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检索条件"机构=Key Laboratory of Modern Measurement&Control Technology"

共 518 条记录，以下是51-60 订阅

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Study on the Monitoring and Analysis Method of the Working Efficiency of Torsional Impactors 29th

Study on the Monitoring and Analysis Method of the Working E...

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29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023

作者： Zhang, Tao Liu, Daixuan Xie, Xue Li, Yumei Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China

ISBN: (纸本)9783031425141

The torsional impactor converts the kinetic energy of the drilling fluid into fixed-frequency mechanical circumferential vibration, which can effectively suppress the drilling stick–slip phenomenon and increase the mechanical drilling speed. However, due to various factors such as its performance, formation lithology, and construction parameters such as weight of bit and displacement, it is not possible to effectively monitor and evaluate the working condition and performance of the torsional impactor in the well by relying on surface observation data. In this paper, the torsional impactor is connected to a near-bit measurement tool to form a torsional impactor monitoring system. By experimentally measuring the vibration, rotational speed, bit weight, and torque data of the torsional impactor during operation, the data features are extracted by combining the time domain and frequency domain analysis methods to monitor the operating impact frequency of the torsional impactor and analyze the influence of different drilling parameters on the working efficiency of the torsional impactor. The analysis results show that this study can achieve the monitoring of the working status and working efficiency of the downhole speed lifting tool, which is beneficial to the optimization design of the speed lifting tool and the improvement of the working efficiency. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Condition monitoring

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EQUIVALENT CONDUCTIVITY measurement METHODS FOR MIXED NON-HOMOGENEOUS MEDIA 10

EQUIVALENT CONDUCTIVITY MEASUREMENT METHODS FOR MIXED NON-HO...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Sun, Zhenzhen Su, Zhong Li, Fei Zhang, Zhicheng Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

Aiming at the problems of complicated electrode deployment and uncertain measurement range under a non-uniform medium in the "current-voltage" four-terminal method of conductivity measurement, a two-electrode equivalent conductivity measurement method based on the ground current field transport model is proposed. The "air-ground" layered medium ground current field transmission model is constructed, the equivalent conductivity model is further derived, the model error is corrected, and the simulation results show that the measurement accuracy of the uniform medium reaches 99%;the measurement results of the mixed non-uniform medium are in line with the theory;the dielectric conductivity increases firstly with the increase of the medium volume and then tends to be stable, and the measurement range of conductivity can be roughly determined accordingly. Under the two dry clay and soil environments, the measurement results are consistent with the soil EC value detector, which meets the application requirements. © The Institution of Engineering & technology 2024.

关键词： Electric conductivity measurement

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STUDY ON THE measurement METHOD OF GROUND CONDUCTIVITY OF INJECTED GROUND CURRENT FIELD 10

STUDY ON THE MEASUREMENT METHOD OF GROUND CONDUCTIVITY OF IN...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Ling, Zhongao Su, Zhong Zhao, Hui Wang, Yanke Cu, Sirui Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

The injected ground field technology is crucial for personnel localization and communication in complex geological environments, and accurate acquisition of ground conductivity information is a matter of communication quality and positioning accuracy. Aiming at the limitations of the traditional four-terminal electrode method of laying electrodes, this paper proposes a ground conductivity measurement method with non-linearly laid electrodes. The feasibility of the method was verified and analyzed in a numerical simulation environment. The results show that the method has good feasibility and accuracy, but attention should be paid to the effect of electrode asymmetry on the measurement results in the case of close distance between the detection electrode and the injection electrode. In the field measurement experiments, the standard deviation of the measured data of this method is less than 0.55 us/mm, and the maximum relative error is not more than 8.82%, which is able to meet the needs of the actual project, and provides a feasible solution for the measurement of conductivity under the complex geological environments, especially when the application of the traditional four-terminal electrode method is limited. © The Institution of Engineering & technology 2024.

关键词： FINITE ELEMENT NUMERICAL SIMULATION FOUR-TERMINAL ELECTRODE METHOD GROUND CONDUCTIVITY GROUND CURRENT FIELD NONLINEAR ELECTRODE PLACEMENT

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TRAVERSABILITY ESTIMATION BASED ON VEHICLE CHARACTERISTICS AND ENVIRONMENTAL GEOMETRY 10

TRAVERSABILITY ESTIMATION BASED ON VEHICLE CHARACTERISTICS A...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： He, Naixiang Su, Qinghua Wang, Liyong Song, Yue Wang, Haodong Zhang, Haoyuan Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology University Beijing China School of Mechanical Engineering and Vehicles Beijing Institute of Technology Beijing China

ISBN: (纸本)9781837242672

In unstructured environments, ensuring the safe operation of autonomous vehicles necessitates precise perception and thorough analysis of the surrounding terrain. Existing traversability analysis methods frequently rely on data from a single sensor and fail to integrate vehicle characteristics with environmental geometric features. This limitation results in weak environmental perception and poor performance in traversability analysis. To address these challenges, this paper proposes an innovative approach. By fusing data from multiple LiDAR sensors, the method constructs a locally dense traversability map, significantly enhancing the completeness and reliability of terrain ***, this approach combines vehicle characteristics with multiple environmental geometric factors to generate a traversability layer. This integration leads to a more holistic understanding of the terrain, improving the vehicle's ability to navigate complex environments safely. The proposed method demonstrates outstanding performance in traversability estimation, enabling a more accurate evaluation of traversability. This, in turn, provides a solid guarantee for the safe driving of autonomous vehicles in various challenging *** system underwent rigorous testing in unstructured environments to validate its effectiveness. The test results indicate that the elevation maps and traversability layer generated by this method exhibit significant improvements in both detail and accuracy. These advancements ensure that autonomous vehicles can better perceive and navigate their surroundings, ultimately contributing to safer and more reliable autonomous driving in unstructured and complex terrains. © The Institution of Engineering & technology 2024.

关键词： Tracked vehicles

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RESEARCH PROGRESS ON FAULT DIAGNOSIS OF MINING GEARBOX BASED ON CITESPACE 10

RESEARCH PROGRESS ON FAULT DIAGNOSIS OF MINING GEARBOX BASED...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Li, Zihan Jiang, Zhanglei Zha, Zhendong Li, Yunpeng Liu, Xiuli The Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science & Technology University Beijing China Shougang Mining Corporation Xingshan Iron Mine Tangshan China

ISBN: (纸本)9781837242672

Mining gearboxes are mechanical devices used to reduce rotational speed and increase torque, widely utilized in mining and heavy industrial equipment. To further understand the research progress and development trends in the field of fault diagnosis for mining gearboxes, a clustering and visualization analysis of English literature was conducted using the Web of Science database and the CiteSpace method. The analysis revealed that the performance and reliability of gearboxes have consistently been focal points for researchers, with a significant community of authors contributing to this field. The co-occurrence and clustering of keywords indicated that the research content is concentrated on fault diagnosis and optimization design. Moreover, the field is evolving towards intelligent diagnostics. Future development trends should focus on the introduction of data-driven and knowledge-guided artificial intelligence algorithm models and explainable intelligent diagnostic technologies. © The Institution of Engineering & technology 2024.

关键词： Mining equipment

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Research on Stability control of Distributed Drive Vehicles Under the Influence of Rough Road Surface 8th

Research on Stability Control of Distributed Drive Vehicles ...

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8th International Conference on Computing, control and Industrial Engineering, CCIE 2024

作者： Zhang, Yifan Li, Qing Zhang, Hao Fu, Guodong Beijing Key Laboratory of High Dynamic Navigation Technology Beijing100192 China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing100101 China School of Automation Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9789819769339

To improve the stability control capability of distributed electric drive vehicles on rough road surfaces, a hierarchical stability control strategy that considers road interference is proposed. In the upper-level controller, a new rollover energy stability index based on the energy method is designed. An enhanced sliding mode controller is employed to simultaneously control the yaw rate and the center-of-mass side slip angle as the control objectives. The sliding mode theory determines the additional yaw moment required for maintaining vehicle stability under road disturbances. The lower-level controller designs an optimal torque distribution strategy to allocate the yaw torque output, generated by the upper-level controller, to each wheel for achieving vehicle stability control. Joint simulations are conducted using CARSIM and MATLAB/Simulink to perform simulation experiments. The results demonstrate that this control method effectively enhances the stable steering control of distributed electric drive vehicles on rough roads, reduces the risk of vehicle sideslip and rollover during steering, and improves driving safety. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Level control

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LK-ORB-SLAM3: An RGB-D Visual SLAM Algorithm Fusing Optical Flow Tracking and Feature Matching 7

LK-ORB-SLAM3: An RGB-D Visual SLAM Algorithm Fusing Optical ...

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7th International Conference on Robotics, control and Automation Engineering, RCAE 2024

作者： Dai, Juan Sun, Shengqiang Liu, Jingwei Su, Zhong Beijing Key Laboratory of High Dynamic Navigation Technology Beijing100192 China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing100101 China Beijing Information Science & Technology University School of Automation Beijing100192 China

ISBN: (纸本)9798350355642

In response to the issue of poor real-time performance caused by the large computational load of feature-based methods, this paper proposed an RGB-D visual SLAM algorithm which integrates optical flow and feature-based methods. This algorithm combined optical flow with the feature-based method, effectively improving the real-time performance of the algorithm while maintaining high precision. Firstly, keyframes are matched using feature-based methods, and camera motion is computed by minimizing the reprojection error. For non-keyframes, keypoints are extracted without computing descriptors and tracked using the optical flow pyramid, and pose estimation is achieved by minimizing the photometric error. Secondly, a dual mechanism based on time and space is employed to execute keyframes insertion which ensures tracking stability. Additionally, an adaptive threshold algorithm is proposed to enhance tracking robustness in low-light environments. Experimental results on the TUM dataset indicated that, with comparable average localization accuracy, the proposed algorithm reduces average tracking cost by 37.19%, achieving real-time frame rates of up to 45 fps on mid-to-low-performance CPUs. © 2024 IEEE.

关键词： Real time systems

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Fault-tolerant control against actuator faults based on extended state observer for quadrotor UAV 3

Fault-tolerant control against actuator faults based on exte...

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2024 3rd International Conference on Energy Utilization and Automation, ICEUA 2024

作者： Liu, Jiali Li, Qing School of Automation Beijing Information Science and Technology University Beijing100192 China Beijing Key Laboratory of High Dynamic Navigation Technology Beijing100192 China Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing100192 China

A model predictive control (MPC) strategy is devised to handle the issue of multi-actuators partial failure faults of quadrotor vehicles. Firstly, considering a quadrotor system with actuator partial failure faults and unknown disturbances, the quadrotor dynamics model is analyzed and established. Then, the MPC attitude fault-tolerant controller is devised to transform the issue of controlling the attitude angle of a quadrotor into a quadratic programming solution problem, and the extended state observer (ESO) is devised to evaluate the faults and perturbations, which highly and greatly improves the system's suppression capability against disturbances. Finally, numerical simulation experiments demonstrate the scheme's fault-tolerance to actuator faults and its ability to suppress unknown perturbations, while the results of semi-physical simulation experiments also prove that the method is effective and feasible. © Published under licence by IOP Publishing Ltd.

关键词： Model predictive control

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LIGHTWEIGHT MARS SURFACE DETECTION ALGORITHM BASED ON IMPROVED YOLOV7 10

LIGHTWEIGHT MARS SURFACE DETECTION ALGORITHM BASED ON IMPROV...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Liu, Jingwei Dai, Juan Tian, Kaiyuan Sun, Kedong Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing China School of Automation Beijing Information Science & Technology University Beijing China

ISBN: (纸本)9781837242672

Mars surface detection is a challenging task that takes into account environmental factors such as terrain complexity, ground flatness, rock distribution, geological features, and storms. In this paper, we address the complexity of rock distribution on the surface of Mars and the resource-constrained difficulties of intelligences in performing the task, and propose the Yolov7-MFGC model on top of Yolov7, which solves the problems of existing rock detection models in terms of large computational load and number of parameters, as well as resource constraints in a specific environment. In this paper, we use a homemade Mars surface rock dataset for training and testing, and the test results show that Yolov7-MFGC improves the accuracy by 1.7%, reduces the amount of parameters by 49%, shrinks the model volume by 49.6%, and reduces the GFLOPS by 70% compared with Yolov7. Therefore, it can be concluded that Yolov7-MFGC is able to better perform the Mars surface rock detection task. © The Institution of Engineering & technology 2024.

关键词： Martian surface analysis

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COMPREHENSIVE TRANSMISSION SEQUENCE ANOMALY DETECTION BASED ON RFE-PAA AND BI-LSTM-CNN 10

COMPREHENSIVE TRANSMISSION SEQUENCE ANOMALY DETECTION BASED ...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Xing, Peixin Jia, Ran Chen, Tao Sun, Guangxin Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing University of Information Science and Technology Beijing100192 China Beijing Machinery and Equipment Research Institute Beijing100120 China

ISBN: (纸本)9781837242672

With the rapid advancement of industrial technology, the structure of transmission systems has become increasingly complex, posing more severe challenges to their real-time monitoring and anomaly detection systems. To address these challenges, this paper proposes a novel comprehensive transmission sequence anomaly detection method. Firstly, the method employs Recursive Feature Elimination (RFE) to select the most relevant temporal features for precise identification of the anomaly detection target variables. Subsequently, Piecewise Aggregate Approximation (PAA) is utilized for effective dimensionality reduction of the time series data to simplify the subsequent processing steps. Finally, by integrating Bidirectional Long Short-Term Memory (Bi-LSTM) and Convolutional Neural Network (CNN), a deep anomaly detection model is constructed to identify abnormal states efficiently. An example analysis of time series anomaly detection in transmission system oil leakage demonstrates the significant advantages of this method in improving the accuracy and efficiency of anomaly detection. The results indicate that this method can provide a new, reliable, and efficient technical solution for anomaly detection in complex transmission systems. © The Institution of Engineering & technology 2024.

关键词： Convolutional neural networks

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