CN102222109A - Data processing device and method - Google Patents
Data processing device and method Download PDFInfo
- Publication number
- CN102222109A CN102222109A CN2011101776393A CN201110177639A CN102222109A CN 102222109 A CN102222109 A CN 102222109A CN 2011101776393 A CN2011101776393 A CN 2011101776393A CN 201110177639 A CN201110177639 A CN 201110177639A CN 102222109 A CN102222109 A CN 102222109A
- Authority
- CN
- China
- Prior art keywords
- computation rule
- data
- rule
- new
- output data
- 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
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a data processing device and method, wherein the data processing device comprises a rule setting module and a calculation execution module, wherein the rule setting module is used for setting a calculation rule used for limiting a calculation operation and the execution order, input data and output data of the calculation operation; and the calculation execution module is used for executing the calculation operation to the input data according to the execution order so as to update the output data. According to the device and method provided by the invention, the calculation operation and the associated data are extracted to be used as the calculation rule so that a data calculation can be performed according to the calculation rule; moreover, the extracted calculation rule is simple to manage and convenient to modify and operate.
Description
Technical field
The present invention relates to field of computer technology, in particular to a kind of data processing equipment and a kind of data processing method.
Background technology
Budget is filled and presented and is comprised lot of data typing and data computation process in the process.
According to the application mode that general budget table is filled and presented, the data typing and the data computation process of form can mix, and intersect to occur in the process that budget fills and presents, and the data of having finished budget table that combine change.
But, the typing mode of different budget tables is comparatively disperseed, can the different time by different personnel's typing and modification, the staff that most typing personnel of while are departments of basic unit, the spread-sheet data that they are difficult to accurately to understand current modification is relevant with other which form actually, and the renewal that therefore promotes associated data has difficulties.
Present existing technology generally can realize upgrading automatically according to the part of presetting rule, for example in the table, the automatic computing of formula between table, and according to time automatic combined data or the like of the level of index.But consider that budget fills and presents the complexity of process, a lot of data computation are to produce according to the active operation of concrete business need by the personnel of filling and presenting in the process of filling and presenting, and can not simply reduce presetting rule, therefore such automatic refresh mode can't satisfy the requirement that associated data is upgraded fully.
Be head it off, need a kind of new data refresh mode, help data typing person to write down calculated relationship, the calculating path of associated data, and behind data modification, guarantee the renewal of associated data.
Summary of the invention
Technical matters to be solved by this invention is, a kind of new data refresh mode is provided, and helps data typing person to write down calculated relationship, the calculating path of associated data, and guarantees the renewal of associated data behind data modification.
In view of this, the present invention can provide a kind of data processing equipment, comprising: rule is provided with module, and computation rule is set, and wherein, computation rule is used to limit execution sequence, input data, the output data of calculating operation and calculating operation; Calculate execution module, press execution sequence, the input data are carried out calculating operation, so that output data is upgraded.By this technical scheme, with calculating operation and related data thereof, all detach out as computation rule, can carry out data computation by computation rule, and the computation rule that detaches out management is simple, is convenient to retouching operation.
In technique scheme, preferably, also comprise: the association process module, when having the data of change, obtain all related computation rules of incremental data, and notice calculating execution module carries out Data Update according to all related computation rules, wherein, the association process module will import have incremental data in the data computation rule as related computation rule, again with the output data of related computation rule as new incremental data, to obtain new related computation rule, until having got all related computation rules.By this technical scheme, when the data change is arranged, utilize and the direct or indirect relevant computation rule of these data, can realize Data Update.
In technique scheme, preferably, computation rule also is used to limit the attribute of calculating operation, and wherein, the type of attribute comprises: cover, show that the result of calculating operation puts in order the table covering to output data; Non-covering shows that the result of calculating operation does not put in order the table covering to output data.
In technique scheme, preferably, rule is provided with module new computation rule also is set, and the attribute in new computation rule is when being non-covering, and the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with.
In technique scheme, preferably, rule is provided with module new computation rule also is set, and the attribute in the new computation rule is when covering, it is identical or be first computation rule of its subclass to obtain the output data of output data and new computation rule, with the output data of first computation rule data as change, obtain the first related computation rule by the association process module, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with, the first related computation rule is moved to after the new computation rule again, and delete first computation rule, and the output data that obtains output data and new computation rule is identical or be second computation rule of its superset, with the output data of second computation rule data as change, obtain the second related computation rule by the association process module, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with, the second related computation rule is moved to after the new computation rule again, and from the output data of second computation rule, deletion is with the output data in the stylish computation rule.By this technical scheme, when having added new computation rule, also can adjust other rules according to new regulation automatically, do not need human intervention.
The present invention also provides a kind of data processing method, comprising: step 202, computation rule is set, and wherein, computation rule is used to limit execution sequence, input data, the output data of calculating operation and calculating operation; Step 204 is pressed execution sequence, the input data is carried out calculating operation, so that output data is upgraded.By this technical scheme, with calculating operation and related data thereof, all detach out as computation rule, can carry out data computation by computation rule, and the computation rule that detaches out management is simple, is convenient to retouching operation.
In technique scheme, preferably, also comprise: when having the data of change, obtain all related computation rules of incremental data, and carry out Data Update, wherein according to all related computation rules, obtaining all related computation rules specifically comprises: will import have incremental data in the data computation rule as related computation rule, again with the output data of related computation rule as new incremental data, to obtain new related computation rule, until having got all related computation rules.By this technical scheme, when the data change is arranged, utilize and the direct or indirect relevant computation rule of these data, can realize Data Update.
In technique scheme, preferably, computation rule also is used to limit the attribute of calculating operation, and wherein, the type of attribute comprises: cover, show that the result of calculating operation puts in order the table covering to output data; Non-covering shows that the result of calculating operation does not put in order the table covering to output data.
In technique scheme, preferably, also comprise: new computation rule is set, and the attribute in new computation rule is when being non-covering, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with.
In technique scheme, preferably, also comprise: new computation rule is set, and the attribute in new computation rule is when covering, it is identical or be first computation rule of its subclass to obtain the output data of output data and new computation rule, with the output data of first computation rule data as change, to obtain the first related computation rule, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with, the first related computation rule is moved to after the new computation rule again, and delete first computation rule, and the output data that obtains output data and new computation rule is identical or be second computation rule of its superset, with the output data of second computation rule data as change, to obtain the second related computation rule, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with, the second related computation rule is moved to after the new computation rule again, and from the output data of second computation rule, deletion is with the output data in the stylish computation rule.By this technical scheme, when having added new computation rule, also can adjust other rules according to new regulation automatically, do not need human intervention.
According to above technical scheme, can realize a kind of data processing equipment and a kind of data processing method, can help data typing person to write down calculated relationship, the calculating path of associated data, and behind data modification, guarantee the renewal of associated data.
Description of drawings
Fig. 1 is the block diagram of data processing equipment according to an embodiment of the invention;
Fig. 2 is the process flow diagram of data processing method according to an embodiment of the invention;
Fig. 3 is the incidence relation synoptic diagram between the computation rule that is provided with in the data processing method according to an embodiment of the invention;
Fig. 4 is the incidence relation synoptic diagram between the computation rule that is provided with in the data processing method according to an embodiment of the invention;
Fig. 5 is the incidence relation synoptic diagram between the computation rule that is provided with in the data processing method according to an embodiment of the invention.
Embodiment
In order more to be expressly understood above-mentioned purpose of the present invention, feature and advantage, the present invention is further described in detail below in conjunction with the drawings and specific embodiments.
Set forth a lot of details in the following description so that fully understand the present invention, still, the present invention can also adopt other to be different from other modes described here and implement, and therefore, the present invention is not limited to the restriction of following public specific embodiment.
Fig. 1 is the block diagram of data processing equipment according to an embodiment of the invention.
As shown in Figure 1, the present invention can provide a kind of data processing equipment 100, comprising: rule is provided with module 102, and computation rule is set, and wherein, computation rule is used to limit execution sequence, input data, the output data of calculating operation and calculating operation; Calculate execution module 104, press execution sequence, the input data are carried out calculating operation, so that output data is upgraded.By this technical scheme, with calculating operation and related data thereof, all detach out as computation rule, can carry out data computation by computation rule, and the computation rule that detaches out management is simple, is convenient to retouching operation.
In technique scheme, also comprise: association process module 106, when having the data of change, obtain all related computation rules of incremental data, and notice calculating execution module 104 carries out Data Update according to all related computation rules, wherein, association process module 106 will import have incremental data in the data computation rule as related computation rule, again with the output data of related computation rule as new incremental data, to obtain new related computation rule, until having got all related computation rules.By this technical scheme, when the data change is arranged, utilize and the direct or indirect relevant computation rule of these data, can realize Data Update.
In technique scheme, computation rule also is used to limit the attribute of calculating operation, and wherein, the type of attribute comprises: cover, show that the result of calculating operation puts in order the table covering to output data; Non-covering shows that the result of calculating operation does not put in order the table covering to output data.
In technique scheme, rule is provided with module 102 new computation rule also is set, and the attribute in new computation rule is when being non-covering, and the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with.
In technique scheme, rule is provided with module 102 new computation rule also is set, and the attribute in the new computation rule is when covering, it is identical or be first computation rule of its subclass to obtain the output data of output data and new computation rule, with the output data of first computation rule data as change, obtain the first related computation rule by association process module 106, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with, the first related computation rule is moved to after the new computation rule again, and delete first computation rule, and the output data that obtains output data and new computation rule is identical or be second computation rule of its superset, with the output data of second computation rule data as change, obtain the second related computation rule by association process module 106, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with, the second related computation rule is moved to after the new computation rule again, and from the output data of second computation rule, deletion is with the output data in the stylish computation rule.By this technical scheme, when having added new computation rule, also can adjust other rules according to new regulation automatically, do not need human intervention.
Fig. 2 is the process flow diagram of data processing method according to an embodiment of the invention.
As shown in Figure 2, the present invention also provides a kind of data processing method, comprising: step 202, computation rule is set, and wherein, computation rule is used to limit execution sequence, input data, the output data of calculating operation and calculating operation; Step 204 is pressed execution sequence, the input data is carried out calculating operation, so that output data is upgraded.By this technical scheme, with calculating operation and related data thereof, all detach out as computation rule, can carry out data computation by computation rule, and the computation rule that detaches out management is simple, is convenient to retouching operation.
In technique scheme, also comprise: when having the data of change, obtain all related computation rules of incremental data, and carry out Data Update according to all related computation rules, wherein, obtain all related computation rules and specifically comprise: will import have incremental data in the data computation rule as related computation rule, again with the output data of related computation rule as new incremental data, to obtain new related computation rule, until having got all related computation rules.By this technical scheme, when the data change is arranged, utilize and the direct or indirect relevant computation rule of these data, can realize Data Update.
In technique scheme, computation rule also is used to limit the attribute of calculating operation, and wherein, the type of attribute comprises: cover, show that the result of calculating operation puts in order the table covering to output data; Non-covering shows that the result of calculating operation does not put in order the table covering to output data.
In technique scheme, also comprise: new computation rule is set, and the attribute in new computation rule is when being non-covering, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with.
In technique scheme, also comprise: new computation rule is set, and the attribute in new computation rule is when covering, it is identical or be first computation rule of its subclass to obtain the output data of output data and new computation rule, with the output data of first computation rule data as change, to obtain the first related computation rule, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with, the first related computation rule is moved to after the new computation rule again, and delete first computation rule, and the output data that obtains output data and new computation rule is identical or be second computation rule of its superset, with the output data of second computation rule data as change, to obtain the second related computation rule, the execution sequence of new computation rule is placed after the execution sequence of the computation rule that has been provided with, the second related computation rule is moved to after the new computation rule again, and from the output data of second computation rule, deletion is with the output data in the stylish computation rule.By this technical scheme, when having added new computation rule, also can adjust other rules according to new regulation automatically, do not need human intervention.
Below technical scheme of the present invention is described in detail.
To electrical form is example, the data processing method of technical solution of the present invention fill in for spread-sheet data and computation process in the computation rule that may occur, abstractly be described for following several parameters:
1, sequence number: the serial number that priority writes down takes place in the time according to calculating, is used for the execution priority foundation that associated data is upgraded;
2, input table: expression need be calculated because this list data changes, and is generally the table of initiatively selecting when the user carries out calculating operation, can be one or more forms;
3, output table: be subjected to the influence of calculating operation, the form that data change is generally after the user carries out calculating operation, needs to preserve or the table of new data more, and can be one or more forms;
4, compute type: by the analysis to concrete business, can define by enumerating mode, general budget is filled and presented in the business and can be occurred: gathers, types such as decomposition, Currency Type conversion, formula operation, merging, and can be according to concrete professional expansion;
5, parameter: in conjunction with compute type, the part compute type needs simple parameter to cooperate the logic of describing calculating, and for example the Currency Type conversion need be provided with source Currency Type, target Currency Type parameter etc.;
6, attribute-whether cover: describe this calculating operation and whether can directly cover whole table data, calculating operations such as general whole table gathers, decomposition, Currency Type conversion can possess this attribute.
In the process of user's operation, according to operation corresponding service logic, it is a computation rule that the data processing method of technical solution of the present invention will be operated abstract automatically at every turn, and journal is got off, and becomes the foundation that associated data is calculated automatically.
| Sequence number | The input table | The output table | Compute type | Parameter | Whether cover |
| 1 | A1、B1 | A1、B1 | Formula calculates | Formula group 1 | N |
| 2 | B1 | B1’ | The Currency Type conversion | Hongkong dollar to Renminbi | Y |
| 3 | B1’、B2、B3 | B | Gather | Do not have | Y |
| 4 | A1 | A1’ | The Currency Type conversion | Hongkong dollar to Renminbi | Y |
| 5 | A1’、A2、A3 | A | Gather | Do not have | Y |
| 6 | A、B | A、B | Formula calculates | Formula group 1 | N |
For example go up table,, write down a batch total and calculated rule according to the service logic of spreadsheet calculations:
On electronic form template A and the template B, for the formula operation contextual definition between these two templates formula group 1; A1, B1 are respectively the spread-sheet data that template A, template B fill in Hong Kong branch office, need form A2, the A3, B2, the B3 that fill in Beijing Company, Shanghai branch office to be aggregated among form A, the B of main office after these data are filled in.
This batch total is calculated rule and has been represented following calculating operation:
Two electrical forms of A1, B1 are filled in data respectively by the user, carry out formula operation according to the content of formula group 1 then and carry out Data Update;
A1, B1 carry out the Currency Type conversion of Hongkong dollar to Renminbi respectively, and conversion back Data Update is to Table A 1 ', B1 ';
Two tables of A, B gather generation by A1 ', A2, A3 and B1 ', B2, B3 respectively;
Two forms of A, B are carried out formula operation according to the content of formula group 1, and operation result is the data of ultimate demand.
When the user revises the data of A1 form once more, the path of automatically updating data as shown in Figure 3, in the renewal process, the data of form B1, A1 ', B1 ', A, B are updated successively, the terminal point of Data Update is two forms of A, B, has finished once complete associated data and has upgraded automatically.
Simultaneously, practical operation custom according to the user, user's calculating operation can be filled and presented in the process at form constantly to be increased, but considers the related execution efficient of calculating and calculate the content rationality, so the record of computation rule is not a simple clauses and subclauses cumulative process.In the process of recording user calculating operation, need to analyze getting in touch of current operation and existing computation rule, screen and upgrade regular.
Following principle is followed in the renewal of computation rule:
1, the rule of non-covering attribute directly writes down new clauses and subclauses;
2, cover the rule of attribute, in regular, it is identical with this rule output form to find out the output form, or the rule of the subclass of this rule output form, after related calculating of finding out of rule triggering, the deletion respective rule, the association of being found out that rule triggered is calculated number of regulation and is moved to after this rule;
3, cover the rule of attribute, in regular, finding out the output form is the rule of the superset of this rule output form, after related calculating of finding out of rule triggering, with the part deletion identical with this rule data form in the output form of the rule found out, the association that the rule of being found out triggers is calculated number of regulation and is moved to after this rule.
For example, on the basis of aforementioned computation rule table, the user increases a calculating operation again: form B11 ', B12 ' are aggregated among the form B1 '.By above update rule, the renewal process of this record is as follows:
Find need be capped regular: clauses and subclauses 2, form B1 is to the conversion of B1 ';
Find the association that needs to trigger and calculate, be followed successively by clauses and subclauses 3 and gather and clauses and subclauses 6 formula operations;
Deletion clauses and subclauses 2;
After carrying out association calculating, it is last that new regulation is increased to form, and it is last more related computation rule to be increased to form successively.
Computation rule that obtains after the renewal such as following table.
| Sequence number | The input table | The output table | Compute type | Parameter | Whether cover |
| 1 | A1、B1 | A1、B1 | Formula calculates | Formula group 1 | N |
| 4 | A1 | A1’ | The Currency Type conversion | Hongkong dollar to Renminbi | Y |
| 5 | A1’、A2、A3 | A | Gather | Do not have | Y |
| 7 (newly) | B11’、B?12’ | B1’ | Gather | Do not have | Y |
| 8 (former 3) | B1’、B2、B3 | B | Gather | Do not have | Y |
| 9 (former 6) | A、B | A、B | Formula calculates | Formula group 1 | N |
According to the computation rule after upgrading, when the list data of user's modification A1, produce process that associated data upgrades as shown in Figure 4, related path of calculating changes, and the Data Update of A1 form no longer can have influence on B1 ' form.And when the list data of user's modification B11 ', produce process that associated data upgrades then as shown in Figure 5, also can carry out the renewal of associated data according to new calculating path.
According to technical scheme of the present invention, can realize a kind of data processing equipment and a kind of data processing method, can help data typing person to write down calculated relationship, the calculating path of associated data, and behind data modification, guarantee the renewal of associated data.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a data processing equipment is characterized in that, comprising:
Rule is provided with module, and computation rule is set, and wherein, described computation rule is used to limit execution sequence, input data, the output data of calculating operation and described calculating operation;
Calculate execution module,, described input data are carried out described calculating operation, so that described output data is upgraded by described execution sequence.
2. data processing equipment according to claim 1 is characterized in that, also comprises:
The association process module, when having the data of change, obtain all related computation rules of described incremental data, and notify described calculating execution module to carry out Data Update according to described all related computation rules, wherein, described association process module will import have described incremental data in the data computation rule as related computation rule, again with the output data of described related computation rule as new incremental data, to obtain new related computation rule, until having got described all related computation rules.
3. data processing equipment according to claim 2 is characterized in that described computation rule also is used to limit the attribute of described calculating operation, and wherein, the type of described attribute comprises:
Cover, show that the result of described calculating operation puts in order the table covering to described output data;
Non-covering shows that the result of described calculating operation does not put in order the table covering to described output data.
4. data processing equipment according to claim 3, it is characterized in that, described rule is provided with module new computation rule also is set, and the attribute in described new computation rule is when being non-covering, and the execution sequence of described new computation rule is placed after the execution sequence of the computation rule that has been provided with.
5. data processing equipment according to claim 3, it is characterized in that, described rule is provided with module new computation rule also is set, and the attribute in the described new computation rule is when covering, it is identical or be first computation rule of its subclass to obtain the output data of output data and described new computation rule, with the output data of described first computation rule data as change, obtain the first related computation rule by the association process module, the execution sequence of described new computation rule is placed after the execution sequence of the computation rule that has been provided with, the described first related computation rule is moved to after the described new computation rule again, and delete described first computation rule
And the output data that obtains output data and described new computation rule is identical or be second computation rule of its superset, with the output data of described second computation rule data as change, obtain the second related computation rule by the association process module, the execution sequence of described new computation rule is placed after the execution sequence of the computation rule that has been provided with, the described second related computation rule is moved to after the described new computation rule again, and from the output data of described second computation rule, the output data in the described new computation rule of deletion while.
6. a data processing method is characterized in that, comprising:
Step 202 is provided with computation rule, and wherein, described computation rule is used to limit execution sequence, input data, the output data of calculating operation and described calculating operation;
Step 204 by described execution sequence, is carried out described calculating operation to described input data, so that described output data is upgraded.
7. data processing method according to claim 6 is characterized in that, also comprises:
When having the data of change, obtain all related computation rules of described incremental data, and carry out Data Update, wherein, obtain described all related computation rules and specifically comprise according to described all related computation rules:
The computation rule that input is had described incremental data in the data is as related computation rule, again with the output data of described related computation rule as new incremental data, to obtain new related computation rule, until having got described all related computation rules.
8. data processing method according to claim 7 is characterized in that described computation rule also is used to limit the attribute of described calculating operation, and wherein, the type of described attribute comprises:
Cover, show that the result of described calculating operation puts in order the table covering to described output data;
Non-covering shows that the result of described calculating operation does not put in order the table covering to described output data.
9. data processing method according to claim 8 is characterized in that, also comprises:
New computation rule is set, and the attribute in described new computation rule is when being non-covering, the execution sequence of described new computation rule is placed after the execution sequence of the computation rule that has been provided with.
10. data processing method according to claim 9 is characterized in that, also comprises:
New computation rule is set; And the attribute in described new computation rule is when covering; It is identical or be first computation rule of its subset to obtain the output data of output data and described new computation rule; With the output data of described first computation rule data as change; To obtain the first related computation rule; The execution sequence of described new computation rule is placed after the execution sequence of the computation rule that has arranged; The described first related computation rule is moved to after the described new computation rule again; And delete described first computation rule
And the output data that obtains output data and described new computation rule is identical or be second computation rule of its superset, with the output data of described second computation rule data as change, to obtain the second related computation rule, the execution sequence of described new computation rule is placed after the execution sequence of the computation rule that has been provided with, the described second related computation rule is moved to after the described new computation rule again, and from the output data of described second computation rule, the output data in the described new computation rule of deletion while.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110177639.3A CN102222109B (en) | 2011-06-28 | 2011-06-28 | Data processing device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110177639.3A CN102222109B (en) | 2011-06-28 | 2011-06-28 | Data processing device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102222109A true CN102222109A (en) | 2011-10-19 |
| CN102222109B CN102222109B (en) | 2014-05-07 |
Family
ID=44778661
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110177639.3A Active CN102222109B (en) | 2011-06-28 | 2011-06-28 | Data processing device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102222109B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105045576A (en) * | 2015-06-29 | 2015-11-11 | 用友优普信息技术有限公司 | Management method and apparatus for calculation formulae in business document |
| CN105260405A (en) * | 2015-09-22 | 2016-01-20 | 北京云知声信息技术有限公司 | Web crawler method and device |
| CN105989138A (en) * | 2015-02-27 | 2016-10-05 | 北大方正集团有限公司 | Data processing method, data processing system and server |
| CN106910129A (en) * | 2016-08-02 | 2017-06-30 | 阿里巴巴集团控股有限公司 | The processing method of asset data, client and server |
| CN115878647A (en) * | 2023-02-08 | 2023-03-31 | 北京全路通信信号研究设计院集团有限公司 | Data processing method and device, electronic equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060288046A1 (en) * | 2005-06-15 | 2006-12-21 | Interlace Systems, Inc. | Methods and apparatus for maintaining consistency during analysis of large data sets |
| CN101038584A (en) * | 2006-03-14 | 2007-09-19 | 国际商业机器公司 | System and method for performing processing, such as spreadsheet processing |
| CN101071945A (en) * | 2007-03-23 | 2007-11-14 | 国电南京自动化股份有限公司 | Computing method of calculation amount data for power dispatching automation system |
-
2011
- 2011-06-28 CN CN201110177639.3A patent/CN102222109B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060288046A1 (en) * | 2005-06-15 | 2006-12-21 | Interlace Systems, Inc. | Methods and apparatus for maintaining consistency during analysis of large data sets |
| CN101038584A (en) * | 2006-03-14 | 2007-09-19 | 国际商业机器公司 | System and method for performing processing, such as spreadsheet processing |
| CN101071945A (en) * | 2007-03-23 | 2007-11-14 | 国电南京自动化股份有限公司 | Computing method of calculation amount data for power dispatching automation system |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105989138A (en) * | 2015-02-27 | 2016-10-05 | 北大方正集团有限公司 | Data processing method, data processing system and server |
| CN105989138B (en) * | 2015-02-27 | 2019-12-31 | 北大方正集团有限公司 | Data processing method, data processing system and server |
| CN105045576A (en) * | 2015-06-29 | 2015-11-11 | 用友优普信息技术有限公司 | Management method and apparatus for calculation formulae in business document |
| CN105260405A (en) * | 2015-09-22 | 2016-01-20 | 北京云知声信息技术有限公司 | Web crawler method and device |
| CN105260405B (en) * | 2015-09-22 | 2019-08-16 | 北京云知声信息技术有限公司 | A kind of web crawlers method and device |
| CN106910129A (en) * | 2016-08-02 | 2017-06-30 | 阿里巴巴集团控股有限公司 | The processing method of asset data, client and server |
| CN106910129B (en) * | 2016-08-02 | 2021-01-15 | 创新先进技术有限公司 | Asset data processing method, client and server |
| CN115878647A (en) * | 2023-02-08 | 2023-03-31 | 北京全路通信信号研究设计院集团有限公司 | Data processing method and device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102222109B (en) | 2014-05-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102222109B (en) | Data processing device and method | |
| CN107016103A (en) | A kind of method and device for building user's portrait | |
| CN105487864A (en) | Method and device for automatically generating code | |
| US20160012110A1 (en) | General and automatic approach to incrementally computing sliding window aggregates in streaming applications | |
| CN106503222A (en) | Batch based on Excel imports the method and device of management data base | |
| CN112463151B (en) | Visual page construction method based on data source | |
| CN103617355A (en) | Device and method for generating clinical pathways | |
| CN103942184B (en) | Collocation method, generation method and system with addition Item consolidated statement | |
| CN105488073A (en) | Method and device for generating report header | |
| CN109710631A (en) | Auxiliary generates method, apparatus, equipment and the computer storage medium of SQL code | |
| CN107291515A (en) | A kind of custom end intelligent upgrade method and system based on feedback of status | |
| CN108536745A (en) | Tables of data extracting method, terminal, equipment and storage medium based on Shell | |
| CN105574032A (en) | Rule matching operation method and device | |
| CN105653255A (en) | Method arranging report template to automatically generate report files in office frame | |
| CN109376153A (en) | System and method for writing data into graph database based on NiFi | |
| JP7384713B2 (en) | Data completion system and data completion method | |
| CN103473041A (en) | Visualized data processing method and system | |
| CN106325833A (en) | Code generation method for enterprise information management | |
| CN103530134A (en) | Configurable software platform structure | |
| CN102025548B (en) | Multi-version smooth upgrading method and device for user-defined performance indexes | |
| CN109542438A (en) | One kind being based on visual chart development approach | |
| CN104077371A (en) | Method and system for monitoring abnormal data of database | |
| CN106250110A (en) | Set up the method and device of model | |
| CN108182965B (en) | Electronic medical record generation system and method | |
| CN103455466A (en) | Calculation method and system of calculator |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C56 | Change in the name or address of the patentee |
Owner name: YONYOU NETWORK TECHNOLOGY CO., LTD. Free format text: FORMER NAME: UFIDA SOFTWARE CO., LTD. |
|
| CP03 | Change of name, title or address |
Address after: 100094 Haidian District North Road, Beijing, No. 68 Patentee after: Yonyou Network Technology Co., Ltd. Address before: 100094 Beijing city Haidian District North Road No. 68, UFIDA Software Park Patentee before: UFIDA Software Co., Ltd. |