CN101576883A - Compound resource allocation and analysis system - Google Patents
Compound resource allocation and analysis system Download PDFInfo
- Publication number
- CN101576883A CN101576883A CNA2008100371383A CN200810037138A CN101576883A CN 101576883 A CN101576883 A CN 101576883A CN A2008100371383 A CNA2008100371383 A CN A2008100371383A CN 200810037138 A CN200810037138 A CN 200810037138A CN 101576883 A CN101576883 A CN 101576883A
- Authority
- CN
- China
- Prior art keywords
- resource
- data
- configuration
- layer
- information resources
- 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.)
- Pending
Links
Images
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a compound resource allocation and analysis system comprising a first resource allocation system which has a workflow architecture based on Web Service, a second resource allocation system which applies a data mining technology, a third resource allocation system which applies a grid computing technology, a heterogeneous data integrating system which is connected to the first resource allocation system, the second resource allocation system and the third resource allocation system and integrates heterogeneous data coming from the resource allocation systems, and a data analysis device which analyzes the integrated data. The invention also discloses a compound resource allocation and analysis method.
Description
Technical field
The present invention relates to data integration and analytical technology, relate in particular to a kind of composite factor configuration and analytic system.
Background technology
The reform of China's medical treatment system is moved towards the social security system from the socialized medicine system.Foundation by medical insurance system, progressively pushed medical expense to society, no longer by national load, add the reform of medical procurement is progressively prepared to the direction of separating drug dispensing from medical practice etc., all, also created good condition for the new application of infotech for China's medical industry is moved towards standardization, good basis has been established in the marketization.Along with the construction and the operation of hospital information system, data accumulation is more and more abundanter, becomes huge information wealth, for the career development progress of hospital provides strong support.Hospital will keep one's feet and try to achieve continuous development in the keen competition environment, must constantly form new decision-making to adapt to fast changing competitive landscape on the basis of analyzing data.In hospital, Army Hospital as medical institutions, faces the influence of above-mentioned overall situation as enterprise equally.In addition, the special nature of Army Hospital has also proposed special requirement to its informatization.
According to above demand background, Army Hospital according to army defend diligent system reach at ordinary times wartime health support organize and coordinate, requirement such as scheduling controlling, with the rapid reaction is core, solve that human resources, medical material, fund allocation and transfer etc. are defended directly the reporting automatically of diligent resource, compiled automatically, decision support demands such as intellectual analysis, intelligent planning and intelligent allocation, lifting army defends diligent system and defends diligent resource management and control level, realizes that army defends diligent commander by empirical to intelligent qualitative change.
For Army Hospital, realize that army defends the automatic management and control that diligent system defends diligent resource and faces following difficulty: source resource is various, human resources, medical material, fund or the like are all from different data sources, and data volume is huge, uses traditional computer network and artificial auxiliary mode to be difficult to accomplish in time, to analyze exactly.Therefore, just need a kind of system that can be configured and analyze composite factor quickly and accurately.
Summary of the invention
The present invention is directed to above-mentioned application demand, propose a kind of composite factor configuration and analytic system, it can be configured and analyze the composite factor data quickly and accurately.
Technical scheme of the present invention is achieved as follows:
A kind of composite factor configuration and analytic system comprise: first resource configuration system, and wherein this first resource configuration system adopts the working fluid architecture based on Web Service; Second resource configuration system, wherein this second resource configuration system application data digging technology; Information resources configuration-system, wherein this information resources configuration-system Application Grid computing technique; Heterogeneous data integrated system is connected to described first resource configuration system, second resource configuration system and information resources configuration-system, will carry out integrated from the isomeric data of above-mentioned resource configuration system; Data analysis set-up is analyzed the data after integrated.
It is core that described first resource configuration system has with the workflow technology, be the architecture of building blocks of function with the Web service, comprising: database layer, database layer is used for store data, comprises business datum, control data and related data; Function service layer, function service layer is made up by Web service, and the form encapsulation issue with Web service provides various application services to the user, realizes logic of business functions; Workflow layer, workflow layer are used for the definition of workflow, and the foundation of workflow example, management, coordination and control; And presentation layer, presentation layer is a user interactions interface aspect, embodies the business operation of system.This first resource configuration system is used to dispose human resources.
Described second resource configuration system carries out the processing of one of the following at least to second resource: resource uses prediction, resource to use budget, resource to use decision-making, resource to use control, resource to use form.
Described second resource configuration system comprises: compatible system, carry out compatibility with the existing system that is used to manage second resource; Data warehouse is used to store data; Decision support system (DSS) provides decision-assisting analysis based on the data of being stored; And monitoring and statistical system, the use of second resource is monitored and added up.This second resource configuration system is used to dispose financial resources.
Described information resources configuration-system comprises: application layer, and application layer realization user management, information resources are adopted confession, information resources monitoring, information resources management; Information integration middleware, information integration middleware are used for integrated various isomeric data resource; Clathrum, clathrum comprise the Globus tool software; And resource layer, resource layer comprises the data resource and the device resource of various isomeries.This information resources configuration-system is used to dispose physical resources.
Above-mentioned data analysis set-up provides patterned data analysis.
The present invention also provides a kind of composite factor configuration and analytical approach, comprising: adopt the working fluid architecture based on WebService that first resource is configured; The application data digging technology is configured second resource; The Application Grid computing technique is configured information resources; Carry out integrated to the isomeric data in first resource, second resource and the information resources; And the data after integrated are analyzed.
Adopt composite factor configuration of the present invention and analytical approach, can accomplish rapid reaction to the composite factor configuration, automatically compile, intellectual analysis, especially, defend in the application of diligent system in Army Hospital and army, requirements such as energy ensures and organizes and coordinates, scheduling controlling, with the rapid reaction is core, solve that human resources, medical material, fund allocation and transfer etc. are defended directly the reporting automatically of diligent resource, compiled automatically, decision support demands such as intellectual analysis, intelligent planning and intelligent allocation, lifting army defends diligent system and defends diligent resource management and control level.
Description of drawings
Fig. 1 is the structured flowchart of composite factor configuration of the present invention and analytic system;
Fig. 2 is the structured flowchart of first resource configuration system of the present invention;
Fig. 3 is the structured flowchart of second resource configuration system of the present invention;
Fig. 4 is the structured flowchart of information resources configuration-system of the present invention;
Fig. 5 is the process flow diagram of composite factor configuration of the present invention and analytical approach.
Embodiment
With reference to figure 1, the present invention has disclosed a kind of composite factor configuration and analytic system, and this system 10 comprises:
First resource configuration system 11, wherein this first resource configuration system adopts the working fluid architecture based on WebService;
Second resource configuration system 12, wherein this second resource configuration system application data digging technology;
Information resources configuration-system 13, wherein this information resources configuration-system Application Grid computing technique;
Heterogeneous data integrated system 14 is connected to described first resource configuration system, second resource configuration system and information resources configuration-system, will carry out integrated from the isomeric data of above-mentioned resource configuration system;
Data analysis set-up 15 is analyzed the data after integrated.
With reference to shown in Figure 2, it is core that this first resource configuration system 11 has with the workflow technology, be the architecture of building blocks of function with the Web service, further comprises following parts:
In one embodiment, first resource configuration system is used to dispose human resources.
For Army Hospital, human resources configuration requires hospital's management work of human resource can accomplish to help hospital to implement the modern human resources strategy of total involvement, accelerate the reaction velocity of human resource management, optimize the flow process of human resource management, increase work efficiency hospital's human resource information platform of forming efficiently, having the height integration.
In order to reach above-mentioned target, the design concept that first resource configuration system of the present invention uses workflow (Workflow) realizes the configuration of human resources.Web Services is a kind of distributing mode computer system structure based on Internet.By using open standards such as HTTP, XML and SOAP, Web Services provides renewal, simpler connection type, becomes the new platform of application integration.Application program forms by the Web service structure that uses a plurality of separate sources, no matter where or how these services are positioned at and realize that they can mutually interact.Web Services has good dynamic perfromance, and it all regards all as service, and this service can be by using the message transmission dynamically to be found on network and organizing.Enterprise can come dynamically to provide to the user their service by the Web service of issuing oneself, the also application of other enterprises on the searching for Internet automatically, and compare and select to be integrated in the computer system of oneself.Web Services technology and workflow technology are the IT technology of two kinds of function opposite independent.Along with continuous expansion of the application scale of workflow technology and continuous expansion of application require Workflow system to reveal stronger adaptability to various change lists.And the intellectuality service that Web Services technology has satisfied the internet is to the requirement of distributed, opening and platform-neutral, and, it aspects such as robustness, security, modularization improve and ripe, make it become the main flow computing technique of industry gradually.Simultaneously, the people that are configured as of the development of Internet and Intranet provide a desirable cooperative working environment, also make the Workflow Management System based on WebServices become possibility.At first, Web Services uses http protocol and the standard XML message passing mechanism that has become industrial standard, and this has reduced between the isomerous environment the privately owned adapter and the needs of connector; Secondly, be loosely-coupled between system's each several part, have the integration capability of height again; In addition, the security protocol among the Web Services has ensured the mutual security and the integrality of interactive information.This makes Web Services can shield the difference of various soft, hardware platforms fully, supports mutual between the isomery Workflow system well.
The present invention combines two kinds of above-mentioned technology, designed working fluid architecture based on Web Service, the actual requirement of cohesive process management and the distributed demand of network calculations, employing is core with the workflow technology, this architecture of architecture that with the Web service is building blocks of function comprises four levels (with reference to shown in Figure 2), from bottom to top is respectively database layer, function service layer, workflow layer and presentation layer.Database layer is mainly deposited various data, comprises the business event data, control data and various related data; Function service layer is made up by Web service, and the form encapsulation issue with Web service provides various application services to the user, realizes the logic of business functions of enterprise.Workflow layer is responsible for the definition of workflow, the foundation of workflow example, management, coordination and control etc., and it is the key of total system co-ordination; Presentation layer is a user interactions interface aspect, embodies the business operation of system.First resource configuration system of the present invention adopts the workflow engine based on Web Services, and workflow clients, workflow engine and workflow monitoring etc. are all issued in the mode of Web Services.
Realization framework based on the workflow engine of Web Services is as follows: system adopts the workflow engine based on Webservices, and work activities by managing a sequence and related personnel, resource, infotech data provide the automatic control on the business processing program.Workflow Management System by computer software define, management and execution work flow process.Computing machine utilization program implementation order is then described by the computing machine of workflow logic and is driven in Workflow Management System, its main target is the precedence that each step in the business procedure (or title activity, link) is taken place, and manage, thereby realize the robotization of business procedure with calling of the relevant manpower of each step, resource, information material etc.This management realizes that under different information and communication environment related scope is little of a working group that has only several people, and is big between each mechanism of tissue.Workflow Management System is integrated into an integral body with personnel, institutional framework, device resource, information source (as database, file system, Email, cad tools etc.).Like this, make Workflow Management System become a professional knowledge warehouse that is used for accommodating service logic, and give service logic a manageable interface easy to operate.
The relevant criterion of Web Services all is the open protocol of W3C, with platform and operating system independent, the realization of different platforms and the Web Services on the operating system can be accomplished interoperability to a great extent, and this just makes use on the heterogeneous platform integrated become very easy.Because Web Services adopts simple, understandable standard Web agreement (WSDL, soap protocol etc.) as assembly interface description and the collaborative standard of describing, shielded the difference of different software platforms fully, thereby alleviated the difficulty and the complexity of the system integration, but realized the highest integration under current environment.
By enforcement based on the Workflow Management System of Web services, realized separating of body applied logic and process logic, under the situation of not revising concrete function, by revising the function that the operation flow template changes system, finish partial service or all professional integrated management to organizing the production and operation process, effectively human resources, physical resources and information organization are in the same place the usefulness that performance is maximum.
12 pairs second resources of this second resource configuration system are carried out the processing of one of the following at least: resource uses prediction, resource to use budget, resource to use decision-making, resource to use control, resource to use form.With reference to shown in Figure 3, this second resource configuration system 12 comprises:
Decision support system (DSS) 33 provides decision-assisting analysis based on the data of being stored; And
Monitoring and statistical system 34 are monitored and are added up the use of second resource.
According to an embodiment, second resource configuration system is used to dispose financial resources.
The fund resource distribution is in hospital, especially the critical role in the administration of army hospital is used intelligent data analysis and data mining technology, finds various valuable information and knowledge from the financial database of flood tide, for decision-making provides support, has important practice significance.
The fund resource distribution of Army Hospital faces following problem: data volume is huge, data source is various and data by uncertainty and imperfection, simultaneously, because the cause specific of system, the fund management system of Army Hospital must be compatible mutually with existing fund management system.
Data mining technology refers to from real application data uncertain, incomplete, fuzzy, at random, extract lie in wherein, ignorant in advance, but be the information of potentially useful and the process of knowledge.It is applied to various fields, and analysis is common to financial position of the enterprise wherein to utilize data mining technology, also is very important aspect simultaneously.The present invention utilizes data mining technology in second resource configuration system, the fund resource data is analyzed and extracted.Summary is got up, and the purpose of fund resource distribution decision-making application data digging technology has following 4 points:
1) reduces the financial analysis cost, enlarge the financial analysis scope.
2) level of in-depth fund resource analysis excavates potential valuable fund resource information.
3) improve the reliability of fund resource information, the fund resource decision foundation of science is provided.
4) promote fund resource analysis quality, improve core competitiveness.
Second resource configuration system of the present invention is achieved as follows:
According to the viewpoint of financial management, the major function of fund resource configuration system is divided into financial forecast, financial budget, investment decision, cost control analysis, the several main aspects of financial statement analysis.System framework comprises five levels, from bottom to top is respectively:
Management of financial accounting system (being compatible system), data warehouse, decision support system (DSS), financial monitoring management tool and performance appraisal assessment tool in the existing Legacy System (i.e. monitoring and statistical system).
The management of financial accounting system layer mainly is meant the financial system that Army Hospital is being moved now as a kind of compatible system, belongs to day to day operation and uses, and does not belong to this financial analysis system.But this layer is the data source of financial analysis system, produces and store the various financial datas of every day, therefore be used as it the basal layer of this financial analysis system so long.The data warehouse layer is integrated to basic data, for upper strata OLAP data analysis and data mining provide the data guarantee.Decision support system (DSS) is the main functional parts of financial analysis, and its major function is utilized OLAP and data mining technology exactly, finds useful financial information from data warehouse, to support the leader's of hospital decision-making.Supervisory layers can be monitored hospital's finance ruuning situation in real time; The performance appraisal evaluation layer is according to the analysis of financial information being assessed hospital's operation performance.
The most crucial data analysis function of system is realized jointly by a series of designs, exploitation, management tools such as relevant data warehouse, OLAP, ETL, form, data minings.Data analysis tool and rich data mining algorithm can help the client effectively to carry out deep business monitoring, analysis, decision support; The ETL instrument of enterprise-level will be supported the integration of various heterogeneous data sources; The Report Form Design management tool of intended for end consumers and the front end of Office is integrated that data display flexibly can be provided.Data analysis is mainly finished by three big service collaborations: integrated service, Analysis Service and form service.Integrated service provides support for the foundation of data warehouse, and Analysis Service provides support for OLAP and data mining, and the form service provides support for the displaying of analysis result.
In the configuration of financial resources, data mining algorithm has following application:
1) data mining in the working capital analysis.The data mining strategy that system of the present invention uses in working capital analysis mainly comprises: classify, estimate, predict and do not have a cluster of guidance.Classification policy is meant supervise learning, by the excavation to historical data, forms model of cognition, other data is differentiated, in the suitable class with its conclusion.In the data mining strategy that working capital analysis is used, be widely applied to this data mining strategy of classification.For example, in the control of accounts receivable,, can draw a risk client's decision model,, determine the amount of selling on credit to it with identification risk client by client's financial position and buying behavior are analyzed.For another example, in the control of accounts payable, also can be according to the urgency level classification of refunding, do not damaging under the prerequisite of self credit, rationally occupied fund.Different with classification policy, estimate that strategy has quantitative output attribute, this has more guiding value for effective control fund.For example,, can estimate the ratio of bad credit in the accounts receivable, so rational arrangement fund planning, the blindness of minimizing fund control for the control of accounts receivable.With estimate and classify differently that the purpose of prediction is to determine following output result, rather than current behavior.In fund control in real time, to predict following funds flow and flow usually, according to prediction result design funds transfer scheme, realize the optimization of capital management.
2) data mining during financial budget is analyzed.The data mining strategy that system of the present invention uses in the financial budget analysis mainly contains: prediction, nothing instruct cluster and correlation rule analysis.Prediction is an important ring of budget management, and prediction is the prerequisite of budget, predicts accurately by science, can work out out rational and reliable budget, thereby lays the foundation for the formulation of budget and control.Therefore, in budget control in real time, use this data mining strategy of prediction widely, comprised prediction of sales volume, cash flow or the like.Do not have and instruct cluster can be used for finding the concept structure of data, or assess a model that guidance is arranged.Can also be used for detecting the atypia example that data occur, i.e. isolated point.Detecting isolated point has special meaning in the control in real time in budget, by detecting the abnormal conditions that can find in the budget enforcement, so that in time take measures.The correlation rule analysis originally was mainly used in market basket analysis, its objective is the interesting relation that finds between the Retail commodity, and its result can be used to design the distribution scheme, arrange shelf and goods catalogue, and exploitation cross-selling strategy.Equally, market basket analysis also can be used for the analysis of budget enforcement, finds incidence relation therebetween, improves the validity of budget control.
3) data mining during cost control is analyzed.System of the present invention mainly contains at the data mining strategy of cost control analytical applications: statistical method, cluster analysis, correlation rule analysis and genetic algorithm.Statistical method is the fundamental method of data mining, and before the notion of data mining did not form, statistical method just was applied in financial analysis and the financial decision widely.Statistical method is mainly used in to be estimated and predicting strategy, can set up by regretional analysis and estimate and forecast model.Utilize the statistical method pair factor relevant to carry out correlation analysis to determine Cost Driver with the cost generation.By cluster analysis, Cost Driver can be sorted out, provide support for further assessing the cost.Cluster analysis is applied in the detection of cost variance, and can analyze the feature of difference, for the reason of further analyzing difference lays the first stone.In cost control was analyzed, correlation rule can be used for the analysis of cost variance.By association analysis to cost data, identify cost variance and produce relation between the reason of difference, foundation is provided for controlling cost.Genetic algorithm is a kind of new, iterative optimization method, emphasizes some aspect of nature evolution.Similar with artificial neural network, all utilized bionics techniques, set up model, seek separating of problem.Utilize genetic algorithm to analyze and to judge, draw optimum cost control analysis mode and method cost control in real time.
4) data mining in the financial early warning.The data mining strategy that financial early warning is used in the system of the present invention mainly comprises: classification, prediction and decision tree.Set up disaggregated model according to historical data, the financial position of enterprise is divided into several situations such as good, general and relatively poor, thereby has set up financial Early-warning Model.If financial position of the enterprise is fallen under the general state, just should analyze the concrete condition of enterprise, suitably draw attention.If financial position of the enterprise is fallen under the relatively poor state, just should send early warning information, the origin cause of formation of analyzing financial crisis, and the approach of seeking to dissolve risk.Equally, the financial position in prediction enterprise future also is an important ring of risk control, and a lot of risk factors just can display in certain period in future, and this just need judge risk by predicting.Decision tree and decision rule are the data digging methods that solves classification problem in the practical application.Utilize historical data as training sample by Data Mining Tools, generate decision tree.The decision model that utilizes decision tree to generate so just can be classified to new sample.Decision tree and decision rule are to support the important method of classification, can set up the financial position disaggregated model by decision tree, thereby can set up financial affairs early-warning system.Artificial neural network has the ability of learning by sample, and adaptability and fault-tolerance are preferably arranged, and can be used for making up classification, estimation and forecast model.Artificial neural network do not need to be specially adapted in the data mining of interpretation problems, also is fit to handle the data source of a large amount of noisy and data disappearances.Can utilize a large amount of historical datas by artificial neural network, set up the model of its financial position classification and prediction, thus effective recognition and control financial risk.
With reference to shown in Figure 4, this information resources configuration-system 13 comprises:
Application layer 41, application layer realization user management, information resources are adopted confession, information resources monitoring, information resources management;
Information integration middleware 42, information integration middleware are used for integrated various isomeric data resource;
Clathrum 43, clathrum comprise the Globus tool software; And
Resource layer 44, resource layer comprise the data resource and the device resource of various isomeries.
According to an embodiment, this information resources configuration-system is used to dispose physical resources.
The materials and equipment resources management of hospital is very complicated, for Army Hospital, because its special requirement is higher for the difficulty of materials and equipment resources management.The physical resources configuration management to goods and materials behavior such as receive, prop up, deposit follow the tracks of, analyze and control, to solve the contradiction of aspects such as time of existing between the goods and materials supply and demand, space, quantity, price.The target of hospital's physical resources configuration management and monitoring is will be by processes such as the buying of medical material, storage, consumption are organically gathered, the assurance material supply is timely, control goods and materials stock reduces the consumption of materials in the reasonable scope simultaneously, makes the goods and materials turnover more active and intelligent.Strengthen material management and monitoring, can be connected each link in the daily running of hospital, guarantee carrying out smoothly of curative activity.
Because the materials and equipment resources data normally are distributed on the different geographic position, therefore, it is proper that the Application Grid computing method are handled materials and equipment resources.Grid computing is formed new computing environment with the computational resource that is distributed in diverse geographic location by Internet and grid software as the infrastructure of new generation of a kind of foundation large-scale distributed calculating on the internet.The purpose of grid allows grid user transparently easily visit and shared gridding resource exactly.Three key characters of third generation grid are the overall situation cooperations that distributes, metadata and service-oriented method.
Third generation grid has very strong automatic meaning: the detailed knowledge that 1) comprises its assembly and state; 2) constructing system automatically; 3) behavior of seeking to optimize it obtains its purpose; 4) its environment of perception.
The calculating third generation grid that is particularly suitable for having dynamic change environment important attribute based on agency (Agent).Computation paradigm based on Agent has following feature: autonomy, social ability, target drives and response etc.Thereby we can regard grid as and are made up of a large amount of mutual Agents.
Based on this thought, the present invention has used service-oriented many agencies (Multi-agent) hospital physical resources configuration-system in the information resources configuration-system, to solve the problem that army defends diligent internal system resource management and monitoring resource.By the hospital's material management and the supervisory system of grid and the gridding of Multi-agent technique construction, can be implemented under the distributed environment management and monitoring to goods and materials.Can solve army based on grid and Multi-agent technology defends the army that exists in the physical resources configuration of diligent system and defends that diligent system goods and materials kind is many, kind is mixed, adopting for, use department, link of goods and materials is various, to problems such as the storage administration of goods and materials and monitoring difficulty are big.
The logical framework of this service-oriented Multi-agent system is used the client/server topology, and it is formed by 4 layers: application layer, information integration middleware, grid and resource layer (with reference to shown in Figure 4).Application layer has realized user management, and goods and materials are adopted confession, functions such as goods and materials monitoring, asset management.The information integration middleware is responsible for integrated various isomeric data resources.Clathrum is Globus tool software (GlobusToolkit).Last one deck is data resource and the device resource that resource layer comprises various isomeries.In native system, various resources all are packaged into Web Services and offer the upper strata use.But system mainly is the component architecture of plug, and purpose is to use in order to provide flexibly.
Grid platform is used for providing the grid architecture for whole grid environment.On the angle of technology, clathrum has served as the agency of resource layer.Application program can be handled the data of resource layer by mesh services, rather than directly visits the data of data Layer.By the service that clathrum provides, we are the various information that provide of remote access resource layer safely.Application layer provides the material management application program for us, all real works stream and all operate in the application layer based on the user interface of WEB.Application layer has been served as the user in the grid environment and has been operated access point, application program in the application layer can not directly visit with the service data layer in data, all data manipulations are considered and can only be finished by the mesh services that the information integration middleware provides from safety.
This system architecture has good expandability, can integrated at any time as required different hospitals material information.Structure field application message frameworkization, digital information is harmless to be gathered, digital information standardization storage, the digital information standardization transmits, and digital information is shared.
In the service-oriented Multi-agent system nature is the loosely-coupled network of problem solver Agents, ability and the insurmountable problem of knowledge that these problem solver Agents work together and solve single problem solver.These problem solvers are autonomous and can are isomery in itself.Therefore system design and be embodied as the set of forming by some mutual Agents.There are the traditional distribution and the advantage of parallel issue-resolution in such system, and has the advantage of mutual fine mode.
Typical A gents type of interaction comprises:
Cooperation: for common target is worked together;
Coordinate: organize problem-solving behaviour, avoid being harmful to mutual or develop favourable mutual;
Consult: reach the agreement protocol that all participant accepts.
In the system between the Agent and between Agent and the environment by communication, consult and cooperate and finish the problem that single Agent cann't be solved jointly.Constructed system has following characteristic:
1) each Agent has the incomplete information and the ability of dealing with problems;
2) there is not system's overall situation control;
3) data are disperseed;
4) it is asynchronous calculating.
In system of the present invention, for all kinds of goods and materials dispose the agency of a class Agent as such goods and materials.The Agent that acts on behalf of by goods and materials manages problems such as the quantity of goods and materials, position, buyings.Act on behalf of Agent except goods and materials and monitor Agent in addition, be responsible for goods and materials quantity and equipment operation situation are monitored, and mutual with other Agent.Native system Agent adopted middleware Technology alternately, the maximized concurrency of Agent in mutual that realized.
Just can finish all resource managements and scheduling feature because all kinds of Agent need consult cooperation, the model Grid-MANCF that has adopted service-oriented Multi-agent to consult among the present invention has realized that hospital's goods and materials adopt the negotiation Agents that is provided with and monitors.
For the dirigibility in obtaining to consult, As time goes on Agents may wish to change different weights of consulting subjects under discussion.For example, along with the change of time for the agreement of reaching an agreement with suitable method, excess time may be more and more important than other behavior of Agents.
The model Grid-MANCF that service-oriented Multi-agent consults has following characteristics in realization:
1) privacy of information: in order to find optimum value, evaluation function has to reveal.Therefore, normally unaccommodated for competition is consulted.
2) privacy of model: consult both sides and have to use identical evaluation function.Yet oppositely bid of bid of negotiator's in-service evaluation function evaluation and generation is that the negotiator attempts the opposing party is hidden.
3) value restriction: some predefined value scopes (they must define the scope of evaluation function) are arranged.But, always can not find these identical zones, and in fact negotiations process comprises the such zone of decision and whether exists under a lot of situations.
4) time restriction: the viewpoint of not free subject under discussion notion in negotiation.But the time is the main constraint of Agent behavior, and this is correct for the customer; Agents often has the final term of consulting the strictness that must finish when.For example, a video connects and must provide at 16:00, because have individual meeting to begin in this time; Negotiation in this instant time back all can not continue.
5) resource limit: do not have resource subject under discussion notion in negotiation, but the quantity of a special resource having very strong direct influence for the behavior of Agents, is very important feature concerning good negotiator to the correct evaluation of surplus resources.From the quantity of customer's viewpoint resource and the server that participates in consulting direct relation is arranged; From the viewpoint of server side also is identical situation.Therefore, the same behavior to Agents with the time of the quantity of resource has similar influence.
Another vital role of composite factor configuration of the present invention and analytic system is exactly realize isomeric data integrated, and this function is realized by heterogeneous data integrated system 14.With reference to shown in Figure 1, heterogeneous data integrated system 14 is connected to first resource configuration system 11, second resource configuration system 12 and information resources configuration-system 13, will carry out integrated from the isomeric data of above-mentioned resource configuration system.
For Army Hospital, there is multiple heterogeneous data source in first, second, third above-mentioned resource, relate to several operation systems, several data base management system, several data storehouse application system, need they be conducted interviews by unified data access middleware, and carry out integrated the data of these data sources.
On database technology, in same database, be feasible, but need to understand the structure in each base layer data storehouse, and write converse routine respectively that workload is quite big to the data-switching in the different base layer data storehouses.By researching and analysing the content of the database that needs integration, find that they structurally have very big characteristics, the content of each basic activity is single.Although the list structure difference of each database, one establishes a capital the main contents that comprised each medical records.,, these information are extracted from database for this reason, just can solve information integration problem for heterogeneous database as long as the research data that these basic activities produced are determined the required information of uploading.
Handshake interface can be chosen stateless Web Services or have state WebServices to realize.When the handshake interface that adopts stateless Web Services as heterogeneous database, can run into two problems: a problem is the time that the result returns to be difficult to estimate, because the working time that the program of base layer data storehouse server acquisition result needs and the running environment of this program have much relations, and will estimate more definitely that running environment is very difficult; Another problem is that the size of array as a result differs can be very big, also makes troubles to design.
Therefore need to adopt the Web Services that state is arranged.Globus Toolkit 4 is the software of Web Services of the state that provides of present comparative maturity.Native system utilizes the WSRF.NET of Globus Toolkit 4 to realize having the Web Services interface of state.WSRF.NET also provides Gridftp except the Web Services interface that state is arranged that meets the WSRF standard is provided.
At last, 15 pairs of data analysis set-ups have realized that the data of isomeric data after integrated analyze.In order to make the result who analyzes more clear, in the present invention, data analysis set-up 15 provides patterned data analysis.
With reference to shown in Figure 5, the present invention also provides a kind of composite factor configuration and analytical approach, comprises following step:
51. adopt working fluid architecture that first resource is configured based on Web Service;
52. the application data digging technology is configured second resource;
53. the Application Grid computing technique is configured information resources;
54. carry out integrated to the isomeric data in first resource, second resource and the information resources; And
55. the data after integrated are analyzed.
Adopt composite factor configuration of the present invention and analytical approach, can accomplish rapid reaction to the composite factor configuration, automatically compile, intellectual analysis, especially, defend in the application of diligent system in Army Hospital and army, requirements such as energy ensures and organizes and coordinates, scheduling controlling, with the rapid reaction is core, solve that human resources, medical material, fund allocation and transfer etc. are defended directly the reporting automatically of diligent resource, compiled automatically, decision support demands such as intellectual analysis, intelligent planning and intelligent allocation, lifting army defends diligent system and defends diligent resource management and control level.
Claims (10)
1. a composite factor disposes and analytic system, it is characterized in that, comprising:
First resource configuration system, wherein this first resource configuration system adopts the working fluid architecture based on Web Service;
Second resource configuration system, wherein this second resource configuration system application data digging technology;
Information resources configuration-system, wherein this information resources configuration-system Application Grid computing technique;
Heterogeneous data integrated system is connected to described first resource configuration system, second resource configuration system and information resources configuration-system, will carry out integrated from the isomeric data of above-mentioned resource configuration system;
Data analysis set-up is analyzed the data after integrated.
2. composite factor as claimed in claim 1 configuration and analytic system is characterized in that, it is core that described first resource configuration system has with the workflow technology, be the architecture of building blocks of function with the Web service, comprising:
Database layer, database layer is used for store data, comprises business datum, control data and related data;
Function service layer, function service layer is made up by Web service, and the form encapsulation issue with Web service provides various application services to the user, realizes logic of business functions;
Workflow layer, workflow layer are used for the definition of workflow, and the foundation of workflow example, management, coordination and control; And
Presentation layer, presentation layer are user interactions interface aspects, embody the business operation of system.
3. composite factor configuration as claimed in claim 2 and analytic system is characterized in that described first resource configuration system is used to dispose human resources.
4. composite factor configuration as claimed in claim 1 and analytic system is characterized in that described second resource configuration system carries out the processing of one of the following at least to second resource:
Resource uses prediction, resource to use budget, resource to use decision-making, resource to use control, resource to use form.
5. composite factor configuration as claimed in claim 1 and analytic system is characterized in that described second resource configuration system comprises:
Compatible system is carried out compatibility with the existing system that is used to manage second resource;
Data warehouse is used to store data;
Decision support system (DSS) provides decision-assisting analysis based on the data of being stored; And
Monitoring and statistical system are monitored and are added up the use of second resource.
6. as claim 4 or 5 described composite factor configuration and analytic systems, it is characterized in that described second resource configuration system is used to dispose financial resources.
7. composite factor configuration as claimed in claim 1 and analytic system is characterized in that described information resources configuration-system comprises:
Application layer, application layer realization user management, information resources are adopted confession, information resources monitoring, information resources management;
Information integration middleware, information integration middleware are used for integrated various isomeric data resource;
Clathrum, clathrum comprise the Globus tool software; And
Resource layer, resource layer comprise the data resource and the device resource of various isomeries.
8. composite factor configuration as claimed in claim 7 and analytic system is characterized in that described information resources configuration-system is used to dispose physical resources.
9. composite factor configuration as claimed in claim 1 and analytic system is characterized in that data analysis set-up provides patterned data analysis.
10. a composite factor disposes and analytical approach, it is characterized in that, comprising:
Employing is configured first resource based on the working fluid architecture of Web Service;
The application data digging technology is configured second resource;
The Application Grid computing technique is configured information resources;
Carry out integrated to the isomeric data in first resource, second resource and the information resources; And
Data after integrated are analyzed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008100371383A CN101576883A (en) | 2008-05-08 | 2008-05-08 | Compound resource allocation and analysis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2008100371383A CN101576883A (en) | 2008-05-08 | 2008-05-08 | Compound resource allocation and analysis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN101576883A true CN101576883A (en) | 2009-11-11 |
Family
ID=41271817
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA2008100371383A Pending CN101576883A (en) | 2008-05-08 | 2008-05-08 | Compound resource allocation and analysis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN101576883A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103714417A (en) * | 2013-12-12 | 2014-04-09 | 中国人民解放军第二军医大学 | Health service decision comprehensive integration system |
| CN106610871A (en) * | 2016-12-30 | 2017-05-03 | 郑州云海信息技术有限公司 | Cloud operating system architecture |
| WO2017088794A1 (en) * | 2015-11-27 | 2017-06-01 | Huawei Technologies Co., Ltd. | System and method for resource management |
| CN107358035A (en) * | 2017-06-28 | 2017-11-17 | 广东技术师范学院 | A kind of portable medical data digging system |
| CN107408148A (en) * | 2015-02-27 | 2017-11-28 | 皇家飞利浦有限公司 | Be used to help health care consultant and hospital administrators determine hospital optimal human resources planning the system and method based on simulation |
| CN108073901A (en) * | 2017-12-18 | 2018-05-25 | 武汉普利商用机器有限公司 | A kind of face alignment application integration method and system |
-
2008
- 2008-05-08 CN CNA2008100371383A patent/CN101576883A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103714417A (en) * | 2013-12-12 | 2014-04-09 | 中国人民解放军第二军医大学 | Health service decision comprehensive integration system |
| CN107408148A (en) * | 2015-02-27 | 2017-11-28 | 皇家飞利浦有限公司 | Be used to help health care consultant and hospital administrators determine hospital optimal human resources planning the system and method based on simulation |
| WO2017088794A1 (en) * | 2015-11-27 | 2017-06-01 | Huawei Technologies Co., Ltd. | System and method for resource management |
| US10452442B2 (en) | 2015-11-27 | 2019-10-22 | Huawei Technologies Co., Ltd. | System and method for resource management |
| US11467874B2 (en) | 2015-11-27 | 2022-10-11 | Huawei Cloud Computing Technologies Co., Ltd. | System and method for resource management |
| CN106610871A (en) * | 2016-12-30 | 2017-05-03 | 郑州云海信息技术有限公司 | Cloud operating system architecture |
| CN107358035A (en) * | 2017-06-28 | 2017-11-17 | 广东技术师范学院 | A kind of portable medical data digging system |
| CN108073901A (en) * | 2017-12-18 | 2018-05-25 | 武汉普利商用机器有限公司 | A kind of face alignment application integration method and system |
| CN108073901B (en) * | 2017-12-18 | 2020-10-27 | 武汉普利商用机器有限公司 | Face comparison application integration method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Hausberg et al. | Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis | |
| Stefanovic | Proactive supply chain performance management with predictive analytics | |
| Wang et al. | Beyond a technical perspective: understanding big data capabilities in health care | |
| Srinivasan et al. | Multi-agent based decision support system using data mining and case based reasoning | |
| CN101576883A (en) | Compound resource allocation and analysis system | |
| Parra et al. | Chronological evolution of the information-driven decision-making process (1950–2020) | |
| Skulimowski | A foresight support system to manage knowledge on information society evolution | |
| US10902370B1 (en) | Methods and systems for multidisciplinary research collaboration | |
| Azevedo et al. | The role of supply chain 4.0 on supply chain collaboration-an exploratory case study in the automotive industry | |
| Wolak-Tuzimek et al. | Effect of Integrated IT Systems on Enterprise Competitiveness at Time of “Industry 4.0” | |
| Bobek et al. | Intelligent agent based business intelligence | |
| Finogeev et al. | Application of hyper-convergent platform for big data in exploring regional innovation systems | |
| Lee | The combination of knowledge management and data mining with knowledge warehouse | |
| Stanek et al. | The knowledge components in DDMKCC model as the catalyst of a hybrid DSS–The IT company case study | |
| Stefanovic et al. | A review of advances in supply chain intelligence | |
| Silva et al. | A business intelligence approach to support decision making in service evolution management | |
| Rostek | Dedicated business intelligence system for SMEs consortium | |
| Górecki | INFORMATION TECHNOLOGY IN PROJECT MANAGEMENT. | |
| SOVA | TECHNOLOGICAL TOOLS OF BUSINESS INTELLIGENCE FOR EFFECTIVE MANAGEMENT OF THE ENTERPRISE | |
| Diab | The General Artificial Intellect | |
| Hrybkov et al. | Modeling of the decision support system structure in the planning and controlling of contracts implementation | |
| SANTOSH et al. | ANALYTIC HIERARCHY PROCESS-BASED EVALUATION APPROACH FOR DIGITAL TECHNOLOGY SERVICE MANAGEMENT | |
| Wiederhold | Value-added Middleware: Mediators | |
| Wanyaga et al. | Dark data: Business Analytical tools and Facilities for illuminating dark data | |
| Asaturova | Development of the Industrial Internet of Things in the Russian Economy |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Open date: 20091111 |