CN104965885A - Information processing method and device - Google Patents
Information processing method and device Download PDFInfo
- Publication number
- CN104965885A CN104965885A CN201510330685.0A CN201510330685A CN104965885A CN 104965885 A CN104965885 A CN 104965885A CN 201510330685 A CN201510330685 A CN 201510330685A CN 104965885 A CN104965885 A CN 104965885A
- Authority
- CN
- China
- Prior art keywords
- inquiry
- polling interval
- value
- accuracy rate
- flight information
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
- G06F16/24534—Query rewriting; Transformation
- G06F16/24539—Query rewriting; Transformation using cached or materialised query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2453—Query optimisation
Abstract
The invention discloses an information processing method and a information processing device. The method comprises: determining at least two different inquiry interval values aiming at a flight course of one date; calculating an inquiry accuracy value when an inquiry caching system inquires flight information of the flight course according to each inquiry interval value in the same pre-set time period respectively; determining a relational expression between an inquiry interval and inquiry accuracy according to the at least two different inquiry interval values and the corresponding inquiry accuracy values; and calculating the inquiry interval values meeting the pre-set inquiry accuracy values according to the relational expression, and outputting the calculated inquiry interval values to the inquiry caching system, so that the inquiry caching system can inquire the flight information according to the calculated inquiry interval values.
Description
Technical field
The application relates to information query technique field, particularly a kind of information processing method and device.
Background technology
In Civil Aviation Industry, for Flight Information (such as, machine profile, air ticket quantity available, takeoff and landing time, flight code etc.) inquiry, all need CRS (the Computer ReservationSystem calling Air China's letter, procurator's Ticket booking system) system, and pay corresponding enquiry fee use, thus swim platform to airline and electric travelling merchants to bring huge financial burden.For this reason, the method in the industry generally by building query caching system reduces enquiry fee and uses.
At present, what most query caching system adopted is simple full course line Fixed Time Interval search algorithm, namely for domestic all course lines of setting sail, carries out one query at interval of fixing duration, by the Flight Information that inquires stored in buffer memory.Like this, when passenger inquires about the Flight Information in a certain course line, query caching system can read corresponding data and be supplied to passenger from buffer memory.Because the Flight Information variation as machine profile is frequent; but preserve in buffer memory be before the machine profile (non real-time) of a time; therefore; passenger submits to during air ticket order and often there will be the inaccurate situation of price; now; query caching system can obtain up-to-date machine profile to CRS system again, and the machine profile in buffer memory is updated to this up-to-date machine profile.
Therefore there is following shortcoming in existing query caching system:
(1) polling interval is the fixed value of artificial setting, if polling interval is oversize, then there is the problem that inquiry accuracy rate is low, if polling interval is too short, then it is high to inquire about accuracy rate, but there is again the problem that inquiry times frequently causes inquiring about costly.Thus, adopt the fixing polling interval inquiry Flight Information of artificial setting, dirigibility is poor, is difficult to practical requirement.
(2) all course lines of setting sail all adopt identical polling interval, but in fact the inquiry of passenger concentrates on popular course line and busy season substantially, like this, for a large amount of unexpected winner course line and the inquiry in dull season, cause the waste of enquiry fee.
Summary of the invention
In view of this, this application provides a kind of information processing method and device.
The technical scheme of the application is as follows:
On the one hand, provide a kind of information processing method, comprising:
For a course line on a date, determine at least two different polling interval values;
Inquiry accuracy rate value during the Flight Information of in the same preset time period query caching system of calculating respectively according to each value inquiry course line, polling interval;
According to the inquiry accuracy rate value of this at least two polling intervals value and correspondence thereof, determine the relational expression of polling interval and inquiry accuracy rate;
According to this relational expression, calculate the polling interval value meeting and preset inquiry accuracy rate value, export the polling interval calculated and be worth to query caching system, so that query caching system is according to the polling interval value inquiry Flight Information calculated.
On the other hand, additionally provide a kind of signal conditioning package, comprising:
Interval determination module, for the course line for a date, determines at least two different polling interval values;
Accuracy rate computing module, for calculating the inquiry accuracy rate value during Flight Information in each value inquiry course line, polling interval that in same preset time period query caching system is determined according to interval determination module respectively;
Relational expression determination module, for the inquiry accuracy rate value according at least two polling interval values and correspondence thereof, determines polling interval and the relational expression of inquiring about accuracy rate;
Calculate output module, for the relational expression determined according to relational expression determination module, calculate the polling interval value meeting and preset inquiry accuracy rate value, export the polling interval calculated and be worth to query caching system, so that query caching system is according to the polling interval value inquiry Flight Information calculated.
In the above technical scheme of the application, for a course line on a date, determine multiple different polling interval value, inquiry accuracy rate value during the Flight Information of in the same preset time period query caching system of calculating respectively according to each this course line of value inquiry, polling interval, then, according to the inquiry accuracy rate value of this multiple queries spacing value and correspondence thereof, determine polling interval and the relational expression of inquiring about accuracy rate, according to this relational expression, calculate the polling interval value meeting default inquiry accuracy rate value and export to query caching system, like this, query caching system just can according to the polling interval value calculated to this Flight Information of CRS system queries.Use the method, the maximum polling interval value meeting and preset inquiry accuracy rate value can be calculated in advance for the advertised route of appointed day, query caching system is made to carry out query caching according to the maximum polling interval value calculated, can the buffer memory accuracy rate of satisfied setting in advance under, very big reduction inquiry times and enquiry fee are used, dirigibility is comparatively strong, can meet the demand of different buffer memory accuracy rate; In addition, owing to being the advertised route for the appointed day, therefore, can for different cold/popular course lines, the different default inquiry accuracy rate value of dull and rush season day settings height, thus obtain different polling interval values, invalid inquiry to reduce polling interval value, thus is reduced in unexpected winner course line, the lower default inquiry accuracy rate value of day settings in dull season, reduces enquiry fee and uses.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the information processing method of the embodiment of the present application;
Fig. 2 is the process flow diagram of the information processing method of another embodiment of the application;
Fig. 3 is the structural representation of the signal conditioning package of the embodiment of the present application.
Embodiment
In order to solve the fixing polling interval inquiry Flight Information that the employing that exists in prior art artificially sets, dirigibility is poor, be difficult to the problem of practical requirement, and, all course lines of setting sail all adopt identical polling interval, for a large amount of unexpected winner course line and the inquiry in dull season, cause the problem of the waste of enquiry fee, provide in the application's following examples a kind of information processing method and a kind of can device to apply the method.
As shown in Figure 1, the information processing method of the embodiment of the present application comprises the following steps:
Step S102, for a course line on a date, determines at least two different polling interval values;
Wherein, according to the enquiry frequency f of this pre-recorded Flight Information, above-mentioned at least two polling interval values can be determined, are designated as: T
1, T
2..., T
m, wherein, M is the sum of the polling interval value determined, the minimum value in M polling interval value is not less than 1/f.
Such as, M polling interval value can be 1/f, 2/f ..., M/f.
Step S104, the inquiry accuracy rate value during Flight Information of in the same preset time period query caching system of calculating respectively according to each this course line of value inquiry, polling interval;
Wherein, when being worth T according to polling interval
iduring to this Flight Information of CRS system queries, the inquiry accuracy rate value P in this preset time period can be calculated according to following formula (1)
i:
P
i＝A
i/Sum (1)
Wherein, Sum represents that, in this preset time period, passenger inquires about the total degree of this Flight Information, A
irepresent in Sum time, the Flight Information in query caching system is the number of times of right value, i=1,2 ..., M.
Concrete, M test model can be built, for simulating query caching system to this Flight Information of CRS system queries.M test model is inquired about according to different polling interval values respectively, and is saved in buffer memory by Query Result.T is worth for according to polling interval
icarry out the test model inquired about, in this preset time period, when there being passenger to inquire about this Flight Information, obtain this Flight Information to CRS system, the value of buffer memory in the value got and test model is compared, if identical, then illustrate that the value of buffer memory in this test model is right value, by A
ivalue add 1.Wherein, A
iinitial value be 0.
By step S104, M can be obtained to the data pair being worth and being inquired about accuracy rate value by polling interval and form, be designated as (T
1, P
1), (T
2, P
2) ..., (T
i, P
i) ..., (T
m, P
m).
Step S106, according to the inquiry accuracy rate value of this at least two polling intervals value and correspondence thereof, determines the relational expression of polling interval and inquiry accuracy rate;
Polling interval t and the relational expression of inquiry accuracy rate ρ are designated as following formula (2):
ρ＝a
n*t
n+a
n-1*t
n-1+...+a
1*t+a
0(2)
Wherein, a
0, a
1..., a
nfor parameter, according to M the data pair obtained in step S104, the occurrence of these parameters can be calculated; N=1,2 ..., as n=1, formula (2) is a linear relation, and when n>=2, formula (2) is polynomial expression.
Parameter a
0, a
1..., a
nleast square method can be used to calculate: order
use function
respectively to a
n, a
n-1..., a
1, a
0ask partial derivative, make these partial derivatives equal zero, just can in the hope of a
0, a
1..., a
nvalue.
Step S108, according to the relational expression obtained in step S106, calculates the polling interval value meeting and preset inquiry accuracy rate value, exports the polling interval calculated and be worth to query caching system, so that query caching system is according to this Flight Information of this polling interval value inquiry.
Flight Information in said method can be machine profile or air ticket quantity available etc.
In the method for the embodiment of the present application, for a course line on a date, determine multiple different polling interval value, inquiry accuracy rate value during the Flight Information of in the same preset time period query caching system of calculating respectively according to each this course line of value inquiry, polling interval, then, according to the inquiry accuracy rate value of this multiple queries spacing value and correspondence thereof, determine polling interval and the relational expression of inquiring about accuracy rate, according to this relational expression, calculate the polling interval value meeting default inquiry accuracy rate value and export to query caching system, like this, query caching system just can according to the polling interval value calculated to this Flight Information of CRS system queries.Use the method, the maximum polling interval value meeting and preset inquiry accuracy rate value can be calculated in advance for the advertised route of appointed day, query caching system is made to carry out query caching according to the maximum polling interval value calculated, can the buffer memory accuracy rate of satisfied setting in advance under, very big reduction inquiry times and enquiry fee are used, dirigibility is comparatively strong, can meet the demand of different buffer memory accuracy rate; In addition, owing to being the advertised route for the appointed day, therefore, can for different cold/popular course lines, the different default inquiry accuracy rate value of dull and rush season day settings height, thus obtain different polling interval values, invalid inquiry to reduce polling interval value, thus is reduced in unexpected winner course line, the lower default inquiry accuracy rate value of day settings in dull season, reduces enquiry fee and uses.
Be machine profile below with Flight Information be example, method is above described in detail.Now, as shown in Figure 2, the information processing method of the embodiment of the present application comprises the following steps:
Step S202, for an advertised route of appointed day, such as, the date is the course line on May 25th, 2015, Beijing to Kunming, inquire about the enquiry frequency (this frequency can be obtained according to historical data) of machine profile according to passenger, determine different M polling interval value;
Such as, the enquiry frequency of passenger is f, then M polling interval value can be respectively 1/f, 2/f ..., M/f.
Step S204, parallel builds M test model, and each test model can according to the polling interval value determined in step S202 to CRS system queries machine profile and buffer memory, and wherein, the polling interval that different test model is corresponding is worth difference;
Visible, test model is equivalent to query caching system to be inquired about according to corresponding polling interval value.
Step S206, opening timing device, in timing course, when there being passenger to inquire about machine profile, obtain up-to-date machine profile to CRS system, and compare, if identical with the machine profile of buffer memory in each test model, then illustrate that the machine profile of buffer memory in this test model is right value, the correct sum of this test model is added 1; This step of continuous execution, until the timing of timer reaches Preset Time;
Step S208, for each test model, calculates the inquiry accuracy rate value during polling interval value inquiry machine profile of this test model according to correspondence;
Wherein, the total degree that the correct sum/passenger obtained in accuracy rate value=step S206 inquires about machine profile is inquired about.
Now, M can be obtained to the data pair being worth and being inquired about accuracy rate value by polling interval and form, be designated as (T respectively
1, P
1), (T
2, P
2) ..., (T
i, P
i) ..., (T
m, P
m).
Step S210, according to (T
1, P
1), (T
2, P
2) ..., (T
i, P
i) ..., (T
m, P
m), utilize regression analysis to determine the quantitative relation formula inquired about between accuracy rate and polling interval;
Suppose, inquiry accuracy rate ρ and polling interval t meets the linear relationship as shown in formula (3):
ρ＝a
1*t+a
0(3)
Wherein, a
1and a
0for parameter, least square method can be used to calculate.Concrete, order
use function
to a
1, a
0ask partial derivative, make these two partial derivatives equal zero, just can in the hope of a
1, a
0value, substitute into formula (3) and can obtain inquiring about the quantitative relation formula between accuracy rate ρ and polling interval t.
Step S212, by the inquiry accuracy rate value P preset
rsubstitute into formula (3), obtain corresponding polling interval value T
r, the polling interval value of current for query caching system use is updated to T
r, thus query caching system can according to T
rto this date machine profile of CRS system queries.
For the method in above-described embodiment, additionally provide in the embodiment of the present application a kind of can signal conditioning package to apply the method, this device can be applied in query caching system, also can as an independently device.
As shown in Figure 3, this signal conditioning package comprises with lower module: interval determination module 311, accuracy rate computing module 312, relational expression determination module 313 and calculating output module 314, wherein:
Interval determination module 311, for the course line for a date, determines at least two different polling interval values;
Accuracy rate computing module 312, for calculating the inquiry accuracy rate value during Flight Information in each value inquiry course line, polling interval that in same preset time period query caching system is determined according to interval determination module 311 respectively;
Relational expression determination module 313, for the inquiry accuracy rate value according to above-mentioned at least two polling intervals value and correspondence thereof, determines polling interval and the relational expression of inquiring about accuracy rate;
Calculate output module 314, for the relational expression determined according to relational expression determination module 313, calculate the polling interval value meeting and preset inquiry accuracy rate value, export the polling interval calculated and be worth to query caching system, so that query caching system is according to the polling interval value inquiry Flight Information calculated.
Wherein, interval determination module 311, according to the enquiry frequency f of pre-recorded Flight Information, determines at least two polling interval values, and wherein, the minimum value at least two polling interval values is not less than 1/f.
Wherein, when being worth T according to polling interval
iduring inquiry Flight Information, accuracy rate computing module 312 calculates the inquiry accuracy rate value P in preset time period
ifor: P
i=A
i/ Sum, wherein, Sum represents in preset time period, and passenger inquires about the total degree of Flight Information, A
irepresent in Sum time, the Flight Information in query caching system is the number of times of right value, i=1,2 ..., M, M represent the sum of the polling interval value determined.
Wherein, relational expression determination module 313 determines that polling interval t with the relational expression of inquiry accuracy rate ρ is: ρ=a
n* t
n+ a
n-1* t
n-1+ ...+a
1* t+a
0; Wherein, n=1,2 ..., a
jfor parameter, a
jobtain according to following formula:
Wherein, Flight Information can be machine profile or air ticket quantity available etc.
To sum up, the above embodiment of the application can reach following technique effect:
In the method for the embodiment of the present application, for a course line on a date, determine multiple different polling interval value, inquiry accuracy rate value during the Flight Information of in the same preset time period query caching system of calculating respectively according to each this course line of value inquiry, polling interval, then, according to the inquiry accuracy rate value of this multiple queries spacing value and correspondence thereof, determine polling interval and the relational expression of inquiring about accuracy rate, according to this relational expression, calculate the polling interval value meeting default inquiry accuracy rate value and export to query caching system, like this, query caching system just can according to the polling interval value calculated to this Flight Information of CRS system queries.Use the method, the maximum polling interval value meeting and preset inquiry accuracy rate value can be calculated in advance for the advertised route of appointed day, query caching system is made to carry out query caching according to the maximum polling interval value calculated, can the buffer memory accuracy rate of satisfied setting in advance under, very big reduction inquiry times and enquiry fee are used, dirigibility is comparatively strong, can meet the demand of different buffer memory accuracy rate; In addition, owing to being the advertised route for the appointed day, therefore, can for different cold/popular course lines, the different default inquiry accuracy rate value of dull and rush season day settings height, thus obtain different polling interval values, invalid inquiry to reduce polling interval value, thus is reduced in unexpected winner course line, the lower default inquiry accuracy rate value of day settings in dull season, reduces enquiry fee and uses.
The foregoing is only the preferred embodiment of the application, not in order to limit the application, within all spirit in the application and principle, any amendment made, equivalent replacements, improvement etc., all should be included within scope that the application protects.
Claims (10)
1. an information processing method, is characterized in that, comprising:
For a course line on a date, determine at least two different polling interval values;
Inquiry accuracy rate value during the Flight Information of in the same preset time period query caching system of calculating respectively according to each described course line of value inquiry, polling interval;
According to the inquiry accuracy rate value of described at least two polling intervals value and correspondence thereof, determine the relational expression of polling interval and inquiry accuracy rate;
According to described relational expression, calculate the polling interval value meeting and preset inquiry accuracy rate value, export the polling interval calculated and be worth to described query caching system, so that described query caching system is according to the described described Flight Information of polling interval value inquiry calculated.
2. method according to claim 1, is characterized in that, according to the enquiry frequency f of pre-recorded described Flight Information, at least two polling interval values described in determining, wherein, the minimum value in described at least two polling interval values is not less than 1/f.
3. method according to claim 1, is characterized in that, the method for the inquiry accuracy rate value during Flight Information of in the same preset time period query caching system of calculating respectively according to each described course line of value inquiry, polling interval comprises:
When being worth T according to polling interval
iwhen inquiring about described Flight Information, the inquiry accuracy rate value P in described preset time period
ifor:
P
i=A
i/ Sum, wherein, Sum represents that, in described preset time period, passenger inquires about the total degree of described Flight Information, A
irepresent in Sum time, the Flight Information in described query caching system is the number of times of right value, i=1,2 ..., M, M represent the sum of the polling interval value determined.
4. method according to claim 1, is characterized in that, determines that polling interval t with the relational expression of inquiry accuracy rate ρ is:
ρ=a
n* t
n+ a
n-1* t
n-1+ ...+a
1* t+a
0; Wherein, n=1,2 ..., a
jfor parameter, a
jobtain according to following formula:
5. method according to any one of claim 1 to 4, is characterized in that, described Flight Information is machine profile or air ticket quantity available.
6. a signal conditioning package, is characterized in that, comprising:
Interval determination module, for the course line for a date, determines at least two different polling interval values;
Accuracy rate computing module, for calculating the inquiry accuracy rate value during Flight Information in each described course line of value inquiry, polling interval that in same preset time period query caching system is determined according to described interval determination module respectively;
Relational expression determination module, for the inquiry accuracy rate value according to described at least two polling intervals value and correspondence thereof, determines polling interval and the relational expression of inquiring about accuracy rate;
Calculate output module, for the relational expression determined according to described relational expression determination module, calculate the polling interval value meeting and preset inquiry accuracy rate value, export the polling interval calculated to be worth to described query caching system, so that described query caching system is according to the described described Flight Information of polling interval value inquiry calculated.
7. device according to claim 6, it is characterized in that, described interval determination module according to the enquiry frequency f of pre-recorded described Flight Information, at least two polling interval values described in determining, wherein, the minimum value in described at least two polling interval values is not less than 1/f.
8. device according to claim 6, is characterized in that, when being worth T according to polling interval
iwhen inquiring about described Flight Information, described accuracy rate computing module calculates the inquiry accuracy rate value P in described preset time period
ifor:
P
i=A
i/ Sum, wherein, Sum represents that, in described preset time period, passenger inquires about the total degree of described Flight Information, A
irepresent in Sum time, the Flight Information in described query caching system is the number of times of right value, i=1,2 ..., M, M represent the sum of the polling interval value determined.
9. device according to claim 6, is characterized in that, described relational expression determination module determines that polling interval t with the relational expression of inquiry accuracy rate ρ is:
ρ=a
n* t
n+ a
n-1* t
n-1+ ...+a
1* t+a
0; Wherein, n=1,2 ..., a
jfor parameter, a
jobtain according to following formula:
10. the device according to any one of claim 6 to 9, is characterized in that, described Flight Information is machine profile or air ticket quantity available.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510330685.0A CN104965885B (en) | 2015-06-15 | 2015-06-15 | Information processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510330685.0A CN104965885B (en) | 2015-06-15 | 2015-06-15 | Information processing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104965885A true CN104965885A (en) | 2015-10-07 |
| CN104965885B CN104965885B (en) | 2018-03-23 |
Family
ID=54219922
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510330685.0A Active CN104965885B (en) | 2015-06-15 | 2015-06-15 | Information processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104965885B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109961323A (en) * | 2019-03-19 | 2019-07-02 | 深圳市活力天汇科技股份有限公司 | A kind of flight fuel oil takes real time updating method |
| CN112307328A (en) * | 2020-09-24 | 2021-02-02 | 北京沃东天骏信息技术有限公司 | Method and apparatus for processing information |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101458706A (en) * | 2008-11-11 | 2009-06-17 | 航旅信通（北京）信息技术有限公司 | Method and system for precisely enquiring GDS flight caching data |
| US7676684B2 (en) * | 2006-04-11 | 2010-03-09 | Fujitsu Microelectronics Limited | Semiconductor device and signal processing method for synchronizing data with a data strobe signal |
| CN102129392A (en) * | 2010-01-18 | 2011-07-20 | 扬智科技股份有限公司 | Method for adaptive frequency regulation and electronic device related thereto |
| CN103593426A (en) * | 2013-11-07 | 2014-02-19 | 北京奇虎科技有限公司 | Commodity searching and providing method and device |
-
2015
- 2015-06-15 CN CN201510330685.0A patent/CN104965885B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7676684B2 (en) * | 2006-04-11 | 2010-03-09 | Fujitsu Microelectronics Limited | Semiconductor device and signal processing method for synchronizing data with a data strobe signal |
| CN101458706A (en) * | 2008-11-11 | 2009-06-17 | 航旅信通（北京）信息技术有限公司 | Method and system for precisely enquiring GDS flight caching data |
| CN102129392A (en) * | 2010-01-18 | 2011-07-20 | 扬智科技股份有限公司 | Method for adaptive frequency regulation and electronic device related thereto |
| CN103593426A (en) * | 2013-11-07 | 2014-02-19 | 北京奇虎科技有限公司 | Commodity searching and providing method and device |
Non-Patent Citations (1)
| Title |
|---|
| 曹卫东等: "一种结合 Ｂａｙｅｓ估计的 ＮＨＰＰ航班查询软件可靠性评估方法", 《计算机工程与科学》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109961323A (en) * | 2019-03-19 | 2019-07-02 | 深圳市活力天汇科技股份有限公司 | A kind of flight fuel oil takes real time updating method |
| CN112307328A (en) * | 2020-09-24 | 2021-02-02 | 北京沃东天骏信息技术有限公司 | Method and apparatus for processing information |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104965885B (en) | 2018-03-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104766188A (en) | Logistics distribution method and logistics distribution system | |
| Vigos et al. | Real-time estimation of vehicle-count within signalized links | |
| Baker et al. | Representation of model error in a convective-scale ensemble prediction system | |
| Silver et al. | The exact fill rate in a periodic review base stock system under normally distributed demand | |
| CN108133619A (en) | Method, apparatus, storage medium and the terminal device of Parking prediction | |
| CN103646356A (en) | Method for determining loss rate of integrated network in extra-high-voltage alternating-current trans-regional power transaction | |
| CN103854518A (en) | Calculating method of space-time flow of air route network nodes | |
| CN101996248B (en) | Address lookup method and device | |
| CN104794191A (en) | Method and device for updating air ticket data | |
| Croley II | Gamma synthetic hydrographs | |
| CN103795697A (en) | Network medium information release effect simulation method and system | |
| CN104965885A (en) | Information processing method and device | |
| CN105374217A (en) | Signal lamp self-adaptive control method based on road intersection average saturation | |
| CN103745388A (en) | Advertisement splitting method and system | |
| CN114083770A (en) | Method, device, equipment and storage medium for adjusting process parameters and training models | |
| CN106295872A (en) | The data processing method of air station flight ripple based on maximum transfer machine meeting and device | |
| CN109359360A (en) | A kind of structural stress processing method based on local feature | |
| CN105656029A (en) | Method and device for determining load points outside power supply radius of low-voltage power supply region | |
| CN109961323B (en) | Flight fuel cost real-time updating method | |
| CN111723114B (en) | Stream statistics method and device and electronic equipment | |
| CN106295925A (en) | The automatic comprehensive review method and system of master data in the Internet finance wind control examination & verification | |
| CN116308885B (en) | Water consumption planning index verification system | |
| Dongfang et al. | Critical traffic volume warrant of signal installing at equal weight intersections | |
| CN104298693A (en) | Air ticket information inquiring method and system | |
| Bin et al. | Reliability modeling and simulation of signalized intersections |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |