CN110475208B - Method and device for determining travel track of user equipment - Google Patents
Method and device for determining travel track of user equipment Download PDFInfo
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- CN110475208B CN110475208B CN201910722517.4A CN201910722517A CN110475208B CN 110475208 B CN110475208 B CN 110475208B CN 201910722517 A CN201910722517 A CN 201910722517A CN 110475208 B CN110475208 B CN 110475208B
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Abstract
The application aims to provide a method and equipment for determining a travel track of user equipment. Compared with the prior art, the method and the device have the advantages that the user equipment is determined based on the signal terminal equipment, the multiple coordinate information of the user equipment in the current preset time period is determined, then based on the multiple coordinate information, the travel track of the user equipment in the current preset time period is determined, then based on the travel track of the user equipment in the current preset time period and the historical travel track library, the travel track of the user equipment in the next preset time period is determined, and through the method, the travel track of the user can be predicted, so that the user behavior can be conveniently analyzed.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a technique for determining a travel trajectory of a user equipment.
Background
In the prior art, the real-time position information of the user can be obtained only through a router and other wireless devices, and the analysis of the user behavior cannot be satisfied.
Disclosure of Invention
The application aims to provide a method and equipment for determining a travel track of user equipment.
According to an aspect of the present application, there is provided a method for determining a user equipment travel trajectory, wherein the method comprises:
determining a plurality of coordinate information of the user equipment in a current preset time period based on signal terminal equipment;
determining a travel track of the user equipment in the current preset time period based on the plurality of pieces of coordinate information;
and determining the travel track of the user equipment in the next preset time period based on the travel track of the user equipment in the current preset time period and a historical travel track library.
Further, wherein the method further comprises:
and generating a historical travel track library of the user equipment based on the travel track of the user equipment in a historical period.
Further, the determining, based on the travel track of the user equipment in the current preset time period and the historical travel track library, the travel track of the user equipment in a next preset time period includes:
and matching a plurality of coordinate information corresponding to the travel track in the current preset time period in a historical travel track library corresponding to the user equipment, and determining the historical travel track with the highest matching degree as the travel track of the user equipment in the next preset time period.
Further, wherein the method further comprises:
acquiring coordinate time information corresponding to the user equipment in the plurality of coordinate information;
wherein the determining the travel track of the user equipment in the next preset time period based on the travel track of the user equipment in the current preset time period and the historical travel track library comprises:
matching a plurality of coordinate information corresponding to the travel track in the current preset time period and the corresponding coordinate time information in a historical travel track library corresponding to the user equipment, and determining the historical travel track with the highest matching degree as the travel track of the user equipment in the next preset time period
Further, wherein the method further comprises:
and sending the travel track of the user equipment in the next preset time period to the user equipment so as to present the travel track in a map corresponding to the user equipment.
Further, wherein the method further comprises:
counting historical coordinate information of the user equipment based on the historical travel track library;
determining scene characteristic information corresponding to historical coordinate information based on the historical coordinate information of the user equipment;
determining label information corresponding to the user equipment based on the occurrence frequency information of the scene feature information, wherein the label information is associated with the scene feature information;
and when the marketing information which is matched with the label information and is related to the scene characteristic information exists in the travel track of the user equipment in the next preset time period, the marketing information related to the scene characteristic information is sent to the user equipment.
Further, wherein the method further comprises:
and marking the scene characteristic information so that the scene characteristic information is presented in a map of the user equipment in a corresponding mark.
Further, wherein the method further comprises:
determining user equipment with abnormal historical travel tracks based on a historical travel track library corresponding to each user equipment, and marking the abnormal user equipment;
and when the predicted travel track of the abnormal user equipment is overlapped with the travel track of the user equipment in the next preset time period, sending crime early warning information to the user equipment.
Further, wherein the method further comprises:
and when the predicted user equipment in the travel track in the next preset time period is more than the preset threshold number, sending people stream early warning information to the user equipment.
Further, wherein the method further comprises:
acquiring signal intensity of the user equipment at the current moment and the corresponding signal intensity of the user equipment at the previous moment, which are sent by signal terminal equipment;
calculating the moving distance of the user equipment at the two moments based on the corresponding signal strength of the two moments;
and determining the coordinate information of the user equipment at the current moment based on the moving distance and the position information of the signal terminal equipment.
According to another aspect of the present application, there is also provided a computer readable medium having computer readable instructions stored thereon, the computer readable instructions being executable by a processor to implement the operations of the method as described above.
Compared with the prior art, the method and the device have the advantages that the multiple coordinate information of the user equipment in the current preset time period is determined based on the signal terminal equipment, then the travel track of the user equipment in the current preset time period is determined based on the multiple coordinate information, then the travel track of the user equipment in the current preset time period and the historical travel track library are determined based on the travel track of the user equipment in the current preset time period, and the travel track of the user equipment in the next preset time period can be predicted by the method, so that the user behavior can be conveniently analyzed.
Moreover, this application can also be based on historical travel track base statistics the historical coordinate information of user equipment, then based on the historical coordinate information of user equipment, confirm the scene characteristic information that historical coordinate information corresponds, and based on scene characteristic information's frequency of occurrence information, confirm the label information that user equipment corresponds, wherein, label information with scene characteristic information is correlated with, then when the travel track of user equipment in next preset time quantum exists with label information assorted, with the marketing information that scene characteristic information is relevant, to user equipment send with the marketing information that scene characteristic information is relevant. By the method, the marketing information can be recommended to the user according to the travel track of the user, and the user experience is improved.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings:
FIG. 1 illustrates a flow chart of a method for determining a travel trace for a user device in accordance with an aspect of the subject application.
The same or similar reference numbers in the drawings identify the same or similar elements.
Detailed Description
The present invention is described in further detail below with reference to the attached drawing figures.
In a typical configuration of the present application, the terminal, the device serving the network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
To further illustrate the technical means and effects adopted by the present application, the following description clearly and completely describes the technical solution of the present application with reference to the accompanying drawings and preferred embodiments.
Fig. 1 illustrates a method for determining a travel trajectory of a user equipment according to an aspect of the present application, where the method includes:
s11, determining a plurality of coordinate information of the user equipment in the current preset time period based on the signal terminal equipment;
s12, determining the travel track of the user equipment in the current preset time period based on the coordinate information;
s13 determines, based on the travel track of the user equipment in the current preset time period and the historical travel track library, a travel track of the user equipment in a next preset time period.
In the present application, the method is performed by a device 1, where the device 1 includes, but is not limited to, a computer, a network host, a single network server, a plurality of network server sets, or a cloud of multiple servers; here, the Cloud is composed of a large number of computers or web servers based on Cloud Computing (Cloud Computing), which is a kind of distributed Computing, one virtual supercomputer consisting of a collection of loosely coupled computers.
In this embodiment, in step S11, the device 1 determines a plurality of coordinate information of the user device in the current preset time period based on the signal terminal device. Here, the signal terminal device includes a device that can communicate with the user device and can determine the location information of the user device, for example, the signal terminal device includes but is not limited to a router, wherein the relevant information of the signal terminal device, such as the location information, the attribute information, and the like, is stored in the device 1.
The current preset time period may be preset, for example, the preset time period may be set to one day, a half day, or an hour, and the like, and is not limited specifically herein. The coordinate information may be coordinate information corresponding to a plurality of time intervals within a preset time period, for example, if the preset time period is one day, the coordinate information may be coordinate information corresponding to each hour within one day, and the like. Here, the determination of the plurality of pieces of coordinate information may be based on a signal terminal device in the vicinity of a location where the user device is located.
Preferably, wherein the method further comprises: s15 (not shown) acquiring signal strengths of the ue at the current time and the previous time sent by the signal terminal device; s16 (not shown) calculating the moving distance of the ue at the two time instants based on the corresponding signal strengths of the two time instants; s17 (not shown) determines coordinate information of the user equipment at the current time based on the moving distance and the location information of the signal terminal equipment.
In this embodiment, in step S15, when the signal terminal device determines the current coordinate information of the user device, the signal terminal device may acquire the signal strengths corresponding to the user device at the current time and the previous time, where the time interval between the current time and the previous time may be preset, for example, several seconds or several tens of seconds, and after acquiring the signal strengths at two times, in step S16, the distance between the two times and the signal terminal device is calculated according to the existing method, and then the coordinate information of the user device at the current time is determined based on the distance and the location information of the signal terminal device. For example, when it is determined that the two moments are respectively 22 meters and 30 meters away from the signal terminal device, the distance from the user equipment to the signal terminal device may be estimated to be between 22 meters and 30 meters, and since the position of the signal terminal device is determined, the position of the user equipment may be estimated, for example, an average value of the two distances may be taken as the distance from the user equipment to the signal terminal device.
Continuing in this embodiment, in step S12, the device 1 determines a travel trajectory of the user device within the current preset time period based on the plurality of pieces of coordinate information. Here, the travel route may be formed based on the plurality of pieces of coordinate information, for example, a route formed in order of the plurality of pieces of coordinate information in the order of passage, or a travel route of the user equipment in a current preset time period may be formed in order of passage by using nearby buildings corresponding to the plurality of pieces of coordinate information, for example, buildings such as shops or office buildings.
In this embodiment, in step S13, the device 1 determines a travel track of the user equipment in the next preset time period based on the travel track of the user equipment in the current preset time period and the historical travel track library. For example, through statistics, a user may arrive at the people square 80 times after passing through the locations a, b, and c in the past 100 days, and if the user passes through the locations a, b, and c in the current time period, it may be predicted that the user may possibly go to the people square.
Preferably, wherein the step S13 includes: and matching a plurality of coordinate information corresponding to the travel track in the current preset time period in a historical travel track library corresponding to the user equipment, and determining the historical travel track with the highest matching success degree as the travel track of the user equipment in the next preset time period.
Specifically, since the travel track of the ue is determined based on a plurality of coordinate information, the coordinate information corresponding to the travel track in the current preset time period may be compared with a plurality of coordinates corresponding to historical travel tracks in the historical travel track library, the historical travel track with the highest overlapping degree may be determined as the matched historical travel track, and then the travel track of the ue in the next preset time period may be determined according to the next coordinate information of the historical travel track.
Preferably, wherein the method further comprises: acquiring coordinate time information corresponding to the user equipment in the plurality of pieces of coordinate information, wherein the step S13 includes: and matching a plurality of coordinate information corresponding to the travel track in the current preset time period and the corresponding coordinate time information in a historical travel track library corresponding to the user equipment, and determining the historical travel track based on the highest success degree of matching as the travel track of the user equipment in the next preset time period.
For example, it is counted that a user may arrive at the people square at the points a, b, and c at 8 am to 9 am 80 times in the past 100 days, and if the user's current time period is about 8 am to 9 am and passes through the points a, b, and c, it is predicted that the user may go to the people square.
Preferably, wherein the method further comprises: s14 (not shown), the device 1 generates a historical travel trace library of the user device based on the travel trace of the user device during a historical period.
Specifically, the history period may also be preset, for example, the history period may be set to be one week, one month, or several months, and the like, where the history period is not limited, for example, after counting the travel tracks of the user in a period of time, the travel tracks are recorded according to the history period, so as to form a history travel track library.
Preferably, wherein the method further comprises: s18 (not shown) sends the travel track of the user equipment in the next preset time period to other associated user equipments of the user equipment, so that the travel track is presented in a map corresponding to the user equipment or the other associated user equipments. In this embodiment, the travel track of the user equipment may be presented in the form of a map, and specifically, the user equipment may be associated with other user equipment, so that the other user equipment may obtain the travel track of the user equipment.
Preferably, wherein the method further comprises: s19 (not shown) counting historical coordinate information of the user equipment based on the historical travel track library; determining scene characteristic information corresponding to historical coordinate information based on the historical coordinate information of the user equipment; determining label information corresponding to the user equipment based on the occurrence frequency information of the scene feature information, wherein the label information is associated with the scene feature information; and when the marketing information which is matched with the label information and is related to the scene characteristic information exists in the travel track of the user equipment in the next preset time period, the marketing information related to the scene characteristic information is sent to the user equipment.
In this embodiment, historical coordinate information of the user equipment may be counted by the historical travel track library, and the historical coordinate information may be converted into corresponding scene feature information, where the scene feature information includes, but is not limited to, a coffee shop, an office building, a shopping mall, a school, and the like, for example, the coordinate information may be presented through a map, the corresponding scene feature information may be determined by the coordinate information, then the occurrence frequency information of the scene feature information determines the label information corresponding to the user equipment, for example, if a user frequently goes to a coffee shop, the label of the user may be "cafe", or if a user frequently goes to a book shop, the label of the user may be "book for reading", and the like. Therefore, when the next travel track of a certain label user is predicted to include the corresponding scene characteristic information of the label, marketing information can be recommended to the user, for example, the label of the certain user is 'coffee party', and when the next travel track of the user is predicted to include a certain coffee shop, a coupon of the coffee shop can be recommended to the user. The above tag format and the recommended format of the marketing message are only examples, and other existing or future applications may be applied to the present application, and are included in the scope of the present application, and are included herein by reference.
Preferably, wherein the method further comprises: s20 (not shown) marks the scene characteristic information so that the scene characteristic information is presented in a map of the user equipment with a corresponding mark. In this embodiment, when the next travel track of the user equipment is presented in the map, the related scene feature information may be marked, and the marking may be in the form of a graphical or text, for example, the user may be prompted to have preferential information, and the like, for example, when the next travel track of a certain "cafe" user includes a certain coffee shop, the coffee shop may be marked, and for example, the coffee shop preferential information may be presented in the form of text or graphic.
Preferably, wherein the method further comprises: s21 (not shown) determining the user equipment with abnormal historical travel track based on the historical travel track library corresponding to each user equipment, and marking the abnormal user equipment; and when the predicted travel track of the abnormal user equipment is overlapped with the travel track of the user equipment in the next preset time period, sending crime early warning information to the user equipment.
In this embodiment, abnormal users, such as bus thieves who like to repeatedly get on and off a bus on a fixed route, can be counted through the historical travel track of the user equipment, and the moving routes of these criminals are different from those of normal persons, so that these abnormal users can be marked, and when the predicted travel track of the abnormal user equipment is overlapped with the travel track of the user equipment in the next preset time period, the crime warning information is sent to the user equipment to remind the user.
Preferably, wherein the method further comprises: s22 (not shown), when the predicted user equipment in the travel trajectory in the next preset time period is greater than the preset threshold number, sending people stream early warning information to the user equipment. In this embodiment, the device 1 may count the number of other user devices in the next travel track of the current user, and send the people flow warning information to the user device when the number of other user devices is greater than the preset threshold number, so as to prompt the user that the user has a lot of people flow and pay attention to safety.
Compared with the prior art, the method and the device have the advantages that the user equipment is determined based on the signal terminal equipment, the multiple coordinate information of the user equipment in the current preset time period is determined, then based on the multiple coordinate information, the travel track of the user equipment in the current preset time period is determined, then based on the travel track of the user equipment in the current preset time period and the historical travel track library, the travel track of the user equipment in the next preset time period is determined, and through the method, the travel track of the user can be predicted, so that the user behavior can be conveniently analyzed.
Moreover, this application can also be based on historical travel track base statistics the historical coordinate information of user equipment, then based on the historical coordinate information of user equipment, confirm the scene characteristic information that historical coordinate information corresponds, and based on scene characteristic information's frequency of occurrence information, confirm the label information that user equipment corresponds, wherein, label information with scene characteristic information is correlated with, then when the travel track of user equipment in next preset time quantum exists with label information assorted, with the marketing information that scene characteristic information is relevant, to user equipment send with the marketing information that scene characteristic information is relevant. By the method, the marketing information can be recommended to the user according to the travel track of the user, and the user experience is improved.
Furthermore, the embodiment of the present application also provides a computer readable medium, on which computer readable instructions are stored, and the computer readable instructions can be executed by a processor to implement the foregoing method.
An embodiment of the present application further provides an apparatus for determining a travel trajectory of a user equipment, where the apparatus includes:
one or more processors; and
a memory storing computer readable instructions that, when executed, cause the processor to perform the operations of the foregoing method.
For example, the computer readable instructions, when executed, cause the one or more processors to: determining a plurality of coordinate information of the user equipment in a current preset time period based on signal terminal equipment; determining a travel track of the user equipment in the current preset time period based on the plurality of pieces of coordinate information; generating a historical travel track library of the user equipment based on the travel track of the user equipment in a historical period; and determining the travel track of the user equipment in the next preset time period based on the travel track of the user equipment in the current preset time period and the historical travel track library.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Claims (10)
1. A method for determining a user equipment travel trajectory, wherein the method comprises:
determining a plurality of pieces of coordinate information of the user equipment in a current preset time period based on signal terminal equipment, wherein the signal terminal equipment comprises a router;
determining a travel track of the user equipment in the current preset time period based on the plurality of pieces of coordinate information;
determining a travel track of the user equipment in a next preset time period based on the travel track of the user equipment in the current preset time period and a historical travel track library, wherein the historical travel track library is generated based on the travel track of the user equipment in a historical period;
counting historical coordinate information of the user equipment based on the historical travel track library;
determining scene characteristic information corresponding to historical coordinate information based on the historical coordinate information of the user equipment;
determining label information corresponding to the user equipment based on the occurrence frequency information of the scene feature information, wherein the label information is associated with the scene feature information;
and when the marketing information which is matched with the label information and is related to the scene characteristic information exists in the travel track of the user equipment in the next preset time period, the marketing information related to the scene characteristic information is sent to the user equipment.
2. The method of claim 1, wherein the determining the travel track of the user equipment in the next preset time period based on the travel track of the user equipment in the current preset time period and a historical travel track library comprises:
and matching a plurality of coordinate information corresponding to the travel track in the current preset time period in a historical travel track library corresponding to the user equipment, and determining the historical travel track with the highest matching degree as the travel track of the user equipment in the next preset time period.
3. The method of claim 2, wherein the method further comprises:
acquiring coordinate time information corresponding to the user equipment in the plurality of coordinate information;
matching the plurality of coordinate information corresponding to the travel track in the current preset time period in a historical travel track library corresponding to the user equipment, and determining the historical travel track with the highest matching degree as the travel track of the user equipment in the next preset time period includes:
and matching a plurality of coordinate information corresponding to the travel track in the current preset time period and the corresponding coordinate time information in a historical travel track library corresponding to the user equipment, and determining the historical travel track with the highest matching degree as the travel track of the user equipment in the next preset time period.
4. The method of any of claims 1-3, wherein the method further comprises:
and sending the travel track of the user equipment in the next preset time period to the user equipment or other associated user equipment so as to enable the travel track to be presented in a map corresponding to the user equipment or other associated user equipment.
5. The method of claim 1, wherein the method further comprises:
and marking the scene characteristic information so that the scene characteristic information is presented in a map of the user equipment in a corresponding mark.
6. The method of claim 1, wherein the method further comprises:
determining user equipment with abnormal historical travel tracks based on a historical travel track library corresponding to each user equipment, and marking the abnormal user equipment;
and when the predicted travel track of the abnormal user equipment is overlapped with the travel track of the user equipment in the next preset time period, sending crime early warning information to the user equipment.
7. The method of claim 1, wherein the method further comprises:
and when the predicted user equipment in the travel track in the next preset time period is more than the preset threshold number, sending people stream early warning information to the user equipment.
8. The method of any of claims 1 to 7, wherein the method further comprises:
acquiring signal intensity of the user equipment at the current moment and the corresponding signal intensity of the user equipment at the previous moment, which are sent by signal terminal equipment;
calculating the distances between the user equipment and the signal terminal equipment at the two moments based on the signal strengths corresponding to the two moments;
and determining the coordinate information of the user equipment at the current moment based on the distance and the position information of the signal terminal equipment.
9. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the method of any one of claims 1 to 8.
10. An apparatus for a user equipment travel trajectory, wherein the apparatus comprises:
one or more processors; and
a memory storing computer readable instructions that, when executed, cause the processor to perform the operations of the method of any of claims 1 to 8.
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| CN106767867B (en) * | 2016-12-08 | 2020-10-30 | 湖南索菱汽车电子科技有限公司 | Vehicle navigation apparatus and method |
| CN106705979A (en) * | 2016-12-30 | 2017-05-24 | 上海蔚来汽车有限公司 | Navigation method and system capable of realizing intelligent path monitoring |
| CN108362293B (en) * | 2018-02-24 | 2021-08-31 | 中电福富信息科技有限公司 | Vehicle track matching method based on key point technology |
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| CN104121908A (en) * | 2013-04-25 | 2014-10-29 | 北京搜狗信息服务有限公司 | Method and system for time-delay path planning |
| CN104462190A (en) * | 2014-10-24 | 2015-03-25 | 中国电子科技集团公司第二十八研究所 | On-line position prediction method based on mass of space trajectory excavation |
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