CN107066531A - A kind of business data radar monitoring method and system based on enterprise's big data platform - Google Patents
A kind of business data radar monitoring method and system based on enterprise's big data platform Download PDFInfo
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Abstract
The application provides a kind of business data radar monitoring method based on enterprise's big data platform, including：First enterprise data entities are obtained by least one server in real time, first enterprise data entities are newest enterprise data entities；The second enterprise data entities stored in current database are obtained, compare first enterprise data entities and the second enterprise data entities automatically using radar monitoring technology；Self-defined investigation is carried out according to preset rules review mechanism compared result collection, if normal change, then update the data storehouse, if comparative result is abnormal, then reacquire the first enterprise data entities carry out it is described compare and investigate, the frequency of abnormity exceed threshold value when, send error notification to system；Push the notice of modification information in real time to the user of concern enterprise.By the invention it is possible to the Efficiency and accuracy of business data renewal is improved, quick accurate push user's focused data, and support User Defined to receive each dimension data of enterprise's refinement.
Description
Technical field
The present invention relates to network technique field, in particular to a kind of business data based on enterprise's big data platform
Radar monitoring method and system.
Background technology
With expanding economy, increase substantial amounts of enterprise newly every year, enterprise also can according to change business etc. the need for market its
Information in terms of him, the enterprise of same industry also respectively has different advantages for different users, understands and tracking lines are looked forward in the industry
The change of industry information, it is important guide and reference to select suitable enterprise to cooperate for user.Therefore, occur on the market
Many products that corporation information query is provided.
The acquisition of company information, is generally obtained from internet by web crawlers, is preserved by database；Enter one
Step utilizes web crawlers taken at regular intervals company information, and by be stored in local information and be compared to obtain newest enterprise
Industry data.But, during comparing new legacy data, the special data of needs processing often occurs, what they were expressed
Equivalent in meaning but data format but and is differed, if not being subject to the company information that mistake occurs in manual intervention.
The existing database stored to company information generally carries out tissue using relevant database, for various dimensions
Company information treatment effeciency is low, and scalability is bad, it is impossible to adapt to the demand of user individual, such as User Defined is assembled
Dimension.
In addition, the source data gathered for web crawlers, it sometimes appear that substantial amounts of error message, such as by attribute A's
Data value is mistakenly substituted for attribute B data value, causes company information data not accurate enough.
Different users needs different dimensional informations, for the newest company information got, how according to difference
User targetedly push User Defined assembling dimensional information, be also urgent problem to be solved.
The content of the invention
The present invention proposes a kind of business data radar monitoring technology based on enterprise's big data platform, and its object is to solve
At least one above-mentioned technical problem, so that the Efficiency and accuracy of data renewal is improved, quick accurate push user's focused data,
And support User Defined to receive each dimension data of enterprise's refinement.
To achieve these goals, the present invention is adopted the following technical scheme that：
According to an aspect of the present invention there is provided a kind of business data radar monitoring method based on enterprise's big data platform,
Methods described includes：
First enterprise data entities are obtained by least one server in real time, first enterprise data entities are newest
Enterprise data entities；
The second enterprise data entities for storing in current database are obtained, compare described the automatically using radar monitoring technology
One enterprise data entities and the second enterprise data entities；
Self-defined investigation is carried out according to preset rules review mechanism compared result collection, if normal change, then update number
According to storehouse, if comparative result is abnormal, reacquire the first enterprise data entities carry out it is described compare and investigate, the frequency of abnormity
During more than threshold value, error notification is sent to system
Push the notice of modification information in real time to the user of concern enterprise.
Preferably, the radar monitoring technology includes：First business data is obtained automatically by bottom mapping techniques
All attributes under entity and the second enterprise data entities, the data value of the attribute is obtained by GetValue, relatively more described
The data value of two data entity correspondence attributes.
Preferably, before described compare is carried out to the data value of the correspondence attribute, in addition to data format pretreatment,
The data value of the same alike result of acquisition is subjected to unified format analysis processing.
Preferably, the exception is that comparative result has problem data, and described problem data are data dislocation, shareholder's whole
Delete or key personnel all deletes.
Preferably, the error notification is sent by message queue technology (MQ).
Preferably, the notice of the modification information is pushed to the user in real time by message queue technology (MQ).
Preferably, the notice is any one of notifications, SMS notification or mail notification, or the notification type
Any combination.
Preferably, the notice for pushing modification information to user also includes：It is thin according to the enterprise that User Defined is received
Each dimension data changed, user can be according to the self-defined assembling dimension of data format of push.
Preferably, the database is the non-relational database of Doctype.
Preferably, the non-relational database is：mongoDB.
There is provided a kind of business data radar monitoring system based on enterprise's big data platform according to another aspect of the present invention
System, the system includes：
Newest business data acquisition module, current enterprise data acquisition module, enterprise data entities database, radar monitoring
Comparison module, message pushing module；
Newest business data acquisition module, the latest data for obtaining enterprise, enterprise data entities database is used to manage
Business data information is managed, radar monitoring comparison module is used for the comparison of latest data and current data, and message pushing module is used for
The notice of modification information is pushed to user.
Preferably, newest business data acquisition module can be deployed on multiple servers, internet in real time as needed
Obtain company information source data, it is ensured that the enterprise data entities collected be it is newest,
Current enterprise data acquisition module obtains current enterprise data from local data base；
Preferably, enterprise data entities database is using non-relational database (NoSql) tissue storage business data letter
Breath；
Preferably, using document-type NoSql databases, such as mongoDB；The document stored in database equally includes many
The attribute of individual dimension, it is corresponding with the multiple dimensions of enterprise data entities source data that web crawlers is gathered；
Preferably, radar monitoring comparison module is by the bottom mapping techniques (PropertyInfo) to entity, and traversal is certainly
It is dynamic to obtain attributes all under the entity, obtain the data value in two entities respectively by GetValue；
Preferably, radar monitoring comparison module, in addition to data preprocessing module, for entering for default data type
The pretreatment of row data format；
Preferably, data preprocessing module be additionally operable to in entity attribute if comprising other custom entities, it is also desirable to
Do customization type processing accordingly；
Preferably, radar monitoring comparison module also includes self-defined investigation module, and self-defined investigation module is used for radar
Monitoring data comparing result carries out self-defined investigation, if normal change, then update the data storehouse,
If comparative result is abnormal, situations such as dislocation of such as data, data delete excessive is then rejected, and notifies reptile weight
New processing, can set counting procedure or the abnormal number of times of other known means compared results to be counted here, when up to
To then notified when threshold value related development personnel carry out examine the situation it is whether true；
Preferably, the MQ technologies that message pushing module is used split flow, and the independent data flow later stage, processing disappeared in real time
Cease queue；
Preferably, message pushing module is additionally operable to the abnormal data that self-defined investigation module is drawn being pushed to exploit person
Member；
Preferably, message pushing module is additionally operable to the normal comparative result of the output of self-defined investigation module notify
Form is pushed to user；
Preferably, the notice is any one of notifications, SMS notification or mail notification, or the notification type
Any combination；
Preferably, message pushing module is additionally operable to assemble data according to user-defined dimension, is pushed to user.
The beneficial effects of the present invention are：
Problematic data are found according to the self-defined investigation rule of radar system, optimized according to problem alert notification reptile
Framework efficiently lifts data reptile quality, and the mistake of quick response data variation, the real-time changing push service of radar system makes
Obtain user and obtain newest business data information in time, the accurate information for pushing user's concern supports User Defined reception enterprise
Each dimension data of refinement.
Brief description of the drawings
By the embodiment part of offer referring to the drawings, the features and advantages of the present invention will become more
It is readily appreciated that, in the accompanying drawings：
Fig. 1 is the flow chart of the business data radar monitoring method of the invention based on enterprise's big data platform；
Fig. 2 is the present invention based on the preferred flow chart of the business data radar monitoring method of enterprise's big data platform；
Fig. 3 is the structured flowchart of the business data radar monitoring system of the invention based on enterprise's big data platform；
Fig. 4 is the preferred structure block diagram of the business data radar monitoring system of the invention based on enterprise's big data platform.
Embodiment
The illustrative embodiments to the present invention are described in detail with reference to the accompanying drawings.Illustrative embodiments are retouched
State merely for the sake of demonstration purpose, and be definitely not to the present invention and its application or the limitation of usage.
There is provided a kind of radar business data monitoring side based on enterprise's big data platform in one embodiment of the present of invention
Method,
Fig. 1 is the flow chart of business data monitoring method according to embodiments of the present invention, the flow bag according to Fig. 1
Include：
Step S102, to the data of enterprise supervision, is regarded as the monitoring to Liang Ge business entities；
Engine distribution to multiple servers (is depended on the circumstances) as needed, multi-thread data entrance is opened, it is ensured that number
According to amount requirement while, make data more perfect.Here server include search server and database server and
Web crawlers is deployed with application server, search server, the newest letter of web crawlers searching enterprise from internet is utilized
Breath, database server is used for the company information for storing collection, and application server is used to perform radar monitoring technology, message informing
Deng.Wherein, search server, database server, application server can be realized by many physics or virtual server respectively,
It can be realized with multiple pc, or server and PC combination are realized, are not limited here.
Preferably, web crawlers obtains the source data of company information by search server in real time from internet, it is ensured that
The enterprise data entities collected are newest, and wherein enterprise data entities source data includes the attribute of multiple dimensions, for example
The business scope of enterprise, address, legal representative, brand product, shareholder senior executive, industrial and commercial information, investments abroad, information of breaking one's promise, quilt
Executor's information, judgement document, trade mark, patent, law court's bulletin, certificate, copyright, operation exception, equity pledge, movable property are supported
Give as security, selective examination is checked, clear information etc., information dimension can be configured as needed.
Step S104, obtains the current enterprise data entity stored in local data base；
Preferably, local database server is stored with current enterprise data entities, and the present invention uses non-relational number
Business data information is stored according to storehouse (NoSql) tissue, NoSql databases are particularly suitable for use in large-scale data set multiple data,
The especially storage of enterprise's big data information.
Further, preferred documents type NoSql databases of the present invention, can be all information of enterprise as a reality
Body, can store the entity of whole enterprise as a document, so greatly improve the integrality of data, preserve and inquire about
Performance.
The document stored in database equally includes the attribute of multiple dimensions, and the enterprise data entities that web crawlers is gathered
The multiple dimensions of source data are corresponding.
In step S106, the newest enterprise data entities and database that are gathered using radar monitoring Technical comparing web crawlers
The enterprise data entities of storage；
Preferably, used here as being C# language, by capturing newest enterprise data entities every time, current number is then obtained
According to the enterprise data entities stored in storehouse, Liang Ge business entities are contrasted.One business entity can be with abstract for following number
According to structure：
Such as：Corporate entity
By the bottom mapping techniques (PropertyInfo) to entity, traversal obtains category all under the entity automatically
Property, obtained by GetValue and obtain data value in two entities respectively such as：
foreach(PropertyInfo p in newData.GetType().GetProperties())
{
Var newValue=p.GetValue (newData)；// obtain new value
Var oldValue=p.GetValue (oldData)；// obtain old value
}
Correction data that so can be easy.
Step S108, the data comparison result to radar monitoring carries out self-defined investigation (the regular review mechanism of self-control), if
It is normal change, then performs S110, update the data storehouse；
Step S112, according to the user's real time propelling movement for paying close attention to the enterprise；The execution sequence of above-mentioned two step is not limited；
If comparative result is abnormal, situations such as dislocation of such as data, data delete excessive is then rejected, and notifies reptile weight
New processing,
Step S114, can set counting procedure or the abnormal number of times of other known means compared results to carry out here
Count,
Step S116 judges whether frequency of abnormity exceedes predetermined threshold value,
Whether step S118 notifies related development personnel examine the situation true, can so greatly reduce manpower into
This, more can efficiently lift the quality of data.
Preferably, database here uses mongoDB, because whole enterprise as an entity, can be whole
The entity of enterprise is stored as a document, the integrality of the data so greatly promoted, the performance for preserving and inquiring about.
Preferably, message push-mechanism MQ technologies used herein split flow, and the independent data flow later stage is located in real time
Manage message queue, both can guarantee that the integrality of radar monitoring, the real-time of prompting message can be reached again, it is ensured that user message and
Shi Xingyi tackles corresponding measure.
Message queue is handled, a real-time job is opened and ceaselessly handles message queue, radar contrast is obtained with message queue
Result set, according to custom rule investigate flow, for example：Whether the result contrasted every time has following abnormal conditions：
1st, data misplace, and the change of such as some business data is correct, and the title A of such as company has made B, but some into
In the case of be wrong again, such as Business Name is exactly correctly A, but Business Name has been substituted for corporate juridical person by the mistake of reptile, this
When be also to do specially treated, belong to the problem of data misplace；
2nd, shareholder all deletes, i.e.,：Value originally has a lot, and the corresponding data value of shareholder's attribute that web crawlers is obtained is new
It is worth for sky；
3rd, key personnel all deletes；
On the one hand, these situations can serve as problem data processing be put into caching, be sent to related personnel.
On the other hand, sent if flow can serve as accurate data if investigating no exception by prompting message mechanism
Alert notification is changed to the user for paying close attention to the enterprise.
It is, of course, preferable to ground, the notice is any one of notifications, SMS notification or mail notification, or described is notified
Any combination of type.
Preferably, user self-defined as needed can receive each dimension data that enterprise refines, for example：Industrial and commercial dimension,
The dimensions such as lawsuit；According to the self-defined assembling dimension of the data format of push such as：Industrial and commercial type, type of breaking one's promise etc. improve data
Specific aim.
Fig. 2 is the preferred flow chart of business data monitoring method according to embodiments of the present invention, and compared to Fig. 1, the flow is also
Comprise the following steps：
Before being compared to current enterprise data entity and latest data entity, in addition to step S120, here also
Have some specific forms and carry out self-defined contrast processing, it is not necessary to copy mechanically and apply indiscriminately, data are carried out for default data type
The pretreatment of form.Such as：NewValue data type is date type, needs to do new legacy data at unified before comparison
Reason, makes its form identical,
Var newData=newValue.ParseToDateTime () .tostring (" yyyy-MM-dd ")；
Otherwise being possible to that the situation that 2017-02-03 and 2017/02/03 is differed occurs.
In addition, if including other custom entities in the entity attribute, it is also desirable to do customization type processing accordingly.
There is provided a kind of business data radar monitoring based on enterprise's big data platform in an alternative embodiment of the invention
System, Fig. 3 is the structured flowchart of radar enterprise monitoring system according to embodiments of the present invention, the radar enterprise monitoring system bag
Include：Newest business data acquisition module 31, current enterprise data acquisition module 32, enterprise data entities database 33, radar prison
Comparison module 34 is controlled, radar monitoring comparison module 34 includes self-defined investigation module 35, and message pushing module 36 is said to this below
It is bright.
Newest business data acquisition module 31, the latest data for obtaining enterprise, enterprise data entities database 33 is used
In management business data information, radar monitoring comparison module is used for the comparison of latest data and current data, message pushing module
35 are used for the notice to user's push modification information.
Preferably, newest business data acquisition module 31 can be deployed on multiple servers, internet real as needed
When obtain company information source data, it is ensured that the enterprise data entities collected be it is newest,
Wherein enterprise data entities source data includes the attribute of multiple dimensions, the business scope of such as enterprise, address, legal person
Representative, brand product, shareholder senior executive, industrial and commercial information, investments abroad, information of breaking one's promise, executed person information, judgement document, trade mark,
Patent, law court's bulletin, certificate, copyright, manage exception, equity pledge, chattel mortgage, selective examination and check, clear information etc., can be with
Information dimension is configured as needed.
Current enterprise data acquisition module 32 obtains current enterprise data from local data base 33；
Preferably, the present invention of enterprise data entities database 33 stores enterprise using non-relational database (NoSql) tissue
Industry data message；
Preferably, using document-type NoSql databases, such as mongoDB；The document stored in database equally includes many
The attribute of individual dimension, it is corresponding with the multiple dimensions of enterprise data entities source data that web crawlers is gathered；
Preferably, radar monitoring comparison module 34 passes through the bottom mapping techniques (PropertyInfo) to entity, traversal
Automatically attributes all under the entity are obtained, is obtained by GetValue and obtains the data value in two entities respectively；
Preferably, radar monitoring comparison module also includes self-defined investigation module 35, and self-defined investigation module is used for thunder
Data comparison result up to monitoring carries out self-defined investigation, if normal change, then update the data storehouse,
If comparative result is abnormal, situations such as dislocation of such as data, data delete excessive is then rejected, and notifies reptile weight
New processing, can set counting procedure or the abnormal number of times of other known means compared results to be counted here, when up to
To then notified when threshold value related development personnel carry out examine the situation it is whether true；
Preferably, the MQ technologies that message pushing module 36 is used split flow, and the independent data flow later stage is handled in real time
Message queue；
Preferably, message pushing module 36 is additionally operable to the abnormal data that self-defined investigation module is drawn being pushed to exploit person
Member；
Preferably, message pushing module 36 is additionally operable to the normal comparative result gone out of self-defined investigation module notify
Form is pushed to user；
Preferably, the notice is any one of notifications, SMS notification or mail notification, or the notification type
Any combination；
Preferably, message pushing module is additionally operable to assemble data according to user-defined dimension, is pushed to user；
Fig. 4 is the preferred structured flowchart of business data monitoring system according to embodiments of the present invention, also includes number compared to Fig. 3
Data preprocess module 47：
Preferably, radar monitoring comparison module also includes data preprocessing module 47, for for default data type
Carry out the pretreatment of data format；
Preferably, data preprocessing module 47, be additionally operable to in entity attribute if comprising other custom entities, also needed
Customization type processing is done accordingly；
Each embodiment in this specification is described by the way of progressive, what each embodiment was stressed be with
Between the difference of other embodiment, each embodiment identical similar part mutually referring to.For system embodiment
For, because it is substantially similar to embodiment of the method, so description is fairly simple, referring to the portion of embodiment of the method in place of correlation
Defend oneself bright.
The application be with reference to the flow chart according to the method, system and computer program product of the embodiment of the present application and/or
Block diagram is described.It should be understood that can by each flow in computer program instructions implementation process figure and/or block diagram and/or
Square frame and the flow in flow chart and/or block diagram and/or the combination of square frame.These computer program instructions can be provided to arrive
All-purpose computer, special-purpose computer, the processor of Embedded Processor or other programmable data processing devices are to produce one
Machine so that produced by the instruction of computer or the computing device of other programmable data processing devices for realizing in stream
The device for the function of being specified in one flow of journey figure or multiple flows and/or one square frame of block diagram or multiple square frames.
These computer program instructions, which may be alternatively stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which is produced, to be included referring to
Make the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that in meter
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided for realizing in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in individual square frame or multiple square frames；
Although with reference to illustrative embodiments, invention has been described, but it is to be understood that the present invention does not limit to
The embodiment that Yu Wenzhong is described in detail and shown, in the case of without departing from claims limited range, this
Art personnel can make various changes to the illustrative embodiments.
Claims (20)
1. a kind of business data radar monitoring method based on enterprise's big data platform, methods described includes：
First enterprise data entities are obtained by least one server in real time, first enterprise data entities are newest enterprise
Industry data entity；
The second enterprise data entities stored in current database are obtained, compare first enterprise automatically using radar monitoring technology
Industry data entity and the second enterprise data entities；
Self-defined investigation is carried out to the result of the comparison collection according to preset rules review mechanism, if normal change, then update
Database, if comparative result is abnormal, reacquire the first enterprise data entities carry out it is described compare and investigate, the exception is secondary
When number exceedes threshold value, error notification is sent to system；
Push the notice of modification information in real time to the user of concern enterprise.
2. the method for claim 1, wherein the radar monitoring technology also includes：It is automatic by bottom mapping techniques
Attributes all under first enterprise data entities and the second enterprise data entities are obtained, the category is obtained by GetValue
Property data value, relatively described two data entities correspondence attributes data value.
3. method as claimed in claim 2, wherein, before described compare is carried out to the data value of the correspondence attribute, also
Including data format pretreatment, the data value of the same alike result of acquisition is subjected to unified format analysis processing.
4. the method for claim 1, wherein the exception is that comparative result has problem data, described problem data
It is that data dislocation, shareholder all delete or key personnel all deletes.
5. the method as described in claim 1, is further characterized in that and sends the error notification by message queue technology (MQ).
6. the method as described in claim 1, pushes the change to the user in real time by message queue technology (MQ) and believes
The notice of breath.
7. the method as described in claim 1, is further characterized in that the notice is notifications, SMS notification or mail notification
Any one, or the notification type any combination.
8. the method for claim 1, wherein the notice for pushing modification information to user also includes：According to user
Each dimension data of enterprise's refinement of self-defined reception, user can be according to the self-defined assembling dimension of data format of push.
9. the method as described in claim 1, the database is the non-relational database of Doctype.
10. non-relational database described in method as claimed in claim 10 is：mongoDB.
11. a kind of business data radar monitoring system based on enterprise's big data platform, it is characterised in that including：
First enterprise data entities acquisition module, for obtaining the first enterprise data entities in real time by least one server,
First enterprise data entities are newest enterprise data entities；
Enterprise data entities database, for managing current enterprise data entity；
Second enterprise data entities acquisition module, for obtaining the current enterprise data entity from the database,
Radar monitoring comparison module, for comparing first enterprise data entities and second enterprise data entities；
Radar monitoring comparison module also includes self-defined investigation module, and the self-defined investigation module is used to investigate described to compare knot
Really, if normal change, then by the enterprise data entities database update current data, if comparative result is abnormal, then
First enterprise data entities are reacquired by the first enterprise data entities acquisition module；The self-defined investigation module is also
The number of times abnormal for counting above-mentioned comparative result；
Message pushing module, for when the comparative result is normal change, change to be pushed in real time to the user of concern enterprise
The notice of more information；The message pushing module is additionally operable to when the comparative result frequency of abnormity exceedes predetermined threshold value, Xiang Kai
Hair personnel push error message notification.
12. method as claimed in claim 11, wherein, the radar monitoring comparison module is additionally operable to：Skill is mapped by bottom
Art obtains attributes all under first enterprise data entities and the second enterprise data entities automatically, is obtained by GetValue
The data value of the attribute, the data value of relatively more described two data entity correspondence attributes.
13. system as claimed in claim 12, the radar monitoring comparison module also includes data preprocessing module, for
The data value for corresponding to attribute is carried out before described compare, data format pre-processed, by the number of the same alike result of acquisition
Unified format analysis processing is carried out according to value.
14. system as claimed in claim 11, the exception is that comparative result has problem data, described problem data are several
All deleted according to dislocation, shareholder or key personnel all deletes.
15. system as claimed in claim 11, it is logical that message pushing module sends the mistake by message queue technology (MQ)
Know.
16. system as claimed in claim 11, message pushing module is by message queue technology (MQ) in real time to the user
Push the notice of the modification information.
17. system as claimed in claim 16, the notice is any one of notifications, SMS notification or mail notification,
Or any combination of the notification type.
18. system as claimed in claim 11, wherein, the message pushing module is additionally operable to what is received according to User Defined
Each dimension data of enterprise's refinement, according to the user-defined dimension propelling data.
19. system as claimed in claim 11, the database is the non-relational database of Doctype.
20. system as claimed in claim 19, the database is：mongoDB.
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| CN108876228A (en) * | 2018-09-28 | 2018-11-23 | 苏州朗动网络科技有限公司 | Monitoring method, device, computer equipment and the storage medium of business risk |
| CN109460977A (en) * | 2018-11-08 | 2019-03-12 | 国久大数据有限公司 | The management method and device of Data-report |
| CN109656910A (en) * | 2018-12-06 | 2019-04-19 | 哈尔滨工业大学 | Expansible Large Scale Biology medicine sample management and Visualization Platform |
| CN109902256A (en) * | 2019-02-26 | 2019-06-18 | 北京金堤科技有限公司 | Monitoring method, device, electronic equipment and the computer-readable medium of data |
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| CN108876228A (en) * | 2018-09-28 | 2018-11-23 | 苏州朗动网络科技有限公司 | Monitoring method, device, computer equipment and the storage medium of business risk |
| CN108876228B (en) * | 2018-09-28 | 2021-06-18 | 企查查科技有限公司 | Enterprise risk monitoring method and device, computer equipment and storage medium |
| CN109460977A (en) * | 2018-11-08 | 2019-03-12 | 国久大数据有限公司 | The management method and device of Data-report |
| CN109656910A (en) * | 2018-12-06 | 2019-04-19 | 哈尔滨工业大学 | Expansible Large Scale Biology medicine sample management and Visualization Platform |
| CN109656910B (en) * | 2018-12-06 | 2021-04-13 | 哈尔滨工业大学 | Extensible large-scale biomedical sample management and visualization platform |
| CN109902256A (en) * | 2019-02-26 | 2019-06-18 | 北京金堤科技有限公司 | Monitoring method, device, electronic equipment and the computer-readable medium of data |
| CN111258968A (en) * | 2019-12-30 | 2020-06-09 | 广州博士信息技术研究院有限公司 | Enterprise redundant data cleaning method and device and big data platform |
| CN111754131A (en) * | 2020-06-30 | 2020-10-09 | 苏州朗动网络科技有限公司 | Enterprise information dynamic monitoring method, equipment and medium |
| CN111815272A (en) * | 2020-06-30 | 2020-10-23 | 平安国际智慧城市科技股份有限公司 | Application auditing method and device, electronic equipment and storage medium |
| CN114613189A (en) * | 2022-03-07 | 2022-06-10 | 重庆高技术创业中心有限公司 | Park enterprise hatching management system |
| CN114613189B (en) * | 2022-03-07 | 2023-12-26 | 重庆高技术创业中心有限公司 | Park enterprise hatching management system |
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