Design of pipeline geological risk assessment and early warning system based on Beidou satelliteLi, Tingke; Luo, Lingxi; Lu, Wan; Li, Denghui
doi: 10.1117/12.3025113pmid: N/A
External damage and geological disasters are two major hidden dangers threatening the safety of oil and gas pipelines. Traditional manual inspection and ground sensor monitoring methods have certain limitations. This article studies the geological risk assessment and early warning algorithm for pipelines based on the BeiDou satellite. Through satellite imagery, various optimized change detection algorithms are studied, and an automatic change detection software integrating multiple algorithms is constructed. The InSAR method is used to analyze the geological deformation along the pipeline, supplemented by satellite optical images, meteorology, ground sensors, hydrology, geology and other multi-source data, Establish a satellite based geological hazard monitoring system and technical identification methods to achieve comprehensive identification and early warning of geological hazards.
Research on simulation modeling of closed-loop double core fluxgate sensorWu, Zhixi; Chen, An
doi: 10.1117/12.3024224pmid: N/A
Based on the research of current sensors with more accurate measurement accuracy, fluxgate sensor has become the first choice for high-precision current sensor design because of its simple structure, high sensitivity, low cost and power consumption, and large dynamic measurement range. In this paper, a closed-loop feedback structure of a double-core self-excited fluxgate zero-flux current sensor is proposed, and its working principle is analyzed. Finally, the corresponding simulation model is designed in Ansys, which proves the feasibility of this new sensor structure and compels the missing content of fluxgate sensor simulation design.
Research on centralized distribution network protection scheme based on split hierarchical architectureLi, Hongwei; Wang, Qilin; Xu, Qiyuan
doi: 10.1117/12.3024470pmid: N/A
With the development of smart distribution networks, the access of distribution generation (DG) presented new challenges to the operation and protection of power systems. Based on the hierarchical and modular structural ideas, this paper constructs a centralized distribution network protection system structure with a split layered architecture. The system improves protection accuracy and reliability through split protection, and achieves independent configuration, flexibility, fault isolation, information exchange and scalability. At the same time, protection efficiency is improved through hierarchical protection, hierarchical configuration, coordinated operation and rapid recovery are achieved to optimize power supply reliability. Under different fault scenarios, split and layered distribution network centralized protection is used to analyze the interaction process of random loads and intermittent distributed power sources on the active distribution network. Simulation results show that the architecture is effective and correct.
Influence of the shape of the tank head of the oil storage unit on the impact of sloshingZuo, Yonggang; Chen, Fuze
doi: 10.1117/12.3024429pmid: N/A
During fuel transport, oil sloshing due to sudden braking in emergency situations can result in cracking in the fuel tank. The head of the fuel tank is the most impacted during sloshing and plays a greater role in bearing the sudden force that arises in such a situation. The shape of the head and the oil filling rate significantly influence the strength and occurrence time of the maximum impact force, fluid state in the tank, and pressure distribution during sloshing. Therefore, minimizing the impact of sloshing is important for the sustainable transport of fuel. In this study, we conducted a sloshing simulation using the FLUENT model for the two tank structures (i.e., longitudinal and transverse) with four different head shapes (flat bottom, elliptical dome, butterfly 1, and butterfly 2) to determine the effect of oil sloshing during braking on the pressure-bearing capacity and structural reliability of the tank structure. Based on those results, we determined the optimal head styles for longitudinal and transverse tank structures, providing a basis for the stability calculation of an oil storage unit.
Research on HEV multi-agent control based on working condition recognitionYin, Jianhua; Niu, Limin; Zhu, Fentian; Si, Ming; Zhou, Tianpeng
doi: 10.1117/12.3024252pmid: N/A
Aiming at the adaptive problem of driving conditions in the energy management process of Hybrid Electric Vehicle (HEV), the research of HEV powertrain multi-intelligent body control system based on condition recognition is carried out with two-axle parallel HEV as the research object. Firstly, the theory of Multi-Agent System (MAS) is introduced into the vehicle power system, and a vehicle powertrain control model is constructed; the working condition recognition module is established, and it is embedded into the ADVISOR vehicle simulation software together with the energy management strategies of four different working condition control types, and compared and analyzed with the electrically-assisted strategies, and the experiments are carried out on the basis of the D2P technology. Based on D2P technology, an experimental rig is built to verify the effectiveness and feasibility of the proposed strategies.
Research on wind power prediction based on machine learningGao, Long; Lu, Denglong; Fan, Lifeng; Zhang, Jinghui; Wang, Yahua
doi: 10.1117/12.3024304pmid: N/A
The accuracy of wind and solar power prediction not only affects the assessment of "two regulations" for various wind and solar power plants, but also affects the power generation revenue of wind and solar power plants in the electricity market. Regarding the power prediction of regional wind and photovoltaic power plant clusters, the traditional method of summing up the power of individual stations has low accuracy and efficiency due to different station construction times and uneven single station forecasting accuracy. Therefore, a machine learning method is used to reasonably divide the wind power plants and photovoltaic power station clusters in the region, select representative power stations, and combine historical power data to optimize and correct the numerical prediction elements. Then, a short-term power prediction framework model based on the wind power plants and photovoltaic power station clusters is established using the BP neural network method to improve the prediction accuracy and efficiency.
Unsupervised learning based failure modes occurrence measurement method of hydroturbineXu, Ge; Cao, Zhongyao; Zhang, Chunhui; Jiang, Shixin; Liu, Zhenguo
doi: 10.1117/12.3024650pmid: N/A
Failure modes occurrence measurement, one of the necessary steps of FMEA, has a significant impact on the accuracy of it. However, the existing occurrence measurement methods have strong dependence of subjectivity and label data. To solve the above problems, an unsupervised learning based failure modes occurrence measurement method of hydroturbine is proposed in this paper. The self-organizing map is used to establish the baseline model. And then the minimum quantitative error calculated by the baseline model is used to quantitatively evaluate the fault probability and the occurrence can be calculated by this probability. A case of tile burning fault is studied to described the proposed method in detail. The result shows that the proposed methods can efficiently calculate the occurrence.
Optimization of time-sharing over-current protection setting value for distribution network with decentralized access of distributed power supplyZong, Jin; Liang, Weichen; Zhao, Yiwei; Wu, Mengyu; Liu, Bo; Luo, Guomin
doi: 10.1117/12.3024480pmid: N/A
Distributed generator (DG) decentralized access to the distribution network, so that the current characteristics presented during the fault period are different from the traditional distribution network, and the current characteristics are more complicated. The variation of DG's output in different time periods leads to the inability of stage current protection to accurately discriminate. In this paper, firstly, the low-voltage ride-through control strategy is considered, and the current characteristic model of DG output port is established. Then, the current characteristics during the fault period after decentralized access of multiple DGs are analyzed. The optimization scheme of adjusting the protection value according to the DG parameters by time period is proposed by combining the output information of DG in different time periods. Finally, it is verified through examples that the proposed protection scheme can enhance the protection range of section I and significantly improve the sensitivity of section II, which has practical application value.
Utilization of temperature measurement technology in the supervision of power equipmentHou, An; Xiong, Yan; Chi, Lingyu; Zhao, Jing
doi: 10.1117/12.3024381pmid: N/A
In the context of high investment in electrical power generation, electrical equipment operates under high-frequency and high-voltage conditions for extended periods, leading to overheating and component damage, resulting in frequent accidents. Real-time monitoring of electrical equipment is essential to fulfill its preventative, reliability, regulatory, realtime, and security functions. This paper elucidates the principles of infrared temperature measurement and summarizes the current strengths and weaknesses of temperature measurement technologies. It introduces the principles of fluorescence optical fibers, fiber Bragg gratings, semiconductor optical fibers, and distributed optical fiber temperature measurement technologies, analyzing their advantages and disadvantages while emphasizing the stability of optical fiber temperature measurement. The paper concludes by summarizing and prospecting the main temperature measurement methods in power systems.
Application of portable intelligent individual soldier inspection device based on mobile terminal in UHV equipment managementTian, Xiaoyun; Zhai, Chunyu; Yang, Jianzhong; Ai, Bo; Wang, Xiang
doi: 10.1117/12.3024228pmid: N/A
This paper proposes an innovative method based on mobile terminal technology, which can be used to improve the management efficiency and quality of ultra-high voltage equipment. Combined with the development of multi-functional sensors and intelligent mobile applications, inspection personnel can carry only smart phones and related sensors to perfectly perform partial discharge detection and infrared rapid inspection of UHV equipment, and improve the level of UHV equipment management. This paper describes the structure and operation principle of the device in detail, including the composition of the intelligent sensor and the characteristics of the mobile terminal, as well as the flow of data acquisition and processing. Finally, the innovation and feasibility of this device in the field of ultrahigh pressure equipment management are verified by experiments.