CN115038031A

CN115038031A - Abnormal position information determining method, abnormal position information determining device and storage medium

Info

Publication number: CN115038031A
Application number: CN202110247071.1A
Authority: CN
Inventors: 郭芸; 方桂庚; 张建明
Original assignee: Shanghai Datang Mobile Communications Equipment Co ltd
Current assignee: Shanghai Datang Mobile Communications Equipment Co ltd
Priority date: 2021-03-05
Filing date: 2021-03-05
Publication date: 2022-09-09

Abstract

The embodiment of the application provides an abnormal position information determining method, an abnormal position information determining device and a storage medium, wherein the method comprises the following steps: sorting the location information based on a temporal order of the location information of the target device; determining a distance between adjacent location information; determining abnormal position information in the position information based on a distance between the adjacent position information. According to the method and the device, the distance threshold is determined based on the distance between the position information of the target device at the adjacent time, and the distance between the position information of the target device and the distance between the position information of the adjacent time are compared, the abnormal position information which is far away from the position information of the adjacent time in the position information is determined, the abnormal position information is detected according to the actual motion track of the user, and the accuracy of identifying the abnormal position information is improved.

Description

Abnormal position information determining method, abnormal position information determining device and storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, and a storage medium for determining abnormal location information.

Background

In MDT (Minimization of Drive-tests) data, because some users report inaccurate GPS (Global Positioning System) position information, or because the users are shielded in some areas and cannot receive GPS, the longitude and latitude information reported by MDT is inaccurate.

The existing implementation scheme for determining the abnormal position information is generally to obtain a cell coverage area by multiplying an average station spacing between a cell and a peripheral adjacent base station by an experience coefficient, then analyze whether the longitude and latitude reported by MDT exceed the cell coverage area, and finally filter the longitude and latitude exceeding the cell coverage area. However, the existing scheme has the problem of inaccurate identification in practical application.

Disclosure of Invention

The embodiment of the application provides an abnormal position information determining method, an abnormal position information determining device and a storage medium, which are used for solving the defect of inaccurate identification of abnormal position information in the prior art and realizing accurate identification of the abnormal position information.

In a first aspect, an embodiment of the present application provides a method for determining abnormal location information, including:

sorting the location information based on a temporal order of the location information of the target device;

determining a distance between adjacent location information;

determining abnormal position information in the position information based on a distance between the adjacent position information.

Optionally, according to an abnormal location information determining method of an embodiment of the present application, the determining abnormal location information in the location information based on a distance between the adjacent location information includes:

and if the distance between the target position information and one or two adjacent position information is larger than a distance threshold, determining that the target position information is abnormal position information.

and if the distance between the target position information and the two adjacent position information is larger than the distance threshold, determining that the target position information is single-point abnormal position information.

if the distance between the target position information and the adjacent position information is larger than the distance threshold and the distance between the target position information and the adjacent position information is smaller than the distance threshold, clustering the position information to obtain at least two classes;

determining a target class of which the number of elements in the at least two classes is lower than a preset number threshold;

and determining the position information corresponding to all the elements in the target class as multipoint abnormal position information.

Optionally, according to an embodiment of the present application, the method for determining abnormal position information further includes:

determining the distance threshold based on a distance between the adjacent location information.

Optionally, according to an embodiment of the present application, the determining a distance threshold based on a distance between the adjacent position information includes:

determining a standard deviation of distances between all adjacent position information based on a normal distribution formed by the distances between all adjacent position information;

determining distance samples of which the average value of the distances between all adjacent position information is within the range of two standard deviations in the distances of all adjacent position information;

determining an average of all the distance samples as the distance threshold.

In a second aspect, an embodiment of the present application further provides an abnormal location information determining apparatus, including:

comprising a memory, a transceiver, a processor:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:

determining a distance between adjacent location information;

Optionally, the abnormal position information determining apparatus according to an embodiment of the present application, wherein the determining, based on the distance between the adjacent position information, the abnormal position information in the position information includes:

Optionally, according to an embodiment of the present application, the determining abnormal position information in the position information based on a distance between the adjacent position information includes:

Optionally, according to an abnormal location information determining apparatus according to an embodiment of the present application, the operations further include:

Optionally, the apparatus for determining abnormal location information according to an embodiment of the present application, where determining a distance threshold based on a distance between the adjacent location information includes:

determining an average of all the distance samples as the distance threshold.

In a third aspect, an embodiment of the present application further provides an abnormal location information determining apparatus, including:

the sequencing module is used for sequencing the position information based on the time sequence of the position information of the target equipment;

a first determining module for determining a distance between adjacent position information;

and the second determining module is used for determining abnormal position information in the position information based on the distance between the adjacent position information.

In a fourth aspect, an embodiment of the present application further provides a processor-readable storage medium, where a computer program is stored, where the computer program is configured to enable the processor to execute the steps of the abnormal position information determination method according to the first aspect.

According to the abnormal position information determining method, the abnormal position information determining device and the storage medium, the distance threshold is determined based on the distance between the position information of the target device at the adjacent time, the distance between the position information of the target device and the distance between the position information of the adjacent time are compared, the abnormal position information which is far away from the position information of the adjacent time in the position information is determined, the abnormal detection is carried out according to the actual motion track of the user, and the accuracy of the abnormal position information identification is improved.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following descriptions are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a schematic flowchart of an abnormal location information determining method according to an embodiment of the present application;

fig. 2 is a schematic diagram of single-point abnormal location information provided in an embodiment of the present application;

FIG. 3 is a schematic diagram of multi-point anomaly location information provided by an embodiment of the present application;

fig. 4 is a schematic structural diagram of an abnormal position information determining apparatus according to an embodiment of the present application;

fig. 5 is a second schematic structural diagram of an abnormal position information determining apparatus according to an embodiment of the present application.

Detailed Description

In the embodiment of the present application, the term "and/or" describes an association relationship of associated objects, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

In the embodiments of the present application, the term "plurality" means two or more, and other terms are similar thereto.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The embodiment of the application provides an abnormal position information determining method and device, which are used for improving the accuracy of abnormal position information identification.

The method and the device are based on the same application concept, and because the principles of solving the problems of the method and the device are similar, the implementation of the device and the method can be mutually referred, and repeated parts are not described again.

The technical scheme provided by the embodiment of the application can be suitable for various systems, especially 5G systems. For example, the applicable system may be a global system for mobile communication (GSM) system, a Code Division Multiple Access (CDMA) system, a Wideband Code Division Multiple Access (WCDMA) General Packet Radio Service (GPRS) system, a long term evolution (long term evolution, LTE) system, an LTE Frequency Division Duplex (FDD) system, an LTE Time Division Duplex (TDD) system, an LTE-a (long term evolution) system, a universal mobile system (universal mobile telecommunications system, UMTS), a Worldwide Interoperability for Mobile Access (WiMAX) system, a New Radio network (NR 5) system, etc. These various systems include terminal devices and network devices. The System may further include a core network portion, such as an Evolved Packet System (EPS), a 5G System (5GS), and the like.

Fig. 1 is a schematic flowchart of a method for determining abnormal location information according to an embodiment of the present application, and as shown in fig. 1, the method includes the following steps:

step 100, sorting the position information based on the time sequence of the position information of the target equipment;

step 110, determining the distance between adjacent position information;

and 120, determining abnormal position information in the position information based on the distance between the adjacent position information.

Optionally, the MDT (Minimization of Drive-tests) data is characterized in that GPS (Global Positioning System) latitude and longitude information is carried in an MR (Measurement Report), so that a wireless network condition at a specific position can be directly obtained, and the MDT data is widely applied to user Positioning and network quality evaluation.

Optionally, the MDT data includes: IMSI (International Mobile Subscriber Identity), time, longitude and latitude, and primary cell ID (Identity document).

Optionally, the user location information reported by the MDT may be subjected to anomaly detection, so as to improve MDT data accuracy, and further achieve accurate user positioning and accurate network quality evaluation.

Alternatively, road and building maps may be employed as an aid to the determination of abnormal location information.

Optionally, the following information may be extracted from the MDT data: IMSI, time, latitude and longitude, primary cell ID.

Optionally, for any IMSI, that is, a certain target device, all location information of the target device may be sorted in time order.

For example, the position information may be sorted from the earliest position information to the latest position information;

for example, the position information may be sorted from the latest position information to the earliest position information.

Alternatively, the sorted position information may be as shown in table 1 below (position information sorting table):

TABLE 1 location information sorting table

All the position information may be P1, P2, P3, and so on, after being sorted based on time sequence.

Alternatively, all the other position information except the earliest and latest position information has two adjacent position information in the ranking, and the adjacent position information such as the position information P2 includes P1 and P3.

Optionally, after sorting, a distance between every two adjacent pieces of position information may be determined.

Alternatively, the distance between every two adjacent pieces of location information may be as shown in table 2 below (adjacent location distance table):

TABLE 2 Adjacent position distance table

Starting time	End time	Time interval	Distance between two adjacent devices	Starting point	Terminal point
						T1	T2	T2-T1	D1	P1	P2
T2	T3	T3-T2	D2	P2	P3
						T3	T4	T4-T3	D3	P3	P4
……

Alternatively, the distance between adjacent position information may be D1 ═ P2-P1; d2 ═ P3-P2; D3-P4-P3 … … wherein P2-P1 refers to the distance between position P2 and position P1, P3-P2 refers to the distance between position P3 and position P2, P4-P3 refers to the distance between position P4 and position P3, and so on.

Alternatively, after the distances between all the adjacent pieces of position information are determined, the position information in which the abnormality is present may be determined based on the distances between the adjacent pieces of position information.

Optionally, in the embodiment of the present application, the reasonable action distance of the user within a certain time is determined by determining the action path of the user, and a distance or a position that the user cannot reach within a certain time may be determined, that is, the abnormal position information. By the method, the defect that the prior art is only suitable for an ideal non-shielding scene with an optimized area and inaccurate in identification in practical application can be effectively overcome, and abnormal position information in all position information can be simply and accurately found out.

Optionally, after determining the abnormal location information, the abnormal location information may be deleted, i.e., filtered, in the MDT data to ensure the accuracy of the MDT data.

According to the abnormal position information determining method provided by the embodiment of the application, the distance threshold is determined based on the distance between the position information of the target device at the adjacent time, and is compared with the distance between the position information of the adjacent time, the abnormal position information which is far away from the position information of the adjacent time in the position information is determined, the abnormal position information is detected according to the actual motion track of the user, and the accuracy of the abnormal position information identification is improved.

Optionally, the determining abnormal position information in the position information based on the distance between the adjacent position information includes:

Optionally, in the embodiment of the present application, the reasonable action distance of the user within a certain time is determined by determining the action path of the user, and a distance or a position that the user cannot reach within a certain time may be determined, that is, the abnormal position information.

Therefore, when the abnormal position information is identified, it is possible to determine whether the distance between any one of the position information and the adjacent position information is within a reasonable range, and if not, it is possible to determine that the position information is possibly abnormal position information.

Optionally, for target location information to be determined, a distance between location information that is adjacent to the target location information before the target location information and the target location information may be determined, and if the distance is greater than a distance threshold, it may be considered that the target location information may be abnormal location information.

Optionally, for the target location information to be determined, a distance between the next adjacent location information of the target location information and the target location information may be determined, and if the distance is greater than a distance threshold, it may be determined that the target location information may be abnormal location information.

Alternatively, the distance threshold may be preset, such as based on empirical values.

Alternatively, the distance threshold may also be a reasonable value determined based on the path of action of the user, i.e. the target device.

Alternatively, when abnormal location information in the location information is determined, the location information of one target device may have an abnormality only at a certain time, or may have an abnormality within a certain period of time, that is, location information of a plurality of consecutive points is abnormal, and therefore, the abnormal location information may include single-point abnormal location information, and may also include multipoint abnormal location information.

Optionally, fig. 2 is a schematic diagram of single-point abnormal location information provided in an embodiment of the present application, and as shown in fig. 2, an abscissa is time, the time of the abscissa gradually increases from left to right, and an ordinate is mapping of location information of a target device in a coordinate system, where the location information corresponds to the time one to one. The distance between the single-point abnormal position information and the previous position information is extremely large, and the distance between the single-point abnormal position information and the next position information is also extremely large and is obviously larger than the distance between other adjacent position information.

Optionally, for a target location information to be determined, if a distance between the target location information and its adjacent previous location information is greater than a distance threshold, and a distance between the target location information and its adjacent subsequent location information is greater than the distance threshold, it may be determined that the target location information is single-point abnormal location information.

Optionally, after determining the single-point abnormal location information, the single-point abnormal location information may be eliminated from all the location information of the target device.

Optionally, fig. 3 is a schematic diagram of the multipoint abnormal position information provided in the embodiment of the present application, and as shown in fig. 3, an abscissa is time, the time of the abscissa gradually increases from left to right, and a ordinate is mapping of position information of the target device in a coordinate system, where the position information corresponds to the time in a one-to-one manner. For a point at the edge of the multipoint abnormal position information, the distance between the point and the previous adjacent position information is extremely large, but the distance between the point and the next adjacent position information is not large, or the distance between the point and the next adjacent position information is extremely large, but the distance between the point and the previous adjacent position information is not large.

Optionally, if it is determined that the distance between a certain point and its adjacent position information is greater than the distance threshold, and the distance between the target position information and another adjacent position information is less than the distance threshold, the target position information may be considered to be located at an edge of a group of multipoint abnormal position information, and the position information may be clustered to obtain at least two classes, where the position information corresponding to the elements (i.e., a plurality of distances) in the class with fewer elements may be considered to be the multipoint abnormal position information.

It can be understood that, in the location information of a target device over a period of time, the number of the normal location information is much larger than that of the abnormal location information, so that when clustering the location information, all the location information before and after the location information (which may be preset based on empirical values) over a period of time may be clustered, and all the location information of the device may also be clustered.

Optionally, the method further comprises:

Alternatively, a reasonable distance that the user can act within a certain time can be determined based on the action path of the user, and different action modes of the user can be adapted.

Thus, the distance threshold may be determined based on the distance between all or part of the neighboring location information of the user.

Optionally, the distance threshold is dynamically generated in the embodiment of the application, and the adaptability is stronger. The defect that the experience coefficient is constant and the scene is not distinguished in the prior art is overcome, and the accuracy of determining the abnormal position information can be further improved.

Optionally, the determining a distance threshold based on the distance between the adjacent position information includes:

determining an average of all the distance samples as the distance threshold.

Alternatively, the standard deviation of the distances between all the adjacent position information may be determined based on a normal distribution formed by the distances between all the adjacent position information; then, a distance sample with the average value of the distances between all the adjacent position information within the range of two standard deviations in the distances between all the adjacent position information can be determined; thus, the data with extreme errors can be eliminated.

Optionally, after removing the extreme data, an average value of all distance samples may be determined as the distance threshold;

it can be understood that, since the number of the normal location information is much larger than that of the abnormal location information, even if there is abnormal location information in the location information, the average of all the distance samples obtained by calculation is still very close to the reasonable movement distance of the user, i.e., the target device.

Fig. 4 is a schematic structural diagram of an abnormal location information determining apparatus according to an embodiment of the present application, and as shown in fig. 4, the apparatus includes: an ordering module 410, a first determining module 420, and a second determining module 430; wherein:

the sorting module 410 is configured to sort the location information of the target device based on a time sequence of the location information;

the first determining module 420 is used for determining the distance between adjacent position information;

the second determining module 430 is configured to determine abnormal location information in the location information based on a distance between the adjacent location information.

Alternatively, the abnormal location information determining apparatus may sort the location information of the target device by the sorting module 410 based on a time order of the location information; the distance between adjacent location information may then be determined by the first determination module 420; finally, the abnormal location information in the location information may be determined by the second determination module 430 based on the distance between the adjacent location information.

According to the abnormal position information determining device provided by the embodiment of the application, the distance threshold is determined according to the distance between the position information of the target device at the adjacent time, and is compared with the distance between the position information of the adjacent time, the abnormal position information which is far away from the position information of the adjacent time in the position information is determined, the abnormal position information is detected according to the actual motion track of the user, and the accuracy of abnormal position information identification is improved.

It should be noted that the apparatus provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment and achieve the same technical effects, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

Optionally, the second determining module 430 is configured to:

Optionally, the apparatus further comprises:

a third determining module, configured to determine the distance threshold based on a distance between the adjacent location information.

Optionally, the third determining module is configured to:

determining an average value of all the distance samples as the distance threshold.

According to the abnormal position information determining device, the distance threshold is determined according to the distance between the position information of the target device at the adjacent time, the distance threshold is compared with the distance between the position information of the adjacent time, the abnormal position information far away from the position information of the adjacent time in the position information is determined, the abnormal detection is carried out according to the actual motion track of the user, and the accuracy of abnormal position information identification is improved.

It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a processor readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.

Fig. 5 is a second schematic structural diagram of an abnormal location information determining apparatus according to an embodiment of the present application, and as shown in fig. 5, the apparatus includes:

a memory 520 for storing a computer program;

a transceiver 510 for receiving and transmitting data under the control of the processor 500;

a processor 500 for reading the computer program in the memory and performing the following operations:

determining a distance between adjacent location information;

The determining abnormal position information in the position information based on the distance between the adjacent position information comprises:

and if the distances between the target position information and the two adjacent position information are both greater than the distance threshold, determining that the target position information is single-point abnormal position information.

Optionally, the operations further comprise:

Wherein in fig. 5, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 500, and various circuits, represented by memory 520, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 510 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over transmission media including wireless channels, wired channels, fiber optic cables, and the like. For different user devices, the user interface 530 may also be an interface capable of interfacing with a desired device externally, including but not limited to a keypad, display, speaker, microphone, joystick, etc.

The processor 500 is responsible for managing the bus architecture and general processing, and the memory 520 may store data used by the processor 500 in performing operations.

Alternatively, the processor 500 may be a CPU (central processing unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a CPLD (Complex Programmable Logic Device), and the processor may also adopt a multi-core architecture.

The processor is used for executing any one of the methods provided by the embodiment of the application according to the obtained executable instructions by calling the computer program stored in the memory. The processor and memory may also be physically separated.

It should be noted that the apparatus provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

The terminal device referred to in the embodiments of the present application may be a device providing voice and/or data connectivity to a user, a handheld device having a wireless connection function, or other processing device connected to a wireless modem. In different systems, the names of the terminal devices may be different, for example, in a 5G system, the terminal device may be called a User Equipment (UE). A wireless terminal device, which may be a mobile terminal device such as a mobile telephone (or "cellular" telephone) and a computer having a mobile terminal device, for example, a portable, pocket, hand-held, computer-included, or vehicle-mounted mobile device, may communicate with one or more Core Networks (CNs) via a Radio Access Network (RAN). Examples of such devices include Personal Communication Service (PCS) phones, cordless phones, Session Initiation Protocol (SIP) phones, Wireless Local Loop (WLL) stations, and Personal Digital Assistants (PDAs). The wireless terminal device may also be referred to as a system, a subscriber unit (subscriber unit), a subscriber station (subscriber station), a mobile station (mobile), a remote station (remote station), an access point (access point), a remote terminal device (remote terminal), an access terminal device (access terminal), a user terminal device (user terminal), a user agent (user agent), and a user device (user device), which are not limited in this embodiment of the present application.

The network device according to the embodiment of the present application may be a base station, and the base station may include a plurality of cells for providing services to a terminal. A base station may also be referred to as an access point, or a device in an access network that communicates over the air-interface, through one or more sectors, with wireless terminal devices, or by other names, depending on the particular application. The network device may be configured to exchange received air frames with Internet Protocol (IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface. For example, the network device according to the embodiment of the present application may be a Base Transceiver Station (BTS) in a Global System for Mobile communications (GSM) or a Code Division Multiple Access (CDMA), may also be a network device (NodeB) in a Wideband Code Division Multiple Access (WCDMA), may also be an evolved Node B (eNB or e-NodeB) in a Long Term Evolution (LTE) System, a 5G Base Station (gNB) in a 5G network architecture (next generation System), or may also be a Home evolved Node B (HeNB), a relay Node (relay Node), a Home Base Station (femto), a pico Base Station (pico), which is not limited in the embodiments of the present application. In some network configurations, a network device may include Centralized Unit (CU) nodes and Distributed Unit (DU) nodes, which may also be geographically separated.

On the other hand, an embodiment of the present application further provides a processor-readable storage medium, where the processor-readable storage medium stores a computer program, where the computer program is configured to cause the processor to execute the method provided in each of the above embodiments, and the method includes:

determining a distance between adjacent location information;

The processor-readable storage medium can be any available medium or data storage device that can be accessed by a processor, including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. An abnormal position information determining method, comprising:

determining a distance between adjacent location information;

2. The abnormal position information determining method according to claim 1, wherein the determining abnormal position information among the position information based on the distance between the adjacent position information includes:

3. The abnormal position information determining method according to claim 2, wherein the determining abnormal position information among the position information based on the distance between the adjacent position information includes:

4. The abnormal position information determination method according to claim 2, wherein the determining abnormal position information among the position information based on the distance between the adjacent position information includes:

5. The abnormal location information determining method according to any one of claims 2 to 4, further comprising:

6. The abnormal position information determination method according to claim 5, wherein the determining a distance threshold based on the distance between the adjacent position information includes:

determining an average of all the distance samples as the distance threshold.

7. An anomaly location information determining apparatus comprising a memory, a transceiver, a processor:

a memory for storing a computer program; a transceiver for transceiving data under the control of the processor; a processor for reading the computer program in the memory and performing the following:

determining a distance between adjacent location information;

8. The abnormal position information determination device according to claim 7, wherein the determining abnormal position information among the position information based on the distance between the adjacent position information includes:

9. The abnormal position information determination device according to claim 8, wherein the determining abnormal position information among the position information based on the distance between the adjacent position information includes:

10. The abnormal position information determination device according to claim 8, wherein the determining abnormal position information among the position information based on the distance between the adjacent position information includes:

11. The abnormal location information determining apparatus of any one of claims 8 to 10, wherein the operations further comprise:

12. The abnormal position information determination device according to claim 11, wherein the determining a distance threshold based on the distance between the adjacent position information includes:

determining an average of all the distance samples as the distance threshold.

13. An abnormal position information determination apparatus, comprising:

14. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing a processor to perform the method of any one of claims 1 to 6.