Pipeline displacement real-time monitoring method based on machine vision
By configuring a visual image acquisition machine on key nodes of the pipeline, monitoring and dynamically adjusting the displacement warning threshold in real time, the problem that traditional monitoring methods are difficult to distinguish the nature of pipeline displacement is solved, and accurate risk identification and resource optimization are achieved.
Patent Information
- Application Number
- CN202411813723.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-11
- Publication Date
- 2025-03-14
AI Technical Summary
The traditional visual monitoring method of pipeline displacement is difficult to determine whether the pipeline displacement is a local or overall systemic problem, resulting in delayed reactions or unnecessary maintenance.
The real-time monitoring method of pipeline displacement based on machine vision is adopted. By configuring a visual image acquisition machine on the key nodes of the pipeline, the pipeline displacement is monitored in real time, and the displacement warning threshold of adjacent nodes is dynamically adjusted to judge the nature of pipeline displacement.
Accurate identification of pipeline displacement problems is achieved, false alarms and missed reports are avoided, invalid maintenance and intervention are reduced, maintenance costs are reduced, and resource utilization efficiency is improved.
Smart Images
Figure CN119618075A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of pipeline measurement and monitoring, and in particular to a real-time pipeline displacement monitoring method based on machine vision. Background Art
[0002] Pipeline displacement monitoring is an important project for the production safety of thermal power plants. The core of thermal power plants lies in steam turbines. The generation and transportation of steam is completed through high-pressure steam pipes. These pipes transport the high-temperature and high-pressure steam generated in the boiler to the steam turbine to drive the generator to generate electricity. At the same time, thermal power plants require a large amount of cooling water to cool steam turbines and other equipment. The cooling water pipe introduces water into the cooling system and discharges the hot water.
[0003] In order to ensure the safe and efficient operation of equipment and reduce risks and losses, it is particularly important to monitor pipeline displacement in real time and take preventive and maintenance improvement measures. The traditional visual monitoring of pipeline displacement is more targeted at local displacement problems. It will respond when it detects displacement in a specific area of the pipeline. It is usually judged to be caused by local factors such as unstable mounting brackets, local uneven force, and corrosion. However, for pipelines, local displacement is likely to cause corresponding displacement or deformation in nearby areas, so it is not clear whether the nature of the pipeline displacement problem is local or systematic.
[0004] To this end, the present invention provides a real-time monitoring method for pipeline displacement based on machine vision. Summary of the invention
[0005] In view of the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a real-time monitoring method for pipeline displacement based on machine vision, so that when monitoring pipeline displacement problems, it can be clearly determined whether the pipeline displacement is a local problem or an overall systemic problem, so as to facilitate timely corresponding maintenance and intervention measures.
[0006] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: a real-time monitoring method for pipeline displacement based on machine vision, comprising:
[0007] In the SACD system, a corresponding number of visual image acquisition machines are configured according to the number of pipeline distributions, wherein each of the visual image acquisition machines monitors a plurality of pipeline nodes of the corresponding pipeline;
[0008] Configuring a safety strategy for pipeline monitoring, wherein the safety strategy includes configuring a displacement warning threshold on each pipeline node, and comparing the displacement warning threshold with the displacement amount of the corresponding pipeline node to determine the displacement state of the pipeline node;
[0009] When the corresponding pipeline node exceeds the displacement warning threshold, dynamically adjust the displacement warning threshold configured for the adjacent pipeline node;
[0010] The continuity and quantity data of the displacement warning status of the plurality of pipeline nodes of the corresponding pipeline are obtained, and different pipeline safety statuses are fed back according to the data.
[0011] In some embodiments, the pipeline node is positionally identified according to the sequential position of the pipeline node, and a corresponding identification list is constructed based on the position identification, wherein the identification list includes a node identification and a sequential identification under the node identification, and the identification list also includes a maintenance node identification of a target node identification for establishing a mapping relationship, and the pipeline node corresponding to the maintenance node identification is used to prompt maintenance personnel to check and maintain.
[0012] In some embodiments, the pipeline is divided into pipeline nodes according to the position of its flange connection or by dividing its length into equal parts. After the division, a unique number is assigned to each pipeline node in sequence, and a mapping relationship is established between the number and the identification list as a basis for judging the continuity of the displacement warning status of multiple pipeline nodes.
[0013] In some embodiments, a node identifier under the identifier list includes at least one pipeline node position identifier with a mapping relationship, wherein the pipeline node position identifier with a mapping relationship is used to represent pipeline nodes at different positions of the pipeline, and when the displacement of the pipeline node exceeds the displacement warning threshold, maintenance prompt information is generated according to the node identifier where the corresponding position identifier of the pipeline node is located, so as to be used by maintenance personnel to locate the position of the pipeline node that needs maintenance.
[0014] In some embodiments, the safety strategy of pipeline monitoring includes: obtaining the displacement of multiple pipeline nodes on the corresponding pipeline, and when the displacement of a single pipeline node is monitored to exceed the displacement warning threshold of the pipeline node, marking the pipeline node as a displacement warning state, and when the displacement of the adjacent pipeline node is within the displacement warning threshold, reducing the displacement warning threshold of the adjacent pipeline node to a secondary threshold k2; comparing the displacement of the corresponding adjacent pipeline node with the secondary threshold k2 to determine its displacement warning state, when the pipeline node reduced to the secondary threshold k2 is marked as a displacement warning state, if there is a pipeline node in its adjacent pipeline node that is not in the displacement warning state, reducing the displacement warning threshold of the pipeline node to a third-level threshold k3, and when the displacement warning threshold of the nth pipeline node is dynamically reduced and adjusted, calculating the threshold k of the previous level. n-1 and the adjustment factor (1-Y n ) n-1 ×(1-Y n ), obtain the n-th level threshold k of the n-th pipeline node n, until the nth pipeline node is still not in the displacement warning state after its displacement warning threshold is dynamically lowered and adjusted, or the nth pipeline node has no adjacent pipeline node that is not in the displacement warning state.
[0015] In some embodiments, the safety strategy for pipeline monitoring also includes: when it is monitored that the displacement of multiple pipeline nodes exceeds the displacement warning threshold of the pipeline nodes, the multiple pipeline nodes are all marked as displacement warning status, and the displacement warning threshold of two adjacent node pipelines marked as displacement warning status is not adjusted.
[0016] In some embodiments, the safety strategy for pipeline monitoring further includes: when two pipeline nodes adjacent to one of the pipeline nodes exceed the displacement warning threshold and cause the pipeline node to respond to two requests to reduce to the secondary threshold k2, the displacement warning threshold of the pipeline node is reduced to a preset high risk level threshold k hg .
[0017] In some embodiments, pipeline displacement data is generated, including the sequential position of the pipeline nodes, and the displacement warning status of the pipeline nodes on each pipeline is input. The pipeline node is represented by 0 as not being in the displacement warning state, and 1 as being in the displacement warning state. When the status of at least one node in the pipeline displacement data is 1, feedback is given that the pipeline needs maintenance operations, and different maintenance operations are selected according to the number of nodes with a status of 1 and the sequential relationship.
[0018] In some embodiments, when there are pipeline nodes with a state of 1 in the pipeline displacement data and the number is less than a preset value ΔP, and there are not more than Δt pipeline nodes with a continuous state of 1, the feedback pipeline is a local displacement problem; when there are pipeline nodes with a state of 1 in the pipeline displacement data and the number is equal to or greater than the preset value ΔP, and / or there are more than Δt pipeline nodes with a continuous state of 1, the feedback pipeline is a systematic displacement problem.
[0019] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the above-mentioned real-time monitoring method for pipeline displacement based on machine vision.
[0020] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:
[0021] Firstly, by configuring visual image acquisition machines at key nodes of the pipeline, the present invention can monitor the displacement changes of the pipeline in real time, and dynamically adjust the displacement warning thresholds of adjacent nodes when local displacement occurs in the pipeline, which helps to quickly distinguish between local and overall systemic displacement problems. This precise risk identification capability can avoid false alarms and missed alarms, reduce ineffective maintenance and intervention caused by excessive vigilance, thereby reducing maintenance costs and improving resource utilization efficiency.
[0022] Secondly, when two pipeline nodes exceed the initial displacement warning threshold and there is a node between the two nodes, the risk of structural instability or deformation of the pipeline node in the middle increases. At this time, the displacement warning threshold can be dynamically adjusted to a high-risk level threshold through the safety strategy, so that the displacement changes of pipeline nodes with high potential risks can be detected more accurately. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 The figure is a flow chart of the real-time monitoring method of pipeline displacement based on machine vision of the present invention. DETAILED DESCRIPTION
[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0025] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.
[0026] See also Figure 1The present invention provides a real-time monitoring method for pipeline displacement based on machine vision, and the method mainly includes the following steps: first, in the SACD system, a visual image acquisition machine is configured according to the monitored pipeline layout diagram. According to the pipeline distribution diagram, it is necessary to ensure that visual image acquisition machines are configured at the elbows, joints and reducers of the pipeline. These locations are usually high-risk areas for pipeline displacement, and it is necessary to capture the signals of displacement changes in time. The number of visual image acquisition machines configured on each pipeline corresponds to the number of pipeline nodes, that is, each pipeline node on the pipeline will be captured by the visual image acquisition machine and the image will be obtained, and then the displacement of each pipeline node in the image will be extracted using a computer vision algorithm. Under the initial setting of the present invention, all pipeline nodes existing on the pipeline implement a unified security strategy, configure the same displacement warning threshold for each pipeline node, and use the displacement warning threshold to compare with the displacement of the corresponding pipeline node for monitoring. When the displacement of the pipeline node exceeds the displacement warning threshold range, the pipeline node is marked as a displacement warning state, and the security strategy dynamically adjusts the displacement warning threshold of the adjacent nodes of the pipeline node to reduce the displacement warning threshold of the adjacent pipeline nodes. Specifically, reducing the displacement warning threshold of the adjacent nodes can enable the system to quickly perform more stringent monitoring of the surrounding nodes when a node is found to be displaced, and sensitively capture the displacement changes near the pipeline node in the displacement warning state, which helps to timely identify whether the displacement of the pipeline node is a local displacement problem of a specific node or a short section of the pipeline, or a systematic displacement of the entire pipeline, thereby more effectively identifying the real risks and avoiding unnecessary maintenance and intervention.
[0027] The present invention realizes the judgment of local displacement problems and systematic displacement problems through the safety strategy of pipeline monitoring. The safety strategy method steps are to first obtain the number of all pipeline nodes on a pipeline in the displacement warning state and the continuity of the pipeline node position, and then feedback different pipeline safety states according to the data of the number and continuity. Specifically, it is necessary to obtain the displacement of multiple pipeline nodes on the corresponding pipeline. When the displacement of a single pipeline node is monitored to exceed the initially set displacement warning threshold k1, the pipeline node is marked as a displacement warning state, and the displacement of the adjacent pipeline node is within the displacement warning threshold, the displacement warning threshold of the adjacent pipeline node is reduced to the secondary threshold k2. After the pipeline node dynamically adjusted to the secondary threshold k2 compares its offset with the secondary threshold k2, if its offset exceeds the secondary threshold k2, the operation of dynamically reducing and adjusting the displacement warning threshold of its adjacent pipeline node is continued, and it is reduced and adjusted to the third threshold k3 again. By analogy, when the displacement warning threshold of the nth pipeline node is dynamically reduced and adjusted, the threshold k of the previous level is calculated. n-1 and the adjustment factor (1-Y n )n-1 ×(1-Y n ), obtain the n-th level threshold k of the n-th pipeline node n , Y n It is a value between 0 and 1, indicating the percentage of adjustment required. n ) can control the degradation range of each level, or select different decreasing modes according to actual needs, including linear decreasing, exponential decreasing, etc. The displacement warning threshold is dynamically adjusted until the nth pipeline node is still not in the displacement warning state after its displacement warning threshold is dynamically reduced or the nth pipeline node does not have an adjacent pipeline node that is not in the displacement warning state.
[0028] When it is necessary to obtain the displacement of multiple pipeline nodes on the corresponding pipeline, when it is monitored that the displacement of multiple pipeline nodes exceeds the displacement warning threshold of the pipeline node, the multiple pipeline nodes are all marked as displacement warning state, and the displacement warning threshold of two adjacent pipeline nodes marked as displacement warning state is not adjusted. When the offset of multiple pipeline nodes exceeds the initially set displacement warning threshold k1 and is in the displacement warning state, another pipeline node that is not in the displacement warning state is adjacent to the two pipeline nodes in the displacement warning state at the same time, that is, its position is sandwiched between the two pipeline nodes in the displacement warning state. At this time, the pipeline node will respond to two requests to reduce to the secondary threshold k2. In this case, when both pipeline nodes exceed the initial displacement warning threshold k1, and a node is sandwiched between the two nodes, the risk of structural instability or deformation of the pipeline involved in the middle pipeline node increases, so the displacement warning threshold of the pipeline node can be dynamically reduced to a high-risk level threshold k that is less than the secondary threshold k2. hg , making the displacement problem of the pipeline node in the middle position easier to detect. At the same time, it can make the pipeline node in the middle position have continuity with the adjacent nodes after being in the displacement warning state, which can help to discover potential overall risks earlier.
[0029] It should be noted that in order to determine whether the displacement of the pipeline is a local problem or an overall systemic problem, the present invention generates pipeline displacement data, including the sequential positions of the pipeline nodes, and inputs the displacement warning status of the pipeline nodes on each pipeline. The pipeline node is represented by 0 as not being in the displacement warning state, and 1 as being in the displacement warning state. When there is at least one node in the pipeline displacement data with a status of 1, the feedback pipeline needs maintenance operation, and different maintenance operations are selected according to the number of nodes with a status of 1 and the sequential relationship. When there are pipeline nodes with a status of 1 in the pipeline displacement data and the number is less than a preset value ΔP, and there are no more than Δt consecutive pipeline nodes with a status of 1, the feedback pipeline is a local displacement problem; when there are pipeline nodes with a status of 1 in the pipeline displacement data and the number is equal to or greater than the preset value ΔP, and / or there are more than Δt consecutive pipeline nodes with a status of 1, the feedback pipeline is a systemic displacement problem. For example, as shown in the following table:
[0030]
[0031]
[0032] In the above table, the number of pipeline nodes is set to 9, the maximum warning number preset value ΔP is 5, and the maximum continuous state preset value Δt is 3. Since the pipeline node positions 6-8 in the table are all in the "1" state, the feedback pipeline of the present invention is a systematic displacement problem.
[0033] Specifically, since there are two types of problems when the pipeline is displaced, namely, local displacement and overall systemic problems, and local displacement problems are likely to cause displacements in nearby locations, thereby leading to potential systemic problems, the present invention is based on the fact that when the offset of a single pipeline node exceeds the displacement warning threshold, it can generate maintenance prompt information according to the node identifier of the corresponding position identifier of the pipeline node, and dynamically adjust the displacement warning threshold of the configuration of the adjacent pipeline nodes, and can obtain the continuity and quantity data of the displacement warning status of multiple pipeline nodes of the corresponding pipeline after the safety strategy is adjusted, and feedback different pipeline safety states based on the data. Since after the corresponding pipeline node forms a displacement warning state, its adjacent nodes will correspondingly reduce their displacement warning thresholds, so as to more sensitively respond to the safety impact of the locally displaced pipeline node on the overall pipeline, and obtain the number and continuity of the pipeline nodes in the displacement warning state to judge and distinguish the pipeline displacement state, so that the present invention can effectively feedback accurate pipeline displacement state information, and can more clearly perform reasonable intervention and maintenance on the pipeline that has been displaced.
[0034] Further, for the differentiation of pipeline nodes, the pipeline is divided into pipeline nodes according to the position of its flange connection or by dividing its length into equal parts. After the division, a unique number is assigned to each pipeline node in sequence, and a mapping relationship is established between the number and the identification list as a basis for judging the continuity of the displacement warning state of multiple pipeline nodes. At the same time, the pipeline node is positionally identified according to the sequential position of the pipeline node, and a corresponding identification list is constructed according to the position identification, wherein the identification list includes a node identification and a sequential identification under the node identification, and the identification list also includes a maintenance node identification of a target node identification for establishing a mapping relationship, and the pipeline node corresponding to the maintenance node identification is used to prompt maintenance personnel to inspect and maintain, and a node identification under the identification list includes at least one pipeline node position identification with a mapping relationship, wherein the pipeline node position identification with a mapping relationship is used to represent pipeline nodes at different positions of the pipeline, and when the displacement of the pipeline node exceeds the displacement warning threshold, maintenance prompt information is generated according to the node identification where the corresponding position identification of the pipeline node is located, so as to be used by maintenance personnel to locate the position of the pipeline node to be repaired.
[0035] The embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit, the above functions defined in the method of the present application are executed. It should be noted that the computer-readable medium mentioned above in the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of an electrical, magnetic, optical, electromagnetic, infrared segment, or semiconductor, or any combination of the above. More specific examples of computer-readable storage media can include, but are not limited to: an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory, a read-only memory, an erasable programmable read-only memory, an optical fiber, a portable compact disk read-only memory, an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to: wireless segments, wire segments, optical cables, RF, etc., or any suitable combination of the above.
[0036] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0037] Those skilled in the art should understand that the above description is only a specific implementation mode of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be covered by the protection scope of the present application.
Claims
1. A real-time monitoring method for pipeline displacement based on machine vision, characterized in that: The method comprises: In the SACD system, a corresponding number of visual image acquisition machines are configured according to the number of pipeline distributions, wherein each of the visual image acquisition machines monitors a plurality of pipeline nodes of the corresponding pipeline; Configuring a safety strategy for pipeline monitoring, wherein the safety strategy includes configuring a displacement warning threshold on each pipeline node, and comparing the displacement warning threshold with the displacement amount of the corresponding pipeline node to determine the displacement state of the pipeline node; When the corresponding pipeline node exceeds the displacement warning threshold, dynamically adjust the configured displacement warning threshold of the adjacent pipeline node; The continuity and quantity data of the displacement warning status of the plurality of pipeline nodes of the corresponding pipeline are obtained, and different pipeline safety statuses are fed back according to the data.
2. The real-time monitoring method for pipeline displacement based on machine vision according to claim 1 is characterized in that: The pipeline node is identified according to the sequential position of the pipeline node, and a corresponding identification list is constructed according to the position identification, wherein the identification list includes a node identification and a sequential identification under the node identification, and the identification list also includes a maintenance node identification of a target node identification for establishing a mapping relationship, and the pipeline node corresponding to the maintenance node identification is used to prompt maintenance personnel to check and maintain.
3. The real-time monitoring method for pipeline displacement based on machine vision according to claim 2 is characterized in that: The pipeline is divided into pipeline nodes according to the position of its flange connection or by dividing its length into equal parts. After the division, a unique number is assigned to each pipeline node in sequence, and a mapping relationship is established between the number and the identification list as a basis for judging the continuity of the displacement warning status of multiple pipeline nodes.
4. The real-time monitoring method for pipeline displacement based on machine vision according to claim 2 is characterized in that: A node identifier under the identifier list includes at least one pipeline node position identifier with a mapping relationship, wherein the pipeline node position identifier with a mapping relationship is used to represent pipeline nodes at different positions of the pipeline, and when the displacement of the pipeline node exceeds the displacement warning threshold, maintenance prompt information is generated according to the node identifier where the corresponding position identifier of the pipeline node is located, so as to be used by maintenance personnel to locate the position of the pipeline node that needs maintenance.
5. The real-time monitoring method for pipeline displacement based on machine vision according to claim 1 is characterized in that: The safety strategy of pipeline monitoring includes: obtaining the displacement of multiple pipeline nodes on the corresponding pipeline, and when the displacement of a single pipeline node is monitored to exceed the displacement warning threshold of the pipeline node, marking the pipeline node as a displacement warning state, and when the displacement of the adjacent pipeline node is within the displacement warning threshold, reducing the displacement warning threshold of the adjacent pipeline node to a secondary threshold k2; comparing the displacement of the corresponding adjacent pipeline node with the secondary threshold k2 to determine its displacement warning state, when the pipeline node reduced to the secondary threshold k2 is marked as a displacement warning state, if there is a pipeline node in its adjacent pipeline node that is not in the displacement warning state, reducing the displacement warning threshold of the pipeline node to a third threshold k3, and when the displacement warning threshold of the nth pipeline node is dynamically reduced and adjusted, calculating the threshold k of the previous level. n-1 and the adjustment factor (1-Y n ) n-1 ×(1-Y n ), obtain the n-th level threshold k of the n-th pipeline node n , until the nth pipeline node is still not in the displacement warning state after its displacement warning threshold is dynamically lowered and adjusted, or the nth pipeline node has no adjacent pipeline node that is not in the displacement warning state.
6. The real-time monitoring method for pipeline displacement based on machine vision according to claim 5 is characterized in that: The safety strategy for pipeline monitoring also includes: when it is monitored that the displacement of multiple pipeline nodes exceeds the displacement warning threshold of the pipeline nodes, the multiple pipeline nodes are all marked as displacement warning status, and the displacement warning thresholds of two adjacent pipeline nodes marked as displacement warning status are not adjusted.
7. The real-time monitoring method for pipeline displacement based on machine vision according to claim 6 is characterized in that: The safety strategy for pipeline monitoring also includes: when two pipeline nodes adjacent to one of the pipeline nodes exceed the displacement warning threshold and cause the pipeline node to respond to two requests to reduce to the secondary threshold k2, the displacement warning threshold of the pipeline node is reduced to a preset high risk level threshold k hg .
8. The method for real-time monitoring of pipeline displacement based on machine vision according to claim 4 is characterized in that: Generate pipeline displacement data, including the sequential position of pipeline nodes, input the displacement warning status of pipeline nodes on each pipeline, 0 indicates that the pipeline node is not in the displacement warning state, and 1 indicates that it is in the displacement warning state. When there is at least one node in the pipeline displacement data with a status of 1, feedback is given that the pipeline needs maintenance operation, and different maintenance operations are selected according to the number of nodes with a status of 1 and the sequential relationship.
9. The method for real-time monitoring of pipeline displacement based on machine vision according to claim 8, characterized in that: When there are pipeline nodes with a state of 1 in the pipeline displacement data and the number is less than a preset value ΔP, and there are not more than Δt pipeline nodes with a continuous state of 1, the feedback pipeline is a local displacement problem; when there are pipeline nodes with a state of 1 in the pipeline displacement data and the number is equal to or greater than the preset value ΔP, and / or there are more than Δt pipeline nodes with a continuous state of 1, the feedback pipeline is a systematic displacement problem.
10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the real-time monitoring method for pipeline displacement based on machine vision as described in any one of claims 1 to 9.