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A comprehensive evaluation method for states adjustment priority of drilling process ⁎

IFAC-PapersOnLine 2020年第2期53卷 11956-11961页

作者： Yang Zhou Xin Chen Min Wu Weihua Cao School of Automation China University of Geosciences Wuhan 430074 China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074 China

Drilling is an important means of obtaining resources. It is important to determine appropriate drilling states adjustment priority to guide operation of the drilling. However, the priority of drilling states adjustment is difficult to determine because of the influence of multiple parameters. In this paper, a priority comprehensive evaluation method is developed to solve this problem. Firstly, support vector regression (SVR) method and long short-term memory (LSTM) neural network are introduced to build rate of penetration (ROP) prediction model and mud pit volume (MPV) prediction model, respectively. Then, the comprehensive evaluation vector is obtained by fuzzy comprehensive evaluation method based on analysis of formation drillability, rock characteristic, pump pressure variation, ROP and MPV fluctuations. Finally, the drilling states adjustment priority is determined by the principle of maximum membership and comprehensive analysis method. The simulation based on actual drilling data indicates that the proposed method can determine the adjustment priority and guide the operation of the drilling process.

关键词： Drilling process adjustment priority fuzzy comprehensive evaluation

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A dulcimer keys positioning method based on improved Roberts operator

A dulcimer keys positioning method based on improved Roberts...

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Chinese automation Congress (CAC)

作者： De Tang Ziying Zhang Xin Chen Zhe Xiao Mengxi Qin School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration School of Arts and Communication China University of Geosciences Wuhan China

ISBN: (纸本)9781665426480

It is important for the dulcimer robot to obtain the spatial coordinates of the dulcimer phonemes. However, the traditional manual positioning method is both inefficient and does not meet the intelligence requirements of modern robot. A visual positioning method based on improved Roberts operator is proposed in this paper on account of solving these problems, which can obtain the 3D coordinates of the dulcimer keys in a short time. First, an improved Roberts edge detection operator is designed, which fully detects the edge information of the target by transforming the scale. Further, this paper proposes a dulcimer keys positioning method by fusing RGB and depth image information. This method has a better positioning effect for dulcimer keys with complex background and small size. The experimental results show that the visual positioning method proposed in this paper can effectively identify and locate the dulcimer keys, and it has better robustness to the lighting environment.

关键词： Visualization Three-dimensional displays Robot kinematics Image edge detection Measurement uncertainty Lighting Manuals

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An oracle bone recognition method based on eigenvalue-based preprocessing and deep learning

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Signal, Image and Video Processing 2025年第8期19卷

作者： Zhou, Chun-Yang Liu, Zhen-Tao Lumo Road Hubei Wuhan430074 China Lumo Road Hubei Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Lumo Road Hubei Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Lumo Road Hubei Wuhan430074 China

Recognition of oracle bone characters is essential for accurately interpreting Chinese cultural history. However, existing recognition techniques are significantly challenged by severe noise present in the original images, leading to low recognition accuracy. To address this issue, this paper proposes an oracle bone recognition method based on eigenvalue-based preprocessing and deep learning. The preprocessing method computes four tailored eigenvalues-equivalent connectivity domain diameter, minimum connectivity domain distance, point feature analysis matrix, and point eigenvalue-based on the unique structural characteristics of oracle bone characters, enabling more effective noise reduction. Subsequently, an improved model, DC-YOLOv8, is introduced, which replaces the standard convolution module with a deformable convolution module in the high-level layers of the backbone to enhance adaptability to highly deformed characters. Additionally, the Convolutional Block Attention Module is incorporated into the head component to improve the model’s ability to extract key features in critical regions. Experimental results demonstrate that YOLOv8 achieves accuracy rates of 90.14% and 90.97% on two datasets after applying the proposed preprocessing method. Furthermore, the accuracy of DC-YOLOv8 reaches 95.11%, 91.74%, and 93.75% across three datasets. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Feature Selection

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The 110kV Live-Maintaining Robot control System Design for Substation Equipment in complex Working Conditions

The 110kV Live-Maintaining Robot Control System Design for S...

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Chinese control Conference (CCC)

作者： Chenyu Hu Xin Chen Chengyu Li Guangxian Huang Cheng Zhou Xu Jian School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Future Technology China University of Geosciences Wuhan China Distribution Department State Grid Hubei Electric Power Co. Ltd. Xianning Power Supply Company Xianning China Operations and Maintenance Department State Grid Hubei Electric Power Co. Ltd Xianning Xian'an District Power Supply Company Xianning China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China

Live-maintaining work is essential for continuous power supply to the substation. To improve the safety and efficiency of live-maintaining work, this paper proposes an equipotential live-maintaining robot system suitable for 110kV voltage levels. Considering the narrow space, complex working conditions and strong electromagnetic interference in substations, binocular vision technology, manipulator trajectory planning algorithm based on time-energy optimization, high voltage electromagnetic shielding technology are utilized to develop the system, and the live-maintaining robot is successfully applied in actual substation. By accurately identifying and locating the joint bolts and insulator, the robot system can achieve equipotential live-disassemble, live-assemble the joint bolts within 18 minutes and live-clean insulator within 5 minutes, demonstrating its the effectiveness and practicability.

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Forward Modeling of Shallow Transient Electromagnetic Method under Ramp Turn-off Current

Forward Modeling of Shallow Transient Electromagnetic Method...

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第三十九届中国控制会议

作者： Guangjun Wang Menglan Song School of Automation China University of Geosciences China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex System

In order to reduce the shallow detection blind zone and improve the shallow detection accuracy, this paper presents a shallow transient electromagnetic direct forward modeling method based on ramp turn-off current. The main idea is to obtain the spectrum of the ramp turn-off current signal by Fourier transform at first, then using Maxwell’s equation to solve the propagation process of the electromagnetic signal in the medium, thus obtaining the early signal of transient electromagnetic *** theory, this method is more suitable for the detection of shallow subsurface media than the ideal step signal. Simulation experiments on the ramp step signals with different turn-off times show that the complete ideal coincidence with the traditional ideal step signal when the turn-off time approaches zero, indicating the correctness of the algorithm. At the same time, compared with the current element superposition forward method, the forward curve obtained by this method is closer to the actual situation,and the calculation speed is much faster than the current element superposition method. The research results in this paper are of great value to reduce the detection blind zone, improve the detection accuracy and real-time performance of the transient electromagnetic detecting.

关键词： Ramp turn-off current shallow transient electromagnetic method forward modeling

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Improved Magnetic Coupling Resonance Wireless Power Transfer System

Improved Magnetic Coupling Resonance Wireless Power Transfer...

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第三十九届中国控制会议

作者： Guangjun Wang Jianhui Sun School of Automation China University of Geosciences China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex System

For the power supply of spaceborne cameras on two-body satellites, an improved magnetic coupling resonant wireless power transfer system(WPT) is proposed. By establishing the equivalent circuit model of WPT system, the influence of topology model and high-Q repeating coil on system performance is analyzed. Finally, the correctness of theory and analysis was verified by experiments. The experimental results show that when the transmission distance of the improved WPT system is 11 cm, the load can receive 18.66 W of power and the transmission efficiency is 69%. Compared with the traditional two-coil WPT system,the system has a significant improvement in transmission distance, transmission power, and transmission efficiency, and can meet the technical requirements of spaceborne cameras in transmission distance, transmission power and transmission efficiency.

关键词： Magnetic coupling resonance WPT Transmission distance Transmission power Transmission efficiency

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Influence of Temperature and Noise on Subthreshold Signal Propagation in Feedforward Neural Network

Research Square

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Research Square 2021年

作者： Yi, Ming Dai, Shiqi Lu, Lulu Wei, Zhouchao Zhu, Yuan School of Mathematics and Physics China University of Geosciences Hubei Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Hubei Wuhan430074 China Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Ministry of Education Fudan University Shanghai200433 China

Temperature is an important environmental factor that all creatures depend on. Under the appropriate temperature, the neural system shows good biological performance. Based on an improved Hodgkin-Huxley (HH) neuron model considering temperature and noise, the ten-layers pure excitatory feedforward neural network and the ten-layers excitatory-inhibitory (EI) neural network are constructed to study the subthreshold signal propagation. It’s found that increasing temperature can restrain the signal propagation, and raise the noises intensity threshold where the failed signal propagation can transform into succeed signal propagation. Under the large noise, the signal propagation in network in different temperatures exhibits different anti-noise capabilities. There exists the saturation value of interlayer connection probability, that is, the signal propagation maintains constant when interlayer connection probability beyond a certain value. Moreover, in EI network with large noise, the network’s intrinsic oscillation activity will completely cover subthreshold signal, and block the signal propagation. The jumping phenomenon in the value of fidelity, which measures the similarity between input signal and output signal, appears in both pure excitatory network and EI network. This paper provides potential value for understanding the regulation of both temperature and noise in information propagation in neural network. © 2021, CC BY.

关键词： Backpropagation

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PV Maximum Power-point Tracking Using Modified Particle Swarm Optimization under Partial Shading Conditions

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Chinese Journal of Electrical Engineering 2020年第4期6卷 106-121页

作者： Al-wesabi Ibrahim M.B.Shafik Min Ding Mohammad Abu Sarhan Zhijian Fang Ahmed.G.Alareqi Tariq Al’moqri Ayman.M.Al-Rassas School of Automation China University of GeoscienceWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China School of Oil and Natural Gas Engineering China University of GeosciencesWuhan 430074China School of Mathematics and Physics China University of GeoscienceWuhan 430074China School of Petroleum Engineering China University of PetroleumEast ChinaQingdao 266580China

A novel maximum power-point tracking approach is proposed based on studies investigating the output characteristics of photovoltaic(PV)systems under partial shading *** existence of partially shaded conditions leads to the presence of several peaks on PV curves,which decrease the efficiency of conventional ***,the proposed algorithm,which is based on the modified particle-swarm optimization(MPSO)technique,increases the output power of PV systems under such abnormal conditions and has a better performance compared to other *** proposed method is examined under several scenarios for partial shading condition and non-uniform irradiation levels using Matlab,and to investigate its effectiveness adequately,the results of the proposed method are compared with those of the neural network *** experimental results show that the proposed method can decrease the interference of the local maximum power-point to cause the PV system to operate at a global maximum *** efficiency of the MPSO is achieved with the least number of steady-state oscillations under partial shading conditions compared with the neural network method.

关键词： Photovoltaic(PV) maximum power point tracking(MPPT) step-up converter artificial neural networks(ANNs) particle-swarm optimization(PSO)

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Fixed-Time Synchronization of Fifth-Order Memristor Chaotic Systems

Fixed-Time Synchronization of Fifth-Order Memristor Chaotic ...

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Chinese automation Congress (CAC)

作者： Shan Jiang Leimin Wang Geliang Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

Based on the classical Chua's circuit, a chaotic circuit is constructed including double magnetron memristors. To study the fixed-time synchronization problem about the fifth-order memristor chaotic systems, a sliding-mode surface is proposed firstly. Then, a suitable controller is devised by using the sliding-mode control method. The sliding-mode surface is reached, then the stability on the surface also can be achieved within a fixed time thereafter. Moreover, the settling time for system synchronization is estimated, and numerical simulations confirm the correctness of the theory.

关键词： Synchronization Chaotic communication Memristors automation Sliding mode control Magnetic circuits Convergence

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EID-based Robust Stabilization for a Class of Nonlinear Uncertain Systems with Disturbances 38

EID-based Robust Stabilization for a Class of Nonlinear Unce...

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第三十八届中国控制会议

作者： Shengnan Tian Min Wu Luefeng Chen Jinhua She Manli Zhang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

ISBN: (纸本)9781728123295;9789881563972

This paper concerns robust stabilization for a class of nonlinear systems with uncertainties and disturbaces. The equivalent-input-disturbance(EID) approach is utilized to estimate the influence of nonlinearities and exogenous disturbances on the output of the system. A robust stability condition is derived in terms of linear matrix inequalities. Moreover, two parameters are used to tune the robustness of the system. Simulation results show that it is more effective to stabilize the system using the developed method than using the sliding-mode control(SMC) method.

关键词： Robust stabilization equivalent-input-disturbance nonlinear uncertain system disturbance linear matrix inequality(LMI)

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