Storage device, oil and gas pipeline monitoring and early warning method, device and equipment

Abstract

The present invention discloses a storage device, an oil and gas pipeline monitoring and early warning method, a device and equipment, wherein the method comprises the following steps: acquiring historical monitoring data of the oil and gas pipeline; dividing the monitoring data into static data and dynamic data; cleaning, aligning and fusing the monitoring data to generate a data set with a unified data format; using pipeline safety data in the monitoring data as a dependent variable and other data as independent variables for model training to generate an accident prediction model for predicting pipeline safety accidents and / or potential safety hazards; acquiring dynamic data of the data source of the monitored object in real time, and generating input data in the same data format as the data set; using the input data as input, generating monitoring and early warning results of the monitored object through the accident prediction model; the present invention makes full use of various types of dynamic data and static data to perform real-time online status monitoring and safety early warning, so that the final monitoring and early warning results can be more accurate.

Description

Technical Field

[0001] The present invention relates to the field of oil and gas pipeline safety, and in particular to a storage device, an oil and gas pipeline monitoring and early warning method, device and equipment. Background Art

[0002] In the oil industry, pipeline transportation is the most economical and reasonable, and is the main mode of oil and gas transportation in my country. In the long-term operation of oil and gas pipelines, there is a risk of failure of oil and gas pipelines due to many factors such as third-party construction, corrosion, and natural disasters. Oil and gas pipeline damage accidents may cause huge economic losses and seriously affect the production and life of the people.

[0003] In the prior art, in order to strengthen the safety monitoring of oil and gas pipelines and reduce the probability of oil and gas pipeline damage accidents, drones are often used to conduct periodic inspections of oil and gas pipelines. The working conditions of the oil and gas pipelines are checked through image acquisition to investigate safety accidents and potential safety hazards of the oil and gas pipelines.

[0004] After research, the inventor found that in the prior art, when drones are used to inspect oil and gas pipelines from the outside, many safety accidents and potential safety hazards of oil and gas pipelines cannot be promptly checked, which can easily lead to false detection or missed detection of safety accidents and potential safety hazards of oil and gas pipelines.

[0005] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0006] The purpose of the present invention is to improve the accuracy of monitoring safety accidents and potential safety hazards of oil and gas pipelines.

[0007] The present invention provides an oil and gas pipeline monitoring and early warning method, comprising the steps of:

[0008] S11, obtaining historical monitoring data of oil and gas pipelines; the data sources of the monitoring data include data acquisition and monitoring control SCADA system, optical fiber early warning system, Beidou positioning line inspection system, drone inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system;

[0009] S12, dividing the monitoring data into static data and dynamic data; wherein the static data includes data that will not change during the service of the oil and gas pipeline; and the dynamic data includes data that can change during the operation of the oil and gas pipeline;

[0010] S13, cleaning, aligning and fusing the monitoring data to generate a data set with a unified data format; using pipeline safety data in the monitoring data as a dependent variable and other data as independent variables to perform model training to generate an accident prediction model for predicting pipeline safety accidents;

[0011] S14, acquiring dynamic data of the data source of the monitored object in real time, and generating input data in the same data format as the data set;

[0012] S15. Using the input data as input, a monitoring and early warning result of the monitored object is generated through the accident prediction model.

[0013] In the present invention, the pipeline safety data includes:

[0014] Accident warning data, including normal ranges of preset operating parameters; the preset operating parameters include one of temperature, pressure, flow, amplitude and / or pipe body stress and strain, and any combination thereof.

[0015] In the present invention, the pipeline safety data also includes:

[0016] Accident hazard data include one or any combination of third-party construction damage, occupation, drilling and oil theft damage, insufficient spacing, geological disasters, insufficient burial depth, strong environmental corrosion, poor cathodic protection effect and stray current interference.

[0017] In the present invention, the monitoring and early warning results include accident warnings or accident potentials, accident types and / or accident locations.

[0018] In the present invention, the dynamic data include: pipeline operation parameters, surface excavation construction status, underground engineering construction status, sand dredging and dredging status, drilling and oil and gas theft status, occupation or rolling status, line patrol effect, on-site supervision effect, three piles and one sign effectiveness, corrosion monitoring effect, cathodic protection effect, stray current interference degree, geological disaster protection status and geological disaster monitoring technology effectiveness.

[0019] In the present invention, the static data includes: pipeline design and construction data, pipeline burial depth, additional measures, medium corrosivity, medium corrosivity mitigation measures, pipe body defect degree, pipe cleaning and internal inspection effectiveness, soil corrosivity, atmospheric corrosivity, anti-corrosion layer condition and the geographical environment of the pipeline.

[0020] The present invention also includes:

[0021] The monitoring and early warning results are graphically displayed on a preset display unit.

[0022] In the present invention, the monitoring and early warning results are graphically displayed on a preset display unit, including:

[0023] The whole pipe network information of the monitoring object is graphically displayed based on the GIS system, and the accident warning or the accident potential hazard is marked at the corresponding position of the accident warning or the accident potential hazard.

[0024] In another aspect of the present invention, there is also provided an oil and gas pipeline monitoring and early warning device, comprising:

[0025] A historical data acquisition unit is used to obtain historical monitoring data of oil and gas pipelines; the data sources of the monitoring data include SCADA system, optical fiber early warning system, Beidou positioning line inspection system, drone inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system;

[0026] A monitoring data division unit, used to divide the monitoring data into static data and dynamic data; wherein the static data includes data that will not change during the service of the oil and gas pipeline; and the dynamic data includes data that can change during the operation of the oil and gas pipeline;

[0027] A prediction model generation unit is used to clean, align and fuse the monitoring data to generate a data set with a unified data format; use pipeline safety data in the monitoring data as a dependent variable and other data as independent variables to perform model training to generate an accident prediction model for predicting pipeline safety accidents;

[0028] A real-time data acquisition unit, used to acquire the dynamic data of the data source of the monitored object in real time and generate input data in the same data format as the data set;

[0029] A monitoring result generating unit is used to generate a monitoring and early warning result of the monitored object through the accident prediction model using the input data as input.

[0030] The present invention also includes:

[0031] The display unit is used to graphically display the monitoring and early warning results on a preset display unit.

[0032] In another aspect of the present invention, a memory is provided, comprising a software program, wherein the software program is suitable for a processor to execute the steps of the above-mentioned oil and gas pipeline monitoring and early warning method.

[0033] On the other hand, an embodiment of the present invention further provides an oil and gas pipeline monitoring and early warning device, which includes a computer program stored in a memory, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the methods described in the above aspects and achieves the same technical effects.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] In the present invention, firstly, according to the existing SCADA system, optical fiber early warning system, Beidou positioning line inspection system, unmanned aerial vehicle inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system, a monitoring data acquisition system with multiple data sources is constructed to obtain comprehensive monitoring data related to oil and gas pipeline accidents and potential accidents; then, by cleaning, aligning and fusing the monitoring data, a data set with a unified data format is generated; and then an accident prediction model for predicting pipeline safety accidents and potential safety hazards can be generated; the monitoring data in the present invention includes static data and dynamic data, and by implementing the acquisition of static data, pipeline safety accidents and / or potential safety hazards can be predicted according to the accident prediction model.

[0036] From the above, it can be seen that the monitoring data of the accident prediction model in the present invention is composed of a monitoring data acquisition system based on multiple data sources, so it makes full use of various types of dynamic data and static data to perform real-time online status monitoring and safety warning, so that the final monitoring and warning results can be more accurate; in addition, the accident prediction model in the present invention is generated based on the historical monitoring data of the oil and gas pipeline, so the accident prediction model can be continuously verified and corrected according to the continuous generation of monitoring data, so that the prediction accuracy of the accident prediction model can be continuously improved.

[0037] Since the present invention makes full use of various dynamic data and static data to conduct real-time online status monitoring and safety warning, it breaks the limitations and lags of traditional pipeline management systems, thereby enhancing the timeliness of problem solving. The system displays and compares information of the entire pipeline network or local pipe sections to achieve intuitive and effective visual management of the entire process, creating a digital, intelligent, and integrated pipeline management system to provide strong support for managers' decision-making.

[0038] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, and to make the above and other purposes, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with the accompanying drawings as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a step diagram of the oil and gas pipeline monitoring and early warning method described in the present invention;

[0040] Figure 2 It is a structural schematic diagram of the oil and gas pipeline monitoring and early warning device described in the present invention;

[0041] Figure 3 It is a structural schematic diagram of the oil and gas pipeline monitoring and early warning equipment described in the present invention. DETAILED DESCRIPTION

[0042] The specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific implementation modes.

[0043] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0044] In this document, the terms "first", "second", etc. are used to distinguish two different elements or parts, and are not used to limit a specific position or relative relationship. In other words, in some embodiments, the terms "first", "second", etc. can also be interchangeable.

[0045] Embodiment 1

[0046] In order to improve the accuracy of monitoring safety accidents and potential safety hazards in oil and gas pipelines, Figure 1 As shown, in an embodiment of the present invention, a method for monitoring and early warning of an oil and gas pipeline is provided, comprising the steps of:

[0047] S11, obtaining historical monitoring data of oil and gas pipelines; the data sources of the monitoring data include data acquisition and monitoring control SCADA system, optical fiber early warning system, Beidou positioning line inspection system, drone inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system;

[0048] In an embodiment of the present invention, a variety of equipment used for management, maintenance, assistance and monitoring of oil and gas pipelines (such as SCADA system, fiber optic early warning system, Beidou positioning patrol system, drone inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system, etc.) are used as data sources; and the operating data, pipeline design parameters, pipeline engineering parameters, pipeline operation parameters, and design parameters and operation parameters of various related equipment collected by these data sources are integrated together as historical monitoring data of the oil and gas pipeline.

[0049] S12, dividing the monitoring data into static data and dynamic data; wherein the static data includes data that will not change during the service of the oil and gas pipeline; and the dynamic data includes data that can change during the operation of the oil and gas pipeline;

[0050] After collecting monitoring data from multiple data sources, the embodiment of the present invention also re-divides the monitoring data and sets two types of data: static data and dynamic data; wherein, static data refers to data that will not change during the entire service period of the oil and gas pipeline or over a long period of time, such as pipeline design and construction data, pipeline burial depth, additional measures, medium corrosivity, medium corrosivity mitigation measures, degree of pipe body defects, effectiveness of pipe cleaning and internal inspection, soil corrosivity, atmospheric corrosivity, anti-corrosion layer condition, geographical environment of the pipeline, etc.; the purpose of setting static data in the embodiment of the present invention is to determine from the monitoring data the monitoring data that is related to safety accidents and safety hazards of the oil and gas pipeline, but whose data values ​​are relatively fixed, so there is no need for real-time data collection.

[0051] In addition, the dynamic data in the present invention refers to data that can change during the operation of the oil and gas pipeline; when the working conditions change, such as pipeline operation parameters, surface excavation construction conditions, underground engineering construction conditions, sand excavation and silt removal conditions, drilling and oil and gas theft conditions, occupation or rolling conditions, line patrol effects, on-site supervision effects, three piles and one sign effectiveness, corrosion monitoring effects, cathodic protection effects, stray current interference levels, geological disaster protection conditions and geological disaster monitoring technology effectiveness, if the changes in these monitoring data are abnormal, it often represents the occurrence of safety accidents or the generation of safety hazards. Therefore, the dynamic data itself is not only related to safety accidents and safety hazards, but its changes can also reflect the time and / or location of the occurrence of safety accidents or safety hazards in oil and gas pipelines.

[0052] Regarding the methods of obtaining dynamic data, it can specifically include: obtaining pipeline operation parameters and drilling and oil and gas theft conditions through the SCADA system; obtaining surface excavation construction conditions, underground engineering construction conditions, sand dredging and dredging conditions, and occupation or crushing conditions through the fiber optic early warning system; obtaining surface excavation construction conditions, underground engineering construction conditions, sand dredging and dredging conditions, drilling and oil and gas theft conditions, occupation or crushing conditions, line patrol effects, on-site supervision effects, three piles and one sign effectiveness, and geological disaster protection conditions through the Beidou positioning and line patrol system; obtaining surface excavation construction conditions, sand dredging and dredging conditions, drilling and oil and gas theft conditions, occupation or crushing conditions, geological disaster protection conditions, and effectiveness of geological disaster monitoring technology through the drone inspection system; obtaining surface excavation construction conditions, underground engineering construction conditions, sand dredging and dredging conditions, on-site supervision effects, and effectiveness of geological disaster monitoring technology through the intelligent video monitoring system; obtaining corrosion monitoring effects through the corrosion online monitoring system; obtaining cathode protection effects and the degree of stray current interference through the intelligent cathode protection system; and obtaining effectiveness of geological disaster monitoring technology through the satellite remote sensing monitoring system.

[0053] It should be noted that, in the embodiment of the present invention, the monitoring data also includes historical pipeline safety data (i.e., accident warning data and accident potential hazard data); that is, in the embodiment of the present invention, it is also necessary to record the safety accidents and safety hazards that have occurred as historical data of the monitoring data.

[0054] In practical applications, pipeline safety data may specifically include attribute data such as the name and type of safety accidents and / or safety hazards. Accident warning data and accident hazard data may specifically include:

[0055] The types of accident warning data may include: normal ranges of preset operating parameters; the preset operating parameters include temperature, pressure, flow, amplitude and / or pipe body stress and strain, etc.

[0056] The types of accident hazard data may include: accident hazard data, including third-party construction damage, occupation, drilling and oil theft damage, insufficient spacing, geological disasters, insufficient burial depth, strong environmental corrosion, poor cathodic protection effect and stray current interference, etc.

[0057] The monitoring data in the embodiment of the present invention can be automatically acquired by providing a data interface with each data source, or can be acquired by manual input, which is not specifically limited here.

[0058] S13, cleaning, aligning and fusing the monitoring data to generate a data set with a unified data format; using pipeline safety data in the monitoring data as dependent variables and other data as independent variables to perform model training to generate an accident prediction model for predicting pipeline safety accidents and / or safety hazards;

[0059] Since the functions and working modes of each data source in the embodiment of the present invention are different, the formats of the monitoring data directly obtained from each data source are also different. In order to realize the unified application of the monitoring data, in the embodiment of the present invention, it is first necessary to clean, align and fuse the monitoring data to generate a data set with a unified data format; in actual application, data cleaning can specifically include: correcting garbled data, resetting misplaced data, deleting missing data, deleting abnormal data and deleting redundant data, etc.; data alignment can specifically include establishing a reference system based on the geodetic coordinates of the pipeline, and aligning the detection data transmitted by various special functional systems to a unified reference system; data fusion is used to unify the data format of the cleaned and aligned monitoring data to realize data standardization, and filter the detection data of multiple data sources to obtain a data set of monitoring data that can be used for model training.

[0060] After establishing a data set of monitoring data, the pipeline safety data in the monitoring data can be used as the dependent variable, and other data can be used as independent variables for model training to generate an accident prediction model for predicting pipeline safety accidents and / or potential safety hazards; preferably, as the service time of the oil and gas pipeline increases, each data source will continuously generate new monitoring data as historical data. Therefore, the embodiment of the present invention can also make corresponding corrections and updates to the accident prediction model through self-learning as the historical data is continuously updated, thereby continuously improving the prediction effect of the accident prediction model.

[0061] In an embodiment of the present invention, the weight value of each monitoring data can also be continuously corrected by means of data self-learning. Specifically, the correction of indicator weights is achieved by performing statistical analysis and mining learning based on historical data. The correction of indicator weights is used in the accident prediction model. According to the results of data statistical analysis, the initial weights of the monitoring data are corrected, thereby further improving the prediction accuracy of the accident prediction model.

[0062] It should be noted that, in the embodiment of the present invention, the historical monitoring data of the oil and gas pipeline can be obtained by extensive data collection on a large number of oil and gas pipelines in the industry, or by collecting data on specific oil and gas pipelines (i.e., oil and gas pipelines whose working conditions are highly similar to those of specific monitoring objects).

[0063] S14, acquiring dynamic data of the data source of the monitored object in real time, and generating input data in the same data format as the data set;

[0064] The monitoring object in the embodiment of the present invention is the oil and gas pipeline that is the object of oil and gas pipeline monitoring and early warning; although the accident prediction model in the embodiment of the present invention uses a large amount of static data when it is generated, when it is used, it only needs dynamic data as its input data.

[0065] In practical applications, after obtaining the dynamic data of various data sources belonging to the monitored object, in order to be applicable to the accident prediction model, it is also necessary to unify the dynamic data collected in real time, and unify the data format with the data set in step S13 through cleaning, alignment and fusion.

[0066] S15. Using the input data as input, a monitoring and early warning result of the monitored object is generated through the accident prediction model.

[0067] During daily monitoring and early warning of oil and gas pipelines, the dynamic data obtained in real time is used as the input data of the accident prediction model, and the monitoring and early warning results of the monitored object can be generated in real time through the accident prediction model. Generally speaking, the monitoring and early warning results in the embodiments of the present invention can include the accident type and / or accident location of the accident warning or accident potential, so that when the monitored object is abnormal or there is a safety hazard, early warning information can be generated in real time to prompt the time information and location information of the accident or potential hazard.

[0068] In practical applications, monitoring and early warning results can be not only text information, graphic information and animation information, but also assisted by sound and light information to facilitate monitoring personnel to discover and take measures in a timely manner.

[0069] Furthermore, in order to make the monitoring and early warning results more intuitive, in the embodiment of the present invention, the following steps may also be included:

[0070] S16: Graphically display the monitoring and early warning results on a preset display unit.

[0071] The monitoring and early warning results in the embodiment of the present invention may include alarm prompts of abnormal conditions of various operating parameters, as well as alarm prompts of safety hazards. Through graphical display, the time and location of accidents or hidden dangers can be determined more quickly and clearly, which is conducive to subsequent corresponding analysis and processing.

[0072] In actual applications, the display unit can also use the method of displaying the information of the entire pipeline network, and construct a structural model of the entire monitoring object in a graphical manner based on the GIS system; in this way, with the help of the location information in the GIS system, the accidents or hidden dangers can be marked and labeled at the corresponding positions in the structural model, so that the monitoring personnel can monitor the entire monitoring range at a glance. Specifically: the overall information of the oil and gas pipeline can be displayed on the basis of GIS map data, and its basic map functions may include: layer control, distance measurement, picture saving, marking, translation, attribute parameter viewing, pipe section switching, pipe section safety classification display, early warning signal display and other functions; display methods include: terrain, vector, image and three-dimensional; this module is associated with the single-point display module, and under the global display of pipeline information, when there is a safety warning or a new safety hazard is discovered, it can automatically switch to a single-point display.

[0073] Single-point display refers to the display of information on local oil and gas pipelines. It can be displayed in sections based on the pipe sections divided by safety evaluation. The displayed information can specifically include: static data and dynamic data associated with the pipe section, the operating status of the pipe section, safety conditions, hidden danger inspection and control, etc.

[0074] In an embodiment of the present invention, an information extraction and comparative display model can also be implemented for comparative analysis of data between certain moments or certain time periods; historical data extraction and calling are supported, which can be displayed in the form of a single point display or in the form of a comprehensive display in the form of a line chart or a pie chart.

[0075] In summary, in the embodiment of the present invention, firstly, according to the existing SCADA system, optical fiber early warning system, Beidou positioning line inspection system, drone inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system, a monitoring data acquisition system with multiple data sources is constructed to obtain comprehensive monitoring data related to oil and gas pipeline accidents and potential accidents; then, by cleaning, aligning and fusing the monitoring data, a data set with a unified data format is generated; and then, an accident prediction model for predicting pipeline safety accidents and potential safety hazards can be generated; the monitoring data in the embodiment of the present invention includes static data and dynamic data. By implementing the acquisition of static data, pipeline safety accidents and / or potential safety hazards can be predicted according to the accident prediction model.

[0076] From the above, it can be seen that the monitoring data of the accident prediction model in the embodiment of the present invention is composed of a monitoring data acquisition system based on multiple data sources, so it makes full use of various types of dynamic data and static data to perform real-time online status monitoring and safety warning, so that the final monitoring and warning results can be more accurate; in addition, the accident prediction model in the embodiment of the present invention is generated based on the historical monitoring data of the oil and gas pipeline, so the accident prediction model can be continuously verified and corrected according to the continuous generation of monitoring data, so that the prediction accuracy of the accident prediction model can be continuously improved.

[0077] Since the embodiments of the present invention make full use of various types of dynamic data and static data to perform real-time online status monitoring and safety warning, it breaks the limitations and lags of traditional pipeline management systems, thereby enhancing the timeliness of problem solving. The system displays and compares information of the entire pipeline network or local pipe sections to achieve intuitive and effective visual management of the entire process, creating a digital, intelligent, and integrated pipeline management system, providing strong support for managers' decision-making.

[0078] Embodiment 2

[0079] In another aspect of the embodiment of the present invention, an oil and gas pipeline monitoring and early warning device is also provided. Figure 2 The schematic diagram of the structure of the oil and gas pipeline monitoring and early warning device provided by the embodiment of the present invention is shown. Figure 1 The device corresponding to the oil and gas pipeline monitoring and early warning method described in the corresponding embodiment, that is, implemented by means of a virtual device Figure 1In the corresponding embodiment of the oil and gas pipeline monitoring and early warning method, each virtual module constituting the oil and gas pipeline monitoring and early warning device can be executed by an electronic device, such as a network device, a terminal device, or a server. Specifically, the oil and gas pipeline monitoring and early warning device in the embodiment of the present invention includes:

[0080] The historical data acquisition unit 01 is used to obtain the historical monitoring data of the oil and gas pipeline; the data sources of the monitoring data include the SCADA system, the optical fiber early warning system, the Beidou positioning line inspection system, the drone inspection system, the intelligent video monitoring system, the corrosion online monitoring system, the intelligent cathodic protection system and the satellite remote sensing monitoring system;

[0081] The monitoring data division unit 02 is used to divide the monitoring data into static data and dynamic data; wherein the static data includes data that will not change during the service of the oil and gas pipeline; and the dynamic data includes data that can change during the operation of the oil and gas pipeline.

[0082] The prediction model generation unit 03 is used to clean, align and fuse the monitoring data to generate a data set with a unified data format; use the pipeline safety data in the monitoring data as the dependent variable and other data as the independent variable to perform model training to generate an accident prediction model for predicting pipeline safety accidents and / or safety hazards;

[0083] The real-time data acquisition unit 04 is used to obtain the dynamic data of the data source of the monitored object in real time and generate input data in the same data format as the data set;

[0084] The monitoring result generating unit 05 is used to take the input data as input and generate the monitoring and early warning result of the monitored object through the accident prediction model.

[0085] Preferably, in the embodiment of the present invention, it also includes:

[0086] The display unit (not shown in the figure) is used to graphically display the monitoring and early warning results on a preset display unit.

[0087] Since the working principle and beneficial effects of the oil and gas pipeline monitoring and early warning device in the embodiment of the present invention have been Figure 1 The corresponding oil and gas pipeline monitoring and early warning methods are also recorded and explained, so they can be referenced by each other and will not be repeated here.

[0088] Embodiment 3

[0089] In an embodiment of the present invention, a memory is further provided, wherein the memory includes a software program, and the software program is suitable for the processor to execute Figure 1 The corresponding steps in the oil and gas pipeline monitoring and early warning method.

[0090] The embodiments of the present invention can be implemented by means of a software program, that is, by writing a program for implementing Figure 1 The corresponding software program (and instruction set) for each step in the oil and gas pipeline monitoring and early warning method is stored in a storage device, and the storage device is arranged in a computer device, so that the software program can be called by the processor of the computer device to achieve the purpose of the embodiment of the present invention.

[0091] Embodiment 4

[0092] In an embodiment of the present invention, an oil and gas pipeline monitoring and early warning device is also provided. The memory included in the oil and gas pipeline monitoring and early warning device includes a corresponding computer program product. When the program instructions included in the computer program product are executed by a computer, the computer can execute the oil and gas pipeline monitoring and early warning methods described in the above aspects and achieve the same technical effects.

[0093] Figure 3 FIG. 1 is a schematic diagram of the hardware structure of an oil and gas pipeline monitoring and early warning device as an electronic device according to an embodiment of the present invention. Figure 3 As shown, the device includes one or more processors 610, a bus 630, and a memory 620. Taking one processor 610 as an example, the device may also include: an input device 640, and an output device 650.

[0094] The processor 610, the memory 620, the input device 640 and the output device 650 may be connected via a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0095] The memory 620 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 610 executes various functional applications and data processing of the electronic device by running the non-transitory software programs, instructions, and modules stored in the memory 620, that is, the processing method of the above method embodiment is implemented.

[0096] The memory 620 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data, etc. In addition, the memory 620 may include a high-speed random access memory, and may also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 620 may optionally include a memory remotely arranged relative to the processor 610, and these remote memories may be connected to the processing device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0097] The input device 640 can receive input digital or character information and generate signal input. The output device 650 can include a display device such as a display screen.

[0098] The one or more modules are stored in the memory 620, and when executed by the one or more processors 610, perform:

[0099] S11, obtaining historical monitoring data of oil and gas pipelines; the data sources of the monitoring data include data acquisition and monitoring control SCADA system, optical fiber early warning system, Beidou positioning line inspection system, drone inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system;

[0100] S12, dividing the monitoring data into static data and dynamic data; wherein the static data includes data that will not change during the service of the oil and gas pipeline; and the dynamic data includes data that can change during the operation of the oil and gas pipeline;

[0101] S13, cleaning, aligning and fusing the monitoring data to generate a data set with a unified data format; using pipeline safety data in the monitoring data as dependent variables and other data as independent variables to perform model training to generate an accident prediction model for predicting pipeline safety accidents and / or safety hazards;

[0102] S14, acquiring dynamic data of the data source of the monitored object in real time, and generating input data in the same data format as the data set;

[0103] S15. Using the input data as input, a monitoring and early warning result of the monitored object is generated through the accident prediction model.

[0104] The present invention also includes:

[0105] S16: Graphically display the monitoring and early warning results on a preset display unit.

[0106] The above product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0107] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0108] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0109] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0110] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage device, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage device includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), ReRAM, MRAM, PCM, NAND Flash, NOR Flash, Memristor, disk or optical disk and other media that can store program codes.

[0111] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for monitoring and early warning of oil and gas pipelines, characterized in that: include: S11, obtaining historical monitoring data of oil and gas pipelines; the data sources of the monitoring data include data acquisition and monitoring control SCADA system, optical fiber early warning system, Beidou positioning line inspection system, drone inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system; S12, dividing the monitoring data into static data and dynamic data; wherein, the static data includes data that will not change during the service of the oil and gas pipeline; the dynamic data includes data that can change during the operation of the oil and gas pipeline; the dynamic data includes: pipeline operation parameters, surface excavation construction conditions, underground engineering construction conditions, sand dredging and silt removal conditions, drilling and oil and gas theft conditions, occupation or rolling conditions, line patrol effects, on-site supervision effects, three piles and one sign effectiveness, corrosion monitoring effects, cathodic protection effects, stray current interference level, geological disaster protection conditions and effectiveness of geological disaster monitoring technology; the static data includes: pipeline design and construction data, pipeline burial depth, additional measures, medium corrosivity, medium corrosivity mitigation measures, pipe body defect levels, effectiveness of cleaning and internal inspection, soil corrosivity, atmospheric corrosivity, anti-corrosion layer conditions and the geographical environment in which the pipeline is located; S13, cleaning, aligning and fusing the monitoring data to generate a data set with a unified data format; using pipeline safety data in the monitoring data as dependent variables and other data as independent variables to perform model training to generate an accident prediction model for predicting pipeline safety accidents and / or potential safety hazards; the pipeline safety data includes: accident warning data, including a normal range of preset operating parameters; the preset operating parameters include one of temperature, pressure, flow, amplitude and / or pipe body stress and strain and any combination thereof; S14, acquiring dynamic data of the data source of the monitored object in real time, and generating input data in the same data format as the data set; S15. Using the input data as input, a monitoring and early warning result of the monitored object is generated through the accident prediction model.

2. The oil and gas pipeline monitoring and early warning method according to claim 1 is characterized in that: The pipeline safety data also includes: Accident hazard data include one or any combination of third-party construction damage, occupation, drilling and oil theft damage, insufficient spacing, geological disasters, insufficient burial depth, strong environmental corrosion, poor cathodic protection effect and stray current interference.

3. The oil and gas pipeline monitoring and early warning method according to claim 1 is characterized in that: The monitoring and early warning results include accident warnings or accident potentials, accident types and / or accident locations.

4. The oil and gas pipeline monitoring and early warning method according to any one of claims 1 to 3, characterized in that: Also includes: The monitoring and early warning results are graphically displayed on a preset display unit.

5. The oil and gas pipeline monitoring and early warning method according to claim 4 is characterized in that: The step of graphically displaying the monitoring and early warning results on a preset display unit includes: The whole pipe network information of the monitoring object is graphically displayed based on the GIS system, and the accident warning or the accident potential hazard is marked at the corresponding position of the accident warning or the accident potential hazard.

6. An oil and gas pipeline monitoring and early warning device, characterized in that: include: A historical data acquisition unit is used to obtain historical monitoring data of oil and gas pipelines; the data sources of the monitoring data include SCADA system, optical fiber early warning system, Beidou positioning line inspection system, drone inspection system, intelligent video monitoring system, corrosion online monitoring system, intelligent cathodic protection system and satellite remote sensing monitoring system; A monitoring data division unit is used to divide the monitoring data into static data and dynamic data; wherein, the static data includes data that will not change during the service of the oil and gas pipeline; the dynamic data includes data that can change during the operation of the oil and gas pipeline; the dynamic data includes: pipeline operation parameters, surface excavation construction conditions, underground engineering construction conditions, sand dredging and silt removal conditions, drilling and oil and gas theft conditions, occupation or rolling conditions, line patrol effects, on-site supervision effects, three piles and one sign effectiveness, corrosion monitoring effects, cathodic protection effects, stray current interference levels, geological disaster protection conditions and effectiveness of geological disaster monitoring technology; the static data includes: pipeline design and construction data, pipeline burial depth, additional measures, medium corrosivity, medium corrosivity mitigation measures, pipe body defect levels, effectiveness of cleaning and internal inspection, soil corrosivity, atmospheric corrosivity, anti-corrosion layer conditions and the geographical environment in which the pipeline is located; A prediction model generation unit is used to clean, align and fuse the monitoring data to generate a data set with a unified data format; use pipeline safety data in the monitoring data as a dependent variable and other data as independent variables to perform model training to generate an accident prediction model for predicting pipeline safety accidents and / or potential safety hazards; the pipeline safety data includes: accident warning data, including a normal range of preset operating parameters; the preset operating parameters include one of temperature, pressure, flow, amplitude and / or pipe body stress and strain and any combination thereof; A real-time data acquisition unit, used to acquire the dynamic data of the data source of the monitored object in real time and generate input data in the same data format as the data set; A monitoring result generating unit is used to generate a monitoring and early warning result of the monitored object through the accident prediction model using the input data as input.

7. The oil and gas pipeline monitoring and early warning device according to claim 6 is characterized in that: Also includes: The display unit is used to graphically display the monitoring and early warning results on a preset display unit.

8. A memory, characterized in that: It comprises a software program, wherein the software program is suitable for a processor to execute the steps of the oil and gas pipeline monitoring and early warning method as claimed in any one of claims 1 to 5.

9. An oil and gas pipeline monitoring and early warning device, characterized in that: comprising a bus, a processor and a memory as claimed in claim 8; The bus is used to connect the memory and the processor; The processor is configured to execute an instruction set in the memory.

Images