Intelligent monitoring of super high-rise building multi-well vertical cable laying and its production process

Abstract

The present application relates to the technical field of cable, especially to a kind of intelligent monitoring super high-rise building multi-well cable and its production process, including the whole continuous cable body being divided into first vertical section, horizontal translation section and second vertical section according to laying path, insulation wire core is not cut through whole cable, vertical section includes load-bearing composite reinforcing core filling strip, horizontal section is replaced by ordinary filling strip, cable body is integrated with distributed optical fiber sensing element, branch type cold shrink sealing anti-slip loosening device is installed at both ends of cable.The present application realizes the intelligent management of mechanical integrity, sealing reliability and full life cycle health status of super high-rise multi-well cable by double monitoring mechanism of distributed optical fiber sensing and terminal sealing embedded sensing, combined with self-repairing sealing material and AI edge computing module.

Description

Technical Field

[0001] This invention relates to the field of cable technology, and in particular to an intelligent monitoring cable for multi-shaft vertical laying in super high-rise buildings and its manufacturing process. Background Technology

[0002] Super high-rise buildings refer to buildings with a height exceeding 100 meters. Their main cables are typically laid vertically, with a single cable weighing 5 to 8 tons, requiring extremely high tensile strength. The applicant previously proposed a technical solution of setting a composite reinforcing core in the center of the cable core filler strip as a load-bearing unit, which solved the problems of large weight, poor heat dissipation, and large outer diameter of traditional steel wire armored cables. However, with the increasingly complex functional design of super high-rise buildings, equipment layers are increasingly located on the top floor. Cable shafts are often constrained by factors such as structural column grids, core tube layout, and functional zoning, making it impossible to run from the bottom to the top floor. Instead, they need to be horizontally moved in the intermediate equipment mezzanine and then transferred to another vertical cable shaft to continue laying, i.e., a multi-shaft vertical laying scenario. Existing technologies have the following defects and shortcomings: The sealing reliability of the load-bearing reinforcing core at the point where it exits the cable sheath is difficult to guarantee. The traditional patchwork repair method, which involves wrapping insulating waterproof tape and then installing heat-shrink tubing, is prone to detachment after the reinforcing core undergoes slight deformation under long-term tensile stress. The seal life is far shorter than the cable's own life. Condensation exists year-round in vertical shafts, and seal failure will lead to insulation dampness, decreased resistance, and even breakdown accidents. It cannot adapt to the continuous laying requirements of multiple shafts in vertical-horizontal-vertical sections. Simply cutting off the reinforcing core leads to a loss of tensile continuity, while the method of adding intermediate joints in sections does not comply with the regulations prohibiting joints in vertical shafts. Operational status cannot be perceived; the sealing status of the cable terminal and the stress state of the load-bearing reinforcing core are invisible, lacking pre-warning mechanisms. Seal failure is often only discovered after an insulation fault occurs. Furthermore, existing monitoring methods for suspended cables are limited to the terminal area, unable to obtain information on the temperature distribution along the cable route, let alone predictively assess the remaining lifespan of the cable throughout its entire life cycle. With the promotion of IoT and big data technologies, the need for real-time acquisition and intelligent analysis of cable operation data is increasingly urgent. Therefore, how to construct an intelligent vertically suspended cable that can be monitored in real time from the end to the whole length and has the ability to self-repair is a technical problem that urgently needs to be solved in this field. Summary of the Invention

[0003] The technical problem to be solved by this invention is that the sealing reliability of the reinforcing core lead-out end of the existing multi-shaft vertically laid cable in super high-rise buildings is poor, it is difficult to meet the needs of continuous laying in multiple shafts, there is a lack of full-size real-time monitoring means for the operating status, and the sealing defects cannot be repaired autonomously.

[0004] The technical solution adopted by this invention to solve its technical problem is: an intelligent monitoring cable for multi-shaft vertical laying of super high-rise buildings, comprising a continuous cable body, which is divided into a first vertical section, a horizontal translation section and a second vertical section according to the laying path. Three insulated cores run through the entire cable without interruption. The cable cores of the first and second vertical sections include three first filler strips with composite reinforcing cores with bearing capacity. The cable cores of the horizontal translation section include three second filler strips with the same cross-sectional shape as the first filler strips but without composite reinforcing cores. Distributed optical fiber sensing elements are integrated axially inside the cable body. The distributed optical fiber sensing elements are continuously arranged along the entire length of the cable body for real-time monitoring of temperature and strain distribution along the cable body. Branch-type cold-shrink sealing anti-slip and loosening devices are installed at the top of both the first and second vertical sections.

[0005] Furthermore, each insulated core consists of, from the inside out, a compacted circular conductor, a conductor shielding layer, a cross-linked polyethylene insulation layer, an insulation shielding layer, a metallic shielding layer, and a non-metallic sheath.

[0006] Furthermore, the distributed optical fiber sensing element is one or more tight-buffered single-mode or multi-mode optical fibers, embedded in the gap between the first or second filler strip and the sheath; both ends of the distributed optical fiber sensing element are provided with optical fiber interfaces for connecting to an external distributed optical fiber demodulator, and temperature and strain distributed measurement along the entire length of the cable is realized through Brillouin optical time domain reflection technology or Raman optical time domain reflection technology.

[0007] Furthermore, the branch-type cold-shrink sealing anti-slip and loosening device includes a main pipe and three branch pipes. The main pipe has a double-layer structure, consisting of an inner layer and an outer layer. After the inner diameter of the inner layer shrinks, it forms an interference fit with the outer sheath of the cable. The inner layer and the outer layer are connected by a movable seal. The three branch pipes branch off from one end of the main pipe and, after their inner diameters shrink, wrap around the outer surface of the three composite reinforcing cores to form independent interference fit seals.

[0008] Furthermore, it also includes an AI edge computing module installed at the top of the first or second vertical segment. The AI ​​edge computing module includes a microprocessor, a memory, and a wireless communication unit, and is electrically connected to the fiber optic interface of the distributed fiber optic sensing element, the first miniature passive sensor, and the second miniature passive sensor via signal lines. The AI ​​edge computing module has a pre-built anomaly detection model based on deep learning, which is used to fuse and analyze multi-source sensing data and output cable health status assessment and remaining life prediction results. The AI ​​edge computing module is powered by mains power or batteries within the building.

[0009] Furthermore, the distributed optical fiber sensing element is arranged parallel to the first and second filler strips along the entire length of the cable. It is laid in an S-shape or spiral bend at the junction of the first vertical section and the horizontal translation section and at the junction of the horizontal translation section and the second vertical section. The change in optical power loss in the bend section indirectly reflects the axial displacement and bending deformation of the junction area.

[0010] Furthermore, a first miniature passive sensor, which is a humidity sensor, is pre-embedded in the inner wall of the main pipe; a second miniature passive sensor, which is a strain sensor, is embedded in the inner wall of the branch pipe; both the first and second miniature passive sensors are made passive using surface acoustic wave technology or radio frequency identification technology, and an external handheld reader acquires the sensing data in a non-contact radio frequency manner.

[0011] The beneficial effects of this invention are as follows: It achieves distributed real-time monitoring of temperature and strain across the entire cable length using distributed optical fiber sensing elements, overcoming the limitations of traditional methods that only monitor the terminal sealing area; through the sealing enhancement mechanism of the self-healing microcapsules in the branched cold-shrink sealing anti-slip and loosening device, it realizes the autonomous repair of micro-cracks in the sealing material, fundamentally solving the long-standing technical problem of unreliable sealing at the reinforcing core lead-out end; and through multi-source fusion analysis of distributed optical fiber sensing data and terminal passive sensor data using an AI edge computing module, combined with a deep learning anomaly detection model, it achieves early warning of sealing failure and stress anomalies, as well as prediction of remaining lifespan, improving the intelligent level of cable lifecycle management. Attached Figure Description

[0012] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0013] Figure 1 This is a schematic diagram of the overall cable structure segmented according to the present invention.

[0014] Figure 2 yes Figure 1 A cross-sectional view of the central branch type cold shrink seal anti-slip loosening device after installation.

[0015] Figure 3 yes Figure 1 A schematic diagram of the installation structure where the protective layer is peeled off at the ends of the first and second vertical sections to expose the composite reinforcing core.

[0016] Figure 4 yes Figure 1 A schematic diagram of the installation structure where the protective layer is peeled off to expose the composite reinforcing core in the middle horizontal translation section.

[0017] Explanation of reference numerals in the attached drawings: 100. Cable body; 100A. First vertical section; 100B. Horizontal translation section; 100C. Second vertical section; 110. Insulated core; 111. Compacted round conductor; 112. Conductor shielding layer; 113. Cross-linked polyethylene insulation layer; 114. Insulating shielding layer; 115. Metallic shielding layer; 116. Non-metallic sheath; 120. First filler strip; 121. Composite reinforcing core; 122. Filler body; 130. Second filler strip; 140. Sheath; 141. Outer sheath; 200 210. Branch-type cold-shrink sealing anti-slip loosening device; 211. Main pipe; 212. Main pipe inner structure; 213. Main pipe outer structure; 220. Branch pipe; 222. Wedge clamp; 221. Steel anchor; 300. First lifting device; 310. First miniature passive sensor; 320. Second miniature passive sensor; 400. Second lifting device; 510. Distributed fiber optic sensing element; 520. Fiber optic interface; 530. Distributed fiber optic demodulator; 540. AI edge computing module; 560. Self-healing microcapsule. Detailed Implementation

[0018] The present invention will now be described in further detail with reference to the accompanying drawings. These drawings are simplified schematic diagrams, illustrating only the basic structure of the invention, and therefore only show the components relevant to the invention.

[0019] In the description of this invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. The term "comprising" means including but not limited to the element. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0020] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0021] like Figures 1 to 4As shown, this embodiment is applied to a super high-rise building. The cable needs to be laid vertically from the underground substation through a shaft to the intermediate equipment mezzanine, and then horizontally moved into an adjacent shaft to continue upwards to the top floor. The cable body 100 is a continuous structure, divided into a first vertical section 100A, a horizontally moved section 100B, and a second vertical section 100C according to the laying path. Three insulated cores 110 run through the entire cable without interruption. Each insulated core 110 consists of, from the inside out, a compacted circular conductor 111, a conductor shielding layer 112, a cross-linked polyethylene insulation layer 113, an insulation shielding layer 114, a metallic shielding layer 115, and a non-metallic sheath 116. The conductor shielding layer 112, the cross-linked polyethylene insulation layer 113, and the insulation shielding layer 114 are co-extruded into three layers.

[0022] The cable core of the first vertical section 100A is composed of three insulated cores 110 and three first filler strips 120 twisted together. The first filler strip 120 has a fan-shaped cross-section, with a stranded carbon fiber composite reinforcing core 121 at its center. The composite reinforcing core 121 is surrounded by a low-density polyethylene fan-shaped filler body 122. The outer arc surface of the filler body 122 is attached to the inner wall of the sheath 140, and the two side arc surfaces are attached to the outer surfaces of the two adjacent insulated cores 110 respectively. The cable core of the horizontal translation section 100B is also composed of three continuously connected insulated cores 110, but the filler strip is replaced by a second filler strip 130. The second filler strip 130 is a solid polyethylene fan-shaped strip without the composite reinforcing core 121, and its cross-sectional shape is consistent with that of the first filler strip 120 to maintain a uniform cable outer diameter. At the end of the horizontal translation section 100B, the cable core of the second vertical section 100C switches back to the first filler strip 120, restoring the load-bearing function of the composite reinforcing core 121. The cable core consists of, in sequence, a non-woven fabric wrapping layer, a medium-density polyethylene inner sheath, a copper wire shielding layer, and an outermost high flame-retardant polyethylene outer sheath 141.

[0023] In this embodiment, a distributed optical fiber sensing element 510 is integrated axially inside the cable body 100. A semi-circular groove is pre-set axially on the outer arc surface of the first filler strip 120 and the second filler strip 130 near the sheath 140. The distributed optical fiber sensing element 510 is embedded in this groove, fixed with hot melt adhesive, and then extruded and encapsulated by the inner sheath of the sheath 140 to completely embed it between the filler strip and the inner sheath. The distributed optical fiber sensing element 510 is a tight-buffered single-mode optical fiber, continuously arranged along the entire length of the cable body 100 without interruption when switching between the first filler strip 120 and the second filler strip 130. At the junction of the first vertical segment 100A and the horizontal translation segment 100B, and at the junction of the horizontal translation segment 100B and the second vertical segment 100C, the distributed optical fiber sensing element 510 is laid in an S-shaped bend, indirectly reflecting the axial displacement and bending deformation of the junction area through the change in optical power loss in the bend. Both ends of the distributed fiber optic sensing element 510 are equipped with standard FC / APC fiber optic interfaces 520 for connecting to the distributed fiber optic demodulator 530. The distributed fiber optic demodulator 530 uses Brillouin optical time-domain reflectometry to perform distributed temperature and strain measurements along the entire length of the cable 100 with a spatial resolution of 10 cm and a temperature resolution of 0.1 degrees Celsius.

[0024] like Figure 2 and Figure 3As shown, the top of the first vertical section 100A is the cable start end, and the top of the second vertical section 100C is the cable end. After stripping the outer sheath 141 of a predetermined length, three composite reinforcing cores 121 are exposed. A branch-type cold-shrink sealing anti-slip and loosening device 200 is installed at this position. The branch-type cold-shrink sealing anti-slip and loosening device 200 is an integral structure injection molded from high-elasticity silicone rubber, including a main pipe 210 and three branch pipes 220. The main pipe 210 has a double-layer structure, consisting of an inner layer structure 211 and an outer layer structure 212. After the inner diameter of the inner layer structure 211 shrinks, it wraps around the outer surface of the outer sheath 141 of the cable body 100 to form an interference fit seal. The inner layer structure 211 and the outer layer structure 212 are connected by a movable seal. When the suspended cable operates under long-term suspension and its own weight load reaches 30kN to 50kN, the outer sheath 141 of the cable body 100 will slightly slide down under its own weight. The inner structure 211 will move down synchronously with the outer sheath 141, while the outer structure 212 will remain relatively fixed. Therefore, long-term tensile stress will not be generated between the main pipe 210 and the branch pipe 220, effectively preventing the sealing device from slipping or loosening. The three branch pipes 220 branch out from one end of the main pipe 210, and their inner diameters shrink to wrap around the outer surface of the three composite reinforcing cores 121 to form independent interference fit seals. 2% to 5% by mass of self-healing microcapsules 560 are uniformly dispersed in the silicone rubber matrix material of the main pipe 210 and the branch pipe 220. The self-healing microcapsules 560 use a polyurea shell to encapsulate dicyclopentadiene repair agent with a particle size range of 10 to 30 micrometers, and a ruthenium-based catalyst is attached to the inner surface of the shell wall. When the silicone rubber matrix develops microcracks due to long-term stress or environmental aging, the crack tip extends to the microcapsule, causing the shell wall to rupture. The encapsulated dicyclopentadiene repair agent undergoes ring-opening metathesis polymerization under the initiation of a ruthenium-based catalyst, forming a cross-linked polymer that fills the microcracks, achieving self-repair of the seal.

[0025] A first miniature passive sensor 310 is embedded in the sealing mortar layer on the inner wall of the main pipe 210 of the branch-type cold-shrink sealing anti-slip and loosening device 200. The first miniature passive sensor 310 is a humidity sensor used to monitor the absolute humidity value inside the sealed cavity. A second miniature passive sensor 320 is embedded in the mortar layer at the interface between the inner wall of one of the branch pipes 220 and the composite reinforcing core 121. The second miniature passive sensor 320 is a strain sensor used to indirectly monitor the axial strain of the composite reinforcing core 121. Both the first miniature passive sensor 310 and the second miniature passive sensor 320 adopt surface acoustic wave technology and acquire sensing data non-contactly via radio frequency using an external handheld reader, with a reading distance of approximately 1.5 meters.

[0026] The core of the intelligent monitoring in this embodiment is the AI ​​edge computing module 540, which is installed in the suspended area at the top of the first vertical section 100A. The AI ​​edge computing module 540 includes an ARM architecture microprocessor, 512MB DDR3 memory, a LoRaWAN wireless communication unit, and a multi-channel analog signal acquisition circuit. The AI ​​edge computing module 540 is electrically connected to the fiber optic interface 520 of the distributed fiber optic demodulator 530, the first miniature passive sensor 310, and the handheld reader of the second miniature passive sensor 320 via signal lines. The AI ​​edge computing module 540 is powered by the building's mains power or a battery and is equipped with an uninterruptible power supply module to ensure continuous operation for at least 4 hours in the event of a power outage. The AI ​​edge computing module 540 has a pre-built deep learning anomaly detection model based on a convolutional autoencoder, which was trained on a large amount of normal operating condition data and various fault simulation data before leaving the factory. During operation, the model performs multi-parameter fusion analysis on the distributed fiber temperature distribution curve, fiber strain distribution curve, sealed cavity humidity value, and composite reinforcing core strain value, outputting a cable health index with a continuous score from 0 to 100 and an estimated remaining lifespan percentage. When the health index falls below a preset threshold or the abnormal confidence level output by the fusion model exceeds 85%, the AI ​​edge computing module 540 sends a graded early warning signal to the operation and maintenance platform via the LoRaWAN network.

[0027] The manufacturing process of the cable in this embodiment is as follows: Step 1: Three insulated cores 110 are continuously produced by conductor stranding and three-layer co-extrusion without being cut along the entire cable length. Step 2: A first filler strip 120 containing a carbon fiber composite reinforcing core 121 and a second filler strip 130 without the composite reinforcing core 121 are prefabricated, and semi-circular grooves are preset along the axial direction on the outer arc surface of both filler strips. Step 3: Tight-buffered single-mode optical fiber is embedded as a distributed optical fiber sensing element 510 into the preset grooves and fixed with UV-cured adhesive at 20 cm intervals. Step four: The cable is continuously stranded into sections. At the boundary marker between the first vertical section 100A and the horizontal translation section 100B, the insulated core 110 is not cut off. The first filler strip 120 is removed one by one and simultaneously introduced into the second filler strip 130. At the boundary marker between the horizontal translation section 100B and the second vertical section 100C, the process is reversed, and the second filler strip 130 is removed and simultaneously introduced into the first filler strip 120. The distributed optical fiber sensing element 510 remains continuously connected throughout the entire process, and the cable outer diameter is consistent. Step five: A non-woven fabric wrapping layer, a medium-density polyethylene inner sheath, a copper wire shielding layer, and a high flame-retardant polyethylene outer sheath are continuously extruded. The extrusion temperature of the sheath is controlled within the range of 150 to 180 degrees Celsius to ensure that the distributed optical fiber sensing element 510 is not damaged. Step six: Remove the sheaths of a predetermined length from both ends of the cable to expose three composite reinforcing cores 121. Install a branch-type cold-shrink sealing anti-slip and loosening device 200, which is pre-embedded with a first miniature passive sensor 310, a second miniature passive sensor 320, and a self-healing microcapsule 560. Lead out the end of the distributed optical fiber sensing element 510 and install an FC / APC optical fiber interface 520, connect it to the AI ​​edge computing module 540, and connect it to an external power supply.

[0028] The intelligent monitoring workflow of this embodiment is as follows. During installation, after the cable is laid and fixed, a handheld reader is used to read the initial humidity and initial strain values ​​of the first miniature passive sensor 310 and the second miniature passive sensor 320, respectively. The distributed fiber optic demodulator 530 is activated to obtain the initial temperature and strain distribution baselines. The AI ​​edge computing module 540 is connected to the LoRaWAN network and the initial data is uploaded to the operation and maintenance platform for initialization calibration. During operation, the distributed fiber optic demodulator 530 collects temperature and strain distribution curves along the entire length of the cable 100 at a frequency of once per minute. The first miniature passive sensor 310 and the second miniature passive sensor 320 are read every four hours by the handheld reader, or automatically polled by a fixed reader. The above multi-source data is input in real time into the deep learning model of the AI ​​edge computing module 540 for fusion analysis. When the AI ​​edge computing module 540 detects that the humidity inside the sealed cavity increases by more than 50% from the baseline value within 24 hours or the strain of the composite reinforcing core 121 continues to increase unidirectionally by more than 15% of the initial value, it issues a sealing inspection warning or structural stress anomaly warning via LoRaWAN.

[0029] Based on the above-described preferred embodiments of the present invention, and through the foregoing description, those skilled in the art can make various changes and modifications without departing from the inventive concept. The technical scope of this invention is not limited to the contents of the specification, but must be determined according to the scope of the claims.

Claims

1. A smart monitoring cable for multi-shaft vertical installation in high-rise buildings, comprising a continuous cable body (100), the cable body (100) being divided into a first vertical section (100A), a horizontal translation section (100B), and a second vertical section (100C) according to the laying path, with three insulated cores (110) running uninterruptedly throughout the cable, the cable cores of the first vertical section (100A) and the second vertical section (100C) containing three first filler strips (120) with composite reinforcing cores (121), and the cable cores of the horizontal translation section (100B) containing three second filler strips (130) with the same cross-sectional shape as the first filler strips (120) but without composite reinforcing cores (121), characterized in that: The cable body (100) is internally integrated with distributed optical fiber sensing elements (510) along the axial direction. The distributed optical fiber sensing elements (510) are continuously arranged along the entire length of the cable body (100) to monitor the temperature distribution and strain distribution along the cable body in real time. The top ends of the first vertical section (100A) and the second vertical section (100C) are both equipped with branch-type cold shrink sealing anti-slip loosening devices (200).

2. The intelligent monitoring cable for multi-shaft vertical laying in super high-rise buildings according to claim 1, characterized in that: Each insulated conductor (110) consists of, from the inside out, a compacted round conductor (111), a conductor shielding layer (112), a cross-linked polyethylene insulation layer (113), an insulation shielding layer (114), a metallic shielding layer (115), and a non-metallic sheath (116).

3. The intelligent monitoring cable for multi-shaft vertical laying in super high-rise buildings according to claim 1, characterized in that: The distributed optical fiber sensing element (510) is one or more tight-buffered single-mode or multi-mode optical fibers, which are embedded in the gap between the first filler strip (120) or the second filler strip (130) and the sheath (140). The distributed optical fiber sensing element (510) is provided with optical fiber interfaces (520) at both ends for connecting to an external distributed optical fiber demodulator (530) to achieve distributed measurement of temperature and strain along the entire length of the cable through Brillouin optical time domain reflection technology or Raman optical time domain reflection technology.

4. The intelligent monitoring cable for multi-shaft vertical laying in super high-rise buildings according to claim 1, characterized in that: The branch-type cold shrink sealing anti-slip loosening device (200) includes a main pipe (210) and three branch pipes (220). The main pipe (210) has a double-layer structure, which is divided into an inner layer structure (211) and an outer layer structure (212). After the inner diameter of the inner layer structure (211) shrinks, it forms an interference fit with the outer sheath (141) of the cable body (100). The inner layer structure (211) and the outer layer structure (212) are connected by a movable seal. The three branch pipes (220) are branched off from one end of the main pipe (210) and after the inner diameter shrinks, they are respectively wrapped around the outer surface of the three composite reinforcing cores (121) to form independent interference fit seals.

5. The intelligent monitoring cable for multi-shaft vertical laying in super high-rise buildings according to claim 4, characterized in that: It also includes an AI edge computing module (540) installed at the top of the first vertical segment (100A) or the top of the second vertical segment (100C). The AI ​​edge computing module (540) includes a microprocessor, a memory and a wireless communication unit, and is electrically connected to the fiber optic interface (520) of the distributed fiber optic sensing element (510), the first miniature passive sensor (310) and the second miniature passive sensor (320) through signal lines respectively. The AI ​​edge computing module (540) is pre-loaded with an anomaly detection model based on deep learning, which is used to perform fusion analysis on multi-source sensing data and output the cable health status assessment and remaining life prediction results. The AI ​​edge computing module (540) is powered by the building's mains power or a battery.

6. The intelligent monitoring cable for multi-shaft vertical laying in super high-rise buildings according to claim 1, characterized in that: The distributed optical fiber sensing element (510) is arranged parallel to the first filler strip (120) and the second filler strip (130) along the entire length of the cable body (100). It is laid in an S-shape or spiral bend at the junction of the first vertical section (100A) and the horizontal translation section (100B) and the junction of the horizontal translation section (100B) and the second vertical section (100C). The change in optical power loss of the bend section indirectly reflects the axial displacement and bending deformation of the junction area.

7. The intelligent monitoring cable for multi-shaft vertical laying in super high-rise buildings according to claim 4, characterized in that: The inner wall of the main pipe (210) is pre-embedded with a first miniature passive sensor (310), which is a humidity sensor; the inner wall of the branch pipe (220) is pre-embedded with a second miniature passive sensor (320), which is a strain sensor; both the first miniature passive sensor (310) and the second miniature passive sensor (320) are made passive using surface acoustic wave technology or radio frequency identification technology, and the external handheld reader acquires the sensing data in a non-contact radio frequency manner.

8. A manufacturing process for intelligent monitoring of multi-shaft vertically laid cables in super high-rise buildings as described in any one of claims 1 to 7, characterized in that: Includes the following steps: Step 1: Three insulated wire cores (110) are continuously produced by conductor stranding and three-layer co-extrusion without cutting them within the entire cable length; Step 2: A first filler strip (120) containing a composite reinforcing core and a second filler strip (130) without a composite reinforcing core are prefabricated, and semi-circular grooves for accommodating distributed optical fiber sensing elements (510) are pre-set along the axial direction on the outer arc surface of the two filler strips; Step 3: The distributed optical fiber sensing element (510) is embedded into the pre-set groove and fixed with hot melt adhesive or UV curing adhesive dot matrix; Step 4: The cable is continuously stranded into sections, and at the boundary mark between the first vertical section (100A) and the horizontal translation section (100B), the insulated wire cores (110) are not cut off, and the first filler strips (120) are removed one by one and simultaneously guided. Insert the second filler strip (130), and at the boundary mark between the horizontal translation section (100B) and the second vertical section (100C), remove the second filler strip (130) and simultaneously introduce the first filler strip (120). The distributed optical fiber sensing element (510) is kept continuously connected throughout the entire process, and the outer diameter of the cable is consistent. Step five, continuously extrude the wrapping layer, inner sheath, shielding layer and outer sheath. The sheath extrusion temperature is controlled within the range to prevent damage to the distributed optical fiber sensing element (510). Step six, remove the sheath of a predetermined length at both ends of the cable, install the branch-type cold shrink sealing anti-slip loosening device (200), lead out the end of the distributed optical fiber sensing element (510) and install the optical fiber interface (520), and connect it to the AI ​​edge computing module (540).

9. The manufacturing process for intelligent monitoring of multi-shaft vertically laid cables in super high-rise buildings according to claim 8, characterized in that: In step two, the composite reinforcing core (121) of the first filler strip (120) containing the composite reinforcing core is a stranded carbon fiber composite reinforcing core; in step six, before the branch-type cold shrink sealing anti-slip loosening device (200) is installed, the first micro passive sensor (310) is pre-embedded in the sealing mortar layer on the inner wall of the main pipe (210), and the second micro passive sensor (320) is pre-embedded in the sealing mortar layer on the inner wall of the branch pipe (220). Self-healing microcapsules (560) are uniformly dispersed in the silicone rubber matrix material.

10. An intelligent monitoring method for intelligent monitoring of multi-shaft vertically laid cables in super high-rise buildings as described in any one of claims 1 to 7, characterized in that: Temperature and strain distribution data are collected in real time along the entire length of the cable (100) using distributed optical fiber sensing elements (510). Humidity data of the sealed cavity is collected by a first miniature passive sensor (310), and axial strain data of the composite reinforcing core (121) is collected by a second miniature passive sensor (320). The above multi-source sensing data are collected by the AI ​​edge computing module (540), and multi-parameter fusion analysis is performed by a preset deep learning anomaly detection model. When any sensor data exceeds the preset threshold range or the anomaly confidence level output by the data fusion model exceeds the set value, a warning signal of the corresponding level is issued.

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