CN108665383A - Big data management method of travelling and system - Google Patents
Big data management method of travelling and system Download PDFInfo
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- CN108665383A CN108665383A CN201810424070.8A CN201810424070A CN108665383A CN 108665383 A CN108665383 A CN 108665383A CN 201810424070 A CN201810424070 A CN 201810424070A CN 108665383 A CN108665383 A CN 108665383A
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/14—Travel agencies
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Abstract
Tourism big data management method and system provided by the invention, by the tourism big data for obtaining the input of tourist attractions management department, obtain the corresponding region in the tourist attractions, same region will be belonged to, carry out merger with the tourism big data in the period, tourism big data is avoided and repeat to count, improve the accuracy rate and authenticity of tourism big data statistics.
Description
【Technical field】
The present invention relates to Destination Management technical field more particularly to a kind of tourism big data management methods and system.
【Background technology】
Existing tourism data is reported by each tourist attractions to district management department, and district management department is according to each tourism scape
The data of point are summarized.
However, many duplicate data in these tourism datas, for example, someone has been played in one day in some city 3
Sight spot, that this people when counting psgrs. No. of in the city in this day has just been counted 3 times, then the city incity trip in this day
Objective number is with regard to mistake of statistics.
【Invention content】
Based on this, it is necessary to provide a kind of Destination Management method that can be reduced travel cost, save travel time.
The embodiment of the present invention provides a kind of tourism big data management method, includes the following steps：
Obtain the tourism data of tourist attractions management department input；
Obtain the corresponding region in the tourist attractions；
Same region will be belonged to, carry out merger with the tourism data in the period.
In one embodiment, described the step of belonging to same region, carrying out merger with the tourism data in the period, includes：
Identical tourism data is merged.
In one embodiment, the identical tourism data includes passenger information.
In one embodiment, after described the step of belonging to same region, carrying out merger with the tourism data in the period
Including：
By the tourism data output after merger, the tourism data as the region.
In one embodiment, the corresponding region in the tourist attractions includes state, province, city, area；The period includes：Year,
The moon, day.
The embodiment of the present invention provides a kind of tourism big data management system, including：
Data module, the tourism data for obtaining the input of tourist attractions management department；
Regions module, for obtaining the corresponding region in the tourist attractions；
Merger module, for that will belong to same region, carry out merger with the tourism data in the period.
In one embodiment, the merger module includes：
Combining unit, for merging identical tourism data.
In one embodiment, the identical tourism data includes passenger information.
In one embodiment, the system also includes：
Output module, for the tourism data after merger to be exported, the tourism data as the region.
In one embodiment, the corresponding region in the tourist attractions includes state, province, city, area；The period includes：Year,
The moon, day.
Above-mentioned tourism big data management method and system, by obtaining the tourism data of tourist attractions management department input,
The corresponding region in the tourist attractions is obtained, same region will be belonged to, carry out merger with the tourism data in the period, avoid tourism
Data duplication statistics, the accuracy rate and authenticity for improving tourism data statistics.
【Description of the drawings】
Fig. 1 is the flow chart of tourism big data management method in one embodiment；
Fig. 2 is the flow chart of tourism big data management method in another embodiment；
Fig. 3 is the block diagram that tourism big data manages system in one embodiment；
Fig. 4 is the block diagram that tourism big data manages system in another embodiment.
【Specific implementation mode】
As shown in Figure 1, the embodiment of the present invention provides a kind of tourism big data management method, include the following steps：
S10 obtains the tourism data of tourist attractions management department input；
S20 obtains the corresponding region in the tourist attractions；
S30 will belong to same region, carry out merger with the tourism data in the period.It specifically includes and judges belonging to tourism data
Region and the period, then the tourism data for belonging to same area and period is added to the data set of the region and period
It closes, identical more parts of data in the data acquisition system is only finally retained into portion, delete extra number, to reach removal weight
The purpose of complex data.Preferably, it includes tourism identification card number which, which is passenger information, then judges to include respectively identification card number
The sight spot played of the corresponding passenger of passenger information belonging to region and the period, the sight spot played then is belonged into same zone
The data acquisition system of the region and period is added in the passenger information including identification card number of domain and period, finally by the data set
More parts of passenger informations of common identity card number only retain a passenger information in conjunction, delete extra number, are gone to reach
Except the purpose for repeating passenger information, the passenger information come out in this way is only the passenger information without repetition on the day of the region.
In one embodiment, described the step of belonging to same region, carrying out merger with the tourism data in the period, includes
Identical tourism data is merged.Such as under the prior art, someone has played 3 scapes in some city in one day
Point, that this people when counting psgrs. No. of in the city in this day has just been counted 3 times, then the city incity trip in this day
Objective number is with regard to mistake of statistics.And in embodiments of the present invention, someone has played 3 sight spots in some city in one day, that
When counting psgrs. No. of in the city in this day, this people can only have been counted 1 time, that is to say, that other 2 secondary and current progress
Merge, all passengers should be counted in this way, then the city incity psgrs. No. of just counts accurate in this day.For another example
It in somewhere some period, shares 1000 people and is playing, wherein everyone has played 4 sight spots, according to existing skill
Art directly summarizes, because under the prior art, often each tourist attractions have directly come out the tourist arrivals at the sight spot
The administrative department in the region is offered, then each sight spot reports 1000 people, the total number of persons that range statistics department statistics come out is natural
It is exactly 4000 people, but the number of passengers come out is 4000 people, this is clearly mistake, and utilizes the embodiment of the present invention
Method, carry out the duplicate removal of identical tourism data, then it is 1000 people to come out, then be to.
In one embodiment, the identical tourism data includes passenger information.
As shown in Fig. 2, in one embodiment, it is described to belong to same region, carry out merger with the tourism data in the period
Step S30 after include：
S40 exports the tourism data after merger, the tourism data as the region.
In one embodiment, the corresponding region in the tourist attractions includes state, province, city, area；The period includes：Year,
The moon, day.
As shown in figure 3, the embodiment of the present invention provides a kind of tourism big data management system, including：
Data module 10, the tourism data for obtaining the input of tourist attractions management department；
Regions module 20, for obtaining the corresponding region in the tourist attractions；
Merger module 30, for that will belong to same region, carry out merger with the tourism data in the period.Specifically include judgement trip
The region belonging to data and period are swum, the region and time then is added in the tourism data for belonging to same area and period
Identical more parts of data in the data acquisition system are finally only retained portion, extra number are deleted, to reach by the data acquisition system of section
The purpose of removal duplicate data is arrived.Preferably, it includes tourism identification card number which, which is passenger information, then judges each packet
Include the region belonging to the sight spot that the corresponding passenger of passenger information of identification card number plays and period, the sight spot that then will be played
Belong to same area and the data acquisition system of the region and period is added in the passenger information including identification card number of period, finally
More parts of passenger informations of common identity card number in the data acquisition system are only retained into a passenger information, delete extra number, from
And having achieved the purpose that removal repeats passenger information, the passenger information come out in this way is only the trip without repetition on the day of the region
Objective information.
In one embodiment, the merger module includes：
Combining unit, for merging identical tourism data.Such as under the prior art, someone swims in one day
3 sight spots in some city have been played, that this people when counting psgrs. No. of in the city in this day has just been counted 3 times, that
The city incity psgrs. No. of is with regard to mistake of statistics in this day.And in embodiments of the present invention, someone has played certain in one day
3 sight spots in a city, that this people when counting psgrs. No. of in the city in this day can only have been counted 1 time, that is,
Say other 2 it is secondary with specifically merge, all passengers should be counted in this way, then the city incity psgrs. No. of in this day
It is accurate with regard to counting.For another example in somewhere some period, shares 1000 people and playing, wherein everyone plays
4 sight spots, directly summarize, because under the prior art, often each tourist attractions are directly by the sight spot according to the prior art
Tourist arrivals have come out the administrative department for being reported to the region, then each sight spot reports 1000 people, range statistics department
The total number of persons come out is exactly 4000 people naturally, but the number of passengers come out is 4000 people, this is clearly mistake,
And utilize the embodiment of the present invention method, carry out the duplicate removal of identical tourism data, then it is 1000 people to come out, then be to.
In one embodiment, the identical tourism data includes passenger information.
As shown in figure 4, in one embodiment, the system also includes：
Output module 40, for the tourism data after merger to be exported, the tourism data as the region.
In one embodiment, the corresponding region in the tourist attractions includes state, province, city, area；The period includes：Year,
The moon, day.
Above-mentioned tourism big data management method and system, by obtaining the tourism data of tourist attractions management department input,
The corresponding region in the tourist attractions is obtained, same region will be belonged to, carry out merger with the tourism data in the period, avoid tourism
Data duplication statistics, the accuracy rate and authenticity for improving tourism data statistics.
Several embodiments of the invention above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
Cannot the limitation to the scope of the claims of the present invention therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention
Protect range.Therefore, the protection domain of patent of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of tourism big data management method, includes the following steps：
Obtain the tourism data of tourist attractions management department input；
Obtain the corresponding region in the tourist attractions；
Same region will be belonged to, carry out merger with the tourism data in the period.
2. tourism big data management method according to claim 1, which is characterized in that the same to region, simultaneously of belonging to
Section in tourism data carry out merger the step of include：
Identical tourism data is merged.
3. tourism big data management method according to claim 2, which is characterized in that the identical tourism data includes
Passenger information.
4. tourism big data management method according to claim 1, which is characterized in that the same to region, simultaneously of belonging to
Include after the step of tourism data in section carries out merger：
By the tourism data output after merger, the tourism data as the region.
5. tourism big data management method as claimed in any of claims 1 to 4, which is characterized in that the tourism
The corresponding region in sight spot includes state, province, city, area；The period includes：Year, the moon, day.
6. a kind of tourism big data manages system, including：
Data module, the tourism data for obtaining the input of tourist attractions management department；
Regions module, for obtaining the corresponding region in the tourist attractions；
Merger module, for that will belong to same region, carry out merger with the tourism data in the period.
7. tourism big data according to claim 6 manages system, the merger module includes：
Combining unit, for merging identical tourism data.
8. tourism big data according to claim 7 manages system, which is characterized in that the identical tourism data includes
Passenger information.
9. tourism big data according to claim 6 manages system, which is characterized in that the system also includes：
Output module, for the tourism data after merger to be exported, the tourism data as the region.
10. the tourism big data according to any one of claim 6 to 9 manages system, which is characterized in that the tourism
The corresponding region in sight spot includes state, province, city, area；The period includes：Year, the moon, day.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810424070.8A CN108665383A (en) | 2018-05-08 | 2018-05-08 | Big data management method of travelling and system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810424070.8A CN108665383A (en) | 2018-05-08 | 2018-05-08 | Big data management method of travelling and system |
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| CN108665383A true CN108665383A (en) | 2018-10-16 |
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| CN201810424070.8A Pending CN108665383A (en) | 2018-05-08 | 2018-05-08 | Big data management method of travelling and system |
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Cited By (3)
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| CN109859551A (en) * | 2019-03-12 | 2019-06-07 | 重庆三峡学院 | One kind is based on multimedia tourism culture resources management and tourist attractions tutoring system |
| CN110334305A (en) * | 2019-06-14 | 2019-10-15 | 中南大学 | A kind of tourist resources wisdom development platform and control method based on big data |
| CN111681140A (en) * | 2020-05-26 | 2020-09-18 | 天津市微卡科技有限公司 | Tourism information management system and management method based on service type robot |
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| CN106372219A (en) * | 2016-09-07 | 2017-02-01 | 大地风景（武汉）信息技术有限公司 | User behavior data association method and system based on heterogeneous platform |
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| CN109859551A (en) * | 2019-03-12 | 2019-06-07 | 重庆三峡学院 | One kind is based on multimedia tourism culture resources management and tourist attractions tutoring system |
| CN110334305A (en) * | 2019-06-14 | 2019-10-15 | 中南大学 | A kind of tourist resources wisdom development platform and control method based on big data |
| CN111681140A (en) * | 2020-05-26 | 2020-09-18 | 天津市微卡科技有限公司 | Tourism information management system and management method based on service type robot |
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