A Mechanical-Hydraulic Virtual Prototype Co-Simulation Model for a Seabed Remotely Operated Vehicle

Abstract

In this study, a virtual prototype model of a seabed tracked remotely operated vehicle (ROV) is established using the program RecurDyn/Track with the integration of a user-defined subroutine for a sediment terramechanics model. Laboratory tests for evaluating the mobility performances of a small tracked vehicle are conducted to validate the computational accuracy of the new virtual prototype model. A simulation model of a load independent flow distribution (LUDV) hydraulic control system for the tracked ROV is built using the program AMESim. Based on the combined RecurDyn-AMESim interface program design, a new virtual prototype co-simulation model for the mechanical-hydraulic system of the tracked ROV is developed. Co-simulations are conducted to analyse the dynamic performances of the motor actuators in the LUDV hydraulic system and the tracked ROV mobility performances. The co-simulation results demonstrate that the developed virtual prototype model of the ROV mechanical system can accurately simulate the load of the hydraulic control system, while the LUDV hydraulic controlling method can effectively improve the operational performance of a tracked ROV multi-actuator system. This research provides an effective and valuable co-simulation modelling method for mechanical-hydraulic system optimization, performance evaluation and operational control of the seabed tracked ROV.

Application of Video Scene Semantic Recognition Technology in Smart Video

“…For video flow, Shot Boundary Detection is conducted first and the video is segmented into short takes with video segmentation algorithms, such as pixel algorithm, histogram algorithm, X2 histogram algorithm, X2 histogram block algorithm and contour a boundary ROC (Rate of Change) algorithm; then, the original motion trails of video object are extracted by use of moving object tracking algorithms, such as mean shift algorithm, object tracking based on Kalman filter, object tracking based on particle filter and algorithm based on modeling of moving object, with the longest trail to be processed and information extracted therefrom, including motion direction and slop of motion trail curve. At last, the said motion action will be marked by hand to extract the video verb semantic label [14][15][16][17][18][19][20][21]. Also, some other researchers proposed that semantic clews of multiple event recognitions should be fused by means of a deep-level learning strategy so that the issue of recognition would be solved by answering how to jointly analyse human actions, objects and scenes.…”

“…Also, some other researchers proposed that semantic clews of multiple event recognitions should be fused by means of a deep-level learning strategy so that the issue of recognition would be solved by answering how to jointly analyse human actions, objects and scenes. That is to say, first, each type of semantic features is transmitted to an abstract path of multi-level features, with one fusion level to connect all different paths, accordingly to learn the mutually affecting relevancy of semantic clews via unsupervised transchannel coding; lastly, the question of how semantic clews compose one event and a group of events is answered by fine tuning of large-amplitude objects on the architecture [21][22][23][24]. This paper adopts a 3-layer semantic recognition approach based on key frame extraction.…”

Pose Adjusting Simulation of Hydraulic Support Based on Mechanical-Electrical-Hydraulic Coordination

“…The coupling simulation method using multiple software programs has been widely applied to solve multi-domain coupling problems, e.g. continuous miners [16], robots [17], variable displacement pumps [18], and vehicles [19,20]. However, only few literature reports refer to three or more domain co-simulation problems [21].…”

Analysis of Comfort Parameters in Special Purpose Vehicles from Technological Development Point of View

“…For these reasons, especially due to their use in complex driving and weather conditions, it is necessary that the manufacturers of such vehicles devote special attention to testing and adjusting the models to comply with the existing standards during the design and development of test models [4], in order to ensure that the user's health is protected. A specific problem related to off-road vehicles originates from the fact that they have long work life (over 50 years), which may cause them to fall behind the automotive industry standards which are constantly being changed.…”