Meteorological disaster risk prevention and control method and system for oil and gas transportation environment

Abstract

The invention relates to the technical field of data processing methods specially suitable for supervision, in particular to a meteorological disaster risk prevention and control method and system for an oil and gas transportation environment, and the method is executed by a processor, and comprises the steps: analyzing disaster situation data and real-time climate data of flammable and explosive places along a target oil and gas pipeline, and obtaining a data change rule; executing risk assessment to obtain risk factor assessment data; obtaining risk sensitive data; acquiring disaster-bearing body data and disaster-pregnant environment characteristic data; obtaining a risk factor data set and a risk value; generating a risk investigation data table based on the risk factor data set and the risk value; and based on the real-time climate data, the disaster situation data and the risk investigation data table, sending out a disaster forecast signal. The problems that in the prior art, risk data of flammable and explosive places along oil and gas pipelines cannot be obtained in time, and prevention and control measures cannot be executed in time are solved.

Description

Technical Field

[0001] The present application relates to the technical field of data processing methods specifically suitable for monitoring purposes, and in particular to a method and system for preventing and controlling meteorological disaster risks in an oil and gas transportation environment. Background Art

[0002] During the transportation of oil and gas, due to its flammable and explosive nature, huge throughput, transmission distance of more than one thousand kilometers, and sophisticated equipment and instruments, it is particularly sensitive to meteorological disasters. If you are not careful, it may cause a catastrophic accident. Especially in different meteorological environments, the possible risk conditions are also different. The existing risk prevention and control technology cannot meet the needs of timely acquisition of risk data of flammable and explosive places along the oil and gas pipelines, and cannot achieve timely implementation of prevention and control measures. Summary of the invention

[0003] The purpose of this application is to provide a method and system for meteorological disaster risk prevention and control in an oil and gas transportation environment, which solves the problem in the prior art that it is unable to obtain risk data of flammable and explosive places along the oil and gas pipeline in a timely manner and is unable to implement prevention and control measures in a timely manner.

[0004] The technical solution of this application:

[0005] The present application provides a method and system for preventing and controlling meteorological disaster risks in an oil and gas transportation environment. The method is executed by a processor and includes:

[0006] Analyze the disaster data and real-time climate data of flammable and explosive places along the target oil and gas pipeline to obtain the data change rules;

[0007] Perform risk assessment on flammable and explosive places based on data change rules to obtain risk factor assessment data;

[0008] Determine the sensitivity of flammable and explosive places to meteorological disasters based on data change patterns and obtain risk-sensitive data;

[0009] Based on risk-sensitive data and risk factor assessment data, obtain disaster-prone body data and disaster-prone environmental characteristic data;

[0010] Based on the disaster-prone body data and disaster-prone environmental characteristic data, the risk factor data set and risk value are obtained;

[0011] Generate a risk screening data table based on the risk factor data set and risk value;

[0012] Disaster forecast signals are issued based on real-time climate data, disaster data and risk investigation data tables.

[0013] Furthermore, the real-time climate data includes at least: temperature data, precipitation data, wind data, sunshine data, humidity data, and lightning data.

[0014] Furthermore, the disaster data includes extreme climate data, which at least includes data on 24-hour precipitation exceeding 50 mm, probability data on convective gale occurrence, lightning disaster warning data, high geological disaster risk level data, and high forest fire risk level data.

[0015] Furthermore, the disaster-bearing body at least includes: a storage station, a pump station, a valve room, an oil and gas branch line, and a refinery.

[0016] Furthermore, the items in the risk investigation data table include at least: rain protection items, lightning protection items, wind protection items, and geological disaster prevention items.

[0017] Furthermore, the rain prevention project at least includes inspection measures to prevent and control waterlogging;

[0018] The lightning protection project at least includes lightning protection system assessment, lightning strike risk prevention and control hidden danger inspection measures and lightning strike risk inspection measures;

[0019] The geological disaster prevention project at least includes open-air pipeline protection defect inspection measures and buried pipeline deformation inspection measures.

[0020] Furthermore, the risk factor data set includes at least a rainstorm disaster risk factor and a lightning disaster risk factor, the rainstorm disaster risk factor includes at least rainstorm intensity and rainstorm frequency, and the lightning disaster risk factor includes at least lightning intensity and lightning density.

[0021] Furthermore, the disaster-prone environment characteristic data include rainstorm disaster-prone environment sensitive data and lightning disaster-prone environment sensitive data. The rainstorm disaster-prone environment sensitive data at least include the rainstorm disaster-prone environment altitude, the rainstorm disaster-prone environment slope, and the river network density. The lightning disaster-prone environment sensitive data at least include the lightning disaster-prone environment altitude, the lightning disaster-prone environment slope, and the lightning disaster-prone environment altitude difference.

[0022] The present application also provides a meteorological disaster risk prevention and control system for an oil and gas transportation environment, the system comprising a processor, including:

[0023] An acquisition module, which is used to acquire disaster data and real-time climate data of flammable and explosive places along the target oil and gas pipeline;

[0024] An assessment module, the assessment module is used to perform risk assessment on the received data to obtain risk factor assessment data;

[0025] A judgment module, the judgment module is used to perform sensitivity judgment on the received data to obtain risk-sensitive data;

[0026] A primary analysis module, which is used to analyze the received data to obtain disaster-prone body data and disaster-prone environment characteristic data;

[0027] A secondary analysis module, the secondary analysis module is used to perform analysis on the received data to obtain a risk factor data set and a risk value;

[0028] A writing module, wherein the table writing module is used to generate a risk screening data table;

[0029] A communication module, wherein the communication is used to send disaster forecast signals;

[0030] The processor is configured to data connect and control the acquisition module, the evaluation module, the judgment module, the primary analysis module, the secondary analysis module, the writing module and the communication module.

[0031] The technical solution of the present application has at least the following advantages and beneficial effects:

[0032] The present application provides a meteorological disaster risk prevention and control method and system for an oil and gas transportation environment, analyzes the disaster data and real-time climate data of flammable and explosive places along a target oil and gas pipeline, obtains their changing patterns, assesses risks based on the changing patterns, and sequentially determines risk factor assessment data, risk sensitivity data, disaster-bearing body data and disaster-prone environment characteristic data, risk factor data set, and risk value, comprehensively and comprehensively assesses the meteorological disaster risks that flammable and explosive places related to oil and gas pipelines may suffer, and timely generates a risk investigation data table and a related meteorological disaster environmental risk analysis report based on the above data. Based on the real-time climate data, disaster data, and risk investigation data table, the staff promptly carries out risk investigation measures and timely prevention and control, effectively solving the problem that the prior art cannot meet the needs of timely obtaining risk data of flammable and explosive places along oil and gas pipelines and cannot implement timely implementation of prevention and control measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic diagram of the flow chart of the meteorological disaster risk prevention and control method provided by the present invention;

[0034] Figure 2 This is a schematic diagram of the structure of the meteorological disaster risk prevention and control system provided by the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] Example 1

[0037] Please refer to Figure 1 The present application provides a method for preventing and controlling meteorological disaster risks in an oil and gas transportation environment, the method being executed by a processor and comprising:

[0038] Analyze the disaster data and real-time climate data of flammable and explosive places along the target oil and gas pipeline to obtain the data change rules;

[0039] Perform risk assessment on flammable and explosive places based on data change rules to obtain risk factor assessment data;

[0040] Determine the sensitivity of flammable and explosive places to meteorological disasters based on data change patterns and obtain risk-sensitive data;

[0041] Based on risk-sensitive data and risk factor assessment data, obtain disaster-prone body data and disaster-prone environmental characteristic data;

[0042] Based on the disaster-prone body data and disaster-prone environmental characteristic data, the risk factor data set and risk value are obtained;

[0043] Generate a risk screening data table based on the risk factor data set and risk value;

[0044] Disaster forecast signals are issued based on real-time climate data, disaster data and risk investigation data tables.

[0045] It is worth noting that this embodiment provides an analysis of the disaster data and real-time climate data of flammable and explosive places along the target oil and gas pipeline, obtains the change law, evaluates the risk according to the change law, and determines the risk factor assessment data, risk sensitivity data, disaster-prone body data and disaster-prone environment characteristic data, risk factor data set and risk value in turn, comprehensively and comprehensively evaluates the meteorological disaster risks that flammable and explosive places related to the oil and gas pipeline may suffer, and timely generates a risk investigation data table and related meteorological disaster environmental risk analysis report based on the above data. Based on the real-time climate data, disaster data and risk investigation data table, the staff promptly carries out risk investigation measures and timely prevention and control, which effectively solves the problem that the existing technology cannot meet the timely acquisition of risk data of flammable and explosive places along the oil and gas pipeline and cannot realize the timely implementation of prevention and control measures.

[0046] Furthermore, the real-time climate data at least includes: temperature data, precipitation data, wind data, sunshine data, humidity data, and lightning data. In detail, the real-time climate data includes not only the data at that time, but also includes: annual average temperature, annual average maximum temperature, annual average minimum temperature; four seasons average temperature, four seasons average maximum temperature, four seasons average minimum temperature; monthly average temperature, monthly average maximum temperature, monthly average minimum temperature; daily maximum temperature, daily minimum temperature; annual precipitation, four seasons precipitation, monthly precipitation, daily maximum precipitation; annual average wind speed, four seasons average wind speed, monthly average wind speed, daily maximum wind speed; annual sunshine hours, four seasons sunshine hours, monthly sunshine hours; annual average relative humidity, four seasons average relative humidity, monthly average relative humidity; number of days with disastrous weather and extreme climate events; number of days with strong winds, thunderstorms, rainstorms, rainstorms, high temperature days (daily maximum temperature ≥ 30°C), low temperature days (daily minimum temperature ≤ 0°C), extreme precipitation days, and extreme cold and warm days. It is preferred to conduct time distribution characteristic analysis, and analyze the changing patterns of meteorological elements in the target oil and gas pipeline area over a long period of time by using chart analysis, including interannual, monthly, and daily changes, and then evaluate the high-risk periods for meteorological disasters. By analyzing the spatiotemporal distribution characteristics of meteorological data in the target oil and gas pipeline distribution area, a comprehensive and detailed assessment of the meteorological disaster risks that the target oil and gas pipeline Anning first station may suffer is conducted, a meteorological disaster environmental risk analysis report is formed, and suggestions for meteorological disaster risk management are put forward.

[0047] It should be noted that heavy rain, lightning, strong winds, landslides, mudslides, forest fires and other meteorological disasters and their secondary disasters may affect the safe production of pipeline-related flammable and explosive places. Therefore, the disaster data includes extreme climate data, which at least includes data on 24-hour precipitation exceeding 50 mm, probability data on convective strong winds, lightning disaster warning data, high geological disaster risk level data, and high forest fire risk level data.

[0048] Furthermore, the disaster-prone bodies include at least: storage stations, pump stations, valve rooms, oil and gas branch lines, and refineries. It should be noted that according to the sensitivity of the target oil and gas pipelines to meteorological disasters, risk analysis and assessment of high-impact meteorological disasters such as rainstorms and lightning are carried out, and combined with the main disaster-prone bodies and disaster-prone environmental characteristics of the China-Myanmar oil and gas pipeline, such as storage stations, pump stations, valve rooms, oil and gas branch lines, etc., various risk factors are analyzed and calculated to obtain the disaster risk values ​​of each region.

[0049] Furthermore, the items in the risk investigation data table include at least: rain protection items, lightning protection items, wind protection items, and geological disaster prevention items.

[0050] In detail, the meteorological disaster risk prevention and control method for the oil and gas transportation environment provided by this application is based on the strategies of fine monitoring, early forecasting, accurate early warning, graded prevention and control, emergency plans, and scientific popularization. Among them, in the risk prevention and control process of lightning protection projects, lightning protection and anti-static device testing and evaluation are carried out, and lightning connection, down-leading, and grounding device inspections are carried out; engineering rectification is mainly used to improve lightning protection devices and eliminate lightning strike hazards; a guarantee system for regular inspections and timely rectifications is established. Among them, in the risk prevention and control process of rain protection projects, flooded points are checked and water-related hazards of facilities and equipment are checked; protective reinforcement and waterproofing measures are implemented, drainage is cleared in advance, and disorderly discharge is avoided; a guarantee system for early inspection and orderly drainage is established. Among them, in the risk prevention and control process of wind protection projects, prevention of convective strong winds is implemented, and falling objects and pollutant emissions from high altitudes of stations are checked; protective reinforcement and wind protection measures are implemented to control pollutant emission hazards; a guarantee system for early inspection and wind protection safety is established. Among them, in the risk prevention and control process of geological disaster prevention projects, prevention of geological disasters caused by heavy rainfall is implemented, and risks of open-air and buried pipelines are checked. ; Implement protection defects of open-air pipelines and deformation risks of buried pipelines; establish a safety protection system for regular inspections of pipelines and the impact of geological disasters on safety.

[0051] Furthermore, the rain prevention project at least includes inspection measures for preventing and controlling waterlogging; the lightning protection project at least includes lightning protection system assessment, inspection measures for preventing and controlling lightning strike risk hazards, and lightning strike risk inspection measures; the geological disaster prevention project at least includes open-air pipeline protection defect inspection measures and buried pipeline deformation inspection measures.

[0052] Furthermore, the risk factor data set includes at least a rainstorm disaster risk factor and a lightning disaster risk factor, the rainstorm disaster risk factor includes at least rainstorm intensity and rainstorm frequency, and the lightning disaster risk factor includes at least lightning intensity and lightning density.

[0053] Furthermore, the disaster-prone environment characteristic data include rainstorm disaster-prone environment sensitive data and lightning disaster-prone environment sensitive data. The rainstorm disaster-prone environment sensitive data at least include the rainstorm disaster-prone environment altitude, the rainstorm disaster-prone environment slope, and the river network density. The lightning disaster-prone environment sensitive data at least include the lightning disaster-prone environment altitude, the lightning disaster-prone environment slope, and the lightning disaster-prone environment altitude difference.

[0054] In detail, in the process of meteorological disaster risk control, it is necessary to collect meteorological data, determine the analysis method, analyze climate characteristics, determine the main meteorological disasters, establish a meteorological disaster risk analysis model, analyze meteorological disaster risks, and conclude and make suggestions. In the process of meteorological disaster risk investigation and management, it is necessary to conduct on-site investigation, formulate implementation plans, on-site inspection and testing, test data analysis, sub-item evaluation, comprehensive analysis and evaluation, governance opinions and suggestions, and form a "Meteorological Disaster Risk Control and Hidden Danger Investigation Report". In the process of meteorological disaster investigation and appraisal, it is necessary to conduct on-site investigation and data collection, determine analysis methods, data monitoring and analysis, investigate the causes of safety accidents, determine the disaster hidden danger points and causes, propose governance methods, conclusions and suggestions, and form a "Meteorological Disaster Investigation and Appraisal Report". In the process of forecasting, warning and emergency support, it is necessary to conduct meteorological warning SMS decision-making groups, apps, emergency site investigations, determine emergency support products, formulate emergency support implementation plans, carry out emergency support, effect evaluation, and analysis and summary. In the actual work process, popular science training on meteorological disaster prevention knowledge is also carried out, which requires determining the training objectives, determining the training content, formulating a training plan, collecting training materials, producing training courseware, conducting training, evaluating the training effects, providing feedback and improvement.

[0055] Example 2

[0056] Please refer to Figure 2 The present application also provides a meteorological disaster risk prevention and control system for an oil and gas transportation environment, the system comprising a processor, including:

[0057] An acquisition module, which is used to acquire disaster data and real-time climate data of flammable and explosive places along the target oil and gas pipeline;

[0058] An assessment module, the assessment module is used to perform risk assessment on the received data to obtain risk factor assessment data;

[0059] A judgment module, the judgment module is used to perform sensitivity judgment on the received data to obtain risk-sensitive data;

[0060] A primary analysis module, which is used to analyze the received data to obtain disaster-prone body data and disaster-prone environment characteristic data;

[0061] A secondary analysis module, the secondary analysis module is used to perform analysis on the received data to obtain a risk factor data set and a risk value;

[0062] A writing module, wherein the table writing module is used to generate a risk screening data table;

[0063] A communication module, wherein the communication is used to send disaster forecast signals;

[0064] The processor is configured to data connect and control the acquisition module, the evaluation module, the judgment module, the primary analysis module, the secondary analysis module, the writing module and the communication module.

[0065] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and the present invention can be implemented in other specific forms without departing from the spirit or basic features of the present invention. Therefore, no matter from which point of view, the embodiments should be regarded as exemplary and non-restrictive. The scope of the present invention is defined by the attached claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved.

[0066] In addition, it should be understood that although the present specification is described according to implementation modes, not every implementation mode contains only one independent technical solution. This description of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment may also be appropriately combined to form other implementation modes that can be understood by those skilled in the art.

Claims

1. A method for preventing and controlling meteorological disaster risks in an oil and gas transportation environment, the method being executed by a processor, characterized in that: include: Analyze the disaster data and real-time climate data of flammable and explosive places along the target oil and gas pipeline to obtain the data change rules; Perform risk assessment on flammable and explosive places based on data change rules to obtain risk factor assessment data; Determine the sensitivity of flammable and explosive places to meteorological disasters based on data change patterns and obtain risk-sensitive data; Based on risk-sensitive data and risk factor assessment data, obtain disaster-prone body data and disaster-prone environmental characteristic data; Based on the disaster-prone body data and disaster-prone environmental characteristic data, the risk factor data set and risk value are obtained; Generate a risk screening data table based on the risk factor data set and risk value; Disaster forecast signals are issued based on real-time climate data, disaster data and risk investigation data tables.

2. The meteorological disaster risk prevention and control method according to claim 1, characterized in that: The real-time climate data includes at least: temperature data, precipitation data, wind data, sunshine data, humidity data, and lightning data.

3. The meteorological disaster risk prevention and control method according to claim 1, characterized in that: The disaster data includes extreme climate data, which at least includes data on 24-hour precipitation exceeding 50 mm, probability data on convective gale occurrence, lightning disaster warning data, high geological disaster risk level data, and high forest fire risk level data.

4. The meteorological disaster risk prevention and control method according to claim 1, characterized in that: The disaster-bearing body at least includes: a storage station, a pump station, a valve room, an oil and gas branch line, and a refinery.

5. The meteorological disaster risk prevention and control method according to claim 1, characterized in that: The items in the risk investigation data table include at least: rain protection projects, lightning protection projects, wind protection projects, and geological disaster prevention projects.

6. The meteorological disaster risk prevention and control method according to claim 5, characterized in that: The rain protection project shall at least include inspection measures for preventing and controlling waterlogging; The lightning protection project at least includes lightning protection system assessment, lightning strike risk prevention and control hidden danger inspection measures and lightning strike risk inspection measures; The geological disaster prevention project at least includes open-air pipeline protection defect inspection measures and buried pipeline deformation inspection measures.

7. The meteorological disaster risk prevention and control method according to claim 1, characterized in that: The risk factor data set includes at least a rainstorm disaster risk factor and a lightning disaster risk factor, wherein the rainstorm disaster risk factor includes at least rainstorm intensity and rainstorm frequency, and the lightning disaster risk factor includes at least lightning intensity and lightning density.

8. The meteorological disaster risk prevention and control method according to claim 1, characterized in that: The disaster-prone environment characteristic data include rainstorm disaster-prone environment sensitive data and lightning disaster-prone environment sensitive data. The rainstorm disaster-prone environment sensitive data at least include the rainstorm disaster-prone environment altitude, rainstorm disaster-prone environment slope, and river network density. The lightning disaster-prone environment sensitive data at least include the lightning disaster-prone environment altitude, lightning disaster-prone environment slope, and lightning disaster-prone environment altitude difference.

9. A meteorological disaster risk prevention and control system for oil and gas transportation environment, the system comprising a processor, characterized in that: An acquisition module, which is used to acquire disaster data and real-time climate data of flammable and explosive places along the target oil and gas pipeline; An assessment module, the assessment module is used to perform risk assessment on the received data to obtain risk factor assessment data; A judgment module, the judgment module is used to perform sensitivity judgment on the received data to obtain risk-sensitive data; A primary analysis module, which is used to analyze the received data to obtain disaster-prone body data and disaster-prone environment characteristic data; A secondary analysis module, the secondary analysis module is used to perform analysis on the received data to obtain a risk factor data set and a risk value; A writing module, wherein the table writing module is used to generate a risk screening data table; A communication module, wherein the communication is used to send disaster forecast signals; The processor is configured to data connect and control the acquisition module, the evaluation module, the judgment module, the primary analysis module, the secondary analysis module, the writing module and the communication module.

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