CN107329849A - A kind of data verification method and system based on Java systems - Google Patents
A kind of data verification method and system based on Java systems Download PDFInfo
- Publication number
- CN107329849A CN107329849A CN201710545545.4A CN201710545545A CN107329849A CN 107329849 A CN107329849 A CN 107329849A CN 201710545545 A CN201710545545 A CN 201710545545A CN 107329849 A CN107329849 A CN 107329849A
- Authority
- CN
- China
- Prior art keywords
- verification
- data
- verified
- rule
- general
- 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
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0709—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
-
- 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
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/31—Programming languages or programming paradigms
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Computing Systems (AREA)
- Computer Hardware Design (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Debugging And Monitoring (AREA)
- Stored Programmes (AREA)
Abstract
The present invention discloses a kind of data verification method based on Java systems and system.Method includes:Obtain data to be verified;Front end verification is carried out to the data to be verified using the general verification storehouse of foundation;The general verification storehouse includes general verification rule, the verification rule that the general verification rule is followed for needed for numerous types of data when being verified;If the check results of the front end verification pass through for verification, by the data transfer to be verified to backstage, backstage verification is carried out to the data to be verified using the general verification storehouse;If the check results of the front end verification do not pass through for verification, user is pointed out to re-type data.Data verification method and system disclosed by the invention based on Java systems, can be used for the data check of numerous types of data, the data check of the data platform of many data types can be suitable for inclusion in, with versatility.
Description
Technical field
The present invention relates to technical field of data check, more particularly to a kind of data verification method based on Java systems and
System.
Background technology
Big data platform needs user to input multiple types of data, and needs to ensure the safety of every kind of data of input
Property, it is therefore desirable to the data to input are verified.But existing data verification method may be only available for specific data class
Type, for data type it is more single.
The content of the invention
It is an object of the invention to provide a kind of data verification method based on Java systems and system, it can be used for a variety of numbers
According to the data check of type, the data check of the data platform of many data types can be suitable for inclusion in, with versatility.
To achieve the above object, the invention provides following scheme:
A kind of data verification method based on Java systems, including:
Obtain data to be verified;
Front end verification is carried out to the data to be verified using the general verification storehouse of foundation;The general verification storehouse is comprising logical
The verification rule followed with verification rule, the general verification rule for needed for numerous types of data when being verified;
If the check results of the front end verification pass through for verification, the data transfer to be verified to backstage is utilized
The general verification storehouse carries out backstage verification to the data to be verified;
If the check results of the front end verification do not pass through for verification, user is pointed out to re-type data.
Optionally, the method for building up in the general verification storehouse is:
Obtain the verification demand of various data types;
The verification demand is carried out to arrange extensive, general verification rule is summarized;
By the general rule creation that verifies into general verification storehouse;
Using general verification rule described in regular expression and written in JavaScript, double format check rules are obtained;
Described pair of format check rule is stored, the general verification storehouse is created into.
Optionally, it is described to obtain data to be verified, specifically include:
Using template engine by the acquisition critical transition of the data to be verified be dynamic interface;
The data to be verified are obtained from the dynamic interface.
Optionally, it is described that front end verification is carried out to the data to be verified using the general verification storehouse set up, specifically include:
The front end verification rule being consistent with the data type of the data to be verified is screened from the general verification storehouse, is obtained
To front end rule to be verified;
Front end verification is carried out to the data to be verified using front end rule to be verified.
Optionally, it is described that backstage verification is carried out to the data to be verified using the general verification storehouse, specifically include:
The backstage verification rule being consistent with the data type of the data to be verified is screened from the general verification storehouse, is obtained
To backstage rule to be verified;
The backstage rule to be verified in the general verification storehouse is configured using blocker, backstage configuration is obtained
Verification rule;
Backstage verification is carried out to the data to be verified using backstage configuration verification rule;
If the check results of the backstage verification pass through for verification, data check process is completed;
If the check results of the backstage verification do not pass through for verification, user is pointed out verification failure.
The invention also discloses a kind of data verification system based on Java systems, including:
Data acquisition module, for obtaining data to be verified;
Front end correction verification module, for carrying out front end verification to the data to be verified using the general verification storehouse set up;Institute
State general verification storehouse and include general verification rule, the general verification rule is abided by for needed for numerous types of data when being verified
The verification rule followed;
Backstage correction verification module, if passing through for the check results that the front end is verified for verification, by the number to be verified
According to transmitting to backstage, backstage verification is carried out to the data to be verified using the general verification storehouse;
Feedback module, if not passing through for verification for the check results that the front end is verified, points out user to re-type
Data.
Optionally, the data verification system also sets up module including verification storehouse, and module is set up in the verification storehouse to be used to build
Stand the general verification storehouse;The verification storehouse is set up module and specifically included:
Demand acquiring unit, the verification demand for obtaining various data types;
Extensive unit is arranged, for carrying out arranging extensive to the verification demand, general verification rule is summarized;
Creating unit, for by the general verification rule creation into general verification storehouse;
Double forms write unit, for using general verification rule described in regular expression and written in JavaScript, obtaining
To double format checks rule;
Memory cell, for described pair of format check rule to be stored, creates into the general verification storehouse.
Optionally, the data acquisition module, is specifically included:
Critical transition unit, is dynamic boundary for utilizing template engine by the acquisition critical transition of the data to be verified
Face;
Data capture unit, for obtaining the data to be verified from the dynamic interface.
Optionally, the front end correction verification module, is specifically included:
Front end verifies Rules Filtering unit, for the screening from the general verification storehouse and the data of the data to be verified
The front end verification rule that type is consistent, obtains front end rule to be verified;
Front end verification unit, for carrying out front end verification to the data to be verified using front end rule to be verified.
Optionally, the backstage correction verification module, is specifically included:
Backstage verifies Rules Filtering unit, for the screening from the general verification storehouse and the data of the data to be verified
The backstage verification rule that type is consistent, obtains backstage rule to be verified;
Dispensing unit, for being matched somebody with somebody using blocker to the backstage rule to be verified in the general verification storehouse
Put, obtain backstage configuration verification rule;
Backstage verification unit, for carrying out backstage school to the data to be verified using backstage configuration verification rule
Test;If the check results of the backstage verification pass through for verification, data check process is completed;If the verification of the backstage verification
As a result do not pass through for verification, then point out user verification failure.
The specific embodiment provided according to the present invention, the invention discloses following technique effect:Disclosed in the present patent application
Data verification method and system based on Java systems, the verification demand to various data types carry out arranging extensive, summarize
General verification rule, and a general verification storehouse for including general verification rule is set up, can be real using the general verification storehouse
The data check of existing numerous types of data, and because the verification rule in the general verification storehouse of the present invention is more general, therefore
Even if same data platform includes numerous types of data, data verification method of the invention and system can also be applicable.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment
The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention
Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these accompanying drawings
Obtain other accompanying drawings.
Fig. 1 is the method flow diagram of the data verification method embodiment of the invention based on Java systems;
Fig. 2 is the general verification storehouse method for building up flow of the data verification method embodiment of the invention based on Java systems
Figure;
Fig. 3 is the system construction drawing of the data verification system embodiment of the invention based on Java systems.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, belongs to the scope of protection of the invention.
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real
Applying mode, the present invention is further detailed explanation.
Fig. 1 is the method flow diagram of the data verification method embodiment of the invention based on Java systems.
Referring to Fig. 1, the data verification method based on Java systems is somebody's turn to do, including:
Step 101:Obtain data to be verified;
The step 101 is specifically included:
Using template engine, the acquisition critical transition of the data to be verified is dynamic interface by such as FreeMarker;
The data to be verified are obtained from the dynamic interface.
The conversion of dynamic interface is realized by template engine, so as to be conducive to more rapidly obtaining data to be verified.
Step 102:Front end verification is carried out to the data to be verified using the general verification storehouse of foundation;The general verification
Storehouse includes general verification rule, the verification rule that the general verification rule is followed for needed for numerous types of data when being verified
Then;
The step 102, is specifically included:
The front end verification rule being consistent with the data type of the data to be verified is screened from the general verification storehouse, is obtained
To front end rule to be verified;
Front end verification is carried out to the data to be verified using front end rule to be verified.
Step 103:If the check results of front end verification pass through for verification, by the data transfer to be verified to rear
The data to be verified are carried out backstage verification by platform using the general verification storehouse;
Step 104:If the check results of the front end verification do not pass through for verification, user is pointed out to re-type data.
Described in the step 103 carries out backstage verification, tool to the data to be verified using the general verification storehouse
Body includes:
The backstage verification rule being consistent with the data type of the data to be verified is screened from the general verification storehouse, is obtained
To backstage rule to be verified;
The backstage rule to be verified in the general verification storehouse is configured using blocker, backstage configuration is obtained
Verification rule;The blocker is based on java reflex mechanisms, is treated for reading backstage rule to be verified, and to the backstage
Verification rule is configured.
Backstage verification is carried out to the data to be verified using backstage configuration verification rule;
If the check results of the backstage verification pass through for verification, data check process is completed;
If the check results of the backstage verification do not pass through for verification, user is pointed out verification failure.
When being verified using general verification storehouse to backstage, backstage rule to be verified is configured by blocker, realizes flexibly, leads to
It is fairly obvious with property.
Fig. 2 is the general verification storehouse method for building up flow of the data verification method embodiment of the invention based on Java systems
Figure.
Referring to Fig. 2, the method for building up in the general verification storehouse is:
Step 201:Obtain the verification demand of various data types;
The verification demand of the various data types includes the verification demand under each verification scene.Such as vehicle scene
Verification demand includes must defeated item non-NULL verification, numerical significance verification, the verification of configuration dictionary, repetition values verification, the regular school of car plate
Test;The verification demand of depot's scene includes must defeated item non-NULL verification, numerical significance verification, the verification of configuration dictionary, repetition values
Rule verification etc. is closed in verification, depot;The verification demand of unit scene includes must defeated item non-NULL verification, numerical significance verification, configuration
Dictionary verification, repetition values verification, the verification of unit naming rule etc.;The verification demand of terminal scene include must the verification of defeated item non-NULL,
Numerical significance verification, the verification of configuration dictionary, repetition values verification, the verification of terminal compliance etc..
Step 202:The verification demand is carried out to arrange extensive, general verification rule is summarized;
For example, according to vehicle scene, depot's scene, unit scene and terminal scene, can summarize under four kinds of scenes
Having verification demand is:Must defeated item non-NULL verification, numerical significance verification, the verification of configuration dictionary, repetition values verification.So, then
Can be by:Must the verification of defeated item non-NULL, numerical significance verification, the verification of configuration dictionary, repetition values verification be used as general verification rule.
Step 203:By the general rule creation that verifies into general verification storehouse;
Step 204:Using general verification rule described in regular expression and written in JavaScript, double format checks are obtained
Rule;
Step 205:Described pair of format check rule is stored, the general verification storehouse is created into.
The present invention carries out arranging extensive by the verification demand to various data types, summarizes general verification rule, and
A general verification storehouse for including general verification rule is set up, numerous types of data can be realized using the general verification storehouse
Data check, and because the verification rule in the general verification storehouse of the present invention is more general, so even same data are flat
Platform includes numerous types of data, and data verification method of the invention can also be applicable.The general verification storehouse can be according to verification field
Scape is voluntarily created so that the versatility of holistic approach is more obvious.The general verification storehouse can both realize that front end verification could also
Realize that backstage is verified, call flexibly, it is easy to use, it is to avoid front end verification and backstage are verified using the numerous of respective method of calibration
It is trivial.
In the step 102, the front end verification rule is using regular expression and written in JavaScript
JavaScript scripts.
Fig. 3 is the system construction drawing of the data verification system embodiment of the invention based on Java systems.
The invention also discloses a kind of data verification system based on Java systems, including:
Data acquisition module 301, for obtaining data to be verified;
Front end correction verification module 302, for carrying out front end verification to the data to be verified using the general verification storehouse set up;
The general verification storehouse includes general verification rule, and the general verification rule is for needed for numerous types of data when being verified
The verification rule followed;
Backstage correction verification module 303, will be described to be verified if passing through for the check results that the front end is verified for verification
Data transfer carries out backstage verification using the general verification storehouse to backstage to the data to be verified;
Front end feedback module 304, if not passing through for verification for the check results that the front end is verified, points out user weight
New logging data.
The data verification system also includes verification storehouse and sets up module 305, and module 305 is set up in the verification storehouse to be used to set up
The general verification storehouse;The verification storehouse is set up module 305 and specifically included:
Demand acquiring unit, the verification demand for obtaining various data types;
Extensive unit is arranged, for carrying out arranging extensive to the verification demand, general verification rule is summarized;
Creating unit, for by the general verification rule creation into general verification storehouse;
Double forms write unit, for using general verification rule described in regular expression and written in JavaScript, obtaining
To double format checks rule;
Memory cell, for described pair of format check rule to be stored, creates into the general verification storehouse.
The data acquisition module 301, is specifically included:
Critical transition unit, is dynamic boundary for utilizing template engine by the acquisition critical transition of the data to be verified
Face;
Data capture unit, for obtaining the data to be verified from the dynamic interface.
The front end correction verification module 302, is specifically included:
Front end verifies Rules Filtering unit, for the screening from the general verification storehouse and the data of the data to be verified
The front end verification rule that type is consistent, obtains front end rule to be verified;
Front end verification unit, for carrying out front end verification to the data to be verified using front end rule to be verified.
The backstage correction verification module 303, is specifically included:
Backstage verifies Rules Filtering unit, for the screening from the general verification storehouse and the data of the data to be verified
The backstage verification rule that type is consistent, obtains backstage rule to be verified;
Dispensing unit, for being matched somebody with somebody using blocker to the backstage rule to be verified in the general verification storehouse
Put, obtain backstage configuration verification rule;
Backstage verification unit, for carrying out backstage school to the data to be verified using backstage configuration verification rule
Test;If the check results of the backstage verification pass through for verification, data check process is completed;If the verification of the backstage verification
As a result do not pass through for verification, then point out user verification failure.
The present patent application disclosed data verification method and system based on Java systems, the verification to various data types
Demand carries out arranging extensive, summarizes general verification rule, and set up a general verification storehouse for including general verification rule, profit
The data check of numerous types of data can be realized with the general verification storehouse, and due in the general verification storehouse of the present invention
Verification rule is more general, so even same data platform includes numerous types of data, data verification method of the invention
And system can also be applicable.
The embodiment of each in this specification is described by the way of progressive, and what each embodiment was stressed is and other
Between the difference of embodiment, each embodiment identical similar portion mutually referring to.For system disclosed in embodiment
For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part
It is bright.
Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said
The bright method and its core concept for being only intended to help to understand the present invention;Simultaneously for those of ordinary skill in the art, foundation
The thought of the present invention, will change in specific embodiments and applications.In summary, this specification content is not
It is interpreted as limitation of the present invention.
Claims (10)
1. a kind of data verification method based on Java systems, it is characterised in that including:
Obtain data to be verified;
Front end verification is carried out to the data to be verified using the general verification storehouse of foundation;The general verification storehouse includes general school
Test rule, the verification rule that the general verification rule is followed for needed for numerous types of data when being verified;
If the check results of front end verification pass through for verification, by the data transfer to be verified to backstage, using described
General verification storehouse carries out backstage verification to the data to be verified;
If the check results of the front end verification do not pass through for verification, user is pointed out to re-type data.
2. a kind of data verification method based on Java systems according to claim 1, it is characterised in that the general school
The method for building up for testing storehouse is:
Obtain the verification demand of various data types;
The verification demand is carried out to arrange extensive, general verification rule is summarized;
By the general rule creation that verifies into general verification storehouse;
Using general verification rule described in regular expression and written in JavaScript, double format check rules are obtained;
Described pair of format check rule is stored, the general verification storehouse is created into.
3. a kind of data verification method based on Java systems according to claim 1, it is characterised in that the acquisition is treated
Verification data, is specifically included:
Using template engine by the acquisition critical transition of the data to be verified be dynamic interface;
The data to be verified are obtained from the dynamic interface.
4. a kind of data verification method based on Java systems according to claim 3, it is characterised in that described utilize is built
Vertical general verification storehouse carries out front end verification to the data to be verified, specifically includes:
The front end verification rule being consistent with the data type of the data to be verified is screened from the general verification storehouse, before obtaining
Hold rule to be verified;
Front end verification is carried out to the data to be verified using front end rule to be verified.
5. a kind of data verification method based on Java systems according to claim 1, it is characterised in that the utilization institute
State general verification storehouse and backstage verification is carried out to the data to be verified, specifically include:
The backstage verification rule being consistent with the data type of the data to be verified is screened from the general verification storehouse, after obtaining
Platform rule to be verified;
The backstage rule to be verified in the general verification storehouse is configured using blocker, backstage configuration verification is obtained
Rule;
Backstage verification is carried out to the data to be verified using backstage configuration verification rule;
If the check results of the backstage verification pass through for verification, data check process is completed;
If the check results of the backstage verification do not pass through for verification, user is pointed out verification failure.
6. a kind of data verification system based on Java systems, it is characterised in that including:
Data acquisition module, for obtaining data to be verified;
Front end correction verification module, for carrying out front end verification to the data to be verified using the general verification storehouse set up;It is described logical
General verification rule is included with verification storehouse, what the general verification rule was followed for needed for numerous types of data when being verified
Verification rule;
Backstage correction verification module, if passing through for the check results that the front end is verified for verification, the data to be verified are passed
Backstage is transported to, backstage verification is carried out to the data to be verified using the general verification storehouse;
Feedback module, if not passing through for verification for the check results that the front end is verified, points out user to re-type data.
7. a kind of data verification system based on Java systems according to claim 6, it is characterised in that also including verification
Module is set up in storehouse, and module is set up in the verification storehouse to be used to set up the general verification storehouse;The verification storehouse is set up module and specifically wrapped
Include:
Demand acquiring unit, the verification demand for obtaining various data types;
Extensive unit is arranged, for carrying out arranging extensive to the verification demand, general verification rule is summarized;
Creating unit, for by the general verification rule creation into general verification storehouse;
Double forms write unit, for using general verification rule described in regular expression and written in JavaScript, obtaining double
Format check rule;
Memory cell, for described pair of format check rule to be stored, creates into the general verification storehouse.
8. a kind of data verification system based on Java systems according to claim 6, it is characterised in that the data are obtained
Modulus block, is specifically included:
Critical transition unit, is dynamic interface for utilizing template engine by the acquisition critical transition of the data to be verified;
Data capture unit, for obtaining the data to be verified from the dynamic interface.
9. a kind of data verification system based on Java systems according to claim 8, it is characterised in that the front end school
Module is tested, is specifically included:
Front end verifies Rules Filtering unit, for the screening from the general verification storehouse and the data type of the data to be verified
The front end verification rule being consistent, obtains front end rule to be verified;
Front end verification unit, for carrying out front end verification to the data to be verified using front end rule to be verified.
10. a kind of data verification system based on Java systems according to claim 6, it is characterised in that the backstage
Correction verification module, is specifically included:
Backstage verifies Rules Filtering unit, for the screening from the general verification storehouse and the data type of the data to be verified
The backstage verification rule being consistent, obtains backstage rule to be verified;
Dispensing unit, for being configured using blocker to the backstage rule to be verified in the general verification storehouse, is obtained
Verification rule is configured to backstage;
Backstage verification unit, for carrying out backstage verification to the data to be verified using backstage configuration verification rule;If
The check results of the backstage verification pass through for verification, then complete data check process;If the check results of the backstage verification
Do not pass through for verification, then point out user verification failure.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710545545.4A CN107329849B (en) | 2017-07-06 | 2017-07-06 | Data verification method and system based on Java system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710545545.4A CN107329849B (en) | 2017-07-06 | 2017-07-06 | Data verification method and system based on Java system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107329849A true CN107329849A (en) | 2017-11-07 |
CN107329849B CN107329849B (en) | 2021-01-29 |
Family
ID=60195929
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710545545.4A Active CN107329849B (en) | 2017-07-06 | 2017-07-06 | Data verification method and system based on Java system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107329849B (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107958370A (en) * | 2017-12-04 | 2018-04-24 | 国网河北省电力公司经济技术研究院 | Project cost data verification method and terminal device |
CN108062293A (en) * | 2017-12-29 | 2018-05-22 | 安徽方正医疗信息技术有限公司 | A kind of ranked data method of calibration based on content |
CN109582286A (en) * | 2018-07-04 | 2019-04-05 | 福州震旦计算机技术有限公司 | Data standard method of calibration and its device based on Freemarker technology |
WO2020006929A1 (en) * | 2018-07-05 | 2020-01-09 | 平安科技(深圳)有限公司 | Data check method and device, and computer storage medium |
CN111897842A (en) * | 2020-01-02 | 2020-11-06 | 北京京东尚科信息技术有限公司 | Data checking method, device, computer system and medium |
WO2022050900A1 (en) * | 2020-09-03 | 2022-03-10 | Grabtaxi Holdings Pte. Ltd | Data base system and method for maintaining a data base |
CN114357388A (en) * | 2021-12-29 | 2022-04-15 | 苏州浪潮智能科技有限公司 | Parameter checking method and device, electronic equipment and storage medium |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH11203153A (en) * | 1998-01-07 | 1999-07-30 | Oki Electric Ind Co Ltd | Interface system and recording medium |
CN103793223A (en) * | 2013-12-27 | 2014-05-14 | 远光软件股份有限公司 | Rule creating method and system |
CN104049972A (en) * | 2014-06-18 | 2014-09-17 | 北京京东尚科信息技术有限公司 | Data verification method and system |
CN104391934A (en) * | 2014-11-21 | 2015-03-04 | 深圳市银雁金融配套服务有限公司 | Data calibration method and device |
CN105930409A (en) * | 2016-04-18 | 2016-09-07 | 深圳市永兴元科技有限公司 | Data verification method and device based on dynamic generation rule |
-
2017
- 2017-07-06 CN CN201710545545.4A patent/CN107329849B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH11203153A (en) * | 1998-01-07 | 1999-07-30 | Oki Electric Ind Co Ltd | Interface system and recording medium |
CN103793223A (en) * | 2013-12-27 | 2014-05-14 | 远光软件股份有限公司 | Rule creating method and system |
CN104049972A (en) * | 2014-06-18 | 2014-09-17 | 北京京东尚科信息技术有限公司 | Data verification method and system |
CN104391934A (en) * | 2014-11-21 | 2015-03-04 | 深圳市银雁金融配套服务有限公司 | Data calibration method and device |
CN105930409A (en) * | 2016-04-18 | 2016-09-07 | 深圳市永兴元科技有限公司 | Data verification method and device based on dynamic generation rule |
Non-Patent Citations (1)
Title |
---|
胡长军等: "知识库的校验研究", 《石油大学学报(自然科学版)》 * |
Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107958370A (en) * | 2017-12-04 | 2018-04-24 | 国网河北省电力公司经济技术研究院 | Project cost data verification method and terminal device |
CN108062293A (en) * | 2017-12-29 | 2018-05-22 | 安徽方正医疗信息技术有限公司 | A kind of ranked data method of calibration based on content |
CN109582286A (en) * | 2018-07-04 | 2019-04-05 | 福州震旦计算机技术有限公司 | Data standard method of calibration and its device based on Freemarker technology |
CN109582286B (en) * | 2018-07-04 | 2021-11-26 | 福州震旦计算机技术有限公司 | Freemarker technology-based data normalization verification method and device |
WO2020006929A1 (en) * | 2018-07-05 | 2020-01-09 | 平安科技(深圳)有限公司 | Data check method and device, and computer storage medium |
CN111897842A (en) * | 2020-01-02 | 2020-11-06 | 北京京东尚科信息技术有限公司 | Data checking method, device, computer system and medium |
WO2022050900A1 (en) * | 2020-09-03 | 2022-03-10 | Grabtaxi Holdings Pte. Ltd | Data base system and method for maintaining a data base |
CN114357388A (en) * | 2021-12-29 | 2022-04-15 | 苏州浪潮智能科技有限公司 | Parameter checking method and device, electronic equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN107329849B (en) | 2021-01-29 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107329849A (en) | A kind of data verification method and system based on Java systems | |
CN107038280B (en) | Software and hardware collaborative simulation verification system and method | |
CN104268079B (en) | A kind of method and system of POS Application testings | |
CN103605606B (en) | A kind of embedded software test use-case batch execution method that can automatically change | |
CN104683386A (en) | Pile service implementation method and device capable of customizing response | |
CN107171897A (en) | A kind of interface test method and data-interface test system | |
CN102331967A (en) | Method for managing chip verification test cases | |
CN103646104A (en) | Hard real-time fault diagnosis method and system | |
CN109753043A (en) | The test device and method of CAN bus communication matrix | |
CN103728885A (en) | Comprehensive wiring management method based on aviation bus | |
CN104935936A (en) | Entropy decoder authentication method based on UVM and device | |
CN105260837A (en) | Teaching management system and teaching management method thereof | |
CN106792699A (en) | A kind of Wireless Fidelity Wi Fi connection methods and mobile terminal | |
CN102486749A (en) | Method and system for data driving test | |
CN109447384A (en) | Verification method, device, equipment and the storage medium of air control system | |
CN106776074A (en) | A kind of web plug-in units call method and system based on http | |
CN102231107A (en) | Method for automatically generating communication data format of electric control unit based on AUTOSAR (Automotive Open System Architecture) | |
CN106210026A (en) | The control method of distributed file system multi-client catalogue quota precision and system | |
CN105740579A (en) | Building method for connecting UVM verification platform | |
CN103944778B (en) | A kind of distributed event injection device based on combined test collection | |
CN103176796A (en) | Method for achieving mapping from complex data to signal set in AUTOSAR | |
CN116070567A (en) | Verification method, device and equipment of cache circuit and storage medium | |
CN103646439B (en) | A kind of method for inspecting and system possessing interactive function | |
CN107038110A (en) | The method and system of white-box testing | |
CN102833621B (en) | User system management method based on smart television terminal |
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 |