CN106649341B - Data processing method and device - Google Patents
Data processing method and device Download PDFInfo
- Publication number
- CN106649341B CN106649341B CN201510727574.3A CN201510727574A CN106649341B CN 106649341 B CN106649341 B CN 106649341B CN 201510727574 A CN201510727574 A CN 201510727574A CN 106649341 B CN106649341 B CN 106649341B
- Authority
- CN
- China
- Prior art keywords
- temporary data
- data table
- historical database
- writing
- temporary
- 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.)
- Active
Links
- 238000003672 processing method Methods 0.000 title abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 20
- 230000008094 contradictory effect Effects 0.000 abstract description 2
- 238000000926 separation method Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 238000013144 data compression Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000012217 deletion Methods 0.000 description 2
- 230000037430 deletion Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
Images
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
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
-
- 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
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
Abstract
The invention discloses a data processing method and a device, wherein the method comprises the following steps: establishing a corresponding temporary data table for the next cycle after each cycle, and storing original data acquired in real time in the cycle into the corresponding temporary data table; determining at least one temporary data table needing to be written in the temporary data tables except the temporary data table in which the original data is stored according to the corresponding cycle sequence; writing the determined temporary data table into a historical database; when a query instruction is received, the query is carried out only through the historical database, so that the problem that in the prior art, the efficiency between real-time data writing and query display is contradictory, and the data writing efficiency is seriously influenced by an index query mode is solved.
Description
Technical Field
The present invention relates to the field of information processing, and in particular, to a data processing method and apparatus.
Background
With the popularization of GPS (Global Positioning System) devices, most smart phones and vehicles are equipped with GPS modules. The most basic application of the GPS is to provide people with a positioning function, and people can also analyze data using other information in the collected GPS information. For example, the traffic flow of a city in the past week is analyzed by using the time and position information in the vehicle GPS information, so that the degree of road congestion at a certain time can be obtained, and a suitable travel route can be made.
However, as GPS devices become more and more numerous, and as recording time continues to increase, the amount of data will increase dramatically. Most of the existing mainstream data storage methods use a database as a medium, and a large amount of data is stored in one database table. However, in the data processing method, mutual locking waiting is generated when data query and data write-in operations are concurrent, and even if only the vehicle GPS track of the last few days needs to be extracted, a large number of database block files need to be scanned to extract corresponding information.
The main reason for the above problems is that in the prior art, query is performed by using a method of establishing a database index using key fields such as device identifiers or time, and although the query speed is increased by establishing an index in data, the efficiency of real-time data writing is affected, and huge disk space occupation is generated, which causes extra performance overhead, and it is seen that the data writing and query efficiency cannot be well balanced by the existing method.
In summary, the data processing method in the prior art has a contradiction between the efficiency of writing data in real time and the efficiency of query display, and the data writing efficiency is seriously affected by the index query mode.
Disclosure of Invention
The embodiment of the invention provides a data processing method and device, which are used for solving the problems that in the prior art, the efficiency between real-time data writing and query display is contradictory, and the data writing efficiency is seriously influenced by an index query mode.
The method comprises a data processing method, and the method comprises the following steps: establishing a corresponding temporary data table for the next cycle after each cycle, and storing original data acquired in real time in the cycle into the corresponding temporary data table; determining at least one temporary data table needing to be written in the temporary data tables except the temporary data table in which the original data is stored according to the corresponding cycle sequence; writing the determined temporary data table into a historical database; and when a query instruction is received, querying is carried out only through the historical database.
Based on the same inventive concept, the embodiment of the present invention further provides a data processing apparatus, including: the table building unit is used for building a corresponding temporary data table for the next period after each period, and storing original data acquired in real time in the period into the corresponding temporary data table; the determining unit is used for determining at least one temporary data table needing to be written in the temporary data tables except the temporary data table in which the original data is stored according to the corresponding cycle sequence; the writing unit is used for writing the determined temporary data table into a historical database; and the query unit is used for querying only through the historical database when receiving a query instruction.
On one hand, the data processing method provided by the embodiment of the invention sets a period for a main line according to a time axis, establishes a corresponding temporary data table for each period, and stores original data acquired in real time in the period into the corresponding temporary data table; on the other hand, at least one temporary data table needing to be written in the temporary data tables except the temporary data table in which the original data is stored is determined; and writing the determined temporary data table into a historical database. Therefore, the separation of the objects of the query and the write-in actions is completed, namely when a query instruction is received, the query is performed only through the historical database without influencing the continuous creation of the temporary data table, and the data write-in of the temporary data table is performed, so that the separation of the read-write operation of the database is completed, the lossless storage of the original data is ensured, the contradiction between the efficiency of real-time data write-in and the efficiency of query display is solved, the write-in and query efficiency is greatly improved, and the system overhead is saved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a flow chart illustrating a data processing method according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating a temporary data table stored in a file system according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating a temporary data table established by using a time axis as a main line according to an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating data processing steps according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating a data processing apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a schematic flow diagram of a data processing method, and a specific implementation method includes:
step S101, establishing a corresponding temporary data table for the next period every time a period passes, and storing the original data acquired in real time in the period into the corresponding temporary data table.
Step S102, according to the corresponding cycle sequence, at least one temporary data table needing to be written in the temporary data tables except the temporary data table in which the original data is stored is determined.
Step S103, writing the determined temporary data table into a history database.
And step S104, when receiving the query instruction, querying only through the history database.
It should be noted that the raw data generally refers to GPS track data, and generally comes from a device such as a mobile terminal or a vehicle, which has a positioning module and can directly or indirectly report positioning information.
In step S101, a file system is pre-established, and a corresponding temporary data table is established for each period in the file system according to a time axis. Specifically, as shown in fig. 2, the file system is divided into four levels of directory structures according to four levels of year, month, day, and hour, and a set period is assumed to be one hour, so that a corresponding temporary data table is established every hour, a plurality of temporary data tables are generated as time goes by, and then the temporary data table on the same day is placed in the directory structure on the same day, and so on.
And after the establishment mechanism of the temporary data table is completed, traversing the determined temporary data table, performing thinning processing on data in the temporary data table according to a preset level, and writing the temporary data table subjected to thinning identification processing into a historical database.
The reason why the thinning processing is performed is that the original data often contains many repeated data, which brings inconvenience to further data processing and causes the expressed graph to be unsmooth or not to meet the standard. However, the original data without deletion is usually not available in the field of equipment performance analysis, so that the problem of unsmooth original data and vector graphics is considered through a certain rule. The thinning algorithm is to reduce the number of data points to the maximum extent under the condition of ensuring that the shape of the vector curve is not changed. After data are thinned, the sampling data volume can be obviously reduced, the basic shape characteristics of the original shape or the curve can be basically reflected, the transmission efficiency can be improved, and the interaction effect can be improved. The thinning is widely applied to vector data processing and graphic data compression processing in a GIS (Geographic Information System).
The existing thinning processing method is usually Douglas pock Algorithm (Douglas and Peucker Algorithm) and so on, and mainly reduces the data amount by reducing the number of data points representing a single GPS track.
The original data is subjected to thinning treatment by the method, thinning layered identification is completed, and the purpose that the original data meets the layered processing treatment of multiple purposes is achieved.
After the rarefying treatment is finished, all temporary data tables before the set moment are obtained, and the temporary data tables are written into a historical database; or acquiring N temporary data tables before the initially generated temporary data table, and writing the temporary data tables into the historical database.
Specifically, as shown in fig. 3, a plurality of temporary data tables are sequentially generated as time passes, and the history database may be determined in such a manner that all the temporary data tables created before 0 point of a certain date are set to be stored in the history database, or ten thousand temporary data tables after the temporary data table initially generated are set to be stored in the temporary database. Which mode is specifically selected in the actual operation is determined according to actual needs.
After the processing is completed, the contradiction between the efficiency of writing data in real time and the efficiency of query display in the data processing method in the prior art is solved, because when a query instruction is received, only the historical database is queried, specifically, the historical database is queried according to the time in the historical database, or the historical database is queried according to the identifier in the historical database, the historical database is stored in a sub-table mode by taking M times of the period as the minimum unit, and M is an integer.
Specifically, the identification generally refers to establishing an index, and in an actual application scenario, if the original data is from a vehicle, the index is created according to a service requirement, and the index may include one or more of a reporting track number, an alarm number, a driving mileage, and a tire pressure. And then inquiring the position of a certain vehicle or a driving route in a historical database by using the index. The combination of the above query method may be to select the vehicle track information of the set time period according to the reporting time of the GPS, or to select the vehicle track information of the fixed mileage period according to the mileage traveled.
Because the query mode is only carried out in the historical database, even if a plurality of vehicles continue to report the GPS information at the current moment, the real-time data can be stored by utilizing the mode of creating the temporary data table in the embodiment of the invention, and the query and writing actions are not interfered with each other, so that the separation of the read-write operation of the database is completed, the lossless storage of the original data is ensured, the contradiction between the efficiency of the real-time written data and the query display is also solved, and the write-in and query efficiency is greatly improved.
To generally describe the above data processing process, the embodiment of the present invention is further illustrated systematically with reference to fig. 4.
In step 202, a temporary data table before the time of setting date 0 is determined.
And step 204, writing the temporary data table after the thinning processing into a historical database.
After the steps, a query interface is provided for the historical database, and the historical database can be queried according to time and identification.
The executing body of the above steps may be a central processing unit for receiving the GPS information, or a third-party inquiring device connected to the central processing unit.
Based on the same technical concept, the embodiment of the invention also provides a data processing device which can execute the method embodiment. As shown in fig. 5, the apparatus provided in the embodiment of the present invention includes: the table building unit 401, the determining unit 402, the writing unit 403, and the querying unit 404 are specifically:
a table building unit 401, configured to build a corresponding temporary data table for the next cycle every time a cycle passes, and store the original data obtained in real time in the cycle into the corresponding temporary data table;
a determining unit 402, configured to determine, according to the corresponding cycle sequence, at least one temporary data table that needs to be written in the temporary data tables except the temporary data table in which the original data is being stored;
a writing unit 403, configured to write the determined temporary data table into the history database;
the query unit 404 is configured to query only the history database when receiving a query instruction.
It should be noted that the raw data generally refers to GPS track data, and generally comes from a device in which a mobile terminal or a vehicle has a positioning module and can directly or indirectly report positioning information.
Further, the table building unit 401 is specifically configured to: and establishing a file system, and establishing a corresponding temporary data table for each period in the file system according to a time axis. Specifically, as shown in fig. 2, the file system is divided into four levels of directory structures according to four levels of year, month, day, and hour, and a set period is assumed to be one hour, so that a corresponding temporary data table is established every hour, a plurality of temporary data tables are generated as time goes by, and then the temporary data table on the same day is placed in the directory structure on the same day, and so on.
After the establishment mechanism of the temporary data table is completed, the temporary data table needs to be subjected to thinning processing, and the thinning processing unit is configured to: traversing the determined temporary data table, performing thinning processing on the data in the temporary data table according to a preset level, and writing the temporary data table after thinning processing into a historical database.
The reason why the thinning processing is performed is that the original data often contains many repeated data, which brings inconvenience to further data processing and causes the expressed graph to be unsmooth or not to meet the standard. However, the original data without deletion is usually not available in the field of equipment performance analysis, so that the problem of unsmooth original data and vector graphics is considered through a certain rule. The thinning algorithm is to reduce the number of data points to the maximum extent under the condition of ensuring that the shape of the vector curve is not changed. After data are thinned, the sampling data volume can be obviously reduced, the basic shape characteristics of the original shape or the curve can be basically reflected, the transmission efficiency can be improved, and the interaction effect can be improved. The thinning is widely applied to vector data processing and graphic data compression processing in a GIS (Geographic Information System).
The existing thinning processing method is usually Douglas pock Algorithm (Douglas and Peucker Algorithm) and so on, and mainly reduces the data amount by reducing the number of data points representing a single GPS track.
The original data is subjected to thinning treatment by the method, thinning layered identification is completed, and the purpose that the original data meets the layered processing treatment of multiple purposes is achieved.
After the thinning process is completed, the writing unit 403 is specifically configured to: acquiring all temporary data tables before a set moment, and writing the temporary data tables into a historical database; or acquiring N temporary data tables before the initially generated temporary data table, and writing the temporary data tables into the historical database.
Specifically, as shown in fig. 3, a plurality of temporary data tables are sequentially generated as time passes, and the history database may be determined in such a manner that all the temporary data tables created before 0 point of a certain date are set to be stored in the history database, or ten thousand temporary data tables after the temporary data table initially generated are set to be stored in the temporary database. Which mode is specifically selected in the actual operation is determined according to actual needs.
After the above processing is completed, the contradiction between the efficiency of writing data in real time and the efficiency of query display in the data processing method in the prior art is solved, because when a query instruction is received, only the historical database is queried, and the query unit 404 is specifically configured to: and inquiring the historical database according to the time in the historical database, or inquiring the historical database according to the identifier in the historical database, wherein the historical database is stored in a sub-table mode by taking M times of the period as the minimum unit, and M is an integer.
Specifically, the identification generally refers to establishing an index, and in an actual application scenario, if the original data is from a vehicle, the index is created according to a service requirement, and the index may include one or more of a reporting track number, an alarm number, a driving mileage, and a tire pressure. And then inquiring the position of a certain vehicle or a driving route in a historical database by using the index. The combination of the above query method may be to select the vehicle track information of the set time period according to the reporting time of the GPS, or to select the vehicle track information of the fixed mileage period according to the mileage traveled.
Because the query mode is only carried out in the historical database, even if a plurality of vehicles continue to report the GPS information at the current moment, the real-time data can be stored by utilizing the mode of creating the temporary data table in the embodiment of the invention, and the query and writing actions are not interfered with each other, so that the separation of the read-write operation of the database is completed, the lossless storage of the original data is ensured, the contradiction between the efficiency of the real-time written data and the query display is also solved, and the write-in and query efficiency is greatly improved.
To sum up, on one hand, the data processing method provided by the embodiment of the invention sets a period for a main line according to a time axis, establishes a corresponding temporary data table for each period, and stores original data acquired in real time in the period into the corresponding temporary data table; on the other hand, at least one temporary data table needing to be written in the temporary data tables except the temporary data table in which the original data is stored is determined; and writing the determined temporary data table into a historical database. Therefore, the separation of the objects of the query and the write-in actions is completed, namely when a query instruction is received, the query is performed only through the historical database without influencing the continuous creation of the temporary data table, and the data write-in of the temporary data table is performed, so that the separation of the read-write operation of the database is completed, the lossless storage of the original data is ensured, the contradiction of the efficiency between the real-time write-in data and the query display is solved, the write-in efficiency and the query efficiency are greatly improved, the original data is completely reserved through thinning the identification and constructing the index, and the high-efficiency high-speed application requirement on a data application layer is met.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A method of data processing, the method comprising:
establishing a corresponding temporary data table for the next cycle after each cycle, and storing original data acquired in real time in the cycle into the corresponding temporary data table;
determining at least one temporary data table needing to be written in the temporary data tables except the temporary data table in which the original data is stored according to the corresponding cycle sequence;
writing the determined temporary data table into a historical database;
and when a query instruction is received, querying is carried out only through the historical database.
2. The method of claim 1, wherein writing the determined temporary data table to a historical database comprises:
traversing the determined temporary data table, performing thinning processing on the data in the temporary data table according to a preset level, and writing the thinned temporary data table into a historical database.
3. The method of claim 1, wherein said creating a corresponding temporary data table for the next cycle every cycle that passes comprises:
in the file system, a corresponding temporary data table is established for each period according to a time axis.
4. The method of claim 1, wherein determining at least one temporary data table to be written in the temporary data tables other than the temporary data table in which the original data is being stored, in the corresponding cycle order, comprises:
acquiring all temporary data tables before a set moment, and writing the temporary data tables into a historical database;
or the like, or, alternatively,
and acquiring N temporary data tables before the initially generated temporary data table, and writing the temporary data tables into a historical database.
5. The method of claim 1, wherein querying only the historical database upon receipt of a query instruction comprises:
inquiring the historical database according to the time and/or the identification in the historical database;
the historical database is stored in a sub-table mode by taking M times of the period as a minimum unit, and M is an integer.
6. A data processing apparatus, characterized in that the apparatus comprises:
the table building unit is used for building a corresponding temporary data table for the next period after each period, and storing original data acquired in real time in the period into the corresponding temporary data table;
the determining unit is used for determining at least one temporary data table needing to be written in the temporary data tables except the temporary data table in which the original data is stored according to the corresponding cycle sequence;
the writing unit is used for writing the determined temporary data table into a historical database;
and the query unit is used for querying only through the historical database when receiving a query instruction.
7. The apparatus of claim 6, further comprising: a pump-down processing unit;
the pump-down processing unit is used for: traversing the determined temporary data table, performing thinning processing on the data in the temporary data table according to a preset level, and writing the temporary data table after thinning processing into a historical database.
8. The apparatus of claim 6, wherein the table building unit is specifically configured to:
in the file system, a corresponding temporary data table is established for each period according to a time axis.
9. The apparatus of claim 6, wherein the write unit is specifically configured to:
acquiring all temporary data tables before a set moment, and writing the temporary data tables into a historical database;
or the like, or, alternatively,
and acquiring N temporary data tables before the initially generated temporary data table, and writing the temporary data tables into a historical database.
10. The apparatus of claim 6, wherein the query unit is specifically configured to:
inquiring the historical database according to the time and/or the identification in the historical database;
the historical database is stored in a sub-table mode by taking M times of the period as a minimum unit, and M is an integer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510727574.3A CN106649341B (en) | 2015-10-30 | 2015-10-30 | Data processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510727574.3A CN106649341B (en) | 2015-10-30 | 2015-10-30 | Data processing method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106649341A CN106649341A (en) | 2017-05-10 |
| CN106649341B true CN106649341B (en) | 2021-02-26 |
Family
ID=58810928
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510727574.3A Active CN106649341B (en) | 2015-10-30 | 2015-10-30 | Data processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106649341B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110569318A (en) * | 2018-05-16 | 2019-12-13 | 杭州海康威视数字技术股份有限公司 | space-time data storage method, query method, storage device and query device |
| CN110515952A (en) * | 2019-08-28 | 2019-11-29 | 广州高谱技术有限公司 | A kind of storage method of electric power data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101894163A (en) * | 2010-07-23 | 2010-11-24 | 中兴通讯股份有限公司 | Database operating and scheduling method and device for performance data acquisition system |
| CN102541916A (en) * | 2010-12-29 | 2012-07-04 | 沈阳中科博微自动化技术有限公司 | Method for recording and managing historical data of semiconductor equipment |
| CN103049519A (en) * | 2012-12-18 | 2013-04-17 | 曙光信息产业(北京)有限公司 | Data uploading method and data uploading device |
| CN103605805A (en) * | 2013-12-09 | 2014-02-26 | 冶金自动化研究设计院 | Storage method of massive time series data |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040103084A1 (en) * | 2002-11-21 | 2004-05-27 | International Business Machines Corporation | Data management system that provides flexible time-based query capability |
| CN102651029A (en) * | 2012-04-06 | 2012-08-29 | 中国科学院上海应用物理研究所 | Method for creating physical relationship database |
| CN104679821B (en) * | 2014-12-30 | 2018-12-21 | 深圳市海蕴新能源有限公司 | data access processing method and device |
| CN104504116B (en) * | 2014-12-30 | 2018-08-28 | 青岛海信网络科技股份有限公司 | A kind of storage method of real-time data base |
| CN104615763B (en) * | 2015-02-13 | 2018-02-13 | 百度在线网络技术（北京）有限公司 | Middle table updating method and device |
-
2015
- 2015-10-30 CN CN201510727574.3A patent/CN106649341B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101894163A (en) * | 2010-07-23 | 2010-11-24 | 中兴通讯股份有限公司 | Database operating and scheduling method and device for performance data acquisition system |
| CN102541916A (en) * | 2010-12-29 | 2012-07-04 | 沈阳中科博微自动化技术有限公司 | Method for recording and managing historical data of semiconductor equipment |
| CN103049519A (en) * | 2012-12-18 | 2013-04-17 | 曙光信息产业(北京)有限公司 | Data uploading method and data uploading device |
| CN103605805A (en) * | 2013-12-09 | 2014-02-26 | 冶金自动化研究设计院 | Storage method of massive time series data |
Non-Patent Citations (2)
| Title |
|---|
| Design and Application of Experimental Configuration Query Software for EAST NBI;Zhang, Xiaodan等;《JOURNAL OF FUSION ENERGY》;20141031;第33卷(第5期);全文 * |
| 读写分离技术在运营支撑系统中的应用;沙光华等;《计算机工程与应用》;20150630(第12期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106649341A (en) | 2017-05-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9880012B2 (en) | Hybrid road network and grid based spatial-temporal indexing under missing road links | |
| US20170139934A1 (en) | Grid-based geofence data indexing | |
| US20170132264A1 (en) | Trajectory Data Query Method and Apparatus | |
| CN105677793A (en) | Site database establishing method and device, and candidate riding site recommending method and device | |
| WO2017206484A1 (en) | Geographic data presentation method and apparatus | |
| US10969233B2 (en) | Trajectory data compression | |
| CN105426375A (en) | Relationship network calculation method and apparatus | |
| CN101751475B (en) | Method for compressing section records and device therefor | |
| CN111190891A (en) | Multi-semantic track data segmented storage method | |
| CN111881243A (en) | Taxi track hotspot area analysis method and system | |
| CN106649341B (en) | Data processing method and device | |
| CN105095515A (en) | Bucket dividing method, device and equipment supporting fast query of Map-Reduce output result | |
| CN109871419B (en) | Map display method and device | |
| CN112699196B (en) | Track generation method, track generation device, terminal equipment and storage medium | |
| CN113806466A (en) | Path time query method and device, electronic equipment and readable storage medium | |
| CN109325089A (en) | A kind of non-pointing object querying method, device, terminal device and storage medium | |
| CN103344237B (en) | Pedestrian, vehicle navigation route Auto-matching terminal, system and method | |
| CN110471955B (en) | Relation calculation method and device, computer storage medium and terminal | |
| CN103678697A (en) | Reverse index storage method and system thereof | |
| CN116010677B (en) | Spatial index method and device and electronic equipment thereof | |
| CN113936453B (en) | Information identification method and system based on headway | |
| CN111294840B (en) | Private network breakpoint positioning method and device | |
| CN110675648A (en) | Method, system and server for data source acquisition and data deduplication acquisition of parking lot | |
| CN116703132A (en) | Management method and device for dynamic scheduling of shared vehicles and computer equipment | |
| CN104866536A (en) | Compression method and device of number segment records |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20240102 Address after: Room 1120, 11th Floor, Building 3, Courtyard 3, Jinguan North Second Street, Shunyi District, Beijing, 101300 Patentee after: Beijing Zhiwen Artificial Intelligence Software Technology Co.,Ltd. Address before: 100080, Beijing City, Haidian District, No. 52 West Fourth Ring Road, SMIC building 19 Patentee before: Founder International Co.,Ltd. (Beijing) Patentee before: FOUNDER INTERNATIONAL Co.,Ltd. |
|
| TR01 | Transfer of patent right |