78results about How to "Efficient inspection" patented technology

The invention relates to an accelerated high-quality MRI (Magnetic Resonance Imaging) image reconstruction method based on a TC-KANReccon model. The method comprises the following steps: S1, collecting and preprocessing image data; s2, an accelerated high-quality MRI image reconstruction model based on a TC-KANReccon model is built; and S3, designing a noise cutting strategy of linear reduction of the cutting threshold. In each step of the sampling process, a linear decreasing cutting strategy is adopted according to the current progress of the sampling step. The strategy is applied to noise estimation generated by an MF-UKAN diffusion trunk so as to generate an MRI image with a better visual effect; s4, repeatedly training a diffusion model and a VAE module by taking the preprocessed MRI image and the full-sampling k-space data as input, optimizing network parameters, and continuously performing iterative optimization; and S5, inputting the under-sampled k-space data into the trained accelerated high-quality MRI image reconstruction model based on the TC-KANReccon model, and applying a matched noise cutting strategy of linear reduction of a cutting threshold to finally generate a high-quality MRI image.

The invention relates to the technical field of electric power facility fault detection, and discloses an electric power facility multispectral remote sensing inspection and fault diagnosis method, and the method comprises the steps: carrying a multispectral remote sensing device through an unmanned plane platform to obtain multispectral image data of an electric power facility, and carrying out the preprocessing to extract spectral features; and constructing a spectral feature analysis model to evaluate the health condition of the electric power facility, constructing a fault diagnosis model in combination with historical fault data, and determining the fault type and position. In order to optimize the fault diagnosis process, fault diagnosis is modeled as a Markov decision process, and the accuracy and efficiency of fault diagnosis are improved by defining a state space, an action space, a reward function and an output strategy and continuously optimizing decision actions by using a reinforcement learning algorithm. According to the invention, intelligent and automatic inspection and fault diagnosis of the electric power facility are realized, powerful technical support is provided for safe and stable operation of the electric power facility, and the method has wide application prospect and important practical value.

The invention relates to a method for automatically correcting and updating the route of an electric power inspection unmanned aerial vehicle, which comprises the following steps of: S1, collecting and integrating geographic information system (GIS) data of an inspection area, and constructing a topological graph; s2, obtaining detailed point cloud data of the ground and the power grid facilities, and constructing a 3D model according to the obtained point cloud data; s3, based on the topological graph and the 3D model, extracting a key position from the 3D model by using an algorithm, determining an initial waypoint, extracting waypoints from the key position of the power grid equipment, connecting all the extracted waypoints by using a path planning algorithm, and generating an initial inspection route; s4, correcting the initial inspection route in combination with real-time weather, equipment priority and historical data; and S5, combining the combination degree RTK GPS and an environment adaptive VIO algorithm to realize sub-meter positioning precision, and after the key position centralization is successful, automatically updating the waypoint and immediately uploading the waypoint to a control center to realize automatic updating of the route. The accuracy and efficiency of unmanned aerial vehicle inspection are effectively improved.

The invention discloses an unmanned aerial vehicle inspection defect image recognition system and method, and relates to the technical field of image recognition, and the system comprises an unmanned aerial vehicle platform, an image collection module, an image processing module, a defect detection and recognition module, and a report generation module. The unmanned aerial vehicle platform comprises an unmanned aerial vehicle body, a high-definition camera, an infrared thermal imager, a cloud processing center, a GPS positioning system and a data transmission module. According to the method, the image collected by the unmanned aerial vehicle is subjected to preprocessing such as denoising, then feature extraction is performed, the influence of factors such as environment and weather on the shot image is effectively eliminated, the defect type of the inspection target is accurately identified through the defect identification model, the identification result is more accurate, the influence on defect identification judgment of the inspection target is avoided, and the inspection efficiency is improved. The efficient, accurate and real-time inspection and defect identification of the target area are realized, the model is optimized and updated regularly, and the accuracy and efficiency of identification can be improved.

The invention discloses wind power generation equipment gear ring machining equipment and a machining method, and relates to the technical field of gear ring machining, the wind power generation equipment gear ring machining equipment comprises a machining table, a clamping assembly is arranged at the top end of the machining table, and a rotating assembly is arranged at the bottom end of the clamping assembly; the clamping assembly comprises a placing table, three first sliding grooves are evenly formed in the bottom end of the placing table, three second sliding grooves are formed in the bottom end of the placing table in a penetrating mode, and an arc-shaped clamping plate is fixedly installed at the top end of the placing table. The rotating assembly comprises a first electric push rod, the output end of the first electric push rod penetrates through the machining table and the top end of the containing table and is fixedly provided with a supporting plate, and the clamping assembly can fixedly clamp the gear ring and can drive the gear ring to rotate through the rotating assembly, so that the gear ring is conveniently machined; and after machining is completed, the first electric push rod drives the supporting plate to ascend, the supporting plate drives the gear ring to leave the containing table, and the gear ring can be observed conveniently and the machined gear ring can be moved and carried conveniently.

The invention discloses an urban road intelligent inspection method and system based on an automatic driving vehicle. The method comprises the following steps: S1, acquiring position information of the automatic driving vehicle through a positioning module loaded at a vehicle end; s2, sensing the surrounding environment of the vehicle through a camera module loaded on the vehicle end so as to construct image information; s3, target detection is carried out based on the constructed image information through a deep learning algorithm, whether road abnormity exists or not is judged, if yes, the step S4 is carried out, and if not, the step S1 is carried out; s4, the vehicle end organizes the vehicle information and uploads the vehicle information to the cloud platform data center; and S5, after the cloud platform data center receives the corresponding information, carrying out data induction and arrangement, data storage, construction of a maintenance task and tracking. According to the technical scheme, a brand-new, more intelligent and efficient infrastructure maintenance mode is provided for urban managers, and promotion of urban traffic and living environment is facilitated.

The invention discloses a coordinated interaction control technology-based power transformation equipment tripping linkage processing method, a power transformation equipment tripping linkage processing architecture comprises a power grid near end (1) and a cloud end (2), and the power grid near end (1) comprises a fault recording module (101), an edge fault response communication module (102) and a camera module (103); the tripping linkage processing method for the power transformation equipment specifically comprises the following steps: when a tripping fault occurs, the edge fault response communication module (102) sends a fault response to the cloud (2); linkage fault response logic is established at the cloud end (2), and the cloud end (2) calls the camera module (103) to perform secondary verification on the fault response according to the fault response; and when the secondary verification results are the same, generating maintenance reference data. According to the scheme, the tripping fault of the power transformation equipment can be quickly responded and processed, and the fault processing efficiency is improved.

The invention belongs to the technical field of unmanned aerial vehicle inspection control, and particularly relates to a power distribution network target identification and tracking method and system based on an intelligent unmanned aerial vehicle. Severe inspection environment identification is carried out in the inspection process, and multi-source inspection is carried out by using a multi-source inspection terminal in combination with different types of sensor data in the severe inspection environment; according to the method, the target recognition capability is enhanced, effective detection can be carried out even under the condition that vision is limited, meanwhile, multi-source inspection data comprises operation temperature data, comprehensive and effective inspection in a severe inspection environment is achieved, and in addition, the obstacle recognition and the dynamic tracking of the inspection result are carried out in the severe inspection environment, so that the inspection efficiency is improved. Therefore, obstacle recognition and tradeoff adjustment of the inspection frequency are carried out, so that resources and time can be more concentrated on places needing to be concerned actually, and the resource utilization efficiency, the data processing capability, the fault response capability and the system stability of inspection work can be remarkably improved.

The invention discloses a power transmission equipment intelligent inspection method and system based on three-dimensional modeling, and belongs to the technical field of power transmission equipment intelligent inspection, and the method comprises the steps: obtaining the operation data and topological data of power transmission equipment, and carrying out the three-dimensional modeling based on a pre-established three-dimensional modeling model according to the topological data and equipment data, obtaining a three-dimensional model of the power transmission equipment; based on the three-dimensional model, formulating a fault inspection route for the to-be-inspected equipment, and checking whether the fault inspection route meets requirements or not; and if yes, controlling inspection equipment, and inspecting the to-be-inspected equipment according to the inspection route. According to the method, the power transmission equipment of various structures can be effectively inspected, the inspection route can be quickly formulated by using the established model, and conventional inspection can be carried out, so that the normal operation of the power transmission equipment is ensured, and the loss caused by faults is avoided.

The invention discloses a multi-area coverage inspection system using an unmanned aerial vehicle cluster, and particularly relates to the technical field of unmanned aerial vehicle cluster inspection. The system comprises an inspection area division module, an unmanned aerial vehicle cluster setting module, a road surface damage monitoring module, a traffic sign monitoring module, a monitoring response module, a working state judgment module, an inspection display early warning module and a database. According to the invention, the unmanned aerial vehicle cluster multi-area inspection is adopted, in a cluster mode, a plurality of unmanned aerial vehicles can work cooperatively, large-range and multi-area efficient inspection is realized through cooperative flight and division and cooperation, the inspection speed and precision are greatly improved, and the labor cost and the safety risk are reduced at the same time. According to the method, the inspection areas of the expressway are divided, the inspection speed and precision are improved in a targeted manner, the inspection precision of the risk area is ensured, and the inspection efficiency of the general area is improved.

The invention discloses a method and system for carrying out target detection on an unmanned aerial vehicle cable channel image, and the method comprises the steps: building a chain-type lightweight attention module based on a lightweight attention module and a point-by-point convolution layer, and constructing a chain-type lightweight attention C2f module through employing a plurality of layers of chain-type lightweight attention modules; constructing a double-layer fusion module based on a depth separable convolutional layer; constructing a depth space convolution module based on the depth space layer and the non-step convolution layer; a chain type lightweight attention C2f module, a double-layer fusion module and a deep space convolution module are adopted to improve a YOLOv8 network structure, and a YOLO-SGdrone network is obtained; and constructing a target detection model, and performing target detection on the unmanned aerial vehicle cable channel image. According to the invention, improvement is carried out based on YOLOv8 to obtain a target detection model, so that a target needing to be identified in the inspection process can be effectively detected, and an alarm is given when a specific target is identified.

The invention discloses an electric power inspection method. The method comprises the steps of forming an insulator image set; an original insulator detection model is constructed, and training, evaluation and testing are carried out; and acquiring an image of an insulator to be detected, and inputting the image into the insulator detection model for insulator identification. The method has the beneficial effects that the insulator with the fault can be quickly inspected, the cost is low, the efficiency is high, and the safety and the technicality are relatively good. Through fusion and application of a single-stage target detection technology, an acceleration robust feature technology and an anomaly detection technology, the electric power inspection detection accuracy is greatly improved. In the high-voltage power transmission line, the insulator with the fault can be quickly and accurately searched, and the existing suspicious fault point can be efficiently and reasonably inspected, so that the stable operation of the high-voltage power transmission line is guaranteed. The unmanned aerial vehicle can hover above the insulator of the power transmission line in an intelligent and spot-hovering manner for local detection, so that the task load and time of manual inspection are reduced.

The present disclosure provides a method, device and computer-readable storage medium for verifying an Android installation package, and relates to the field of information technology. The method for verifying an Android installation package includes: obtaining the total file length of the target Android installation package; when the total file length is greater than a first threshold, downloading the structural data of the core directory of the target Android installation package; determining whether the structural data of the core directory of the target Android installation package and the structural data of the core directory of the local Android installation package have the same hash value; when they have the same hash value, determining that the target installation package is the same as the local Android installation package; when they have different hash values, determining that the target installation package is different from the local Android installation package. The present disclosure can more efficiently verify whether the target Android installation package is the same as the local Android installation package, saving download time, download bandwidth and computing resources.

This invention discloses a real-time evaluation method for photovoltaic panel defects and performance based on multispectral imaging, belonging to the field of computer processing technology. The method includes the following steps: S01, emitting multispectral light including visible light, near-infrared, and thermal infrared bands to the photovoltaic panel, and simultaneously receiving reflection and radiation signals based on the multispectral light to obtain a multispectral image dataset; wherein, the dataset includes visible light images, photoluminescence images in the near-infrared band, and thermal infrared images; S02, performing registration and fusion processing on the multispectral image dataset to generate a registered multispectral fused image. This invention, through multispectral information fusion and intelligent analysis, achieves simultaneous diagnosis of internal and external defects of photovoltaic panels and quantitative evaluation of power generation performance, significantly improving detection efficiency and maintenance accuracy.

The utility model provides a film inspection product recoiling device and a film inspection product system with the film inspection product recoiling device. A film inspection rewinding device (1) is provided with: a feeding unit (2) for feeding a long-strip-shaped film (10) that is wound into a roll; an inspection unit (3) that is disposed on the downstream side of the feeding unit (2) and that inspects defects in the fed film; a mark adding unit (4) that is disposed on the downstream side of the inspection unit and adds a mark to the film on the basis of the presence or absence of a defect in the film; and a winding part (5) which is arranged on the downstream side of the mark adding part and winds the film into a roll shape. According to the film inspection product rewinding device, defects of a film can be inspected with high precision and high efficiency when the film which is wound into a roll shape is rewound.

Prior to dispensing a sample into a reaction vessel 1 and performing sample measurement, an automatic analyzer dispenses pure water into the reaction vessel to perform water blank measurement, corrects absorbance data of a reaction solution of the sample and a reagent measured by sample measurement with water blank absorbance data measured by the water blank measurement, and performs an analytical sequence that analyzes the sample based on the corrected absorbance data, and also determines a water quality abnormality of a reaction tank circulating water 112 based on the water blank absorbance data measured by the water blank measurement. Accordingly, water quality abnormality is detected in a reaction tank circulating water without adding a dedicated mechanism or confirmation operation.

The invention discloses a positioning detection device and method for a discharge source of electrical equipment in a transformer substation. The positioning detection device comprises an ultraviolet detection assembly, a signal processing module, a single-chip microcomputer module and a data recording module. The method comprises the following steps: S1, determining an inspection route and a detection point position of a trolley of a loading detection system, and collecting a discharge signal; s2, determining a direct-view detection link; s3, determining direct-view detection planes, and obtaining a discharge source position vertical line where any two direct-view detection planes intersect; s4, projecting vertical lines of all discharge source positions on a horizontal plane to obtain a set formed by coordinates of all projection points; s5, points which are distributed discretely in the projection points are removed; and S6, taking the projection point at the central position as the position of the vertical line of the discharge source position. The ultraviolet detection assembly, the signal processing module, the single-chip microcomputer module, the data recording module and the positioning algorithm are matched with the intelligent mobile trolley, and efficient routing inspection of positioning of the equipment discharge source in the transformer substation is achieved.

The invention relates to the technical field of semiconductor packaging test equipment, and particularly discloses an inspection device and method for a semiconductor packaging test carrier, and the device comprises a pedestal, a conveying mechanism, a first inspection module, a resistance collection mechanism, and a control system. The conveying mechanism is fixed to the base and used for conveying the to-be-detected carrier to pass through the first detection module in the longitudinal direction. If the shape, the size and the arrangement position of the carrier groove of the to-be-detected carrier are abnormal, the defect, deformation and abrasion degree of the to-be-detected carrier can be quantitatively judged, the abnormity of the semiconductor packaging test carrier can be more accurately detected compared with manual work, measurement errors and subjective judgment of measurement results do not exist, and the detection accuracy is improved. The accuracy and the reliability of the abnormal detection of the carrier are relatively high; manual visual inspection or use is not needed, the conveying mechanism is matched with the first inspection module, the thrust sensor and the control system to automatically complete carrier abnormality inspection, efficient and rapid inspection is achieved, carriers can be inspected in batches, and production work benefits are improved.

The invention discloses an OPC verification method. The method comprises the following steps: step 1, carrying out region division on a layout and obtaining selected regions; and 2, dividing the pattern area of the selected area into a sub-regular pattern and a regular pattern based on a design rule. And step 3, marking the sub-regular graph to form a sub-regular graph mark. A halo area with the diameter being a first value is formed by expanding with the mark center of the sub-regular pattern as the original point and serves as a first mark area layer of the sub-regular pattern. And taking the non-taking area of the first marking area layer as a second marking area layer of the regular pattern. And 4, performing OPC verification on the patterns of the first and second mark area layers respectively. The item of OPC verification of the first mark area layer comprises first critical dimension inspection; the first critical dimension inspection adopts hierarchical inspection, and the first error tolerance of each layer of inspection is determined according to a set value of a design rule multiplied by a corresponding percentage. According to the invention, the inspection efficiency can be improved, omission is avoided, and the product yield can be improved.

The utility model discloses a tungsten filament glass heating function testing device, which comprises a support frame used for bearing and positioning tungsten filament glass, a point light source, a power supply and a screen, the power supply is connected with a connecting wire, one end of the connecting wire is provided with a tungsten filament joint connected with the tungsten filament end part of the tungsten filament glass, and the other end of the connecting wire is provided with a wire clamp. The point light source and the screen are located on the two sides of the supporting frame, and the point light source, the supporting frame and the screen are arranged in an aligned mode. The tungsten filament glass heating function testing device is reasonable in structural design, after a direct-current power supply is connected with a tungsten filament connector to be electrified and heated, a tungsten filament in an interlayer can be thickened under the normal condition, after a point light source penetrates through glass to irradiate, the thickened tungsten filament can be clearly projected on a white curtain, and testing personnel can observe images and easily find abnormal distribution of the tungsten filament; the inspection operation is simple and convenient, and the inspection is efficient.

The invention relates to the technical field of operation control, in particular to a textile delivery inspection control system, which comprises a data acquisition module, an inspection task generation module and an inspection distribution module, the data acquisition module is used for automatically acquiring basic information and shipment requirements of to-be-detected textiles; the inspection task generation module dynamically generates an inspection task according to the basic information of the textiles and shipment requirements, and the inspection task comprises an inspection standard and an inspection process; and the inspection distribution module distributes corresponding inspection personnel according to the inspection standard and the inspection process, provides a work station for the inspection personnel, and supports the inspection personnel to execute the inspection task according to the established standard, and the work station comprises all related information of the textile to be inspected, the inspection standard and the inspection process guidance. According to the invention, not only is the accuracy of inspection task generation significantly improved, but also each inspection work is ensured to highly meet the actual situation and market demand of textiles.

The invention provides a preoperative examination reservation method and system for an inpatient, and the method comprises the steps: obtaining the preoperative examination demand information and current remark information of the patient, the current reservation sorting information of each department, and the advancing duration between the current reservation sorting information and the departments, and carrying out the reservation of the preoperative examination on the basis of the preoperative examination demand information of the patient; identifying each target examination item needing to be examined by the patient and an estimated examination duration; identifying a target department corresponding to each target examination item, and identifying current target reservation information of each target examination item based on current reservation sorting information of each target department; and on the basis of the information, initial reservation information of each target examination item is planned through a reservation planning network, and the examination priority of the patient in each target examination item is identified on the basis of the current remark information of the patient, so that the target reservation information of each target examination item is obtained through adjustment through a unified examination scheduling strategy. By adopting the scheme, the intelligent appointment planning efficiency of the patient can be improved.

The application discloses a railway turnout curve-based inspection abnormality early warning method and system, relates to the technical field of track detection and early warning, and comprises the following steps: acquiring three-dimensional point cloud data of a railway turnout region track, performing voxelization processing and outlier filtering on the three-dimensional point cloud data, and obtaining a screening set; based on the screening set, generating a neighborhood point set through a preset neighborhood radius, performing convolution operation, outputting a reference track point cloud feature matrix, acquiring a current track point cloud feature matrix, taking the reference and current track point cloud feature matrices as inputs, and performing a parallel screening mechanism to determine a final reference point; based on the final reference point, solving track geometric offset error, performing clustering, generating a track center line using a cubic B-spline curve, performing turnout curve curvature analysis, and constructing a turnout curve parameter vector; and the application can realize real-time monitoring of track change trends and efficient and accurate inspection of railway turnout curves.

A new energy station safety inspection management system disclosed by the present invention comprises an intelligent control terminal and an inspection device, the intelligent control terminal comprises a task scheduling and management module, an intelligent data analysis platform and a remote monitoring center, and the inspection device and the task scheduling and management module are both in signal connection with the remote monitoring center. Through integration of advanced inspection equipment, an intelligent data analysis platform, a remote monitoring center and a task scheduling and management module, efficient, comprehensive and real-time inspection of new energy station facilities is realized. According to the system, the inspection efficiency and accuracy are improved, the labor cost is reduced, the safety and stability of the station facilities are enhanced, and a powerful guarantee is provided for sustainable development of the new energy industry.

The present invention relates to the field of operation control technology, and specifically to a textile shipment inspection operation control system, including a data acquisition module, an inspection task generation module, and an inspection allocation module, wherein: the data acquisition module is used to automatically collect basic information and shipment requirements of textiles to be inspected; the inspection task generation module dynamically generates inspection tasks according to the basic information and shipment requirements of textiles, including inspection standards and inspection processes; the inspection allocation module allocates corresponding inspection personnel according to the inspection standards and inspection processes, and provides the inspection personnel with a workstation, which includes all relevant information, inspection standards and inspection process guidance of the textiles to be inspected, and supports the inspection personnel to perform inspection tasks according to established standards. The present invention not only significantly improves the accuracy of inspection task generation, but also ensures that each inspection work is highly consistent with the actual situation and market demand of textiles.

The invention discloses an intrinsically safe and explosion-proof type coal mine underground explosion-proof autonomous flight unmanned aerial vehicle. The unmanned aerial vehicle comprises an unmanned aerial vehicle body; the pod is mounted on the unmanned aerial vehicle body; the pod comprises a frame and an explosion-proof cavity; the explosion-proof cavity is of a cuboid steel structure; the explosion-proof cavity is installed in the middle of the frame, and a hydraulic station system is installed in the explosion-proof cavity. The hydraulic station system comprises a pump, a hydraulic valve and a hydraulic power output pipeline; the pump is connected with the hydraulic power output pipeline; the hydraulic power output pipeline is also connected with a hydraulic motor; the hydraulic motor is used for receiving hydraulic power output by the hydraulic power output pipeline and driving propellers on the unmanned aerial vehicle body to rotate to execute flight operation. The unmanned aerial vehicle system adopts hydraulic pressure as a power source, potential safety hazards caused by electrical equipment are avoided, the unmanned aerial vehicle system is suitable for an underground coal mine anti-explosion environment, and safe flight of an unmanned aerial vehicle in an underground coal mine is ensured.

The invention belongs to the technical field of power systems. The photovoltaic panel cleaning inspection robot is characterized by comprising an unmanned aerial vehicle, a fixing frame, a camera, a thermal infrared imager, a brush device and a ground remote control device; the fixing frame is fixed below the unmanned aerial vehicle, the camera and the thermal infrared imager are fixedly installed below the fixing frame, and the brush device is fixedly installed in the middle of the lower portion of the fixing frame. The camera and the thermal infrared imager are in wireless communication connection with the ground remote control device through the communication module; the brush device comprises a motor, a coupler and a brush head, the motor is fixedly installed in the middle of the lower portion of the fixing frame, an output shaft of the motor is connected with the upper end of the brush head through the coupler, and soft bristles are arranged on the lower portion of the brush head. And efficient and accurate cleaning and polling of the photovoltaic panel can be realized.

In a system that determines degradation or a damage in a member or a structure from an image, in a case where a determination result on a degree of damage of a determination target and known prior information about determination of the degree of damage are compared with each other to determine whether a user needs to check the determination result. In a case where it is determined that checking by the user is required, information about contents of the comparison is presented to the user as auxiliary information related to checking work.

The utility model relates to an inspection jig and an inspection device. The inspection jig comprises a base; the bearing plate is positioned on the base and is configured to bear an object to be inspected; the object to be inspected comprises a camera area on a battery cover; the movable assembly is connected with the base and the bearing plate and can drive the bearing plate to move in at least one direction. According to the embodiment of the invention, smudginess and badness such as white points and broken filaments can be quickly and efficiently inspected for the plurality of cameras in the camera area on the battery cover at a time, the problem of repeated manual alignment is reduced, and the inspection efficiency and the detection rate of foreign matters on the plurality of cameras are effectively improved.