Pipeline risk monitoring method, system and storage medium based on digital twin

Abstract

The application discloses a pipeline risk monitoring method and system based on a digital twin and a storage medium, and comprises the following steps: acquiring multi-source attribute data of a target pipe section at a current time and inputting the multi-source attribute data into a preset risk evaluation formula group to obtain a current comprehensive risk value of the target pipe section; updating an original digital twin model corresponding to the target pipe section by using the multi-source attribute data at the current time to obtain a target digital twin model at the current time; and when the current comprehensive risk value exceeds a preset comprehensive risk value, marking and mapping a risk existing in the target pipe section at the current time on the target digital twin model to realize risk monitoring of the target pipe section. The application greatly shortens the cycle of pipeline risk monitoring, can realize real-time evaluation and monitoring of pipeline risks by using a digital twin model, and improves the accuracy of risk monitoring.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of risk monitoring, and in particular to a pipeline risk monitoring method and system based on digital twins and a storage medium. BACKGROUND

[0002] Digital twin is a simulation process integrating multi-discipline, multi-physical quantity, multi-scale and multi-probability, which fully utilizes physical models, sensor updates and operation history data to complete mapping in a virtual space, thereby reflecting the whole life cycle process of the corresponding entity equipment. Digital twin is a concept beyond reality, which can be regarded as a digital mapping system of one or more important and interdependent equipment systems, and digital twin technology can also be applied to the supervision and regulation of oil and gas pipeline operation.

[0003] For oil and gas resources, pipeline transportation has the characteristics of large transportation capacity, continuity, rapidness, high efficiency, economy, safety, stability, reliability and small land occupation, etc., and has a high comprehensive cost performance, far surpassing other transportation methods. With the improvement of pipeline steel grade, the expansion of pipeline diameter, the increase of operating pressure and the increase of pipeline mileage, pipelines gradually interweave into a network, and the transportation capacity and deployment capacity are greatly improved.

[0004] However, there are many limitations in the current risk evaluation and monitoring of pipelines. For example, the calculation is large, which needs to rely on strong logical thinking ability or use computer and other auxiliary equipment. A large amount of effort is needed to determine various parameters involved in system calculation, such as device failure probability and deviation factor, for example, collecting device process operating conditions and equipment account, quantitatively calculating devices and storage and transportation system equipment, determining dangerous materials, process parameters (temperature, pressure, etc.), equipment and facilities and specifications (main equipment, process pipelines, flanges, valves, instrument connections, etc.), material inventory of each leakage unit, etc. The accuracy and adaptability of various data are difficult to determine.

[0005] Therefore, there is an urgent need to provide a technical solution to solve the above technical problems. SUMMARY

[0006] To solve the above technical problems, the present application provides a pipeline risk monitoring method, system and storage medium based on digital twins.

[0007] The technical scheme of a pipeline risk monitoring method based on digital twins according to the present application is as follows:

[0008] Obtain the multi-source attribute data of the target pipe section at the current time and input it into the preset risk evaluation formula group to obtain the current comprehensive risk value of the target pipe section;

[0009] The original digital twin model corresponding to the target pipe section is updated by using the multi-source attribute data of the current moment, and a target digital twin model of the current moment is obtained.

[0010] When the current comprehensive risk value exceeds the preset comprehensive risk value, the risk existing in the target pipe section at the current moment is marked and mapped on the target digital twin model to realize risk monitoring of the target pipe section.

[0011] The pipe risk monitoring method based on the digital twin has the following advantages:

[0012] The method greatly shortens the cycle of pipe risk monitoring, can use the digital twin model to realize real-time evaluation and monitoring of pipe risk, and improves the accuracy of risk monitoring.

[0013] On the basis of the above-mentioned scheme, the pipe risk monitoring method based on the digital twin can be further improved as follows.

[0014] Further, it further comprises:

[0015] Based on the multi-source attribute data of the target pipe section in the historical time period, an original digital twin model corresponding to the target pipe section is constructed.

[0016] Further, the multi-source attribute data of the historical time period comprises pipeline operation and maintenance data in the historical time period, pipeline basic attribute data at any moment in the historical time period, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data and production operation data.

[0017] The multi-source attribute data of the current moment comprises pipeline basic attribute data of the current moment, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data and production operation data.

[0018] Further, the pipeline basic attribute data of the current moment comprises pipeline wall thickness S K of the current moment, pipeline diameter R K of the current moment and pipeline service life t K of the current moment, the oil and gas medium physical property data of the current moment comprises oil and gas transmission speed V J of the current moment, oil and gas pressure P J of the current moment, oil and gas transmission temperature T J of the current moment and water content M J of the current moment, the hydraulic data of the current moment comprises water pressure P S of the current moment and water temperature T SThe thermal data of the current moment includes an external environment temperature T of the pipeline at the current moment H The production operation data of the current moment includes operation data T of the pipeline conveying oil and gas at the current moment s The surrounding environment data of the current moment includes the number of personnel intrusions X of the surrounding environment at the current moment H And the number of tool carrying stations P at the current moment H .

[0019] Further, the preset risk evaluation formula group is:

[0020]

[0021] Wherein, V M is the value closest to V J in the safe oil and gas transmission speed range, V M1 is the upper limit value of the safe oil and gas transmission speed range, V M2 is the lower limit value of the safe oil and gas transmission speed range, P M is the value closest to P J in the safe oil and gas pressure range, P M1 is the upper limit value of the safe oil and gas pressure range, P M2 is the lower limit value of the safe oil and gas pressure range, T M is the value closest to T J in the safe oil and gas transmission temperature range, T M1 is the upper limit value of the safe oil and gas transmission temperature range, T M2 is the lower limit value of the safe oil and gas transmission temperature range, M M is the value closest to M J in the safe water content range, M M1 is the upper limit value of the safe water content range, M M2 is the lower limit value of the safe water content range, t m is the maximum service life of the pipeline, k is the number of branches corresponding to the target pipe section, F4 is the current comprehensive risk value, F1 is the probability value of the accident, F2 is the casualty value when the risk occurs, and F3 is the consequence coefficient of the accident on the pipeline.

[0022] Further, the preset comprehensive risk value includes a first preset comprehensive risk value and a second preset comprehensive risk value, the first preset comprehensive risk value is less than the second preset comprehensive risk value; when the current comprehensive risk value exceeds the preset comprehensive risk value, the step of marking and mapping the risk existing in the target pipe section at the current moment on the target digital twin model includes:

[0023] When the current comprehensive risk value only exceeds the first preset risk value, the risk existing in the target pipe section at the current time is marked and mapped on the target digital twin model by a preset medium risk mapping mode corresponding to the target digital twin model.

[0024] When the current comprehensive risk value exceeds the second preset risk value, the risk existing in the target pipe section at the current time is marked and mapped on the target digital twin model by a preset high risk mapping mode corresponding to the target digital twin model.

[0025] Further, the risk existing in the target pipe section at the current time is at least one of a transported oil and gas medium risk, a hydraulic risk, a thermal risk, a surrounding environment risk and a production operation risk corresponding to the current comprehensive risk value.

[0026] The technical scheme of the pipeline risk monitoring system based on the digital twin body provided by the application is as follows:

[0027] The system comprises a processing module, an updating module and a monitoring module.

[0028] The processing module is configured to obtain multi-source attribute data of a target pipe section at a current time and input the data into a preset risk evaluation formula group to obtain a current comprehensive risk value of the target pipe section.

[0029] The updating module is configured to update an original digital twin model corresponding to the target pipe section by using the multi-source attribute data at the current time to obtain a target digital twin model at the current time.

[0030] The monitoring module is configured to mark and map the risk existing in the target pipe section at the current time on the target digital twin model when the current comprehensive risk value exceeds a preset comprehensive risk value, so as to realize risk monitoring of the target pipe section.

[0031] The pipeline risk monitoring system based on the digital twin body provided by the application has the following beneficial effects:

[0032] The system provided by the application greatly shortens the cycle of pipeline risk monitoring, can use a digital twin model to realize real-time evaluation and monitoring of pipeline risk, and improves the accuracy of risk monitoring.

[0033] On the basis of the above-mentioned scheme, the pipeline risk monitoring system based on the digital twin body provided by the application can be further improved as follows.

[0034] Further, the system further comprises a construction module.

[0035] Based on the multi-source attribute data of the target pipe section in the historical period, an original digital twin model corresponding to the target pipe section is constructed.

[0036] The technical scheme of the storage medium of the present application is as follows:

[0037] The storage medium stores instructions, which, when read by a computer, cause the computer to perform the steps of a pipeline risk monitoring method based on a digital twin. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 A flowchart of an embodiment of a pipeline risk monitoring method based on a digital twin provided by the present application is shown.

[0039] Figure 2 A structural diagram of an embodiment of a pipeline risk monitoring system based on a digital twin provided by the present application is shown. DETAILED DESCRIPTION

[0040] Figure 1 A flowchart of an embodiment of a pipeline risk monitoring method based on a digital twin provided by the present application is shown. As shown in Figure 1 , the steps include:

[0041] Step 110: Obtain the multi-source attribute data of the target pipe section at the current time and input it into the preset risk evaluation formula group to obtain the current comprehensive risk value of the target pipe section.

[0042] Wherein, ① the target pipe section is a certain pipe section in an arbitrary oil and gas pipeline that needs to be monitored for risk. ② The multi-source attribute data at the current time includes pipeline basic attribute data at the current time, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data, and production operation data. ③ The pipeline basic attribute data at the current time includes the pipeline wall thickness S K at the current time, the pipeline diameter R K at the current time, and the pipeline service life t K at the current time. ④ The oil and gas medium physical property data at the current time includes the oil and gas transmission speed V J at the current time, the oil and gas pressure P J at the current time, the oil and gas transmission temperature T J at the current time, and the water content M J at the current time. ⑤ The hydraulic data at the current time includes the water pressure P S at the current time and the water temperature T S at the current time. ⑥ The thermal data at the current time includes the external environment temperature T H of the pipeline at the current time. ⑦ The production operation data at the current time includes the pipeline oil and gas transportation operation data Ts ⑧ The surrounding environment data at the current moment includes: the number of people intruding into the surrounding environment at the current moment X H And the number of portable tools P at the current moment H ⑨ The preset risk formula set consists of multiple pre-defined formulas used for assessing pipeline accident risks. Specifically, the preset risk assessment formula set is as follows:

[0043]

[0044] Among them, V M The closest to V in the safe oil and gas transmission speed range J The value of V M1 V is the upper limit of the safe oil and gas transmission speed range. M2 P is the lower limit of the safe oil and gas transmission speed range. M The closest to P in the safe oil and gas pressure range J The value of P M1 P is the upper limit of the safe oil and gas pressure range. M2 T is the lower limit of the safe oil and gas pressure range. M The closest to T in the safe oil and gas transmission temperature range J The value of T M1 T represents the upper limit of the safe oil and gas transmission temperature range. M2 M is the lower limit of the safe oil and gas transmission temperature range. M The closest to M in the safe moisture content range J The value of M M1 M represents the upper limit of the safe moisture content range. M2 t is the lower limit of the safe moisture content range. m The maximum service life of the pipeline is given by , k is the number of branches corresponding to the target pipeline segment, and F4 is the current comprehensive risk value.

[0045] It should be noted that, ① due to V M The closest to V in the safe oil and gas transmission speed range J The value of V J When within the safe oil and gas transmission speed range, It is 0. Because P M The closest to V in the safe oil and gas pressure range J The value of P J When within the safe oil and gas pressure range, It is 0. Because T M The closest to T in the safe oil and gas transmission temperature range J The value of T J When within the safe oil and gas transmission temperature range, It is 0. Because M M The closest to M in the safe moisture content rangeJ the value of M J is in the safe water content range, is 0. 2. When the target pipe section is on the main line, if there are n branch lines on the main line, k takes n; if the target pipe section is on the branch line, k takes 1.

[0046] Step 120: updating the original digital twin model corresponding to the target pipe section by using the multi-source attribute data of the current moment, to obtain the target digital twin model of the current moment.

[0047] Wherein, 1. The original digital twin model is a digital twin model of the target pipe section constructed according to the multi-source attribute data of the historical time period. 2. The target digital twin model is a digital twin model of the target pipe section at the current moment.

[0048] It should be noted that the specific process of updating the original digital twin model corresponding to the target pipe section by using the multi-source attribute data of the current moment is prior art, which will not be described here.

[0049] Step 130: when the current comprehensive risk value exceeds the preset comprehensive risk value, marking and mapping the risk existing in the target pipe section at the current moment on the target digital twin model to realize the risk monitoring of the target pipe section.

[0050] Wherein, the preset comprehensive risk value includes: the first preset comprehensive risk value and the second preset comprehensive risk value, and the first preset comprehensive risk value is less than the second preset comprehensive risk value.

[0051] It should be noted that the first preset comprehensive risk value and the second preset comprehensive risk value can be set according to actual needs, which will not be limited here.

[0052] Specifically, step 130 includes:

[0053] When the current comprehensive risk value only exceeds the first preset risk value, the risk existing in the target pipe section at the current moment is marked and mapped on the target digital twin model by using the preset medium risk mapping mode corresponding to the target digital twin model.

[0054] Wherein, 1. The first preset risk value corresponds to the preset medium risk mapping mode. 2. The preset medium risk mapping mode includes: mapping the risk existing in the target pipe section in a certain specific way in the target digital twin model corresponding to the target pipe section. For example, when the external environment temperature of the target pipe section is too high, resulting in that the current comprehensive risk value only exceeds the first preset risk value, the display color of the target pipe section can be yellow in the target digital twin model and mapped.

[0055] When the current comprehensive risk value exceeds the second preset risk value, the risk existing in the target pipe section at the current time is marked and mapped on the target digital twin model by a preset high-risk mapping mode corresponding to the target digital twin model.

[0056] Wherein, ① the second preset risk value corresponds to a preset high-risk mapping mode. ② The preset high-risk mapping mode includes mapping the risk existing in the target pipe section in a certain specific way in the target digital twin model corresponding to the target pipe section. For example, when the oil and gas transmission speed of the target pipe section is too fast, resulting in that the current comprehensive risk value only exceeds the first preset risk value, the display color of the target pipe section in the target digital twin model can be changed to red and mapped.

[0057] It should be noted that in the digital twin model, different mapping modes are adopted for different preset risk values, which are not limited to the above-mentioned modes, but can also be any other mapping mode, which is not limited herein.

[0058] More preferably, it further comprises:

[0059] Based on the multi-source attribute data of the target pipe section in the historical time period, an original digital twin model corresponding to the target pipe section is constructed.

[0060] Wherein, the multi-source attribute data of the historical time period includes pipeline operation and maintenance data in the historical time period, pipeline basic attribute data at any time in the historical time period, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data and production operation data.

[0061] It should be noted that ① the pipeline operation and maintenance data includes pipeline monitoring data, pipeline detection data, pipeline repair data and pipeline maintenance data. ② According to the multi-source attribute data of the target pipe section in the historical time period, the original digital twin model corresponding to the target pipe section is constructed, which needs to abstract static constant data and dynamic variable data from the multi-source attribute data in the historical time period, and construct the corresponding digital twin model according to the static constant data and the dynamic variable data. The specific process is prior art, which will not be described in detail here.

[0062] More preferably, the risk existing in the target pipe section at the current time is at least one of the oil and gas medium risk, the hydraulic risk, the thermal risk, the surrounding environment risk and the production operation risk corresponding to the current comprehensive risk value.

[0063] It should be noted that when the target pipe section exists one kind of risk, a corresponding way can be used for mapping in the digital twin model. When the target pipe section exists multiple risks, different ways can be used for mapping in the digital twin model.

[0064] The technical scheme of the embodiment greatly shortens the pipeline risk monitoring period, can realize real-time evaluation and monitoring of pipeline risks by using a digital twin model, and improves the accuracy of risk monitoring.

[0065] Figure 2 An embodiment of a pipeline risk monitoring system based on a digital twin provided by the application is shown in a structural schematic diagram. As shown in the figure, Figure 2 The system 200 includes a processing module 210, an updating module 220, and a monitoring module 230.

[0066] The processing module 210 is configured to obtain multi-source attribute data of a target pipe section at a current time and input the data to a preset risk evaluation formula group to obtain a current comprehensive risk value of the target pipe section.

[0067] The updating module 220 is configured to update an original digital twin model corresponding to the target pipe section by using the multi-source attribute data at the current time to obtain a target digital twin model at the current time.

[0068] The monitoring module 230 is configured to, when the current comprehensive risk value exceeds a preset comprehensive risk value, mark and map a risk existing in the target pipe section at the current time on the target digital twin model to realize risk monitoring of the target pipe section.

[0069] Preferably, the system further includes a construction module.

[0070] The construction module is configured to construct an original digital twin model corresponding to the target pipe section based on multi-source attribute data of the target pipe section in a historical time period.

[0071] The technical scheme of the embodiment greatly shortens the pipeline risk monitoring period, can realize real-time evaluation and monitoring of pipeline risks by using a digital twin model, and improves the accuracy of risk monitoring.

[0072] Preferably, the multi-source attribute data in the historical time period includes pipeline operation and maintenance data in the historical time period, pipeline basic attribute data at any time in the historical time period, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data, and production operation data.

[0073] The multi-source attribute data at the current time includes pipeline basic attribute data at the current time, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data, and production operation data.

[0074] Preferably, the pipeline basic attribute data at the current time includes a pipeline wall thickness S K at the current time, and a pipeline diameter R Kand the pipeline's service life t at the current moment. K The physical property data of the transported oil and gas medium at the current moment includes: the oil and gas transport speed V at the current moment. J The current oil and gas pressure P J The current oil and gas transmission temperature T J and the water content M at the current moment J The hydraulic data at the current moment includes: the water pressure P at the current moment. S and the water temperature T at the current moment S The thermal data at the current moment includes: the current ambient temperature T of the pipe. H The current production operation data includes: the current pipeline oil and gas transportation operation data T. s The surrounding environment data at the current moment includes: the number of people intruding into the surrounding environment at the current moment X H and the number of portable tools P at the current moment H .

[0075] Preferably, the preset risk assessment formula set is as follows:

[0076]

[0077] Among them, V M The closest to V in the safe oil and gas transmission speed range J The value of V M1 V is the upper limit of the safe oil and gas transmission speed range. M2 P is the lower limit of the safe oil and gas transmission speed range. M The closest to P in the safe oil and gas pressure range J The value of P M1 P is the upper limit of the safe oil and gas pressure range. M2 T is the lower limit of the safe oil and gas pressure range. M The closest to T in the safe oil and gas transmission temperature range J The value of T M1 T represents the upper limit of the safe oil and gas transmission temperature range. M2 M is the lower limit of the safe oil and gas transmission temperature range. M The closest to M in the safe moisture content range J The value of M M1 M represents the upper limit of the safe moisture content range. M2 t is the lower limit of the safe moisture content range. m The maximum service life of the pipeline is given by k, the number of branches corresponding to the target pipeline segment is given by k, and the current comprehensive risk value is given by F1.

[0078] Preferably, the preset comprehensive risk value comprises a first preset comprehensive risk value and a second preset comprehensive risk value, the first preset comprehensive risk value is less than the second preset comprehensive risk value; the monitoring module 230 is specifically used for:

[0079] When the current comprehensive risk value only exceeds the first preset risk value, the risk existing in the target pipe section at the current moment is marked and mapped on the target digital twin model by a preset medium risk mapping mode corresponding to the target digital twin model;

[0080] When the current comprehensive risk value exceeds the second preset risk value, the risk existing in the target pipe section at the current moment is marked and mapped on the target digital twin model by a preset high risk mapping mode corresponding to the target digital twin model.

[0081] Preferably, the risk existing in the target pipe section at the current moment is at least one of a current comprehensive risk value corresponding to a transported oil and gas medium risk, a hydraulic risk, a thermal risk, a surrounding environment risk and a production operation risk.

[0082] The steps of implementing the functions of the parameters and modules in the above embodiment of the pipeline risk monitoring system 200 based on a digital twin can refer to the parameters and steps in the above embodiment of the pipeline risk monitoring method based on a digital twin, and will not be repeated here.

[0083] The storage medium provided in the embodiment of the application comprises instructions stored in the storage medium, and when the computer reads the instructions, the computer executes the steps of the pipeline risk monitoring method based on a digital twin. For details, refer to the parameters and steps in the above embodiment of the pipeline risk monitoring method based on a digital twin, and will not be repeated here.

[0084] The computer storage medium is, for example, a USB flash disk, a mobile hard disk, etc.

[0085] Those skilled in the art know that the application can be implemented as a method, a system and a storage medium.

[0086] Therefore, the present application can be embodied in the form of a hardware completely, a software completely (including firmware, resident software, microcode, etc.), or a combination of hardware and software, which can be referred to as a "circuit", "module" or "system" hereinafter. Furthermore, in some embodiments, the present application can also be embodied in the form of a computer program product stored in one or more computer readable storage medium (media) of the present application that contains computer readable program codes. Any combination of one or more computer readable medium can be employed. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present document, the computer readable storage medium can be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device. Although the present application has been shown and described with respect to the embodiments thereof, it should be understood by the skilled in the art that the foregoing and various other changes, substitutions, and alterations can be made hereto without departing from the scope of the present application.

Claims

1. A method for pipeline risk monitoring based on digital twin, characterized in that, The method comprises the following steps: acquiring multi-source attribute data of a target pipe section at a current time and inputting the multi-source attribute data into a preset risk evaluation formula group to obtain a current comprehensive risk value of the target pipe section; updating an original digital twin model corresponding to the target pipe section by using the multi-source attribute data at the current time to obtain a target digital twin model at the current time; when the current comprehensive risk value exceeds a preset comprehensive risk value, marking and mapping a risk existing in the target pipe section at the current time on the target digital twin model to realize risk monitoring of the target pipe section; The method further comprises the following steps: constructing an original digital twin model corresponding to the target pipe section based on multi-source attribute data of the target pipe section in a historical time period; the multi-source attribute data in the historical time period comprises pipeline operation and maintenance data in the historical time period, pipeline basic attribute data at any time in the historical time period, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data and production operation data; the multi-source attribute data at the current time comprises pipeline basic attribute data at the current time, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data and production operation data; The pipeline basic attribute data of the current time comprises: a pipeline wall thickness of the current time , a pipeline diameter of the current time , and a pipeline service life of the current time The oil and gas medium physical property data of the current time comprises: an oil and gas transmission speed of the current time , an oil and gas pressure of the current time , an oil and gas transmission temperature of the current time , and a water content of the current time The hydraulic data of the current time comprises: a water pressure of the current time and a water temperature of the current time The thermal data of the current time comprises: an external environment temperature of the pipeline of the current time The production operation data of the current time comprises: operation data of the pipeline conveying oil and gas of the current time The surrounding environment data of the current time comprises: the number of personnel intrusion of the surrounding environment of the current time and the number of carrying tool stations of the current time ; the preset risk evaluation formula group is as follows: ； wherein, is a value closest to , is an upper limit value of the safe oil and gas transmission speed range, is a lower limit value of the safe oil and gas transmission speed range, is a value closest to , is an upper limit value of the safe oil and gas pressure range, is a lower limit value of the safe oil and gas pressure range, is a value closest to , is an upper limit value of the safe oil and gas transmission temperature range, is a lower limit value of the safe oil and gas transmission temperature range, is a value closest to , is an upper limit value of the safe water content range, is a lower limit value of the safe water content range, is a maximum service life of the pipeline, k is a number of branch lines corresponding to the target pipe section, is the current comprehensive risk value.

2. The digital twin based pipeline risk monitoring method of claim 1, wherein, the preset comprehensive risk value comprises a first preset comprehensive risk value and a second preset comprehensive risk value, the first preset comprehensive risk value is smaller than the second preset comprehensive risk value; when the current comprehensive risk value exceeds the preset comprehensive risk value, the step of marking and mapping the risk existing in the target pipe section at the current time on the target digital twin model comprises the following steps: when the current comprehensive risk value only exceeds the first preset comprehensive risk value and does not exceed the second preset comprehensive risk value, marking and mapping the risk existing in the target pipe section at the current time on the target digital twin model by using a preset medium risk mapping mode corresponding to the target digital twin model; when the current comprehensive risk value exceeds the second preset comprehensive risk value, marking and mapping the risk existing in the target pipe section at the current time on the target digital twin model by using a preset high risk mapping mode corresponding to the target digital twin model.

3. The digital twin-based pipeline risk monitoring method of claim 1 or 2, wherein, the risk existing in the target pipe section at the current time is at least one of oil and gas medium risk, hydraulic risk, thermal risk, surrounding environment risk and production operation risk corresponding to the current comprehensive risk value.

4. A digital twin based pipeline risk monitoring system, characterized in that, The method comprises the following steps: a processing module, an updating module and a monitoring module; the processing module is used for acquiring multi-source attribute data of a target pipe section at a current time and inputting the multi-source attribute data into a preset risk evaluation formula group to obtain a current comprehensive risk value of the target pipe section; the updating module is used for updating an original digital twin model corresponding to the target pipe section by using the multi-source attribute data at the current time to obtain a target digital twin model at the current time; The monitoring module is configured to: when the current comprehensive risk value exceeds a preset comprehensive risk value, mark and map a risk existing at the target time instant of the target pipe section on the target digital twin model, so as to achieve risk monitoring of the target pipe section. Further comprising a construction module, wherein the construction module is configured to: construct an original digital twin model corresponding to the target pipe section based on multi-source attribute data of the target pipe section in a historical time period; the multi-source attribute data in the historical time period comprises pipeline operation and maintenance data in the historical time period, pipeline basic attribute data at any time instant in the historical time period, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data and production operation data; the multi-source attribute data at the current time instant comprises pipeline basic attribute data at the current time instant, oil and gas medium physical property data, hydraulic data, thermal data, surrounding environment data and production operation data; The pipeline basic attribute data of the current time comprises: a pipeline wall thickness of the current time , a pipeline diameter of the current time and a pipeline service life of the current time The oil and gas medium physical property data of the current time comprises: an oil and gas transmission speed of the current time , an oil and gas pressure of the current time , an oil and gas transmission temperature of the current time and a water content of the current time The hydraulic data of the current time comprises: a water pressure of the current time and a water temperature of the current time The thermal data of the current time comprises: an external environment temperature of the pipeline of the current time The production operation data of the current time comprises: operation data of the pipeline conveying oil and gas of the current time The surrounding environment data of the current time comprises: a number of personnel intrusion of the surrounding environment of the current time and a number of carrying tool stations of the current time ; the preset risk evaluation formula group is: ； wherein, is a value closest to , is an upper limit value of the safe oil and gas transmission speed range, is a lower limit value of the safe oil and gas transmission speed range, is a value closest to , is an upper limit value of the safe oil and gas pressure range, is a lower limit value of the safe oil and gas pressure range, is a value closest to , is an upper limit value of the safe oil and gas transmission temperature range, is a lower limit value of the safe oil and gas transmission temperature range, is a value closest to , is an upper limit value of the safe water content range, is a lower limit value of the safe water content range, is a maximum service life of the pipeline, k is a number of branch lines corresponding to the target pipe section, is the current comprehensive risk value.

5. A storage medium, characterized by the storage medium has instructions stored therein, and when the computer reads the instructions, the computer executes the pipeline risk monitoring method based on the digital twin body according to any one of claims 1 to 3.

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