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Installation technology of counterweight system of Three Gorges Project ship lift

Cai Chunhua and Luo Bin

Strategic Study of CAE 2013, Volume 15, Issue 9,   Pages 70-76

Abstract:

The installation technology of counterweight system of Three Gorges Project ship lift has been studied in this paper based on the construction requirements of counterweight system and construction environment. The overall installation procedure of counterweight system has been put forward which are suitable for Three Gorges Project. Then the construction processes and construction methods of balance chain guide installation, balancing pulley installation, main hoist rope installation and counterweight installation have been described in detail. At the same time, the installation technology system of counterweight system is set up. This construction technology effectively solves many problems faced in the installation process of counterweight system of Three Gorges Project ship lift, such as large scale project, large component size, high accuracy requirements, high installation elevation, difficult construction, construction with wide distribution, complex construction conditions, etc. Meanwhile, the technology provides a good reference for similar projects at home and abroad.

Keywords： Three Gorges Project ship lift     counterweight system     installation procedure     installation technology    

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Anewhierarchical software architecture towards safety-critical aspects of a drone system Special Feature on Intelligent Robats

Xiao-rui ZHU, Chen LIANG, Zhen-guo YIN, Zhong SHAO, Meng-qi LIU, Hao CHEN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 353-362 doi: 10.1631/FITEE.1800636

Abstract:

A new hierarchical software architecture is proposed to improve the safety and reliability of a safetycritical drone system from the perspective of its source code. The proposed architecture uses formal verification methods to ensure that the implementation of each module satisfies its expected design specification, so that it prevents a drone from crashing due to unexpected software failures. This study builds on top of a formally verified operating system kernel, certified kit operating system (CertiKOS). Since device drivers are considered the most important parts affecting the safety of the drone system, we focus mainly on verifying bus drivers such as the serial peripheral interface and the inter-integrated circuit drivers in a drone system using a rigorous formal verification method. Experiments have been carried out to demonstrate the improvement in reliability in case of device anomalies.

Keywords： Safety-critical     Drone     Software architecture     Formal verification    

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Fall preventive gait trajectory planning of a lower limb rehabilitation exoskeleton based on capture point theory Research Article

Mei-ying Deng, Zhang-yi Ma, Ying-nan Wang, Han-song Wang, Yi-bing Zhao, Qian-xiao Wei, Wei Yang, Can-jun Yang,ycj@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 10,   Pages 1322-1330 doi: 10.1631/FITEE.1800777

Abstract: We study the balance problem caused by forward leaning of the wearer’s upper body during rehabilitation training with a lower limb rehabilitation exoskeleton. The instantaneous is obtained by modeling the human-exoskeleton system and using the theory. By comparing the stability region with instantaneous s of different gait phases, the balancing characteristics of different gait phases and changes to the equilibrium state in the gait process are analyzed. Based on a model of the human-exoskeleton system and the condition of balance of different phases, a trajectory correction strategy is proposed for the instability of the human-exoskeleton system caused by forward leaning of the wearer’s upper body. Finally, the reliability of the trajectory correction strategy is verified by carrying out experiments on the Zhejiang University . The proposed trajectory correction strategy can respond to forward leaning of the upper body in a timely manner. Additionally, in the process of the center of gravity transferred from a double-support phase to a single-support phase, the ratio of gait cycle to zero moment point transfer is reduced correspondingly, and the gait stability is improved.

Keywords： 下肢机器人；捕获点；步态相位；人机系统平衡    

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Inspection System of Carbonate Equilibrium for Groundwater

Liu Jiangang,Zheng Kexun,Fu Weining,Wu Shunhua

Strategic Study of CAE 2003, Volume 5, Issue 9,   Pages 61-64

Abstract:

The paper discusses the relationship between three forms of carbonate as H2C03, HC03- and CC32- and water pH value when the groundwater temperature and partial pressure of C02 vary so as to evaluate the reliability of water quality. It finds out that the demarcation point of pH that is called pHO when the quantity of HCO3- reaches maximum, is from 7.92 to 8.60 in water and from 8.28 to 8.57 in open groundwater system of carbonate rock when pressure of CO2 in groundwater varies from 1 to 105 Pa and the groundwater temperature varies from 0 to 30℃ . pHO will be lower and lower with groundwater temperature being higher and higher. The pHO in groundwatar of limestone is almost equal to that of dolomite limestone owing to the solubility of dolomite is very low to calcite. So features of carbonate equilibrium in carbonate rock depend on component of calcite.

Keywords： carbonate rock     groundwater     carbonate equilibrium     pH value    

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Affine formation tracking control of unmanned aerial vehicles Research Articles

Huiming LI, Hao CHEN, Xiangke WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6,   Pages 909-919 doi: 10.1631/FITEE.2100109

Abstract:

The tracking problem for (UAVs) is considered in this paper, where fixed-wing UAVs are modeled as unicycle-type agents with asymmetrical speed constraints. A group of UAVs are required to generate and track a time-varying target formation obtained by affinely transforming a nominal formation. To handle this problem, a distributed control law based on stress matrix is proposed under the leader-follower control scheme. It is proved, theoretically, that followers can converge to the desired positions and achieve affine transformations while tracking diverse trajectories. Furthermore, a saturated control strategy is proposed to meet the speed constraints of fixed-wing UAVs, and numerical simulations are executed to verify the effectiveness of our proposed tracking control strategy in improving maneuverability.

Keywords： Affine formation     Fixed-wing unmanned aerial vehicles     Multi-agent system    

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Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems Research Article

Fei-Yue WANG, Jianbo GUO, Guangquan BU, Jun Jason ZHANG,jun.zhang.ee@whu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1142-1157 doi: 10.1631/FITEE.2100418

Abstract: In this paper, we aim to illustrate the concept of mutually trustworthy (HM-KA) as the technical mechanism of hybrid augmented intelligence (HAI) based complex system cognition, management, and control (CMC). We describe the historical development of complex system science and analyze the limitations of human intelligence and machine intelligence. The need for using human-machine HAI in is then explained in detail. The concept of “mutually trustworthy HM-KA” mechanism is proposed to tackle the CMC challenge, and its technical procedure and pathway are demonstrated using an example of corrective control in . It is expected that the proposed mutually trustworthy HM-KA concept can provide a novel and canonical mechanism and benefit real-world practices of complex system CMC.

Keywords： Complex systems     Human-machine knowledge automation     Parallel systems     Bulk power grid dispatch     Artificialintelligence     Internet of Minds (IoM)    

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Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence Techniques Article

Mutiara Syifa, Sung-Jae Park, Chang-Wook Lee

Engineering 2020, Volume 6, Issue 8,   Pages 919-926 doi: 10.1016/j.eng.2020.07.001

Abstract:

Pine wilt disease (PWD) has recently caused substantial pine tree losses in Republic of Korea. PWD is considered a severe problem due to the importance of pine trees to Korean people, so this problem must be handled appropriately. Previously, we examined the history of PWD and found that it had already spread to some regions of Republic of Korea; these became our study area. Early detection of PWD is required. We used drone remote sensing techniques to detect trees with similar symptoms to trees infected with PWD. Drone remote sensing was employed because it yields high-quality images and can easily reach the locations of pine trees. To differentiate healthy pine trees from those with PWD, we produced a land cover (LC) map from drone images collected from the villages of Anbi and Wonchang by classifying them using two classifier methods, i.e., artificial neural network (ANN) and support vector machine (SVM). Furthermore, compared the accuracy of two types of Global Positioning System (GPS) data, collected using drone and hand-held devices, for identifying the locations of trees with PWD. We then divided the drone images into six LC classes for each study area and found that the SVM was more accurate than the ANN at classifying trees with PWD. In Anbi, the SVM had an overall accuracy of 94.13%, which is 6.7% higher than the overall accuracy of the ANN, which was 87.43%. We obtained similar results in Wonchang, for which the accuracy of the SVM and ANN was 86.59% and 79.33%, respectively. In terms of the GPS data, we used two type of hand-held GPS device. GPS device 1 is corrected by referring to the benchmarks sited on both locations, while the GPS device 2 is uncorrected device which used the default setting of the GPS only. The data collected from hand-held GPS device 1 was better than those collected using hand-held GPS device 2 in Wonchang. However, in Anbi, we obtained better results from GPS device 2 than from GPS device 1. In Anbi, the error in the data from GPS device 1 was 7.08 m, while that of the GPS device 2 data was 0.14 m. In conclusion, both classifiers can distinguish between healthy trees and those with PWD based on LC data. LC data can also be used for other types of classification. There were some differences between the hand-held and drone GPS datasets from both areas.

Keywords： Pine wilt disease     Drone remote sensing     Artificial neural network     Support vector machine     Global positioning system    

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The Application of Local Search for Maximum Area to High Pressure Phase Equilibrium

Guo Jizhi,Liu Tao,Yuan Weikang

Strategic Study of CAE 2001, Volume 3, Issue 3,   Pages 56-60

Abstract:

The area method (AM) that minimizes the Gibbs energy by integrating, instead of differentiating, the Gibbs energy curve provides a sufficient condition for global Gibbs energy minimization rather than only a necessary condition provided by the flash equilibrium calculation method. However, it uses the method of exhaustion to search the positive maximum area, therefore requires a long calculation time. Here this method is modified as LSAM (local search area method), which is a repeated search shrinking vicinities of the liquid and gas equilibrium composition points located by previous rough search. The calculation time decreases to one over several thousands of AM’s or less. The experimental equilibrium data of benzene and propylene are used to demonstrate the merit of this method.

Keywords： Gibbs energy     VLE high pressure     VLE calculation method     benzene     propylene    

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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4,   Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract:

With the popularization of the Internet, permeation of sensor networks, emergence of big data, increase in size of the information community, and interlinking and fusion of data and information throughout human society, physical space, and cyberspace, the information environment related to the current development of artificial intelligence (AI) has profoundly changed. AI faces important adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage: AI 2.0. This paper briefly reviews the 60-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0 along with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0 development. Furthermore, based on combined social demands and the information environment that exists in relation to Chinese development, suggestions on the development of AI 2.0 are given.

Keywords： Artificial intelligence 2.0     Big data     Crowd intelligence     Cross-media     Human-machine     hybrid-augmented     intelligence     Autonomous-intelligent system    

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Periodically varied initial offset boosting behaviors in a memristive system with cosine memductance Regular Papers

Mo CHEN, Xue REN, Hua-gan WU, Quan XU, Bo-cheng BAO

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12,   Pages 1706-1716 doi: 10.1631/FITEE.1900360

Abstract: A four-dimensional memristive system is constructed using a novel ideal memristor with cosine memductance. Due to the special memductance nonlinearity, this memristive system has a line equilibrium set (0, 0, 0, δ) located along the coordinate of the inner state variable of the memristor, whose stability is periodically varied with a change of δ. Nonlinear and one-dimensional initial offset boosting behaviors, which are triggered by not only the initial condition of the memristor but also other two initial conditions, are numerically uncovered. Specifically, a wide variety of coexisting attractors with different positions and topological structures are revealed along the boosting route. Finally, circuit simulations are performed by Power SIMulation (PSIM) to confirm the unique dynamical features.

Keywords： Initial offset boosting     Memristive system     Memductance     Line equilibrium set    

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Study of online balancing control technique for high-speed spindles

Zhang Yun,Mei Xuesong

Strategic Study of CAE 2013, Volume 15, Issue 1,   Pages 87-92

Abstract:

To solve the problem of online automatic balance control of machine tool spindle, the balancing methods and the automatic balancing technologies were discussed in this paper, and then an online automatic balance mechanism based on hydrojet-typed mass compensation principle was proposed. The feasibility of this balancing device was verified on a motorized spindle, and the empirical results validated the effectiveness of this mechanism.

Keywords： high-speed spindle     online balancing     vibration control    

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The Development and Research Synopsis of Large UAV in China

Zhao Xu

Strategic Study of CAE 2003, Volume 5, Issue 1,   Pages 38-41

Abstract:

This paper systematically reviews the history and background of large UAV * s development in China, which includes the first developed simulated target drone, all kinds of substantial pilotless drone and the developing unmanned attack air vehicle. The main technical difficulties and key technologies applied are introduced in detail. The developing journey of all kinds of unmanned air vehicle is formulised. In the end, the importance and development of UCAV in China are also previewed, analysed and plotted.

Keywords： target drone     unmanned air vehicle (UAV)     unmanned combat air vehicle (UCAV)     development     application    

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A collaborative target tracking algorithm for multiple UAVs with inferior tracking capabilities Research Articles

Zhi Zheng, Shuncheng Cai,zhengz@fjnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10,   Pages 1334-1350 doi: 10.1631/FITEE.2000362

Abstract: Target tracking is one of the hottest topics in the field of drone research. In this paper, we study the multiple unmanned aerial vehicles () problem. We propose a novel tracking method based on intention estimation and effective cooperation for UAVs with inferior tracking capabilities to track the targets that may have agile, uncertain, and intelligent motion. For three classic target motion modes, we first design a novel trajectory feature extraction method with the least dimension and maximum coverage constraints, and propose an intention estimation mechanism based on the environment and target trajectory features. We propose a novel Voronoi diagram, called MDA-Voronoi, which divides the area with obstacles according to the minimum reachable distance and the minimum steering angle of each UAV. In each MDA-Voronoi region, the maximum reachable region of each UAV is defined, the upper and lower bounds of the trajectory coverage probability are analyzed, and the tracking strategies of the UAVs are designed to effectively reduce the tracking gaps to improve the target sensing time. Then, we use the Nash -learning method to design the UAVs’ collaborative tracking strategy, considering factors such as collision avoidance, maneuvering constraints, tracking cost, sensing performance, and path overlap. By designing the reward mechanism, the optimal action strategies are obtained as the control input of the UAVs. Finally, simulation analyses are provided to validate our method, and the results demonstrate that the algorithm can improve the performance for multiple UAVs with inferior tracking capabilities.

Keywords： 协同跟踪；意图估计；MDA-Voronoi图；多无人机；性能不占优    

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The Balancing Stress in the Tilted Section of the Element Is Not the Stress for the Balance of the Particle on It

HanWenba,Cai Bingqing,LiuDabin,Han Xiaodong

Strategic Study of CAE 2005, Volume 7, Issue 11,   Pages 42-47

Abstract:

From the pure extension of the straight bar it can be seen that the balancing stress in the tilted section of the element can only ensure the balance of itself, but can’t ensure the balance of particles on it. The difference between the balance of the element and that of particles on it is demonstrated. A conclusion is drawn that the balancing stress of particles under two dimension stress state is written as σ＇α = σ2x +σ2y+ 2τ2+2τ（σ2x+σ2y）1/2(sinα2 + cosα2))1/2，and the angle between the direction of the balance stress and axis is written as αx= arctan ( τ + (σ2x + σ2y)1/2 sin arctan （σy/σx)) /（τ + （σ2x+σ2y）1/2 cos arctan (σy/σx)). Under two dimension stress state, the principal stress of element and the maximum balancing stress of particles both take place in the 45°diagonal plane, and the balancing stress of particles is 21/2 times that of the principal stress. A new two dimension combining strength condition is derived as σ＇α = (σ2 + 2τ2 + 2στ )1/2≤[σ], and it will replace the formula of bend-torsion combining strength condition of third strength theory ( σ2 + 4τ2)1/2≤[σ] and that of fourth strength theory( σ2 + 3τ2)1/2≤[σ]. A new three dimension combining strength condition is derived as σ＇d =(σ21+σ22+σ23)1/2[σ]and can replace the wrong formula σxd=[((σ1 -σ2)2 +(σ2-σ3)2 +(σ3-σ1)2)/2 ]1/2≤[σ] , which is the corresponding strength formula of the fourth strength theory.

Keywords： stress     tilted section     balance stress of particle     strength theory    

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Construction and Application of Mineral Flotation Adsorption Equilibrium Model: Accurately Analyze Ions / Reagents Adsorption Behavior on Mineral Surface

Gao Ya, Fu Xinzhuang, Han Haisheng, Wang Li, Yue Tong, Sun Wei

Strategic Study of CAE 2023, Volume 25, Issue 6,   Pages 248-258 doi: 10.15302/J-SSCAE-2023.07.020

Abstract:

The mineral flotation adsorption equilibrium model is a mathematical model to accurately describe ions/reagents adsorption equilibrium involved in mineral flotation. It is the first time to realize quantitative affinity analysis between mineral surface sites and flotation reagents. There is a lack of scientific explanation for the traditional flotation theory on the surface-active sites, and the adsorption capacity and equilibrium state of flotation reagents are also difficult to clarify, making new reagent design mainly based on empirical methods such as trial-and-error method and compound method. Besides, if selective adsorption, as the core mechanism of flotation, cannot be precisely predicted, the development of intelligent control on flotation process will be seriously limited. This study discussed in detail the construction principle of the mineral flotation adsorption equilibrium model, taking two flotation systems of hematite-quartz and diaspore-kaolinite as examples. The constants containing site density Ns, protonation / deprotonation equilibrium constants Kt1/Kt2, and reagent adsorption constant Kf can be deduced and verified successfully. Based on these constants, mineral surface electricity and ions/reagents adsorption behavior can be forecasted. Furthermore, a kind of kernel algorithm about the mineral flotation prediction system was created through Zeta potential tests and some other verification methods. Using this algorithm, the preliminary and accurate prediction of reagent adsorption on each mineral surface at different conditions can reflect its floatability trend to a certain extent, which helps to shorten the flotation technology development cycle. It is also of great significance in the study of mineral surface reagent adsorption mechanisms, flotation reagent molecular design, and flotation process optimization and intelligent control.

 

Keywords： mineral processing     flotation mechanism     mineral flotation adsorption equilibrium model     mineral floatability prediction     characteristic constant in mineral flotation    

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Title Author Date Type Operation

Installation technology of counterweight system of Three Gorges Project ship lift

Cai Chunhua and Luo Bin

Journal Article

Anewhierarchical software architecture towards safety-critical aspects of a drone system

Xiao-rui ZHU, Chen LIANG, Zhen-guo YIN, Zhong SHAO, Meng-qi LIU, Hao CHEN

Journal Article

Fall preventive gait trajectory planning of a lower limb rehabilitation exoskeleton based on capture point theory

Mei-ying Deng, Zhang-yi Ma, Ying-nan Wang, Han-song Wang, Yi-bing Zhao, Qian-xiao Wei, Wei Yang, Can-jun Yang,ycj@zju.edu.cn

Journal Article

Inspection System of Carbonate Equilibrium for Groundwater

Liu Jiangang,Zheng Kexun,Fu Weining,Wu Shunhua

Journal Article

Affine formation tracking control of unmanned aerial vehicles

Huiming LI, Hao CHEN, Xiangke WANG

Journal Article

Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms and applications of cognition, management, and control for complex systems

Fei-Yue WANG, Jianbo GUO, Guangquan BU, Jun Jason ZHANG,jun.zhang.ee@whu.edu.cn

Journal Article

Detection of the Pine Wilt Disease Tree Candidates for Drone Remote Sensing Using Artificial Intelligence Techniques

Mutiara Syifa, Sung-Jae Park, Chang-Wook Lee

Journal Article

The Application of Local Search for Maximum Area to High Pressure Phase Equilibrium

Guo Jizhi,Liu Tao,Yuan Weikang

Journal Article

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

Periodically varied initial offset boosting behaviors in a memristive system with cosine memductance

Mo CHEN, Xue REN, Hua-gan WU, Quan XU, Bo-cheng BAO

Journal Article

Study of online balancing control technique for high-speed spindles

Zhang Yun,Mei Xuesong

Journal Article

The Development and Research Synopsis of Large UAV in China

Zhao Xu

Journal Article

A collaborative target tracking algorithm for multiple UAVs with inferior tracking capabilities

Zhi Zheng, Shuncheng Cai,zhengz@fjnu.edu.cn

Journal Article

The Balancing Stress in the Tilted Section of the Element Is Not the Stress for the Balance of the Particle on It

HanWenba,Cai Bingqing,LiuDabin,Han Xiaodong

Journal Article

Construction and Application of Mineral Flotation Adsorption Equilibrium Model: Accurately Analyze Ions / Reagents Adsorption Behavior on Mineral Surface

Gao Ya, Fu Xinzhuang, Han Haisheng, Wang Li, Yue Tong, Sun Wei

Journal Article