Measurement Method of Expansion in the Expansion Joint of Heat Supply Network Based on Distributed Optical Fiber Sensing
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摘要: 在热力管网中,膨胀节作为缓冲管道的关键部分,极易因变形扭曲引发泄漏故障,进而致使热网瘫痪.实时准确测量膨胀节的膨胀是评估管网健康状态的有效途径.对此,本文提出一种基于分布式光纤传感技术的膨胀节膨胀量的新型检测方法,建立了膨胀量检测模型,并通过实验验证了方法的有效性.研究结果表明,测量误差随着光纤绕制圈数增大而减小,通过调节绕制圈数,可以将误差范围控制在3%以内.这不仅为热网膨胀节的膨胀量检测提出了一种新思路,同时也为分布式光纤传感技术在热网健康状态检测领域的应用奠定了一定的理论基础.Abstract: As a key part of the buffer pipeline in the thermal network, the expansion joint can easily cause leakage failure due to its deformation and distortion, causing the thermal network to collapse. It is an important way to assess the health status of the pipeline network effectively by accurate measuring the expansion value of the expansion joint in real-time. Therefore, this paper presents a new detection method for expansion based on the distributed optical fiber sensing technology and establishes the expansion measurement model. The effectiveness of this method is verified by experiments. The research results show that the measurement error decreases as the number of optical fiber loops increases, and the measurement error can be controlled within 3% by adjusting the number of optical fiber loops. It not only provides a new idea for the expansion value detection of the expansion joint in heating network but also lays a theoretical basis for the application of distributed optical fiber sensing technology in the field of heating network.
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Key words:
- Distributed /
- optical fiber sensing /
- heating network /
- expansion measurement
1) 本文责任编委 孟凡利 -
表 1 实验器材表
Table 1 Experimental equipment table
名称 型号 直径(mm) 长度(mm) 温度范围(℃) 光纤线缆 GJFJKZH-1A1B 3.3 62 800 $-40\sim 120$ 柱形绝缘体 PVC 250 600 $\setminus$ 抽水泵 RS-2688 2 700 $\setminus$ 恒温水浴箱 HH600 $\setminus$ $\setminus$ $0\sim100$ 表 2 实验数据表
Table 2 Experimental data table
圈数 光纤线缆长度(mm) 显示距离(mm) 实际膨胀量(mm) 计算膨胀量(mm) 相对误差 0 0 0 0 0 0 1 785 1 000 3.3 4.2 0.27 5 3 925 4 000 16.5 16.82 0.0194 10 7 850 8 000 33.0 33.63 0.0191 15 11 775 12 000 49.5 50.45 0.0192 20 15 700 16 000 66.0 67.26 0.0191 25 19 625 20 000 82.5 84.08 0.0192 30 23 550 24 000 99.0 96.69 0.0233 35 27 475 27 000 115.5 113.50 0.0173 40 31 400 31 000 132.0 130.32 0.0127 45 35 325 35 000 148.5 147.13 0.0092 50 39 250 39 000 165.0 163.95 0.0064 55 43 175 43 000 181.5 180.76 0.0041 60 47 100 47 000 198.0 197.57 0.0022 65 51 025 51 000 214.5 214.39 0.0005 70 54 950 55 000 231.0 231.2 0.0008 75 58 875 59 000 247.5 248.02 0.0021 -
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