CN115209342B - Subway driver identification method, system and readable storage medium - Google Patents
Subway driver identification method, system and readable storage medium Download PDFInfo
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Abstract
The invention discloses a subway driver identification method, a subway driver identification system and a readable storage medium, wherein the method comprises the following steps: acquiring subway line information, and acquiring base station information in a preset range centering on a subway line according to the subway line information; acquiring path data, and matching a base station in a preset range with the path data to obtain effective path information; extracting path points on the effective path, and calculating the average value of the distances from all the path points to the subway line; and judging whether the average value of the distances from all the path points to the subway lines is smaller than a first preset threshold value, and if so, indicating that the user of the corresponding path is a subway driver. According to the characteristics that a subway driver repeatedly reciprocates on a subway line, the moving path is fixed, the moving time is long, the base station is frequently switched, the residence time is short and the like, and the subway driver is more conveniently and effectively identified through big data analysis.
Description
Technical Field
The present application relates to the field of data analysis and data processing, and more particularly, to a subway driver identification method, system and readable storage medium.
Background
With the development of social economy, urban population is increased, the population flow is greatly increased to bring pressure to social traffic, and the problem of traffic jam is increased. In order to relieve traffic pressure, various metropolitan areas continuously develop and optimize urban public transportation, wherein subway traffic has own dedicated driving tracks and is not influenced by other vehicles, and the urban public transportation system has the advantages of being on time, fast in speed, comfortable, safe and the like, and is a main direction of the development of the urban public transportation. Although the subway realizes automatic driving, when a problem occurs in the running process of the subway, a subway driver is required to process, and therefore, the subway driver should be kept at the first line of the running of the subway at all times. At present, the method for collecting personal trip information comprises the following steps: monitoring cameras, paper information registration, field codes and the like, and are high in cost and complex in operation.
Accordingly, there is a need for improvements in the prior art for memory defects.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a subway driver recognition method, system and readable storage medium, which can recognize a subway driver more conveniently and more effectively.
1. The first aspect of the invention provides a subway driver identification method, which comprises the following steps:
1. obtaining subway line information;
according to the subway line information, base station information in a preset range centering on the subway line is obtained;
2. acquiring user path data information;
matching the base station in the preset range with the user path data to obtain an effective path;
extracting path points on the effective path, and calculating the average value of the distances from all the path points to the subway line;
and judging whether the average value of the distances from all the path points to the subway lines is smaller than a first preset threshold value, and if so, indicating that the user of the corresponding path is a subway driver.
In this scheme, still include:
acquiring subway running time information;
judging whether the path data is within the subway running time, if not, obtaining the path data as interference path data;
and deleting the interference path data.
In this scheme, still include:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a second preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
In this scheme, still include:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a third preset threshold value, if so, obtaining that the corresponding equipment is effective equipment;
and sending the data corresponding to the effective equipment to a server for storage.
In this scheme, still include:
acquiring frequency information of a base station switched by preset equipment in a preset time period;
judging whether the frequency of the base station switched by the preset equipment in the preset time period is larger than a fourth preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
In this scheme, still include:
acquiring coordinate point information of a preset equipment path and a subway line;
transmitting the coordinate point information to a preset calculation module for distance calculation to obtain average distance information from a preset equipment path to a subway line;
the average distance from the preset equipment path to the subway line is sent to a server for storage;
the preset computer module stores system software capable of calculating the distance according to the coordinate points.
2. The second aspect of the present invention provides a subway driver recognition system, comprising a memory and a processor, wherein the memory stores a subway driver recognition method program, and the subway driver recognition method program when executed by the processor realizes the following steps:
obtaining subway line information;
according to the subway line information, base station information in a preset range centering on the subway line is obtained;
acquiring user path data information;
matching the base station in the preset range with the user path data to obtain an effective path;
extracting path points on the effective path, and calculating the average value of the distances from all the path points to the subway line;
and judging whether the average value of the distances from all the path points to the subway lines is smaller than a first preset threshold value, and if so, indicating that the user of the corresponding path is a subway driver.
In this scheme, still include:
acquiring subway running time information;
judging whether the path data is within the subway running time, if not, obtaining the path data as interference path data;
and deleting the interference path data.
In this scheme, still include:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a second preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
In this scheme, still include:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a third preset threshold value, if so, obtaining that the corresponding equipment is effective equipment;
and sending the data corresponding to the effective equipment to a server for storage.
In this scheme, still include:
acquiring frequency information of a base station switched by preset equipment in a preset time period;
judging whether the frequency of the base station switched by the preset equipment in the preset time period is larger than a fourth preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
In this scheme, still include:
acquiring coordinate point information of a preset equipment path and a subway line;
transmitting the coordinate point information to a preset calculation module for distance calculation to obtain average distance information from a preset equipment path to a subway line;
the average distance from the preset equipment path to the subway line is sent to a server for storage;
the preset computer module stores system software capable of calculating the distance according to the coordinate points.
A third aspect of the present invention provides a computer-readable storage medium having embodied therein a subway driver identification method program which, when executed by a processor, implements the steps of a subway driver identification method as described in any of the above.
According to the subway driver identification method, system and readable storage medium, the subway driver is identified more conveniently and more effectively through big data analysis according to the characteristics of repeated round trip of the subway driver on a subway line, fixed moving path, long moving time, frequent base station switching, short residence time and the like.
Drawings
FIG. 1 shows a flow chart of a subway driver identification method of the present invention;
FIG. 2 is a schematic flow chart of a subway driver identification method in the invention;
fig. 3 shows a block diagram of a subway driver recognition system of the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments may be combined with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those described herein, and therefore the scope of the present invention is not limited to the specific embodiments disclosed below.
Fig. 1 shows a flowchart of a subway driver recognition method of the present invention.
As shown in fig. 1, the invention discloses a subway driver identification method, which comprises the following steps:
s102, subway line information is obtained;
s104, obtaining base station information in a preset range with the subway line as a center according to the subway line information;
s106, obtaining user path data information;
s108, matching the base station in the preset range with the user path data to obtain an effective path;
s110, extracting path points on an effective path, and calculating the average value of the distances from all the path points to the subway line;
and S112, judging whether the average value of the distances from all the path points to the subway lines is smaller than a first preset threshold value, and if so, indicating that the user of the corresponding path is a subway driver.
The subway line information includes information such as width and coordinate points of a subway line, the subway line information is sent to preset system software such as CAD to obtain a subway line virtual map, if the preset range is 500m, the center line of the subway line virtual map is taken as a reference line, 250m is extended to the outside of two sides to form a pipeline area, and all base stations in the pipeline area are recorded. The method comprises the steps that user path data are signaling data of all users in the preset area on the same day, for example, the preset area is A city, the signaling data of all users in the A city on the same day are extracted, the signaling data comprise mobile phone signaling data, telephone watch signaling data and other electronic product signaling data which can receive base station information and position the mobile phone signaling data, the signaling data are matched with base stations in a preset range, the signaling data which do not pass through the base stations in the preset range are deleted, the signaling data which pass through the base stations in the preset range are set as effective data, path points in the effective data are extracted, the path points are position points of the users in preset time, for example, the preset time is 3 minutes, the position points of the users at intervals of 3 minutes are acquired and are set as the path points, the path points of each user are connected, an effective path of the user is obtained, the distance average value between all the path points and a subway route is calculated, and if the first preset threshold value is 10m, and when the distance average value between the path points on the effective path is smaller than 10m, the effective path points are indicated to be subway drivers.
According to an embodiment of the present invention, further comprising:
acquiring subway running time information;
judging whether the path data is within the subway running time, if not, obtaining the path data as interference path data;
and deleting the interference path data.
It should be noted that, the subway running time has stationarity, for example, the running time of the subway is 6 a.m. to 11 a.m., if the path data and the subway running time have no intersection, the path data is determined to be the interference path data, and if the path data and the subway running time have intersection, the path data is determined to be within the subway running time, and the corresponding path data is determined to be the non-interference path data. For example, the a-path data is from 2 to 5 a.m., the b-path data is from 5 to 10 a.m., the c-path data is from 6 to 2 p.m., the a-path data is completely outside the subway running time, the a-path data is set as interference path data, and the b-path data and the c-path data are set as non-interference path data.
According to an embodiment of the present invention, further comprising:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a second preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
It should be noted that, the number of base stations is the number of times that the preset device passes through the base stations, each time the preset device passes through the base stations, the repeated base stations are accumulated, the preset device is an electronic product capable of recording signaling data, such as a mobile phone, a telephone watch, and the like, because the subway driver repeatedly reciprocates on a subway line, the base stations are frequently switched and the residence time is short, the number of base stations passed through the preset device corresponding to the subway driver is more, for example, the second preset threshold value is 600, when the number of base stations passed through the preset device is lower than or equal to 600, the corresponding device is an interference device, and the signaling data corresponding to the interference device is deleted.
According to an embodiment of the present invention, further comprising:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a third preset threshold value, if so, obtaining the equipment as effective equipment;
and sending the data corresponding to the effective equipment to a server for storage.
It should be noted that, the preset device is an electronic product capable of recording signaling data, such as a mobile phone, a telephone watch, and the like, the number of base stations is all non-repeated base stations, and because the subway line is long, the number of passing base stations is more, for example, the third preset threshold is 100, when the number of passing preset devices passing through different base stations exceeds 100, the device is an effective device, and data corresponding to the effective device is sent to a server for storage; when the number of base stations through which the preset device passes is less than or equal to 100, the device is an interference device, and data corresponding to the interference device is deleted.
According to an embodiment of the present invention, further comprising:
acquiring frequency information of a base station switched by preset equipment in a preset time period;
judging whether the frequency of the base station switched by the preset equipment in the preset time period is larger than a fourth preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
It should be noted that, according to the characteristics of fast subway traffic speed and short residence time, the frequency of the equipment switching base station corresponding to the subway driver is relatively large, and the frequency of the equipment switching base station is in a proportional relationship with time, i.e. the longer the time, the larger the frequency of the switching base station, for example, when the preset time is 5 minutes, the fourth preset threshold is 10; if the preset time is 10 minutes, the third preset threshold is 20, and if the signaling data of the d equipment is displayed: and if the number of the base stations passing through the time of 5 minutes is 12, d equipment is effective equipment, and data corresponding to the d equipment is sent to a server for storage.
According to an embodiment of the present invention, further comprising:
acquiring coordinate point information of a preset equipment path and a subway line;
transmitting the coordinate point information to a preset calculation module for distance calculation to obtain average distance information from a preset equipment path to a subway line;
the average distance from the preset equipment path to the subway line is sent to a server for storage;
the preset computer module stores system software capable of calculating the distance according to the coordinate points.
It should be noted that, coordinate point information of a preset equipment path and a subway line is sent to a preset computer model, a preset equipment path and a subway line virtual map of preset proportion is obtained through system software, if a path point on the preset equipment path is E, a straight line perpendicular to the subway line is led through the path point E, an intersection point is F, and a minimum distance D from the path point E on the preset equipment path to the subway line is:
wherein k is the ratio of a preset equipment path and a subway line virtual map in system software, χ E And y E X and Y coordinate points, χ, representing the path point E, respectively F And y F Represented as x and y coordinate points, respectively, of the intersection point F on the ground rail. The average distance d from the preset equipment path to the subway line is as follows: />
Wherein D is 1 Representing the shortest distance from a route point on a preset equipment route to a subway line, D n Representing the shortest distance from the nth route point on the preset equipment route to the subway route, and extracting the minimum average distance d min Will minimum average distance d min And the corresponding equipment is sent to the terminal for display.
According to an embodiment of the present invention, further comprising:
acquiring duplicate data information which is identical;
setting the duplicate data which are identical as redundant data;
and deleting the redundant data.
It should be noted that, there is a large amount of identical data in the signaling data, for example, a preset device receives multiple repeated signals of the same base station point in the same place, and the repeated signals do not cause errors to the checking result in the scheme, but the calculated amount in the scheme is increased, invalid calculation is increased, and resources are wasted.
According to an embodiment of the present invention, further comprising:
obtaining incomplete data information;
setting incomplete data information as invalid data;
and deleting the invalid data.
It should be noted that, since a great deal of noise is generated in social activities, particularly, when a subway passes through an underground passage in the running process, great interference is caused to signals, so that data with null field values exist in signaling data, for example: and causing blank pages of path data, path data dislocation and the like, and causing interference to the distance calculation in the later stage, so that the invalid data is deleted.
FIG. 2 is a schematic flow chart of a subway driver identification method in the invention;
as shown in fig. 2, the present invention extracts a base station in a preset direction centered on a subway line based on base station information, path data information and subway line information, matches the base station with the path data to obtain effective path data information, then performs first screening on the data, retains the path data in the subway running time, sets three index thresholds, performs second screening on the data, retains the path data greater than the threshold, draws a path of each device, calculates the shortest distance from each path point to the subway line, uses the average distance from all the path points as the similarity of two line paths, and finally judges whether the average distance from all the path points to the subway line is less than a first preset threshold, if so, indicates that the user of the corresponding path is a subway driver.
Fig. 3 shows a block diagram of a subway driver recognition system of the present invention.
As shown in fig. 3, a second aspect of the present invention provides a subway driver recognition system 3, including a memory 31 and a processor 32, wherein the memory stores a subway driver recognition method program, and the subway driver recognition method program when executed by the processor implements the steps of:
obtaining subway line information;
according to the subway line information, base station information in a preset range centering on the subway line is obtained;
acquiring user path data information;
matching the base station in the preset range with the user path data to obtain an effective path;
extracting path points on the effective path, and calculating the average value of the distances from all the path points to the subway line;
and judging whether the average value of the distances from all the path points to the subway lines is smaller than a first preset threshold value, and if so, indicating that the users of the corresponding paths are subway drivers.
The subway line information includes information such as width and coordinate points of a subway line, the subway line information is sent to preset system software such as CAD to obtain a subway line virtual map, if the preset range is 500m, the center line of the subway line virtual map is taken as a reference line, 250m is extended to the outside of two sides to form a pipeline area, and all base stations in the pipeline area are recorded. The method comprises the steps that user path data are signaling data of all users in the preset area on the same day, for example, the preset area is A city, the signaling data of all users in the A city on the same day are extracted, the signaling data comprise mobile phone signaling data, telephone watch signaling data and other electronic product signaling data which can receive base station information and position the mobile phone signaling data, the signaling data are matched with base stations in a preset range, the signaling data which do not pass through the base stations in the preset range are deleted, the signaling data which pass through the base stations in the preset range are set as effective data, path points in the effective data are extracted, the path points are position points of the users in preset time, for example, the preset time is 3 minutes, the position points of the users at intervals of 3 minutes are acquired and are set as the path points, the path points of each user are connected, an effective path of the user is obtained, the distance average value between all the path points and a subway route is calculated, and if the first preset threshold value is 10m, and when the distance average value between the path points on the effective path is smaller than 10m, the effective path points are indicated to be subway drivers.
According to an embodiment of the present invention, further comprising:
acquiring subway running time information;
judging whether the path data is within the subway running time, if not, obtaining the path data as interference path data;
and deleting the interference path data.
It should be noted that, the subway running time has stationarity, for example, the running time of the subway is 6 a.m. to 11 a.m., if the path data and the subway running time have no intersection, the path data is determined to be the interference path data, and if the path data and the subway running time have intersection, the path data is determined to be within the subway running time, and the corresponding path data is determined to be the non-interference path data. For example, the a-path data is from 2 to 5 a.m., the b-path data is from 5 to 10 a.m., the c-path data is from 6 to 2 p.m., the a-path data is completely outside the subway running time, the a-path data is set as interference path data, and the b-path data and the c-path data are set as non-interference path data.
According to an embodiment of the present invention, further comprising:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a second preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
It should be noted that, the number of base stations is the number of times that the preset device passes through the base stations, each time the preset device passes through the base stations, the repeated base stations are accumulated, the preset device is an electronic product capable of recording signaling data, such as a mobile phone, a telephone watch, and the like, because the subway driver repeatedly reciprocates on a subway line, the base stations are frequently switched and the residence time is short, the number of base stations passed through the preset device corresponding to the subway driver is more, for example, the second preset threshold value is 600, when the number of base stations passed through the preset device is lower than or equal to 600, the corresponding device is an interference device, and the signaling data corresponding to the interference device is deleted.
According to an embodiment of the present invention, further comprising:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a third preset threshold value, if so, obtaining the equipment as effective equipment;
and sending the data corresponding to the effective equipment to a server for storage.
It should be noted that, the preset device is an electronic product capable of recording signaling data, such as a mobile phone, a telephone watch, and the like, the number of base stations is all non-repeated base stations, and because the subway line is long, the number of passing base stations is more, for example, the third preset threshold is 100, when the number of passing preset devices passing through different base stations exceeds 100, the device is an effective device, and data corresponding to the effective device is sent to a server for storage; when the number of base stations through which the preset device passes is less than or equal to 100, the device is an interference device, and data corresponding to the interference device is deleted.
According to an embodiment of the present invention, further comprising:
acquiring frequency information of a base station switched by preset equipment in a preset time period;
judging whether the frequency of the base station switched by the preset equipment in the preset time period is larger than a fourth preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
It should be noted that, according to the characteristics of fast subway traffic speed and short residence time, the frequency of the equipment switching base station corresponding to the subway driver is relatively large, and the frequency of the equipment switching base station is in a proportional relationship with time, i.e. the longer the time, the larger the frequency of the switching base station, for example, when the preset time is 5 minutes, the fourth preset threshold is 10; if the preset time is 10 minutes, the third preset threshold is 20, and if the signaling data of the d equipment is displayed: and if the number of the base stations passing through the time of 5 minutes is 12, d equipment is effective equipment, and data corresponding to the d equipment is sent to a server for storage.
According to an embodiment of the present invention, further comprising:
acquiring coordinate point information of a preset equipment path and a subway line;
transmitting the coordinate point information to a preset calculation module for distance calculation to obtain average distance information from a preset equipment path to a subway line;
the average distance from the preset equipment path to the subway line is sent to a server for storage;
the preset computer module stores system software capable of calculating the distance according to the coordinate points.
It should be noted that, coordinate point information of a preset equipment path and a subway line is sent to a preset computer model, a preset equipment path and a subway line virtual map of preset proportion is obtained through system software, if a path point on the preset equipment path is E, a straight line perpendicular to the subway line is led through the path point E, an intersection point is F, and a minimum distance D from the path point E on the preset equipment path to the subway line is:
wherein k is the ratio of a preset equipment path and a subway line virtual map in system software, χ E And y E X and Y coordinate points, χ, representing the path point E, respectively F And y F Represented as x and y coordinate points, respectively, of the intersection point F on the ground rail. The average distance d from the preset equipment path to the subway line is as follows: />
Wherein D is 1 Representing the shortest distance from a route point on a preset equipment route to a subway line, D n Representing the shortest distance from the nth route point on the preset equipment route to the subway route, and extracting the minimum average distance d min Will minimum average distance d min And the corresponding equipment is sent to the terminal for display.
According to an embodiment of the present invention, further comprising:
acquiring duplicate data information which is identical;
setting the duplicate data which are identical as redundant data;
and deleting the redundant data.
It should be noted that, there is a large amount of identical data in the signaling data, for example, a preset device receives multiple repeated signals of the same base station point in the same place, and the repeated signals do not cause errors to the checking result in the scheme, but the calculated amount in the scheme is increased, invalid calculation is increased, and resources are wasted.
According to an embodiment of the present invention, further comprising:
obtaining incomplete data information;
setting incomplete data information as invalid data;
and deleting the invalid data.
It should be noted that, since a great deal of noise is generated in social activities, particularly, when a subway passes through an underground passage in the running process, great interference is caused to signals, so that data with null field values exist in signaling data, for example: and causing blank pages of path data, path data dislocation and the like, and causing interference to the distance calculation in the later stage, so that the invalid data is deleted.
A third aspect of the present invention provides a computer-readable storage medium having embodied therein a subway driver identification method program which, when executed by a processor, implements the steps of a subway driver identification method as described in any of the above.
The invention discloses a subway driver identification method, a subway driver identification system and a readable storage medium, wherein the method comprises the following steps: acquiring subway line information, and acquiring base station information in a preset range centering on a subway line according to the subway line information; acquiring path data information, and matching a base station in a preset range with path data to obtain an effective path; extracting path points on the effective path, and calculating the average value of the distances from all the path points to the subway line; and judging whether the average value of the distances from all the path points to the subway lines is smaller than a first preset threshold value, and if so, indicating that the user of the corresponding path is a subway driver. According to the characteristics that a subway driver repeatedly reciprocates on a subway line, the moving path is fixed, the moving time is long, the base station is frequently switched, the residence time is short and the like, and the subway driver is more conveniently and effectively identified through big data analysis.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above described device embodiments are only illustrative, e.g. the division of the units is only one logical function division, and there may be other divisions in practice, such as: multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. In addition, the various components shown or discussed may be coupled or directly coupled or communicatively coupled to each other via some interface, whether indirectly coupled or communicatively coupled to devices or units, whether electrically, mechanically, or otherwise.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units; can be located in one place or distributed to a plurality of network units; some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present invention may be integrated in one processing unit, or each unit may be separately used as one unit, or two or more units may be integrated in one unit; the integrated units may be implemented in hardware or in hardware plus software functional units.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the above method embodiments may be implemented by hardware related to program instructions, and the foregoing program may be stored in a computer readable storage medium, where the program, when executed, performs steps including the above method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk or an optical disk, or the like, which can store program codes.
Alternatively, the above-described integrated units of the present invention may be stored in a computer-readable storage medium if implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solutions of the embodiments of the present invention may be embodied in essence or a part contributing to the prior art in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, ROM, RAM, magnetic or optical disk, or other medium capable of storing program code.
Claims (10)
1. A subway driver identification method, comprising:
obtaining subway line information;
according to the subway line information, base station information in a preset range centering on the subway line is obtained;
acquiring user path data information;
matching the base station in the preset range with the user path data to obtain an effective path;
extracting path points on the effective path, and calculating the average value of the distances from all the path points to the subway line;
judging whether the average value of the distances from all the path points to the subway lines is smaller than a first preset threshold value, if so, indicating that the user of the corresponding path is a subway driver;
the user path data are signaling data of all users in a preset area on the same day;
the signaling data are electronic product signaling data which can receive base station information and position the base station information;
the signaling data are matched with the base stations in the preset range, the signaling data of the base stations which do not pass through the preset range are deleted, and the signaling data of the base stations which pass through the preset range are set as effective data;
extracting path points in effective data, wherein the path points are position points of a user in preset time;
and connecting the path points of each user to obtain the effective path of the user.
2. The subway driver identification method as set forth in claim 1, including:
acquiring subway running time information;
judging whether the path data is within the subway running time, if not, obtaining the path data as interference path data;
and deleting the interference path data.
3. The subway driver identification method as set forth in claim 1, including:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a second preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
4. The subway driver identification method as set forth in claim 1, including:
acquiring the number information of base stations through which preset equipment passes;
judging whether the number of base stations through which the preset equipment passes is larger than a third preset threshold value, if so, obtaining that the corresponding equipment is effective equipment;
and sending the data corresponding to the effective equipment to a server for storage.
5. The subway driver identification method as set forth in claim 1, including:
acquiring frequency information of a base station switched by preset equipment in a preset time period;
judging whether the frequency of the base station switched by the preset equipment in the preset time period is larger than a fourth preset threshold value, if not, obtaining that the corresponding equipment is interference equipment;
and deleting the data corresponding to the interference equipment.
6. The subway driver identification method as set forth in claim 1, including:
acquiring coordinate point information of a preset equipment path and a subway line;
transmitting the coordinate point information to a preset calculation module for distance calculation to obtain average distance information from a preset equipment path to a subway line;
the average distance from the preset equipment path to the subway line is sent to a server for storage;
the preset computer module stores system software capable of calculating the distance according to the coordinate points.
7. The subway driver identification system is characterized by comprising a memory and a processor, wherein a subway driver identification method program is stored in the memory, and the subway driver identification method program is executed by the processor to realize the following steps:
obtaining subway line information;
according to the subway line information, base station information in a preset range centering on the subway line is obtained;
acquiring user path data information;
matching the base station in the preset range with the user path data to obtain an effective path;
extracting path points on the effective path, and calculating the average value of the distances from all the path points to the subway line;
judging whether the average value of the distances from all the path points to the subway lines is smaller than a first preset threshold value, if so, indicating that the user of the corresponding path is a subway driver;
the user path data are signaling data of all users in a preset area on the same day;
the signaling data are electronic product signaling data which can receive base station information and position the base station information;
the signaling data are matched with the base stations in the preset range, the signaling data of the base stations which do not pass through the preset range are deleted, and the signaling data of the base stations which pass through the preset range are set as effective data;
extracting path points in effective data, wherein the path points are position points of a user in preset time;
and connecting the path points of each user to obtain the effective path of the user.
8. The subway driver identification system as set forth in claim 7, including:
acquiring subway running time information;
judging whether the path data is within the subway running time, if not, obtaining the path data as interference path data;
and deleting the interference path data.
9. The subway driver identification system as set forth in claim 7, including:
acquiring coordinate point information of a preset equipment path and a subway line;
transmitting the coordinate point information to a preset calculation module for distance calculation to obtain average distance information from a preset equipment path to a subway line;
the average distance from the preset equipment path to the subway line is sent to a server for storage;
the preset computer module stores system software capable of calculating the distance according to the coordinate points.
10. A computer-readable storage medium, characterized in that it contains therein a subway driver identification method program, which, when executed by a processor, implements the steps of a subway driver identification method according to any one of claims 1 to 6.
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| WO2021232586A1 (en) * | 2020-05-21 | 2021-11-25 | 平安国际智慧城市科技股份有限公司 | Dynamic planning-based ride-sharing trip organization method, device, apparatus, and storage medium |
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| CN108216252B (en) * | 2017-12-29 | 2019-12-20 | 中车工业研究院有限公司 | Subway driver vehicle-mounted driving behavior analysis method, vehicle-mounted terminal and system |
| CN108583592A (en) * | 2017-12-30 | 2018-09-28 | 西安市地下铁道有限责任公司 | A kind of subway service on buses or trains job information acquisition intelligent detecting method |
| CN112660207A (en) * | 2020-12-18 | 2021-04-16 | 南京学府睿捷信息科技有限公司 | Wearable subway intelligent auxiliary driving system |
| CN112686466B (en) * | 2021-01-12 | 2024-01-05 | 北京交通发展研究院 | Subway passenger path confirmation method and device |
| CN114422973B (en) * | 2022-03-30 | 2022-06-28 | 北京融信数联科技有限公司 | Internet taxi appointment driver intelligent identification method and system based on big data and readable storage medium |
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