CN107248277A - A kind of shared bicycle empty wagons prediction system for prompting - Google Patents
A kind of shared bicycle empty wagons prediction system for prompting Download PDFInfo
- Publication number
- CN107248277A CN107248277A CN201710626508.6A CN201710626508A CN107248277A CN 107248277 A CN107248277 A CN 107248277A CN 201710626508 A CN201710626508 A CN 201710626508A CN 107248277 A CN107248277 A CN 107248277A
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- shared bicycle
- rental period
- app
- shared
- bicycle
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- 238000000034 method Methods 0.000 claims abstract description 10
- 238000013459 approach Methods 0.000 description 2
Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/205—Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- General Physics & Mathematics (AREA)
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- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
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- Finance (AREA)
- Economics (AREA)
- Marketing (AREA)
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- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of shared bicycle empty wagons prediction system for prompting, including main program, rental period calculation procedure, shared bicycle APP in shared bicycle server, and it is integrated in the d GPS locating module on shared bicycle, foundation is used as by the result of calculation of main program using rental period calculation procedure, the time of shared bicycle in is predicted, conveniently treats that permit holder rents shared bicycle.The present invention can effectively improve the resource utilization of shared bicycle.
Description
Technical field
The present invention relates to shared bicycle field, specifically a kind of shared bicycle empty wagons prediction system for prompting..
Background technology
With the development of shared bicycle technology, shared bicycle be increasingly becoming people's go off daily main traffic mode it
One.Existing shared bicycle can only be rented when in the free time, for the shared bicycle of use state, due to can not be pre-
Its time for terminating to use is surveyed, therefore can not be rented in advance.If the time for the shared bicycle that can be directed in use carries out pre-
Survey, then can be convenient for people to the shared bicycle in predetermined use in advance, can undoubtedly improve the resource utilization of shared bicycle.
The content of the invention
It is an object of the invention to provide a kind of shared bicycle empty wagons prediction system for prompting, bicycle is shared to solve prior art
The problem of use time is unpredictable.
In order to achieve the above object, the technical solution adopted in the present invention is：
A kind of shared bicycle empty wagons prediction system for prompting, it is characterised in that：During including sharing main program in bicycle server, renting
Between calculation procedure, shared bicycle APP, and the d GPS locating module being integrated on shared bicycle, wherein：
Rental period calculation procedure is every in history under each shared bicycle APP accounts of record for each shared bicycle APP accounts
The rental period of its shared bicycle, the shared bicycle average rental period of each shared bicycle APP accounts is obtained by calculating simultaneously
Storage；
Shared bicycle treats that the shared bicycle APP of permit holder, shared bicycle in permit holder mobile phone is called in correspondence mobile phone respectively
GPS module, and shared bicycle is treated that the gps data of permit holder, shared bicycle permit holder is sent to shared bicycle server, its
In to share the gps data of bicycle permit holder be the gps data for being considered as the shared bicycle rented under its shared bicycle APP account；
Main program treats the gps data of permit holder according to shared bicycle in shared bicycle server, searches the shared bicycle of distance and waits to rent
The gps data of each shared bicycle in the range of user's certain distance, and each shared bicycle pair in the range of certain distance
The shared bicycle APP accounts answered；Then main program calls each in the range of the certain distance stored in rental period calculation procedure
The corresponding shared bicycle of the individual shared bicycle APP accounts average rental period, and with each shared bicycle in the range of certain distance
APP accounts actual rental period compares, search actual rental period and shared bicycle average rental period it is close each is shared
Bicycle APP accounts, and be designated as predicting target account respectively；Then main program searches the shared list that each prediction target account is rented
The gps data of car；The gps data for the shared bicycle that last main program rents each prediction target account is sent to shared bicycle
Treat the shared bicycle APP in permit holder mobile phone；
Shared bicycle treats that the shared bicycle that each prediction target account is rented is marked at by the shared bicycle APP in permit holder mobile phone
Predict and remind as empty wagons on GPS map.
A kind of described shared bicycle empty wagons prediction system for prompting, it is characterised in that：Shared bicycle APP accounts are actual to rent
Time, recorded by main program in shared bicycle server after receiving lease request and determining.
A kind of described shared bicycle empty wagons prediction system for prompting, it is characterised in that：Main program is abandoned first by comparing
The actual rental period is more than the shared bicycle APP accounts of average rental period.
A kind of described shared bicycle empty wagons prediction system for prompting, it is characterised in that：Actual rental period and shared bicycle
The average rental period approaches, and refers to that the actual rental period is less than the shared bicycle average rental period, and the actual rental period is together
Enjoy the average rental period difference of bicycle and be less than predetermined threshold value.
In the present invention, the rental period to share bicycle APP accounts in history obtains the shared of each account as foundation
The bicycle average rental period.When permit holder sends lease request, gps data of the bicycle server based on permit holder is shared, is looked into
The gps data of the shared bicycle used near permit holder is looked for, and compares the actual rent of the shared bicycle nearby used
With the time peace rental period, prediction mesh is used as to obtain time used close to the shared bicycle of average rental period
Mark, prediction target is sent to shared bicycle APP by shared bicycle server, is available for users to and is checked, user is obtained attached
The information of the shared bicycle closely closed to an end, is rented with convenient use person, can effectively improve the resource utilization of shared bicycle.
Brief description of the drawings
Fig. 1 is principle of the invention figure.
Embodiment
As shown in figure 1, a kind of 1, shared bicycle empty wagons prediction system for prompting, including main program in shared bicycle server,
Rental period calculation procedure, shared bicycle APP, and the d GPS locating module being integrated on shared bicycle, wherein：
Rental period calculation procedure is every in history under each shared bicycle APP accounts of record for each shared bicycle APP accounts
The rental period of its shared bicycle, the shared bicycle average rental period of each shared bicycle APP accounts is obtained by calculating simultaneously
Storage；
Shared bicycle treats that the shared bicycle APP of permit holder, shared bicycle in permit holder mobile phone is called in correspondence mobile phone respectively
GPS module, and shared bicycle is treated that the gps data of permit holder, shared bicycle permit holder is sent to shared bicycle server, its
In to share the gps data of bicycle permit holder be the gps data for being considered as the shared bicycle rented under its shared bicycle APP account；
Main program treats the gps data of permit holder according to shared bicycle in shared bicycle server, searches the shared bicycle of distance and waits to rent
The gps data of each shared bicycle in the range of user's certain distance, and each shared bicycle pair in the range of certain distance
The shared bicycle APP accounts answered；Then main program calls each in the range of the certain distance stored in rental period calculation procedure
The corresponding shared bicycle of the individual shared bicycle APP accounts average rental period, and with each shared bicycle in the range of certain distance
APP accounts actual rental period compares, search actual rental period and shared bicycle average rental period it is close each is shared
Bicycle APP accounts, and be designated as predicting target account respectively；Then main program searches the shared list that each prediction target account is rented
The gps data of car；The gps data for the shared bicycle that last main program rents each prediction target account is sent to shared bicycle
Treat the shared bicycle APP in permit holder mobile phone；
Shared bicycle treats that the shared bicycle that each prediction target account is rented is marked at by the shared bicycle APP in permit holder mobile phone
Predict and remind as empty wagons on GPS map.
The shared bicycle APP accounts actual rental period, main program is receiving lease request in shared bicycle server
And recorded after determining.
Main program abandons shared bicycle APP account of the actual rental period more than the average rental period first by comparing.
The actual rental period approaches with the shared bicycle average rental period, refers to that the actual rental period is less than shared bicycle and put down
The equal rental period, and actual rental period and the average rental period difference of shared bicycle are less than predetermined threshold value.
Claims (4)
1. a kind of shared bicycle empty wagons prediction system for prompting, it is characterised in that：Including main program, rental in shared bicycle server
Time Calculation program, shared bicycle APP, and the d GPS locating module being integrated on shared bicycle, wherein：
Rental period calculation procedure is every in history under each shared bicycle APP accounts of record for each shared bicycle APP accounts
The rental period of its shared bicycle, the shared bicycle average rental period of each shared bicycle APP accounts is obtained by calculating simultaneously
Storage；
Shared bicycle treats that the shared bicycle APP of permit holder, shared bicycle in permit holder mobile phone is called in correspondence mobile phone respectively
GPS module, and shared bicycle is treated that the gps data of permit holder, shared bicycle permit holder is sent to shared bicycle server, its
In to share the gps data of bicycle permit holder be the gps data for being considered as the shared bicycle rented under its shared bicycle APP account；
Main program treats the gps data of permit holder according to shared bicycle in shared bicycle server, searches the shared bicycle of distance and waits to rent
The gps data of each shared bicycle in the range of user's certain distance, and each shared bicycle pair in the range of certain distance
The shared bicycle APP accounts answered；Then main program calls each in the range of the certain distance stored in rental period calculation procedure
The corresponding shared bicycle of the individual shared bicycle APP accounts average rental period, and with each shared bicycle in the range of certain distance
APP accounts actual rental period compares, search actual rental period and shared bicycle average rental period it is close each is shared
Bicycle APP accounts, and be designated as predicting target account respectively；Then main program searches the shared list that each prediction target account is rented
The gps data of car；The gps data for the shared bicycle that last main program rents each prediction target account is sent to shared bicycle
Treat the shared bicycle APP in permit holder mobile phone；
Shared bicycle treats that the shared bicycle that each prediction target account is rented is marked at by the shared bicycle APP in permit holder mobile phone
Predict and remind as empty wagons on GPS map.
2. a kind of shared bicycle empty wagons prediction system for prompting according to claim 1, it is characterised in that：Shared bicycle APP
The account actual rental period, recorded by main program in shared bicycle server after receiving lease request and determining.
3. a kind of shared bicycle empty wagons prediction system for prompting according to claim 1, it is characterised in that：Main program pass through than
It is right, shared bicycle APP account of the actual rental period more than the average rental period is abandoned first.
4. a kind of shared bicycle empty wagons prediction system for prompting according to claim 1, it is characterised in that：The actual rental period
It is close with the shared bicycle average rental period, refer to that the actual rental period is less than shared bicycle average rental period, and actual rent
Enjoy the average rental period difference of bicycle together with the time and be less than predetermined threshold value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710626508.6A CN107248277B (en) | 2017-07-27 | 2017-07-27 | A kind of shared bicycle empty wagons prediction system for prompting |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710626508.6A CN107248277B (en) | 2017-07-27 | 2017-07-27 | A kind of shared bicycle empty wagons prediction system for prompting |
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| Publication Number | Publication Date |
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| CN107248277A true CN107248277A (en) | 2017-10-13 |
| CN107248277B CN107248277B (en) | 2019-11-08 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201710626508.6A Active CN107248277B (en) | 2017-07-27 | 2017-07-27 | A kind of shared bicycle empty wagons prediction system for prompting |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108399212A (en) * | 2018-02-02 | 2018-08-14 | 深圳市微埃智能科技有限公司 | The time series data processing of internet-of-things terminal and neural network trend forecasting method |
| CN109345036A (en) * | 2018-11-01 | 2019-02-15 | 中国联合网络通信集团有限公司 | A kind of application method and device of shared bicycle |
| CN109785030A (en) * | 2017-11-15 | 2019-05-21 | 王江涛 | A kind of shared automobile trip mode |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102693627A (en) * | 2011-03-23 | 2012-09-26 | 电装It研究所 | Traffic flow estimating apparatus, traffic flow estimating method and program |
| JP2016200984A (en) * | 2015-04-10 | 2016-12-01 | 日産自動車株式会社 | Shared vehicle management apparatus |
| CN106462627A (en) * | 2014-12-29 | 2017-02-22 | 谷歌公司 | Analyzing semantic places and related data from a plurality of location data reports |
-
2017
- 2017-07-27 CN CN201710626508.6A patent/CN107248277B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102693627A (en) * | 2011-03-23 | 2012-09-26 | 电装It研究所 | Traffic flow estimating apparatus, traffic flow estimating method and program |
| CN106462627A (en) * | 2014-12-29 | 2017-02-22 | 谷歌公司 | Analyzing semantic places and related data from a plurality of location data reports |
| JP2016200984A (en) * | 2015-04-10 | 2016-12-01 | 日産自動車株式会社 | Shared vehicle management apparatus |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109785030A (en) * | 2017-11-15 | 2019-05-21 | 王江涛 | A kind of shared automobile trip mode |
| CN108399212A (en) * | 2018-02-02 | 2018-08-14 | 深圳市微埃智能科技有限公司 | The time series data processing of internet-of-things terminal and neural network trend forecasting method |
| CN109345036A (en) * | 2018-11-01 | 2019-02-15 | 中国联合网络通信集团有限公司 | A kind of application method and device of shared bicycle |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107248277B (en) | 2019-11-08 |
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Effective date of registration: 20191016 Address after: 233600 B District, Chengxi Industrial Park, Woyang County, Anhui, Bozhou Applicant after: ANHUI ZHENGXI BIAOWANG NEW ENERGY Co.,Ltd. Address before: 230000, room 4, 207 garden pass, Greentown osmanthus garden, hi tech Zone, Hefei, Anhui Applicant before: ANHUI YUNBANGBANG NETWORK TECHNOLOGY CO.,LTD. |
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Effective date of registration: 20240517 Address after: 1510 Beike Building, No. 59 Gaoxin South 9th Road, Gaoxin Community, Gaoxin District, Yuehai Street, Nanshan District, Shenzhen City, Guangdong Province, 518000 Patentee after: Zhongke Manufacturing (Shenzhen) Group Co.,Ltd. Country or region after: China Address before: 233600 B District, West City Industrial Park, Woyang County, Bozhou, Anhui Patentee before: ANHUI ZHENGXI BIAOWANG NEW ENERGY Co.,Ltd. Country or region before: China |