CN106203717A - Tax hall intelligent navigation method based on data analysis - Google Patents
Tax hall intelligent navigation method based on data analysis Download PDFInfo
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- CN106203717A CN106203717A CN201610557805.5A CN201610557805A CN106203717A CN 106203717 A CN106203717 A CN 106203717A CN 201610557805 A CN201610557805 A CN 201610557805A CN 106203717 A CN106203717 A CN 106203717A
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- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000007405 data analysis Methods 0.000 title claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims description 16
- 230000003203 everyday effect Effects 0.000 description 4
- 238000012731 temporal analysis Methods 0.000 description 2
- 238000000700 time series analysis Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011017 operating method Methods 0.000 description 1
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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
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- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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Abstract
The invention provides an intelligent navigation method of tax hall based on data analysis, which relates to the field of tax hall selection and navigation.
Description
Technical field
The present invention relates to do tax hall select and navigation field, particularly relate to a kind of based on data analysis do tax hall intelligence
Can air navigation aid.
Background technology
Under the main trend of " lead to city and do ", taxpayer can have more selection to doing tax hall, does tax in analysis big
In the case of Room resource and traffic, recommend be suitable for do tax hall and arrive at route to taxpayer, both reasonably utilized and done
Tax hall resource, also saves the substantial amounts of invalid waiting time for taxpayer.
Summary of the invention
In order to solve this problem, the present invention proposes a kind of tax hall intelligent navigation method of doing based on data analysis, greatly
Room intelligent navigation can make full use of locally stored data and the data from the Internet, on the basis that mass data is analyzed
On, recommend to taxpayer be more suitable for do tax hall and road navigation.
Do tax reservation hall intelligent navigation function taxpayer accesses when, utilize the mode of distributed treatment, respectively
Local history is done tax data, current subscription information, current queueing message, currently does tax hall and handle information and carry out processing point
Analysis, integrates result and prediction with from the traffic information on the Internet the most again, thus what acquisition was more suitable for
Do tax hall and Model choices.
That 1. passes through former years does tax data, analyzes the behavior of taxpayer, selects the less hall of taxpayer, make full use of
While doing tax hall resource, reduce the waiting time of taxpayer.
2. by current subscription information and the analysis handling information, selecting resource has a hall of surplus, thus more preferably
Select suitable hall.
3. obtain traffic conditions by the application of Baidu map API, obtain and consume on the best route and road arrived.
4. integrate above three conclusions, build model, select to recommend hall list and route.
Obtain data
Handle from current history and the data base of information obtains substantial amounts of history handle information data, from the current queuing run
Calling system obtains the queueing message in hall, from doing the subscription information obtaining taxpayer tax reservation system, from the Internet
Baidu map API is utilized to obtain real-time traffic information.
Distributed analysis data
The data of the separate sources of acquisition are carried out distributed analysis, draws the concrete condition in hall, place, current city.According to
The historical data of current slot predicted current slot and may change hall and handle number, then further according to reservation people former years
The specifying information in number and queue number and hall calculates when lobby also has how many resource surplus, according on the Internet
Information draw the road conditions arrived at and time route etc..
Build model, integrated the data obtained conclusion
Build model, distributed the data obtained conclusion is carried out integrated according to different specific weight, on the basis of considering practical situation,
Further data are analyzed.
Draw recommendation hall information and road navigation
Obtain each hall information, be ranked up then according to each hall is analyzed, thus obtain recommendation hall list.
The beneficial effect that technical solution of the present invention is brought
The present invention can be to provide optimal recommendation hall for taxpayer on the basis of mass data analysis and optimal push away
Recommend traffic route, then while reducing the invalid waiting time for taxpayer, also make to do tax resource and be fully utilized.
Accompanying drawing explanation
Fig. 1 is the functional structure chart of the present invention；
Fig. 2 is the logic chart of the present invention；
Fig. 3 is historical data analysis flow chart.
Detailed description of the invention
Below present disclosure is carried out more detailed elaboration:
Do tax hall intelligent recommendation function and can do tax affairs and when the situation and at present of lobby according to each hall in former years
Road conditions be given rational hall recommend and route selection.When user's access function, operating procedure is as follows:
1, do tax data acquisition according to history, former years ought for the previous period in do tax data message.Carry out data cleansing, reject
Then data are carried out data analysis by irrational data, including meansigma methods, peak, minimum analysis, and standard error analysis,
Handle number analysis every day, averagely handle time series analysis every day, thus calculate the obatained score S1 in each hall.
2, according to the number currently preengage and the most queued number, and the opening number of windows and averagely do of hall
The reason time is estimated, the surplus of tax resource, the obatained score S2 in estimation hall are done in hall.
3, according to active user's input position, obtain current traffic situation by Baidu map API and arrive each hall
The time needed and consumption, obtain this score S3 in each hall
4, by the S1 in each hall, S2, S3 integrate further, build model, obtain comprehensive the dividing in each hall, then basis
Score is ranked up, and returns the road navigation arriving at recommendation hall.
Logic chart is as shown in Figure 2.
The data in different pieces of information source carry out distributed treatment analysis, then carry out integrated by result, show that hall pushes away
Recommend list, distributed substantially increase efficiency, focus on and the situation in hall can be carried out correct prediction
It is that current slot in former years is done tax data and hall information that history does tax data analysis, it was predicted that go out current time in this year
Duan Keneng goes to the number in this hall, according to doing tax resource and may do tax affairs and draw the score in this hall.Its flow process such as Fig. 3
Shown in:
In Gregorian calendar data analysis, obtain current slot in former years (10 days), after data cleansing, by irrational data
Fall clearly, then by this information of handling meansigma methods of 10 days, peak, minimum analysis, standard error analysis, handle number every day and divide
Analysis, every day averagely handles the factors such as time series analysis and is analyzed, then according to proportion, these elements and hall history is done tax money
Source combines and draws the score in a hall.
Claims (6)
1. based on data analysis do tax hall intelligent navigation method, it is characterised in that based on the current Zero queuing system run
On the basis of system and Baidu map API, on the basis of realizing the collection of data to taxpayer's behavior analysis, give reservation
Doing tax people recommends be more suitable for do tax hall,
Step is as follows:
1), multi-data source data acquisition
2), distributed data analyzing
3), analysis result focus on, be predicted, build model
4), tax hall and traffic route are most preferably done in acquisition.
Method the most according to claim 1, it is characterised in that
Taxpayer accesses when, utilize the mode of distributed treatment, respectively local history is done tax data, currently preengage letter
Breath, current queueing message, currently do tax hall and handle information and carry out Treatment Analysis, the most again by result and prediction with from
Traffic information on the Internet is integrated, thus obtain be more suitable for do tax hall and Model choices.
Method the most according to claim 2, it is characterised in that
Handle from current history and the data base of information obtains substantial amounts of history handle information data, from the current queuing run
Calling system obtains the queueing message in hall, from doing the subscription information obtaining taxpayer tax reservation system, from the Internet
Baidu map API is utilized to obtain real-time traffic information.
Method the most according to claim 3, it is characterised in that
The data of the separate sources of acquisition are carried out distributed analysis, draws the concrete condition in hall, place, current city；According to
The historical data of current slot predicted current slot and may change hall and handle number, then further according to reservation people former years
The specifying information in number and queue number and hall calculates when lobby also has how many resource surplus, according on the Internet
Information draw the road conditions arrived at and time route.
Method the most according to claim 4, it is characterised in that
Build model, distributed the data obtained conclusion is carried out integrated according to different specific weight, on the basis of considering practical situation,
Further data are analyzed.
Method the most according to claim 5, it is characterised in that
Obtain each hall information, be ranked up then according to each hall is analyzed, thus obtain recommendation hall list.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610557805.5A CN106203717A (en) | 2016-07-15 | 2016-07-15 | Tax hall intelligent navigation method based on data analysis |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610557805.5A CN106203717A (en) | 2016-07-15 | 2016-07-15 | Tax hall intelligent navigation method based on data analysis |
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| Publication Number | Publication Date |
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| CN106203717A true CN106203717A (en) | 2016-12-07 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201610557805.5A Pending CN106203717A (en) | 2016-07-15 | 2016-07-15 | Tax hall intelligent navigation method based on data analysis |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107154969A (en) * | 2017-04-27 | 2017-09-12 | 腾讯科技（深圳）有限公司 | Recommend method and device in destination |
| CN107578112A (en) * | 2017-08-31 | 2018-01-12 | 努比亚技术有限公司 | A kind of reserving method, terminal, server and readable storage medium storing program for executing |
| CN108647827A (en) * | 2018-05-15 | 2018-10-12 | 北京三快在线科技有限公司 | Trade company is lined up prediction technique, device, electronic equipment and the storage medium of duration |
| CN108764562A (en) * | 2018-05-24 | 2018-11-06 | 山东浪潮商用系统有限公司 | A kind of self-help tax point dispositions method based on trajectory analysis |
| CN111626834A (en) * | 2019-02-28 | 2020-09-04 | 百度在线网络技术（北京）有限公司 | Intelligent tax processing method, device, terminal and medium |
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| CN201910087U (en) * | 2010-12-30 | 2011-07-27 | 中国工商银行股份有限公司 | Number calling device and queuing system for bank outlets |
| CN104008594A (en) * | 2014-05-21 | 2014-08-27 | 深圳如果技术有限公司 | Queuing method, client and server |
| WO2016047949A1 (en) * | 2014-09-24 | 2016-03-31 | 삼성에스디에스 주식회사 | Method and apparatus for logistics risk prediction |
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| CN101582180A (en) * | 2008-05-16 | 2009-11-18 | 深圳市华骏电气有限公司 | Remote query-reservation type queuing machine and remote query-reservation queuing method |
| CN201910087U (en) * | 2010-12-30 | 2011-07-27 | 中国工商银行股份有限公司 | Number calling device and queuing system for bank outlets |
| CN104008594A (en) * | 2014-05-21 | 2014-08-27 | 深圳如果技术有限公司 | Queuing method, client and server |
| WO2016047949A1 (en) * | 2014-09-24 | 2016-03-31 | 삼성에스디에스 주식회사 | Method and apparatus for logistics risk prediction |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107154969A (en) * | 2017-04-27 | 2017-09-12 | 腾讯科技（深圳）有限公司 | Recommend method and device in destination |
| WO2018196788A1 (en) * | 2017-04-27 | 2018-11-01 | 腾讯科技（深圳）有限公司 | Destination place recommendation method and apparatus, server and storage medium |
| CN107154969B (en) * | 2017-04-27 | 2022-04-19 | 腾讯科技（深圳）有限公司 | Destination point recommendation method and device |
| CN107578112A (en) * | 2017-08-31 | 2018-01-12 | 努比亚技术有限公司 | A kind of reserving method, terminal, server and readable storage medium storing program for executing |
| CN108647827A (en) * | 2018-05-15 | 2018-10-12 | 北京三快在线科技有限公司 | Trade company is lined up prediction technique, device, electronic equipment and the storage medium of duration |
| CN108647827B (en) * | 2018-05-15 | 2020-03-17 | 北京三快在线科技有限公司 | Merchant queuing time prediction method and device, electronic equipment and storage medium |
| CN108764562A (en) * | 2018-05-24 | 2018-11-06 | 山东浪潮商用系统有限公司 | A kind of self-help tax point dispositions method based on trajectory analysis |
| CN108764562B (en) * | 2018-05-24 | 2022-03-15 | 浪潮软件科技有限公司 | Self-service tax handling point deployment method based on trajectory analysis |
| CN111626834A (en) * | 2019-02-28 | 2020-09-04 | 百度在线网络技术（北京）有限公司 | Intelligent tax processing method, device, terminal and medium |
| CN111626834B (en) * | 2019-02-28 | 2023-12-08 | 百度在线网络技术（北京）有限公司 | Intelligent tax processing method, device, terminal and medium |
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Application publication date: 20161207 |