CN106326467A - Method for data archiving and paper assembling based on nonlinear data - Google Patents

Method for data archiving and paper assembling based on nonlinear data Download PDF

Info

Publication number
CN106326467A
CN106326467A CN201610778055.4A CN201610778055A CN106326467A CN 106326467 A CN106326467 A CN 106326467A CN 201610778055 A CN201610778055 A CN 201610778055A CN 106326467 A CN106326467 A CN 106326467A
Authority
CN
China
Prior art keywords
data
volume
function
transfer
archive
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
Application number
CN201610778055.4A
Other languages
Chinese (zh)
Other versions
CN106326467B (en
Inventor
付文韬
刘文辉
付武锤
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Delixin Technology Development Co.,Ltd.
Original Assignee
Hunan De Lixin Software Development Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hunan De Lixin Software Development Co Ltd filed Critical Hunan De Lixin Software Development Co Ltd
Priority to CN201610778055.4A priority Critical patent/CN106326467B/en
Publication of CN106326467A publication Critical patent/CN106326467A/en
Application granted granted Critical
Publication of CN106326467B publication Critical patent/CN106326467B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/93Document management systems

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a method for data archiving and paper assembling based on a nonlinear data. The method for data archiving and paper assembling based on the nonlinear data comprises a database, an input function, an inquiry function, a test assembling function, a function of transferring application, an assessing function, a function of transferring confirmation, a function of archive receiving, a function of data entering and transferring, a function of data receiving and a function of state tagging. The method for data archiving based on nonlinear data provided in the invention solves the problems of the prior technology such as the low efficiency of paper system, and the large error probability.

Description

Method based on nonlinear data archive sets volume
Technical field
The present invention relates to archive management system field, be specifically related to a kind of method based on nonlinear data archive sets volume.
Background technology
The data papers generation system of prior art, typically all typing are correlated with after not organizing volume data, choose related data, then Then the data chosen are grouped in the middle of the files of new record by record case volume information;Or directly substantially chase after in the data organizing volume Add typing.
If data volume is big, when having recorded the data of a files content, just it is grouped under a certain files obviously every time Inefficiency;Secondly the information of files to be inputted occurs recording the problem of wrong relevant information unavoidably, increases error probability.
Summary of the invention
For solving the papers generation system inefficiency of prior art, the technical problem that error probability is big, the present invention provides a kind of Group volume efficiency is high, the method based on nonlinear data archive sets volume that error probability is little.
A kind of method based on nonlinear data archive sets volume, including data base, input function, query function, group volume merit , can transfer and apply for that function, audit function, transfer confirm that function, archives accession function, warehouse-in are transferred function, received into library facility With status indication function;
Use described method based on nonlinear data archive sets volume, comprise the following steps:
Step one: do not organize volume typing: use described input function, will not organize in volume data inputting extremely described data base;
Meanwhile, logging data is labeled as by described status indication function: " group volume state: do not organize volume ", " archive status: do not move Hand over ";
Step 2: data set is rolled up: use described query function, with a certain condition query group volume data in described data base, Choose Query Result, use described group of volume function, volume data will not organized and be sequentially stored in multiple data set volume;
Meanwhile, described status indication function is stored into data markers and is: " group volume state: organized volume ", " archive status: do not move Hand over ";
Step 3: transfer application: when needing to carry out transferring filing to the data in a certain condition, transfers people and uses described inquiry Function, rolls up with this condition query data set in described data base, chooses Query Result, runs described transfer application function, to Described audit function proposes to transfer application;
Meanwhile, request for data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: pending trial Core ";
Step 4: transfer examination & verification: person approving accesses described audit function, checks the data set volume content that application carries out transferring,
As rejected application, request for data is labeled as by the most described status indication function: " group volume state: organized volume ", " archives shape State: do not transfer ";
As granted an application, request for data is labeled as by the most described status indication function: " group volume state: organized volume ", " archives shape State: audit ";
Step 5: confirm to transfer: transfer people and reuse described query function, inquire about in described data base and choose archives shape The data set volume that state is " auditing ", runs described transfer and confirms function, and corresponding entity data is handed over to archives;
Meanwhile, hands over data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: transfer In ";
Step 6: archives accession: after entity data is handed over to archives, archives management people uses described query function, in The data set volume inquired about in described data base and choose archive status to be " in transfer ", runs described archives accession function, confirms Have been received by entity data;
Meanwhile, hands over data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: enter Shop ";
Step 7: warehouse-in is transferred: after archives management people arranges complete entity data, reuse described query function, in institute State and data base inquires about and chooses the data set volume that archive status is " having entered shop ", run described warehouse-in and transfer function, by entity Data is handed over to storehouse;
Meanwhile, warehouse-in data markers is by described status indication function: " group volume state: organized volume ", " archive status: warehouse-in In ";
Step 8: receive warehouse-in: entity data is moved to correct position by store management people, uses described query function, in The data set volume inquired about in described data base and choose archive status to be " in warehouse-in ", runs and described receives into library facility, it is achieved The warehouse-in filing of archives;
Meanwhile, warehouse-in data markers is by described status indication function: " group volume state: organized volume ", " archive status: enter Storehouse ".
The present invention provide based on nonlinear data archive sets volume method a kind of preferred embodiment in, described based on The method of nonlinear data archive sets volume also includes that shelves number arrange function.
In a kind of preferred embodiment of the method based on nonlinear data archive sets volume of present invention offer, described step Two specifically include following steps:
Step 2 one: group volume inquiry: use described query function, with a certain condition query group volume number in described data base According to, and choose Query Result;
Step 2 two: group volume is arranged: uses described shelves number to arrange function, arranges the scope of the value of shelves number each composition item, such as folder Number, time etc.;Shelves Conduce Disciplinarian is set, as continuously generated or each group of volume regenerates;Arrange each group of volume is stored in part Number;
Step 2 three: data set is rolled up: use described group of volume function, according to the setting of described step 2 two, for described step 2 one In the data chosen generate shelves number respectively, and be sequentially stored in order in multiple data set volume;
Meanwhile, described status indication function is stored into data markers and is: " group volume state: organized volume ", " archive status: do not move Hand over ".
The present invention provide based on nonlinear data archive sets volume method a kind of preferred embodiment in, described based on The method of nonlinear data archive sets volume also includes printing list function.
In a kind of preferred embodiment of the method based on nonlinear data archive sets volume of present invention offer, described step Five specifically include following steps:
Step May Day: transfer and confirm: transfer people and reuse described query function, inquire about with the same terms in described data base Data set is rolled up, and radio check mark is the data set volume of " auditing ", runs described transfer and confirms function, determines and enter censored data Row is transferred;
Meanwhile, hands over data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: transfer In ";
Step 5 two: print inventory: use described printing list function, hands over data correspondence shelves number are printed to entity inventory;
Step 5 three: records transfer: entity data and entity inventory are handed over to archives in the lump.
In a kind of preferred embodiment of the method based on nonlinear data archive sets volume of present invention offer, run described When receiving into library facility, the deposit position information of correspondent entity data need to be inputted, thus realize digital archives and deposit with entity archives Put the correspondence of position.
Compared to prior art, described based on nonlinear data archive sets volume the method that the present invention provides has and following has Benefit effect:
One, described method based on nonlinear data archive sets volume supports that mass data disposably organizes volume, reduces typing and group volume Workload.
Two, described based on nonlinear data archive sets volume method can arrange flexibly each group volume be stored in number of packages, shelves number Form, shelves number produce algorithm etc., it is adaptable to various Archival requirements.
Three, the operational process of described method based on nonlinear data archive sets volume is clear, and different user difference is divided the work, respectively User only need to be responsible for oneself part work, is effectively increased work efficiency and reduces error probability.
Accompanying drawing explanation
Fig. 1 is the operational flow diagram of the method based on nonlinear data archive sets volume that the present invention provides.
Detailed description of the invention
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 Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.
Refer to Fig. 1, be the operational flow diagram of the method based on nonlinear data archive sets volume that the present invention provides.
Described method based on nonlinear data archive sets volume includes that input function, shelves number arrange function, group volume merit , can transfer and apply for that function, audit function, transfer confirm that function, printing list function, archives accession function, warehouse-in transfer function With receive into library facility, and data base, query function and status indication function.
Use described method based on nonlinear data archive sets volume, comprise the following steps:
S1: do not organize volume typing: use described input function, will not organize in volume data inputting extremely described data base;
Meanwhile, logging data is labeled as by described status indication function: " group volume state: do not organize volume ", " archive status: do not move Hand over ";
S2 specifically includes following steps:
S2-1: group volume inquiry: use described query function, with A condition query group volume data in described data base, and choose Query Result;
S2-2: group volume is arranged: use described shelves number to arrange function, arrange folder number be " XX ", the time is for " 2016 ";
Arranging shelves Conduce Disciplinarian is that each group of volume regenerates;
The number of packages that is stored in arranging each group of volume is 5;
S2-3: data set is rolled up: use described group of volume function, according to the setting of described S2-2, for the data chosen in described S2-1 Generate shelves number respectively, and be sequentially stored in multiple data set volume, it may be assumed that
Group volume 1:
XX-2016-001-0001, XX-2016-001-0002 ... XX-2016-001-0005,
Group volume 2:
XX-2016-002-0001, XX-2016-002-0002 ... XX-2016-002-0005,
……;
Meanwhile, described status indication function is stored into data markers and is: " group volume state: organized volume ", " archive status: do not move Hand over ";
S3: transfer application: when needing to carry out transferring filing to the data in A condition, transfers people and uses described query function, in Described data base rolls up with A condition query data set, chooses Query Result, run described transfer application function, to described examination & verification Function proposes to transfer application;
Meanwhile, request for data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: pending trial Core ";
S4: transfer examination & verification: person approving accesses described audit function, checks the data set volume content that application carries out transferring,
As rejected application, request for data is labeled as by the most described status indication function: " group volume state: organized volume ", " archives shape State: do not transfer ";
As granted an application, request for data is labeled as by the most described status indication function: " group volume state: organized volume ", " archives shape State: audit ";
S5 specifically includes following steps:
S5-1: transfer and confirm: transfer people and reuse described query function, with A condition query data set in described data base Volume, radio check mark is the data set volume of " auditing ", runs described transfer and confirms function, determines and move censored data Hand over;
Meanwhile, hands over data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: transfer In ";
S5-2: print inventory: use described printing list function, hands over data correspondence shelves number are printed to entity inventory;
S5-3: records transfer: entity data and entity inventory are handed over to archives in the lump
S6: archives accession: after entity data is handed over to archives, archives management people uses described query function, in described The data set volume inquired about in data base and choose archive status to be " in transfer ", runs described archives accession function, confirms to receive To entity data;
Meanwhile, hands over data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: enter Shop ";
S7: warehouse-in is transferred: after archives management people arranges complete entity data, reuse described query function, in described number According to the data set volume inquired about in storehouse and choose archive status to be " having entered shop ", run described warehouse-in and transfer function, by entity data It is handed over to storehouse;
Meanwhile, warehouse-in data markers is by described status indication function: " group volume state: organized volume ", " archive status: warehouse-in In ";
S8: receive warehouse-in: entity data is moved to correct position by store management people, uses described query function, in described The data set volume inquired about in data base and choose archive status to be " in warehouse-in ", runs and described receives into library facility, be simultaneously entered The deposit position information of correspondent entity data, it is achieved the warehouse-in filing of archives, and digital archives and entity archiving position Correspondence;
Meanwhile, warehouse-in data markers is by described status indication function: " group volume state: organized volume ", " archive status: enter Storehouse ".
Compared to prior art, described based on nonlinear data archive sets volume the method that the present invention provides has and following has Benefit effect:
One, described method based on nonlinear data archive sets volume supports that mass data disposably organizes volume, reduces typing and group volume Workload.
Two, described based on nonlinear data archive sets volume method can arrange flexibly each group volume be stored in number of packages, shelves number Form, shelves number produce algorithm etc., it is adaptable to various Archival requirements.
Three, the operational process of described method based on nonlinear data archive sets volume is clear, and different user difference is divided the work, respectively User only need to be responsible for oneself part work, is effectively increased work efficiency and reduces error probability.
The foregoing is only embodiments of the invention, not thereby limit the scope of the claims of the present invention, every utilize this Equivalent structure or equivalence flow process that bright description is made convert, or are directly or indirectly used in other relevant technology neck Territory, within being the most in like manner included in the scope of patent protection of the present invention.

Claims (6)

1. a method based on nonlinear data archive sets volume, it is characterised in that: include data base, input function, inquiry merit Volume function, can be organized, transfer and apply for that function, audit function, transfer confirm function, archives accession function, put in storage and transfer function, reception Enter library facility and status indication function;
Use described method based on nonlinear data archive sets volume, comprise the following steps:
Step one: do not organize volume typing: use described input function, will not organize in volume data inputting extremely described data base;
Meanwhile, logging data is labeled as by described status indication function: " group volume state: do not organize volume ", " archive status: do not move Hand over ";
Step 2: data set is rolled up: use described query function, with a certain condition query group volume data in described data base, Choose Query Result, use described group of volume function, volume data will not organized and be sequentially stored in multiple data set volume;
Meanwhile, described status indication function is stored into data markers and is: " group volume state: organized volume ", " archive status: do not move Hand over ";
Step 3: transfer application: when needing to carry out transferring filing to the data in a certain condition, transfers people and uses described inquiry Function, rolls up with this condition query data set in described data base, chooses Query Result, runs described transfer application function, to Described audit function proposes to transfer application;
Meanwhile, request for data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: pending trial Core ";
Step 4: transfer examination & verification: person approving accesses described audit function, checks the data set volume content that application carries out transferring,
As rejected application, request for data is labeled as by the most described status indication function: " group volume state: organized volume ", " archives shape State: do not transfer ";
As granted an application, request for data is labeled as by the most described status indication function: " group volume state: organized volume ", " archives shape State: audit ";
Step 5: confirm to transfer: transfer people and reuse described query function, inquire about in described data base and choose archives shape The data set volume that state is " auditing ", runs described transfer and confirms function, and corresponding entity data is handed over to archives;
Meanwhile, hands over data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: transfer In ";
Step 6: archives accession: after entity data is handed over to archives, archives management people uses described query function, in The data set volume inquired about in described data base and choose archive status to be " in transfer ", runs described archives accession function, confirms Have been received by entity data;
Meanwhile, hands over data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: enter Shop ";
Step 7: warehouse-in is transferred: after archives management people arranges complete entity data, reuse described query function, in institute State and data base inquires about and chooses the data set volume that archive status is " having entered shop ", run described warehouse-in and transfer function, by entity Data is handed over to storehouse;
Meanwhile, warehouse-in data markers is by described status indication function: " group volume state: organized volume ", " archive status: warehouse-in In ";
Step 8: receive warehouse-in: entity data is moved to correct position by store management people, uses described query function, in The data set volume inquired about in described data base and choose archive status to be " in warehouse-in ", runs and described receives into library facility, it is achieved The warehouse-in filing of archives;
Meanwhile, warehouse-in data markers is by described status indication function: " group volume state: organized volume ", " archive status: enter Storehouse ".
Method based on nonlinear data archive sets volume the most according to claim 1, it is characterised in that: described based on non-thread Property data filing group volume method also include that shelves number arrange function.
Method based on nonlinear data archive sets volume the most according to claim 2, it is characterised in that: described step 2 has Body comprises the following steps:
Step 2 one: group volume inquiry: use described query function, with a certain condition query group volume number in described data base According to, and choose Query Result;
Step 2 two: group volume is arranged: uses described shelves number to arrange function, arranges the scope of the value of shelves number each composition item, such as folder Number, time etc.;Shelves Conduce Disciplinarian is set, as continuously generated or each group of volume regenerates;Arrange each group of volume is stored in part Number;
Step 2 three: data set is rolled up: use described group of volume function, according to the setting of described step 2 two, for described step 2 one In the data chosen generate shelves number respectively, and be sequentially stored in order in multiple data set volume;
Meanwhile, described status indication function is stored into data markers and is: " group volume state: organized volume ", " archive status: do not move Hand over ".
Method based on nonlinear data archive sets volume the most according to claim 1, it is characterised in that: described based on non-thread Property data filing group volume method also include print list function.
Method based on nonlinear data archive sets volume the most according to claim 4, it is characterised in that: described step 5 has Body comprises the following steps:
Step May Day: transfer and confirm: transfer people and reuse described query function, inquire about with the same terms in described data base Data set is rolled up, and radio check mark is the data set volume of " auditing ", runs described transfer and confirms function, determines and enter censored data Row is transferred;
Meanwhile, hands over data is labeled as by described status indication function: " group volume state: organized volume ", " archive status: transfer In ";
Step 5 two: print inventory: use described printing list function, hands over data correspondence shelves number are printed to entity inventory;
Step 5 three: records transfer: entity data and entity inventory are handed over to archives in the lump.
Method based on nonlinear data archive sets volume the most according to claim 1, it is characterised in that: run described reception When entering library facility, the deposit position information of correspondent entity data need to be inputted, thus realize digital archives and entity archiving position The correspondence put.
CN201610778055.4A 2016-08-31 2016-08-31 Method based on nonlinear data archive sets volume Active CN106326467B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610778055.4A CN106326467B (en) 2016-08-31 2016-08-31 Method based on nonlinear data archive sets volume

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610778055.4A CN106326467B (en) 2016-08-31 2016-08-31 Method based on nonlinear data archive sets volume

Publications (2)

Publication Number Publication Date
CN106326467A true CN106326467A (en) 2017-01-11
CN106326467B CN106326467B (en) 2019-07-26

Family

ID=57788460

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610778055.4A Active CN106326467B (en) 2016-08-31 2016-08-31 Method based on nonlinear data archive sets volume

Country Status (1)

Country Link
CN (1) CN106326467B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107609170A (en) * 2017-09-28 2018-01-19 武汉汉邦世成信息技术有限公司 A kind of data filing fast-check method and system
CN110019117A (en) * 2017-09-28 2019-07-16 中国石油化工股份有限公司 A kind of data archiving method and device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1882906A (en) * 2003-09-30 2006-12-20 维瑞泰斯操作公司 System and method for maintaining temporal data in data storage
US7333923B1 (en) * 1999-09-29 2008-02-19 Nec Corporation Degree of outlier calculation device, and probability density estimation device and forgetful histogram calculation device for use therein
CN101196870A (en) * 2007-12-19 2008-06-11 济南钢铁股份有限公司 Item database organization and automatic volume group implementing method and system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7333923B1 (en) * 1999-09-29 2008-02-19 Nec Corporation Degree of outlier calculation device, and probability density estimation device and forgetful histogram calculation device for use therein
CN1882906A (en) * 2003-09-30 2006-12-20 维瑞泰斯操作公司 System and method for maintaining temporal data in data storage
CN101196870A (en) * 2007-12-19 2008-06-11 济南钢铁股份有限公司 Item database organization and automatic volume group implementing method and system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107609170A (en) * 2017-09-28 2018-01-19 武汉汉邦世成信息技术有限公司 A kind of data filing fast-check method and system
CN110019117A (en) * 2017-09-28 2019-07-16 中国石油化工股份有限公司 A kind of data archiving method and device
CN107609170B (en) * 2017-09-28 2020-07-03 武汉汉邦世成信息技术有限公司 Data archiving and fast checking method and system

Also Published As

Publication number Publication date
CN106326467B (en) 2019-07-26

Similar Documents

Publication Publication Date Title
CN104137103B (en) Method, system and its storage medium for intelligent data filing
CN104217290A (en) An archive management system
CN104361018B (en) Electronic archives information reorganization method and device
CN105956123A (en) Local updating software-based data processing method and apparatus
CN102893281A (en) Information retrieval device, information retrieval method, computer program, and data structure
CN106095964A (en) A kind of method that data are carried out visualization filing and search
CN102682126A (en) Access method and device for form data
CN107742187A (en) ERP sells objective insurance system
CN103176989A (en) Method and system used for comparing database table levels and based on data dictionary and variable rules
CN106326467A (en) Method for data archiving and paper assembling based on nonlinear data
CN101963993B (en) Method for fast searching database sheet table record
CN102521256B (en) High-reliability data protection method of real-time/historical database
CN102279951A (en) Report information processing method and system
CN104077302B (en) A kind of large user's amount account storage and retrieval and Verification System
US7725439B2 (en) Handling column renaming as part of schema evolution in a data archiving tool
CN109978513A (en) Obtain method and apparatus, project task management equipment and the medium of technical standard
CN117251531A (en) Family tree association generation method, system and storage medium
CN101706915A (en) System and method for adjusting outbound cost
CN104866508A (en) Method and device for managing files in cloud environment
CN102915324B (en) Data storage and retrieval device and data storage and retrieval method
CN110287185A (en) The storage organization and method of the many-one relationship inquiry of Oriented Documents key value database
CN105354149A (en) Memory data search method and apparatus
CN111861401A (en) Technical scheme of industry qualification management and online approval system
CN105335503A (en) Digitized archive information full featured system
JP2014013470A (en) Management method for electronic form and electronic form system, and management program for electronic form

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: Fu Wentao

Inventor after: Fan Jingmin

Inventor after: Liu Wenhui

Inventor after: Fu wuhammer

Inventor before: Fu Wentao

Inventor before: Liu Wenhui

Inventor before: Fu wuhammer

GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address
CP03 Change of name, title or address

Address after: No. 401, Floor 4, Building 24, No. 688, Section 2, Wanjiali South Road, Tongsheng Street, Yuhua District, Changsha City, Hunan Province 410007

Patentee after: Hunan Delixin Technology Development Co.,Ltd.

Address before: 410000 Room 101, Building 19, Dangui Lane, Chezhan South Road, Yuhua District, Changsha City, Hunan Province

Patentee before: HUNAN DELISUN SOFTWARE DEVELOPMENT CO.,LTD.