Monitoring and Prediction Analysis of Settlement for the Substation on Soft Clay Foundation

Chen, Qingwei; Xue, Binglei; Wang, Zhipeng; Xie, Dan

doi:10.1155/2022/1350443

Cited by 3 publications

(3 citation statements)

References 20 publications

(17 reference statements)

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“…This requirement is nearly 10 times stricter than the allowable settlement difference between adjacent supports in industrial and civil buildings. Once the uneven settlement of foundations exceeds the specified limit, it poses a serious risk to the safe and stable operation of GIS equipment, leading to potential issues such as gas leaks and discharges [1,2].…”

Section: Introductionmentioning

confidence: 99%

Settlement monitoring for ultra-long GIS equipment based on weak fiber Bragg grating sensing

Wang,

Zhu,

Zhu

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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With the widespread use of Gas Insulated Switchgear (GIS) in substations, the impact of foundation settlement on the safety of equipment has attracted increasing attention. This paper investigates a weak fiber Bragg grating static level meter (wFBG-SLM) that can be deployed on a large scale. It utilizes wFBG as temperature and pressure-sensitive elements and establishes a network using time-division multiplexing. Hundreds of sensors can be connected to a single fiber, making it particularly suitable for long-term real-time settlement monitoring of ultra-long GIS equipment foundations. A sensitivity of 0.06mm/pm and a long-term monitoring accuracy of ±0.4mm were achieved through analysis and testing of this wFBG-SLM. The system has been applied to monitor the foundation settlement of GIS equipment in a ±800kV Ultra High Voltage (UHV) converter station. The obtained two months of monitoring data align well with manually observed data and this system demonstrates significant value for widespread application in related structures.

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Section: Introductionmentioning

confidence: 99%

Settlement monitoring for ultra-long GIS equipment based on weak fiber Bragg grating sensing

Wang,

Zhu,

Zhu

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

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“…When the foundation subsides uniformly, the additional internal stress on the electrical equipment on the ground is small, and it will not cause great harm. However, when the ground subsides unevenly, the additional internal stress on the electrical equipment on the ground is huge, which is easy to cause the electrical equipment to break, tilt or even fall, resulting in electrical equipment accidents [4].…”

Section: Introductionmentioning

confidence: 99%

Intelligent monitoring of substation infrastructure based on fiber Bragg grating flexible sensor

Zhu¹,

Li²,

Wang³

et al. 2023

Fourth International Conference on Optoelectronic Science and Materials (ICOSM 2022)

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To reduce the loss caused by uneven settlement of substation foundation buildings, it is urgent to carry out long-term and real-time monitoring of the engineering structure. The FBG (fiber Bragg grating) flexible sensor was fabricated by using the POM (polyoxymethylene) material with waterproof and moisture-proof properties as the flexible substrate, and encapsulating the sensing points in the substrate by means of grooves. Temperature sensing experiments have shown that flexible sensors have good temperature self-compensation properties. In the displacement sensing experiment, the mean absolute errors of Type 1, 2 and 3 were 2.67 mm, 2.77 mm and 6.76 mm, respectively, after the curvature information obtained by the sensing point was corrected by B-spline interpolation. Compared with before correction, the mean absolute errors were reduced by 38.28 mm, 9.94 mm and 28.54 mm, respectively. The mean absolute displacement error percentages of Type 1, 2, and 3 after correction by B-spline interpolation were 1.87%, 5.28%, and 6.98%, respectively, which were 26.83%, 18.94% and 29.49% lower than those before correction. The above has shown that the interpolation algorithm effectively improves the sensing accuracy of the flexible sensor for displacement. The FBG flexible sensor designed in this paper can realize real-time monitoring of substation settlement and provide early warning, which has important application and promotion value.

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“…Electric power substations play a crucial role in the power system, and any faults or abnormalities that occur in their equipment can have serious impacts on the power system [1]. For example, substation equipment failures can lead to unstable power grids, or even power outages, causing inconvenience and losses to people's production and daily lives.…”

Section: Introductionmentioning

confidence: 99%

Anomaly detection method of substation equipment based on CenterNet

Zhang,

Sun

2023

Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023)

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Deep learning has significantly advanced object detection algorithms in the area of abnormal detection for substation equipment. However, there are still several challenges and problems that hinder its effective application in this domain. Firstly, the scale of data acquisition is limited, which may affect the performance of deep learning models. Secondly, there are various types and shapes of substation equipment with complex backgrounds, which will also affect the detection performance of deep learning models. This paper proposes an improved CenterNet-based method for target detection of substation equipment. Firstly, we embedded a Non-Local attention mechanism in the backbone network ResNet50. The integration of the attention mechanism can effectively improve the model's ability to prioritize significant targets and minimize the negative impact of intricate backgrounds on its overall performance. Then, the DIOU loss is used to replace the center point offset loss and width-height loss to accelerate network convergence and improve model performance. The proposed method exhibits superior performance in substation equipment anomaly detection, as evidenced by experimental results, with a detection accuracy increase of 10.8% over the original method and outperforming existing techniques like Faster R-CNN.

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Monitoring and Prediction Analysis of Settlement for the Substation on Soft Clay Foundation

Cited by 3 publications

References 20 publications

Settlement monitoring for ultra-long GIS equipment based on weak fiber Bragg grating sensing

Settlement monitoring for ultra-long GIS equipment based on weak fiber Bragg grating sensing

Intelligent monitoring of substation infrastructure based on fiber Bragg grating flexible sensor

Anomaly detection method of substation equipment based on CenterNet

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