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    AI Robotics Column
    Design of Trajectory Tracking Controllers for Unmanned Vehicles Based on Adaptive Dynamic Control
    LI Zhe, YANG Yu-hang, YIN Yan-yu, YIN Ya-qi
    2023, 33(1): 1-5.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.001
    Abstract ( )   PDF (391KB) ( )  
    This paper studies the problem of adaptive trajectory tracking control based on sliding mode observer, considering the effects of both disturbances and faults. In order to deal with the parameter uncertainties and faults of actuator drive mechanisms during the operation of unmanned vehicles, combining with the nonlinear structural characteristics of the system, the adaptive sliding mode observer is designed to estimate fault signals, based on which, an adaptive control law is designed to estimate the time-varying parameters online which ensures the stability of the closed-loop system and meets the trajectory tracking requirements. Simulation results show that the control method designed in this paper can achieve desired trajectory tracking performance with good robustness under the influence of system time-varying parameters and additive faults of actuators.
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    Traffic Flow Detection Based on YOLOv4 and Improved DeepSORT Algorithm
    WANG Ji-chao, ZHANG Li-juan, ZHANG Chun-qian, HUI Zhen-qiao, Shen Yao-hui
    2023, 33(1): 6-11.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.002
    Abstract ( )   PDF (518KB) ( )  
    In order to improve the detection rate of traffic flow in different time periods, based on the excellent target detection model YOLOv4, this paper improved the traditional DeepSORT algorithm, changed the original IoU into CIoU, and provided more abundant matching strategies to make the target tracking more stable while retaining the tracking information. To a certain extent, it solves the problem that the target is easily lost when the light is dim. Finally, the improved algorithm is compared with SORT algorithm and DeepSORT algorithm in traffic flow detection stage. Experimental results show that the proposed algorithm improves by 10.7% compared with SORT algorithm and 1.3% compared with DeepSORT algorithm in daytime. At night, the proposed algorithm improves 18.1% compared with SORT algorithm and 7.9% compared with DeepSORT algorithm. In this paper, the improved algorithm is accurate in detecting traffic flow at night, which provides theoretical reference and method basis for object detection and tracking in dim environment.
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    Design and Implementation of Body Motion Recognition Method Based on Kinect V2
    WANG Zheng-bo, TANG Yong, LIU Chen-miao, SUN Dong-lai
    2023, 33(1): 12-18.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.003
    Abstract ( )   PDF (434KB) ( )  
    In the fields of computer vision and pattern recognition, body motion recognition has always been a hot topic. Body motion recognition technology has been widely used in various industries. In this paper, Kinect equipment is used to collect the three-dimensional coordinates of 20 key parts of the human body and apply them to the analysis and identification of body movements; on this basis, the three-dimensional depth information based on human bones is analyzed, and the human motion is further analyzed. Identification and expression of features. Through the system simulation and analysis of the recognition results, the recognition accuracy rates are all above 92%. At the same time, the recognition and analysis of different forms of characters can be recognized normally, which verifies the feasibility of the system.
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    Electrical Engineering Column
    Fault Diagnosis of Hydroturbine Hydraulic Vibration Based on Probabilistic Neural Network
    SU Li, MAO Cheng, SHEN Chun-he, XIE Wen-jing, DAI Li-chuan
    2023, 33(1): 19-23.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.004
    Abstract ( )   PDF (387KB) ( )  
    Fault diagnosis technology is one of the key technologies for the safe and stable operation of hydroelectric turbine units in hydropower plants. As the conventional online monitoring system is difficult to detect the unit vibration fault problem, a probabilistic neural network (PNN) algorithm is constructed, and the fault samples are designed for the fault parameters that have been collected. The program mainly includes three parts such as fault sample data pre-processing, sample data normalization and probabilistic neural network. The results show that the diagnostic results of the PNN model are consistent with the actual fault types, and this model has good diagnostic effects.
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    Design and Implementation of Intelligent Power Saving Management System Based on Cloud Platform
    LI Zhao-ze, LIU Yi-miao, LI Xin, YANG Wen-jing, WANG Yi-fan, GAO Bo
    2023, 33(1): 24-31.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.005
    Abstract ( )   PDF (865KB) ( )  
    In this paper, a smart power-saving management system based on cloud platform is designed to solve the problem of power waste caused by the electrical equipment in the classroom of colleges and universities. The system uses STM32F103ZET6 as the main control chip, realizes the collection of electrical equipment status and environmental information based on ZigBee technology, and realizes the information interaction with the cloud platform by Wi-Fi module, and then accesses the cloud platform through mobile APP to realize the remote monitoring and control of electrical equipment. On this basis, SwiftUI was used to develop a set of intelligent power-saving management system based on cloud platform. After testing, the system can independently control the operation status of electrical equipment according to the power demand, which greatly reduces the waste of electric energy.
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    Geotechnical Engineering Column
    Seepage Stability Analysis of Different Dam Forms in Tailings Pond
    JIANG Shi-lei, HUANG Wei, ZHAO Feng-qi, ZUO Shuai, JI Hong
    2023, 33(1): 32-38.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.006
    Abstract ( )   PDF (661KB) ( )  
    In order to research the influence of different dam shapes on the seepage stability of tailings DAMS and analyze the safe translation distance of upstream tailings dam sub-dams, taking a tailings in Xinjiang Province as the engineering example, the saturation-unsaturated flow Van Genuchten model of Geo-Studio software Geo-Seep /W seepage analysis module was used to analyze the seepage field of tailings dam. By simulating and analyzing the seepage stability of tailings under various working conditions and comparing with the investigation results, the calculated results of seepage flow agree with the survey data. Moreover, the seepage flow of different dam body forms is compared and analyzed. When the shape of dam body changes, the relative position of the tailings accumulation material changes, which has a great impact on the seepage flow.The results show that the upstream translation distance of tailings dam at 940.0m elevation should not exceed 80m, otherwise, drainage system should be added to reduce the infiltration line at the foot of slope.
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    Study on Key Construction Technology of Strengthening Soft Expansive Soil Foundation with CFG Pile
    CHEN Mei-xiang
    2023, 33(1): 39-43.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.007
    Abstract ( )   PDF (372KB) ( )  
    Expansive soil has the deformation characteristics of water absorption expansion and water loss shrinkage, which makes the expansive soil section very easy to produce diseases such as the arch deformation of the track and the instability of the slope. It is an effective method to solve the problem that the foundation reinforcement in the expansive soil section is based on the Nanchuan North Station construction site, and the key technology of the foundation reinforcement in the expansive soil section is discussed. The relevant mechanical properties of the expansive soil foundation and the key technical problems involved in the construction of CFG piles are mainly studied, and the bearing capacity and settlement of the foundation after the reinforcement of the CFG piles are analyzed. The results will provide technical reference for the similar projects.
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    Study on Prediction of Anti Floating Water Level of a Site Based on Numerical Simulation Technology
    LI Hui-feng
    2023, 33(1): 44-49.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.008
    Abstract ( )   PDF (503KB) ( )  
    Combined with a construction project in Xingtai City, numerical simulation technology is used to simulate, analyze and predict the anti floating water level of the site. According to the engineering geological conditions of the site, a hydrological model of supply, runoff and discharge is established, and a hydrological year is selected to simulate the model. The simulation results are compared with the measured water level values, and the error is within a reasonable range by adjusting the relevant parameters. Then, the influence of adjacent surface water system on the groundwater level of the project site is considered and simulated, and a reasonable anti floating fortification water level is proposed. It provides a reference for the determination of anti floating water level of similar projects.
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    Basic Science Research Column
    Study on the Thermodynamic Error Problem of the Adsorption Process
    NIE Jia-xin , SI Zhan, HU Jing-jing, ZHOU Hua-feng
    2023, 33(1): 50-55.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.009
    Abstract ( )   PDF (340KB) ( )  
    The error of physical quantity in adsorption thermodynamics has been concerned by scholars since the last century, and this error is attributed to the entropy enthalpy compensation.For similar physicochemical processes in chemistry and biology, the linear enthalpy-entropy compensation(EEC)phenomenon is a thermodynamic mystery that cannot be explained for a long time.The basic thermodynamic rules do not strictly support the EEC phenomenon.Under some restricted conditions, the EEC may present an unrealistic linear state.Therefore, In this paper, we start with the error of the adsorption process, review the correction of the solution of this error, and deeply study the phenomenon of entropy enthalpy compensation, analyze the principle of the phenomenon, and think that the existence of the compensation phenomenon is not a mathematical and quantum level physical problem.    
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    Achievements and Enlightenment on Frictional Resistance of Turbulent Flow in Pipes
    ZHAO Yu-zhang, HE Fa-long
    2023, 33(1): 56-61.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.010
    Abstract ( )   PDF (356KB) ( )  
    The accurate prediction of flow resistance in pipes is one of the basic yet key requirements for the design and operation of many industrial processes, including hydraulic engineering projects.Focusing upon the turbulent friction factors in pipes, we review comprehensively the discovery processes of Reynolds similarity criterion and Blasius formula, Prandtl mixing length hypothesis and Prandtl-von Karman-Nikuradse formula, and Colebrook formula. The leading and guiding role of the innovation of physical thought is emphasized. We discuss in detail the empirical nature of Colebrook formula in order to correctly use and interpret its prediction. In addition, we introduce China’s contributions to this subject, including foreigner’s work in China, Chinese's work abroad, and work of Chinese in China, of which the trend in a sense reflects the spread and progress of modern science in China, and shows the bright future of science in China.
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    Project Management Column
    Research on Construction Cost Prediction of Construction Project Based on BSA-ELM Model
    HONG Yu-juan
    2023, 33(1): 62-67.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.011
    Abstract ( )   PDF (469KB) ( )  
    In order to reduce the management cost of construction projects and reduce the economic burden of enterprises, this study proposes a construction cost prediction model of construction projects based on BSA-ELM. Firstly, ELM neural network algorithm and BSA algorithm are introduced. Secondly, the ELM model is optimized by using the advantages of BSA algorithm, so as to form a prediction model based on BSA-ELM; Finally, the construction cost prediction model based on BSA-ELM is tested and compared with the traditional prediction model. The results show that the performance of BSA-ELM prediction model is better and the prediction accuracy is higher.
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    Cause Analysis and Treatment for Structure Vibration of Building
    ZHENG Shi-duo, ZHANG Dong-mei, ZHANG Shu-qiang, LIU Tao
    2023, 33(1): 68-72.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.012
    Abstract ( )   PDF (260KB) ( )  
    Based on the improvement of the current production level, the impact of the upgrading of mechanical equipment on the vibration of buildings cannot be ignored. It is very important to eliminate or reduce the vibration of the surrounding environment for the safety of buildings. In this paper, based on the conventional nondestructive testing method, the 941 vibrometer produced by the Institute of Engineering Mechanics of China Seismological Bureau is used to test the vibration of a building through an example of building vibration, and the frequency, damping and other modal parameters of the building structure are determined under the condition of unknown input. On the premise of understanding the surrounding vibration environment, this paper analyzes the causes of the building vibration, puts forward the methods to eliminate or weaken the building vibration for the later reconstruction of the building, and provides a reference for similar existing building vibration elimination.
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    Completion Acceptance Survey Practice of Multi-surveying Integration of Construction Project in Xiong'an New Area
    ZHANG Yong, WANG Chang-ke, ZHAO Wei-ming
    2023, 33(1): 73-78.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.013
    Abstract ( )   PDF (583KB) ( )  
    In order to share the valuable experience of the reform of multi-surveying integration of construction project in Xiong'an New Area, this paper mainly elaborates on each link of the reform practice of multi-surveying integration by taking Xiong'an New Area as an example. Many survey projects in the completion acceptance stage of Xiong'an New Area engineering construction project are entrusted to the same surveying and mapping unit to complete, so as to realize the multi-surveying integration. At present, the state and local governments have issued relevant policy documents on the multi-surveying integration of construction projects, but the overall situation is in the stage of exploration and experience summary. Combing and summarizing the practical experience of multi-surveying integration in Xiong'an New Area can be used as a reference in other provinces.
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    Application and Practice of Safe Construction Work Permit in Power Engineering Construction Project
    GU Shun-bo, FENG Bo
    2023, 33(1): 79-82.  DOI: 10.16046/j.cnki.issn2096-5680.2023.01.014
    Abstract ( )   PDF (198KB) ( )  
    Taking safety management measures and pre controlling safety risks are effective ways to improve project safety management. Safe construction work ticket is one of the main measures for project safety management. It is a targeted form for implementing project construction work permit, construction safety disclosure and various safety measures, and can effectively prevent safety accidents. This paper focuses on the practice of a general contracting enterprise in the petrochemical industry in the general contracting of electric power construction projects in the electric power survey and design industry, combs the relevant national and industrial standards and regulations, and objectively summarizes the safety management practice of safe construction work tickets in electric power engineering construction projects.
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