A disaster early warning method and system for an overseas crude oil pipeline system

Abstract

This invention discloses a disaster early warning method and system for overseas crude oil pipeline systems, belonging to the field of pipeline safety technology. The disaster early warning method for overseas crude oil pipeline systems includes constructing an equivalent sand table model and conducting experiments based on the sand table model. By acquiring the target components and attributes of the crude oil pipeline system, an equivalent sand table model corresponding to the crude oil pipeline system is constructed. Rainfall simulation experiments are then conducted based on the equivalent sand table model, simulating rainfall events of different intensities and durations to assess the pipeline's integrity under various heavy rainfall conditions, i.e., evaluating the disaster resistance capability of the crude oil pipeline system. When the evaluation result is low, corresponding early warning information is generated. This addresses the problem of current early warning methods relying too heavily on disaster data and lacking predictability, improving the reliability and accuracy of the evaluation results.

Description

Technical Field

[0001] This invention belongs to the field of pipeline safety technology, specifically relating to a disaster early warning method and system for overseas crude oil pipeline systems. Background Technology

[0002] With the rapid development of the petroleum industry and the long-term high level of oil consumption, a large number of long-distance crude oil pipelines have been put into operation, and their scale, number, mileage, and coverage are constantly expanding. Among them, overseas crude oil pipelines face various natural disaster threats during operation due to their complex meteorological and geological conditions. Heavy rainfall poses a serious challenge to the safe operation of pipelines. Heavy rainfall may cause problems such as pipeline corrosion, foundation subsidence, flood erosion, and mudslides, which may lead to serious consequences such as electrical equipment failure, communication interruption, and even leakage accidents. At the same time, due to objective obstacles in their inspection and supervision, emergency response is easily delayed, resulting in unstable supply and loss of life and property.

[0003] Currently, the early warning methods for heavy rainfall disasters in overseas crude oil pipeline systems are not perfect. Traditional early warning methods mainly rely on manual observation and simple weather forecasts, which cannot accurately predict the occurrence of heavy rainfall disasters. This results in short warning time and untimely response, which brings great risks to the safe operation of pipelines. At the same time, most of the existing assessment work is based on real disaster data, but relevant data can usually only be obtained after the accident occurs, and the analysis process is cumbersome and inefficient. Summary of the Invention

[0004] The purpose of this invention is to provide a disaster early warning method, system, electronic device, and readable storage medium for overseas crude oil pipeline systems, in order to solve the problems of low accuracy and efficiency of existing disaster early warning methods mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a disaster early warning method for overseas crude oil pipeline systems, comprising:

[0006] Identify the target components and target attributes of the crude oil pipeline system;

[0007] Construct an equivalent sand table model of the crude oil pipeline system based on the target components and target attributes of the crude oil pipeline system;

[0008] Rainfall simulation experiments were conducted based on an equivalent sand table model, and experimental data from the equivalent sand table model were obtained.

[0009] The disaster resistance capability of crude oil pipeline systems is assessed based on experimental data, and early warning information is issued when the disaster resistance capability assessment result of crude oil pipeline systems is low.

[0010] Furthermore, the target components of the crude oil pipeline system were identified as follows:

[0011] Obtain the initial components of the crude oil pipeline and then filter them to obtain the target components.

[0012] Furthermore, the target attributes include pipeline data and environmental data.

[0013] Furthermore, the pipeline data includes the pipeline's material, thickness, coating condition, historical corrosion records, communication equipment status, and pipeline routing data. The environmental data includes the climate characteristics of the pipeline's geographical location, the geological structure around the pipeline, soil type, vegetation cover, and drainage system design data along the pipeline route.

[0014] Furthermore, the target components include high-value equipment, high-failure-rate equipment, difficult-to-maintain equipment, and production-critical equipment.

[0015] Furthermore, the rainfall simulation experiment based on the equivalent sand table model includes:

[0016] A sprinkler system and a water flow system were constructed, and at least one rainfall application point was selected on the equivalent sand table model to conduct a rainfall simulation experiment.

[0017] Furthermore, the rainfall simulation test includes one or more of rainfall simulation, foundation settlement simulation, flood scour simulation, and debris flow simulation.

[0018] Furthermore, the test data includes the ambient water depth of the target component, the deformation of the target component, and the stress change.

[0019] Furthermore, the method also includes determining the acceptable range of the crude oil pipeline system, which includes acquiring the operating data of the crude oil pipeline system and performing simulations under the constraints of the operating data to determine the acceptable range of the crude oil pipeline system.

[0020] Furthermore, the assessment of the disaster resistance capability of the crude oil pipeline system based on experimental data includes:

[0021] The test data is assessed to determine whether it falls within the acceptable range for the crude oil pipeline system. If the test data exceeds the acceptable range for the crude oil pipeline system, the system is deemed to have low disaster resistance.

[0022] Another aspect of this application discloses a disaster early warning system for overseas crude oil pipeline systems, including:

[0023] The acquisition module is configured to determine target components and target attributes of a crude oil pipeline system, the target attributes including pipeline data and environmental data.

[0024] The modeling module is configured to construct an equivalent sand table model of the crude oil pipeline system based on the target components and target attributes of the crude oil pipeline system.

[0025] The test module is configured to conduct rainfall simulation experiments based on an equivalent sand table model and acquire test data from the equivalent sand table model.

[0026] The early warning module is configured to assess the disaster resistance capability of the crude oil pipeline system based on test data, and issue an early warning message when the disaster resistance capability assessment result of the crude oil pipeline system is low.

[0027] Compared with the prior art, the beneficial effects of the present invention are:

[0028] This application constructs an equivalent sand table model corresponding to the crude oil pipeline system by acquiring the target components and target attributes of the crude oil pipeline system, and conducts rainfall simulation tests based on the equivalent sand table model, that is, simulating rainfall events of different intensities and durations to evaluate the integrity of the pipeline under various heavy rainfall conditions, that is, to assess the disaster resistance capability of the crude oil pipeline system, and generates early warning information when the evaluation result is low. This can solve the problem that the current early warning methods rely too much on disaster data and lack of foresight, and improve the reliability and accuracy of the evaluation results. Attached Figure Description

[0029] Figure 1 This is a schematic diagram of the first network architecture of the overseas crude oil pipeline disaster early warning method provided by the present invention;

[0030] Figure 2 This is a flowchart illustrating the overseas crude oil pipeline disaster early warning method provided in the first embodiment of the present invention;

[0031] Figure 3 This is a schematic diagram of the equivalent sand table model of each functional area of ​​the pipeline system in the overseas crude oil pipeline disaster early warning method provided in this embodiment of the invention;

[0032] Figure 4 This is a schematic diagram of an equivalent sand table model of the pipeline system pumps and compressor stations in the overseas crude oil pipeline disaster early warning method provided in this embodiment of the invention;

[0033] Figure 5 This is a schematic diagram of an equivalent sand table model of the pipeline system regulating station in the overseas crude oil pipeline disaster early warning method provided in this embodiment of the invention;

[0034] Figure 6 This is a schematic diagram of an equivalent sand table model of the oil storage facilities in the pipeline system of the overseas crude oil pipeline disaster early warning method provided in this embodiment of the invention;

[0035] Figure 7 This is a first block diagram of an electronic device used to implement the overseas crude oil pipeline disaster early warning method of the present invention.

[0036] Figure 8 This is a second block diagram of an electronic device used to implement the overseas crude oil pipeline disaster early warning method of the present invention. Detailed Implementation

[0037] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] like Figure 1 As shown, the technical solution proposed in this application mainly targets the following application scenarios: When a design engineer has completed the design of at least one section of an overseas crude oil pipeline, but before the establishment of each section of the overseas crude oil pipeline system, or when at least one crude oil pipeline system has been established, an electronic device 1 and a database or external server 3 can be set up accordingly. The electronic device 1 is pre-installed with a client corresponding to the overseas crude oil pipeline system disaster early warning method. The server 3 pre-stores initial component data for multiple preset crude oil pipeline sections. The client's operation interface displays a list of overseas crude oil pipeline systems, which includes multiple crude oil pipeline system identifiers. User 2 can trigger an overseas crude oil pipeline system assessment request by selecting any crude oil pipeline system identifier from the list. User 2 can trigger the overseas crude oil pipeline system assessment request through the client's operation interface. When a system assessment request is received, electronic device 1 parses the pipeline system assessment request and obtains the identification information of the crude oil pipeline system. Electronic device 1 then accesses server 3 to obtain the initial component data of the overseas crude oil pipeline system corresponding to the identification information. It filters the initial component information to obtain the target component data of the crude oil pipeline system and establishes an equivalent sand table model of the pipeline system based on the target component information and corresponding connection relationships. Electronic device 1 then conducts a rainfall simulation test on the equivalent sand table model to obtain rainfall simulation test data. Based on the heavy rainfall simulation test data, it assesses the disaster resistance capability of the overseas crude oil pipeline system. If the assessment result shows that the system's disaster resistance capability is low, it generates a heavy rainfall disaster warning message for the overseas crude oil pipeline. Specifically, the aforementioned overseas crude oil pipeline system disaster warning method includes:

[0039] S100: Determine the target components and target attributes of the crude oil pipeline system, wherein the target attributes include pipeline data and environmental data;

[0040] S200: Constructing an equivalent sand table model of a crude oil pipeline system based on the target components and target attributes of the crude oil pipeline system;

[0041] S300: Conduct rainfall simulation experiments based on an equivalent sand table model and obtain experimental data from the equivalent sand table model;

[0042] S400: Assess the disaster resistance capability of crude oil pipeline systems based on test data, and issue early warning information when the disaster resistance capability assessment result of crude oil pipeline systems is low.

[0043] In this embodiment, the pipeline data in the target attributes mentioned above includes, for example, data such as the pipeline material, thickness, coating condition, historical corrosion records, communication equipment status, and pipeline route. The environmental data includes, for example, data such as the climate characteristics of the geographical location of the pipeline, the geological structure around the pipeline, soil type, vegetation cover, and the design of the drainage system along the pipeline.

[0044] In this embodiment, the target components are high-value equipment, high-failure-rate equipment, difficult-to-maintain equipment, or critical production equipment in overseas crude oil pipeline systems. High-value equipment refers to equipment with high economic value or high replacement costs. When such equipment is damaged in heavy rainfall disasters, replacing it would result in significant economic losses, so it should be considered important equipment and given due consideration during the evaluation process. High-failure-rate equipment refers to pipeline main bodies or their components with relatively low resistance to heavy rainfall, or with a higher failure rate compared to other equipment when affected by heavy rainfall. High-failure-rate equipment also includes outdoor equipment easily affected and damaged by heavy rainfall; difficult-to-maintain equipment… "Spare" refers to equipment that has been damaged or malfunctioned and requires a long time for repair and maintenance. "Key production equipment" refers to equipment that, if damaged, would have a significant impact on production and daily life. These equipment play a crucial role in the entire overseas crude oil pipeline system. If such equipment fails and becomes inoperable, it could severely affect the overseas crude oil pipeline system, and in severe cases, lead to the shutdown of the overseas crude oil pipeline. Therefore, the above-mentioned high-value equipment, high failure rate equipment, difficult-to-repair equipment, and key production equipment are selected as the target components for the equivalent sand table model. This can reduce the complexity of modeling equivalent sand table models for all equipment while ensuring the accuracy of simulation and prediction based on the equivalent sand table model.

[0045] In some embodiments, before establishing an equivalent sand table model, it is necessary to obtain the initial components corresponding to the overseas crude oil pipeline system. These initial components include target components and non-target components. Non-target components include low-value equipment, low-failure-rate equipment, easily maintainable equipment, and non-production-critical equipment. After obtaining the initial components corresponding to the overseas crude oil pipeline system, the initial components are selectively screened to obtain the target components within the overseas crude oil pipeline system. In some embodiments, the aforementioned overseas crude oil pipeline system includes multiple functional areas. The target components within each functional area can be determined based on the corresponding functional area, thereby determining all target components of the crude oil pipeline system. For example, refer to... Figure 3The functional area between the crude oil refinery 31 and the existing port 38 may, exemplarily, include a pumping station 32, a compressor station 34, a regulating station 33, an oil storage facility 36, and a crude oil pipeline 35. In other examples, the functional area may also include a substation, a control room, a maintenance workshop, communication facilities, etc., corresponding to [reference needed]. Figures 4-6 The target components corresponding to pump station 32 and compressor station 34 include pumps and compressors 41, valves 42, instrument system 43, and drive device 44. The target components corresponding to regulating station 33 include instrument system 51 and regulating valve 52. The target components corresponding to oil storage facility 36 include oil storage facility 36, safety monitoring system 37, and distribution pipeline 39. At this time, when screening equipment components in the overseas crude oil pipeline system, the crude oil pipeline system can be divided according to functional areas, and the target components can be screened in each functional area.

[0046] In some embodiments, before acquiring the target component of an overseas crude oil pipeline, identification information of all types of target components can be stored in advance. After acquiring all equipment component data of the overseas crude oil pipeline system (i.e., after acquiring the initial component data), the equipment identification of the overseas crude oil pipeline is compared with the identification information of all types of target components stored in advance. If it matches the identification of a target component stored in advance, the equipment in the overseas crude oil pipeline is extracted as the target component, so as to achieve rapid positioning of the target component in the crude oil pipeline system. For example, the identification information includes equipment name, equipment code and other data.

[0047] In some embodiments, the target components and target attributes of the crude oil pipeline system are obtained, and the crude oil pipeline system is divided into multiple functional areas accordingly. Based on the information of each target component in the functional area and the connection relationship of each target component, an equivalent sand table design drawing of each functional area is established. Then, based on the equivalent sand table design drawing of each functional area and the connection relationship of each functional area, a corresponding equivalent sand table model is established.

[0048] In this embodiment, after the equivalent sand table model is established, a heavy rainfall simulation test is conducted. That is, a rainfall simulation test is conducted based on the equivalent sand table model. First, the location of the target component needs to be selected as the rainfall application point. For example, in the equivalent sand table model corresponding to multiple functional areas under the overseas crude oil pipeline system, the target component is selected as the heavy rainfall target application point to conduct a heavy rainfall test. For example, a sprinkler system and a water flow system can be established to simulate the rainfall erosion and possible disasters such as foundation settlement, flood erosion, and debris flow during the heavy rainfall disaster process. In the specific test process, disaster modes such as "rainfall only", "foundation settlement", "flood erosion", and "debris flow" and their combination modes can be selected, that is, a verification matrix as shown in the table below can be established:

[0049] Rainfall pattern Rainfall Foundation settlement Flood mudslide Rainfall — Foundation settlement — Flood — mudslide —

[0050] Meanwhile, the amount of rainfall can be adjusted during the simulation to achieve the purpose of tiered simulation of rainfall. In order to make the analysis more comprehensive, multiple heavy rainfall target application points are set to obtain multiple heavy rainfall test data.

[0051] After conducting rainfall tests based on an equivalent sand table model, corresponding test data for the equivalent sand table model can be obtained. This test data can objectively represent the state and environment of the target components after the rainfall test. For example, the test data includes the environmental water depth, deformation, and stress change of each target component. After obtaining the test data, the disaster resistance capacity of the overseas crude oil pipeline system is assessed by comparing the test data with a predetermined acceptable range for the crude oil pipeline system. It is also used to assess whether the overseas crude oil pipeline can maintain its integrity under heavy rainfall disasters based on the comparison results, that is, to assess the disaster resistance capacity of the crude oil pipeline system. For example, if the test data exceeds... If the predetermined acceptable range of the crude oil pipeline system is not met (e.g., the ambient water depth is higher than the set maximum ambient water depth, the stress change exceeds the maximum change, etc.), it indicates that the overseas crude oil pipeline system has insufficient disaster resistance. Specifically, determining the acceptable range of the crude oil pipeline system requires obtaining the operating data of the crude oil pipeline system in advance, such as the transportation pressure of the crude oil pipeline and the output power of the pump, and determining the acceptable range of the crude oil pipeline system through mechanical calculations and simulations. For example, for transportation pipelines, under the condition that the specifications, materials and transportation pressure are determined, simulation tests can be conducted to determine, for example, the maximum allowable value of its strain.

[0052] When the disaster resistance assessment result of the original pipeline system is low, a corresponding early warning message will be generated and can be further sent to staff to remind them to make changes to the layout of the overseas crude oil pipeline system.

[0053] In some examples, when assessing the insufficient disaster resistance of overseas crude oil pipeline systems, it is necessary to adjust the equivalent sand table model. For example, the equivalent sand table model may be adjusted based on a preset heavy rainfall prevention strategy, and rainfall simulation tests may be carried out again based on the adjusted equivalent sand table model until the disaster resistance evaluation result of the crude oil pipeline system is high. Then, the crude oil pipeline system may be adjusted in a targeted manner based on the adjustments made to the equivalent sand table model.

[0054] This application also discloses a disaster early warning system for overseas crude oil pipeline systems, including...

[0055] The acquisition module is configured to determine target components and target attributes of a crude oil pipeline system, the target attributes including pipeline data and environmental data.

[0056] The modeling module is configured to construct an equivalent sand table model of the crude oil pipeline system based on the target components and target attributes of the crude oil pipeline system.

[0057] The test module is configured to conduct rainfall simulation experiments based on an equivalent sand table model and acquire test data from the equivalent sand table model.

[0058] The early warning module is configured to assess the disaster resistance capability of the crude oil pipeline system based on test data, and issue an early warning message when the disaster resistance capability assessment result of the crude oil pipeline system is low.

[0059] Figure 7 This is a first block diagram of an electronic device used to implement the overseas crude oil pipeline disaster early warning method of this invention. Figure 8 As shown, the electronic device 400 includes: a memory 401 and a processor 402.

[0060] Memory 401 stores computer-executed instructions;

[0061] At least one processor 402 executes computer execution instructions stored in memory, causing the at least one processor to perform the method provided in the above embodiments.

[0062] Figure 8 This is a second block diagram of an electronic device used to implement the overseas crude oil pipeline heavy rainfall disaster early warning method of the present invention, as shown in the embodiment of the invention. Figure 8 As shown, the electronic device can be a computer, digital broadcasting terminal, messaging device, tablet device, personal digital assistant, server, server cluster, etc.

[0063] Electronic device 500 may include one or more of the following components: processing component 502, memory 504, power supply component 506, multimedia component 508, audio component 510, input / output (I / O) interface 512, sensor component 514, and communication component 516.

[0064] Processing component 502 typically controls the overall operation of electronic device 500, such as operations associated with display, telephone calls, data communication, camera operation, and recording operations. Processing component 502 may include one or more processors 520 to execute steps. Furthermore, processing component 502 may include one or more module instructions to complete all or part of the interactions described above. For example, processing component 502 may include a multimedia module to facilitate interaction between processing component 502 and other components. This facilitates interaction between multimedia component 508 and processing component 502.

[0065] Memory 504 is configured to store various types of data to support the operation of electronic device 500. Examples of this data include instructions for any application or method operating on electronic device 500, contact data, phonebook data, messages, pictures, videos, etc. Memory 504 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0066] Power supply component 506 provides power to various components of electronic device 500. Power supply component 506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to electronic device 500.

[0067] Multimedia component 508 includes a screen that provides an output interface between electronic device 500 and user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors may sense not only the boundaries of touch or swipe actions but also the duration and pressure associated with the touch or swipe operation. In some embodiments, multimedia component 508 includes a front-facing camera and / or a rear-facing camera. When electronic device 500 is in an operating mode, such as a shooting mode or video mode, the front-facing camera and / or rear-facing camera may receive external multimedia data. Each front-facing camera and rear-facing camera may be a fixed optical lens system or have focal length and optical zoom capabilities.

[0068] Audio component 510 is configured to output and / or input audio signals. For example, audio component 510 includes a microphone (MIC) configured to receive external audio signals when electronic device 500 is in an operating mode, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 504 or transmitted via communication component 516. In some embodiments, audio component 510 also includes a speaker for outputting audio signals.

[0069] I / O interface 512 provides an interface between processing component 502 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to, home buttons, volume buttons, power buttons, and lock buttons.

[0070] Sensor assembly 514 includes one or more sensors for providing state assessments of various aspects of electronic device 500. For example, sensor assembly 514 may detect the on / off state of electronic device 500, the relative positioning of components such as the display and keypad of electronic device 500, changes in position of electronic device 500 or one of its components, the presence or absence of user contact with electronic device 500, orientation or acceleration / deceleration of electronic device 500, and temperature changes of electronic device 500. Sensor assembly 514 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. Sensor assembly 514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, sensor assembly 514 may also include an accelerometer, gyroscope, magnetometer, pressure sensor, or temperature sensor.

[0071] Communication component 516 is configured to facilitate wired or wireless communication between electronic device 500 and other devices. Electronic device 500 can access wireless networks based on communication standards, such as WiFi, 2G, or 3G, or combinations thereof. In one exemplary embodiment, communication component 516 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, communication component 516 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0072] In an exemplary embodiment, the electronic device 500 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the methods described above.

[0073] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory including instructions that can be executed by a processor of an electronic device to perform the above-described method. For example, the non-transitory computer-readable storage medium may be a ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0074] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A disaster early warning method for overseas crude oil pipeline systems, characterized in that, include: Identify the target components and target attributes of the crude oil pipeline system; Construct an equivalent sand table model of the crude oil pipeline system based on the target components and target attributes of the crude oil pipeline system; Rainfall simulation experiments were conducted based on an equivalent sand table model, and experimental data from the equivalent sand table model were obtained. The disaster resistance capability of crude oil pipeline systems is assessed based on experimental data, and early warning information is issued when the disaster resistance capability assessment result of crude oil pipeline systems is low.

2. The disaster early warning method for overseas crude oil pipeline systems according to claim 1, characterized in that: The target components of the crude oil pipeline system include: Obtain the initial components of the crude oil pipeline and then filter them to obtain the target components.

3. The disaster early warning method for overseas crude oil pipeline systems according to claim 1, characterized in that: The target attributes include pipeline data and environmental data.

4. The disaster early warning method for overseas crude oil pipeline systems according to claim 3, characterized in that: The pipeline data includes the pipeline's material, thickness, coating condition, historical corrosion records, communication equipment status, and pipeline route data. The environmental data includes the climate characteristics of the pipeline's geographical location, the geological structure around the pipeline, soil type, vegetation cover, and drainage system design data along the pipeline route.

5. The disaster early warning method for overseas crude oil pipeline systems according to claim 1, characterized in that: The target components include high-value equipment, high failure rate equipment, difficult-to-maintain equipment, and production-critical equipment.

6. The disaster early warning method for overseas crude oil pipeline systems according to claim 1, characterized in that: The rainfall simulation experiment based on the equivalent sand table model includes: A sprinkler system and a water flow system were constructed, and at least one rainfall application point was selected on the equivalent sand table model to conduct a rainfall simulation experiment.

7. The disaster early warning method for overseas crude oil pipeline systems according to claim 1, characterized in that: The rainfall simulation test includes one or more of the following: rainfall simulation only, foundation settlement simulation, flood erosion simulation, and debris flow simulation.

8. The disaster early warning method for overseas crude oil pipeline systems according to claim 1, characterized in that: The test data includes the ambient water depth of the target component, the deformation of the target component, and the stress change.

9. The disaster early warning method for overseas crude oil pipeline systems according to claim 1, characterized in that: The method further includes determining the acceptable range of the crude oil pipeline system, which includes acquiring the operating data of the crude oil pipeline system and performing simulations under the constraints of the operating data to determine the acceptable range of the crude oil pipeline system.

10. The disaster early warning method for overseas crude oil pipeline systems according to claim 9, characterized in that: The assessment of the disaster resistance capability of crude oil pipeline systems based on experimental data includes: The test data is assessed to determine whether it falls within the acceptable range for the crude oil pipeline system. If the test data exceeds the acceptable range for the crude oil pipeline system, the system is deemed to have low disaster resistance.

11. A disaster early warning system for overseas crude oil pipeline systems, characterized in that: include: The acquisition module is configured to determine target components and target attributes of a crude oil pipeline system, the target attributes including pipeline data and environmental data. The modeling module is configured to construct an equivalent sand table model of the crude oil pipeline system based on the target components and target attributes of the crude oil pipeline system. The test module is configured to conduct rainfall simulation experiments based on an equivalent sand table model and acquire test data from the equivalent sand table model. The early warning module is configured to assess the disaster resistance capability of the crude oil pipeline system based on test data, and issue an early warning message when the disaster resistance capability assessment result of the crude oil pipeline system is low.

12. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory storing at least one computer program, which is loaded and executed by the processor to enable the electronic device to implement the early warning method as described in any one of claims 1 to 10.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one computer program, which is loaded and executed by a processor to enable the electronic device to implement the early warning method as described in any one of claims 1 to 10.

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