180results about How to "Improve inspection effect" patented technology

The invention discloses a substation electrical equipment inspection system. The substation electrical equipment inspection system includes an aircraft, a triaxial aerial photography holder, an infrared imaging instrument, a camera and a control unit, wherein the triaxial aerial photography holder is installed on the aircraft, the infrared imaging instrument and the camera are arranged in the triaxial aerial photography holder, the triaxial aerial photography holder is provided with a holder movement control mechanism used for controlling the movement of the triaxial aerial photography holder, and the control unit includes an airborne main control unit and a ground control unit, wherein the airborne main control unit is connected with the holder movement control mechanism, the infrared imaging instrument and the camera respectively, and the airborne main control unit is connected with the ground control unit through a wireless communication device. According to the substation electrical equipment inspection system of the invention, the infrared imaging instrument and the camera are installed on the aircraft; acquisition angle positions of the infrared imaging instrument and the camera are adjusted through the triaxial aerial photography holder; infrared temperature measurement can be performed on substation electric equipment through the infrared imaging instrument; the appearance of the equipment is observed through the camera; and therefore, labor intensity can be greatly reduced, and inspection efficiency and accuracy can be improved.

The invention discloses an individual recognition system based on next generation sequencing and a kit and application of the kit. The individual recognition system comprises a primer sequence designed at 112 STR sites and 318 SNP sites, wherein the 112 STR sites include 53 autosome STR sites, 23 X chromosome STR sites, 35 Y chromosome STR sites and a gender determination site AMEL; the 318 SNP sites include 186 autosome SNP sites, 69 X chromosome SNP sites, 57 Y chromosome SNP sites and 6 blood group phenotype related SNP sites. The individual recognition system can obtain second-generation or three-generation genetic marker information on autosome, X chromosome and Y chromosome at the same time only through once amplification; thus, operation steps are reduced, experiment time is shortened, and the individual recognition system is suitable for DNA genotype detection of people in different countries and different areas all over the world.

The invention relates to an ultra-low-dose X-ray human body security inspection system with double exchange platforms, the system comprises an X-ray source, a collimation part, an inspection channel, an X-ray detector, an image acquisition and processing device, a control device and an operation console, wherein the inspection channel comprises an inlet, an outlet and a mobile inspection platform, the mobile inspection platform is a dual-circulation platform and comprises a first platform, a second platform, two upper tracks, two lower tracks, a platform driving mechanism, a platform lifting link mechanism and a base, the first platform and the second platform are respectively movably mounted on the upper tracks and the lower tracks and move along the reverse directions of the upper tracks and the lower tracks under the drive of the platform driving mechanism arranged on the outer side, and the upper and the lower positions of the first platform and the second platform on the lower tracks and the upper tracks are exchanged through the platform lifting link mechanism after running in place at each time. The ultra-low-dose X-ray human body security inspection system can double improve the inspection capacity and the customs clearance efficiency, have smooth running, good linearity and uniform movement speed and greatly improve the X-ray inspection imaging quality.

The invention discloses a dynamic on-demand inspection method based on big data analysis and association, which relates to the technical field of big data analysis. Through big data analysis of operation and maintenance, on-demand dynamic inspection and dynamic scheduling are established, and by optimizing the inspection period and management Mode, effectively allocate inspection resources, and at the same time, break down the barriers between inspection and fault handling; it mainly includes the following steps: 1) Establish an analysis model, 2) Generate dynamic inspection tasks, 3) Execute inspection tasks and 4) Query Inspection results. By adopting the invention, the inspection effect of the base station can be improved, and the barriers between the inspection fault processing can be broken, the cost efficiency can be improved, and the operation and maintenance management cost can be reduced.

The invention relates to a communication optical cable patrolling technique and particularly relates to a communication optical cable patrolling method based on radio frequency identification and GPS positioning. According to the communication optical cable patrolling method, a distribution map of an electric optical cable and a spatial distribution map of patrolling points are overlapped to establish an integrated patrolling GIS application map according to a GIS geographic information map of an electric power system, so that the operation is visualized, the information of the electric optical cable is complete and accurate, and the patrolling efficiency and the patrolling effect of the electric optical cable are greatly improved; by associating the electric optical cable with the corresponding patrolling points, the data settings for associating the patrolling points with the electric optical cable and filling addresses are omitted, and the patrolling efficiency is improved; an automatic selection technique on the patrolling points of the electric optical cable based on the combination of patrolling point identification and GIS spatial trend analysis is realized, and after a patroller patrols one point, the patrolling point closest to the current position is marked on the map by the system, so that the patrolling effect is improved, and a patrolling task can be efficiently and completely finished; meanwhile, by virtue of the combination of GPS and radio frequency identification information, the patrolling dead point is avoided, and the comprehensive patrolling effect is achieved.

The invention discloses a weakly centralized trusted data storage system and management method for write-check separation. The system comprises a central storage module and a client storage module. The central storage module comprises a central database and a block chain. The central database is used for storing complete data records, and the block chain is used for storing data fingerprints corresponding to the complete data records. The client storage module comprises a local database and a block hash chain, wherein the local database is used for storing a replica segment of a data fingerprint hash value, and the block hash chain is a data link formed by all the block blocks. The method combines centralized data storage with distributed, light client-side data verification, and thus integrates the efficiency and convenience of the centralized mode and the security and transparency of the decentralized mode.

The invention discloses a construction method of a pulmonary thromboembolism risk prediction model based on single nucleotide polymorphism, an SNP locus combination and application. The construction method of the prediction model comprises the following specific steps of S1, carrying out sample collection and gene detection; S2, carrying out data quality control and whole genome association analysis (GWAS); S3, carrying out meta analysis by combining the genome data of an external population; S4, screening an SNP locus combination with a prediction value; and S5, building a regression model, and carrying out training and testing. According to the prediction model, 48 SNP site combinations are obtained, at least one SNP site combination can be applied to pulmonary thromboembolism risk assessment or screening products, pulmonary thromboembolism risk prediction of Asian people, especially Chinese people can be achieved, and the detection method is simple, convenient and easy to implementand convenient to use clinically.

The present invention relates generally to improved photomask blanks used in photolithography for the manufacture of integrated circuits and other semiconductor devices, and more specifically, to the detection of defects in such photomasks after processing. In particular, the present invention is directed to a photomask blank having one or more intermediate layers made from materials having a higher extinction coefficient at the inspection tool wavelength than exposure tool wavelengths. The intermediate layer(s) are made from materials that absorb a sufficient amount of light to meet the optical requirements of inspection tools while at the same time transmit a sufficient amount of light to meet the optical requirements of exposure tools. As a result, the photomask improves inspection results of a photomask without sacrificing transmission properties during the semiconductor writing process.

The invention relates to an efficient inspection algorithm for small defects in high-resolution cloth images, which comprises the following steps: (1) collecting images through a camera, and labelImgtool images are used for labeling; 2) dividing that processed image into a training set and a t set, wherein the training set is used for training the inspection model, and adopting the t set to evaluating the performance of the inspection model; (3) inputting the training set image and the corresponding category information position information into the improved se- Resnext101 test model, training test model; (4) After training, adopting the inspection model to process the images in the test set to obtain the approximate position and the corresponding category of the defects. The method of the invention can realize the processing of the multi-scale characteristic map to the single-resolution input image, thereby processing the multi-scale image block, so as to adapt to a plurality of defects of different sizes, and greatly improve the detection accuracy and speed; and the method of the invention can realize the processing of the multi-scale characteristic map to the single-resolutioninput image. At that same time, the algorithm can obtain the approximate position of the defect on the image classification frame and deal with the situation that there are many defects in the image.

The invention discloses an offshore wind power intelligent inspection system which comprises a buoy and an unmanned aerial vehicle take-off and landing recovery platform. The side surface of the buoyis fixedly provided with a water jet propulsion device, and the water jet propulsion device is composed of a water jet propeller and a protective cover; the two sides of the upper surface of the buoyare connected with a deck through a front damping device and a rear damping device correspondingly, an underwater inspection device is fixedly installed on the lower surface of the deck, and the unmanned aerial vehicle take-off and landing recovery platform is fixedly installed in the middle of the upper surface of the deck; and an intelligent unmanned aerial vehicle is correspondingly arranged atthe upper end of the unmanned aerial vehicle take-off and landing recovery platform. According to the offshore wind power intelligent inspection system, a novel structural design is adopted so that the device can enable an intelligent unmanned aerial vehicle and an unmanned ship to work cooperatively, the detection range of equipment is expanded, the unmanned ship operates autonomously through awater jet propulsion structure, and the cruising efficiency is improved; and an anti-wave structure is arranged in the device, and the relative stability of the unmanned ship in the cruising process is improved.

The invention discloses a composite inspection system and method for a transformer substation. The system comprises an inspection robot subsystem, a dual-spectrum camera subsystem and a remote terminal, wherein the inspection robot subsystem is used for carrying out robot inspection; the dual-spectrum camera subsystem is used for fixed point inspection in special cases; and the remote terminal isused for monitoring robot operation. The method comprises the following steps: selecting an inspection mode needing to be operated on a computer in the remote terminal, and carrying out inspection robot inspection or camera fixed point inspection, wherein a camera inspection mode lies in that after a computer command is received by the dual-spectrum camera subsystem, detection data within a time quantum required by the computer are called out from data storage equipment in the remote terminal and are transmitted to the computer so as to complete inspection work at a set position in the transformer substation. The inspection capacity in natural hazards is increased, all-weather inspection for key positions is realized, and the emergency capacity is high.

The invention relates to a method and system for testing the saturation of a current transformer. The method comprises the following steps: reading a rated primary current, a rated secondary current, a rated secondary capacity and an accuracy limit factor; obtaining a load resistance, a winding resistance, an inflection point voltage and the maximum short-circuit current; according to the rated secondary current, rated secondary capacity, the accuracy limit factor and the winding resistance, calculating the secondary limit voltage value; according to the inflection point voltage, the maximum short-circuit current, the rated primary current, the rated secondary current, the load resistance and the winding resistance, calculating a transient factor corresponding to the maximum short-circuit current; according to the accuracy limit factor, the rated primary current and the rated secondary current, calculating a 80% rated accuracy primary limit current value of the current transformer; when the secondary limit voltage value is less than the inflection point voltage, the 80% rated accuracy primary limit current value is more than the maximum short-circuit current, and the transient factor is more than the preset factor, determining that the test on saturation of the current transformer is passed.

The present invention relates to a vision inspection apparatus and method using total reflection mirrors. The present invention provides a vision inspection apparatus using the total reflection mirrors comprising; a board position control module for fixing a printed circuit board; an independent lighting unit for primarily illuminating the printed circuit board; a photographing position control module for changing a reflection angle to required location coordinates of the printed circuit board; a camera for obtaining an image of the printed circuit board; a control unit including a motion controller, a lighting controller, and an to image processor to control the components; and a vision processing unit for reading the image obtained through the camera and judging whether the image is good or bad. The present invention has effects capable of obtaining a clear image of inspection objects by increasing a quantity of light entered into the camera through a stationary direct illuminating type of independent lighting unit, and accomplishing a precise inspection by preventing shadows from generating on the vision inspection of the object such as a printed circuit board on which different sizes of components are mounted.

The invention relates to a low signal-to-clutter ratio two-dimensional radar image target detection method. The method is characterized by through profile transformation, selecting a decomposition coefficient characteristic, restraining an influence of an inherent speckle noise of a SAR image and increasing a signal to noise ratio of the SAR image; extracting characteristic information of different directions and acquiring a target edge details and geometrical information; extracting the different decomposition coefficient characteristics so as to carry out fusion processing, improving a gap between a target characteristic value and a background characteristic value and increasing a target detection capability and a false alarm resistance capability. The invention discloses the target detection method which can be used to effectively process a low signal-to-clutter ratio SAR image; a direction decomposition number of each decomposition scale can be designed arbitrarily; detail information of a low-frequency characteristic sub-graph and a plurality of high-frequency characteristic sub-graphs can be acquired so that a small target, a hidden target and a weak scattering target which can not be detected by using a general method can be easily detected; a high false alarm resistance capability is possessed so that an inspection effect of the target is effectively increased.

The invention discloses automatic inspection equipment for rail vehicle roofs. The automatic inspection equipment for the rail vehicle roofs is characterized in that the automatic inspection equipmentcomprises an inspection robot (1), inspection tracks (2), a cross-track track (3), and a cross-track turntable (4); the cross-track track is disposed between the adjacent inspection tracks (2); the cross-track turntable (4) is arranged on a vertical and horizontal node; the inspection robot (1) is suspended and operates below the inspection track (2) to inspect the roofs of rail transit vehicles;the inspection robot (1) switches to other inspection tracks through the cross-track track (3) and the cross-track turntable (4). The automatic inspection equipment for the rail vehicle roofs has theadvantages of adopting the inspection robot to realize inspection of various equipment on a special track, such as the top of a vehicle body, pantograph, and ventilation and air conditioning, achieving cross-track inspection, enabling the same set of inspection equipment to be shared by multiple tracks, and achieving the purposes of improving inspection efficiency and effectiveness and reducing labor intensity.

The invention discloses an X-ray imaging analysis method and device based on AI and a readable storage medium. The analysis method comprises the steps that target scanning area information of an examinee is set, wherein the target scanning area information comprises a to-be-scanned target area; physiological parameters of the examinee are acquired; according to the set target scanning area information and the acquired physiological parameters of the examinee, actual camera shooting information of the examinee is acquired; whether or not the actual camera shooting information is matched with the target scanning area information is judged; the X-ray exposure hose, exposure energy range and shooting angle required by X-ray projection imaging are set; an exposure procedure of an X-ray source is started; an X-ray image of a 16-bit image form is acquired and displayed; the acquired X-ray image of the 16-bit image form is subjected to AI analysis. According to the analysis device, the technical threshold of a user is greatly lowered, the examination efficiency is effectively improved, and the fault and missing examination of diagnosis are reduced.

The invention belongs to the technical field of X-ray imaging, and discloses an AI-based X-ray imaging analysis method and a device and a readable storage medium. The AI-based X-ray imaging analysis device comprises a target area division module, an X-ray image setting module, an X-ray image acquisition module, a signal conversion module, an image judgment module, a main control module, an X-ray image enhancement module, a noise reduction module, a feature extraction module, an AI analysis module, an image storage module, an early warning module and a display module. According to the invention, the quality of X-ray images can be improved through the noise reduction module; detection blocks are stored behind information blocks and data blocks through the image storage module, so that a large amount of image data does not need to be read and written repeatedly when detection entries are increased, and the storage efficiency is improved; the phenomena of disorder of detection informationand loss of detection information are avoided, and the storage and use of images and the detection information are greatly facilitated.

The invention discloses an improved Offner optical system for detecting an ultra-large-aperture concave aspheric mirror. Light emitted by a detection device is transmitted through a first compensationlens and a second compensation lens to a to-be-detected concave aspheric mirror, self alignment is performed, and then the processed light returns. The optical system selects a large incident light aperture angle and a first compensation lens bears a large aspheric normal aberration, thereby greatly improving the compensation capability; and the aspheric spherical aberration balance is realized under the condition of a small aperture ratio. The ratio of the caliber of the compensator to the caliber of the detected aspheric surface is very small and is only 0.025. With a two-piece compensatorstructure, the number of compensating lenses is small; on the basis of a full spherical design, the design limitation that a compensating system is aspheric for checking a large-caliber aspheric surface is broken through; the scheme is simple and the machining period is shorter; the image quality of an inspection light path is excellent; the wave aberration reaches a PV value superior to 0.1 lambda; and the improved Offner optical system is suitable for high-precision aspheric surface shape machining. Because of the improved Offner testing, the aspheric mirror testing of 14-m ultra-large aperture and ultra-large relative aperture of 1 to 1.43 can be realized.