Intelligent test pile for pipeline, pipeline protection method, device, system and storage medium

Abstract

This invention relates to a smart pipeline testing pile, a pipeline protection method, device, system, and storage medium. The smart pipeline testing pile includes a pile body, nameplate, terminal block, pile gate, and pile foundation. It also includes: a wind-solar hybrid power supply module for supplying power to the smart pipeline testing pile; an energy storage module for providing auxiliary power when the wind-solar hybrid power supply module's power supply is insufficient; a multi-dimensional sensing module for synchronously collecting multi-source data; a data processing module for uploading the multi-source data to a remote monitoring platform for generating control commands based on the multi-source data; and a communication module for enabling data interaction between the data processing module and the remote monitoring platform. The technical solution provided by this invention integrates multi-source data for pipeline health status monitoring, improving the accuracy of risk identification. Furthermore, it establishes a comprehensive risk assessment and protection mechanism, shortening risk response time and effectively ensuring the safe and stable operation of the pipeline.

Description

Technical Field

[0001] This invention relates to the field of pipeline operation and maintenance monitoring technology, and in particular to a pipeline intelligent test pile, pipeline protection method, device, system and storage medium. Background Technology

[0002] As the core carrier for oil and gas transportation, the safe and stable operation of pipelines is directly related to public safety, energy supply, and the ecological environment. Currently, pipeline operation and maintenance face multiple risks, including corrosion, third-party damage, and geological disasters. Traditional pipeline testing pile devices have limited functionality, often only performing basic functions such as cathodic protection potential detection, and have many technical shortcomings. This leads to biased assessments of pipeline health status, easily resulting in missed or misjudged risks.

[0003] In addition, traditional pipeline protection mostly adopts a passive response mode. When a pipeline risk is detected, it needs to be dealt with manually, which results in low response efficiency. Furthermore, the adjustment of protective measures such as cathodic protection largely depends on manual operation, making it impossible to achieve closed-loop control based on real-time data. Summary of the Invention

[0004] In view of the above problems, embodiments of the present invention provide a smart pipeline test pile, a pipeline protection method, device, system, and storage medium.

[0005] In a first aspect, embodiments of the present invention provide a smart pipeline testing pile, the smart pipeline testing pile comprising a pile body, a nameplate, a terminal block, a pile gate, and a pile foundation, and the smart pipeline testing pile further comprising: A wind-solar hybrid power supply module is used to supply power to the intelligent pipeline test pile; The energy storage module is used to provide auxiliary power when the power supply from the wind-solar hybrid power supply module is insufficient; A multi-dimensional sensing module is used to simultaneously acquire data from multiple sources; The data processing module is used to upload multi-source data to the remote monitoring platform, so that the remote monitoring platform can generate control commands based on the multi-source data; The communication module is used to enable data interaction between the data processing module and the remote monitoring platform.

[0006] In one possible implementation, the multidimensional sensing module includes any combination of strain sensors, ER corrosion rate sensors, cathodic protection and stray current sensors, joint seepage sensors, and video acquisition units.

[0007] In one possible implementation, the intelligent pipeline test pile further includes a cathodic protection module; the cathodic protection module includes a miniature potentiostat and an auxiliary anode; The output current of the micro potentiostat flows through the soil medium from the auxiliary anode to the pipeline, and then returns from the pipeline to the potentiostat, forming a complete current loop.

[0008] In one possible implementation, the miniature potentiostat is used to automatically adjust the output current based on the cathodic protection potential and the real-time corrosion rate; or, in response to a control command, to adjust the output current so that the cathodic protection potential is within the target protection range.

[0009] In one possible implementation, the intelligent pipeline test pile further includes an internal detection calibration module; When installing the intelligent pipeline test pile, the internal detection module uses GPS and Beidou dual-mode positioning to collect and record the high-precision geographic coordinates of the installation location, and permanently binds the high-precision geographic coordinates to the physical feature points of the pipeline.

[0010] In one possible implementation, the internal detection calibration module is used to generate calibration data upon receiving a magnetic signal and upload the calibration data to a remote monitoring platform.

[0011] Secondly, embodiments of the present invention provide a pipeline protection method, the method comprising: Based on the calibration data, spatiotemporal alignment and data fusion are performed on multi-source data and internal detection data to obtain the pipeline status dataset. According to preset rules, a risk assessment is performed on the pipeline status dataset to obtain the risk assessment results; Based on the risk assessment results, perform the corresponding protection operations.

[0012] Thirdly, embodiments of the present invention provide a pipeline protection device, the device comprising: The fusion module is used to perform spatiotemporal alignment and data fusion of multi-source data and internal detection data based on calibration data to obtain pipeline status dataset. The output module is used to perform risk assessment on the pipeline status dataset according to preset rules and obtain the risk assessment results. The execution module is used to perform corresponding protection operations based on the risk assessment results.

[0013] Fourthly, embodiments of the present invention provide a pipeline protection system, the pipeline protection system comprising: Multiple test pile nodes, each test pile node is equipped with a pipeline intelligent test pile, which is used to collect multi-source data and calibration data, and upload the multi-source data and calibration data to a remote monitoring platform; The remote monitoring platform is used to perform spatiotemporal alignment and data fusion of the multi-source data and internal detection data based on the calibration data to obtain a pipeline status dataset; to perform risk assessment on the pipeline status dataset according to preset rules to obtain risk assessment results; and to execute corresponding protection operations based on the risk assessment results.

[0014] Fifthly, embodiments of the present invention provide a computer-readable storage medium comprising a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the pipeline protection method as described in the third aspect.

[0015] The technical solution provided in this invention integrates multi-source data for pipeline health status monitoring, improving the accuracy of risk identification. Furthermore, it incorporates a comprehensive risk assessment and protection mechanism, shortening risk response time and effectively ensuring the safe and stable operation of the pipeline. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of a pipeline protection system provided in an embodiment of the present invention.

[0017] Figure 2 This is a structural schematic diagram of a smart pipeline test pile provided in an embodiment of the present invention.

[0018] Figure 3 This is a schematic diagram of another intelligent pipeline test pile provided in an embodiment of the present invention.

[0019] Figure 4 This is a schematic flowchart of a pipeline protection method provided in an embodiment of the present invention.

[0020] Figure 5 This is a schematic diagram of another pipeline protection system provided in an embodiment of the present invention.

[0021] Figure 6 This is a schematic diagram of a pipeline protection device provided in an embodiment of the present invention.

[0022] Figure 7 This is a schematic diagram of a server provided in an embodiment of the present invention. Detailed Implementation

[0023] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0024] Figure 1 A schematic diagram of a pipeline protection system provided in an embodiment of the present invention is shown below. Figure 1As shown, the pipeline protection system includes multiple test pile nodes. Each test pile node deploys a smart pipeline test pile for collecting multi-source data and calibration data, which is then uploaded to a remote monitoring platform. In practical applications, test pile nodes are deployed as needed based on the pipeline's laying environment and risk level. They are densely deployed in critical locations such as pipeline crossing sections (i.e., sections where pipelines cross rivers, mountains, highways, or railways underground via methods such as shield tunneling, directional drilling, open excavation, or pipe jacking), sections prone to geological disasters, and densely populated areas, while being deployed reasonably in ordinary road sections. The data processing module in each smart pipeline test pile interacts with other smart pipeline test piles and the remote monitoring platform via a communication module.

[0025] In this embodiment of the invention, the pipeline protection system also includes a remote monitoring platform. As the core management unit of the pipeline protection system, the remote monitoring platform works collaboratively with each intelligent pipeline test pile to achieve distributed intelligent pipeline monitoring. The remote monitoring platform has the following functions: classifying, storing, and analyzing received multi-source data and calibration data to generate a pipeline health status report, i.e., data reception, data storage, and data analysis functions; generating control commands based on multi-source data and issuing the control commands to one or more intelligent pipeline test piles to achieve remote control of the intelligent pipeline test piles, i.e., command issuance function.

[0026] Figure 2 This is a structural schematic diagram of a smart pipeline testing pile provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the intelligent pipeline test pile includes: a test pile (including the pile body, nameplate, terminal block, pile gate, and pile foundation); a wind-solar hybrid power supply module for supplying power to the intelligent pipeline test pile; an energy storage module for providing auxiliary power when the wind-solar hybrid power supply module is insufficient; a multi-dimensional sensing module for synchronously collecting multi-source data; a data processing module for uploading multi-source data to a remote monitoring platform so that the remote monitoring platform can generate control commands based on the multi-source data; and a communication module for enabling data interaction between the data processing module and the remote monitoring platform.

[0027] The wind-solar hybrid power supply module serves as the main power source for the intelligent pipeline testing pile. It employs a combination of a small wind turbine and solar panels, adaptively switching power supply modes based on sunlight and wind conditions to ensure stable power supply to the intelligent pipeline testing pile in various environments, adapting to pipeline service scenarios without grid coverage. For example, the wind turbine uses a horizontal axis design with a starting wind speed ≤3m / s, suitable for different wind conditions such as mountainous areas and plains.

[0028] The energy storage module is electrically connected to the wind-solar hybrid power supply module. The energy storage module has functions such as overcharge and over-discharge protection, over-temperature protection, and short-circuit protection. The energy storage module stores the surplus electrical energy generated by the wind-solar hybrid power supply module. When there is insufficient sunlight, insufficient wind, or no wind or solar power supply, it provides power to the intelligent pipeline test pile, providing stable power support and ensuring uninterrupted operation of the test pile.

[0029] The multi-dimensional sensing module simultaneously acquires data from multiple sources, providing comprehensive data support for pipeline risk identification. The multi-dimensional sensing module includes any combination of strain sensors, ER corrosion rate sensors, cathodic protection and stray current sensors, leak sensors at the joint, and video acquisition units.

[0030] Strain sensors, including axial and circumferential strain sensors, are deployed at the circumferential welds of pipelines to collect strain data at these welds. Specifically, they collect the axial and circumferential strains generated by external stresses such as geological displacement, third-party compression, and temperature changes, accurately capturing the stress state of the pipeline and providing data for identifying third-party damage and geological hazard risks. For example, fiber optic strain sensors can be used, with an accuracy of ±1με and a response time ≤10ms.

[0031] ER corrosion rate sensors are buried in the soil surrounding the pipeline to collect corrosion rate data in real time. For example, a resistance corrosion sensor with a measurement range of 0-10 mm / a and an accuracy of ±0.001 mm / a can be selected. The ER corrosion rate sensor can be directly attached to the outer wall of the pipeline, avoiding weld seams.

[0032] The cathodic protection and stray current sensor is used to collect cathodic protection potential and stray current data. The sensor includes a long-life reference electrode and a potential acquisition unit. It is used in combination with AC corrosion test pieces to test the AC potential of the pipeline, with self-corrosion test pieces to test the self-corrosion potential of the pipeline, and with DC corrosion test pieces to test the on-current and off-current potentials of the pipeline. For example, a long-life reference electrode made of saturated copper sulfate is selected, with a potential stability ≤ ±5mV and a service life ≥ 5 years; the test piece material is the same as the pipeline material, and the size is 1cm. 2 Or 6.5cm 2 .

[0033] The seepage sensor at the joint is a capacitive seepage sensor with a response time of ≤5s. It is installed directly below the pipe along the pipe direction to collect the seepage depth.

[0034] The video acquisition unit uses a high-definition miniature camera, which is waterproof, dustproof, and anti-interference. It is used to collect video data around the pipeline, monitor abnormal situations such as third-party construction and vandalism, and supports target detection, automatically identifying targets such as construction machinery and personnel. For example, a rotatable infrared camera with a resolution of 1080P and night vision capability is selected, with a night vision distance of ≥10m and a waterproof rating of IP67.

[0035] The intelligent pipeline test pile adopts a waterproof, dustproof, and impact-resistant shell with an IP68 protection level, making it suitable for harsh outdoor environments. The bottom is fixed with concrete pouring to ensure a firm installation.

[0036] In this embodiment of the invention, the intelligent pipeline test pile also includes a cathodic protection module, which comprises a miniature potentiostat and an auxiliary anode. The output current of the miniature potentiostat flows through the soil medium from the auxiliary anode to the pipeline, and then returns from the pipeline to the miniature potentiostat, forming a complete current loop.

[0037] In this embodiment of the invention, a miniature potentiostat with an output current of 0-5A and an output voltage of 0-30V is selected, supporting both remote and local adjustment of the output current / voltage. The miniature potentiostat automatically adjusts the output current based on the cathodic protection potential and the real-time corrosion rate; or, in response to control commands, it adjusts the output current to ensure the cathodic protection potential is within the target protection range, i.e., in the optimal cathodic protection state, effectively suppressing pipeline corrosion. The control commands are sent from the remote monitoring platform to the data processing module, and then distributed by the data processing module to the cathodic protection module. The cathodic protection module adjusts the output current in response to the control commands. In other words, the intelligent pipeline testing pile can be linked with the remote monitoring platform to achieve decision-making and control of cathodic protection.

[0038] In this embodiment of the invention, the intelligent pipeline test pile also includes an internal detection and calibration module. During the installation of the test pile, the internal detection and calibration module uses GPS and BeiDou dual-mode positioning to collect and record the high-precision geographic coordinates of the installation location, and permanently binds the high-precision geographic coordinates to the physical feature points of the pipeline (such as the pipeline circumferential weld).

[0039] During pipeline inspection, the detector is driven by the pipeline medium to operate autonomously within the pipeline, simultaneously collecting internal inspection data such as pipeline corrosion and deformation. When the detector passes the location of the internal inspection calibration module, the magnetic signal generated by the permanent magnet activates the internal inspection calibration module. Upon receiving the magnetic signal, the internal inspection calibration module generates calibration data and uploads it to a remote monitoring platform. The calibration data includes detector passage information and position information, thereby enabling detector operation position tracking, operation speed assessment, and providing data alignment reference for the damage data collected by the detector.

[0040] The communication module supports multiple protocols including 4G / 5G, LoRa, and Narrow Band Internet of Things (NB-IoT), adapting to various pipeline laying scenarios (such as remote rural areas and densely populated urban areas). In areas with 4G / 5G signal coverage, 4G / 5G technology is used for high-speed data transmission; in areas without 4G / 5G signal coverage, LoRa is used for low-power data transmission with a communication distance of ≥3km, supporting encrypted data transmission to ensure data security. Furthermore, short-range communication is supported between various test pile nodes, enabling data collaboration and sharing, and improving risk management efficiency.

[0041] In this embodiment of the invention, the wind-solar hybrid power supply module is electrically connected to the multi-dimensional sensing module, the internal detection and calibration module, the data processing module, the communication module, and the cathodic protection module; the energy storage module is electrically connected to the multi-dimensional sensing module, the internal detection and calibration module, the data processing module, the communication module, and the cathodic protection module (not shown in the figure). The wind-solar hybrid module is electrically connected to the energy storage module, the data processing module is data-connected to the multi-dimensional sensing module, the internal detection and calibration module, and the cathodic protection module, and is communicatively connected to the communication module.

[0042] Traditional intelligent pipeline testing piles are limited in function, often only performing basic functions such as cathodic protection potential detection. In contrast, the intelligent pipeline testing pile in this application is equipped with a multi-dimensional sensing module, integrating multiple sensors to acquire multi-source data such as strain data and seepage depth, providing a rich data foundation for pipeline protection. Furthermore, through an internal detection calibration module, calibration data is generated, providing a reference for subsequent data alignment and fusion.

[0043] Figure 3 This is a schematic diagram of another intelligent pipeline test pile provided in an embodiment of the present invention, as shown below. Figure 3 As shown, the intelligent pipeline test pile includes a wind turbine 1, a solar panel 2, a video acquisition unit 3, a communication module 4, a nameplate 5, a pile body 6, an energy storage module 7, a data processing module 8, a terminal block 9, a pile gate 10, a miniature potentiostat 11, a potential acquisition unit 12, an internal detection and calibration module 13, a pile foundation 14, an auxiliary anode 15, an ER corrosion rate sensor 16, an AC corrosion test piece 17, a self-corrosion test piece 18, a long-lasting reference electrode 19, a DC corrosion test piece 20, a wiring weld point 21 between the buried pipeline and the intelligent pipeline test pile, a strain sensor 22, and a seepage sensor at the joint 23.

[0044] Figure 4 This is a schematic flowchart of a pipeline protection method provided in an embodiment of the present invention, as shown below. Figure 4 As shown, the method includes: Step 101: Preprocess the received multi-source data. Using the calibration data as a benchmark, perform spatiotemporal alignment and data fusion on the multi-source data and internal detection data to obtain the pipeline status dataset.

[0045] In this embodiment of the invention, each step is executed by a remote monitoring platform, which is deployed on a server.

[0046] Preprocessing includes data deduplication, outlier filtering, noise reduction, smoothing, and data standardization.

[0047] After the deployment and commissioning of each intelligent test pile for the pipeline are completed, multi-source data is collected synchronously at a preset frequency and uploaded to the remote monitoring platform. Different sampling frequencies are set for different operating conditions. For example, under normal operating conditions, the video acquisition unit collects video data every 2 hours, and the sensors other than the video acquisition unit collect sensor data every hour; under high-risk operating conditions (such as sections prone to geological disasters, sections with frequent construction, sections with severe stray current interference, etc.), the video acquisition unit collects video data every 10 minutes, and the sensors other than the video acquisition unit collect sensor data every 5 minutes. When the risk assessment result indicates the existence of risk (such as the risk of third-party damage or geological displacement), high-frequency acquisition is automatically triggered. For example, the video acquisition unit collects one frame of video data per second, and the sensors other than the video acquisition unit collect sensor data once per minute.

[0048] The remote monitoring platform uses the location information in the calibration data as a spatial reference. It employs spatiotemporal alignment technology to align multi-source data and internal inspection data (such as the location and size of internal corrosion defects in pipelines). Then, it uses data fusion technology (such as Kalman filtering and weighted data fusion) to fuse the spatiotemporally aligned data, resulting in a pipeline status dataset. Furthermore, if the remote monitoring platform is connected to related systems such as an operation and maintenance management system, relevant data from the operation and maintenance management system can also be spatiotemporally aligned and fused when establishing the pipeline status dataset.

[0049] Step 102: Perform a risk assessment on the pipeline status dataset according to the preset rules to obtain the risk assessment results.

[0050] In this embodiment of the invention, the preset rules are as follows: When strain data (including axial strain and circumferential strain) shows abrupt changes, or exhibits an abnormal growth trend, or when strain data exceeds a preset strain threshold, it is determined that there is a risk of third-party damage or geological displacement.

[0051] When the real-time corrosion rate exceeds the preset corrosion rate threshold, or when the real-time corrosion rate shows a continuous upward trend, it is determined that there is a risk of localized corrosion.

[0052] When the cathodic protection potential deviates from the target protection range, or when the stray current interference index exceeds the set upper limit, it is determined that there is a risk of cathodic protection failure or stray current interference.

[0053] When the seepage depth exceeds the preset seepage depth threshold, it is determined that there is a risk of corrosion protection layer failure.

[0054] When construction machinery or personnel are identified from video data, it is determined that there is a risk of third-party construction.

[0055] Step 103: Based on the risk assessment results, perform the corresponding protection operations.

[0056] In this step, when there is a risk of third-party damage or geological displacement, the data sampling frequency is increased. For example, the remote monitoring platform sends control commands to the data processing modules of the current intelligent pipeline test pile and surrounding intelligent pipeline test piles. The data processing modules of each test pile then distribute the control commands to the corresponding multi-dimensional sensing modules. The multi-dimensional sensing modules respond to the control commands, increasing the acquisition frequency of multi-source data. The data processing modules upload the multi-source data, along with high-precision geographic coordinates and timestamps, to the remote monitoring platform via the communication module. The remote monitoring platform uses the multi-source data to confirm the presence of external disturbances and decide whether to dispatch manual inspection.

[0057] When there is a risk of localized corrosion, the remote monitoring platform sends a control command to the data processing module of the intelligent pipeline test pile. The data processing module then distributes the control command to the cathodic protection module. In response to the control command, the cathodic protection module controls the micro potentiostat to adjust the output current until the target protection potential is restored.

[0058] When there is a risk of cathodic protection failure or stray current interference, the output current of the miniature potentiostat is adjusted, or the surrounding test pile nodes are coordinated to redistribute the local current. If the cathodic protection potential still does not return to the target protection range after adjustment, a maintenance work order is generated for manual intervention by maintenance personnel.

[0059] When there is a risk of corrosion layer failure, a comprehensive assessment is conducted by combining real-time corrosion rate and cathodic protection potential to trigger local protection enhancement and manual inspection.

[0060] When there is a risk of third-party construction, video evidence collection is triggered. The data processing module uploads the video data, along with high-precision geographic coordinates and timestamps, to the remote monitoring platform through the communication module.

[0061] At the same time, when the risk assessment result indicates that a risk exists, an early warning is triggered. The remote monitoring platform generates early warning information based on high-precision geographic coordinates, timestamps, and risk types, and pushes the early warning information to relevant operation and maintenance personnel.

[0062] In this embodiment of the invention, the above-mentioned pipeline protection method is illustrated through the following two application scenarios.

[0063] The following example illustrates an application scenario where strain data exhibits a sudden change. A smart pipeline test pile A, deployed in a mountainous area, detects a sudden change in axial strain to 800 με via strain sensors, exceeding the preset strain threshold of 500 με, indicating a risk of geological displacement or third-party damage. In this case, the following process is automatically executed: The remote monitoring platform sends control commands to the data processing modules of test pile A and its three surrounding test piles. The data processing modules then distribute these commands to the multi-dimensional sensing modules. Responding to the control commands, the multi-dimensional sensing modules increase the sampling frequency of multi-source data. For example, the sampling frequency is increased to one frame of video data per second for the video acquisition unit, and sensor data from other sensors is collected once per minute. The video acquisition unit performs image recognition and analysis on the video data, confirming a minor landslide, and uploads the video data, along with a timestamp and high-precision geographic coordinates, to the remote monitoring platform. The remote monitoring platform generates an inspection work order and dispatches an inspection team with equipment to the site for verification. After on-site verification, the inspection team implements slope reinforcement measures to mitigate the risk. Once the risk is eliminated, the data sampling frequency will be restored to the sampling frequency under normal operating conditions, thus completing the closed-loop handling of the risk.

[0064] The following description uses a stray current interference application scenario as an example. Intelligent pipeline test pile B, deployed on the outskirts of a city, shows AC potential and DC current density exceeding preset thresholds as monitored by cathodic protection and stray current sensors. Simultaneously, the real-time corrosion rate detected by the ER corrosion rate sensor shows a continuous upward trend, indicating a corrosion risk caused by stray current interference. In this case, the following process is automatically executed: The remote monitoring platform sends control commands to the data processing modules of test pile B and two surrounding test piles. The data processing modules distribute the control commands to control the micro potentiostat to adjust the output current, or coordinate with surrounding test pile nodes to redistribute the local current to suppress the interference of stray current. If the cathodic protection potential still does not return to the target protection range after adjustment, a maintenance work order is generated, and maintenance personnel intervene manually to investigate the source of the stray current (such as high-voltage lines, electrified railways, etc.) and take targeted shielding measures. After on-site investigation, maintenance personnel found that the stray current originated from a newly built high-voltage transmission line nearby. After installing a drainage device, the cathodic protection potential returned to the target protection range, the real-time corrosion rate decreased, and the risk was eliminated. After the risk is eliminated, relevant parameters in the area will be continuously monitored in order to promptly identify pipeline risks.

[0065] The technical solution provided in this invention integrates multi-source data for pipeline health status monitoring, improving the accuracy of risk identification. Furthermore, it incorporates a comprehensive risk assessment and protection mechanism, shortening risk response time and effectively ensuring the safe and stable operation of the pipeline.

[0066] Figure 5 A schematic diagram of another pipeline protection system provided in an embodiment of the present invention, as shown below. Figure 5 As shown, the system comprises a data acquisition layer, a data processing layer, a risk assessment layer, a linkage decision-making layer, and an execution layer. The data acquisition layer includes a multi-dimensional sensing module and an internal detection calibration module. The multi-dimensional sensing module includes strain sensors, ER corrosion rate sensors, cathodic protection and stray current sensors, joint seepage sensors, and a video acquisition unit. The data acquisition layer synchronously acquires multi-source data through the multi-dimensional sensing module and acquires calibration data through the internal detection calibration module, then transmits the multi-source data and calibration data to the data processing layer. The data processing layer preprocesses the received multi-source data, performs spatiotemporal alignment and data fusion on the multi-source data and internal detection data based on the calibration data, and obtains a pipeline status dataset, which is then transmitted to the risk assessment layer. The risk assessment layer performs a risk assessment on the pipeline status dataset according to preset rules, obtains the risk assessment result, and transmits the risk assessment result to the linkage decision-making layer. Based on the risk assessment result, the linkage decision-making layer decides on the corresponding protection operation and entrusts the execution layer to carry out the protection operation. Related content can be found in the pipeline protection method section above; for brevity, it will not be repeated here.

[0067] Figure 6 This is a schematic diagram of the structure of a pipeline protection device provided in an embodiment of the present invention, as shown below. Figure 6 As shown, the device includes a fusion module 201, an output module 202, and an execution module 203. The fusion module 201 is used to perform spatiotemporal alignment and data fusion on multi-source data and internal detection data based on calibration data to obtain a pipeline status dataset; the output module 202 is used to perform risk assessment on the pipeline status dataset according to preset rules to obtain risk assessment results; the execution module 203 is used to perform corresponding protection operations based on the risk assessment results.

[0068] The technical solution provided in this invention integrates multi-source data for pipeline health status monitoring, improving the accuracy of risk identification. Furthermore, it incorporates a comprehensive risk assessment and protection mechanism, shortening risk response time and effectively ensuring the safe and stable operation of the pipeline.

[0069] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is running, it controls the device where the computer-readable storage medium is located to execute the steps of the embodiments of the above-described pipeline protection method. For a detailed description, please refer to the embodiments of the above-described pipeline protection method.

[0070] Figure 7 A schematic diagram of a server provided in an embodiment of the present invention, as shown below. Figure 7As shown, the server 30 in this embodiment includes a processor 301, a memory 302, and a computer program 303 stored in the memory 302 and executable on the processor 301. When the processor 301 executes the computer program 303, it implements the steps in the various method embodiments described above. Alternatively, when the processor 301 executes the computer program 303, it implements the functions of each module / unit in the various device embodiments described above.

[0071] Server 30 can be an electronic device such as a desktop computer, laptop, handheld computer, or cloud server. Server 30 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will understand that... Figure 7 This is merely an example of server 30 and does not constitute a limitation on server 30. It may include more or fewer components than shown, or different components.

[0072] The processor 301 can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0073] The memory 302 can be an internal storage unit of the server 30, such as a hard drive or memory of the server 30. The memory 302 can also be an external storage device of the server 30, such as a plug-in hard drive, SmartMedia Card (SMC), Secure Digital (SD) card, or FlashCard. The memory 302 can also include both internal and external storage units of the server 30. The memory 302 is used to store computer programs and other programs and data required by electronic devices.

[0074] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0075] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A smart pipeline testing pile, the smart pipeline testing pile comprising a pile body, a nameplate, a terminal block, a pile gate, and a pile foundation, characterized in that, The intelligent pipeline testing pile also includes: A wind-solar hybrid power supply module is used to supply power to the intelligent pipeline test pile; The energy storage module is used to provide auxiliary power when the power supply from the wind-solar hybrid power supply module is insufficient; A multi-dimensional sensing module is used to simultaneously acquire data from multiple sources; The data processing module is used to upload multi-source data to the remote monitoring platform, so that the remote monitoring platform can generate control commands based on the multi-source data; The communication module is used to enable data interaction between the data processing module and the remote monitoring platform.

2. The intelligent pipeline testing pile according to claim 1, characterized in that, The multidimensional sensing module includes any combination of strain sensors, ER corrosion rate sensors, cathodic protection and stray current sensors, joint seepage sensors, and video acquisition units.

3. The intelligent pipeline testing pile according to claim 1, characterized in that, The intelligent pipeline test pile also includes a cathodic protection module; the cathodic protection module includes a miniature potentiostat and an auxiliary anode. The output current of the micro potentiostat flows through the soil medium from the auxiliary anode to the pipeline, and then returns from the pipeline to the potentiostat, forming a complete current loop.

4. The intelligent pipeline testing pile according to claim 3, characterized in that, The miniature potentiostat is used to automatically adjust the output current according to the cathodic protection potential and the real-time corrosion rate; or, in response to a control command, to adjust the output current so that the cathodic protection potential is within the target protection range.

5. The intelligent pipeline testing pile according to claim 1, characterized in that, The intelligent pipeline test pile also includes an internal detection and calibration module; When installing the intelligent pipeline test pile, the internal detection module uses GPS and Beidou dual-mode positioning to collect and record the high-precision geographic coordinates of the installation location, and permanently binds the high-precision geographic coordinates to the physical feature points of the pipeline.

6. The intelligent pipeline testing pile according to claim 5, characterized in that, The internal detection calibration module is used to generate calibration data when a magnetic signal is received, and upload the calibration data to the remote monitoring platform.

7. A pipeline protection method, characterized in that, The method includes: Based on the calibration data, spatiotemporal alignment and data fusion are performed on multi-source data and internal detection data to obtain the pipeline status dataset. According to preset rules, a risk assessment is performed on the pipeline status dataset to obtain the risk assessment results. Based on the risk assessment results, perform the corresponding protection operations.

8. A pipeline protection device, characterized in that, The device includes: The fusion module is used to perform spatiotemporal alignment and data fusion of multi-source data and internal detection data based on calibration data to obtain pipeline status dataset. The output module is used to perform risk assessment on the pipeline status dataset according to preset rules and obtain the risk assessment results. The execution module is used to perform corresponding protection operations based on the risk assessment results.

9. A pipeline protection system, characterized in that, The pipeline protection system includes: Multiple test pile nodes, each test pile node is equipped with a pipeline intelligent test pile, which is used to collect multi-source data and calibration data, and upload the multi-source data and calibration data to a remote monitoring platform; The remote monitoring platform is used to perform spatiotemporal alignment and data fusion of the multi-source data and internal detection data based on the calibration data to obtain a pipeline status dataset; to perform risk assessment on the pipeline status dataset according to preset rules to obtain risk assessment results; and to execute corresponding protection operations based on the risk assessment results.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the pipeline protection method as described in claim 7.

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