CN114170455A - Object gathering method and device, electronic equipment and storage medium - Google Patents

Object gathering method and device, electronic equipment and storage medium Download PDF

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CN114170455A
CN114170455A CN202111367382.8A CN202111367382A CN114170455A CN 114170455 A CN114170455 A CN 114170455A CN 202111367382 A CN202111367382 A CN 202111367382A CN 114170455 A CN114170455 A CN 114170455A
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longitude
latitude
position information
value
target object
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谭家兴
程强
韦香良
石志中
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Beijing Ruian Technology Co Ltd
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Priority to PCT/CN2022/102204 priority patent/WO2023087722A1/en
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Abstract

The embodiment of the invention discloses an object gathering method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring position information of a target object; determining the gathering range of the target object according to the longitude and latitude precision proportion corresponding to the position information; and storing the position information of the corresponding target object according to the gathering range of the target object. By adopting the scheme, the problem that a large amount of operations are caused by an aggregation algorithm under the conventional thought can be solved, and the effects of high efficiency, stability and low time consumption are achieved.

Description

Object gathering method and device, electronic equipment and storage medium
Technical Field
The embodiment of the invention relates to a technology for calculating longitude and latitude of a geographic position, in particular to an object gathering method, an object gathering device, electronic equipment and a storage medium.
Background
In daily life, objects are gathered frequently, and the gathered places are as small as one bus and as large as one market, park, parking lot and the like; the aggregation concept can be applied to behavior analysis of various industries and used for extracting characteristics with tendentiousness from mass data, for example, vehicle positions of the same road section at high speed are aggregated and extracted, so that congestion of the current urban road sections can be analyzed, and management and later-stage optimization of traffic departments are facilitated; but the aggregation algorithm under the existing conventional thinking usually causes the problem of a large number of operations.
Disclosure of Invention
The invention provides an object aggregation method, an object aggregation device, electronic equipment and a storage medium, which can solve the problem that aggregation algorithms under conventional thinking cause a large amount of operations and achieve the effects of high efficiency, stability and low time consumption.
In a first aspect, an embodiment of the present invention provides an object aggregation method, including:
acquiring position information of a target object;
determining the gathering range of the target object according to the longitude and latitude precision proportion corresponding to the position information;
and storing the position information of the corresponding target object according to the gathering range of the target object.
Optionally, the longitude and latitude precision ratio is a longitude value or a preset digit after a decimal point of the latitude value, and the aggregation range of the target object is determined according to the longitude and latitude precision ratio corresponding to the location information, including:
and target objects with the same longitude and latitude precision ratio value corresponding to the position information are in the same aggregation range.
Optionally, the longitude and latitude precision ratio is a positive integer greater than or equal to 2 and less than or equal to 5.
Optionally, the longitude and latitude precision ratio is a longitude value or a preset digit after a decimal point of the latitude value, and the aggregation range of the target object is determined according to the longitude and latitude precision ratio corresponding to the location information, further including:
and using the numerical value of the longitude and latitude precision proportion as the mark of the corresponding aggregation range.
Optionally, if the value of the longitude and latitude precision ratio is 2, the corresponding longitude and latitude precision is kilometers; if the value of the longitude and latitude precision ratio is 3, the corresponding longitude and latitude precision is hundred meters; if the value of the longitude and latitude precision ratio is 4, the corresponding longitude and latitude precision is ten meters; and if the value of the longitude and latitude precision ratio is 5, the corresponding longitude and latitude precision is meter.
In a second aspect, an embodiment of the present invention further provides an object collecting apparatus, where the apparatus includes:
the position information acquisition module is used for acquiring the position information of the target object;
the aggregation range determining module is used for determining the aggregation range of the target object according to the longitude and latitude precision proportion corresponding to the position information;
and the position information storage module is used for storing the position information of the corresponding target object according to the aggregation range of the target object.
Optionally, the longitude and latitude precision proportion is a preset digit after a longitude value or a latitude value decimal point;
accordingly, the aggregation range determination module is configured to:
and target objects with the same longitude and latitude precision ratio value corresponding to the position information are in the same aggregation range.
Optionally, the aggregation range determining module is further configured to:
and using the numerical value of the longitude and latitude precision proportion as the mark of the corresponding aggregation range.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the object aggregation method described above.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the object aggregation method described above.
The embodiment of the invention provides an object gathering method, an object gathering device, electronic equipment and a storage medium, wherein the object gathering method, the electronic equipment and the storage medium are used for acquiring the position information of a target object; determining the gathering range of the target object according to the longitude and latitude precision proportion corresponding to the position information; and storing the position information of the corresponding target object according to the gathering range of the target object. By adopting the scheme, the problem that a large amount of operations are caused by an aggregation algorithm under the conventional thought can be solved, and the effects of high efficiency, stability and low time consumption are achieved.
Drawings
Fig. 1 is a flowchart of an object aggregation method according to an embodiment of the present application;
fig. 2 is a block diagram of an object collecting apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of an object aggregation method according to an embodiment of the present invention, where the embodiment is applicable to a situation of obtaining an object aggregation, and the method may be executed by an object aggregation apparatus, where the apparatus may be implemented by software and/or hardware, and may be configured in an electronic device with data processing capability, such as a server or a terminal device. The method specifically comprises the following steps:
step 110, obtaining position information of a target object;
the scheme can be executed by a server and is applied to the fields of road traffic optimization, parking lot construction planning and the like; the server acquires the position information of the target object through system application; and the background program runs and sets a corresponding program algorithm, acquires the aggregation range of the target object according to one-by-one analysis and investigation, and finally stores the position information of the corresponding target object in groups.
The target object may be a person, a vehicle, or an object such as a city, and may be set according to actual needs. The location information may be location information already existing in the system application; the position information may be information set as a period of time, for example, a day, a week, a month, etc., and may be set according to actual needs; according to different target objects, the position information of the target objects is respectively recorded. The system application can be application software with longitude and latitude information, such as American groups, hundred degree maps and the like. In this embodiment, the position information of the object in the area within one week can be directly obtained from the Baidu map. For example, the actual data is based on the longitude and latitude of the object position in the system, and a set of 1000 ten thousand object position sets is generated by java code simulation under a test environment: (total is the number of target objects, Chuan Shen 10000000). Reference code example:
Figure BDA0003361336300000041
Figure BDA0003361336300000051
Figure BDA0003361336300000061
step 120, determining an aggregation range of the target object according to the longitude and latitude precision proportion corresponding to the position information;
the longitude and latitude precision proportion is obtained by blurring the precision value of the longitude and latitude to a certain proportion, namely the longitude and latitude precision proportion is a longitude value or a latitude value decimal point and then is preset with digits. And the longitude and latitude precision ratio is a positive integer which is more than or equal to 2 and less than or equal to 5. The gathering range can be a gathering range by selecting an gathering point and taking an object with the same longitude and latitude precision ratio as the gathering range. Wherein the number of the focus points depends on the number of the target objects; for example, in 1000 ten thousand target objects, 500 ten thousand targets are concentrated at 1 aggregation point a, 300 ten thousand targets are concentrated at an aggregation point B, 199 ten thousand targets are concentrated at an aggregation point C, and the remaining 1 ten thousand targets are dispersed. Then, the number of the aggregation points is 1+1+1+10000 — 10003. The positions of the target objects of the test data are uniformly distributed, 1000 objects are concentrated at 1 position, and 10000 aggregation points are calculated.
In this embodiment, the server determines the aggregation range of the target object according to the longitude and latitude precision ratio corresponding to the acquired position information, that is, according to the preset digits after the decimal point of the longitude value or the latitude value. Illustratively, according to the position longitude and latitude information of two objects, n bits (assuming that 1 square kilometer range aggregation is needed, n is 2) after the longitude and latitude precision proportional decimal point is extracted, if 2 bits of 2 positions after the extraction of the fuzzy longitude and latitude decimal point are equal, the two objects are represented on one aggregation point. For example, when the set aggregation point is 108.20&22.95, the aggregation ranges may be [108.204529,22.957495] and [108.205539,22.956371 ]; when the aggregation points are set to 108.20&22.93, the aggregation ranges are [108.203336,22.939431] and [108.207613,22.938779 ]. Reference code example:
Figure BDA0003361336300000062
Figure BDA0003361336300000071
Figure BDA0003361336300000081
and step 130, storing the position information of the corresponding target object according to the gathering range of the target object.
In this embodiment, the server performs grouping storage according to the position information of the target object according to the aggregation range of the target object, so as to store the position information of the corresponding target object; wherein the members in each group are the actual longitude and latitude of the location where the target object appears.
According to the technical scheme of the embodiment, the position information of the target object is obtained; determining the gathering range of the target object according to the longitude and latitude precision proportion corresponding to the position information; and storing the position information of the corresponding target object according to the gathering range of the target object. By adopting the scheme, the problem that a large amount of operations are caused by an aggregation algorithm under the conventional thought can be solved, and the effects of high efficiency, stability and low time consumption are achieved.
In this embodiment, optionally, the determining the aggregation range of the target object according to the longitude and latitude precision ratio corresponding to the location information includes:
and target objects with the same longitude and latitude precision ratio value corresponding to the position information are in the same aggregation range.
According to the scheme, the same aggregation range is determined according to the same numerical value of the longitude and latitude precision proportion, the method is more convenient and faster, and the execution efficiency is improved.
In this embodiment, optionally, the determining the aggregation range of the target object according to the longitude and latitude precision ratio corresponding to the location information, where the longitude and latitude precision ratio is a longitude value or a preset number of digits after a decimal point of the latitude value, further includes:
and using the numerical value of the longitude and latitude precision proportion as the mark of the corresponding aggregation range.
In fact, the identification of the aggregation range may be that an aggregation point is set by using a preset digit as an identification after the longitude and latitude precision proportion is a longitude value or a latitude value decimal point, so as to determine the aggregation range of the target object.
According to the scheme, through the setting, the longitude and latitude precision proportion is the longitude value or the latitude value decimal point, the preset digit serves as the identification to set the gathering point to be determined in the same gathering range, convenience is provided for determining the gathering range, and the execution efficiency is improved.
In this embodiment, optionally, if the value of the longitude and latitude accuracy ratio is 2, the corresponding longitude and latitude accuracy is kilometers; if the value of the longitude and latitude precision ratio is 3, the corresponding longitude and latitude precision is hundred meters; if the value of the longitude and latitude precision ratio is 4, the corresponding longitude and latitude precision is ten meters; and if the value of the longitude and latitude precision ratio is 5, the corresponding longitude and latitude precision is meter.
According to the scheme, through the setting, the longitude and latitude precision proportion corresponds to the precision, and a user can conveniently set the corresponding precision proportion according to actual requirements.
Example two
Fig. 2 is a block diagram of an object aggregation apparatus according to a second embodiment of the present invention, which is capable of executing the object aggregation method according to the second embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method. As shown in fig. 2, the apparatus may include: a location information acquisition module 210, an aggregation range determination module 220, and a location information storage module 230;
the position information acquisition module is used for acquiring the position information of the target object;
the aggregation range determining module is used for determining the aggregation range of the target object according to the longitude and latitude precision proportion corresponding to the position information;
and the position information storage module is used for storing the position information of the corresponding target object according to the aggregation range of the target object.
Furthermore, the longitude and latitude precision proportion is a preset digit after a longitude value or a latitude value decimal point;
accordingly, the aggregation range determination module is configured to:
and target objects with the same longitude and latitude precision ratio value corresponding to the position information are in the same aggregation range.
Further, the longitude and latitude precision ratio is a positive integer which is greater than or equal to 2 and less than or equal to 5.
Further, the aggregation range determining module is further configured to:
and using the numerical value of the longitude and latitude precision proportion as the mark of the corresponding aggregation range.
Further, if the value of the longitude and latitude precision ratio is 2, the corresponding longitude and latitude precision is kilometers; if the value of the longitude and latitude precision ratio is 3, the corresponding longitude and latitude precision is hundred meters; if the value of the longitude and latitude precision ratio is 4, the corresponding longitude and latitude precision is ten meters; and if the value of the longitude and latitude precision ratio is 5, the corresponding longitude and latitude precision is meter.
The product can execute the method for informing the road surface information in advance, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention, as shown in fig. 3, the electronic device includes a processor 300, a memory 310, an input device 320, and an output device 330; the number of processors 300 in the device may be one or more, and one processor 300 is taken as an example in fig. 3; the processor 300, the memory 310, the input device 320 and the output device 330 of the apparatus may be connected by a bus or other means, for example, in fig. 3.
The memory 310 may be used as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the object aggregation method in the embodiment of the present invention (for example, the location information acquiring module 210, the aggregation range determining module 220, and the location information storing module 230 in the object aggregation apparatus). The processor 300 executes various functional applications of the device/terminal/server and data processing by executing software programs, instructions and modules stored in the memory 310, namely, implements the object aggregation method described above.
The memory 310 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 310 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 310 may further include memory located remotely from processor 300, which may be connected to devices through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 320 may be used to receive position information of a target object and generate key signal inputs related to user settings and function control of the apparatus. The output device 330 may include a display device such as a display screen.
Example four
A fourth embodiment of the present invention further provides a storage medium containing computer-executable instructions, which when executed by a computer processor, perform a method for object aggregation, the method including:
acquiring position information of a target object;
determining the gathering range of the target object according to the longitude and latitude precision proportion corresponding to the position information;
and storing the position information of the corresponding target object according to the gathering range of the target object.
Of course, the storage medium provided by the embodiments of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the object aggregation provided by any embodiments of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method of collecting objects, comprising:
acquiring position information of a target object;
determining the gathering range of the target object according to the longitude and latitude precision proportion corresponding to the position information;
and storing the position information of the corresponding target object according to the gathering range of the target object.
2. The method of claim 1, wherein the longitude and latitude precision ratio is a longitude value or a preset number of digits after a latitude value decimal point, and determining the aggregation range of the target object according to the longitude and latitude precision ratio corresponding to the position information comprises:
and target objects with the same longitude and latitude precision ratio value corresponding to the position information are in the same aggregation range.
3. The method of claim 1, wherein the latitude and longitude accuracy ratio is a positive integer greater than or equal to 2 and less than or equal to 5.
4. The method of claim 1, wherein the latitude and longitude accuracy ratio is a preset number of digits after a longitude value or a latitude value decimal point, and the aggregation range of the target object is determined according to the latitude and longitude accuracy ratio corresponding to the position information, further comprising:
and using the numerical value of the longitude and latitude precision proportion as the mark of the corresponding aggregation range.
5. The method of claim 1, wherein if the value of the latitude and longitude accuracy ratio is 2, the corresponding latitude and longitude accuracy is kilometers; if the value of the longitude and latitude precision ratio is 3, the corresponding longitude and latitude precision is hundred meters; if the value of the longitude and latitude precision ratio is 4, the corresponding longitude and latitude precision is ten meters; and if the value of the longitude and latitude precision ratio is 5, the corresponding longitude and latitude precision is meter.
6. An object accumulation apparatus, comprising:
the position information acquisition module is used for acquiring the position information of the target object;
the aggregation range determining module is used for determining the aggregation range of the target object according to the longitude and latitude precision proportion corresponding to the position information;
and the position information storage module is used for storing the position information of the corresponding target object according to the aggregation range of the target object.
7. The device of claim 6, wherein the longitude and latitude precision proportion is a preset number of digits after a decimal point of a longitude value or a latitude value;
accordingly, the aggregation range determination module is configured to:
and target objects with the same longitude and latitude precision ratio value corresponding to the position information are in the same aggregation range.
8. The apparatus of claim 6, wherein the aggregation range determination module is further configured to:
and using the numerical value of the longitude and latitude precision proportion as the mark of the corresponding aggregation range.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the object aggregation method of any one of claims 1-5.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the object aggregation method according to any one of claims 1 to 5.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023087722A1 (en) * 2021-11-18 2023-05-25 北京锐安科技有限公司 Object gathering method and apparatus, and electronic device and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109598925A (en) * 2017-09-30 2019-04-09 厦门雅迅网络股份有限公司 Taxi vehicle assembles alarm method, terminal device and storage medium
WO2020052338A1 (en) * 2018-09-12 2020-03-19 北京三快在线科技有限公司 Address identifier and longitude and latitude thereof mining
CN111090713A (en) * 2019-12-17 2020-05-01 青岛海信移动通信技术股份有限公司 Map processing method, server, intelligent terminal and computer readable storage medium
CN112347214A (en) * 2020-11-06 2021-02-09 平安科技(深圳)有限公司 Target area dividing method and device, electronic equipment and storage medium

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9307360B1 (en) * 2015-01-09 2016-04-05 NinthDecimal, Inc. Systems and methods to identify a predefined geographical region in which a mobile device is located
CN110335068A (en) * 2019-06-18 2019-10-15 平安普惠企业管理有限公司 A kind of trade company's aggregation zone determines method and device
CN114170455A (en) * 2021-11-18 2022-03-11 北京锐安科技有限公司 Object gathering method and device, electronic equipment and storage medium

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109598925A (en) * 2017-09-30 2019-04-09 厦门雅迅网络股份有限公司 Taxi vehicle assembles alarm method, terminal device and storage medium
WO2020052338A1 (en) * 2018-09-12 2020-03-19 北京三快在线科技有限公司 Address identifier and longitude and latitude thereof mining
CN111090713A (en) * 2019-12-17 2020-05-01 青岛海信移动通信技术股份有限公司 Map processing method, server, intelligent terminal and computer readable storage medium
CN112347214A (en) * 2020-11-06 2021-02-09 平安科技(深圳)有限公司 Target area dividing method and device, electronic equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023087722A1 (en) * 2021-11-18 2023-05-25 北京锐安科技有限公司 Object gathering method and apparatus, and electronic device and storage medium

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