CN105278373A - Method for realizing comprehensive information processing system of transformer substation - Google Patents
Method for realizing comprehensive information processing system of transformer substation Download PDFInfo
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Abstract
The invention provides a method for realizing a comprehensive information processing system of a transformer substation, which comprises the following steps: A. data acquisition and acquisition storage, wherein the acquisition adapter is used for carrying out real-time acquisition, timing acquisition, trigger acquisition and manual acquisition; B. data integration, namely integrating data with different sources, formats and qualities into a unified data environment through a logical or physical method; C. modeling data; establishing generalized measurement; the association relation is directly established between part of generalized measurement and primary equipment, and the panoramic model is established by associating part of the measurement with the primary equipment through secondary equipment; D. and the data service supports the upper application to open data access in a WebService, API interface or COM interface mode. The comprehensive information processing system of the transformer substation, which is realized by the invention, provides data support service for monitoring, diagnosis, operation and collaborative work application functions of maintenance personnel, and constructs a bottom infrastructure of the information application system of the transformer substation.
Description
Technical field
The invention belongs to the research field that computer technology is intersected with power specialty, particularly relate to the implementation method for a kind of transformer station Integrated Information Processing System patrolling dimension vocational work feature.
Background technology
South electric network continues to have carried out further investigation and pilot application to transformer station's O&M technology, wherein transformer substation control cabin focuses on information integration and business cooperation, transformer substation control cabin is the integrated technique platform of substation operation and maintenance, with " system is simplified, information norm, unify menu, business cooperation " for technical characteristics, for operation of power networks control, equipment operation monitoring and transformer station's maintenance management provide one-stop support.Improve for advancing Southern Power Grid Company and patrol dimension efficiency, improve equipment Management Level, on the Research foundation of transformer substation control cabin, development & construction transformer substation control cabin integration information platform, serve different levels user, support to patrol fibrillar center and have under its command that the Asset State that substation equipment is object is assessed, venture analysis and the work of O&M efficiency optimization.
Based on driving cabin technology, by to the driving cabin technology of transformer station and the integration of data, each service data information is represented based on geography information, primary connection figure, video monitoring, visual fusion, get information about and have transformer station and the comprehensive information associating transmission line of electricity under its command, monitor in real time having transformer station's key equipment state under its command, carry out multi-disciplinary business cooperation, improve O&M efficiency, reduce the labour intensity of operation maintenance personnel.
At present, patrol fibrillar center and lack the support of informationization integration platform, each system is relatively independent, be in information island state, lack collaborative, teams and groups personnel are difficult to adapt to and the information correctly using each system to provide and service, cause each infosystem not only not improve O&M efficiency, also add the workload of operation maintenance personnel, improve O&M cost.Plan as a whole the transformer substation control cabin of each infosystem in the urgent need to research and development, integrated multidimensional information, promote business cooperation, integrated service is provided, reach raising and patrol dimension efficiency, improve life period of an equipment income, support the management of south electric network power transformation operation lean and O&M.
Summary of the invention
For the shortcoming of prior art, the object of this invention is to provide the implementation method of a kind of transformer station Integrated Information Processing System, it can solve above-mentioned information island, data integration and the O&M such as service, business cooperation problem.
To achieve these goals, the invention provides the implementation method of a kind of transformer station Integrated Information Processing System, it comprises the steps:
A, data acquisition and collection store, and carry out Real-time Collection, timing acquiring, triggering collection, collected by hand by collection adapter, described collection adapter comprises database adapter, data file adapter, interface adapter; Gather in storing, employing real-time data base, relational database, unstructured data storehouse store Information Monitoring;
B, data integration, focus on the data of separate sources, form and quality in unified data environment by the method for logical OR physics, realizes the overall sharing of Enterprise Data and information;
C, data modeling, on power industry related specifications basis, merge the data associating and gather, expand and measure, and sets up broad sense and measure; Relation that part broad sense measures and primary equipment is directly associated, part is measured and is associated with primary equipment by secondary device, sets up the data model (panorama model) of overall equipment oriented object;
D, data, services, by WebService, api interface or com interface mode, to the support of the open data access of upper layer application.
What present invention achieves eight large classes main substation operation maintenance informations such as operation of power networks, fault and protection act, operating analysis, equipment condition monitoring, the quality of power supply, video, environment, task managements is integrated; the modeling of data, Acquire and process, storage is carried out according to the technical manual of transformer substation control cabin; ensure the integrality of basic data, accuracy and consistance, the data access service of unified standard is provided.
According to another embodiment of the present invention, data integration comprises data processing, integrated storage; Data processing is when the data layout of data center is different from other system format, or system model is different, carries out conversion process, to meet the requirement of data center to data to data.
According to another embodiment of the present invention, the mode of integrated storage comprises:
Data are federal, the data source of different distributions is integrated, produces virtual data source or data, services;
Data store, from each data source extract raw data, process according to specified rule, and finally Data import in target database;
Hybrid mode, by data, federal and data storages integrates use, by each data source core, frequent use, correlative data pick-up is in goal systems.
According to another embodiment of the present invention, data integration support is with the integration trigger strategy of under type:
Cycle is integrated: support that by minute, hour, day be the data integration in cycle;
File triggers: support to trigger integrated by the mode of specified file;
Clocked flip: support that fixed point triggers integrated;
Message trigger: support that JMS message mode triggers integrated.
According to another embodiment of the present invention, the data in panorama model, the difference according to data value version is divided into three types: model static attribute, real-time data collection, history and statistics; Wherein history and statistics comprise historical data and statistics, and historical data comprises the historical data of statistical and the history Backup Data of measuring point.
According to another embodiment of the present invention, model static attribute obtains when modeling; Real-time data collection is not preserved in panorama model; Statistics uses the ETL instrument cycle to obtain, and is stored in panorama model; The historical data of statistical uses and is stored in panorama model; The history Backup Data of measuring point is not preserved in panorama model.
According to another embodiment of the present invention, for model static attribute, adopt the mode of physics, namely use the mode of data pick-up, build physically unified data access view;
For real time data, adopt the mode of logic, namely use data access view unified on the mode construction logic of data aggregate;
For history and statistics, adopt the mode of logic or the mode of physics.
According to another embodiment of the present invention, in step C, measured the unified modeling method of horizontal interrelational form by broad sense, with reference to relevant criterion on CIM basis, expand the model UCIM that definition is unified; UCIM on CIM basis mainly to secondary device, definite value, expand towards the broad sense measurement model of eight large category informations, operation associated description part.
According to another embodiment of the present invention, after the unification completing model and coding mapping, carry out model checking; Model checking comprises syntax rule verification, the desk checking of network model School Affairs.
According to another embodiment of the present invention, the forming types based on data cloud is used to complete building of platform; Wherein, at data access layer, system completes the collection of Various types of data by the support of multiclass adapter, is completed the storage of whole platform unified model data by unstructured data storehouse; In application layer, supported operation and the deployment of easily extensible application by manageable service framework; Then employ unified cloud data display framework representing layer.
Patrol the relevant data of dimension business from regional dispatching system, safe production management system, condition monitoring system, protection information system, power quality system and video main station system six Iarge-scale system, the data type of the acquisition of each system mainly comprises following eight class data.The present invention is directed to the application scenarios of data and business, propose the mode that data store.The database technology related to comprises: real-time data base, relational database, unstructured data storehouse 3 class, and table 1 illustrates the concrete collection content of eight large class data, and ties up according to patrolling the differentiation design that characteristics of demand carries out data storage.
Table 1 image data type and storage mode
Data acquisition adopts following several mode: 1) Real-time Collection.When needing data, carried out the mode of data acquisition by interface interchange or the direct accesses external data sources of other modes; 2) timing acquiring.By arrange system timer mode batch the data of equipment are obtained and are processed, batch data obtain have all with increment two kinds of modes.Whole mode obtains selected device and to put into operation all state quantity data of current time; Incremental mode then only obtains put later state quantity data last data age; 3) triggering collection.Triggering collection mode sends data variation message to native system by data providing source, and after native system receives message, the data only obtaining this change process; 4) collected by hand.On interface, manual calling carries out data acquisition and refreshing as required.
By solving the business datum source needs of problems of transformer substation control cabin with upper type, carry out data integration on this basis.Data integration mode is the basis of full-view modeling, is the data of separate sources, form and quality are focused in unified data environment by the method for logical OR physics, realizes the overall sharing of Enterprise Data and information.The integrated storage support of data is with under type:
A) data are federal
Data federation integrates the data source of different distributions, produces the process of virtual data source or data, services.Data after integration can be counted as a data mapping, provide unified access method (comprising JDBC, ODBC, NFS, SOAP).Distributed isomeric data is integrated in a Virtual table by it, and user or application program can carry out true-time operation by this Virtual table to data.
Such as, the historical data of the integrated traditional WAMS system of integration information platform, then can adopt the mode of data federation, according to request of data true-time operation and the historical data base of accessing traditional WAMS system.
B) data store
Data storage be from each data source extract raw data, carry out processing (comprising type conversion, data merging etc.) according to specified rule, and finally Data import in target database.The method passes through data Replica, data are changed and the continued operation of data loading, by the data pick-up of separate sources, different-format in unified database, gather loading further to relevant database or multi-dimensional database again, what meet different themes with this represents application.
Such as, integration information platform integrated electric pessimistic concurrency control, application model, then the mode that data can be adopted to store, realizes the physical store of data at integration information platform.
C) hybrid mode
This mode is that data are federal and data storages integrates use, by each data source core, frequent use, correlative data pick-up is in goal systems.The historical data etc. that remaining such as refreshing frequency is high, requirement of real-time is high, memory capacity is large is accessed by the mode of index, and to the reorganization of separate data, data providing needs the tissue carrying out data according to interface requirement, and is supplied to caller.
Such as, the data of the integrated WAMS system of data center, then can adopt data storage method, adopt the mode of data federation to carry out integrated to historical data model data.
Data integration will support the integration trigger strategy with under type:
A) cycle is integrated: support that by minute, hour, day be the data integration in cycle
B) file triggers: support to trigger integrated by the mode of specified file
C) clocked flip: support that fixed point triggers integrated, as whole in 8 a.m. every day.
D) message trigger: support that JMS message mode triggers integrated.
Data in panorama model, the difference according to data value version is divided into three types: model static attribute, real-time data collection, history and statistics, and all types of data acquisition principle is as follows:
A) model static attribute: obtain when modeling.
B) real-time data collection (i.e. process data): do not preserve in panorama model, as the real time data etc. of EMS measuring point;
C) statistics: use the ETL instrument cycle to obtain, be stored in panorama model;
D) historical data:
1) historical data of statistical: suggestion use is stored in panorama model;
2) the history Backup Data of measuring point: suggestion is not preserved in panorama model.
Integration information platform is logically a unified control data corporation, and actual storage can be the distributed storage platform of an isomery, is realized the bonding of the different piece of same target in different storage entity by metadata and global object ID management.Concrete storage mode comprises the modes such as real-time data base, relational database, sequential history library, file.
For static attribute can usage data extract mode, build physically unified data access view; To real time data, can unified data access view on the mode construction logic of usage data associating; To history and the mode of the optional logic of statistics or the mode of physics.Final realization to each application transparent, shadow data source and unified data center's view of data storage method.
On the basis of electric power monitoring system and south electric network Specification, these information are merged, associated, by expanding measurement system, set up broad sense to measure, broad sense measures and directly can be associated relation with primary equipment, also associates with primary equipment by secondary device, set up the data model of overall equipment oriented object, abundant integration, induction data, clean and specification data, for each senior application provides unified model and data supporting.
CIM common information model provides a kind of standardized method, and power system resource (PowerSystemResource) is described as object class, attribute and the relation between them.In CIM, the type of real world entities is defined as " class ", and the character of entity type is defined as " attribute of class ", and the relationship description between entity type is " relation between class ", comprising: the relations such as succession, association, polymerization.CIM, as the describing mode of data, is the basis using CIS interface, must knows that the class name of target data, attribute, associated name and inheritance correctly could have access to data.
Based on IEC-61970 specification, the access data for transformer substation control cabin is expanded, and proposes based on IEC-61970 expansion technique, is measured the unified modeling method of horizontal interrelational form by broad sense.With reference to southern net relevant criterion on CIM basis, expand the model UCIM that definition is unified.UCIM on CIM basis mainly to secondary device, definite value, partly expand towards the broad sense measurement model, operation associated description etc. of eight large category informations.After the unification completing model and coding mapping, carry out model checking, verification comprises syntax rule verification, the desk checking of network model School Affairs.
Integration information platform needs to carry out information interaction with each main station system, adopts data bus technology, realizes intelligence and supports the data acquisition of integrated information platform and the intersystem interface of specification.There is provided the mutual of figure, model, real time data and other data splittings, its realization rate is by data retrieval, data query, service data adaptation and Unified coding.
In the present invention, the forming types based on data cloud is used to complete building of platform; Wherein, at data access layer, system completes the collection of Various types of data by the support of multiclass adapter, the storage of whole platform unified model data is completed by unstructured data storehouse, in application layer, supported operation and the deployment of easily extensible application by manageable service framework, then employ unified cloud data display framework representing layer, this display frame shields the otherness of terminal device, achieves display resource consistent Consumer's Experience on different devices; Fundamentally solve the mutability of business logic modules, opening, deployment administer and maintain problem, be mainly manifested in that data resource is open, function is open and several aspect such as application extensibility.
By based on the data management of model, the application requirement of different application to model is met by flexibly customized model structure, obtain interface by open model data and carry out the access of implementation model different pieces of information source, the adaptor interface that system is built-in to each class standard main website stipulations, existing all kinds of main station system accepted standard model is provided and supports completely, for the data access requirement not following standard interface, corresponding customized development can be completed by third party according to couple in adapter specification.
The opening of Integrated Information Processing System is also embodied in the interface opening of data resource platform to upper layer application, this platform upwards provides one group of Core API interface, carry out for application, the model structure that application can be provided with OO mode access platform by this interface and model data, this interface shields the difference of model data and historical data, and user can conduct interviews to model attributes data as required.The service that theres is provided uses the model of standard and data layout to carry out information interaction, and carries out unified management by platform to the coding specification of these information, and this design ensure that the consistance be applied in based on open platform on data standard and access interface.
The open module of function of Integrated Information Processing System comprises user management, log management, Service Management etc., and these services are by the external Service supportive of OSGi open architecture, and each application module can carry out funcall to these modules as required.The opening of applying to be carried out in service logic aspect; also to open in front-end interface displaying aspect; based under the Front-end Design system of cloud mode; data display is shown in cross-platform mode completely; the method well solves client difference, mobile device presents, and this technology is the basis realizing the functions such as Analysis on Relay Protection, evaluation and propelling movement.
The present invention realize transformer station's Integrated Information Processing System for patrol dimension personnel supervisions, diagnosis, operation, work in coordination with class job applications function provide data supporting service, construct the underlying basis framework of substation information class application system.Dimension business characteristic is patrolled by analyzing, in conjunction with power industry technology and IT technology, service application relevant information is standardized, realize the collection of eight category information data, modeling, integrated, and data, services is provided and provides extendible open platform, for the senior application of transformer substation control cabin technology provides strong support for complex data analysis and excavation.
Accompanying drawing explanation
Fig. 1 be transformer station's Integrated Information Processing System of embodiment 1 realize framework;
Fig. 2 is in embodiment 1, real-time database storage domain group and modes relationships;
Fig. 3 is in embodiment 1, rdal-time DBMS longitudinal tissue structural drawing;
Fig. 4 is in embodiment 1, electrical network model maintenance flow process of unified Modeling;
Fig. 5 is in embodiment 1, the database HASH list structure figure that data store;
Fig. 6 is in embodiment 1, database circular linked list design diagram;
Fig. 7 is in embodiment 1, the expansion framework of open applications.
Embodiment
Embodiment 1
What Figure 1 shows that transformer station's Integrated Information Processing System of the present embodiment realizes framework.
In the present embodiment, the collection of each data is implemented as follows:
1, grid measurement data
Grid measurement data derives from dispatch automated system, general data comprises alternately: the data obtained from dispatch automated system comprise the information such as operation of power networks real-time information, electrical network artwork, for carrying out the utility function such as fault analysis based on operation of power networks data at driving cabin.
Interface mode adopts FTP obtain manner.
2, task management data
Task management is data from safe production management system, and general data comprises alternately:
1) transformer substation control cabin obtains equipment account information, equipment deficiency information, patrols the data such as dimension task, work ticket from safe production management system interface.
2) transformer substation control cabin patrols dimension task dispatching relevant information to safe production management system backfill.
Interface mode adopts FTP mode and pictorial representation.
3, equipment condition monitoring data
Equipment condition monitoring is data from condition monitoring system.Data interaction comprises: the process data and the result data access that obtain monitoring of equipment from condition monitoring system, store as the basic data of patrolling dimension business, analyze, realize the senior application of patrolling dimension business.
Main access data comprises:
1) each station monitoring device information (monitoring of transformer monitoring, isolating switch, lightning arrester monitoring, capacitive apparatus monitoring), Monitoring Data information, monitoring warning information;
2) professional system information is accessed as high voltage device of transformer station oil dissolved gas on-line monitoring system, transformer neutral point DC current monitoring system data;
3) evaluation result of access state monitoring.
Interface mode adopts stipulations, company information bus and WebService mode.
4, power quality data
Power quality data derives from power quality system, and the access of transformer substation control cabin systematic unity information platform and the data gathered comprise the information such as quality of power supply first-harmonic data, evaluation result;
Interface mode adopts stipulations, company information bus and WebService mode.
5, fault data is protected
Protection fault data derives from protection and failure information system, and its main interaction content comprises: from protecting the journal of failure information system access events, the data of protective device and fault recorder data and file etc.
The mode that interface mode adopts FTP and WebService to combine.
6, operating analysis data
Operating analysis is data from failure information system and dispatching system, and it mainly comprises: fault analysis, Trouble Report and comprehensive warning information.
Interface mode adopts WebService mode.
7, video data
Video data derives from transformer substation video main station system, its interaction content comprises: the data accessing from video main station system and gather comprise the information such as video flowing, video-unit control of each transformer station, obtain video information according to designated device, and this video-unit can be controlled patrolling fibrillar center.
Interface mode adopts WebService mode.
8, environmental monitoring data
Environmental monitoring data is mainly derived from environmental monitoring system, mainly comprises the environmental informations such as the temperature in station, humidity, sharp, SF6 gas concentration.
Interface mode adopts WebService mode.
The real-time data base great majority of current electric grid dispatch automated system adopt single database structure, and a rdal-time DBMS manages a real-time database, and multiple real-time data base needs multiple rdal-time DBMS.Between real-time database, data communication needs to operate two databases simultaneously, more loaded down with trivial details, and consuming time.
We adopt a rdal-time DBMS can manage multiple real-time database, are similar to commercial storehouse, as created multiple database in sqlsever.But restricted to the number of the real-time database that can create, this restriction can be arranged by configuring.Data communication between real-time database can complete in rdal-time DBMS inside, and interface is simple.Contribute to many cover adjusting systems like this and share same set of support platform, and data communication can be carried out easily by rdal-time DBMS between different system.
Can exist in certain node for the table of each in real-time database and also can not exist, this is determined by configuration information.Whether if to exist at any one node for each in a real-time database table be all configured, the information so configured is just very many, very loaded down with trivial details, and easily makes mistakes.In the design process, we notice, the node in system generally has its fixing function, and for a fixing function, its all real-time tables that will access are fixing substantially, therefore the table in real-time database can be classified in a certain way, and we are referred to as table collection.The number of the table collection of rdal-time DBMS support can be arranged by configuration information.The distributed frame of rdal-time DBMS is configured on table collection, and certain node in system can comprise certain several table collection, and also can not comprise some table collection, these can according to the configuration of the flexible function of this node.A node contains a table collection, then this node contains all tables that this table is concentrated.We divide into four table collection all tables at present: SCADA shows collection, figure table collection, senior application table collection, integrated automation of transformation stations table collection.
The structure of real-time table is substantially the same with the list structure in relational database, is territory below table, and a table can comprise multiple territory, and territory has the attribute such as title and type.In a relation table, the title in territory can not be identical, if the title in territory is identical, then system cannot locate a territory.Territory also has the restriction relation such as major key and external key in addition.For the data model of automation system for the power network dispatching, this structure is not well positioned to meet the data model of dispatch automated system.Concerning the table of automation system for the power network dispatching, the situation that existence domain name is identical.For the operational mode that the territory representative system that these domain names are identical is different, wherein each territory represents a kind of operational mode.Such as the electric current of a switch, there is the current value of actual acquisition, have the current value of state estimation, by the current value of Load flow calculation, there is the current value of research state, under real-time display mode, get the current value of actual acquisition, under Load flow calculation pattern, get the current value of Load flow calculation.A territory group layer is added between table and territory.A table has one or more territories group to form, and a territory group has one or more territory to form.At data model in logic, territory group is classified by pattern, a pattern can comprise one or more territories group.The title belonging to the territory in all territories group of same pattern can not be identical, but the title belonging to the territory in the territory group of different mode can be identical.Such system, when pattern switches, only needs to switch in the group of territory, only needs to reorientate the territory that domain name under different mode is identical.Fig. 2 illustrates, an example of relation between territory group and pattern.Table A comprises 6 territory groups, group 1 to territory, territory group 6.Territory group 1 and territory group 3 belong to pattern 1, and territory group 2 and territory group 5 belong to pattern 2, and territory group 4 and territory group 6 belong to mode 3.Territory group 1 can not be identical with the title in all territories in territory group 3, but territory group 1 can be identical with the title in the territory in territory group 5 with territory group 2 with the title in the territory in territory group 3, because they belong to different patterns.
All data in real-time data base all leave in internal memory, very large to the demand of internal memory, must save internal memory when therefore can save internal memory.Based on this viewpoint above, system supports subdomain.Subdomain is exactly that the information needing several territory to represent is deposited in one domain.Application programs, both can access this territory integrated, and also can access each subdomain of this inside, territory.In electric power scheduling automatization system, have a lot of mark, this mark only has 0 and 1 two states.If such mark has 8 in a table, if each mark territory represents, just need 8 territories, the minimum length of the data type in territory is 1 byte, therefore minimum needs 8 bytes.Mark only has 0 and 1 two states, just can represent, therefore can define the territory of 1 byte length with a bit position, and each the bit position in this territory byte is defined as a subdomain, represents a mark.So just only need definition territory, the space of a byte just can store 8 marks above, and compared with the first situation, every bar record just saves 7 bytes.This situation accumulates above, and the memory headroom of saving is very large (as shown in table 2).To sum up, longitudinal tissue's structure of rdal-time DBMS as shown in Figure 3.
Table 2 database contrasts
After the maintenance of EMS system electric network model terminates; in-time generatin CIM; adopt the mode such as FTP by CIM document backup to the Maintenance Point of intelligent protection trouble analysis system; the model maintenance program of platform is after receiving EMS model change message; the electrical network model of the CIM/XML form that synchronized update EMS issues, generates the Maintenance Model of an electrical network model.The maintenance process of an electrical network model as shown in Figure 4.
After completing service modeling, provide data, services by HASH table quick-searching and location.By the mode that HASH table quick-searching and location are the topmost retrieval of this rdal-time DBMS and position the record.
Rdal-time DBMS is automatically for HASH table set up in the key word of all real-time tables.Because rdal-time DBMS is realized by shared drive, therefore HASH table also must be based upon among shared drive.In shared drive, set up HASH table and set up HASH in the privately owned internal memory of application program and show very large difference.In the privately owned internal memory of application program, set up HASH table, the internal memory that HASH shows to occupy can arbitrarily increase, and when increasing a HASH node, as long as distribute a node space with new, then it is inserted in HASH table.But set up HASH table in shared drive, when increasing a HASH node, can not use new to distribute a node space, the memory headroom being used for storing HASH table information distributes, and size is fixed.
Because the HASH table in real-time data base is set up in shared drive, the memory headroom shared by HASH table is allocated in advance, so total nodes that HASH shows to comprise is fixing.The HASH value that the value of key word obtains after HASH calculates inevitably there will be conflict, and the space of the node of conflict does not obtain by dynamic assigning memory, and therefore managing conflict is the key realizing HASH table in shared drive.Solution is that all nodes in HASH table are divided into two classes, and a class is fundamental node, and a class is conflicting nodes.Key word is not conflicted after being calculated by HASH, is placed in fundamental node, if there is conflict, is placed in conflicting nodes.It is that the dominant record number of real-time table is multiplied by a coefficient a that fundamental segment is counted, and coefficient a can configure, and coefficient a represents the possibility of conflict, and the possibility of the larger conflict of a is less, but the memory headroom taken is larger.Conflicting nodes number can be set to the dominant record number of real-time table.If conflicting nodes number is less than the dominant record number of real-time table, when appearance table reached that dominant record number and all records all conflict extreme, conflicting nodes space can not hold all nodes, and HASH table just there will be mistake, and this table just can not normally conduct interviews.HASH list structure in shared drive as shown in Figure 5.
Another kind of mode is by setting up the service of circular linked list quick position, often there is such demand in the application, searches for all records that certain property value is equal.All records are obtained by condition query in relational database.Condition query is an operation more consuming time, concerning real-time data base, often can not meet the requirement of system to performance.
Similar with the scheme solving external key to the solution of this problem.During to all records that the value often needing to search for certain territory is equal, can prepare an endless-chain list area, endless-chain list area forms multiple circular linked list all records equal for thresholding by call number.Can find by endless-chain list area all records that this thresholding is equal successively, avoiding problems conditional search, improve the performance of real-time data base.Fig. 6 is the schematic diagram of circular linked list.
Open expansion provides as application extensibility provides technical support, and open applications platform provides the application plug-in specification of standard on this basis, to be expanded system by user or other third party.Lower Fig. 7 shows the framework of open application.Constrain the operable data of App and public service, and application presents specification, user or third party, by common data platform, the calling of public service, complete the structure of App module according to the logic of application self; In application build process, build specification and automatically provide the features such as distributed deployment, active-standby switch, serializing for application, apply and only need can possess these features by simply arranging, this mode strengthens efficiency and the quality of application and development greatly.
Be more than the exemplary description done the present invention, all simple deformation of making when not departing from core of the present invention or amendment all fall into protection scope of the present invention.
Claims (10)
1. an implementation method for transformer station's Integrated Information Processing System, is characterized in that, comprises the steps:
A, data acquisition and collection store, and carry out Real-time Collection, timing acquiring, triggering collection, collected by hand by collection adapter, described collection adapter comprises database adapter, data file adapter, interface adapter; Gather in storing, employing real-time data base, relational database, unstructured data storehouse store Information Monitoring;
B, data integration, focus on the data of separate sources, form and quality in unified data environment by the method for logical OR physics, realizes the overall sharing of Enterprise Data and information;
C, data modeling, on power industry related specifications basis, merge the data associating and gather, expand and measure, and sets up broad sense and measure; Relation that part broad sense measures and primary equipment is directly associated, part is measured and is associated with primary equipment by secondary device, sets up panorama model;
D, data, services, by WebService, api interface or com interface mode, to the support of the open data access of upper layer application.
2. implementation method according to claim 1, is characterized in that, data integration comprises data processing, integrated storage; Data processing is when the data layout of data center is different from other system format, or system model is different, carries out conversion process, to meet the requirement of data center to data to data.
3. implementation method according to claim 2, is characterized in that, the mode of described integrated storage comprises:
Data are federal, the data source of different distributions is integrated, produces virtual data source or data, services;
Data store, from each data source extract raw data, process according to specified rule, and finally Data import in target database;
Hybrid mode, by data, federal and data storages integrates use, by each data source core, frequent use, correlative data pick-up is in goal systems.
4. implementation method according to claim 1, is characterized in that, data integration support is with the integration trigger strategy of under type:
Cycle is integrated: support that by minute, hour, day be the data integration in cycle;
File triggers: support to trigger integrated by the mode of specified file;
Clocked flip: support that fixed point triggers integrated;
Message trigger: support that JMS message mode triggers integrated.
5. implementation method according to claim 1, is characterized in that, the data in panorama model, and the difference according to data value version is divided into three types: model static attribute, real-time data collection, history and statistics; Wherein history and statistics comprise historical data and statistics, and historical data comprises the historical data of statistical and the history Backup Data of measuring point.
6. implementation method according to claim 5, is characterized in that,
Model static attribute obtains when modeling;
Real-time data collection is not preserved in panorama model;
Statistics uses the ETL instrument cycle to obtain, and is stored in panorama model;
The historical data of statistical uses and is stored in panorama model;
The history Backup Data of measuring point is not preserved in panorama model.
7. implementation method according to claim 5, is characterized in that,
For model static attribute, adopt the mode of physics, namely use the mode of data pick-up, build physically unified data access view;
For real time data, adopt the mode of logic, namely use data access view unified on the mode construction logic of data aggregate;
For history and statistics, adopt the mode of logic or the mode of physics.
8. implementation method according to claim 1, is characterized in that, in step C, is measured the unified modeling method of horizontal interrelational form by broad sense, with reference to relevant criterion on CIM basis, expands the model UCIM that definition is unified; UCIM on CIM basis mainly to secondary device, definite value, expand towards the broad sense measurement model of eight large category informations, operation associated description part.
9. implementation method according to claim 8, is characterized in that, after the unification completing model and coding mapping, carries out model checking; Model checking comprises syntax rule verification, the desk checking of network model School Affairs.
10. according to the implementation method one of claim 1-9 Suo Shu, it is characterized in that, use the forming types based on data cloud to complete building of platform; Wherein, at data access layer, system completes the collection of Various types of data by the support of multiclass adapter, is completed the storage of whole platform unified model data by unstructured data storehouse; In application layer, supported operation and the deployment of easily extensible application by manageable service framework; Then employ unified cloud data display framework representing layer.
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Application publication date: 20160127 |