Generation method and generation system of oil district digital highway network model

Abstract

The invention discloses a generation method and a generation system of an oil area digital road network model, and the generation method of the oil area digital road network model specifically comprises the steps: downloading public oil area existing road network model data as basic data, collecting on-site GPS track information by using an oil area vehicle, and storing the collected on-site GPS track information in a database; and generating oil area road network data according to the track information collected by the vehicle, fusing the basic data with the oil area road network data, and removing repeated data to obtain an oil area digital highway road network model. According to the method, the problem that the data of the self-built road at the tail end in the traditional road network data is missing is solved.

Description

Technical Field

[0001] The invention belongs to the technical field of road network generation, and in particular relates to a method for generating a digital highway network model in an oil region, and also relates to a system for generating a digital highway network model in an oil region. Background Art

[0002] The oilfield production area spans a large area and is widely distributed. The mining area is constantly expanding, and the number of wells is growing rapidly. Some operating areas patrol and manage thousands of wells, but the roads in the oilfield lack signposts. In emergency situations, there was no one to lead the way. Grassroots employees often worry about not being able to find newly commissioned well stations.

[0003] Although some units in the oil field have purchased, developed, and used applications based on the geographic information system on their own, most of the roads in the oil field are village roads or even dirt roads in the mountains, which are not marked on most systems. Therefore, the existing technology, whether it is a self-built system or professional navigation software such as Baidu Maps and Amap, cannot effectively solve the problem of grassroots employees being unable to find oil wells.

[0004] The basis of navigation is the road network model. If the road network model can cover oil wells, production and construction wells and other oil production and construction areas, navigation software can be used to accurately navigate to the destination.

[0005] Due to the needs of production and construction in oil fields, there are a large number of self-built dirt roads on site. However, because oil fields are usually located in remote areas, road data in these areas are not collected and updated in a timely manner, resulting in the problem of missing data for the self-built roads at the end. Summary of the invention

[0006] The purpose of the present invention is to provide a method for generating a digital highway network model in an oilfield, thereby solving the problem of missing self-built road data at the end of traditional road network data.

[0007] Another object of the present invention is to provide a system for generating a regional digital highway network model.

[0008] The technical solution adopted by the present invention is a method for generating a digital highway network model of an oil field. The specific process is: downloading the existing road network model data of the public oil field as basic data, then using oil field vehicles to collect on-site GPS trajectory information, generating oil field road network data according to the trajectory information collected by the vehicles, merging the basic data with the oil field road network data, and removing duplicate data to obtain a digital highway network model of the oil field.

[0009] The present invention is also characterized in that:

[0010] Follow the steps below to implement it:

[0011] Step 1, download the existing road network model of the oil field from the Internet as basic data;

[0012] Step 2, each oil field vehicle is equipped with a GPS module, the location information of the oil field vehicle 1 is obtained through the GPS module, and the location information is stored;

[0013] Step 3, providing a network through the GPRS module, the GPRS module sends the location information obtained in step 2 to the server through the vehicle GPS data acquisition module, and at the same time sends the license plate number of the oil field vehicle 1 and the acquisition time of the vehicle location information to the server through the vehicle GPS data acquisition module;

[0014] Step 4, the server collects and stores the vehicle location information, the license plate number of the oil field vehicle 1, and the collection time of the vehicle location information in a database;

[0015] Step 5: All vehicle location information stored in the database is stored in correspondence with the license plate number, and the vehicle location information corresponding to each license plate number is sorted in order from early to late according to the collection time, and the sorted vehicle location information of each license plate number is connected, and the connected vehicle location information is formed into trajectory line information through the vehicle driving trajectory generation module, and different trajectory line information is formed on different dates, and then the trajectory line information is converted into new road data through the vehicle trajectory conversion module;

[0016] Step 6, spatially reference and coordinate transform the new road data obtained in step 5 and the basic data obtained in step 1, so that the new road data and the basic data are in the same coordinate system, then match the nodes on the new road data with the line segments on the basic data to find the same points, then connect each node belonging to different points after matching with the point closest to it to form a new line segment, then spatially superimpose and fuse the new line segments according to the geometric shape of the road, and combine the fused roads together through the road to road network module to form new initial road network data;

[0017] Step 7, interrupting the intersections of all line segments in the new initial road network data to form intersection data;

[0018] Step 8, performing de-duplication and merging processing on the new initial road network data;

[0019] Step 9, creating a topological structure based on the data processed in steps 7 and 8 to form a digital highway network model of the oilfield.

[0020] In step 6, the process of matching the nodes on the new road data with the line segments on the basic data to find the same points is as follows: calculating the distance between each node on the new road data and the endpoints of the line segments on all the basic data; if the distance is less than a set threshold, it is determined that the node on the new road data and the endpoints of the line segments on the basic data are the same point; if the distance is greater than the set threshold, it is considered that the node on the new road data and the endpoints of the line segments on the basic data are different points.

[0021] The specific process of step 7 is: calculate the distance between all line segments in the new initial road network data. If the distance between any two line segments is less than the set tolerance distance, it is considered that the two line segments have the same point. If the distance between the same point and the intersection of any two line segments is greater than the set tolerance distance, the same point is determined to be an intersection, and the intersection position is interrupted to become two connected line segments to form intersection data.

[0022] The specific process of step 8 is: read the new initial road network data and intersection data into the memory, determine the overlapping geographical elements and the touching geographical elements according to the intersection information determined in step 7, calculate the minimum distance between the two overlapping geographical elements and the minimum distance between the two touching geographical elements respectively, if the minimum distance is less than the set tolerance distance, it is determined to be the same element and merged.

[0023] The calculation process for the minimum distance between two overlapping geographic features and the minimum distance between two touching geographic features is: take a pair of points every 0.1 meters between the two geographic features to calculate the distance, and take the average of all distances as the minimum distance.

[0024] Overlapping geographic features refer to several continuous intersections; touching geographic features refer to one intersection or discontinuous intersections.

[0025] The specific process of step 9 is as follows: assign a unique ID to each line segment in the new initial road network data processed by steps 7 and 8, take the vertices of all line segments as nodes, assign a one-dimensional ID to each node, calculate the distance between all nodes, if the distance is less than the tolerance limit value, determine that the two nodes are the same point and the two line segments are connected, if the starting point and end point of the two line segments are the same, determine that the two line segments are the same line segments, randomly delete one of them, if the starting point and end point of the two line segments are different but connected, then record the connection relationship, loop to calculate the distance of all nodes, complete the operation of deleting or recording the connection relationship, and finally store the line segments and nodes in different tables respectively, complete the creation of the topological relationship, and form the digital highway network model of the oil field.

[0026] Another technical solution adopted by the present invention is:

[0027] The system for generating a digital highway network model of an oilfield includes: an oilfield vehicle, which is used to travel between the oilfield and various destinations; a GPS module, which is mounted on the oilfield vehicle and is used to obtain the location information of the oilfield vehicle at different times; a GPRS module, which is used to provide a 2G network so that the location information, the license plate number, and the acquisition time of the vehicle location information are sent to a server; the server is used to collect and store the vehicle location information, the license plate number of the oilfield vehicle 1, and the acquisition time of the vehicle location information in a database; a vehicle driving trajectory generation module, which is used to form trajectory line information from the vehicle location information; a vehicle trajectory to road module, which is used to convert the formed trajectory line information into new road data; a road to road network module, which is used to form new initial road network data; and a data processing module, which is used to interrupt, remove duplicates, and merge the new initial road network data to create a topological structure and form a digital highway network model of the oilfield.

[0028] The present invention is also characterized in that:

[0029] The vehicle driving trajectory generation module is used to sort the vehicle position information corresponding to each license plate number in the order of collection time from early to late, connect the sorted vehicle position information of each license plate number, and form trajectory line information with the connected vehicle position information;

[0030] The road-to-road network module is used to spatially reference and coordinate-convert the new road data with the basic data, so that the new road data and the basic data are in the same coordinate system. The nodes on the new road data are then matched with the line segments on the basic data to find the same points. Each node belonging to a different point after matching is then connected to the point closest to it to form a new line segment. The new line segments are then spatially superimposed and fused according to the geometric shape of the road through the QGIS software, and the fused roads are combined together to form new initial road network data.

[0031] The beneficial effect of the present invention is that the present invention combines the existing road network basic data with the vehicle trajectory data of the oil field to obtain the digital highway network model of the oil field, and provides road basic data for internal navigation, production and construction in the oil field. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of a digital highway network model of an oil region formed by processing new road data and basic data in the method for generating a digital highway network model of an oil region of the present invention;

[0033] Figure 2 It is a schematic diagram for comparing the basic data in Example 3 of the present invention with the digital highway network model of the oil region. DETAILED DESCRIPTION

[0034] The present invention is described in detail below with reference to the accompanying drawings and specific embodiments.

[0035] Example 1

[0036] The method for generating the digital highway network model of the oil region of the present invention is as follows: Figure 1 As shown in the figure, the specific process is: download the existing road network model data of the public oil field as the basic data, then use the oil field vehicles to collect the on-site GPS trajectory information, generate the oil field road network data according to the trajectory information collected by the vehicles, merge the basic data with the oil field road network data, remove duplicate data, and obtain the digital highway network model of the oil field.

[0037] Example 2

[0038] The method for generating the oilfield digital highway network model of the present invention is specifically implemented according to the following steps:

[0039] Step 1, download the existing road network model of the oil field from the Internet as basic data;

[0040] Step 2, each oil field vehicle is equipped with a GPS module, the location information of the oil field vehicle 1 is obtained through the GPS module, and the location information is stored;

[0041] Step 3, providing a network through the GPRS module, the GPRS module sends the location information obtained in step 2 to the server through the vehicle GPS data acquisition module, and at the same time sends the license plate number of the oil field vehicle 1 and the acquisition time of the vehicle location information to the server through the vehicle GPS data acquisition module;

[0042] If you encounter a section without network, such as a tunnel, the GPS location information will be sent to the server when the signal is restored;

[0043] Step 4, the server collects and stores the vehicle location information, the license plate number of the oil field vehicle 1, and the collection time of the vehicle location information in a database;

[0044] Step 5: All vehicle location information stored in the database is stored in correspondence with the license plate number, and the vehicle location information corresponding to each license plate number is sorted in order from early to late according to the collection time, and the sorted vehicle location information of each license plate number is connected, and the connected vehicle location information is formed into trajectory line information through the vehicle driving trajectory generation module, and different trajectory line information is formed on different dates, and then the trajectory line information is converted into new road data through the vehicle trajectory conversion module;

[0045] The process of converting the trajectory information into a new road by the vehicle trajectory conversion module is the process of deduplication of trajectory information. For example, the oil field vehicle 1 starts from the oil field to the destination and returns from the destination to the oil field, which is two trajectory information. However, these two trajectory information are duplicate information. Then, the vehicle trajectory conversion module is used to remove the duplicate trajectory information and only retain one trajectory information. The retained trajectory information is the new road data.

[0046] Step 6: The new road data obtained in step 5 and the basic data obtained in step 1 are spatially referenced and coordinate converted by QGIS software, so that the new road data and the basic data are in the same coordinate system. Then, the nodes on the new road data (the points constituting the line segments of the new road data are nodes) are matched with the line segments on the basic data to find the same points. Then, each node belonging to different points after matching is connected to the point closest to it to form a new line segment. Then, the new line segment is spatially superimposed and fused according to the geometric shape of the road by QGIS software. The fused roads are combined together through the road to road network module to form new initial road network data.

[0047] The process of matching the nodes on the new road data with the line segments on the basic data to find the same points is as follows: calculating the distance between each node on the new road data and the endpoints of the line segments on all the basic data; if the distance is less than a set threshold, the node on the new road data and the endpoints of the line segments on the basic data are considered to be the same point (the same point); if the distance is greater than the set threshold, the node on the new road data and the endpoints of the line segments on the basic data are considered to be different points;

[0048] Step 7, interrupting the intersections of all line segments in the new initial road network data to form intersection data;

[0049] The specific process is as follows: the distance between all line segments in the new initial road network data is calculated. If the distance between any two line segments is less than the set tolerance distance (0.001 meters), it is considered that the two line segments have the same point. If the distance between the same point and the intersection of any two line segments is greater than the set tolerance distance (0.001 meters), the same point is determined to be an intersection point, and the intersection point position is interrupted to become two connected line segments to form intersection data;

[0050] Step 8, performing de-duplication and merging processing on the new initial road network data;

[0051] The specific process is as follows: read the new initial road network data and intersection data into the memory, determine the overlapping geographical elements and the touching geographical elements according to the intersection information determined in step 7, calculate the minimum distance between the two overlapping geographical elements and the minimum distance between the two touching geographical elements respectively, if the minimum distance is less than the set tolerance distance (5 meters), it is determined to be the same element and merged;

[0052] The calculation process of the minimum distance between two overlapping geographic elements and the minimum distance between two touching geographic elements is as follows: a pair of points are selected every 0.1 meters between the two geographic elements to calculate the distance, and the average value of all distances is taken as the minimum distance;

[0053] Overlapping geographical features refer to a number of continuous intersections; touching geographical features refer to a single intersection or discontinuous intersections;

[0054] Step 9, creating a topological structure based on the data processed in Steps 7 and 8 to form a digital highway network model of the oilfield;

[0055] The specific process is as follows: assign a unique ID to each line segment in the new initial road network data processed by steps 7 and 8, take the vertices of all line segments as nodes, assign a one-dimensional ID to each node, calculate the distance between all nodes, and if the distance is less than the tolerance limit value, determine that the two nodes are the same point and the two line segments are connected. If the starting point and end point of the two line segments are the same, determine that the two line segments are the same line segments, and randomly delete one of them. If the starting point and end point of the two line segments are different but connected, record the connection relationship, loop to calculate the distance of all nodes, complete the operation of deleting or recording the connection relationship, and finally store the line segments and nodes in different tables respectively, complete the creation of the topological relationship, and form the digital highway network model of the oil field.

[0056] Example 3

[0057] The system for generating the digital highway network model of the oil region of the present invention comprises:

[0058] Oilfield vehicles, used to travel between the oilfields and various destinations;

[0059] GPS module, mounted on oil field vehicles, is used to obtain the location information of oil field vehicles at different times;

[0060] GPRS module, used to provide 2G network, so that the location information, license plate number, and acquisition time of vehicle location information can be sent to the server;

[0061] The server is used to collect and store vehicle location information, the license plate number of vehicle 1 in the oil storage area, and the collection time of the vehicle location information in a database. All vehicle location information stored in the database is stored correspondingly according to the license plate number;

[0062] The vehicle driving trajectory generation module is used to sort the vehicle position information corresponding to each license plate number in the order of collection time from early to late, connect the sorted vehicle position information of each license plate number, and form trajectory line information with the connected vehicle position information;

[0063] The vehicle trajectory to road module is used to convert the formed trajectory line information into new road data after deduplication;

[0064] The road-to-road network module is used to spatially reference and coordinate-convert the new road data with the basic data, so that the new road data and the basic data are in the same coordinate system, and then match the nodes on the new road data with the line segments on the basic data to find the same points, and then connect each node belonging to different points after matching to the point closest to it to form a new line segment. The new line segments are spatially superimposed and fused according to the geometric shape of the road through QGIS software, and the fused roads are combined to form the new initial road network data;

[0065] The data processing module is used to interrupt the intersections of all line segments in the new initial road network data to form intersection data, and to remove overlaps and merge the new initial road network data to create a topological structure to form a digital highway network model of the oil field.

[0066] Example 4

[0067] like Figure 2 As shown, the roads marked with "□" in the figure are public basic data downloaded from the Internet, and the lines represent the location information collected by vehicles in the oil field. The digital highway network model of the oil field obtained by the method of the present invention shows that the basic road model covers the main roads and does not include the last section of the road connected to the oil well platform, while the digital highway network model of the oil field obtained by the present invention can cover the main roads and the oil well platform directly to the terminal road.

Claims

1. A method for generating a digital highway network model in an oilfield, characterized in that: The specific process is: download the existing road network model data of the public oil field as the basic data, then use the oil field vehicles to collect on-site GPS trajectory information, generate the oil field road network data according to the trajectory information collected by the vehicles, merge the basic data with the oil field road network data, remove duplicate data, and obtain the digital highway network model of the oil field.

2. The method for generating a digital highway network model in an oil region according to claim 1, characterized in that: Follow the steps below to implement it: Step 1, download the existing road network model of the oil field from the Internet as basic data; Step 2, each oil field vehicle is equipped with a GPS module, the location information of the oil field vehicle 1 is obtained through the GPS module, and the location information is stored; Step 3, providing a network through the GPRS module, the GPRS module sends the location information obtained in step 2 to the server through the vehicle GPS data acquisition module, and at the same time sends the license plate number of the oil field vehicle 1 and the acquisition time of the vehicle location information to the server through the vehicle GPS data acquisition module; Step 4, the server collects and stores the vehicle location information, the license plate number of the oil field vehicle 1, and the collection time of the vehicle location information in a database; Step 5: All vehicle location information stored in the database is stored in correspondence with the license plate number, and the vehicle location information corresponding to each license plate number is sorted in order from early to late according to the collection time, and the sorted vehicle location information of each license plate number is connected, and the connected vehicle location information is formed into trajectory line information through the vehicle driving trajectory generation module, and different trajectory line information is formed on different dates, and then the trajectory line information is converted into new road data through the vehicle trajectory conversion module; Step 6, spatially reference and coordinate transform the new road data obtained in step 5 and the basic data obtained in step 1, so that the new road data and the basic data are in the same coordinate system, then match the nodes on the new road data with the line segments on the basic data to find the same points, then connect each node belonging to different points after matching with the point closest to it to form a new line segment, then spatially superimpose and fuse the new line segments according to the geometric shape of the road, and combine the fused roads together through the road to road network module to form new initial road network data; Step 7, interrupting the intersections of all line segments in the new initial road network data to form intersection data; Step 8, performing de-duplication and merging processing on the new initial road network data; Step 9, creating a topological structure based on the data processed in steps 7 and 8 to form a digital highway network model of the oilfield.

3. The method for generating a digital highway network model in an oil region according to claim 2, characterized in that: In step 6, the process of matching the nodes on the new road data with the line segments on the basic data to find the same points is as follows: calculating the distance between each node on the new road data and the endpoints of the line segments on all the basic data; if the distance is less than a set threshold, it is determined that the node on the new road data and the endpoints of the line segments on the basic data are the same point; if the distance is greater than the set threshold, it is considered that the node on the new road data and the endpoints of the line segments on the basic data are different points.

4. The method for generating a digital highway network model in an oil region according to claim 2, characterized in that: The specific process of step 7 is: calculate the distance between all line segments in the new initial road network data. If the distance between any two line segments is less than the set tolerance distance, it is considered that the two line segments have the same point. If the distance between the same point and the intersection of any two line segments is greater than the set tolerance distance, the same point is determined to be an intersection, and the intersection position is interrupted to become two connected line segments to form intersection data.

5. The method for generating a digital highway network model in an oil region according to claim 2, characterized in that: The specific process of step 8 is: read the new initial road network data and intersection data into the memory, determine the overlapping geographical elements and the touching geographical elements according to the intersection information determined in step 7, calculate the minimum distance between the two overlapping geographical elements and the minimum distance between the two touching geographical elements respectively, if the minimum distance is less than the set tolerance distance, it is determined to be the same element and merged.

6. The method for generating a digital highway network model in an oil region according to claim 5, characterized in that: The calculation process for the minimum distance between two overlapping geographic features and the minimum distance between two touching geographic features is: take a pair of points every 0.1 meters between the two geographic features to calculate the distance, and take the average of all distances as the minimum distance.

7. The method for generating a digital highway network model in an oil region according to claim 5, characterized in that: Overlapping geographic features refer to several continuous intersections; touching geographic features refer to one intersection or discontinuous intersections.

8. The method for generating a digital highway network model in an oil region according to claim 2, characterized in that: The specific process of step 9 is as follows: assign a unique ID to each line segment in the new initial road network data processed by steps 7 and 8, take the vertices of all line segments as nodes, assign a one-dimensional ID to each node, calculate the distance between all nodes, if the distance is less than the tolerance limit value, determine that the two nodes are the same point and the two line segments are connected, if the starting point and end point of the two line segments are the same, determine that the two line segments are the same line segments, randomly delete one of them, if the starting point and end point of the two line segments are different but connected, then record the connection relationship, loop to calculate the distance of all nodes, complete the operation of deleting or recording the connection relationship, and finally store the line segments and nodes in different tables respectively, complete the creation of the topological relationship, and form the digital highway network model of the oil field.

9. The system for generating the digital highway network model in the oilfield is characterized by: include: Oilfield vehicles, traveling between the oilfields and various destinations; GPS module, mounted on oil field vehicles, is used to obtain the location information of oil field vehicles at different times; GPRS module, used to provide 2G network, so that the location information, license plate number, and acquisition time of vehicle location information can be sent to the server; The server is used to collect and store the vehicle location information, the license plate number of the vehicle 1 in the oil storage area, and the collection time of the vehicle location information in a database; The vehicle driving trajectory generation module is used to convert the vehicle position information into trajectory line information; the vehicle trajectory conversion module is used to convert the formed trajectory line information into new road data; the road conversion module is used to form new initial road network data; The data processing module is used to interrupt, remove duplicates and merge the new initial road network data, create a topological structure, and form a digital highway network model for the oil field.

10. The system for generating a digital highway network model in an oil region according to claim 9, characterized in that: The vehicle driving trajectory generation module is used to sort the vehicle position information corresponding to each license plate number in the order of collection time from early to late, connect the sorted vehicle position information of each license plate number, and form trajectory line information with the connected vehicle position information; The road-to-road network module is used to spatially reference and coordinate-convert the new road data with the basic data, so that the new road data and the basic data are in the same coordinate system. The nodes on the new road data are then matched with the line segments on the basic data to find the same points. Each node belonging to a different point after matching is then connected to the point closest to it to form a new line segment. The new line segments are then spatially superimposed and fused according to the geometric shape of the road through the QGIS software, and the fused roads are combined together to form new initial road network data.

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