Journal of Hebei University of Water Resources and Electric Engineering

Application Research of Earth-rock Dam LeakageDisease Detection

TANG Kexuan, SUN Zhixin, ZHONG Han, WANG Zhihao, WANG Jie

2025, 35(1): 1-5. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.001

Abstract ( )

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Leakage disease is one of the main factors that cause the instability and the reduction of utilizable capacity of reservoir and dam. The whole life cycle of reservoir and dam can not be isolated from the consideration of leakage problem. Earth-rock dam, which accounts for about 92% of all kinds of dams in our country, is also a biased dam type where leakage occurs. It is an important basis for earth-rock dam to carry out the application research on the detection technology of leakage disease, to show the leakage channel and analyze the cause and evaluate the impact. Taking Dongfeng Reservoir in Jintang County, Sichuan Province as an example, a comprehensive detection of the dam was carried out by the combination of ground geophysical exploration and in-hole testing. The detection results show that there are two main water intakes in the reservoir. The water flows along fissure towards river direction,bypass the impermeable core wall,passes through the dam foundation in the form of confined water, and leaks to the back side at last. The guiding significance of the detection results is as follows: the key to deal with the leakage disease of Dongfeng reservoir is to block the fissure leakage channel in the dam foundation, especially on the left side.

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Application of 3D Geological Technology in a Reservoir Project

HAN Chunyu

2025, 35(1): 6-10. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.002

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Reservoir engineering construction has high requirements for the work of geological specialty. How to accurately show the specific image of the complex survey results and improve the readability and availability of the survey results documents is a direction of the current water conservancy survey industry. In this paper, the AglosGeo 3D geological system developed based on Microstation platform is used to conduct 3D geological modeling of a reservoir dam site, analyze, evaluate and summarize the modeling process, and study the applicability and advantages of 3D geological technology in reservoir projects. Through the research, it is found that the 3D geological technology can cover the geological condition information in the database, make the 3D geological model has geological information attributes, and can carry out a series of analysis and calculation, so that the geological results can be better understood and used by relevant designers.3D geological technology will be able to change the general view of geological difficulty, become an indispensable part of the survey field, and even become an advantage part of the survey field.

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Experimental Verification of Seepage and InfiltrationCurve of Common Complete Well

SUN Yan, CAI Yongxiang

2025, 35(1): 11-17. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.003

Abstract ( )

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Well and well system engineering is often used in hydraulic construction to control seepage in foundation and soil, especially in earth dam and dike engineering, by draining the seepage well and well system to reduce the infiltration line. Since most of the existing studies are theoretical derivation and lack of experimental verification of well seepage, this study aims to verify the infiltration curve of ordinary complete Wells through experiments. To this end, the seepage model experimental device of ordinary complete well is designed and built. By controlling the seepage under different conditions, the experimental data is collected and analyzed. The experimental results show that under the set experimental conditions, the seepage behavior of the well can effectively reduce the infiltration line, and the experimental data are in good agreement with the theoretical model. This study verifies the infiltration curve of common complete wells through experiments, which provides experimental basis for the design and optimization of well and well system engineering in practical application, and also provides valuable data support for subsequent research.

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Numerical Simulation and Improvement Research on the Working Flow Rate of Engine Cooling System

TAN Libin, YUAN Yuejin

2025, 35(1): 18-24. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.004

Abstract ( )

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To evaluate the working flow rate of a four cylinder engine cooling system and explore the factors affecting the working flow rate, a one-dimensional analysis model of the cooling system working flow rate was constructed using GT-COOL software. Based on this model, the effects of component outlet pipe diameter, component flow resistance, and water pump performance on the working flow rate were studied. Results show that the total flow rate of the initial state of the cooling system at an engine speed of 10000 r/min is 79.8 L/min. The total flow rate of the cooling system is 83.7 L/min when the diameter of the water pump outlet pipe is 21 mm, the diameter of the small circulation outlet pipe of the thermostat is 13 mm, and the flow resistance of the oil-water exchanger and radiator is reduced by 20% respectively. The transmission ratio of water pumps and the performance of individual water pumps have a significant impact on the working flow rate of cooling systems. By improving the performance of individual water pumps and reducing the total resistance of the cooling system, the working flow rate of the cooling system is increased to 90 L/min. After verification, the measured total flow rate of the cooling system at an engine speed of 10000 r/min is 88.5 L/min, which differs from the predicted simulation value of 90 L/min by 1.5 L/min, with an error of 1.7%. This verifies the accuracy and reliability of the simulation results of the cooling system's working flow rate. The research results can provide theoretical guidance for the evaluation and improvement of the working flow rate of engine cooling systems.

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Safety Measures for Ultra-high Voltage and Ultra-high Span Tower Construction

YANG Xinzhan

2025, 35(1): 25-29. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.005

Abstract ( )

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With the maturity of China's ultra-high voltage technology system, a large number of transmission lines have been constructed one after another. Many of these routes are located in mountainous areas, facing difficulties in transportation, low lifting efficiency, high safety risks in high-altitude operations, and difficulties in construction during the rainy season. By analyzing the risks and difficulties faced by a certain project's two tower foundation construction and assembly tower construction process, including difficulties in transportation on mountainous roads and rainy seasons, narrow construction work surfaces, high risk factors for high-altitude operations, lightning and mechanical injuries, and hidden dangers of electric shock, a special construction safety plan for ultra-high towers was proposed. Targeted safety protection measures were proposed from personnel protection, mechanical protection, foundation construction protection, on-site protection, and environmental protection, effectively ensuring the safety of operators.

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Remote Monitoring System of Glass Manipulator Based on Internet of Things Technology

LIU Hui, ZHANG Tiebi, DENG Sanpeng, WANG Lu, CHEN Xingnan

2025, 35(1): 30-34. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.006

Abstract ( )

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In order to improve the automation level and production efficiency of glass processing industry, combined with the characteristics of glass production, a remote monitoring system based on the Internet of Things technology was designed. With PLC as the core controller, the system accurately controls the movement track, speed and strength of the manipulator to ensure the smoothness and safety of the glass in the process of handling. Through the Internet of Things module, the robot's operating status, production data, alarm data and other key information are transmitted to the cloud in real time, and the upper computer can obtain the data from the cloud and view all kinds of information of the robot in real time, so as to realize the comprehensive monitoring and timely intervention of the production process. The actual operation proves that the system has the advantages of high control precision, stable and reliable operation, convenient remote monitoring, etc., which can significantly improve the production efficiency and product quality of glass processing industry. In addition, iot technology also provides an effective way to achieve remote fault diagnosis, system upgrade and maintenance, further improving the reliability and maintainability of the system.

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A Target Detection Method for Low-light License Plate Image Based on Duffing Oscillator and Maximum Entropy Threshold Segmentation

ZHANG Haoyu, SHI Qihang, LIU Jinjun

2025, 35(1): 35-44. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.007

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It is hard to extract the target information of the license plate image in complex environments such as low light illumination and strong background noise. To solve this problem, a target information detection method for noisy low-light image is proposed based on cascaded Duffing oscillator and adaptive maximum entropy threshold segmentation. The license plate image is enhanced by the cascaded Duffing oscillator. In order to effectively detect the target information, an adaptive maximum entropy threshold segmentation method based on genetic algorithm is used to process the license plate image enhanced by cascaded Duffing oscillator. Compared with the improved histogram equalization approach and the image enhancement method based on Retinex, the image processing method based on the Duffing oscillator has obvious advantages in image enhancement and image noise reduction. Through experimental verification, compared with the original image, the method proposed in this paper improves the contrast by 58.0581 and the peak signal-to-noise ratio by 17.141 8 dB, which demonstrates that the proposed method can detect the target information of noisy low-light the license plate image effectively.

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Research on Fault Characteristics of Welding Robot Key Components

WANG Shan, YIN Yupeng

2025, 35(1): 45-51. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.008

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The joint of welding robot is the key component of welding robot, which has variable load, large torque and frequent faults. The dynamic model of welding robot joint is established by using the lumped mass method, and the dynamic equation is established. Based on the Runge-Kutta method, the vibration data under normal and typical fault conditions are obtained by solving the differential equation. The simulation of vibration signal in time domain and frequency domain is carried out by MATLAB, and the results show that the amplitude and frequency conversion band of vibration signal increase when the sun wheel pitting fault occurs, in the case of cycloid wheel pitting fault, the signal energy is concentrated and the amplitude increases at frequency doubling, and the energy is concentrated at frequency doubling when rotor eccentricity fault occurs. It provides theoretical basis and diagnostic basis for condition monitoring and fault diagnosis of welding robot.

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Research on the Influence of Extreme Rainfall Weather on the Bearing Capacity of Shallow Foundations

LIU Guangxue, LIU Jianxiu, GONG Yunqiang, ZHANG Peicheng

2025, 35(1): 52-57. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.009

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In view of the impact of extreme rainfall weather on the bearing capacity of shallow foundations, indoor load tests and theoretical analysis were used to conduct research on the bearing characteristics of shallow foundations under different rainfall intensities. Research shows that as the rainfall intensity increases, the bearing capacity of the foundation decreases significantly. The maximum bearing capacity loss under extremely heavy rainfall conditions can reach 51.65%. The bearing capacity reduction caused by rainfall intensity decreases linearly in the early stage. When the rainfall intensity reaches a heavy rainstorm, a steep drop in bearing capacity occurs, and the subsequent change trend does not change much from the slope before the steep drop. The slope method was used to process the measured data of shallow foundation bearing capacity. The overall downward trend of the bearing capacity obtained by the slope method is similar to that of the actual measurement method as the rainfall intensity increases, but the slope is different. The bearing capacity obtained is generally smaller than the actual measurement method, and the difference becomes smaller and smaller with rainfall intensity. The maximum difference is 12.5% when there is no rain. From an engineering perspective, this processing method is safer. In order to process and predict the bearing capacity of shallow foundations, it is found that the results of the hyperbolic method can show a good linear fitting degree, and the change curve of its bearing capacity with rainfall intensity is very close to the trend obtained by the actual measurement method. It can be corrected by linear fitting to obtain the corresponding measured curve. Under the conditions of this test, the linear fitting parameter is 0.865. The hyperbola method can be used to predict the increase in heterogeneous foundation bearing capacity and the change trend of settlement caused by extreme rainfall weather. The overall goal of the research is to provide safer engineering practices for building shallow foundations in areas prone to extreme rainfall weather.

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Study on Prediction Method of Foundation Bearing Capacity of High-rise Buildings under Complex Geological Conditions

FAN Xiaoqian

2025, 35(1): 58-64. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.010

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A new method for predicting the bearing capacity of high-rise building foundation under complex geological conditions is proposed to reduce the prediction error. Support vector machine algorithm was introduced in this prediction method, the relaxation coefficient is incorporated, and genetic algorithm was used to optimize the support vector machine, the foundation bearing capacity prediction model was constructed, and the implementation process of the prediction method was designed to realize the foundation bearing capacity prediction of high-rise buildings. The experimental results show that the settlement prediction error of the proposed bearing capacity prediction method is less than 2%, and the absolute error is less than 0.0005mm. This method effectively reduces the prediction error of the bearing capacity of high-rise building foundations and has certain feasibility.

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Construction Technology for Ultra Deep Foundation Pit Support Adjacent to Existing Residential Buildings

XIANG Wenqiang

2025, 35(1): 65-69. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.011

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In order to avoid the impact of ultra deep foundation pit support on surrounding buildings and reduce the settlement of surrounding buildings after the completion of support construction, a new foundation pit support construction technology is proposed using a proposed project near the entrance and exit of Daminggong West Station on Xi'an Metro Line 2 as an example. Install drilling interlocking piles around the foundation pit to form the foundation pit enclosure structure, and use an equal thickness cement soil mixing wall. Set up a support system at the longitudinal diagonal of the ultra deep foundation pit to further protect the adjacent residential buildings. Based on the interlocking pile, the prestressed anchor cable installation is completed through four steps: drilling, anchor cable installation, grouting, and anchor cable tension, to strengthen the foundation pit support structure. Building a super deep foundation pit water stop curtain based on the double-sided overlap milling construction method to complete the overall construction of foundation pit support. The monitoring results show that five and a half months after the construction of ultra deep foundation pit support, the maximum settlement value of adjacent buildings is only 7.6 mm, which meets the requirements of foundation pit support construction.

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Intelligent Control Technology for Precision Cost of Construction Projects Based on Time Series Models

WANG Ju

2025, 35(1): 70-74. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.012

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In response to the problem of limited selection of dimensions for cost element indicators in construction projects, which leads to unsatisfactory control effects, a precise cost intelligent control technology for construction projects based on time series models is proposed. Firstly, based on the characteristics of the construction project, the cost index of the project is predicted by constructing a time series. Then select cost element indicators from four dimensions and calculate the cost index for each indicator. Finally, combined with edge computing technology, by optimizing the path of edge nodes, an intelligent cost control network model is constructed to achieve accurate intelligent cost control of construction projects. In the experiment, the effectiveness of the proposed intelligent cost control technology for construction projects was tested. The final test results indicate that the proposed cost intelligent control technology has a high evaluation value, and the intelligent control effect is relatively ideal.

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Research on Adaptive Scheduling Method for Large Scale BIM Scenarios Based on Multidimensional Perception Regulation

ZHOU Chao

2025, 35(1): 75-80. DOI: 10.16046/j.cnki.issn2096-5680.2025.01.013

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In response to the problems of low frame rate, high memory consumption, and average CPU consumption in the scheduling process of large-scale BIM scenes, an adaptive scheduling method for large-scale BIM scenes based on multidimensional perception regulation is proposed. Divide large-scale BIM scene spatial data into DEM data, building data, and texture data, and implement spatial data segmentation separately. Combining the pyramid structure with the quadtree data indexing mechanism to implement spatial data indexing for segmented data blocks, clearly expressing the internal structural relationships of the data blocks. Design a multidimensional perception adaptive scheduling algorithm based on a multidimensional perception regulation model and Markov decision-making, and implement adaptive scheduling for large-scale BIM scenarios based on the designed index mechanism. The test results show that the design method can achieve large-scale BIM scene scheduling. When the data size reaches 1000GB, the frame rate can be maintained at 39fps, the average CPU consumption is less than 1800MB, and the memory consumption is relatively low.

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