CN114881146B - Communication network-based terminal motion state identification method, device and storage medium - Google Patents

Communication network-based terminal motion state identification method, device and storage medium Download PDF

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CN114881146B
CN114881146B CN202210501882.4A CN202210501882A CN114881146B CN 114881146 B CN114881146 B CN 114881146B CN 202210501882 A CN202210501882 A CN 202210501882A CN 114881146 B CN114881146 B CN 114881146B
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CN114881146A (en
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唐建中
越海涛
乔献强
温庆芝
裴福平
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Shenzhen Mastercom Technology Corp
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a terminal motion state identification method, a device and a storage medium based on a communication network, belonging to the technical field of communication, wherein the method comprises the following steps: acquiring sampling data of a terminal in a communication network, wherein the sampling data comprises a plurality of records of different sampling points, and the records comprise the position of the sampling point uploaded by the terminal when the terminal moves to the corresponding sampling point and the corresponding uploading time; classifying the records according to the positions of sampling points and uploading time in each record to obtain first-class data and second-class data; according to the position of each recorded sampling point and uploading time in the first type of data, third type of data is obtained by grouping the first type of data; and determining the motion state of the terminal according to the first grouping characteristic information of the third class data and/or the second grouping characteristic information of the second class data. The invention aims to improve the accuracy of terminal motion state identification and realize accurate assessment of the motion trail and residence state of a position location terminal user.

Description

Communication network-based terminal motion state identification method, device and storage medium
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and apparatus for identifying a terminal motion state based on a communication network, and a storage medium.
Background
With the development of mobile communication technology, the demand for mobile communication networks is continuously increasing, and at the same time, the evaluation work of operators on network coverage quality is becoming more important.
At present, the existing network quality assessment work obtains sampling data through a terminal, groups the obtained sampling data and identifies the motion state of the terminal and distinguishes the use scene indoors and outdoors.
However, at present, the grouping rule of the sampling data and the recognition rule of the motion state of the terminal are compared on one side, and there is no method for accurately grouping the sampling data and recognizing the motion state of the terminal under various use scenes, so that the obtained motion recognition result of the terminal has deviation, and the accurate evaluation of the motion trail and the resident state of the position positioning terminal user is affected.
Disclosure of Invention
The invention mainly aims to provide a terminal motion state identification method, device and storage medium based on a communication network, aiming at improving the accuracy of terminal motion state identification and realizing accurate assessment of the motion trail and residence state of a position location terminal user.
In order to achieve the above object, the present invention provides a method for identifying a terminal motion state based on a communication network, the method for identifying a terminal motion state based on a communication network comprising the steps of:
Acquiring sampling data of a terminal in a communication network, wherein the sampling data comprises a plurality of records of different sampling points, and the records comprise sampling point positions and corresponding uploading time uploaded by the terminal when the terminal moves to the corresponding sampling point;
Classifying the records according to the positions of sampling points and uploading time in the records to obtain first-class data and second-class data, wherein the first position change range of the sampling points corresponding to the first-class data is larger than the second position change range of the sampling points corresponding to the second-class data;
Obtaining third-class data for the first-class data group according to the position and uploading time of each recorded sampling point in the first-class data, wherein the position change range of the sampling point corresponding to each group in the third-class data is smaller than the first position change range;
and determining the motion state of the terminal according to the first grouping characteristic information of the third class data and/or the second grouping characteristic information of the second class data.
Optionally, the first type of data includes a plurality of first sub-record sequences, records in the first sub-record sequences are arranged according to the sequence of uploading time, and the step of obtaining third type of data for the first type of data packet according to the sampling point position and uploading time of each record in the first type of data includes:
Grouping the first sub-record sequences according to the sampling point positions and the uploading time of each record in each first sub-record sequence to obtain a plurality of first sub-sequences and a plurality of second sub-sequences, wherein the third class of data comprises the plurality of first sub-sequences and the plurality of second sub-sequences;
Defining the record which is arranged at the forefront in each first subsequence as a start record and the record which is arranged at the last as an end record, wherein the distance between the sampling point position of the start record in each first subsequence and the sampling point positions of other records in the corresponding first subsequence is smaller than or equal to a first preset distance, and the time interval between the uploading time of the start record in each first subsequence and the uploading time of the corresponding end record is longer than a first preset duration.
Optionally, the step of classifying the plurality of records according to the sampling point position and the uploading time in each record to obtain the first type data and the second type data includes:
sequencing the records according to the sequence of uploading time of the records to obtain a record sequence;
Determining a plurality of first sub-recording sequences meeting a first preset condition in the recording sequence as the first type data, and determining a plurality of second sub-recording sequences not meeting the first preset condition in the recording sequence as the second type data;
The first preset condition comprises a first sub-condition and a second sub-condition, the first sub-condition comprises that the time interval of the uploading time corresponding to any two adjacent records in the corresponding sub-record sequence is smaller than or equal to a second preset duration and the distance between the corresponding sampling point positions is smaller than or equal to a second preset distance, the second sub-condition comprises that the number of records which meet the set condition in the corresponding sub-record sequence is larger than the first preset number, and the set condition is that the corresponding records are different from the sampling point positions of the adjacent records.
Optionally, the record includes base station information, the base station information is identification information of a communication base station accessed by the terminal when the record is uploaded, the records in the second type of data are arranged according to the sequence of the uploading time, and the step of determining the motion state of the terminal according to the first grouping characteristic information of the third type of data and/or the second grouping characteristic information of the second type of data includes:
grouping the second class data according to the uploading time and the base station information of each record in the second class data to obtain a plurality of third subsequences;
The time interval of the uploading time corresponding to any two adjacent records in the third subsequence is smaller than or equal to a third preset duration, the number of base stations corresponding to the third subsequence is smaller than or equal to a second preset number, and the number of base stations is counted according to the base station information in the record of the corresponding third subsequence;
and determining the motion state of the terminal according to the sub-grouping characteristic information corresponding to the third sub-sequences, wherein the second grouping characteristic information comprises the sub-grouping characteristic information.
Optionally, the step of determining the motion state of the terminal according to the sub-packet characteristic information corresponding to the third sub-sequences includes:
When the number of records included in the third subsequence is smaller than a third preset number, determining that the terminal is in an unknown state in a sampling time period corresponding to the third subsequence;
When the number of records included in the third subsequence is greater than or equal to the third preset number, the moving time corresponding to the third subsequence is greater than a fourth preset duration, and the corresponding moving range is smaller than a preset range, determining that the terminal is in a static state in a sampling time period corresponding to the third subsequence;
When the number of records included in the third sub-sequence is greater than or equal to the third preset number, if the movement time corresponding to the third sub-sequence is less than or equal to the fourth preset duration or the corresponding movement range is greater than or equal to the preset range, determining that the terminal is in a low-speed movement state in a sampling time period corresponding to the third sub-sequence;
the sub-grouping feature information includes the movement time and the movement range, wherein the movement time and the movement range are determined according to an uploading time and sampling points in the corresponding third sub-sequence.
Optionally, the record includes base station information, the base station information is identification information of a communication base station accessed by the terminal when the record is uploaded, the third class of data includes a plurality of sub-packets, and the step of determining the motion state of the terminal according to the first packet characteristic information of the third class of data and/or the second packet characteristic information of the second class of data includes:
When the sub-packet meets a second preset condition, determining that the terminal is in a high-speed motion state in a sampling time period corresponding to the sub-packet; the second preset condition includes that the maximum moving distance corresponding to the sub-packet is greater than a third preset distance and the corresponding average speed is greater than a first preset speed, or the second preset condition includes that the moving range corresponding to the sub-packet is greater than a preset range, the road occupation ratio corresponding to the sub-packet is greater than a preset value and the average speed corresponding to the sub-packet is greater than the first preset speed;
When the sub-packet meets a third preset condition, determining that the terminal is in a static state in a sampling time period corresponding to the sub-packet; the third preset condition includes that the movement range corresponding to the sub-group is smaller than or equal to the preset range, the corresponding average speed is smaller than or equal to the first preset speed, and the number of base stations corresponding to the sub-group is smaller than a fourth preset number;
when the sub-packet does not meet the second preset condition and the third preset condition, determining that the terminal is in a low-speed motion state in a sampling time period corresponding to the sub-packet;
The first grouping characteristic information comprises the number of base stations, the movement range, the maximum movement distance, the road duty ratio and the average speed, wherein the number of base stations is obtained through statistics according to base station information in corresponding sub-groups, and the movement range, the maximum movement distance, the road duty ratio and the average speed are all determined according to uploading time and sampling points in the corresponding sub-groups.
Optionally, the third type of data includes a plurality of sub-sequences, the records in each sub-sequence are arranged according to the sequence of the uploading time, and any two adjacent records in the sub-sequence are defined to be a first record and a second record in sequence, and before the step of determining the motion state of the terminal according to the first packet characteristic information of the third type of data and/or the second packet characteristic information of the second type of data, the method further includes:
determining the instantaneous speed and the movement direction of a terminal corresponding to each second record in the third type of data, wherein the instantaneous speed and the movement direction are determined according to the uploading time and the sampling point position of the corresponding first record and the second record;
Deleting the second record when the instantaneous speed of the second record is greater than a second preset speed and the included angle between the moving direction of the second record and the moving direction of the first record corresponding to the second record is within a preset angle range; the preset angle range has a maximum value and a minimum value.
Optionally, the step of acquiring the sampled data of the terminal in the communication network includes:
and acquiring MDT data and MME data of the terminal, wherein the sampling data comprises the MDT data and the MME data.
In order to achieve the above object, the present application also proposes an apparatus comprising: the method comprises the steps of a memory, a processor and a communication network-based terminal motion state identification program stored in the memory and capable of running on the processor, wherein the communication network-based terminal motion state identification program realizes the steps of the communication network-based terminal motion state identification method when being executed by the processor.
In order to achieve the above object, the present application further proposes a storage medium having stored thereon a communication network-based terminal motion state identification program which, when executed by a processor, implements the steps of the communication network-based terminal motion state identification method according to any one of the above.
According to the method, when the terminal in the communication network moves to different sampling points, the record comprising the position of the corresponding sampling point and the corresponding time is uploaded, the sampling data of the terminal is obtained, the sampling data are classified according to the position of the sampling point and the uploading time in the record, the first type data and the second type data are obtained, the first type data are further grouped to obtain the third type data with the relatively smaller position change range of the sampling point, the motion state of the terminal is determined according to the first grouping characteristic information of the third type data and/or the second grouping characteristic information of the second type data, compared with the grouping rule of the sampling data in the prior art, only the time and the position continuity are considered, the limitation of the position change range of the sampling point is added in the grouping rule, the sampling data can be more accurately grouped, the motion characteristic of the terminal is more accurately reflected, the accuracy of the recognition of the motion state of the terminal is improved, and the motion trail and the resident state of a position positioning terminal user are accurately estimated.
Drawings
FIG. 1 is a schematic diagram of a hardware architecture involved in the operation of an embodiment of the apparatus of the present invention;
Fig. 2 is a schematic flow chart of a first embodiment of a method for identifying a motion state of a terminal based on a communication network according to the present invention;
fig. 3 is a schematic flow chart of a second embodiment of a method for identifying a motion state of a terminal based on a communication network according to the present invention;
Fig. 4 is a schematic flow chart of a third embodiment of a method for identifying a motion state of a terminal based on a communication network according to the present invention;
Fig. 5 is a schematic flow chart of a fourth embodiment of a method for identifying a motion state of a terminal based on a communication network according to the present invention;
fig. 6 is a flowchart of a fifth embodiment of a method for identifying a motion state of a terminal based on a communication network according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The main solutions of the embodiments of the present invention are: acquiring sampling data of a terminal in a communication network, wherein the sampling data comprises a plurality of records of different sampling points, and the records comprise the sampling point positions and the corresponding uploading time uploaded by the terminal when the terminal moves to the corresponding sampling point; classifying the records according to the positions of sampling points and uploading time in the records to obtain first-class data and second-class data, wherein the first position change range of the sampling points corresponding to the first-class data is larger than the second position change range of the sampling points corresponding to the second-class data; obtaining third-class data for the first-class data group according to the position and uploading time of each recorded sampling point in the first-class data, wherein the position change range of the sampling point corresponding to each group in the third-class data is smaller than the first position change range; and determining the motion state of the terminal according to the first grouping characteristic information of the third class data and/or the second grouping characteristic information of the second class data.
In the prior art, the network quality evaluation work mainly acquires sampling data through a terminal, and performs terminal motion state recognition by grouping the acquired sampling data, and the grouping rule of the sampling data and the recognition rule of the terminal motion state are compared on one side, wherein the grouping rule only considers the continuity of time and position, and can not accurately perform grouping and recognize the motion state of the terminal under various use scenes, so that the acquired terminal motion recognition result has deviation and influences the accurate evaluation of the motion trail and the resident state of a position positioning terminal user.
The invention provides the solution, which aims to improve the accuracy of terminal motion state identification and realize accurate evaluation of the motion trail and residence state of a position positioning terminal user.
The embodiment of the invention provides a device.
In an embodiment of the present invention, referring to fig. 1, an apparatus includes: a processor 1001 (e.g., a CPU) and a memory 1002. The memory 1002 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1002 may alternatively be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the device structure shown in fig. 1 is not limiting of the device and may include more or fewer components than shown, or may be combined with certain components, or a different arrangement of components.
As shown in fig. 1, a terminal motion state identification program based on a communication network may be included in a memory 1002 as a computer-readable storage medium. In the apparatus shown in fig. 1, the processor 1001 may be configured to invoke a communication network-based terminal motion state recognition program stored in the memory 1002 and perform the relevant step operations of the communication network-based terminal motion state recognition method in the following embodiments.
The embodiment of the invention also provides a terminal motion state identification method based on the communication network, which is applied to the device.
Referring to fig. 2, a first embodiment of the terminal motion state recognition method based on the communication network of the present application is presented. In this embodiment, the method for identifying a terminal motion state based on a communication network includes:
Step S10, acquiring sampling data of a terminal in a communication network, wherein the sampling data comprises a plurality of records of different sampling points, and the records comprise the position of the sampling point and the corresponding uploading time uploaded by the terminal when the terminal moves to the corresponding sampling point;
the sampling data comprises a plurality of records uploaded by the terminal, and the records are specifically information of the current moment uploaded by the terminal when the terminal moves to a sampling point, and the information comprises the position of the sampling point and the time of the current moment when the terminal executes uploading operation. Further, the sampling point location includes longitude and latitude of the sampling point.
The method and the device provide basis for identifying the motion state of the terminal by acquiring the sampling data of the terminal in the communication network, and ensure the accuracy of identifying the motion state of the terminal.
Step S20, classifying the records according to the positions of sampling points and uploading time in the records to obtain first-class data and second-class data, wherein the first position change range of the sampling points corresponding to the first-class data is larger than the second position change range of the sampling points corresponding to the second-class data;
Specifically, the position change range of the sampling points is the range of sampling point distribution, and the movement range of the terminal can be represented. Further, the position change range of the first class data relative to the second class data sampling point is larger, the terminal is characterized in that the first class data moves in a larger range relative to the second class data within the sampling time period, and the terminal is characterized in the moving process and can be used as the recognition basis of the terminal in a high-speed motion state.
By classifying the records into the first type data and the second type data, the motion characteristics of the terminal under the two classification conditions are ensured to be more accurately determined, and the accuracy of identifying the motion state of the terminal is improved.
Step S30, obtaining third class data for the first class data packet according to the position and uploading time of each recorded sampling point in the first class data, wherein the position change range of the sampling point corresponding to each packet in the third class data is smaller than the first position change range;
specifically, the position change range of the third type of data relative to the first type of data sampling points is smaller, the first type of data is further grouped to obtain the third type of data, and the record that the sampling points are close in position in the record uploaded by the terminal when the terminal moves is characterized by being divided into a group, so that the record is divided into a plurality of partial areas.
It should be noted that the grouping of the third type of data is further subdivided based on the grouping of the first type of data. For example, records belonging to different packets in the first type of data, after the third type of data is obtained by further grouping, the records do not belong to the same group in the third type of data.
By adding the limitation of the position change range of the sampling point when the terminal moves, the sampling data can be more accurately and locally grouped, so that the motion characteristics of the terminal can be more accurately reflected, and the accuracy of identifying the motion state of the terminal is improved.
And step S40, determining the motion state of the terminal according to the first grouping characteristic information of the third class data and/or the second grouping characteristic information of the second class data.
The grouping characteristic information is specifically information representing the motion law of the terminal, is obtained through calculation according to the uploading time and the sampling point position, and can determine the motion law of the terminal, so that the motion state of the terminal in the corresponding sampling time period is determined. The motion state of the terminal is specifically divided into a high-speed motion state, a low-speed motion state, a static state and an unknown state, wherein the high-speed motion state, the low-speed motion state and the static state respectively represent that the terminal moves at a high speed, moves at a low speed and is static, and the unknown state represents that the state of the terminal cannot be determined.
And the motion state of the terminal is determined through the grouping characteristic information, so that the motion state of the terminal is ensured to be accurately determined, and the accuracy of the recognition of the motion state of the terminal is ensured.
According to the method, when the terminal in the communication network moves to different sampling points, the record comprising the position of the corresponding sampling point and the corresponding time is uploaded, the sampling data of the terminal is obtained, the sampling data are classified according to the position of the sampling point and the uploading time in the record, the first type data and the second type data are obtained, the first type data are further grouped to obtain the third type data with the relatively smaller position change range of the sampling point, the motion state of the terminal is determined according to the first grouping characteristic information of the third type data and/or the second grouping characteristic information of the second type data, compared with the grouping rule of the sampling data in the prior art, only the time and the position continuity are considered, the limitation of the position change range of the sampling point is added in the grouping rule, the sampling data can be more accurately grouped, the motion characteristic of the terminal is more accurately reflected, the accuracy of the recognition of the motion state of the terminal is improved, and the motion trail and the resident state of a position positioning terminal user are accurately estimated.
Further, in this embodiment, the step of obtaining the sampled data of the terminal in the communication network includes: and acquiring MDT data and MME data of the terminal, wherein the sampling data comprises the MDT data and the MME data.
Specifically, the MDT (MinimizationofDrive-Test, minimization of drive tests) data includes reporting time, current primary serving cell identity, user temporary identity, longitude and latitude. The MME data is specifically S1-MME XDR data, the S1-MME is specifically a control plane interface of a mobile management node function, and the XDR (Extended Detection and Response ) data comprises reporting time, a current primary serving cell identifier, a user temporary identifier and an international mobile subscriber identity number.
In the specific implementation, the two data are associated through the reporting time, the current main service cell identifier and the user temporary identifier, the association rule is that the current main service cell identifier and the user temporary identifier of the two data are matched, and the reporting time difference value of the two data is within a preset difference value. For example, the preset difference is 5 minutes. Matching MDT data and MME data can be obtained through association, and the international mobile subscriber identity number is backfilled to the MDT data.
The sampling data comprises a mixture of two data, the uploading time is the reporting time of MDT data, the sampling point position is the longitude and latitude of the MDT data, the terminal identification is the international mobile subscriber identification number, and the base station information is the current main serving cell identification.
It should be noted that there may be a plurality of terminals uploading the sampled data, the sampled data belonging to the same terminal may be determined according to the user temporary identifier, and the sampled data having the same user temporary identifier may be identified to determine the motion state of the corresponding terminal. The sampling data of the corresponding terminal can be accurately obtained by correlating the MDT data with the MME data, so that the accuracy of identifying the motion state of the terminal is ensured.
Further, based on the above embodiment, a second embodiment of the terminal motion state recognition method based on a communication network according to the present application is provided. In this embodiment, referring to fig. 3, the step of classifying the plurality of records according to the sampling point positions and the uploading time in each record to obtain the first type data and the second type data includes:
step S21, sequencing the records according to the sequence of uploading time of the records to obtain a record sequence;
the recording sequence refers to a plurality of records ordered according to a preset rule sequence, and in this embodiment, the preset rule is to order according to the uploading time of the records.
In specific implementation, the uploading time of a plurality of records is traversed, and time sequence ordering is performed according to the sequence of the uploading time. By time-sequentially ordering the plurality of records to provide a basis for classifying and grouping the records, or determining the terminal motion state identification, the efficiency of the classification, grouping and terminal motion state identification process is improved.
Step S22, determining a plurality of first sub-recording sequences meeting a first preset condition in the recording sequence as the first type data, and determining a plurality of second sub-recording sequences not meeting the first preset condition in the recording sequence as the second type data; the first preset condition comprises a first sub-condition and a second sub-condition, the first sub-condition comprises that the time interval of the uploading time corresponding to any two adjacent records in the corresponding sub-record sequence is smaller than or equal to a second preset duration and the distance between the corresponding sampling point positions is smaller than or equal to a second preset distance, the second sub-condition comprises that the number of records which meet the set condition in the corresponding sub-record sequence is larger than the first preset number, and the set condition is that the corresponding records are different from the sampling point positions of the adjacent records.
It should be noted that, the first sub-recording sequence and the second sub-recording sequence respectively identify sub-recording sequences in the recording sequence that satisfy the first preset condition and do not satisfy the first preset condition, and the records are not reordered; meanwhile, the first sub-recording sequence and the second sub-recording sequence are the results of grouping the recording sequences according to the first preset condition, each sub-recording sequence is a group, and a plurality of sub-recording sequences are a plurality of groups.
For example, the recording sequence includes recording with serial numbers 1 to 20, after the judgment of the first preset condition, it is determined that serial numbers 1 to 6 are first sub-recording sequences, serial numbers 7 to 11 are second sub-recording sequences, serial numbers 12 to 20 are first sub-recording sequences, the first sub-recording sequences and the second sub-recording sequences are arranged in a mixed mode, meanwhile, serial numbers 1 to 6 and serial numbers 12 to 20 belong to the first type of data, and serial numbers 7 to 11 belong to the second type of data.
Classifying the record sequence through a first preset condition to obtain first class data and second class data, providing a basis for further grouping the records, and ensuring the accuracy of identifying the motion state of the terminal.
Specifically, the limitation of the first sub-condition characterizes the continuity of time and position among records, and the records in the corresponding sampling period are uploaded by the terminal in a certain time period and a certain range; and recording continuous changes of corresponding sampling points in the limiting characterization sequence of the second sub-condition, wherein the terminal continuously moves in a corresponding sampling time period.
In specific implementation, by traversing records in a record sequence, defining a former record as a first record and a latter record as a second record in two adjacent records, determining whether a time interval of uploading time of the first record and the second record is smaller than or equal to a second preset duration, and whether a distance between corresponding sampling point positions of the first record and the second record is smaller than or equal to a second preset distance, dividing the first record and the second record into the same sub-record sequence when the first record and the second record are determined to be the same sub-record sequence, dividing the first record and the second record into different sub-record sequences when the second record and determining the next adjacent record until traversing is finished after the determination is completed, and obtaining a plurality of sub-record sequences; determining whether each sub-recording sequence comprises records with the number larger than a first preset number, wherein the number of the records meeting the set condition is different from the sampling point positions of the corresponding records and the adjacent records, when the corresponding records are determined to be yes, the corresponding sub-recording sequence is a first sub-recording sequence and belongs to the first type of data, and when the corresponding records are determined to be no, the corresponding sub-recording sequence is a second sub-recording sequence and belongs to the second type of data.
TABLE 1
Illustratively, referring to table 1, there are records of sequence numbers 1 to 11, and the values of the distances between the time intervals and the sampling point positions are each obtained by determining the corresponding record from the previous record, and the distance between the time intervals of the record of sequence number 1 and the sampling point positions is set to 0. The continuously different numbers of sampling point positions represent whether the sampling point position of the corresponding record is the same as the sampling point position of the previous record, count up by one when different, count reset to 0 when the same. The second preset duration is 2 minutes, the second preset distance is 3000 meters, and the first preset number is 6. According to the first preset condition, the first sub-recording sequences of the serial numbers 1 to 7, the second sub-recording sequence of the serial number 8 and the second sub-recording sequences of the serial numbers 9 to 11 can be obtained in a grouping mode. The terms of the table are used for illustration, and do not limit the content in the sampled data or record.
In this embodiment, by sorting, grouping and classifying the plurality of records, preliminary division is performed on the plurality of records, and a basis is provided for further grouping and determining motion characteristic information of the grouping, so that accuracy of identifying a motion state of the terminal is ensured.
Further, based on any one of the above embodiments, a third embodiment of the terminal motion state identification method based on a communication network according to the present application is provided. In this embodiment, the first type of data includes a plurality of first sub-record sequences, where records in the first sub-record sequences are arranged according to the sequence of uploading time. Based on this, referring to fig. 4, the step of obtaining third type data for the first type data packet according to the position of each recorded sampling point and the uploading time in the first type data includes:
Step S31, grouping the first sub-record sequences according to the sampling point positions and uploading time of each record in each first sub-record sequence to obtain a plurality of first sub-sequences and a plurality of second sub-sequences, wherein the third type of data comprises the plurality of first sub-sequences and the plurality of second sub-sequences; defining the record which is arranged at the forefront in each first subsequence as a start record and the record which is arranged at the last as an end record, wherein the distance between the sampling point position of the start record in each first subsequence and the sampling point positions of other records in the corresponding first subsequence is smaller than or equal to a first preset distance, and the time interval between the uploading time of the start record in each first subsequence and the uploading time of the corresponding end record is longer than a first preset duration.
Specifically, each first sub-record sequence is further grouped according to the sampling point position and the uploading time of each record of each first sub-record sequence in the first type data. It should be noted that, an indefinite number of first sub-sequences and second sub-sequences may be grouped in each first sub-recording sequence, and when each record in the first sub-recording sequence cannot meet the condition of forming the first sub-sequence, the first sub-recording sequence is determined to be the second sub-sequence; the third class of data comprises a plurality of first subsequences and second subsequences which are arranged in a mixed mode.
And defining the distribution range of sampling point positions corresponding to all records in the first sub-record sequence, dividing groups of sampling points distributed in a first preset distance range of the initial recording sampling points, wherein the records corresponding to the groups represent that the terminal continuously moves in the first preset distance range. For example, the first preset distance is 100 meters.
In specific implementation, defining a record with the earliest uploading time in a first sub-record sequence as a first record, sequentially determining whether the distance between the sampling point position of the second record and the sampling point position of the first record is smaller than or equal to a first preset distance or not according to the sequence of the first record, and judging the sampling point position distance of the third record when the distance is determined to be smaller than or equal to the first preset distance according to the sequence of the first record and the third record until the record is judged to be negative; for example, when it is determined that the distance between the sampling point position of the sixth record and the sampling point position of the first record is greater than a first preset distance, a time interval between uploading times of the first record and the fifth record is acquired, and when it is determined that the time interval is greater than a first preset duration, it is determined that the first record to the fifth record form a first subsequence; when the time interval is smaller than or equal to a first preset duration, determining that the first record to the fifth record form a second subsequence; the sixth record is set as the first record, and a judgment is made as to whether or not another first sub-sequence is formed for the sixth and subsequent records. For example, the first preset duration is 5 minutes.
In the embodiment, the position distribution of the sampling points is limited during further grouping, so that the sampling data can be more accurately and locally grouped, the motion characteristics of the terminal can be more accurately reflected, and the accuracy of identifying the motion state of the terminal is improved.
Further, based on any one of the above embodiments, a fourth embodiment of the terminal motion state identification method based on a communication network according to the present application is provided. In this embodiment, the record includes base station information, where the base station information is identification information of a communication base station to which the terminal accesses when uploading is correspondingly recorded, and the records in the second type of data are arranged according to the sequence of uploading time. Based on this, referring to fig. 5, step S40 includes:
step S41, when the number of records included in the third sub-sequence is smaller than a third preset number, determining that the terminal is in an unknown state in a sampling time period corresponding to the third sub-sequence;
step S42, when the number of records included in the third sub-sequence is greater than or equal to the third preset number, and the movement time corresponding to the third sub-sequence is greater than a fourth preset duration and the corresponding movement range is less than a preset range, determining that the terminal is in a stationary state in a sampling period corresponding to the third sub-sequence;
Step S43, when the number of records included in the third sub-sequence is greater than or equal to the third preset number, determining that the terminal is in a low-speed motion state in a sampling period corresponding to the third sub-sequence if the movement time corresponding to the third sub-sequence is less than or equal to the fourth preset duration or the corresponding motion range is greater than or equal to the preset range;
the sub-grouping feature information includes the movement time and the movement range, wherein the movement time and the movement range are determined according to an uploading time and sampling points in the corresponding third sub-sequence.
The identification information of the mobile communication base station accessed by the terminal when the corresponding record is uploaded is determined according to the recorded base station information, the base station identification information recorded in the sequence is counted and then de-duplicated, and the number of the base stations can be obtained. The distribution range of the sampling points can be defined by limiting the number of base stations in the sequence.
Specifically, the step of obtaining the motion range is to obtain the maximum longitude, the maximum latitude, the minimum longitude and the minimum latitude of the sampling point positions recorded in the corresponding sequence, and obtain the motion range according to the rectangle formed by the maximum longitude, the maximum latitude, the minimum longitude and the minimum latitude; the movement time is determined for the time interval between the earliest uploading time and the latest uploading time of each record in the corresponding sequence.
When the time interval of two adjacent records is smaller than or equal to a third preset time length, determining whether the previous record in the adjacent records is divided into a third subsequence, dividing the adjacent records into the same third subsequence when the adjacent records are not divided, determining whether base station information of a corresponding sequence of the previous record comprises base station information of a later record when the adjacent records are divided, dividing the adjacent records into the same sequence when the adjacent records are determined to be included, obtaining the number of base stations according to the base station information of the corresponding sequence of the previous record and the base station information of the later record when the adjacent records are not included, determining whether the number of the base stations is smaller than or equal to the second preset number, determining whether the adjacent records are divided into the same sequence when the adjacent records are not divided into different sequences. For example, the third preset duration is 120 minutes and the second preset number is 2.
And further grouping the second class data to obtain a plurality of third subsequences with similar motion characteristics, so as to ensure the accuracy of motion state identification of the terminal.
The record in the unknown state characterization sequence is insufficient to provide information for identifying the motion state of the terminal, and the motion state of the terminal in the corresponding sampling time period cannot be judged. The fourth preset duration is, for example, 0, the preset range is 200 meters, and the third preset number is 2.
In this embodiment, after the second class data is further grouped, a group which can better represent the motion state rule of the terminal is obtained, and the motion state of the terminal in the sampling time period corresponding to the second class data is identified according to the sub-group characteristic information, so that the accuracy of identifying the motion state of the terminal is improved.
Further, based on any one of the above embodiments, a fifth embodiment of the terminal motion state identification method based on a communication network according to the present application is provided. In this embodiment, the record includes base station information, where the base station information is identification information of a communication base station to which the terminal accesses during uploading of the corresponding record, and the third type of data includes a plurality of sub-packets. Based on this, referring to fig. 6, step S40 includes:
Step S44, when the sub-packet meets a second preset condition, determining that the terminal is in a high-speed motion state in a sampling time period corresponding to the sub-packet; the second preset condition includes that the maximum moving distance corresponding to the sub-packet is greater than a third preset distance and the corresponding average speed is greater than a first preset speed, or the second preset condition includes that the moving range corresponding to the sub-packet is greater than a preset range, the road occupation ratio corresponding to the sub-packet is greater than a preset value and the average speed corresponding to the sub-packet is greater than the first preset speed;
Step S45, when the sub-packet meets a third preset condition, determining that the terminal is in a static state in a sampling time period corresponding to the sub-packet; the third preset condition includes that the movement range corresponding to the sub-group is smaller than or equal to the preset range, the corresponding average speed is smaller than or equal to the first preset speed, and the number of base stations corresponding to the sub-group is smaller than a fourth preset number;
Step S46, when the sub-packet does not meet the second preset condition and the third preset condition, determining that the terminal is in a low-speed motion state in a sampling period corresponding to the sub-packet;
The first grouping characteristic information comprises the number of base stations, the movement range, the maximum movement distance, the road duty ratio and the average speed, wherein the number of base stations is obtained through statistics according to base station information in corresponding sub-groups, and the movement range, the maximum movement distance, the road duty ratio and the average speed are all determined according to uploading time and sampling points in the corresponding sub-groups.
The preset range is, for example, 200 meters, the preset value is 0.3, the third preset distance is 1000 meters, the first preset speed is 15km/h, and the fourth preset number is 2.
Specifically, the step of obtaining the maximum movement path is to traverse the distance between any two sampling point positions in the sequence and obtain the maximum movement path according to the maximum distance; in addition, the road duty ratio is obtained by dividing the maximum movement distance by the total movement distance, wherein the total movement distance is the sum of the distances between the corresponding sampling points of adjacent records in the sequence; the average speed is obtained by dividing the total movement distance by the movement time; the steps of obtaining the movement range and the movement time can be referred to the fourth embodiment, and will not be described herein.
And determining the motion parameters corresponding to the sequence according to the uploading time and the sampling point positions of each record in the sequence, and accurately determining the motion rule of the terminal in the sampling time period of the corresponding sequence according to the motion parameters, thereby improving the accuracy of identifying the motion state of the terminal.
In this embodiment, by acquiring the grouping feature information of the sequence and defining the grouping feature information, the motion feature of the terminal in the sampling time period corresponding to the sequence is accurately determined, the motion state of the terminal is identified, and the accuracy of identifying the motion state of the terminal is improved.
Further, based on any one of the above embodiments, the third type of data includes a plurality of sub-sequences, and records in each sub-sequence are arranged according to the sequence of the uploading time, and any two adjacent records in the sub-sequence are defined to be a first record and a second record in sequence. Before step S40, the method further includes:
Determining the instantaneous speed and the movement direction of a terminal corresponding to each second record in the third type of data, wherein the instantaneous speed and the movement direction are determined according to the uploading time and the sampling point position of the corresponding first record and the second record; deleting the second record when the instantaneous speed of the second record is greater than a second preset speed and the included angle between the moving direction of the second record and the moving direction of the first record corresponding to the second record is within a preset angle range; the preset angle range has a maximum value and a minimum value.
Specifically, the step of obtaining the instantaneous speed is to obtain the distance between the time interval of the uploading time of the second record and the first record and the position of the sampling point, and obtain the instantaneous speed according to the time and the distance, wherein the instantaneous speed is the instantaneous speed corresponding to the second record; and determining a movement direction according to the sampling points of the second record and the first record, wherein the movement direction is the movement direction corresponding to the second record. The second preset speed is, for example, 400km/h, the minimum value of the preset angle being 150 ° and the maximum value of the preset angle being 210 °.
By identifying and deleting records affecting the identification of the motion state of the terminal, the reliability of grouping characteristic information is improved, and the accuracy of the identification of the motion state of the terminal is improved.
In addition, the embodiment of the invention also provides a storage medium, wherein the storage medium stores a terminal motion state identification program based on a communication network, and the terminal motion state identification program based on the communication network realizes the relevant steps of any embodiment of the terminal motion state identification method based on the communication network when being executed by a processor.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.

Claims (6)

1. The method for identifying the terminal motion state based on the communication network is characterized by comprising the following steps of:
Acquiring sampling data of a terminal in a communication network, wherein the sampling data comprises a plurality of records of different sampling points, and the records comprise sampling point positions and corresponding uploading time uploaded by the terminal when the terminal moves to the corresponding sampling point;
sequencing the records according to the sequence of uploading time of the records to obtain a record sequence;
Determining a plurality of first sub-record sequences meeting a first preset condition in the record sequence as first type data, and determining a plurality of second sub-record sequences not meeting the first preset condition in the record sequence as second type data, wherein the first preset condition comprises a first sub-condition and a second sub-condition, the first sub-condition comprises that a time interval of uploading time corresponding to any two adjacent records in the corresponding sub-record sequences is smaller than or equal to a second preset duration and a distance between corresponding sampling point positions is smaller than or equal to a second preset distance, the second sub-condition comprises that the number of records containing the corresponding sub-record sequences meeting a set condition is larger than a first preset number, the set condition is that the positions of sampling points of the corresponding records and the adjacent records are different, and a first position change range of the sampling points corresponding to the first type data is larger than a second position change range of the sampling points corresponding to the second type data;
Grouping the first sub-record sequences according to the sampling point positions and the uploading time of each record in each first sub-record sequence to obtain a plurality of first sub-sequences and a plurality of second sub-sequences, wherein the third class of data comprises the plurality of first sub-sequences and the plurality of second sub-sequences, the first class of data comprises the plurality of first sub-record sequences, and the records in the first sub-record sequences are arranged according to the sequence of the uploading time;
Defining the record which is arranged at the forefront in each first subsequence as a start record and the record which is arranged at the last as an end record, wherein the distance between the sampling point position of the start record in each first subsequence and the sampling point positions of other records in the corresponding first subsequence is smaller than or equal to a first preset distance, the time interval between the uploading time of the start record in each first subsequence and the uploading time of the corresponding end record is longer than a first preset duration, and the position change range of the sampling points corresponding to each group in the third type of data is smaller than the first position change range;
Grouping the second class data according to the uploading time and the base station information of each record in the second class data, and obtaining a plurality of third subsequences, wherein the records comprise base station information, the base station information is identification information of a communication base station accessed by the terminal when the corresponding records are uploaded, the records in the second class data are arranged according to the sequence of the uploading time, the time interval of the uploading time corresponding to any two adjacent records in the third subsequences is smaller than or equal to a third preset duration, the number of the base stations corresponding to the third subsequences is smaller than or equal to a second preset number, and the number of the base stations is counted according to the base station information in the records of the corresponding third subsequences;
When the number of records included in the third subsequence is smaller than a third preset number, determining that the terminal is in an unknown state in a sampling time period corresponding to the third subsequence;
When the number of records included in the third subsequence is greater than or equal to the third preset number, the moving time corresponding to the third subsequence is greater than a fourth preset duration, and the corresponding moving range is smaller than a preset range, determining that the terminal is in a static state in a sampling time period corresponding to the third subsequence;
When the number of records included in the third sub-sequence is greater than or equal to the third preset number, if the movement time corresponding to the third sub-sequence is less than or equal to the fourth preset duration or the corresponding movement range is greater than or equal to the preset range, determining that the terminal is in a low-speed movement state in a sampling time period corresponding to the third sub-sequence, wherein the movement time and the movement range are determined according to the uploading time and the sampling point position in the corresponding third sub-sequence.
2. The method for identifying a motion state of a terminal based on a communication network according to claim 1, wherein the record includes base station information, the base station information is identification information of a communication base station to which the terminal accesses when the record is uploaded, the third class of data includes a plurality of sub-packets, and the step of determining the motion state of the terminal according to the first packet characteristic information of the third class of data and/or the second packet characteristic information of the second class of data includes:
When the sub-packet meets a second preset condition, determining that the terminal is in a high-speed motion state in a sampling time period corresponding to the sub-packet; the second preset condition includes that the maximum moving distance corresponding to the sub-packet is greater than a third preset distance and the corresponding average speed is greater than a first preset speed, or the second preset condition includes that the moving range corresponding to the sub-packet is greater than a preset range, the road occupation ratio corresponding to the sub-packet is greater than a preset value and the average speed corresponding to the sub-packet is greater than the first preset speed;
When the sub-packet meets a third preset condition, determining that the terminal is in a static state in a sampling time period corresponding to the sub-packet; the third preset condition comprises that the movement range corresponding to the sub-group is smaller than or equal to the preset range, the corresponding average speed is smaller than or equal to the first preset speed, and the number of base stations corresponding to the sub-group is smaller than a fourth preset number;
when the sub-packet does not meet the second preset condition and the third preset condition, determining that the terminal is in a low-speed motion state in a sampling time period corresponding to the sub-packet;
The first grouping characteristic information comprises the number of base stations, the movement range, the maximum movement distance, the road duty ratio and the average speed, wherein the number of base stations is obtained through statistics according to base station information in corresponding sub-groups, and the movement range, the maximum movement distance, the road duty ratio and the average speed are all determined according to uploading time and sampling points in the corresponding sub-groups.
3. The method for identifying a motion state of a terminal based on a communication network according to claim 2, wherein the third type of data includes a plurality of sub-sequences, records in each sub-sequence are arranged according to a sequence of uploading time, and any two adjacent records in the sub-sequence are defined as a first record and a second record in sequence, and before the step of determining the motion state of the terminal according to the first packet characteristic information of the third type of data and/or the second packet characteristic information of the second type of data, the method further includes:
determining the instantaneous speed and the movement direction of a terminal corresponding to each second record in the third type of data, wherein the instantaneous speed and the movement direction are determined according to the uploading time and the sampling point position of the corresponding first record and the second record;
Deleting the second record when the instantaneous speed of the second record is greater than a second preset speed and the included angle between the moving direction of the second record and the moving direction of the first record corresponding to the second record is within a preset angle range; the preset angle range has a maximum value and a minimum value.
4. A method for identifying a terminal motion state based on a communication network as claimed in any one of claims 1 to 3, wherein the step of acquiring the sampled data of the terminal in the communication network comprises:
and acquiring MDT data and MME data of the terminal, wherein the sampling data comprises the MDT data and the MME data.
5. An apparatus, the apparatus comprising: a memory, a processor and a communication network based terminal motion state identification program stored on the memory and executable on the processor, which when executed by the processor implements the steps of the communication network based terminal motion state identification method according to any one of claims 1 to 4.
6. A storage medium having stored thereon a communication network-based terminal motion state identification program which, when executed by a processor, implements the steps of the communication network-based terminal motion state identification method according to any one of claims 1 to 4.
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