Abstract: A pipeline three-dimensional curve measuring robot and implementation method therefor. The measuring robot includes an electronic bin, sliding rods, wheel bracket, walking wheels arranged on wheel bracket, odometer wheels arranged on sliding rod on one side and encoders; the electronic bin is internally provided with an inertia measurement unit, collection control module and power supply module; when measuring, the measuring robot is controlled to move back and forth in a pipeline collecting measuring data; comparing measured data with three-dimensional curve data at pipeline reference moment to obtain deformation quantity of pipeline three-dimensional curve.

Abstract: Disclosed are a method for simultaneous localization and mapping, device, system and storage medium.

Abstract: A two-gear bridge driving system. A speed changer of the two-gear bridge driving system includes a dual-planetary gear mechanism, the dual-planetary gear mechanism has only one sun gear, the sun gear is fixed with respect to a speed changer input gear, and the sun gear and one planetary gear in the dual gear are always in an engagement state. Compared with the two-gear bridge driving system in the prior art, the two-gear bridge driving system provided here is simpler in structure, lower in costs and lower in weight, and good NVH control is easily achieved. Also provided is a vehicle including the two-gear bridge driving system.

Abstract: Provided are an image fusion classification method and device. The method includes that: a three-dimensional weight matrix of a hyperspectral image is obtained by use of a Support Vector Machine (SVM) classifier (101); superpixel segmentation is performed on the hyperspectral image to obtain K superpixel images, K being a positive integer (102); the three-dimensional weight matrix is regularized by use of a superpixel-image-based segmentation method to obtain a regular matrix (103); and a class that a sample belongs to is determined according to the regular matrix (104).

Abstract: A two-gear bridge driving system. A speed changer of the two-gear bridge driving system includes a dual-planetary gear mechanism, the dual-planetary gear mechanism has only one sun gear, the sun gear is fixed with respect to a speed changer input gear, and the sun gear and one planetary gear in the dual gear are always in an engagement state. Compared with the two-gear bridge driving system in the prior art, the two-gear bridge driving system provided here is simpler in structure, lower in costs and lower in weight, and good NVH control is easily achieved. Also provided is a vehicle including the two-gear bridge driving system.

Abstract: The present disclosure provides a system and a method for measuring hot-spot temperature of a transformer, wherein the measurement system comprises a processor, an oscilloscope and a plurality of ultrasonic sensors, wherein the ultrasonic sensors are oppositely arranged on an outer wall of a transformer oil tank and electrically connected with the oscilloscope, and the oscilloscope is electrically connected with the processor; the ultrasonic sensors receive signals transmitted by the oppositely arranged ultrasonic sensors and transmit them to the oscilloscope. The method, by applying an ultrasonic wave to measure the hot-spot temperature of a transformer in real time, solves the problems that methods in the prior art are susceptible to the external environment, have short service life and cannot correctly measure the internal temperature of the transformer.

Abstract: Provided are an image fusion classification method and device. The method includes that: a three-dimensional weight matrix of a hyperspectral image is obtained by use of a Support Vector Machine (SVM) classifier (101); superpixel segmentation is performed on the hyperspectral image to obtain K superpixel images, K being a positive integer (102); the three-dimensional weight matrix is regularized by use of a superpixel-image-based segmentation method to obtain a regular matrix (103); and a class that a sample belongs to is determined according to the regular matrix (104).

Abstract: A method including: putting a pre-set detection apparatus in a pipeline to be detected, collecting, every pre-set time, movement information about and pipeline image thereof; at each collection moment, calculating, according to movement information collected, first position where detection apparatus is located; calculating, according to pipeline image photographed, second position where detection apparatus is located; determining, according to first position and second position, position where detection apparatus is located so as to position pipeline according to position at each collection moment. By performing position information extraction by means of inertial navigation and video combined positioning algorithm, accurate positioning of pipeline position is realized, so as to accurately position crack inside pipeline according to photographed image and positioned pipeline position.

Abstract: A pipeline three-dimensional curve measuring robot and implementation method therefor. The measuring robot includes an electronic bin, sliding rods, wheel bracket, walking wheels arranged on wheel bracket, odometer wheels arranged on sliding rod on one side and encoders; the electronic bin is internally provided with an inertia measurement unit, collection control module and power supply module; when measuring, the measuring robot is controlled to move back and forth in a pipeline collecting measuring data; comparing measured data with three-dimensional curve data at pipeline reference moment to obtain deformation quantity of pipeline three-dimensional curve.

Abstract: A method for extracting a surface deformation feature of an object based on linear scanning three-dimensional point cloud is disclosed comprising: performing data acquisition by using a three-dimensional measurement sensor based on line structured light, and obtaining a three-dimensional point cloud data of a surface of the object after data pre-processing; eliminating influences of abnormal data and textures on extraction of sectional main profiles, to accurately obtain the sectional main profiles of the object; obtaining a binary image based on deformation feature points extracted from sections, in conjunction with a deformation feature knowledge base, and preliminarily positioning a deformation region based on sub-block images to obtain a set of target morphology sub-blocks; then performing a morphological operation on deformation feature points in the set of target morphology sub-blocks, and generating a deformation region of confidence ROC, and then performing a region growth to extract a target using ge

Abstract: A method including: putting a pre-set detection apparatus in a pipeline to be detected, collecting, every pre-set time, movement information about and pipeline image thereof; at each collection moment, calculating, according to movement information collected, first position where detection apparatus is located; calculating, according to pipeline image photographed, second position where detection apparatus is located; determining, according to first position and second position, position where detection apparatus is located so as to position pipeline according to position at each collection moment. By performing position information extraction by means of inertial navigation and video combined positioning algorithm, accurate positioning of pipeline position is realized, so as to accurately position crack inside pipeline according to photographed image and positioned pipeline position.

Abstract: A three-dimensional measurement sensor based on line structured light, comprising a sensing head and a controller. The sensing head is used for collecting section data and attitude information of its own, and matching the section data with the self attitude information. The sensing head comprises a three-dimensional camera, an attitude sensor, a laser and a control sub-board, wherein the three-dimensional camera is installed at a certain angle relative to the laser, and acquires elevation and grey information about an object surface corresponding to laser rays using a triangulation principle. The attitude sensor, the three-dimensional camera and the laser are installed on the same rigid plane, and the attitude sensor reflects measurement attitude of the three-dimensional camera and the laser in real time. The controller is used for measuring and controlling the sensing head, performing data processing transmission and supporting external control.

Abstract: The present invention discloses a stepwise refinement detection method for pavement cracks, processing pavement images comprising the following primary steps: extracting and processing marking lines, extracting ROA, adaptive threshold segmentation based on ROA, extracting ROC and region growth based on ROC direction feature weighting.

Abstract: A three-dimensional measurement sensor based on line structured light, comprising a sensing head and a controller. The sensing head is used for collecting section data and attitude information of its own, and matching the section data with the self attitude information. The sensing head comprises a three-dimensional camera, an attitude sensor, a laser and a control sub-board, wherein the three-dimensional camera is installed at a certain angle relative to the laser, and acquires elevation and grey information about an object surface corresponding to laser rays using a triangulation principle. The attitude sensor, the three-dimensional camera and the laser are installed on the same rigid plane, and the attitude sensor reflects measurement attitude of the three-dimensional camera and the laser in real time. The controller is used for measuring and controlling the sensing head, performing data processing transmission and supporting external control.

Abstract: A method for extracting a surface deformation feature of an object based on linear scanning three-dimensional point cloud is disclosed comprising: performing data acquisition by using a three-dimensional measurement sensor based on line structured light, and obtaining a three-dimensional point cloud data of a surface of the object after data pre-processing; eliminating influences of abnormal data and textures on extraction of sectional main profiles, to accurately obtain the sectional main profiles of the object; obtaining a binary image based on deformation feature points extracted from sections, in conjunction with a deformation feature knowledge base, and preliminarily positioning a deformation region based on sub-block images to obtain a set of target morphology sub-blocks; then performing a morphological operation on deformation feature points in the set of target morphology sub-blocks, and generating a deformation region of confidence ROC, and then performing a region growth to extract a target using ge

Abstract: The present invention discloses a stepwise refinement detection method for pavement cracks, processing pavement images comprising the following primary steps: extracting and processing marking lines, extracting ROA, adaptive threshold segmentation based on ROA, extracting ROC and region growth based on ROC direction feature weighting.