Abnormal processing method, system and terminal for oil field detection optical cable

Abstract

The present invention relates to an abnormality handling method, system, and terminal for oilfield detection optical cables, and relates to the field of communication optical cable detection. The method comprises: collecting the signal transmission status of the detection optical cable from a platform end; based on the inconsistency between the signal transmission status and a preset reference signal status, controlling a preset optical time domain reflectometer to perform detection at a preset reference detection position of the detection optical cable and collecting feedback waveform information; identifying a preset mutation signal from the feedback waveform information; analyzing the mutation signal from the feedback waveform information to determine the abnormality distance, and determining the abnormal position based on the reference detection position and the abnormality distance; controlling a preset repair robot to move to the abnormal position along a preset cable laying path, detecting and repairing the abnormality of the detection optical cable. The present application has the effect of reducing the risk of abnormality inspection and maintenance of oilfield detection optical cables.

Description

Technical Field

[0001] The present invention relates to the field of communication optical cable detection, and in particular to an abnormality processing method, system and terminal for detecting optical cables used in oil fields. Background Art

[0002] The application of detection optical cables is very extensive and is widely used in various important supporting facilities of the national economy. In order to adapt to the requirements of laying methods and operating environments, the structure of optical cables is also constantly evolving.

[0003] When optical fiber detection cables are used in oilfields, they are laid beneath oilfield transportation pipelines. These pipelines are complex environments characterized by high pressure, high corrosion, and unstable rock walls. These optical fiber cables are easily damaged and deformed, rendering them inoperable for fiber optic detection. When optical fiber transmission failures occur, personnel often need to enter the oil well for inspection and repair, a risky process that needs improvement. Summary of the Invention

[0004] In order to reduce the risk of abnormal inspection and maintenance of oilfield detection optical cables, the present invention provides an abnormality processing method, system and terminal for oilfield detection optical cables.

[0005] In a first aspect, the present invention provides a method for handling abnormalities in an oilfield detection optical cable, which adopts the following technical solution:

[0006] A method for handling abnormalities of an oilfield detection optical cable, comprising:

[0007] S100: Collect and detect the signal transmission status of the optical cable from the platform end;

[0008] S101: Based on the inconsistency between the signal transmission state and the preset reference signal state, controlling a preset optical time domain reflectometer to perform detection at a preset reference detection position of the detection optical cable and collecting feedback waveform information;

[0009] S102: Identifying a preset mutation signal from the feedback waveform information;

[0010] S103: Analyze the sudden change signal from the feedback waveform information to determine the abnormal distance, and determine the abnormal position based on the reference detection position and the abnormal distance;

[0011] S104: Control a preset repair robot to move to the abnormal position along a preset cable laying path, detect the abnormal problem of the detection optical cable and repair it.

[0012] By employing this technical solution, the system collects and analyzes feedback waveform information at the platform outside the oil well to identify a sudden change signal. This signal then locates the abnormality on the detection cable. Once the abnormality is located, the system controls a repair robot to travel to the abnormal location, detect the problem, and perform targeted repairs. This method for handling abnormalities in the detection cable eliminates the need for on-site personnel and offers increased safety.

[0013] Optional anomaly detection methods include:

[0014] S200: Controlling the repair robot to collect an image of the abnormal position at the abnormal position;

[0015] S201: Analyze the abnormal position image to determine whether the detection optical cable is covered with foreign matter;

[0016] S202: When the detection optical cable is covered with foreign matter, the repair robot is controlled to remove the foreign matter and re-collect an image of the abnormal position;

[0017] S203: Identify the detection optical cable from the abnormal position image and determine the optical cable path;

[0018] S2041: When the optical cable path is curved, control the repair robot to straighten and repair the detection optical cable using a preset optical cable bending restoration method;

[0019] S2042: When the optical cable path is a straight line, identify the detection optical cable from the abnormal position image to determine whether the detection optical cable surface is damaged;

[0020] S20421: When and only when damage is detected on the surface of the optical cable, control the repair robot to repair the surface of the optical cable using a preset optical cable damage repair method.

[0021] Optionally, the foreign matter includes rocks, and the method for the repair robot to remove the rocks includes:

[0022] S300: identifying a preset rock feature from the abnormal position image to determine whether the rock feature is integral;

[0023] S301: Based on the rock feature as a whole, the rock feature is identified from the abnormal position image to determine the shape feature of the rock feature;

[0024] S302: Analyze the shape characteristics to determine the symmetrical support position of the rock bottom;

[0025] S303: Controlling the repair robot to extend two preset pry arms into symmetrical support positions, applying a lifting force vertically upward to the rock feature with a preset lifting force, and increasing the lifting force with a preset lifting growth force until the pry arms lift the rock feature to a preset lifting height;

[0026] S304: Analyze the shape features to determine the inclination of the pry arm;

[0027] S305: Matching the optical cable path to the horizontal and vertical directions of the optical cable path;

[0028] S306: controlling the pry arm to tilt in the trending direction using the pry arm inclination to drive the rock feature to slide down along the pry arm.

[0029] Optional, non-integral treatments of rock features include:

[0030] S400: Based on the non-integrated rock features, the rock features are analyzed from the abnormal position image to determine the stacking distribution state of the rock pile;

[0031] S401: Numbering the stones in the outer circle of the stone pestle from top to bottom based on the stacking distribution state to obtain a picking number;

[0032] S402: Controlling the repair robot to pick up the stone with a preset picking force according to the picking number;

[0033] S403: During the picking process, after each rock is picked up, the rock features are identified from the abnormal position image to determine whether there is an obstructed rock;

[0034] S4041: When there is no blocked stone, continue to control the repair robot to pick up the stone using the picking number;

[0035] S4042: When there are obstructed stones, the remaining stones are analyzed from the abnormal position image to determine the stacking status of the remaining stones;

[0036] S40421: Get the correction number based on the remaining stone stacking status;

[0037] S40422: Replace the picking number with the correction number, and control the repair robot to pick according to the correction number.

[0038] Optionally, also include:

[0039] S500: controlling the repair robot to cover the detection optical cable with a protective cover of a preset covering length at both ends of the rock feature along the optical cable path;

[0040] S501: During the picking process, matching the corresponding stone based on the picking number and marking it as a stone to be picked up;

[0041] S502: Analyze the stacking distribution state from the abnormal position image to determine the abutting stones pressed by the stones to be picked up and the supporting stones located below the abutting stones to support the abutting stones, and determine the positions of the abutting stones;

[0042] S503: Analyze the abutting stone from the abnormal position image to determine the estimated center of gravity position of the stone;

[0043] S504: Analyze the supporting stone from the abnormal position image to determine the top supporting area of ​​the supporting stone;

[0044] S505: Determine whether the estimated center of gravity of the stone falls within the top support area;

[0045] S506: If and only if the estimated center of gravity position of the stone exceeds the range of the top support area, control the repair robot to clamp and fix the abutting stone at the abutting stone position, and then control the repair robot to pick up the stone to be picked up.

[0046] Optionally, the repair robot is provided with a crimping box having a crimping cavity for placing the optical cable, and the length and width of the crimping cavity are adjustable; the method for restoring the bent optical cable includes:

[0047] S600: Identify the detection optical cable from the abnormal position image to determine the bent section of the optical cable;

[0048] S601: Cutting a preset processing length of detection optical cable from a bent section of the optical cable and defining it as an optical cable processing section;

[0049] S602: Determine the width of the processing section based on the optical cable processing section;

[0050] S603: Matching a preset wire crimping cavity width of a wire crimping box based on the width of the processing section area;

[0051] S604: Controlling the repair robot to lift the bent section of the optical cable to a preset processing height, placing the crimping box under the bent section of the optical cable, and re-inserting the bent section of the optical cable into the crimping cavity;

[0052] S605: Matching the amount of cotton sand to be poured based on the width of the crimping cavity, the preset length of the crimping cavity, and the preset height of the crimping cavity, and filling the crimping cavity with the cotton sand;

[0053] S606: Control the repair robot to pour the cotton sand into the wire pressing cavity according to the cotton sand pouring amount, and control the repair robot to squeeze inward from both sides in the width direction of the wire pressing box with a preset wire pressing force.

[0054] Optionally, also include:

[0055] S700: collecting images of the wire pressing box during the extrusion process;

[0056] S701: Analyze the bent section of the optical cable from the crimping box image to determine the angle at which the bent section of the optical cable extends out of the crimping cavity;

[0057] S702: Determine a change in the outgoing line angle within a preset acquisition time based on the outgoing line angle;

[0058] S703: Matching the horizontal movement of the wire pressing box based on the change in the wire outlet angle;

[0059] S704: During the extrusion process, the repair robot is synchronously controlled to horizontally move the pressing box along the width direction of the pressing box with a horizontal movement amount to adapt to the bending restoration process of the detection optical cable.

[0060] Optionally, the detection optical cable includes, from the inside out, an optical fiber, a water-blocking gel, a loose tube, a steel wire, and an outer sheath. When the damage reaches the water-blocking gel, the optical cable damage repair method includes:

[0061] S800: Identify the detection optical cable from the abnormal position image to determine the location and outline of the damaged area;

[0062] S801: fitting a maximum circumscribed circle based on the damaged area contour and matching the preset part specifications of the repair part, where the part specifications refer to the aperture value of the repair hole preset in the repair part;

[0063] S802: Controlling the repair robot to press the repair part onto the detection optical cable at the damaged area to fix the detection optical cable, and aligning the repair hole of the repair part with the damaged area;

[0064] S803: Analyze the position of the damaged area from the abnormal position image to determine the vertical distance from the damaged water-blocking fiber paste to the outer sheath surface;

[0065] S804: Matching a preset insertion depth of the heating probe into the repair hole based on the vertical distance;

[0066] S805: Controlling the repair robot to insert the heating probe into the repair hole according to the insertion depth and heating the water-blocking fiber paste at a preset heating temperature;

[0067] S806: Pour the melted water-blocking fiber paste into the repair hole according to a preset filling amount, and control the sealing bolt to cooperate with the repair hole to press the water-blocking fiber paste tightly and seal it.

[0068] In a second aspect, the present application provides an abnormality handling system for oilfield detection optical cables, which adopts the following technical solutions:

[0069] An abnormality processing system for an oilfield detection optical cable comprises:

[0070] An acquisition module is used to collect signal transmission status, feedback waveform information, abnormal position images, and wire pressing box images;

[0071] A memory for storing a program for any one of the above-mentioned methods for handling abnormalities of an oilfield detection optical cable;

[0072] The program in the memory can be loaded and executed by the processor to implement an abnormality processing method for an oil field detection optical cable.

[0073] In a third aspect, the present application provides a terminal that adopts the following technical solution:

[0074] A terminal comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute any one of the above-mentioned methods for handling abnormalities of an oilfield detection optical cable.

[0075] In summary, this application includes at least one of the following beneficial technical effects:

[0076] The system collects and analyzes feedback waveform information at the platform outside the oil well to identify a sudden change signal. This signal then determines the location of the abnormality on the detection cable. Once the abnormality is located, the system controls a repair robot to go to the abnormal location to detect the abnormality and perform targeted repairs. This method of handling abnormalities in the detection cable does not require manual on-site processing, and is highly secure.

[0077] When stones are piled up at an abnormal position of the detection cable, the system can analyze the stacking status of the stones and remove the stones one by one while ensuring that the stone pile does not collapse and cause secondary damage to the detection cable;

[0078] When it is identified that the detection optical cable is bent, the bent position of the detection optical cable is placed in the crimping cavity of the crimping box, and cotton sand is poured into the crimping cavity. The crimping cavity is squeezed by the repair robot. Under the action of the cotton sand, pressure can be evenly applied to the entire bent part of the detection optical cable, thereby straightening the detection optical cable; when it is identified that the detection optical cable is damaged, the damaged position of the detection optical cable is fixed by repairing parts, and then the damaged position is heated through the repairing hole of the repairing part and molten water-blocking fiber paste is poured into it. Finally, the repairing hole is sealed with a sealing bolt and the water-blocking fiber paste is pressed tightly. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] Figure 1 This is a flow chart of a method for handling an abnormality of an oilfield detection optical cable according to an embodiment of the present invention;

[0080] Figure 2 is a method flow chart of an abnormal problem detection method according to an embodiment of the present invention;

[0081] Figure 3 is a flow chart of a method for removing rocks by a repair robot according to an embodiment of the present invention;

[0082] Figure 4 The method flow of the method for processing non-integrated rock characteristics in the embodiment of the present invention is as follows Figure 1 ;

[0083] Figure 5 The method flow of the method for processing non-integrated rock characteristics in the embodiment of the present invention is as follows Figure 2 . DETAILED DESCRIPTION

[0084] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0085] The embodiment of the present application discloses a method for handling abnormalities of an oilfield detection optical cable.

[0086] Reference Figure 1 A method for handling abnormalities of an oilfield detection optical cable comprises the following steps:

[0087] Step S100: collecting and detecting the signal transmission status of the optical cable from the platform end.

[0088] Signal transmission status refers to the state of signals transmitted through optical cables during oilfield equipment operation. This status includes both normal and abnormal signals, and can be directly detected by platform-side equipment. If the signal transmission status is normal, the equipment will operate normally; otherwise, it will not.

[0089] Step S101: Based on the inconsistency between the signal transmission state and the preset reference signal state, controlling a preset optical time domain reflectometer to perform detection at a preset reference detection position of the detection optical cable, and collecting feedback waveform information.

[0090] The reference signal status refers to the signal status detected by the oilfield equipment during normal operation of the optical cable. It is pre-detected by the technical staff and will not be described in detail here.

[0091] If the signal transmission status is consistent with the reference signal status, it means that there is no problem with the detection optical cable and the oilfield equipment can operate normally. If the signal transmission status is inconsistent with the reference signal status, it means that the detection optical cable may be abnormal and the detection optical cable needs to be tested.

[0092] Optical time domain reflectometry is used to detect anomalies in optical cables. It locates anomalies by emitting light pulses and analyzing the time / intensity changes of backscattered and Fresnel reflected signals.

[0093] The reference detection location is a fixed point on the detection fiber optic cable set by technicians for connecting to detection equipment and performing signal detection. It is usually located outside the oil well and is not described in detail here. By connecting an optical time domain reflectometer to the reference detection location, the optical signal in the detection fiber optic cable can be detected.

[0094] The feedback waveform information is the waveform signal of the detection optical cable obtained by the optical time domain reflectometer. If the detection optical cable has any abnormality, it will be reflected in the feedback waveform information.

[0095] Step S102: identifying a preset mutation signal from the feedback waveform information.

[0096] A sudden change signal is an abnormal signal that appears in the feedback waveform information when the detection fiber optic cable experiences an anomaly. This signal can be identified by analyzing the feedback waveform information. Under normal circumstances, if the detection fiber optic cable experiences a slight bend or damage, the feedback waveform will show attenuation. Identifying this attenuation allows the identification of a sudden change signal.

[0097] Step S103: analyzing the sudden change signal from the feedback waveform information to determine the abnormal distance, and determining the abnormal position based on the reference detection position and the abnormal distance.

[0098] The anomaly distance refers to the distance between the anomaly location on the detection cable and the reference detection location. In the feedback waveform, the distance from the waveform's starting point to the location of the sudden change represents the distance the probe wave traveled from the reference detection location to the anomaly. Therefore, analyzing the feedback waveform allows the anomaly distance to be determined.

[0099] The abnormal location is the specific point on the detection cable where the abnormality occurs. The abnormal location is the abnormal distance along the detection cable from the reference detection location.

[0100] Step S104: Control a preset repair robot to move to the abnormal position along a preset cable laying path, detect the abnormal problem of the detection optical cable and repair it.

[0101] The repair robot is used to inspect and repair optical fiber cables. It can crawl through the oil well to reach abnormal locations.

[0102] The cable laying path is the optical cable laying method that has been planned and completed at the beginning of the project. It is recorded in the system database and can be retrieved, so it will not be described in detail here.

[0103] After determining the abnormal location of the detection cable, the system controls the repair robot to move along the path of the detection cable to the abnormal location and detect and repair the abnormal problem of the detection cable at the abnormal location. The detection and repair methods of the detection cable abnormality are not described in detail here and will be described in detail in subsequent embodiments.

[0104] Reference Figure 2 ,The abnormal problem detection method includes the following steps:

[0105] Step S200: Controlling the repair robot to collect abnormal position images at the abnormal position.

[0106] The abnormal location image refers to an image captured by a camera installed on the repair robot to capture the abnormal location of the detection optical cable. Abnormal problems on the detection optical cable can be identified in the abnormal location image.

[0107] Step S201: Analyze the abnormal position image to determine whether the detection optical cable is covered with foreign matter.

[0108] The detection optical cable is identified in the abnormal location image and its features are checked to see if they are intact, thereby determining whether they are covered by foreign objects. If the detection optical cable in the abnormal location image is intact, it means that there is no foreign object on the detection cable. Otherwise, it means that there is foreign object on the detection cable, which may affect the camera's image detection of the detection cable.

[0109] Step S202: When the detection optical cable is covered with foreign matter, the repair robot is controlled to remove the foreign matter and re-collect an image of the abnormal position.

[0110] When it is determined that there is foreign matter covering the detection optical cable, the system controls the repair robot to remove the foreign matter. The method of removing the foreign matter is not described here in detail and will be described in detail in the subsequent embodiments.

[0111] After removing the foreign matter, the repair robot is controlled again to take pictures of the detection optical cable at the abnormal position.

[0112] Step S203: Identify the detection optical cable from the abnormal position image to determine the optical cable path.

[0113] The cable path refers to the overall shape and direction of the detection cable at the abnormal location. Using the detection cable as a distinguishing feature, the cable is identified from the abnormal location image and its path can be determined. Under normal circumstances, the cable path is straight.

[0114] Step S2041: When the optical cable path is a curve, the repair robot is controlled to straighten and repair the detection optical cable using a preset optical cable bending restoration method.

[0115] When the detection optical cable is identified as a curve, it indicates that the detection optical cable at the abnormal position is bent. The bending of the optical cable causes the internal optical fiber to bend, resulting in abnormal signal transmission status of the detection optical cable.

[0116] In the case of a bent optical cable, the system controls the repair robot to straighten and repair it using the optical cable bending restoration method. The optical cable bending restoration method will not be described in detail here.

[0117] Step S2042: When the optical cable path is a straight line, the detection optical cable is identified from the abnormal position image to determine whether there is any damage on the surface of the detection optical cable.

[0118] If the detection cable path is confirmed to be straight by identification, the optical fiber inside the detection cable is intact. The detection cable surface is then identified again from the abnormal location image. By comparing the identified detection cable surface with the complete detection cable surface image, it can be determined whether there is surface damage. If the identified detection cable surface is inconsistent with the complete detection cable surface image, it indicates damage.

[0119] Step S20421: If and only if damage is detected on the surface of the optical cable, control the repair robot to repair the surface of the optical cable using a preset optical cable damage repair method.

[0120] When damage is detected on the surface of the optical cable, the system controls the repair robot to identify and analyze the surface damage, and then repairs the optical cable surface using the optical cable damage repair method. The optical cable damage repair method will not be described in detail here and will be described in detail in subsequent embodiments.

[0121] Reference Figure 3 ,The rock removal method of the repair robot includes the following steps:

[0122] In this embodiment, the foreign objects covering the detection optical cable are mainly stones. When the detection optical cable is covered with stones, the repair robot needs to remove the stones before it can identify and analyze the optical cable.

[0123] Step S300: identifying preset rock features from the abnormal position image to determine whether the rock features are integral.

[0124] When the detection cable is covered with rocks, the system uses a detection robot to analyze rock features from images of the abnormal location. The system analyzes the number of rock features. If there is only one, it indicates that a single rock is pressing against the detection cable, representing a single, integrated rock feature. If there is more than one, it indicates that the foreign object covering the detection cable is composed of multiple rocks. The system uses different methods to remove the rock in a single, integrated state and the scattered rocks.

[0125] Step S301: Based on the rock feature as a whole, the rock feature is identified from the abnormal position image to determine the shape feature of the rock feature.

[0126] Shape of rock features The shape of rock features refers to the surface contour shape of the rock.

[0127] The shape characteristics of rock features can be analyzed from the abnormal position image, and the spatial position of any point on the surface of the rock feature can be determined through the image, thereby forming a three-dimensional model, and then the surface contour shape of the rock can be determined through the three-dimensional model.

[0128] Step S302: Analyze the shape features to determine the symmetrical support positions at the bottom of the rock.

[0129] In this embodiment, the repair robot has two prying arms. When a large, solid rock covers the detection cable, the system controls the two prying arms to extend into the rock's base on either side and support the rock from below, thereby lifting it. Symmetrical support positions refer to the locations where the two prying arms of the repair robot support the rock at the base. The symmetrical support positions can be determined by simulating and analyzing the rock's shape in a three-dimensional model. When the prying arms support and lift the rock in the symmetrical support positions, the rock remains stable between the two prying arms, preventing it from shaking or falling.

[0130] Step S303: Control the repair robot to extend two preset pry arms into symmetrical support positions, apply a lifting force vertically upward to the rock feature with a preset lifting force, and increase the lifting force with a preset lifting growth force until the pry arms lift the rock feature and lift it to a preset lifting height.

[0131] The lifting force is the upward force initially exerted on the rock by the pry arm when it penetrates the bottom of the rock. It is a parameter set by technicians based on the structure of the repair robot and will not be elaborated here.

[0132] Because the rock's volume is uncertain, simply controlling the pry arm with the lifting force may not necessarily lift the rock. Therefore, the lifting force needs to be increased until the rock is finally lifted. The lifting force increment is the amount by which the lifting force is increased each time, and is set by the technicians, so I won't go into detail here.

[0133] The lifting height is the height set by the technicians for the pry arm to lift the rock upwards. When the height is raised to this level, the repair robot consumes less energy and the rock can also be lifted off the ground. We will not go into details here.

[0134] In this embodiment, the system controls the repair robot to extend the pry arm into the bottom of the rock and continuously increase the lifting force so that the rock is lifted a certain distance first.

[0135] Step S304: Analyze the shape features to determine the inclination of the pry arm.

[0136] In this embodiment, after the rock is lifted a certain distance, the repair robot controls the pry arm to tilt, thereby guiding the rock on it to a designated position. The pry arm inclination is the inclination of the pry arm.

[0137] In this embodiment, the rock shape characteristics include flat flakes and nearly spherical shapes. When rocks with different shape characteristics roll or slide off the pry arm, the pry arm tilts at different angles. Flat flake rocks can slide on a pry arm with a greater tilt, while nearly spherical rocks can roll on a pry arm with a lesser tilt. Therefore, the rock shape characteristics are analyzed to first determine whether it is flat flake or nearly spherical, and then the pry arm tilt is selected based on the different shape characteristics.

[0138] Step S305: Match the horizontal and vertical directions of the optical cable path based on the optical cable path.

[0139] The "trend direction" refers to the direction in which the rock rolls or slides when the tilted pry arm is set. After the repair robot lifts the rock with the pry arm, it needs to drive it away from the detection cable to prevent the rock from falling again and causing secondary damage to the detection cable. Therefore, in this embodiment, the "trend direction" is perpendicular to the horizontal cable path. The "trend direction" can be determined by identifying and analyzing the direction of the cable path.

[0140] Step S306: controlling the pry arm to tilt in the trending direction using the pry arm inclination to drive the rock feature to slide down along the pry arm.

[0141] After determining the inclination and direction of the pry arm, when the rock is lifted to the lifting height, the pry arm tilts according to the shape characteristics of the rock, allowing flat flake-like rocks to slide down and nearly spherical rocks to roll down, and eventually be moved away from the direction of the detection cable.

[0142] Reference Figure 4 , the method for dealing with non-holistic rock characteristics includes the following steps:

[0143] Step S400: Based on the fact that the rock features are not integral, the rock features are analyzed from the abnormal position image to determine the stacking distribution state of the rock pile.

[0144] Non-integral rock features refer to rock features that are composed of multiple stones stacked together and are in a state of equilibrium without collapse. If one of the stones is moved, it is likely to cause the collapse of the entire feature.

[0145] The stacking distribution refers to the relative position of each stone in the rock feature relative to the ground, primarily in terms of height. Each stone is identified from the anomaly image and its distance from the ground is analyzed to determine its relative position. Since the camera image only shows stones on the surface of the rock feature, the relative positions analyzed here refer to those on the surface of the stone pile.

[0146] Step S401: Number the stones in the outer circle of the stone pestle from top to bottom based on the stacking distribution state to obtain a picking number.

[0147] By determining the relative position of each stone on the rock feature surface, the height of each stone above the ground can be determined. In this embodiment, the jaws installed on the repair robot remove the stones from top to bottom to prevent the stone pile from collapsing. The pick-up number refers to the order in which the repair robot picks up the stones. Each stone is numbered from high to low according to its position relative to the ground.

[0148] Step S402: Control the repair robot to pick up the stone with a preset picking force according to the picking number.

[0149] The picking force is a parameter set in advance by technicians on the jaws of the repair robot. It is the force with which the jaws grip stones and will not be described in detail here.

[0150] Step S403: During the picking process, after each stone is picked up, the rock features are identified from the abnormal position image to determine whether there is an obstructed stone.

[0151] Because the abnormal position image only captures the stones on the surface of the stone wall, after picking up the top stone, there may be obstructed stones below it that are not captured by the camera. If picking according to the order of the picking numbers is continued, it may cause the stone wall to collapse. Therefore, after picking up a stone, it is necessary to re-capture the abnormal position image and identify whether there are obstructing stones to determine whether to correct the picking number. In the re-captured abnormal position image, the position below the picked stone is image-recognized. If a new stone is found, it means there is an obstructed stone; otherwise, there is no obstructed stone.

[0152] Step S4041: When there is no blocked stone, continue to control the repair robot to pick up with the picking number.

[0153] If there are no obstructed stones, continue to pick up according to the picking number, because if no new stones appear, the stone pestle will not collapse easily.

[0154] Step S4042: When there are obstructed stones, the remaining stones are analyzed from the abnormal position image to determine the stacking status of the remaining stones.

[0155] The remaining stone stacking state refers to the relative position state of the remaining stones after picking up a stone, including the newly appeared blocked stones.

[0156] The method for determining the stacking state of the remaining stones is the same as the method for determining the stacking distribution state of the stone pile in step S400, and will not be described in detail here. After picking up a stone, the abnormal position image collected again is analyzed and determined.

[0157] Step S40421: Obtain a correction number based on the remaining stone stacking status.

[0158] The correction number refers to the number obtained by correcting the picking number. The method for determining the correction number is the same as step S401 and will not be described in detail here.

[0159] Step S40422: Replace the picking number with the correction number, and control the repair robot to pick according to the correction number.

[0160] Each time a stone is picked up, it is necessary to determine whether there is an obstructed stone. If there is an obstructed stone, the picking number is replaced with the correction number, and the stone is picked up again according to the new correction number.

[0161] Reference Figure 5 The method for preventing stones from collapsing during the stone picking process includes the following steps:

[0162] Even if the image recognition determines the stacking status of all the stones, the stones may still collapse due to the center of gravity. This embodiment mainly solves this problem.

[0163] Step S500: Controlling the repair robot to cover the detection optical cable with a protective cover of a preset covering length at both ends of the rock feature along the optical cable path.

[0164] The protective cover is pre-installed on the repair robot to cover the detection optical cable. The protective cover can be removed by the repair robot's gripper.

[0165] The covering length is the size parameter value of the protective cover, which is pre-designed by the technicians and will not be described in detail here.

[0166] In this embodiment, before picking up the stone, the repair robot first removes the protective net on it through the gripper and covers the detection optical cables at both ends of the rock feature to play a protective role.

[0167] Step S501: During the picking process, the corresponding stones are matched based on the picking numbers and marked as stones to be picked up.

[0168] The stones to be picked up are the stones that need to be picked up in the next operation process. The stones to be picked up are marked according to the picking number.

[0169] Step S502: Analyze the stacking distribution state from the abnormal position image to determine the abutting stones pressed by the stones to be picked up and the supporting stones located below the abutting stones to support the abutting stones, and determine the positions of the abutting stones.

[0170] The abutting stone is the stone pressed beneath the stone to be picked up. The supporting stone is the stone located below the abutting stone to support it. The abutting stone is located between the stone to be picked up and the supporting stone. The abutting stone position refers to the actual position of the abutting stone in the stone pestle.

[0171] Using the stone to be picked up as the identification feature, the stone pile is image-recognized from the abnormal position image. Based on the positional relationship, the abutting stone and the supporting stone can be determined. Once the abutting stone is determined, the position of the abutting stone can also be determined from the abnormal position image.

[0172] Step S503: Analyze the abutting stone from the abnormal position image to determine the estimated center of gravity position of the stone.

[0173] The estimated center of gravity of a rock is the location of the rock's center of gravity estimated by the system. Image recognition of the abutting rock in the abnormal position image can determine the shape of the abutting rock, and based on this shape, its center of gravity can be estimated.

[0174] Step S504: Analyze the supporting stone from the abnormal position image to determine the top supporting area range of the supporting stone.

[0175] The top support area refers to the area on the top of the supporting stone that can support the abutting stone. This area is a flat surface, so the top support area is identified from the abnormal position image. By identifying each point on the top of the supporting stone, the top support area is determined.

[0176] Step S505: Determine whether the estimated center of gravity of the stone falls within the top support area.

[0177] When the stone to be picked up presses the abutting stone, the three can maintain a balanced state. If the abutting stone falls after the stone to be picked up is removed, it is necessary to judge the positional relationship between the estimated center of gravity of the stone and the range of the top support area.

[0178] Step S506: If and only if the estimated center of gravity position of the stone exceeds the range of the top support area, control the repair robot to clamp and fix the abutting stone at the abutting stone position, and then control the repair robot to pick up the stone to be picked up.

[0179] When the estimated center of gravity of the stone falls within the range of the top support area, even if the stone to be picked up is removed, the abutting stone will not roll off the stone pestle, and there is no need to fix the abutting stone at this time.

[0180] When the estimated center of gravity of the stone exceeds the top support area, if the stone to be picked up is taken away, the estimated center of gravity of the abutting stone is not within the top support area of ​​the supporting stone, and the abutting stone will fall from the top of the supporting stone, which may cause the collapse of the stone pestle.

[0181] In this embodiment, in the case where the estimated center of gravity of the stone exceeds the range of the top support area, the repair robot can fix the abutting stone through the clamping claws when grabbing the stone to be picked up, so that the stone pestle is not easy to collapse after the repair robot takes away the stone to be picked up.

[0182] The repair robot is provided with a crimping box having a crimping cavity for placing the optical cable. The length and width of the crimping cavity are adjustable. The optical cable bending restoration method includes the following steps:

[0183] In this embodiment, the repair robot is equipped with a crimping box specifically designed for repairing bent optical cables. The crimping box has a crimping cavity for inserting the optical cable. The cavity is adjustable in both width and length, with the width being actively adjustable and the length being passively adjustable. The crimping box has slots at both ends for detecting the optical cable.

[0184] Step S600: Identify the detection optical cable from the abnormal position image to determine the bent section of the optical cable.

[0185] A cable bend is a location on the cable where an external force causes a bend. Using the bend as a key feature, the bend is identified by identifying the cable from the image of the abnormal location.

[0186] Step S601: cutting a detection optical cable of a preset processing length from a bent section of the optical cable and defining it as an optical cable processing section.

[0187] The detection cable forms a bend at the bend, and the cable at both ends remains straight. Therefore, when straightening a bend, it's not necessary to process the entire section. Instead, only a portion of the bend needs to be processed to straighten the entire section. The cable processing section is the portion of the bend that requires processing. The length of the processing section is the processing length.

[0188] The processing length is the length of the cable to be processed selected from the bent section of the optical cable set by the technician, which will not be described in detail here.

[0189] Step S602: Determine the processing section area width based on the optical cable processing section.

[0190] The processing section area width refers to the width of the area occupied by the entire optical cable processing section, not the width of the optical cable itself.

[0191] The optical cable processing section is image-recognized from the abnormal position image, and the width of the processing section region can be determined according to the image ratio of the abnormal position image and the width of the optical cable processing section in the image.

[0192] Step S603: matching the preset wire crimping cavity width of the wire crimping box based on the width of the processing section area.

[0193] To straighten the cable processing section, the cable processing section needs to be placed in the crimping cavity of the crimping box, so the width of the crimping cavity needs to be adapted to the width of the processing section area. In this embodiment, the repair robot adjusts the width of the crimping cavity to be consistent with the width of the processing section area.

[0194] Step S604: Control the repair robot to lift the bent section of the optical cable to a preset processing height, place the crimping box under the bent section of the optical cable, and put the bent section of the optical cable back into the crimping cavity.

[0195] In this embodiment, the process of placing the detection cable into the crimping cavity requires first lifting the detection cable, then using a repair robot to place a crimping box under the cable bend, and finally lowering the cable bend into the crimping cavity. The handling height is the height set by the technician at which the detection cable is lifted when the crimping box is placed under the cable bend, and is not detailed here.

[0196] Step S605: The pouring amount of the cotton sand is matched based on the width of the crimping cavity, the preset length of the crimping cavity, and the preset height of the crimping cavity, and the cotton sand is used to fill the crimping cavity.

[0197] In this embodiment, after the optical cable processing section is placed in the crimping cavity, in order to ensure that the detection optical cable is evenly compressed when the crimping box straightens the detection optical cable, the system pours the cotton sand pre-stored in the repair robot into the crimping cavity through the repair robot.

[0198] The length of the crimping cavity is the initial length set by the technician and is not detailed here. When the repair robot squeezes in the width direction of the crimping cavity to adjust the width of the crimping cavity, the length of the crimping cavity will adjust accordingly.

[0199] The height of the wire crimping cavity is a parameter determined by technicians when designing the structure of the wire crimping box. It is a fixed quantity and will not be described in detail here.

[0200] Cotton sand refers to a natural sand with a soft texture and fine particles, which is used to fill the wire pressing cavity.

[0201] The amount of sand poured refers to the volume of sand poured into the crimping cavity. The amount of sand poured is consistent with the volume of the crimping cavity, which is calculated based on the cavity width, cavity length, and cavity height.

[0202] Step S606: Control the repair robot to pour the cotton sand into the wire pressing cavity according to the cotton sand pouring amount, and control the repair robot to squeeze inward from both sides in the width direction of the wire pressing box with a preset wire pressing force.

[0203] The pressing force is the horizontal pressure applied by the repair robot to the pressing cavity set by the technician, which will not be described in detail here.

[0204] After the cable processing section is placed in the crimping cavity, cotton sand is poured into the cavity. Finally, pressure is applied to the cavity from both sides of the crimping box, squeezing the cable processing section. Because the crimping cavity is filled with cotton sand, the squeezing process actively reduces its width, while its length passively increases while its volume remains constant. Furthermore, the cotton sand allows the cavity to evenly apply force to the cable processing section, thereby straightening the detection cable.

[0205] The optical cable bending restoration method further comprises the following steps:

[0206] During the process of straightening the optical cable processing section through the wire pressing box, the parts of the detection optical cable extending from the two ends of the wire pressing box do not move. However, if the wire pressing box does not move synchronously during the straightening process, the detection optical cable may bend again. This embodiment solves the above problem.

[0207] Step S700: Capturing the image of the wire pressing box during the extrusion process.

[0208] The crimping box image refers to an image obtained by photographing the position of the crimping box by a camera installed on the repair robot during straightening, which includes the crimping box and the detection optical cable located on the crimping box.

[0209] Step S701: Analyze the bent section of the optical cable from the crimping box image to determine the exit angle of the bent section of the optical cable extending out of the crimping cavity.

[0210] The cable exit angle refers to the angle between the curved section of the cable extending out of the crimping cavity at either end of the crimping box and the normal straight path of the cable. The cable exit angle can be determined by analyzing the detection cable in the crimping box image.

[0211] Step S702: determining a change in the line-out angle within a preset acquisition time based on the line-out angle.

[0212] During the process of detecting the straightening of the optical cable, the system needs to collect images of the wire box in real time. The collection time is the interval set by the technician for each wire box image collection, which will not be detailed here.

[0213] The change in the cable outlet angle refers to the change in the angle during the acquisition period. The difference between the angles of the detection cable in two adjacent crimping box images is the change in the cable outlet angle.

[0214] Step S703: Matching the horizontal movement of the wire pressing box based on the change in the wire outlet angle.

[0215] The horizontal movement amount of the wire pressing box refers to the horizontal movement amount of the wire pressing box by the repair robot.

[0216] The horizontal movement of the wire pressing box is proportional to the change in the wire outlet angle. The greater the change in the wire outlet angle, the greater the horizontal movement of the wire pressing box.

[0217] Step S704: During the extrusion process, the repair robot is synchronously controlled to horizontally move the crimping box along the width direction of the crimping box to adapt to the bending restoration process of the detection optical cable.

[0218] When the optical cable processing section is straightened through the crimping box, the system synchronously controls the repair robot to move the crimping box horizontally.

[0219] The optical cable damage repair method includes the following steps:

[0220] The detection optical cable consists of an optical fiber, water-blocking grease, loose tube, steel wire, and outer sheath, from the inside out. If the detection optical cable is damaged by external forces to the point where the water-blocking grease is located, the optical fiber inside is susceptible to external contamination, which can affect optical cable communication. Therefore, the water-blocking grease needs to be repaired. This embodiment primarily addresses the situation where the detection optical cable is damaged to the point where the water-blocking grease is located.

[0221] The repair robot stores a repair part that can be pressed against the detection cable and fixed to the ground with screws, thereby pressing the detection cable firmly to the ground. The repair part has a repair hole, through which the repair robot can repair the damaged part of the detection cable. Furthermore, the opening of the repair hole can be sealed by installing a sealing bolt through the hole.

[0222] Step S800: Identify the detection optical cable from the abnormal position image to determine the damaged area position and damaged area outline.

[0223] The damage area location refers to the point where the surface damage occurs in the detection cable. The damage area contour refers to the contour of the point where the surface damage occurs in the detection cable.

[0224] The location and outline of the damaged area can be obtained from the abnormal position image by performing image recognition analysis on the detection optical cable. Image recognition is an existing technology and will not be described in detail here.

[0225] Step S801: fitting a maximum circumscribed circle based on the damaged area contour and matching the preset part specifications of the repair part. The part specifications refer to the aperture value of the preset repair hole in the repair part.

[0226] The specifications of the repair part are adapted to the maximum circumscribed circle of the damaged area contour, so that the entire damaged area of ​​the detection optical cable can fall within the range of the repair hole.

[0227] Step S802: Control the repair robot to press the repair part onto the detection optical cable at the damaged area to fix the detection optical cable, and align the repair hole of the repair part with the damaged area.

[0228] When repairing the damaged position of the detection optical cable, the repair robot first fixes the detection optical cable on the ground with the repair parts, and the repair parts are fixed at the damaged area. The repair hole of the repair parts is exactly opposite to the damaged area of ​​the detection optical cable, so that the repair robot can process the damaged position through the repair hole.

[0229] Step S803: Analyze the position of the damaged area from the abnormal position image to determine the vertical distance from the damaged water-blocking fiber paste to the surface of the outer sheath.

[0230] In this embodiment, the system uses a heating probe to preheat the existing water-blocking paste at the damaged location. This allows the water-blocking paste subsequently poured into the repair hole to connect tightly with the original water-blocking paste. Therefore, it is necessary to first determine the vertical distance from the damaged water-blocking paste to the outer sheath surface, allowing the system to insert the heating probe into the repair hole. This vertical distance can be determined by image recognition analysis of the damaged location in the abnormal location image.

[0231] Step S804: Matching a preset insertion depth of the heating probe into the repair hole based on the vertical distance.

[0232] The insertion depth is the depth of the heating probe inserted into the repair hole. The insertion depth is the same as the vertical distance from the damaged water-blocking fiber paste to the outer sheath surface.

[0233] Step S805: Control the repair robot to insert the heating probe into the repair hole by controlling the insertion depth and heat the water-blocking fiber paste at a preset heating temperature.

[0234] The heating temperature is the temperature set by the technicians for the heating probe to heat the water-blocking fiber paste in the detection optical cable, which will not be described in detail here.

[0235] When the heating probe is inserted into the repair hole and the water-blocking paste at the damaged position is processed by controlling the insertion depth, the water-blocking paste at the damaged position can be heated to a specified temperature and be in a semi-molten state, and the optical fiber is not easily damaged.

[0236] Step S806: pouring a preset filling amount of melted water-blocking fiber paste into the repair hole, and controlling the sealing bolt to cooperate with the repair hole to press the water-blocking fiber paste tightly and seal it.

[0237] The filling amount is the volume of water-blocking fiber paste poured into the repair hole set by the technician, which will not be elaborated here.

[0238] After the water-blocking paste at the damaged location is preheated, the system pours new melted water-blocking paste into the repair hole, allowing it to connect with the original water-blocking paste. Simply repairing the water-blocking paste doesn't completely solve the problem of external liquid infiltration into the optical fiber. The system then seals the repair hole with a sealing bolt. As the sealing bolt seals the repair hole, it further compresses the new water-blocking paste in the repair hole against the original one.

[0239] Based on the same inventive concept, an embodiment of the present invention provides an abnormality handling system for an oilfield detection optical cable, comprising:

[0240] The acquisition module is used to collect signal transmission status, feedback waveform information, abnormal position images and wire pressing box images.

[0241] The memory is used to store a program of an abnormality processing method for detecting optical cables used in oil fields.

[0242] The program in the memory can be loaded and executed by the processor to implement an abnormality processing method for an oil field detection optical cable.

[0243] Based on the same inventive concept, an embodiment of the present invention provides a terminal including a memory and a processor, wherein the memory stores a computer program that can be loaded and executed by the processor for a method for handling an abnormality of an oilfield detection optical cable.

[0244] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiment. All technical solutions based on the concept of the present invention are within the scope of protection of the present invention. It should be noted that for those skilled in the art, various improvements and modifications that do not depart from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for handling abnormalities of an oilfield detection optical cable, characterized in that: include: S100: Collect and detect the signal transmission status of the optical cable from the platform end; S101: Based on the inconsistency between the signal transmission state and the preset reference signal state, controlling a preset optical time domain reflectometer to perform detection at a preset reference detection position of the detection optical cable and collecting feedback waveform information; S102: Identifying a preset mutation signal from the feedback waveform information; S103: Analyze the sudden change signal from the feedback waveform information to determine the abnormal distance, and determine the abnormal position based on the reference detection position and the abnormal distance; S104: Controlling a preset repair robot to move along a preset cable laying path to the abnormal position, detecting and repairing the abnormality of the detection optical cable; Anomaly detection methods include: S200: Controlling the repair robot to collect an image of the abnormal position at the abnormal position; S201: Analyze the abnormal position image to determine whether the detection optical cable is covered with foreign matter; S202: When the detection optical cable is covered with foreign matter, the repair robot is controlled to remove the foreign matter and re-collect an image of the abnormal position; S203: Identify the detection optical cable from the abnormal position image and determine the optical cable path; S2041: When the optical cable path is curved, control the repair robot to straighten and repair the detection optical cable using a preset optical cable bending restoration method; S2042: When the optical cable path is a straight line, identify the detection optical cable from the abnormal position image to determine whether the detection optical cable surface is damaged; S20421: If and only if damage is detected on the surface of the optical cable, control the repair robot to repair the surface of the optical cable using a preset optical cable damage repair method; Foreign matter includes rocks. The methods used by the repair robot to remove rocks include: S300: identifying a preset rock feature from the abnormal position image to determine whether the rock feature is integral; S301: Based on the rock feature as a whole, the rock feature is identified from the abnormal position image to determine the shape feature of the rock feature; S302: Analyze the shape characteristics to determine the symmetrical support position of the rock bottom; S303: Controlling the repair robot to extend two preset pry arms into symmetrical support positions, applying a lifting force vertically upward to the rock feature with a preset lifting force, and increasing the lifting force with a preset lifting growth force until the pry arms lift the rock feature to a preset lifting height; S304: Analyze the shape features to determine the inclination of the pry arm; S305: Matching the optical cable path to the horizontal and vertical directions of the optical cable path; S306: controlling the pry arm to tilt in the trending direction using the pry arm inclination to drive the rock feature to slide down along the pry arm.

2. A method for handling abnormalities of an oilfield detection optical cable according to claim 1, characterized in that: Methods for dealing with non-holistic rock features include: S400: Based on the non-integrated rock features, the rock features are analyzed from the abnormal position image to determine the stacking distribution state of the rock pile; S401: Numbering the stones in the outer circle of the stone pestle from top to bottom based on the stacking distribution state to obtain a picking number; S402: Controlling the repair robot to pick up the stone with a preset picking force according to the picking number; S403: During the picking process, after each rock is picked up, the rock features are identified from the abnormal position image to determine whether there is an obstructed rock; S4041: When there is no blocked stone, continue to control the repair robot to pick up the stone using the picking number; S4042: When there are obstructed stones, the remaining stones are analyzed from the abnormal position image to determine the stacking status of the remaining stones; S40421: Get the correction number based on the remaining stone stacking status; S40422: Replace the picking number with the correction number, and control the repair robot to pick according to the correction number.

3. A method for handling abnormalities of an oilfield detection optical cable according to claim 2, characterized in that: Also includes: S500: controlling the repair robot to cover the detection optical cable with a protective cover of a preset covering length at both ends of the rock feature along the optical cable path; S501: During the picking process, matching the corresponding stone based on the picking number and marking it as a stone to be picked up; S502: Analyze the stacking distribution state from the abnormal position image to determine the abutting stones pressed by the stones to be picked up and the supporting stones located below the abutting stones to support the abutting stones, and determine the positions of the abutting stones; S503: Analyze the abutting stone from the abnormal position image to determine the estimated center of gravity position of the stone; S504: Analyze the supporting stone from the abnormal position image to determine the top supporting area of ​​the supporting stone; S505: Determine whether the estimated center of gravity of the stone falls within the top support area; S506: If and only if the estimated center of gravity position of the stone exceeds the range of the top support area, control the repair robot to clamp and fix the abutting stone at the abutting stone position, and then control the repair robot to pick up the stone to be picked up.

4. The method for handling abnormalities of an oilfield detection optical cable according to claim 1, characterized in that: The repair robot is equipped with a crimping box, which has a crimping cavity for placing the optical cable. The length and width of the crimping cavity are adjustable. Optical cable bending restoration methods include: S600: Identify the detection optical cable from the abnormal position image to determine the bent section of the optical cable; S601: Cutting a preset processing length of detection optical cable from a bent section of the optical cable and defining it as an optical cable processing section; S602: Determine the width of the processing section based on the optical cable processing section; S603: Matching a preset wire crimping cavity width of a wire crimping box based on the width of the processing section area; S604: Controlling the repair robot to lift the bent section of the optical cable to a preset processing height, placing the crimping box under the bent section of the optical cable, and re-inserting the bent section of the optical cable into the crimping cavity; S605: Matching the amount of cotton sand to be poured based on the width of the crimping cavity, the preset length of the crimping cavity, and the preset height of the crimping cavity, and filling the crimping cavity with the cotton sand; S606: Control the repair robot to pour the cotton sand into the wire pressing cavity according to the cotton sand pouring amount, and control the repair robot to squeeze inward from both sides in the width direction of the wire pressing box with a preset wire pressing force.

5. The method for handling abnormalities of an oilfield detection optical cable according to claim 4, characterized in that: Also includes: S700: collecting images of the wire pressing box during the extrusion process; S701: Analyze the bent section of the optical cable from the crimping box image to determine the angle at which the bent section of the optical cable extends out of the crimping cavity; S702: Determine a change in the outgoing line angle within a preset acquisition time based on the outgoing line angle; S703: Matching the horizontal movement of the wire pressing box based on the change in the wire outlet angle; S704: During the extrusion process, the repair robot is synchronously controlled to horizontally move the pressing box along the width direction of the pressing box with a horizontal movement amount to adapt to the bending restoration process of the detection optical cable.

6. The method for handling abnormalities of an oilfield detection optical cable according to claim 1, characterized in that: From the inside out, the detection optical cable consists of optical fiber, water-blocking grease, loose tube, steel wire, and outer sheath. If the damage reaches the water-blocking grease, the cable damage repair methods include: S800: Identify the detection optical cable from the abnormal position image to determine the location and outline of the damaged area; S801: fitting a maximum circumscribed circle based on the damaged area contour and matching the preset part specifications of the repair part, where the part specifications refer to the aperture value of the repair hole preset in the repair part; S802: Controlling the repair robot to press the repair part onto the detection optical cable at the damaged area to fix the detection optical cable, and aligning the repair hole of the repair part with the damaged area; S803: Analyze the position of the damaged area from the abnormal position image to determine the vertical distance from the damaged water-blocking fiber paste to the outer sheath surface; S804: Matching a preset insertion depth of the heating probe into the repair hole based on the vertical distance; S805: Controlling the repair robot to insert the heating probe into the repair hole according to the insertion depth and heating the water-blocking fiber paste at a preset heating temperature; S806: Pour the melted water-blocking fiber paste into the repair hole according to a preset filling amount, and control the sealing bolt to cooperate with the repair hole to press the water-blocking fiber paste tightly and seal it.

7. An abnormality handling system for oilfield detection optical cables, characterized in that: include: An acquisition module is used to collect signal transmission status, feedback waveform information, abnormal position images, and wire pressing box images; A memory for storing a program of a method for handling an abnormality of an oilfield detection optical cable according to any one of claims 1 to 6; The program in the memory can be loaded and executed by the processor to implement an abnormality processing method for an oil field detection optical cable.

8. A terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes the method for handling abnormalities of an oilfield detection optical cable according to any one of claims 1 to 6.

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