Railway tunnel leakage long-distance distributed monitoring method based on self-heating optical cable

Abstract

The invention discloses a railway tunnel leakage long-distance distributed monitoring method based on a self-heating optical cable, and the method comprises the following steps: i, pre-embedding the self-heating optical cable along a tunnel leakage water risk point, and the self-heating optical cable comprises a heating copper wire and a temperature-sensitive optical fiber; ii, connecting the self-heating optical cable to a distributed temperature measurement optical fiber demodulator and heating control equipment; iii, connecting the distributed temperature measurement optical fiber demodulator and the heating control equipment to a computer; iv, controlling the self-heating optical cable to perform constant-power heating by the computer; v, judging the position of the water leakage pointby the computer according to the heating rate along the optical cable. After the temperature-sensitive optical fiber and the heating copper wire are packaged, pre-embedded installation in the construction period is facilitated, the heating control equipment and the computer guarantee controllable heating energy consumption and automation of monitoring work, and the monitoring cost in the operation period is greatly reduced compared with manual inspection.

Description

technical field [0001] The invention relates to the field of railway tunnel engineering, in particular to a long-distance distributed monitoring method for railway tunnel leakage based on self-heating optical cables. Background technique [0002] With the development of my country's railway industry, the number of tunnel projects is also increasing. Due to factors such as survey, design, construction defects during tunnel construction, and unfavorable structural maintenance during operation, water leakage in tunnel structures has become a major issue in the safe operation of railway tunnels. threaten. In addition to causing structural hazards such as voiding behind the lining and corrosion of steel bars, water leakage in the tunnel will also affect the normal operation of live equipment in the tunnel and cause problems such as short circuits, which must be paid enough attention to by railway operators. [0003] Leakage in tunnels mostly occurs at construction joints, deforma...

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Problems solved by technology

[0003] Leakage in tunnels mostly occurs at construction joints, deformation joints, expansion joints, and parts with poor pouring quality of vaults. At present, railway operating units mainly monitor tunnel leakage by means of personnel inspection during skylight time, which has high labor costs and high monitoring costs. Low efficiency, the development of distributed sensing technology has brought the possibility of automatic monitoring of water seepage in railway tunnels

[0004] At present, quasi-distributed water leakage sensing elements and distributed water leakage sensing cables based on the moisture-sensitive mechanical properties of the armor layer have been developed at home and abroad. Among them, although the quasi-distributed water leakage sensing elements can By increasing the number of component layouts, the effect of distributed monitoring is close, but its cost is high, and it is mostly used for short-term monitoring of high-risk points of water leakage

The distributed water leakage sensing technology based on the moisture-sensitive mechanical properties of the armor layer uses the armor layer with moisture-sensitive mechanical properties to wrap the sensing optical fiber. When water leakage occurs, the armor layer will strain and drive the internal sensing optical cable. Deformation, through the distributed optical fiber strain sensing technology to indirectly sense the location of the water leakage, but the sensing accuracy and reliability of the armor layer in this technology are difficult to guarantee under the alternating dry and wet conditions, so it is suitable for one-time alarm , it is difficult to be competent for the tunnel water leakage detection in the whole life cycle

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