CN110070465B - Data center value-added service system based on multi-agent operation and maintenance - Google Patents
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Abstract
The invention discloses a data center value-added service system based on multi-agent operation and maintenance, which adopts multi-agents to realize the operation and maintenance of an integrated data center, adopts the multi-agents to detect, process and display data of different equipment operation systems, simultaneously collects the data of the whole operation system through the multi-agents, constructs an information knowledge base to process, analyze and classify the collected data, provides demand reply and potential demand information push, and thus provides value-added service.
Description
Technical Field
The invention relates to the technical field of data operation and maintenance, in particular to a data center value-added service system based on multi-agent operation and maintenance.
Background
At present, value-added services are more and more common, more comprehensive and more refined service experience is brought to users, corresponding solution strategies are provided according to user requirements, and the solution strategies are obtained by collecting, analyzing and counting data, and then information expansion is carried out to obtain further user requirements.
However, management of huge data is a difficult problem, the existing general system management mode is difficult to deal with changes of servers such as cloud computing, virtualization, centralization and densification, the operation efficiency of a data center is low, and value-added services are not provided accurately and timely.
Therefore, how to efficiently process the operation and maintenance system data and provide accurate value-added services is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a data center value-added service system based on multi-agent operation and maintenance, which adopts multi-agents to realize operation and maintenance of an integrated data center, and can realize block detection operation, uses multiple agents to detect operation and maintenance of different operating systems, and simultaneously collects data and sends the data to an information knowledge base, processes and analyzes the collected data, deduces a current request and a potential demand, and invokes corresponding data information to perform a reply of the current request and a push service of the potential demand.
In order to achieve the purpose, the invention adopts the following technical scheme:
a data center value-added service system based on multi-agent operation and maintenance comprises: the multi-agent data center operation and maintenance system comprises a multi-agent data center operation and maintenance system architecture, an operation and maintenance operation management system and a value-added service system;
the multi-agent data center operation and maintenance system architecture comprises a multi-agent communication system, a communication interface, an information node, a controller, an operation and maintenance knowledge base and an effector; the controller comprises an interpreter, a context retriever, an operation and maintenance body and an information node monitor; the information node monitor is communicated with the information node and the operation and maintenance knowledge base; the context retriever is communicated with the operation and maintenance knowledge base; the multi-agent communication system carries out information interaction with the information node and the effector in real time through the communication interface;
the operation and maintenance operation management system comprises an operation and maintenance monitoring intelligent agent, an alarm management intelligent agent, an equipment management intelligent agent, an environment management intelligent agent and a security system intelligent agent; the alarm management intelligent agent, the equipment management intelligent agent, the environment management intelligent agent and the security system intelligent agent are respectively communicated with the operation and maintenance monitoring intelligent agent; the operation and maintenance monitoring agent is in interactive communication with the multi-agent communication system;
the value added service system comprises an information knowledge base and a display platform; the information knowledge base comprises a data collection platform, a database management platform and a reply pushing platform; the data collection platform is communicated with the operation and maintenance knowledge base, collects and stores data and transmits the data to the database management platform; the database management platform comprises a knowledge model, an inference engine and a manager; and the reply pushing platform receives a request sent by a user terminal, calls corresponding classification knowledge and data from the database management platform according to the request content, and sends the classification knowledge and the data to the display platform or the user mobile equipment terminal.
Preferably, the information node listener monitors updates of context information stored in the operation and maintenance knowledge base from the distributed information nodes through the interpreter, the context retriever indexes and retrieves the context information stored in the operation and maintenance knowledge base through the interpreter, the context is retrieved and changed, and the operation and maintenance body performs adaptive management.
Preferably, the alarm management agent, the equipment management agent, the environment management agent and the security system agent acquire real-time data of each management system in real time, respectively perform detection analysis, and perform visual processing on detection results and send the detection results to the operation and maintenance monitoring agent for data display.
Preferably, the operation and maintenance monitoring agent collects and uploads the detection result, and sends the detection result to the multi-agent communication system.
Preferably, the database management platform identifies and classifies the data sent by the data collection platform, and performs potential information mining.
Preferably, the multi-agent data center operation and maintenance system architecture is implemented as follows:
step 11: the multi-agent communication system sends the operation and maintenance environment change to the information node through a communication interface;
step 12: the information node sends the received operation and maintenance environment information to the controller and the effector;
step 13: the information node monitor monitors updates of context information stored in the operation and maintenance knowledge base from the distributed information nodes through an interpreter;
step 14: the context retriever indexes and retrieves the context information stored in the operation and maintenance knowledge base through an interpreter;
step 15: the context is retrieved and changed, and the operation and maintenance body carries out self-adaptive management;
step 16: the operation and maintenance knowledge base deduces a high-level context according to the operation and maintenance ontology;
and step 17: the effector acts to send data to the multi-agent communication system through the communication interface.
Preferably, the operation and maintenance operation management system specifically operates as follows:
step 21, the operation and maintenance monitoring intelligent agent, the alarm management intelligent agent, the equipment management intelligent agent, the environment management intelligent agent and the security system intelligent agent respectively monitor and manage operation and maintenance systems of each part;
step 22: the alarm management intelligent agent monitors and manages the alarm management system and collects real-time data; the equipment management intelligent agent monitors and manages the power equipment and the network equipment hardware management system and collects real-time data; the environment management intelligent agent monitors and manages an environment management system and collects real-time data; the security system intelligent agent monitors and manages the security system and collects real-time data; the various agents respectively carry out detection analysis on the collected data, and the detection results are processed in a visualized manner and are all transmitted to the operation and maintenance monitoring agents for data display;
step 23: the operation and maintenance monitoring intelligent agent collects real-time data of the operation and maintenance system for visual display, and collects and transmits the received visual information to the multi-intelligent-agent communication system.
Preferably, the specific operation process of the value-added service system is as follows:
step 31: establishing a data collection platform to collect and store the operation and maintenance knowledge base data and external shared data, and establishing a huge knowledge base;
step 32: sending the collected data to the database management platform, and extracting and purifying the data by the database management platform and loading the data into a data center;
step 33: the data center carries out aggregation processing on the data to form a data warehouse;
step 34: classifying the data in the data warehouse according to a knowledge model, and extracting corresponding professional data to form a data mart;
step 35: the data of the data center is mapped with dictionary data of a service system through matching and merging logic, unified analysis caliber and data service are provided, and the reply pushing platform receives a user request, calls corresponding data and sends the data to a display platform or a user equipment end sending the request;
step 36: and the display platform displays the query result or the user equipment end sending the request receives the data information related to the request.
According to the technical scheme, compared with the prior art, the data center value-added service system based on multi-agent operation and maintenance is provided, the multi-agent operation and maintenance is adopted, data collected by the multi-agent are analyzed, processed and classified and stored in an information knowledge base, corresponding information is called according to a user request, and related information can be deduced according to the request content and pushed to a client side for value-added service.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic diagram of a multi-agent data center operation and maintenance system according to the present invention;
FIG. 2 is a schematic diagram of an operation management system of the operation and maintenance system according to the present invention;
fig. 3 is a schematic structural diagram of a medical operation and maintenance value-added service system provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A data center value-added service system based on multi-agent operation and maintenance comprises: the multi-agent data center operation and maintenance system comprises a multi-agent data center operation and maintenance system architecture, an operation and maintenance operation management system and a value-added service system;
the multi-agent data center operation and maintenance system architecture comprises a multi-agent communication system, a communication interface, an information node, a controller, an operation and maintenance knowledge base and an effector; the controller comprises an interpreter, a context retriever, an operation and maintenance body and an information node monitor; the information node monitor is communicated with the information node and the operation and maintenance knowledge base; the context retriever is communicated with the operation and maintenance knowledge base; the multi-agent communication system carries out information interaction with the information node and the effector in real time through the communication interface;
the operation and maintenance operation management system comprises an operation and maintenance monitoring intelligent agent, an alarm management intelligent agent, an equipment management intelligent agent, an environment management intelligent agent and a security system intelligent agent; the alarm management intelligent agent, the equipment management intelligent agent, the environment management intelligent agent and the security system intelligent agent are respectively communicated with the operation and maintenance monitoring intelligent agent; the operation and maintenance monitoring agent carries out interactive communication with the multi-agent communication system;
the value-added service system comprises an information knowledge base and a display platform; the information knowledge base comprises a data collection platform, a database management platform and a reply pushing platform; the data collection platform is communicated with the operation and maintenance knowledge base, collects and stores data and transmits the data to the database management platform; the database management platform comprises a knowledge model, an inference engine and a manager; and the reply pushing platform receives a request sent by the user terminal, calls corresponding classification knowledge and data from the database management platform according to the request content, and sends the classification knowledge and data to the display platform or the user mobile equipment terminal.
In order to further optimize the technical scheme, the information node monitor monitors updating of context information stored in the distributed information nodes and the operation and maintenance knowledge base through the interpreter, the context retriever indexes and retrieves the context information stored in the operation and maintenance knowledge base through the interpreter, the context is retrieved and changed, and the operation and maintenance body carries out self-adaptive management.
In order to further optimize the technical scheme, the alarm management intelligent agent, the equipment management intelligent agent, the environment management intelligent agent and the security system intelligent agent acquire real-time data of each management system in real time, respectively perform detection analysis, perform visual processing on detection results, and send the detection results to the operation and maintenance monitoring intelligent agent for data display.
In order to further optimize the technical scheme, the operation and maintenance monitoring agent collects and uploads the detection result and sends the detection result to the multi-agent communication system.
In order to further optimize the technical scheme, the database management platform identifies and classifies the data sent by the data collection platform and performs potential information mining.
In order to further optimize the technical scheme, the specific implementation process of the multi-agent data center operation and maintenance system architecture is as follows:
s11: the multi-agent communication system sends the operation and maintenance environment change to the information node through the communication interface;
s12: the information node sends the received operation and maintenance environment information to the controller and the effector;
s13: the information node monitor monitors the updating of the context information stored in the distributed information nodes and the operation and maintenance knowledge base through the interpreter;
s14: the context retriever indexes and retrieves the context information stored in the operation and maintenance knowledge base through the interpreter;
s15: the context is searched out and changed, and the operation and maintenance body carries out self-adaptive management;
s16: the operation and maintenance knowledge base deduces a high-level context according to the operation and maintenance ontology;
s17: the effectors act to transmit data to the multi-agent communication system through the communication interface.
In order to further optimize the technical scheme, the operation and maintenance operation management system specifically operates as follows:
s21, respectively monitoring and managing operation and maintenance systems of the operation and maintenance monitoring intelligent body, the alarm management intelligent body, the equipment management intelligent body, the environment management intelligent body and the security system intelligent body;
s22: the alarm management intelligent agent monitors and manages the alarm management system and collects real-time data; the equipment management intelligent agent monitors and manages the power equipment and the network equipment hardware management system and collects real-time data; the environment management intelligent agent monitors and manages the environment management system and collects real-time data; the intelligent agent of the security system monitors and manages the security system and collects real-time data; the various intelligent agents respectively carry out detection analysis on the collected data, visually process the detection results and transmit the detection results to the operation and maintenance monitoring intelligent agents for data display;
s23: the operation and maintenance monitoring intelligent agent collects real-time data of the operation and maintenance system for visual display, and collects and transmits the received visual information to the multi-intelligent-agent communication system.
In order to further optimize the technical scheme, the specific operation process of the value-added service system is as follows:
s31: establishing a data collection platform to collect, store, operate and maintain the data of the knowledge base and external shared data, and establishing a huge knowledge base;
s32: sending the collected data to a database management platform, and extracting and purifying the data by the database management platform and loading the data into a data center;
s33: the data center carries out aggregation processing on the data to form a data warehouse;
s34: classifying data in the data warehouse according to the knowledge model, and extracting corresponding professional data to form a data mart;
s35: the data of the data center is mapped with dictionary data of a service system through matching and merging logic, unified analysis caliber and data service are provided, and a reply pushing platform receives a user request, calls corresponding data and sends the data to a display platform or a user equipment end for sending the request;
s36: the display platform displays the query result or the user equipment terminal sending the request receives the request related data information.
Examples
A value-added service of medical information knowledge base is to set up a knowledge base to connect with external information source, collect and store data model of clinical business field, including patient management field, medical advice field, laboratory field, observation field, case field, medical case field, operation field, nursing field, etc, and dictionary data stored in hospital business system and national standard, running standard, landmark, hospital department, service unit, service personnel, service items used in hospital business, and medical care related guide, standard, literature, management rule, etc, to set up a huge database to store fixed knowledge and mobile data.
And then establishing a data warehouse, wherein the data in the data warehouse is formed by calculating and aggregating the data in the data center. Extracting data from data of a data warehouse and a knowledge base and collecting data from a data source served by a medical professional team, storing the data into the data warehouse through extraction and conversion, integrating business data of all medical systems, establishing a uniform data center, and establishing metadata in the data warehouse to express data information. Since there are many kinds of associations between medical treatments, one medical treatment can be decomposed into a plurality of knowledge units, there are associations between examination indexes and symptoms of different medical treatments, and there are associations between various treatment means. Therefore, each kind of knowledge is expressed in a class mode, and each kind of knowledge comprises three parts of content, namely a class, an attribute and an individual according to an expression mode based on an ontology. Metadata provides an information directory for accessing the data warehouse, the directory comprehensively describes what data is in the data warehouse, how the data is obtained and how the data is accessed, the data warehouse is a center for operating and maintaining the data warehouse, the data warehouse server uses the metadata to store and update the data, and users can know and access the data warehouse through the metadata.
The database management platform comprises a medical knowledge model, an inference machine and a manager, expresses knowledge information and carries out structuralization of operation forms through the knowledge model, and carries out knowledge classification according to environment, treatment stages, patient types, results and subject specialties so as to establish a knowledge-based information expression and structuralization method in application practice. After the knowledge and the data are expressed and structured, the operation of the knowledge is completed through an inference machine, the operation comprises the consistency check of the knowledge, the deductive retrieval of the knowledge and the like, the existing knowledge and the data are inferred by adopting the rule inference, the model inference, the case inference, the fuzzy inference and the like to obtain new knowledge, the knowledge is operated and processed by utilizing the natural language processing technology, and the processed natural language text is subjected to text mining and information extraction facing mass information. And finally, the original knowledge and data and the knowledge and data obtained by inference are accessed and processed through a manager, and the stored knowledge and data are operated and processed through a descriptive language, namely, through an information query request sent by a user terminal, a database management platform calls and processes related information according to the request description.
And the reply pushing platform calls the relevant knowledge and data information from the database management platform and sends the relevant knowledge and data information to the display platform or the user terminal equipment, or the e-commerce sends a propaganda request, calls the relevant user information by judging, classifying and comparing the request information and sends the propaganda request to the relevant user mobile terminal equipment, so that the information is pushed.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (6)
1. A data center value-added service system based on multi-agent operation and maintenance is characterized by comprising: the multi-agent data center operation and maintenance system comprises a multi-agent data center operation and maintenance system architecture, an operation and maintenance operation management system and a value-added service system;
the multi-agent data center operation and maintenance system architecture comprises a multi-agent communication system, a communication interface, an information node, a controller, an operation and maintenance knowledge base and an effector; the controller comprises an interpreter, a context retriever, an operation and maintenance body and an information node monitor; the information node listener is communicated with the information node and the operation and maintenance knowledge base; the context retriever is communicated with the operation and maintenance knowledge base; the multi-agent communication system carries out information interaction with the information node and the effector in real time through the communication interface;
the operation and maintenance operation management system comprises an operation and maintenance monitoring intelligent agent, an alarm management intelligent agent, an equipment management intelligent agent, an environment management intelligent agent and a security system intelligent agent; the alarm management intelligent agent, the equipment management intelligent agent, the environment management intelligent agent and the security system intelligent agent are respectively communicated with the operation and maintenance monitoring intelligent agent; the operation and maintenance monitoring agent and the multi-agent communication system are in interactive communication;
the value-added service system comprises an information knowledge base and a display platform; the information knowledge base comprises a data collection platform, a database management platform and a reply pushing platform; the data collection platform is communicated with the operation and maintenance knowledge base, collects and stores data and transmits the data to the database management platform; the database management platform comprises a knowledge model, an inference engine and a manager; the reply pushing platform receives a request sent by a user terminal, calls corresponding classification knowledge and data from the database management platform according to the content of the request, and sends the classification knowledge and the data to the display platform or the user mobile equipment terminal;
the database management platform identifies and classifies the data sent by the data collection platform and carries out potential information mining;
the specific operation process of the value added service system is as follows:
step 31: establishing a data collection platform to collect and store the operation and maintenance knowledge base data and external shared data, and establishing a huge knowledge base;
step 32: sending the collected data to the database management platform, and extracting and purifying the data by the database management platform and loading the data into a data center;
step 33: the data center carries out aggregation processing on the data to form a data warehouse;
step 34: classifying the data in the data warehouse according to a knowledge model, and extracting corresponding professional data to form a data mart;
step 35: the data of the data center is mapped with dictionary data of a service system through matching and merging logic, unified analysis caliber and data service are provided, and the reply pushing platform receives a user request, calls corresponding data and sends the data to a display platform or a user equipment end sending the request;
and step 36: the user equipment end which displays the query result or sends the request receives the request related data information by the display platform;
establishing metadata in a data warehouse to express data information; the metadata provides an information directory for accessing the data warehouse; the data warehouse server stores and updates data by using the metadata, and simultaneously, users know and access the data warehouse by using the metadata;
performing class expression on each class of knowledge, wherein the expression of each class of knowledge comprises three contents of a class, an attribute and an individual according to an expression mode based on an ontology;
after the knowledge and the data are expressed and structured, the operation on the knowledge is completed through an inference machine, including consistency check on the knowledge and deductive retrieval of the knowledge, the existing knowledge and the data are inferred by adopting regular inference, model inference, case inference and fuzzy inference to obtain new knowledge, the knowledge is operated and processed by utilizing a natural language processing technology, and the processed natural language text is subjected to text mining and information extraction facing mass information; the original knowledge and data and the knowledge and data obtained by reasoning are accessed and processed through a manager;
and the reply pushing platform judges classification and comparison through the request information, calls related user information, and sends the propaganda request to the mobile terminal equipment of the related user to complete pushing of the information.
2. The multi-agent operation and maintenance-based data center value-added service system as claimed in claim 1, wherein the information node listener listens for updates from context information stored in the operation and maintenance knowledge base and the information node listener listens for updates from context information stored in the operation and maintenance knowledge base, the context retriever indexes and retrieves the context information stored in the operation and maintenance knowledge base through the interpreter, the context is retrieved and changed, and the operation and maintenance ontology performs adaptive management.
3. The multi-agent operation and maintenance-based data center value-added service system as claimed in claim 1, wherein the alarm management agent, the equipment management agent, the environment management agent and the security system agent obtain real-time data of each management system in real time, respectively perform detection and analysis, and perform visualization processing on detection results and send the detection results to the operation and maintenance monitoring agent for data display.
4. The multi-agent operation and maintenance-based data center value-added service system as claimed in claim 3, wherein the operation and maintenance monitoring agent summarizes and uploads the detection result to the multi-agent communication system.
5. The multi-agent operation and maintenance-based data center value-added service system as claimed in claim 2, wherein the multi-agent operation and maintenance system architecture is implemented as follows:
step 11: the multi-agent communication system sends the operation and maintenance environment change to the information node through a communication interface;
step 12: the information node sends the received operation and maintenance environment information to the controller and the effector;
step 13: the information node monitor monitors updates of context information stored in the operation and maintenance knowledge base from the distributed information nodes through an interpreter;
step 14: the context retriever indexes and retrieves the context information stored in the operation and maintenance knowledge base through an interpreter;
step 15: the context is retrieved and changed, and the operation and maintenance body carries out self-adaptive management;
step 16: the operation and maintenance knowledge base infers high-level context according to the operation and maintenance ontology;
and step 17: the effector acts to send data to the multi-agent communication system through the communication interface.
6. The multi-agent operation and maintenance-based data center value-added service system according to claim 3 or 4, wherein the operation and maintenance operation management system specifically operates as follows:
step 21: the operation and maintenance monitoring intelligent agent, the alarm management intelligent agent, the equipment management intelligent agent, the environment management intelligent agent and the security system intelligent agent respectively monitor and manage each part of operation and maintenance system;
step 22: the alarm management intelligent agent monitors and manages the alarm management system and collects real-time data; the equipment management intelligent agent monitors and manages the power equipment and the network equipment hardware management system and collects real-time data; the environment management intelligent agent monitors and manages an environment management system and collects real-time data; the security system intelligent agent monitors and manages the security system and collects real-time data; the various intelligent agents respectively carry out detection analysis on the collected data, visually process detection results and transmit the detection results to the operation and maintenance monitoring intelligent agents for data display;
step 23: the operation and maintenance monitoring intelligent agent collects real-time data of the operation and maintenance system for visual display, and collects and transmits the received visual information to the multi-intelligent-agent communication system.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101093559A (en) * | 2007-06-12 | 2007-12-26 | 北京科技大学 | Method for constructing expert system based on knowledge discovery |
| CN104462228A (en) * | 2014-11-13 | 2015-03-25 | 中国信息安全测评中心 | Semantics-based registration information security officer authentication capability evaluation method and system |
| CN104820959A (en) * | 2015-04-29 | 2015-08-05 | 赵蒙海 | Medical knowledge base system based on data mining |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20010049671A1 (en) * | 2000-06-05 | 2001-12-06 | Joerg Werner B. | e-Stract: a process for knowledge-based retrieval of electronic information |
| CN1613085A (en) * | 2001-11-02 | 2005-05-04 | 西门子共同研究公司 | Patient data digging for sorting lung cancer |
| KR20090080632A (en) * | 2008-01-22 | 2009-07-27 | 주식회사 비즈모델라인 | System and Method for Processing Advertisement Agent's Advertisement by Keyword Register, Message Processing Server and Recording Medium |
| CN101710318A (en) * | 2009-09-08 | 2010-05-19 | 中国农业大学 | Knowledge intelligent acquiring system of vegetable supply chains |
| US20140114949A1 (en) * | 2012-10-22 | 2014-04-24 | Bank Of America Corporation | Knowledge Management System |
| US10719487B2 (en) * | 2016-01-29 | 2020-07-21 | M-Files Oy | Method, an apparatus, a computer program product for determining metadata for a data item |
| CN107545140A (en) * | 2017-08-31 | 2018-01-05 | 上海德衡数据科技有限公司 | A kind of intelligent region emergency medical integrated data centring system prototype |
| CN107643973A (en) * | 2017-10-09 | 2018-01-30 | 上海德衡数据科技有限公司 | A kind of integrated data center operational system ontology information processing method based on multiple agent |
| CN107609336A (en) * | 2017-10-09 | 2018-01-19 | 上海德衡数据科技有限公司 | A kind of intelligent region portable medical Metadata integration data center systems prototype based on software definition |
| CN107862471A (en) * | 2017-11-29 | 2018-03-30 | 上海蓝色帛缔智能工程有限公司 | A kind of integrated data center O＆M cooperative system framework based on multiple agent |
-
2019
- 2019-03-20 CN CN201910213843.2A patent/CN110070465B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101093559A (en) * | 2007-06-12 | 2007-12-26 | 北京科技大学 | Method for constructing expert system based on knowledge discovery |
| CN104462228A (en) * | 2014-11-13 | 2015-03-25 | 中国信息安全测评中心 | Semantics-based registration information security officer authentication capability evaluation method and system |
| CN104820959A (en) * | 2015-04-29 | 2015-08-05 | 赵蒙海 | Medical knowledge base system based on data mining |
Non-Patent Citations (1)
| Title |
|---|
| 李小智 ; 罗铁清 ; .领域本体在区域医疗信息共享系统中的应用.计算机系统应用.2015,(01),第65-68页. * |
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