Abstract:As an important part of the automation industrial system, the mechanical arm robot plays an important role in service, exploration, automation engineering and other fields, and has broad application prospects. The traditional mechanical arm and Sobel edge detection methods have some shortcomings: 1. The PID method is separated from the ontology model and only carries out simple and multiple calculations according to the code of the steering engine, which is not stable enough and will take more time; 2. In some… Show more
“…It can be seen that the displacement and driving torque curves of the flexible arm with different-sized strings presented only slight differences. The results of the 2 1 2 and 2 7 8 inch strings were the most similar. Specifically, the impact on the flexible arm inevitably increased as the string size increased.…”
Section: Lifting Characteristics With Different-sized Stringsmentioning
confidence: 72%
“…In this simulation, arm 3 and block 3 were selected. We adopted strings of 2 1 2 , 2 7 8 , and 4 1 2 inches with 15 s of lifting time and the trapezoidal curve drive to investigate their effect on the lifting characteristics. The displacement and driving torque distributions for different sizes of string clamped the mechanical arm are shown in Figures 18 and 19, respectively.…”
Section: Lifting Characteristics With Different-sized Stringsmentioning
confidence: 99%
“…The characteristics of this kind of equipment are a large work scope and harsh environment. Because the length of the large arm is related to the derrick, the elastic deformation, vibration, and parameters of the arm in the "flexible macro-rigid micro" system [1,2] during the rotation operation will affect the movement accuracy, response speed, controllability, etc., which is the core issue of pipe string moving devices [3][4][5].…”
During the drilling and repairing of wells, the pipe string transfer equipment has a high work frequency. The movement accuracy, response speed, and controllability of the equipment have significant impacts on the stability. In this paper, we propose an analysis method of mechanical arms to lift pipe strings using a rigid–flexible coupling model. With the mechanical arm as a flexible body and the mechanical hand as a rigid body, a numerical calculation model of the rigid-flexible coupling of the system was established based on the Lagrangian equation. ADAMS and Ansys software were applied to numerical simulations of this system to investigate the lifting characteristics, the influence of the operation parameters and structure parameters, and the contact collision analysis of the mechanical arm. The conditions of rigid–flexible modeling for the multi-body system and the main factors affecting the vibration characteristics of the flexible arm are described. We conclude that the arm should be modeled as a rigid body if the structure parameter [w/l] (elastic deformation/length) is between 1/650 and 1/1000, the system can be modeled as a rigid–flexible coupling if [w/l] is between 1/400 and 1/650, and the arm should be modeled as a flexible body and the influence and compensation of the control method should be considered if [w/l] is between 1/250 and 1/400.
“…It can be seen that the displacement and driving torque curves of the flexible arm with different-sized strings presented only slight differences. The results of the 2 1 2 and 2 7 8 inch strings were the most similar. Specifically, the impact on the flexible arm inevitably increased as the string size increased.…”
Section: Lifting Characteristics With Different-sized Stringsmentioning
confidence: 72%
“…In this simulation, arm 3 and block 3 were selected. We adopted strings of 2 1 2 , 2 7 8 , and 4 1 2 inches with 15 s of lifting time and the trapezoidal curve drive to investigate their effect on the lifting characteristics. The displacement and driving torque distributions for different sizes of string clamped the mechanical arm are shown in Figures 18 and 19, respectively.…”
Section: Lifting Characteristics With Different-sized Stringsmentioning
confidence: 99%
“…The characteristics of this kind of equipment are a large work scope and harsh environment. Because the length of the large arm is related to the derrick, the elastic deformation, vibration, and parameters of the arm in the "flexible macro-rigid micro" system [1,2] during the rotation operation will affect the movement accuracy, response speed, controllability, etc., which is the core issue of pipe string moving devices [3][4][5].…”
During the drilling and repairing of wells, the pipe string transfer equipment has a high work frequency. The movement accuracy, response speed, and controllability of the equipment have significant impacts on the stability. In this paper, we propose an analysis method of mechanical arms to lift pipe strings using a rigid–flexible coupling model. With the mechanical arm as a flexible body and the mechanical hand as a rigid body, a numerical calculation model of the rigid-flexible coupling of the system was established based on the Lagrangian equation. ADAMS and Ansys software were applied to numerical simulations of this system to investigate the lifting characteristics, the influence of the operation parameters and structure parameters, and the contact collision analysis of the mechanical arm. The conditions of rigid–flexible modeling for the multi-body system and the main factors affecting the vibration characteristics of the flexible arm are described. We conclude that the arm should be modeled as a rigid body if the structure parameter [w/l] (elastic deformation/length) is between 1/650 and 1/1000, the system can be modeled as a rigid–flexible coupling if [w/l] is between 1/400 and 1/650, and the arm should be modeled as a flexible body and the influence and compensation of the control method should be considered if [w/l] is between 1/250 and 1/400.
“…In computer vision-based applications, canny edge detection is used to extract useful structural information from different objects which reduces the amount of data to be processed [14], and a canny detector is used to get the accurate information of the target object [15]. In this paper, a canny edge detector is used where the input image is converted to a binary image.…”
Section: Morphological Transformation With Canny Edge Detectormentioning
confidence: 99%
“…The threshold would be more difficult due to the low contrast problem, it is solved by the pre-processing processes by Gaussian filter and histogram equalization for the input images. After image pre-processing, setting the value of the highest pixel is done using (15). The ( 16) is used to determine where the neighboring pixels are linked to the hot pixel, assigning them as seed pixels 𝑆 𝑃 , or to the background pixels 𝐵 𝑃 .…”
Section: Hot Pixels Seeds Based For Segmentationmentioning
Real-time inspections for the large-scale solar system may take a long time to get the hazard situations for any failures that may take place in the solar panels normal operations, where prior hazards detection is important. Reducing the execution time and improving the system’s performance are the ultimate goals of multiprocessing or multicore systems. Real-time video processing and analysis from two camcorders, thermal and charge-coupling devices (CCD), mounted on a drone compose the embedded system being proposed for solar panels inspection. The inspection method needs more time for capturing and processing the frames and detecting the faulty panels. The system can determine the longitude and latitude of the defect position information in real-time. In this work, we investigate parallel processing for the image processing operations which reduces the processing time for the inspection systems. The results show a super-linear speedup for real-time condition monitoring in large-scale solar systems. Using the multiprocessing module in Python, we execute fault detection algorithms using streamed frames from both video cameras. The experimental results show a super-linear speedup for thermal and CCD video processing, the execution time is efficiently reduced with an average of 3.1 times and 6.3 times using 2 processes and 4 processes respectively.
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