case design method according to the present application, after case design, execution, defect repair, can reduce the probability of system reliability production event occurrence and influence degree to a certain extent, and can be applicable to most bank cloud native business system.

The application discloses a kind of urban drainage pipe network defect repair suggestion intelligent generation method and system, it is related to numerical, image, text and other multi-modal processing technical field, including: acquisition drainage pipeline CCTV video dataset utilizes defect category detection and segmentation model, obtains drainage pipe network defect detection segmentation result;Based on the drainage pipe network defect detection segmentation result combines preset instruction template, obtains drainage pipe network defect repair suggestion database;According to the drainage pipe network defect detection segmentation result and the drainage pipe network defect repair suggestion database, obtain urban drainage pipe network defect repair suggestion intelligent generation result.The application solves the core pain points of long time sequence video noise accumulation, defect identity drift, detection and repair process disconnection, lack of spatial carrier of pipe network data in the prior art, realizes the integration solution from pipe network data acquisition, AI defect identification to intelligent generation professional repair scheme.

The application provides a finger partial defect repair fixed-point matching method and system. The method constructs a multi-pose three-dimensional reconstruction model based on first three-dimensional medical image data and second three-dimensional medical image data of a finger to be repaired, and obtains a three-dimensional template model of a complete finger. Then, the three-dimensional template model is mapped to a first pose and at least one second pose to obtain a template multi-pose model. Then, a fixed-point matching relationship and corresponding deformation parameters between residual phalanges and corresponding anatomical points on the three-dimensional template model are determined. Finally, based on the fixed-point matching relationship and the deformation parameters, a fixed-point matching result for repairing a finger partial defect area is generated to ensure that the fixed-point matching result and the residual phalanges not only match well in each static pose, but also maintain stable joint contact relationship and soft tissue strain state in the continuous process of postoperative flexion and extension movement.

This invention discloses a method, apparatus, equipment, and medium for repairing defects in pressure vessels. The defect repair method includes: acquiring the size and location information of a defect located on the flange sealing surface, the size information including the maximum depth of the defect, and the location information including a first radial distance between the maximum outline of the defect and the maximum outline of the sealing ring indentation, and a second radial distance between the maximum outline of the defect and the center circle of the sealing ring; determining the repair method for the defect based on the size and location information, the repair method including removing burrs, sharp edges, and protrusions, grinding to remove the defect, and grinding after welding repair; and repairing the defect according to the repair method. This invention first determines the repair method for the defect based on the size and location information, and then repairs the defect according to the repair method. That is, different repair methods are used for different defects, which helps to improve the feasibility of the repair method and the efficiency of defect repair.