CN108776345A - A kind of real-time graph big data acquisition method, device and its system - Google Patents
A kind of real-time graph big data acquisition method, device and its system Download PDFInfo
- Publication number
- CN108776345A CN108776345A CN201810289801.2A CN201810289801A CN108776345A CN 108776345 A CN108776345 A CN 108776345A CN 201810289801 A CN201810289801 A CN 201810289801A CN 108776345 A CN108776345 A CN 108776345A
- Authority
- CN
- China
- Prior art keywords
- information
- shared bicycle
- gps
- time
- bicycle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/01—Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
Landscapes
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
Abstract
The present invention discloses a kind of real-time graph big data acquisition method, includes the following steps, information when shared bicycle record uses every time is as record information, real-time image information when the shared bicycle record uses；A kind of image evidence mode more more reliable than eye witness, which is provided, by real-time image information facilitates acquisition clue to solve the case.
Description
Technical field
The present invention relates to a kind of real-time graph big data acquisition method, device and its systems.
Background technology
Shared bicycle refers to that enterprise carries in campus, subway station, bus station, residential block, shopping centre, common service area etc.
It is a kind of timesharing leasehold mode for bicycle bicycle shared service.Shared bicycle is a kind of shared economy of novel environment friendly；With altogether
Expanding economy is enjoyed, the use of shared bicycle has become a part for people's life.
During criminal investigation and case detection, in particular for the traffic accident at monitoring dead angle, letter is provided not there is eye witness
In the case of breath, a large amount of information is needed to exclude the processing of case so as to solve a case very difficult；Due to shared bicycle at
For the general choice of people's go off daily, included in share GPS information when bicycle uses and the GPS corresponding times believe
Breath can be to look for crime to witness effective information to provide help；Therefore it is badly in need of a kind of facilitate in the market and acquires shared bicycle big data
In may be accident occur scene information method.
Invention content
For the above technical issues, the shortcomings of the prior art, the present invention is overcome to provide a kind of big number of real-time graph
According to acquisition method, the shared bicycle is configured with image acquisition device；Include the following steps,
Information when shared bicycle record uses every time is as record information；Wherein, the record information includes shared single
It is the number information of vehicle, GPS information when being used using the user information of the shared bicycle, the shared bicycle, described shared
Temporal information when bicycle uses；Wherein, the shared bicycle using when GPS information include the shared bicycle on traveling road
Starting point GPS information on diameter, on the driving path terminal GPS information and when the driving path changes
Section change point node GPS information；The node GPS information includes the road section information before the shared bicycle record variation
With the road section information after the shared bicycle record variation；
The shared bicycle using when temporal information include starting point GPS of the shared bicycle on the driving path
The terminal GPS time information and the shared bicycle of temporal information, the shared bicycle on the driving path are described
The node GPS time information of section change point when driving path changes；Wherein, the node time information includes described
Road section information before shared bicycle record variation is changed to the time of the road section information after the shared bicycle record variation；
GPS when GPS information and the shared bicycle when the shared bicycle uses the shared bicycle use believes
It ceases corresponding GPS time information and is packaged into upload data, be often packaged the primary upload data and then send the primary upload number
According to server；
The shared bicycle acquires image information when the shared bicycle uses simultaneously in real time by described image collector
Described image information is sent to the server, the image information that the server records when the shared bicycle uses is upper one
Image information when the shared bicycle of the upload data of secondary reception uses.
As a further improvement, described image collector is wide-angle high-definition camera；One described image collector is set
For shooting picture in front of the shared bicycle at the shared bicycle handlebar, another described image collector is set to described
For shooting the shared bicycle rear picture at shared bicycle vehicle seat.
The present invention provides a kind of real-time graph big data acquisition method, including shared bicycle, and the shared bicycle includes note
Record module, image information collecting module and uploading module；
The logging modle includes number information recording unit, the number information for recording the shared bicycle；
User information recording unit, for recording user information of this time using the shared bicycle；
GPS information recording unit, for recording GPS information when the shared bicycle uses；The shared bicycle uses
When GPS information include the starting point GPS information of the shared bicycle on driving path, the terminal on the driving path
The node GPS information of GPS information and the section change point when the driving path changes；The node GPS information
Including the road section information before the shared bicycle record variation and the road section information after the shared bicycle record variation；
Temporal information recording unit, for record the shared bicycle using when temporal information include the shared bicycle
The terminal GPS time letter of starting point GPS time information, the shared bicycle on the driving path on the driving path
The node GPS time information of the section change point of breath and the shared bicycle when the driving path changes；Its
In, the node time information includes that the road section information before the shared bicycle record variation is changed to the shared bicycle record
The time of road section information after variation；Packaged unit, GPS when for the shared bicycle to be used to the shared bicycle believe
Breath, with the shared bicycle using when the corresponding shared bicycle of GPS information using when GPS time information be packaged into
Pass data；
Described image information acquisition module includes image acquisition device, for acquiring figure when the shared bicycle uses in real time
As information；
Uploading module, for uploading described image information and the upload data extremely service when the shared bicycle uses
Device.
As a further improvement, described image collector quantity is two；Described image collector is wide-angle high-definition camera
Head；One described image collector is set at the shared bicycle handlebar for shooting picture in front of the shared bicycle, another
A described image collector is set at the shared bicycle vehicle seat for shooting the shared bicycle rear picture
The present invention provides a kind of real-time graph big data acquisition system, including processor, memory and is stored in described
In memory and it is configured as the computer program executed by the processor, when the processor executes the computer program
Realize above-mentioned method.
Beneficial effects of the present invention are compared to the prior art,
(1) a kind of real-time graph big data acquisition method of present invention offer, device and its system, pass through record and share bicycle
Number information, GPS information when being used using the user information of the shared bicycle, the shared bicycle, the shared list
Temporal information when vehicle uses；Obtain the record information shared when bicycle user uses；The present invention constitutes shared list by extracting
The critical data " starting point GPS information of the shared bicycle on driving path " in distance information when automobile-used family uses, "
Terminal GPS information on the driving path " and " node of the section change point when the driving path changes
GPS information "；The node GPS information includes the road section information and the shared bicycle note before the shared bicycle record variation
Road section information after record variation；The data shared in bicycle record information are reduced to also ensure shared while facilitating upload
Bicycle records the effective complete of information.
(2) present invention provides a kind of real-time graph big data acquisition method, device and its system, and the shared bicycle is by institute
State GPS information when shared bicycle uses, the shared bicycle corresponding with GPS information when the shared bicycle use uses
When temporal information be packaged into upload data；It is often packaged the primary upload data and then sends the primary upload data；Every dozen
Be bundled into it is primary upload data, then represent and share the record information of bicycle distance when in use and change, be often packaged primary upload
Data then send primary upload data, the residing road section information of shared bicycle when in use can be obtained in time, to obtain in time
The big data that shared bicycle generates.
(3) a kind of real-time graph big data acquisition method of present invention offer, device and its system, pass through image acquisition device reality
Image information when record shares bicycle use is applied, bicycle, which is set as recordable case, in the case where being detached from eye witness finds
The video recording equipment of field, has expanded and has looked for clue to solve the case.
Description of the drawings
In order to illustrate more clearly of technical scheme of the present invention, attached drawing needed in embodiment will be made below
Simply introduce, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, general for this field
For logical technical staff, without creative efforts, other drawings may also be obtained based on these drawings.
Fig. 1 is the overall flow schematic diagram of the first embodiment of the invention；
Fig. 2 is the path simulation schematic diagram of the first embodiment of the invention；
Fig. 3 is the overall structure diagram of second of embodiment of the invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides various embodiments, specifically, please referring to Fig.1-Fig. 2, Fig. 1-Fig. 2 is the first implementation of the present invention
Example, includes the following steps：
S10, information when shared bicycle record uses every time is as record information.
Wherein, described to record user's letter that information includes the number information of shared bicycle, this time uses the shared bicycle
GPS information when breath, the shared bicycle use, temporal information when the shared bicycle uses；Wherein, the shared bicycle
GPS information when use includes the starting point GPS information of the shared bicycle on driving path, the end on the driving path
The node GPS information of point GPS information and the section change point when the driving path changes；The node GPS letters
Breath includes the road section information before the shared bicycle record variation and the road section information after the shared bicycle record variation；It is described
Shared bicycle using when temporal information include starting point GPS time information of the shared bicycle on the driving path, institute
Terminal GPS time information and the shared bicycle of the shared bicycle on the driving path is stated in the driving path to occur
The node GPS time information of section change point when variation；Wherein, the node time information includes the shared bicycle record
Road section information before variation is changed to the time of the road section information after the shared bicycle record variation；
Refering to fig. 1, this shared bicycle used number be " 0010 ", this use the user of the shared bicycle to believe
Breath is " Mr. Wang ", which is the starting point marked in figure, which is expert at
It is the node marked in figure to sail starting point GPS information on path, totally three (road section information of the shared bicycle changes three times altogether),
The terminal GPS information of the shared bicycle on driving path is the terminal marked in figure.
Starting point GPS time information is 10:35；Node order is chronologically divided, the first node GPS time information is
10：45, the second node GPS time information is 11：15；Third node GPS time information is 11:18；Terminal GPS time information is
11:30；Wherein, it is Beijing 1 that the road section information before the variation of the first node, which is the road section information after 1 tunnel of Nanjing, the variation of the first node,
Road；Road section information before the variation of second node is that the road section information after 1 tunnel of Beijing, the variation of the second node is 1 tunnel of ZhangZhou；Third knot
Road section information before point variation is that the road section information after 1 tunnel of ZhangZhou, the variation of third node is 1 tunnel of Xiamen.
In the present embodiment, GPS positioning is merely not only the information of longitude and latitude, but is combined with existing Cartographic Technique
, such as " Amap " in the prior art, " Baidu map " etc.；GPS when shared bicycle in the present embodiment uses
In information, be by shared bicycle using when shared bicycle GPS data match with the GPS data in map, obtain shared single
Road section information where vehicle GPS data, the time point changed by the change of road section information and road section information obtain shared single
More accurate road section information and the traveling duration on the accurate road section information where vehicle user.
Wherein, more accurate road section information, can be understood refering to fig. 1, in Fig. 1 the overlay path on 1 tunnel of Beijing
Very long, including the section mouthful that several intersect with 1 tunnel of Beijing, node information is by the variation between intersection, more
It accurately determines running section information when shared solo running, path when bicycle uses is shared with accurate interception.
In the present embodiment, starting point GPS information and starting point GPS time information are to start to remember when shared bicycle unlocks use
Record；Similarly, terminal GPS information and terminal GPS time information are the start recordings when shared bicycle is locked；Judge shared
Bicycle unlocks and whether the locking of shared bicycle is in a service life, is sentenced by sharing the user information of bicycle user
Disconnected.
S20, the image that the shared bicycle acquires when the shared bicycle uses by described image collector in real time are believed
It ceases and sends described image information to the server；It is upper to state the image information that server records when the shared bicycle uses
Image information when the shared bicycle of the upload data once received uses.
Described image collector is wide-angle high-definition camera；One described image collector is set to the shared bicycle handlebar
Place is set at the shared bicycle vehicle seat and is used for for shooting picture in front of the shared bicycle, another described image collector
The shared bicycle rear picture is shot, information content is increased, is conducive to adopt the image information that section around occurs
Collection.
It is worth noting that, the shared bicycle sends the use image information for sharing bicycle to the server in real time,
The server record shares making using the shared bicycle that image information is the last upload data received for bicycle
Use image information；Facilitate record share bicycle using the road section information where image information.
Referring to Fig. 3, second of embodiment of the invention, a kind of real-time graph big data acquisition method, including shared bicycle,
The shared bicycle includes logging modle, image information collecting module and uploading module；
The logging modle includes number information recording unit, the number information for recording the shared bicycle；
User information recording unit, for recording user information of this time using the shared bicycle；
GPS information recording unit, for recording GPS information when the shared bicycle uses；The shared bicycle uses
When GPS information include the starting point GPS information of the shared bicycle on driving path, the terminal on the driving path
The node GPS information of GPS information and the section change point when the driving path changes；The node GPS information
Including the road section information before the shared bicycle record variation and the road section information after the shared bicycle record variation；
Temporal information recording unit, for record the shared bicycle using when temporal information include the shared bicycle
The terminal GPS time letter of starting point GPS time information, the shared bicycle on the driving path on the driving path
The node GPS time information of the section change point of breath and the shared bicycle when the driving path changes；Its
In, the node time information includes that the road section information before the shared bicycle record variation is changed to the shared bicycle record
The time of road section information after variation；Packaged unit, GPS when for the shared bicycle to be used to the shared bicycle believe
Breath, with the shared bicycle using when the corresponding shared bicycle of GPS information using when GPS time information be packaged into
Pass data.
Described image information acquisition module includes image acquisition device, for acquiring figure when the shared bicycle uses in real time
As information；
Uploading module, for uploading described image information and the upload data extremely service when the shared bicycle uses
Device.
Memory in the prior art may be used in each information recording unit, and each recording unit can correspond to no deposit
Reservoir can also be the different subregions under same memory.
The third embodiment of the invention, this embodiment offers a kind of real-time graph big data acquisition systems, including processing
Device, memory and it is stored in the memory and is configured as the computer program executed by the processor, the place
It manages device and executes the computer program, such as a kind of program of real-time graph big data acquisition；
Illustratively, the computer program can be divided into one or more modules, one or more of moulds
Block is stored in the memory, and is executed by the processor, to complete the present embodiment.One or more of modules can
To be the series of computation machine program instruction section that can complete specific function, which exists for describing the computer program
Implementation procedure in the control method terminal device of Multi-screen display system.
A kind of real-time graph big data acquisition system can be desktop PC, notebook, palm PC and cloud
Hold the computing devices such as server.
A kind of real-time graph big data acquisition system may include, but be not limited only to, processor, memory, display.
It will be understood by those skilled in the art that the schematic diagram is only a kind of example of real-time graph big data acquisition system, not
It constitutes to a kind of restriction of real-time graph big data acquisition system equipment, may include components more more or fewer than diagram, or
Person combines certain components or different components, such as a kind of real-time graph big data acquisition system can also include that input is defeated
Go out equipment, network access equipment, bus etc..
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng the processor is a kind of control centre of real-time graph big data acquisition system, whole using various interfaces and connection
A kind of various pieces of a real-time graph big data acquisition system.
The memory can be used for storing the computer program and/or module, and the processor is by running or executing
Computer program in the memory and/or module are stored, and calls the data being stored in memory, is realized a kind of
The various functions of real-time graph big data acquisition system.The memory can include mainly storing program area and storage data field,
Wherein, storing program area can storage program area, application program (such as sound-playing function, text needed at least one function
Word conversion function etc.) etc.；Storage data field can be stored uses created data (such as audio data, word according to mobile phone
Message data etc.) etc..In addition, memory may include high-speed random access memory, can also include nonvolatile memory,
Such as hard disk, memory, plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card), at least one disk memory, flush memory device or other volatibility are solid
State memory device.
Wherein, if the module that a kind of real-time graph big data acquisition system integrates is realized in the form of SFU software functional unit
And when sold or used as an independent product, it can be stored in a computer read/write memory medium.Based on such
Understand, the present invention realizes all or part of flow in above-described embodiment method, can also instruct phase by computer program
The hardware of pass is completed, and the computer program can be stored in a computer readable storage medium, the computer program
When being executed by processor, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer
Program code, the computer program code can be source code form, object identification code form, executable file or certain centres
Form etc..The computer-readable medium may include：Can carry the computer program code any entity or device,
Recording medium, USB flash disk, mobile hard disk, magnetic disc, CD, computer storage, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software
Distribution medium etc..It should be noted that the content that the computer-readable medium includes can be according to making laws in jurisdiction
Requirement with patent practice carries out increase and decrease appropriate, such as in certain jurisdictions, according to legislation and patent practice, computer
Readable medium does not include electric carrier signal and telecommunication signal.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separating component
The unit of explanation may or may not be physically separated, and the component shown as unit can be or can also
It is not physical unit, you can be located at a place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of module therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention
In embodiment attached drawing, the connection relation between module indicates there is communication connection between them, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, you can to understand
And implement.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (5)
1. a kind of real-time graph big data acquisition method, the shared bicycle is configured with image acquisition device；It is characterised in that it includes
Following steps,
Information when shared bicycle record uses every time is as record information；Wherein, the record information includes shared bicycle
Number information, GPS information when being used using the user information of the shared bicycle, the shared bicycle, the shared bicycle
Temporal information when use；Wherein, the shared bicycle using when GPS information include the shared bicycle on driving path
Starting point GPS information, on the terminal GPS information on the driving path and the road when the driving path changes
The node GPS information of section change point；The node GPS information includes the road section information and institute before the shared bicycle record variation
State the road section information after shared bicycle record variation；
The shared bicycle using when temporal information include starting point GPS time of the shared bicycle on the driving path
The terminal GPS time information and the shared bicycle of information, the shared bicycle on the driving path are in the traveling
The node GPS time information of section change point when path changes；Wherein, the node time information includes described shared
Road section information before bicycle record variation is changed to the time of the road section information after the shared bicycle record variation；
GPS information pair when GPS information and the shared bicycle when the shared bicycle uses the shared bicycle use
The GPS time information answered is packaged into upload data, is often packaged the primary upload data and then sends the primary upload data extremely
Server；
The shared bicycle acquires image information and the transmission when the shared bicycle uses by described image collector in real time
Described image information is to the server；The server record the shared bicycle using when image information connect for the last time
Image information when the shared bicycle for the upload data received uses.
2. figure big data acquisition method according to claim 1, which is characterized in that described image collector is wide-angle
High-definition camera；One described image collector, which is set at the shared bicycle handlebar, to be drawn for shooting in front of the shared bicycle
Face, another described image collector are set at the shared bicycle vehicle seat for shooting the shared bicycle rear picture.
3. a kind of real-time graph big data acquisition method, which is characterized in that including sharing bicycle, the shared bicycle includes record
Module, image information collecting module and uploading module；
The logging modle includes number information recording unit, the number information for recording the shared bicycle；
User information recording unit, for recording user information of this time using the shared bicycle；
GPS information recording unit, for recording GPS information when the shared bicycle uses；When the shared bicycle uses
GPS information includes starting point GPS information of the shared bicycle on driving path, the terminal GPS letters on the driving path
The node GPS information of breath and the section change point when the driving path changes；The node GPS information includes
The road section information after road section information and the shared bicycle record variation before the shared bicycle record variation；
Temporal information recording unit, for record the shared bicycle using when temporal information include the shared bicycle in institute
State terminal GPS time information of the starting point GPS time information, the shared bicycle on driving path on the driving path,
And the node GPS time information of section change point of the shared bicycle when the driving path changes；Wherein, institute
It includes that the road section information before the shared bicycle record variation is changed to the shared bicycle record variation to state node time information
The time of road section information afterwards；Packaged unit, GPS information when for the shared bicycle to be used to the shared bicycle,
With the shared bicycle using when the corresponding shared bicycle of GPS information using when GPS time information be packaged into upload
Data；
Described image information acquisition module includes image acquisition device, is believed for acquiring image when the shared bicycle uses in real time
Breath；
Uploading module, for uploading described image information when the shared bicycle uses and the upload data to server.
4. device according to claim 3, which is characterized in that described image collector quantity is two；Described image is adopted
Storage is wide-angle high-definition camera；One described image collector is set at the shared bicycle handlebar described shared for shooting
Picture in front of bicycle, another described image collector are set at the shared bicycle vehicle seat for after shooting the shared bicycle
Square picture.
5. a kind of real-time graph big data acquisition system, which is characterized in that including processor, memory and be stored in described deposit
In reservoir and it is configured as the computer program executed by the processor, the processor executes real when the computer program
The now method as described in claim 1-2 any one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810289801.2A CN108776345A (en) | 2018-03-30 | 2018-03-30 | A kind of real-time graph big data acquisition method, device and its system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810289801.2A CN108776345A (en) | 2018-03-30 | 2018-03-30 | A kind of real-time graph big data acquisition method, device and its system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108776345A true CN108776345A (en) | 2018-11-09 |
Family
ID=64033556
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810289801.2A Pending CN108776345A (en) | 2018-03-30 | 2018-03-30 | A kind of real-time graph big data acquisition method, device and its system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108776345A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019184435A1 (en) * | 2018-03-30 | 2019-10-03 | 刘婷 | Collection method, device and system thereof for real-time location information in sharing economy |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106846125A (en) * | 2017-02-21 | 2017-06-13 | 上海量明科技发展有限公司 | Shared vehicle and its application method, client and system based on bio-identification |
| CN106875680A (en) * | 2017-03-21 | 2017-06-20 | 杭州电子科技大学 | Crossing average latency computational methods based on big data analysis |
| CN107341755A (en) * | 2017-07-17 | 2017-11-10 | 刘姗姗 | Bicycle parking management method and system are shared in a kind of city strict control area |
| CN107808117A (en) * | 2017-09-29 | 2018-03-16 | 上海工程技术大学 | A kind of shared Vehicle positioning system and its localization method based on cloud computing |
| CN107844995A (en) * | 2017-11-15 | 2018-03-27 | 中国联合网络通信集团有限公司 | Advertisement placement method, advertisement transaction platform and advertisement delivery system |
-
2018
- 2018-03-30 CN CN201810289801.2A patent/CN108776345A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106846125A (en) * | 2017-02-21 | 2017-06-13 | 上海量明科技发展有限公司 | Shared vehicle and its application method, client and system based on bio-identification |
| CN106875680A (en) * | 2017-03-21 | 2017-06-20 | 杭州电子科技大学 | Crossing average latency computational methods based on big data analysis |
| CN107341755A (en) * | 2017-07-17 | 2017-11-10 | 刘姗姗 | Bicycle parking management method and system are shared in a kind of city strict control area |
| CN107808117A (en) * | 2017-09-29 | 2018-03-16 | 上海工程技术大学 | A kind of shared Vehicle positioning system and its localization method based on cloud computing |
| CN107844995A (en) * | 2017-11-15 | 2018-03-27 | 中国联合网络通信集团有限公司 | Advertisement placement method, advertisement transaction platform and advertisement delivery system |
Non-Patent Citations (2)
| Title |
|---|
| 十方: "《从共享单车当中能挖掘到哪些有用的数据？》", 《知乎网》 * |
| 邓力凡 等: "《基于骑行时空数据的共享单车设施规划研究》", 《规划师》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019184435A1 (en) * | 2018-03-30 | 2019-10-03 | 刘婷 | Collection method, device and system thereof for real-time location information in sharing economy |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20200090504A1 (en) | Digitizing and mapping the public space using collaborative networks of mobile agents and cloud nodes | |
| CN207319476U (en) | A kind of intelligent reverse vehicle searching system based on AR real scene navigations | |
| CN105245842A (en) | Mass video monitoring system based on automobile data recorders | |
| EP2682925B1 (en) | Vehicle monitoring method and system | |
| US20190320294A1 (en) | Location information processing method and apparatus, storage medium and processor | |
| CN110457974B (en) | Image superposition method and device, electronic equipment and readable storage medium | |
| CN111274340A (en) | People flow density monitoring processing method, equipment and storage medium | |
| CN212206107U (en) | Map switching apparatus and system | |
| CN109741482A (en) | A kind of information sharing method and device | |
| CN112182289B (en) | Data deduplication method and device based on Flink frame | |
| CN101908057A (en) | Information processing apparatus and information processing method | |
| CN108521630A (en) | A kind of figure big data processing method, device and its system based on real-time position information | |
| CN113870613A (en) | Parking space determination method and device, electronic equipment and storage medium | |
| CN112632124B (en) | Multimedia information acquisition method, device, system, storage medium and electronic device | |
| CN108776345A (en) | A kind of real-time graph big data acquisition method, device and its system | |
| CN108710139A (en) | A kind of information processing method, device and its system based on GPS real time position big datas | |
| CN108732594A (en) | A kind of real-time position information collection method, device and its system of shared economy | |
| Greenhill et al. | Distributed query processing for mobile surveillance | |
| CN112019337A (en) | Method, device and equipment for processing emergency based on block chain | |
| CN113299058B (en) | Traffic accident responsibility identification method, device, medium and electronic equipment | |
| CN108510367A (en) | A kind of information processing method, device and its system for sharing economic real time position based on big data | |
| CN108834161A (en) | Voice-optimizing method, apparatus, computer storage medium and the equipment of micro-base station | |
| CN108848458A (en) | A kind of real-time position information acquisition method, device and its system | |
| CN115169452A (en) | System and method for fusing target information based on space-time synchronization queue characteristics | |
| CN111651634A (en) | Method and device for establishing video event list |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Address after: No. 301, Gate 9, Building 3, Zerenli, Zhongshan Road, Hebei District, Tianjin Applicant after: Yu Aiping Applicant after: Liu Erlei Address before: 464000 Miaotai Formation, Huaji Village, Xuji Township, Gushi County, Xinyang City, Henan Province Applicant before: Yu Aiping Applicant before: Liu Erlei |
|
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20181109 |