CN111310978A - Method and device for determining key monitoring pipe section of oil and gas pipeline - Google Patents
Method and device for determining key monitoring pipe section of oil and gas pipeline Download PDFInfo
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Abstract
The application discloses a method and a device for determining key monitoring pipe sections of an oil-gas pipeline, and belongs to the technical field of risk evaluation of the oil-gas pipeline. The area where the oil and gas pipeline is located is divided into a plurality of local areas, and then population distribution data in each local area are obtained, so that the population number in each local area is determined, a target local area and a corresponding key monitoring pipe section are further determined, manual inspection and statistics are not needed, and the working efficiency is improved. In addition, according to the current population distribution data and the historical population distribution data, the predicted population distribution data is obtained, and then the predicted key monitoring pipe sections are finally determined, so that the pipe sections which are possibly the key monitoring pipe sections in the future can be predicted in advance, the key monitoring pipe sections can be predicted in advance, and early warning can be conveniently performed by technicians.
Description
Technical Field
The application relates to the technical field of risk evaluation of oil and gas pipelines, in particular to a method and a device for determining key monitoring pipe sections of an oil and gas pipeline.
Background
Oil and gas pipelines are pipelines for transporting oil or gas, and are generally laid underground and have a long length. When the pipe sections of the oil and gas pipeline at different positions are leaked, the severity of the caused consequences is different, and the public safety can be seriously endangered when some pipe sections are leaked, so that the pipe sections which can cause serious consequences when the pipe sections are leaked need to be intensively monitored. In practical application, whether a certain pipe section of an oil and gas pipeline is a key monitoring pipe section needs to be judged by combining the surrounding environment of the oil and gas pipeline, so that the pipe section determined as the key monitoring pipe section is subjected to key monitoring.
In the related art, on-site inspection is a main means for determining key monitoring pipe sections of an oil and gas pipeline. Specifically, the technical staff tours its surrounding environment along the extending direction of oil and gas pipeline to make statistics of the surrounding environment of oil and gas pipeline, and then determine the key monitoring pipe section of whole oil and gas pipeline.
In the course of implementing the present application, the inventors found that there are at least the following problems in the related art:
under the normal condition, because the line of the oil and gas pipeline is long, the surrounding environment is very complex, the workload of counting the surrounding environment is large, and the field inspection is often limited by the geographic environment, the climate environment and the traffic, so that the working efficiency of manually determining the key monitoring pipe section is low.
Disclosure of Invention
In view of this, the embodiment of the present application provides a method and an apparatus for determining a key monitoring pipe segment of an oil and gas pipeline, which can improve the work efficiency of determining the key monitoring pipe segment. The technical scheme is as follows:
in one aspect, an embodiment of the present application provides a method for determining a critical monitoring pipe segment of an oil and gas pipeline, the method including:
dividing the region where the oil and gas pipeline to be detected is located to obtain a plurality of local regions;
obtaining current population distribution data in each local area from a network operator;
obtaining predicted population distribution data in each local area according to the current population distribution data and the historical population distribution data in each local area;
determining a current population count and a predicted population count within each local area based on the current population distribution data within each local area and the predicted population distribution data within each local area;
determining the local areas of which the current population number and the predicted population number are greater than the target number as a current target local area and a predicted target local area respectively;
and respectively determining the oil and gas pipe sections in the current target local area and the prediction target local area as a current key monitoring pipe section and a prediction key monitoring pipe section of the oil and gas pipeline.
Optionally, the area where the oil and gas pipeline to be detected is located is divided to obtain a plurality of local areas, including:
acquiring the position information of the center line of the oil and gas pipeline;
dividing the region where the oil-gas pipeline to be detected is located based on the position information of the central line, the preset distance value, the preset length value and the preset distance value to obtain a plurality of local regions;
the preset distance value is a distance value between a boundary line of the local area, which is located on two sides of the central line, and the central line, the preset length value is a length value of the local area along the direction of the central line, and the preset distance value is a distance value between starting positions of two adjacent local areas.
Optionally, the obtaining, from the network operator, current population distribution data in each local area includes:
acquiring current general population distribution data in an area where the oil and gas pipeline is located from a network operator;
and obtaining the current population distribution data in each local area according to the position information of each local area and the current general population distribution data.
Optionally, the method further includes:
and if a non-key monitoring pipe section exists between two adjacent key monitoring pipe sections and the length of the non-key monitoring pipe section is not more than a preset value, determining the non-key monitoring pipe section as the key monitoring pipe section of the oil and gas pipeline.
Optionally, the obtaining, from the network operator, current population distribution data in each local area includes:
when the acquisition period is reached, the current population distribution data in each local area is acquired from the network operator.
In another aspect, an embodiment of the present application provides an apparatus for determining a critical monitoring pipe segment of an oil and gas pipeline, the apparatus including:
the dividing module is used for dividing the region where the oil and gas pipeline to be detected is located to obtain a plurality of local regions;
the acquisition module is used for acquiring current population distribution data in each local area from a network operator;
the analysis module is used for obtaining the predicted population distribution data in each local area according to the current population distribution data and the historical population distribution data in each local area;
the analysis module is further used for determining the current population number and the predicted population number in each local area based on the current population distribution data in each local area and the predicted population distribution data in each local area;
the analysis module is further configured to determine local areas where the current population number and the predicted population number are greater than a target number as a current target local area and a predicted target local area, respectively;
and the determining module is used for determining the oil and gas pipe sections in the current target local area and the prediction target local area as a current key monitoring pipe section and a prediction key monitoring pipe section of the oil and gas pipeline respectively.
Optionally, the device further comprises a dividing module including an acquisition submodule and a dividing submodule, wherein the acquisition submodule is used for acquiring the position information of the center line of the oil and gas pipeline;
the division submodule is used for dividing the area where the oil-gas pipeline to be detected is located based on the position information of the central line, a preset distance value, a preset length value and a preset distance value to obtain a plurality of local areas;
the preset distance value is a distance value between a boundary line of the local area, which is located on two sides of the central line, and the central line, the preset length value is a length value of the local area along the direction of the central line, and the preset distance value is a distance value between starting positions of two adjacent local areas.
Optionally, the obtaining module is specifically configured to obtain, from a network operator, current general population distribution data in an area where the oil and gas pipeline is located, and obtain the current population distribution data in each local area according to the location information of each local area and the current general population distribution data.
Optionally, the determining module is further configured to determine a condition between two adjacent key monitoring pipe segments, and if a non-key monitoring pipe segment exists between two adjacent key monitoring pipe segments and the length of the non-key monitoring pipe segment is not greater than a preset value, determine the non-key monitoring pipe segment as the key monitoring pipe segment of the oil and gas pipeline.
Optionally, the obtaining module is specifically configured to obtain, from a network operator, current population distribution data in each local area when an obtaining period is reached.
The technical scheme provided by the embodiment of the application at least has the following beneficial effects:
in the embodiment of the application, a method for determining a key monitoring pipe section of an oil and gas pipeline is provided: dividing the region where the oil and gas pipeline to be detected is located to obtain a plurality of local regions; acquiring population distribution data in each local area from a network operator; obtaining predicted population distribution data in each local area according to the current population distribution data and the historical population distribution data; determining a current population count and a predicted population count within each local area based on the current population distribution data and the predicted population distribution data for each local area; respectively determining the local areas with the current population number and the predicted population number larger than the target number as a current target local area and a predicted target local area; and respectively determining the oil and gas pipe sections in the current target local area and the prediction target local area as a current key monitoring pipe section and a prediction key monitoring pipe section of the oil and gas pipeline. The area where the oil and gas pipeline is located is divided into a plurality of local areas, and population distribution data of the area where the oil and gas pipeline is located is obtained, so that the population number in each local area is determined, the target local area and the corresponding key monitoring pipe section are determined, manual inspection and statistics are not needed, and the working efficiency is improved. In addition, according to the current population distribution data and the historical population distribution data, the predicted population distribution data is obtained, and then the predicted key monitoring pipe sections are finally determined, so that the pipe sections which are possibly the key monitoring pipe sections in the future can be predicted in advance, the key monitoring pipe sections can be predicted in advance, and early warning can be conveniently performed by technicians.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a flow chart of a method of determining an emphasized monitor segment of an oil and gas pipeline provided by an embodiment of the present application;
FIG. 2 is a block diagram of an apparatus for determining an emphasized monitor segment of an oil and gas pipeline according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The embodiments of the present application provide a method of determining key monitor sections of an oil and gas pipeline, which is used to transport oil or gas, is typically laid underground and is long. In practical applications, the pipe sections of the oil and gas pipeline at different positions have different peripheral environments, so that the pipe sections of the oil and gas pipeline at different positions are leaked, and the severity of the resulting effects is also different. For example, if a leak occurs in a section of an oil and gas pipeline that is densely populated, the consequences may be more severe, while if a leak occurs in a section of an oil and gas pipeline that is less populated, or even unoccupied, the consequences may be less severe.
In order to avoid the serious consequences caused by the leakage of the pipe sections with dense population distribution, technicians usually carry out field inspection to count the surrounding environment of the oil-gas pipeline, and then determine the pipe sections which can cause the serious consequences when the leakage occurs in the whole oil-gas pipeline, namely, the important monitoring pipe sections, so as to carry out important monitoring on the pipe sections. However, in a common situation, the oil and gas pipeline has a long line, the surrounding environment is very complex, the workload of manual statistics on the surrounding environment is large, and manual on-site inspection is often limited by the geographic environment, the climate environment and traffic, so that the work efficiency of manually determining key monitoring pipe sections is low.
In addition, the surrounding environment of the oil and gas pipeline changes with time, such as the building and the building demolition and the personnel flow, but the method of manual patrol statistics is time-consuming and labor-consuming, so that the important monitoring pipe sections are difficult to be determined again according to the change of the surrounding environment in time.
The method can solve the problems that the work efficiency for determining the key monitoring pipe section is low and the key monitoring pipe section is difficult to be determined again in time according to the change of the surrounding environment.
FIG. 1 is a flow chart of a method of determining an emphasized monitoring pipe segment of an oil and gas pipeline provided by an embodiment of the present application. The execution subject of the method may be a computer device located at an oil and gas pipeline control center. Referring to fig. 1, the method of determining an emphasized monitoring pipe segment of an oil and gas pipeline includes the steps of:
in step 101, a computer device divides an area where an oil and gas pipeline to be detected is located to obtain a plurality of local areas.
The area where the oil and gas pipeline to be detected is located is the peripheral area of the oil and gas pipeline to be detected. The length of the oil and gas pipe section corresponding to each local area is the minimum length of the important monitoring pipe section.
For example, the computer device may obtain position information of a center line of the oil and gas pipeline, and divide an area where the oil and gas pipeline to be detected is located based on the position information of the center line, a preset distance value, a preset length value, and a preset distance value, to obtain a plurality of local areas.
The position information of the center line of the oil and gas pipeline may be GPS (global positioning System) positioning information of the center line of the oil and gas pipeline.
The preset distance value is a distance value between a boundary line of the local area on two sides of the central line and the central line, and the width of each local area is equal. For example, the predetermined distance may be 200 meters, and the width of the local area is 400 meters. The preset length value is the length value of the local area along the central line, and the extension length of each local area is equal. For example, the preset length value may be 1000 meters, and the extension length of the local area is 1000 meters.
The preset distance value is a distance value between the start positions of two adjacent local regions, for example, the preset distance value may be 10 meters, and the distance between the start positions of two adjacent local regions is 10 meters.
In the extending direction of the oil and gas pipeline, the starting boundary and the ending boundary of each local area are perpendicular to the central line. In the direction perpendicular to the extending direction of the oil and gas pipeline, the distances between the points on the side boundary of each local area and the corresponding points on the center line are equal.
In practice, the technician may determine several measurement points on the centerline of the oil and gas pipeline from the start of the oil and gas pipeline along the extension direction of the oil and gas pipeline, and the distance between adjacent measurement points along the centerline of the pipeline may be 10 meters. Then, the technician can hold the acquisition device capable of acquiring the GPS positioning information, acquire the GPS positioning information of each measurement point on the center line one by one, and send the GPS positioning information to the computer device. And the computer equipment divides the area where the oil-gas pipeline is located into a plurality of local areas according to the GPS positioning information, the preset distance, the preset length value and the preset distance value of each measuring point to obtain the position information of the local areas.
In step 102, the computer device obtains demographic data in each local area from a network operator.
The population distribution data comprises position information of unit population, and can be represented by a plurality of coordinate points with the position information, and one coordinate point represents one unit population.
In practice, the population distribution data in each local area may be derived from the location information of each local area and the overall population distribution data in the area where the oil and gas pipeline is located. The computer equipment firstly obtains general population distribution data, and then subdivides the general population distribution data according to the position information of each local area to obtain population distribution data of each local area.
In step 103, the computer device obtains predicted population distribution data in each local area according to the current population distribution data and the historical population distribution data in each local area.
The population distribution data acquired by the computer device from the network operator at a certain time is the population distribution data corresponding to the current time, namely the current population distribution data, and the population distribution data acquired before the current time, namely the historical population distribution data, can be stored in the computer device. The computer device may obtain population distribution data corresponding to future time in each local area, that is, predicted population distribution data, according to the current population distribution data and the historical population distribution data, and accordingly, the computer device may perform the following steps of determining a current key monitoring pipe section and a predicted key monitoring pipe section of the oil and gas pipeline, based on the current population data and the predicted population data, respectively.
A method for obtaining the predicted population distribution data in a local area by a computer device according to the current population distribution data and the historical population distribution data in the local area is introduced below.
After obtaining the current population distribution data from the network operator, the computer device may input the previously obtained historical population distribution data and the current population distribution data into the prediction model to obtain the predicted population distribution data.
For example, the predictive model may be an ARIMA (differential Autoregressive Moving Average) model, and accordingly, the computer device may obtain the predicted population distribution data using the following formula.
Wherein, ytTo predict demographic data, yt-1For current population distribution data, yt-2...yt-pHistorical demographic data. u is a white noise term corresponding to the population distribution data sequence at each time, the non-negative integer p is an autoregressive order,are autoregressive coefficients. The non-negative integer q is the moving average order, θ1…θqIs a coefficient of a running average, et…et-gAnd white noise items corresponding to all times. The computer equipment can firstly carry out stabilization processing on the current population distribution data and the historical population distribution data, then adjust the autoregressive order and the sliding average order to enable the model to meet the Chichi information criterion or the Bayesian information criterion, finally carry out residual white noise test, judge whether the residual sequence is the white noise sequence, and the tested model is a reasonable prediction model, so that the computer equipment can obtain the predicted population distribution data based on the current population distribution data and the historical population distribution data by utilizing the prediction model. Of course, the computer device may also obtain the predicted population distribution data by using other models, which is not limited in this application.
Therefore, the computer equipment obtains the predicted population distribution data according to the current population distribution data and the historical population distribution data, and finally determines the predicted key monitoring pipe section, so that the pipe section which is possibly the key monitoring pipe section in the future can be predicted in advance, the advance prediction of the key monitoring pipe section is realized, and the early warning of technicians is facilitated.
When the computer equipment cannot acquire the current population distribution data from the network operator, the computer equipment can also use the predicted population distribution data in the previously determined current time period as the current population distribution data, and further determine the current key monitoring pipe section based on the current population distribution data, so that the situation that the current key monitoring pipe section cannot be determined due to the fact that the current population distribution data cannot be acquired is avoided.
It should be noted that the method for determining the current important monitoring pipe section based on the current population data by the computer device may be the same as the method for determining the predicted important monitoring pipe section based on the predicted population distribution data, so that no distinction is made in the following description, and the "population distribution data" is used to represent the "current population distribution data" and the "predicted population distribution data".
In step 104, the computer device determines a population count within each local area based on the population distribution data for each local area.
In an implementation, after the computer device obtains the population distribution data in each local area, as described above, one coordinate point in the population distribution data represents one person, and accordingly, the computer device may count the coordinate points in each local area, and further determine the population number in each local area.
In step 105, the computer device determines a local area having a population greater than the target number as the target local area.
Wherein the target number may be determined according to a safety level of the oil and gas pipeline. For example, the target number may be 100, and accordingly, the computer device may determine a local area having a population greater than 100 as the target local area.
In practice, after the computer device obtains the population number in each local area, the population number in each local area can be compared with the target number, and if the population number in a certain local area is larger than the target number, the local area can be determined as the target local area.
In step 106, the computer device determines the hydrocarbon pipe segments within the target local area as the key monitoring pipe segments of the hydrocarbon pipeline.
The computer equipment can record the position information of the central line of the oil-gas pipeline corresponding to the key monitoring pipeline section as the position information of the key monitoring pipeline section, and can also directly use the position information of the target local area as the position information of the key monitoring pipeline section.
In implementation, after the computer equipment determines the important monitoring pipe section, a technician can accurately find the important monitoring pipe section according to the position information of the important monitoring pipe section, and take safety measures such as pipe wall reinforcement and valve timing inspection on the important monitoring pipe section, so that the reliability of the important monitoring pipe section is improved.
Based on the method, the area where the oil and gas pipeline is located is divided into the plurality of local areas, and then population distribution data in each local area are obtained, so that the population number in each local area is determined, the target local area and the corresponding key monitoring pipe section are further determined, manual inspection and statistics are not needed, and the working efficiency is improved. In addition, according to the current population distribution data and the historical population distribution data, the predicted population distribution data is obtained, and then the predicted key monitoring pipe sections are finally determined, so that the pipe sections which are possibly the key monitoring pipe sections in the future can be predicted in advance, the key monitoring pipe sections can be predicted in advance, and early warning can be conveniently performed by technicians.
In order to more conveniently manage the important monitoring pipe section, the method for determining the important monitoring pipe section may further include:
and if the computer equipment detects that a non-key monitoring pipe section exists between two adjacent key monitoring pipe sections and the length of the non-key monitoring pipe section is not greater than a preset value, determining the non-key monitoring pipe section as the key monitoring pipe section of the oil-gas pipeline.
The preset value can be determined according to management needs, for example, the preset value can be 50 meters, so that the extension length of the non-key monitoring pipe section with the minimum length is less than 50 meters, and the minimum distance between two adjacent key monitoring pipe sections is 50 meters.
Therefore, the situation that the distance between two adjacent key monitoring pipe sections is short but the two key monitoring pipe sections are required to be managed respectively is avoided, and the management of the key monitoring pipe sections is facilitated.
To enable automatic updating of the population distribution data in each local area, and thus dynamic determination of the heavily monitored pipe segments, step 102 may include:
when the acquisition period is reached, the computer device acquires the population distribution data in each local area from the network operator.
Wherein the acquisition period can be determined according to the mobility of personnel in the region where the oil and gas pipeline is located. For example, the acquisition period may be 10 minutes.
Therefore, the computer equipment automatically acquires the latest population distribution data according to a certain acquisition period, so that the population number in each local area is determined again according to the position information of each local area, the target local area is further determined again, the dynamic determination of the counterweight monitoring pipe section is realized, and the effectiveness of the determination result is ensured.
In order to facilitate the technician to view the information of the important monitoring pipe section, the method for determining the important monitoring pipe section of the oil and gas pipeline can further comprise the following steps:
the computer equipment obtains the position information of the central line of the oil and gas pipeline, the position information of a plurality of local areas, population distribution data in each local area and the position information of key monitoring pipe sections, and performs visual display based on the satellite image of the area where the oil and gas pipeline is located.
Wherein, the computer equipment can also obtain the satellite image of the region that oil gas pipeline was located.
Therefore, the computer equipment can visualize the data obtained by the acquisition and calculation processing based on the satellite image of the region where the oil and gas pipeline is located, and the data can be checked by technicians.
In order to make the technician timely know the change of the number and the position of the important monitoring pipe sections, the method for determining the important monitoring pipe sections of the oil and gas pipeline can further comprise the following steps: when the computer equipment detects that the number and the position of the key monitoring pipe sections are changed, an early warning signal can be sent out. For example, the computer device may include a display module and an audio playing module, the display module may be configured to display the early warning text, and the audio playing module may be configured to play an alarm ring, so as to avoid a situation that a technician cannot know that the number and the position of the important monitoring pipe segments change in time.
In the embodiment of the application, the method for determining the key monitoring pipe sections of the oil and gas pipeline is provided, the area where the oil and gas pipeline is located is divided into the plurality of local areas, and then the population distribution data in each local area is obtained, so that the population number in each local area is determined, the target local area and the corresponding key monitoring pipe sections are further determined, manual inspection and statistics are not needed, and the working efficiency is improved. In addition, according to the current population distribution data and the historical population distribution data, the predicted population distribution data is obtained, and then the predicted key monitoring pipe sections are finally determined, so that the pipe sections which are possibly the key monitoring pipe sections in the future can be predicted in advance, the key monitoring pipe sections can be predicted in advance, and early warning can be conveniently performed by technicians.
Based on the same technical concept, the embodiment of the application also provides a device for determining the key monitoring pipe section of the oil and gas pipeline. Referring to fig. 2, the apparatus includes:
the dividing module 201 is configured to divide a region where an oil and gas pipeline to be detected is located, so as to obtain a plurality of local regions.
An obtaining module 202, configured to obtain current population distribution data in each local area from a network operator.
The analysis module 203 is used for obtaining the predicted population distribution data in each local area according to the current population distribution data and the historical population distribution data;
the analysis module 203 is further configured to determine a current population number and a predicted population number in each local area based on the current population distribution data in each local area and the predicted population distribution data in each local area.
The analysis module 203 is further configured to determine the current population and the local area where the predicted population is greater than the target population as a current target local area and a predicted target local area, respectively.
The determining module 204 is configured to determine the oil and gas pipe segments in the current target local area and the predicted target local area as a current key monitoring pipe segment and a predicted key monitoring pipe segment of the oil and gas pipeline, respectively.
Optionally, the dividing module 201 includes an acquisition submodule and a dividing submodule;
the acquisition submodule is used for acquiring the position information of the center line of the oil-gas pipeline;
the division submodule is used for dividing the area where the oil-gas pipeline to be detected is located based on the position information of the central line, a preset distance value, a preset length value and a preset distance value to obtain a plurality of local areas;
the preset distance value is a distance value between a boundary line of the local area located on two sides of the central line and the central line, the preset length value is a length value of the local area along the direction of the central line, and the preset distance value is a distance value between starting positions of two adjacent local areas.
Optionally, the obtaining module 202 is specifically configured to obtain, from a network operator, current general population distribution data in an area where the oil and gas pipeline is located, and obtain the current population distribution data in each local area according to the location information of each local area and the current general population distribution data.
Optionally, the determining module 204 is further configured to determine a condition between two adjacent key monitoring pipe segments, and if a non-key monitoring pipe segment exists between two adjacent key monitoring pipe segments and the length of the non-key monitoring pipe segment is not greater than a preset value, determine the non-key monitoring pipe segment as the key monitoring pipe segment of the oil and gas pipeline.
Optionally, the obtaining module 202 is specifically configured to obtain, from the network operator, current population distribution data in each local area when the obtaining period is reached.
Optionally, the apparatus further comprises:
the summarizing module is used for acquiring the position information of the center line of the oil and gas pipeline acquired by the acquisition sub-module, the position information of a plurality of local areas acquired by the dividing module 201, the population distribution data in each local area acquired by the acquisition module 202 and the position information of the key monitoring pipe section determined by the determining module 204, and sending the information to the display module;
and the display module is used for receiving the information sent by the summarizing module and visually displaying the received information based on the satellite image of the region where the oil and gas pipeline is located.
Optionally, the device further comprises an early warning module, configured to send an early warning signal when detecting that the number and the position of the important monitoring pipe segments change.
In the embodiment of the application, a device for determining key monitoring pipe sections of an oil and gas pipeline is provided, the area where the oil and gas pipeline is located is divided into a plurality of local areas, population distribution data of the area where the oil and gas pipeline is located is obtained, population quantity in each local area is determined, target local areas and corresponding key monitoring pipe sections are determined, manual inspection and statistics are not relied on, and work efficiency is improved. In addition, according to the current population distribution data and the historical population distribution data, the predicted population distribution data is obtained, and then the predicted key monitoring pipe sections are finally determined, so that the pipe sections which are possibly the key monitoring pipe sections in the future can be predicted in advance, the key monitoring pipe sections can be predicted in advance, and early warning can be conveniently performed by technicians.
It should be noted that: the device for determining the key monitoring pipe section of the oil and gas pipeline provided by the embodiment is only exemplified by the division of the functional modules when determining the key monitoring pipe section, and in practical application, the function distribution can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules so as to complete all or part of the functions described above. In addition, the device for determining the important monitoring pipe section of the oil and gas pipeline and the method embodiment for determining the important monitoring pipe section of the oil and gas pipeline provided by the embodiment belong to the same concept, and the specific implementation process is detailed in the method embodiment and is not described herein again.
The above description is intended to be exemplary only, and not to limit the present application, and any modifications, equivalents, improvements, etc. made within the spirit and scope of the present application are intended to be included therein.
Claims (10)
1. A method of determining a key monitor segment for an oil and gas pipeline, the method comprising:
dividing the region where the oil and gas pipeline to be detected is located to obtain a plurality of local regions;
obtaining current population distribution data in each local area from a network operator;
obtaining predicted population distribution data in each local area according to the current population distribution data and the historical population distribution data in each local area;
determining a current population count and a predicted population count within each local area based on the current population distribution data within each local area and the predicted population distribution data within each local area;
determining the local areas of which the current population number and the predicted population number are greater than the target number as a current target local area and a predicted target local area respectively;
and respectively determining the oil and gas pipe sections in the current target local area and the prediction target local area as a current key monitoring pipe section and a prediction key monitoring pipe section of the oil and gas pipeline.
2. The method of determining key monitoring pipe sections of an oil and gas pipeline according to claim 1, wherein the dividing of the area where the oil and gas pipeline to be detected is located to obtain a plurality of local areas comprises:
acquiring the position information of the center line of the oil and gas pipeline;
dividing the region where the oil-gas pipeline to be detected is located based on the position information of the central line, the preset distance value, the preset length value and the preset distance value to obtain a plurality of local regions;
the preset distance value is a distance value between a boundary line of the local area, which is located on two sides of the central line, and the central line, the preset length value is a length value of the local area along the direction of the central line, and the preset distance value is a distance value between starting positions of two adjacent local areas.
3. The method of determining key monitor segments for an oil and gas pipeline of claim 1, wherein said obtaining current population distribution data in each local area from a network operator comprises:
acquiring current general population distribution data in an area where the oil and gas pipeline is located from a network operator;
and obtaining the current population distribution data in each local area according to the position information of each local area and the current general population distribution data.
4. The method of determining key monitor segments for an oil and gas pipeline of claim 1, further comprising:
and if a non-key monitoring pipe section exists between two adjacent key monitoring pipe sections and the length of the non-key monitoring pipe section is not more than a preset value, determining the non-key monitoring pipe section as the key monitoring pipe section of the oil and gas pipeline.
5. The method of determining key monitor segments for an oil and gas pipeline according to claim 1, wherein said obtaining current population distribution data in each local area from a network operator comprises:
when the acquisition period is reached, the current population distribution data in each local area is acquired from the network operator.
6. An apparatus for determining the focal length of a monitored pipe segment of an oil and gas pipeline, the apparatus comprising:
the dividing module is used for dividing the region where the oil and gas pipeline to be detected is located to obtain a plurality of local regions;
the acquisition module is used for acquiring current population distribution data in each local area from a network operator;
the analysis module is used for obtaining the predicted population distribution data in each local area according to the current population distribution data and the historical population distribution data in each local area;
the analysis module is further used for determining the current population number and the predicted population number in each local area based on the current population distribution data in each local area and the predicted population distribution data in each local area;
the analysis module is further configured to determine local areas where the current population number and the predicted population number are greater than a target number as a current target local area and a predicted target local area, respectively;
and the determining module is used for determining the oil and gas pipe sections in the current target local area and the prediction target local area as a current key monitoring pipe section and a prediction key monitoring pipe section of the oil and gas pipeline respectively.
7. The apparatus for determining key monitor segments for an oil and gas pipeline of claim 6, wherein the partitioning module comprises an acquisition sub-module and a partitioning sub-module;
the acquisition submodule is used for acquiring the position information of the center line of the oil and gas pipeline;
the division submodule is used for dividing the area where the oil-gas pipeline to be detected is located based on the position information of the central line, a preset distance value, a preset length value and a preset distance value to obtain a plurality of local areas;
the preset distance value is a distance value between a boundary line of the local area, which is located on two sides of the central line, and the central line, the preset length value is a length value of the local area along the direction of the central line, and the preset distance value is a distance value between starting positions of two adjacent local areas.
8. The apparatus of claim 6, wherein the obtaining module is specifically configured to obtain, from a network operator, current population distribution data in an area where the oil and gas pipeline is located, and obtain the current population distribution data in each local area according to the location information of each local area and the current population distribution data.
9. The apparatus of claim 6, wherein the determining module is further configured to determine a condition between two adjacent important monitoring pipe segments, and if a non-important monitoring pipe segment exists between two adjacent important monitoring pipe segments and the length of the non-important monitoring pipe segment is not greater than a preset value, the non-important monitoring pipe segment is determined as the important monitoring pipe segment of the oil and gas pipeline.
10. The apparatus for determining key monitor segments for an oil and gas pipeline according to claim 6, wherein the acquisition module is specifically configured to acquire current population distribution data in each local area from a network operator when an acquisition period is reached.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114458967A (en) * | 2020-10-22 | 2022-05-10 | 中国石油化工股份有限公司 | Memory, oil and gas pipeline monitoring and early warning method, device and equipment |
CN117409374A (en) * | 2023-12-14 | 2024-01-16 | 深圳富联富桂精密工业有限公司 | Gate sentry management method, device, electronic equipment and computer readable storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090016308A1 (en) * | 2000-12-22 | 2009-01-15 | Terahop Networks, Inc. | Antenna in cargo container monitoring and security system |
CN103778514A (en) * | 2014-02-12 | 2014-05-07 | 西南石油大学 | Oil-gas pipeline high-consequence area identification system and identification method |
CN107844848A (en) * | 2016-09-20 | 2018-03-27 | ***通信集团湖北有限公司 | A kind of region flow of the people Forecasting Methodology and system |
CN108038151A (en) * | 2017-11-30 | 2018-05-15 | 国信优易数据有限公司 | A kind of monitoring area determines method and system |
CN108960049A (en) * | 2018-05-25 | 2018-12-07 | 中国石油天然气股份有限公司 | Method and device for identifying high back fruit zone of long oil and gas pipeline and storage medium |
CN109982559A (en) * | 2016-11-02 | 2019-07-05 | 益而得技术解决方案私人有限公司 | Control agricultural producing areas |
-
2020
- 2020-01-20 CN CN202010064591.4A patent/CN111310978A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090016308A1 (en) * | 2000-12-22 | 2009-01-15 | Terahop Networks, Inc. | Antenna in cargo container monitoring and security system |
CN103778514A (en) * | 2014-02-12 | 2014-05-07 | 西南石油大学 | Oil-gas pipeline high-consequence area identification system and identification method |
CN107844848A (en) * | 2016-09-20 | 2018-03-27 | ***通信集团湖北有限公司 | A kind of region flow of the people Forecasting Methodology and system |
CN109982559A (en) * | 2016-11-02 | 2019-07-05 | 益而得技术解决方案私人有限公司 | Control agricultural producing areas |
CN108038151A (en) * | 2017-11-30 | 2018-05-15 | 国信优易数据有限公司 | A kind of monitoring area determines method and system |
CN108960049A (en) * | 2018-05-25 | 2018-12-07 | 中国石油天然气股份有限公司 | Method and device for identifying high back fruit zone of long oil and gas pipeline and storage medium |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114458967A (en) * | 2020-10-22 | 2022-05-10 | 中国石油化工股份有限公司 | Memory, oil and gas pipeline monitoring and early warning method, device and equipment |
CN117409374A (en) * | 2023-12-14 | 2024-01-16 | 深圳富联富桂精密工业有限公司 | Gate sentry management method, device, electronic equipment and computer readable storage medium |
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