CN103699579B - Electric device aid decision intelligentization method based on knowledge base - Google Patents
Electric device aid decision intelligentization method based on knowledge base Download PDFInfo
- Publication number
- CN103699579B CN103699579B CN201310638802.0A CN201310638802A CN103699579B CN 103699579 B CN103699579 B CN 103699579B CN 201310638802 A CN201310638802 A CN 201310638802A CN 103699579 B CN103699579 B CN 103699579B
- Authority
- CN
- China
- Prior art keywords
- module
- aid decision
- power equipment
- knowledge base
- base
- 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.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
Abstract
The invention discloses an electric device aid decision intelligentization method based on a knowledge base. The electric device aid decision intelligentization method based on the knowledge base is characterized in that a connecting relation between modules is that an input model (1), a feature extracting module (2), a preliminary matching module (3), a uniqueness judging module (4), an optimum matching module (5), a judging module (6), an adding module (7) and a knowledge base module (8) are connected in sequence, and the uniqueness judging module (4), the optimum matching module (5), the judging module (6) and the adding module (7) are respectively connected with the knowledge base module (8). According to the electric device aid decision intelligentization method based on the knowledge base, disclosed by the invention, multiple types of electric transmission and transformation equipment data can be efficiently processed, effective features can be extracted from the data and can be intelligentized, the intelligentized data can be stored in the knowledge base in the knowledge base module, a query interface can be upwards provided, and the query interface is convenient for a software or a researcher to query needed aid decision information according to a query condition.
Description
Technical field
The present invention relates to Intelligentized method, in particular, relate to the power equipment aid decision Intelligentized method technical field in a kind of knowledge based storehouse.
Background technology
Electric power apparatus examination work is the important component part of production management's work, to improving power equipment health level, ensureing that equipment safe and reliable operation is significant.In conjunction with knowhow for many years and to large number quipments accident, the statistical analysis of defect rule, power system is set up and continues to use periodic inspection always and overhaul the maintenance model combined afterwards.Periodic inspection pattern has scientific basis and the reasonability of self, effectively reduces the burst accident of equipment in practice for many years, it is ensured that the good operation of equipment.But the shortcoming of this maintenance model is also apparent from.The maintenance model of clean cut formula, does not accounts for the actual state of equipment, there is the blindness phenomenon of " ask for great treatment only minor illness, anosis yet control ".
Along with electrical network scale developed rapidly in recent years, grid equipment quantity sharply increases, and periodic inspection workload increases severely, and maintainer's problem in short supply becomes increasingly conspicuous.Grid equipment workmanship is substantially improved in recent years, and integrated form, less maintenance equipment are used in a large number, and the overhaul of the equipments of customization, test period the most do not adapt to electric equipment diagnosis and management level in early days.Formulation is reasonable, science, effective power equipment decision method are to realize the most important step of its repair based on condition of component.
Based on above-mentioned situation, power equipment aid decision-making method is saved in knowledge base so that later stage inquiry, becomes a problem anxious to be resolved in this area.
Summary of the invention
Present invention aim to address the problem that prior art exists, it is provided that a kind of power equipment aid decision knowledge base the most easily, in order to software or scientific research personnel obtain power equipment aid decision data according to querying condition.
For realizing above technical purpose, the technical scheme is that
A kind of power equipment aid decision Intelligentized method in knowledge based storehouse, including with lower module:
Input module, for judging that the data source that user inputs is the data of which kind of power equipment, then according to the feature of input data, processes the characteristic extracting module that the data of input are distributed to affiliated power equipment further；
Characteristic extracting module, this module all has under every kind of power equipment, carries out feature extraction for the power equipment data obtaining input module, obtains to obtain its feature, and be sent to preliminary matches module；
Preliminary matches module, this module all has under every kind of power equipment, for the feature utilizing characteristic extracting module to extract, calculates characteristic attribute interval, and send into uniqueness determination module in knowledge base；
Uniqueness determination module, this module all has under every kind of power equipment, for the electric power apparatus examination aid decision case falling into characteristic attribute in preliminary matches module interval is carried out uniqueness judgement, it is determined that falling into the interval electric power apparatus examination aid decision case of characteristic attribute is to enter optimal matching module or base module；
Optimal matching module, this module all has under every kind of power equipment, for obtaining in the multiple electric power apparatus examination aid decision cases in knowledge base from preliminary matches module, it is chosen at the electric power apparatus examination aid decision case of characteristic attribute interval maximum in knowledge base, and sends into determination module；
Determination module, this module all has under every kind of power equipment, judges for the electric power apparatus examination aid decision case obtaining optimal matching module, it is determined that this electric power apparatus examination aid decision case row enter into base module and are also to increase module；
Increasing module, this module all has under every kind of power equipment, is sent to base module for this power equipment feature obtaining optimal matching module and input data thereof；
Base module, this module all has under every kind of power equipment, receives the data transmitted from uniqueness determination module, determination module and increase module respectively, preserves to knowledge base and upwards provides various query interface；
Annexation between each module is, input module, characteristic extracting module, preliminary matches module, uniqueness determination module, optimal matching module, determination module, increase module, base module sequentially connect；Wherein, uniqueness determination module, optimal matching module, determination module, increase module are connected with base module the most respectively；
The workflow of present system is as follows:
1) start, start overall system power；
null2) input module requires user input data、Data type and affiliated power equipment thereof，The feature of power equipment data is extracted by characteristic extracting module，Then utilized, by preliminary matches module, the feature that characteristic extracting module extracts，Characteristic attribute is calculated interval in knowledge base，It is re-fed in uniqueness determination module being made to determine whether as electric power apparatus examination aid decision case unique in knowledge base，If the unique case of electric power apparatus examination aid decision，Then give base module and be stored in knowledge base，Otherwise send into and optimal matching module utilizes characteristic attribute interval maximum selection rule electric power apparatus examination aid decision case，Then give determination module and determine whether active power overhaul of the equipments aid decision case，As for effective case，Then give the knowledge base in base module to preserve，Otherwise send into and increase module，Power equipment feature and input data thereof are sent into the knowledge base in base module preserve.
The method have the benefit that:
1) characteristic extracting module 2 uses Feature Extraction Technology targetedly, from power equipment extracting data data so that equipment is carried out aid decision；
2) optimal matching module 5 uses and is specifically designed for power equipment aid decision data and carries out best match algorithm, it is simple to process choosing of power equipment aid decision case targetedly；
3) increase module 7 and use data increase technology targetedly, power equipment feature and data are carried out increase and facilitates Users'Data Analysis；
4) knowledge base to multiple power equipment aid decision Intelligentized method is realized, it is achieved the management of power equipment aid decision data.
With specific embodiment, the present invention is further explained below in conjunction with the accompanying drawings.
Accompanying drawing explanation
Fig. 1 is the power equipment each module diagram of aid decision Intelligentized method in a kind of knowledge based of present invention storehouse；
Fig. 2 is the power equipment aid decision Intelligentized method flow chart in a kind of knowledge based of present invention storehouse.
Detailed description of the invention
A kind of power equipment aid decision Intelligentized method in knowledge based storehouse, the present invention includes with lower module:
Input module, for judging that the data source that user inputs is the data of which kind of power equipment, then according to the feature of input data, processes the characteristic extracting module that the data of input are distributed to affiliated power equipment further；
Characteristic extracting module, this module all has under every kind of power equipment, carries out feature extraction for the power equipment data obtaining input module, obtains to obtain its feature, and be sent to preliminary matches module；
Preliminary matches module, this module all has under every kind of power equipment, for the feature utilizing characteristic extracting module to extract, calculates characteristic attribute interval, and send into uniqueness determination module in knowledge base；
Uniqueness determination module, this module all has under every kind of power equipment, for the electric power apparatus examination aid decision case falling into characteristic attribute in preliminary matches module interval is carried out uniqueness judgement, it is determined that falling into the interval electric power apparatus examination aid decision case of characteristic attribute is to enter optimal matching module or base module；
Optimal matching module, this module all has under every kind of power equipment, for obtaining in the multiple electric power apparatus examination aid decision cases in knowledge base from preliminary matches module, it is chosen at the electric power apparatus examination aid decision case of characteristic attribute interval maximum in knowledge base, and sends into determination module；
Determination module, this module all has under every kind of power equipment, judges for the electric power apparatus examination aid decision case obtaining optimal matching module, it is determined that this electric power apparatus examination aid decision case row enter into base module and are also to increase module；
Increasing module, this module all has under every kind of power equipment, is sent to base module for this power equipment feature obtaining optimal matching module and input data thereof；
Base module, this module all has under every kind of power equipment, receives the data transmitted from uniqueness determination module, determination module and increase module respectively, preserves to knowledge base and upwards provides various query interface；
Annexation between each module is, input module 1, characteristic extracting module 2, preliminary matches module 3, uniqueness determination module 4, optimal matching module 5, determination module 6, increase module 7, base module 8 sequentially connect；Wherein, uniqueness determination module 4, optimal matching module 5, determination module 6, increase module 7 are connected with base module 8 the most respectively；
The workflow of present system is as follows:
1) start, start overall system power；
null2) input module 1 requires user input data、Data type and affiliated power equipment thereof，The feature of power equipment data is extracted by characteristic extracting module 2，Then utilized, by preliminary matches module 3, the feature that characteristic extracting module extracts，Characteristic attribute is calculated interval in knowledge base，It is re-fed in uniqueness determination module 4 being made to determine whether as electric power apparatus examination aid decision case unique in knowledge base，If the unique case of electric power apparatus examination aid decision，Then give base module 8 and be stored in knowledge base，Otherwise send into and optimal matching module 5 utilizes characteristic attribute interval maximum selection rule electric power apparatus examination aid decision case，Then give determination module 6 and determine whether active power overhaul of the equipments aid decision case，As for effective case，Then give the knowledge base in base module 8 to preserve，Otherwise send into and increase module 7，Power equipment feature and input data thereof are sent into the knowledge base in base module 8 preserve.
nullModules working condition is as follows: after software system behaves，Input module 1 waits the input of power equipment data at any time，Characteristic extracting module 2、Preliminary matches module 3、Uniqueness determination module 4、Optimal matching module 5、Determination module 6、Increase module 7、These eight modular concurrent of base module 8 run，When user is to system input power device data，This power equipment feature is extracted by input module 1 through characteristic extracting module 2，Preliminary matches module 3 utilizes the feature that characteristic extracting module is extracted，Characteristic attribute is calculated interval in knowledge base，Result is sent to uniqueness determination module 4 again judge，This module is responsible for determining whether in knowledge base unique electric power apparatus examination aid decision case，If the unique case of electric power apparatus examination aid decision，Then give the knowledge base in base module 8，Otherwise send into and optimal matching module 5 utilizes characteristic attribute interval maximum selection rule electric power apparatus examination aid decision case，Then give determination module 6 and determine whether active power overhaul of the equipments aid decision case，As for effective case，Then give the knowledge base in base module 8，Otherwise send into and increase module 7，Power equipment feature and input data thereof are sent into the knowledge base in base module 8.
Input module 1 in present system, characteristic extracting module 2, preliminary matches module 3, uniqueness determination module 4, optimal matching module 5, determination module 6, increase module 7, these eight modules of base module 8 all can use prior art module, it is possible to use the module of designed, designed.
Claims (1)
1. the power equipment aid decision Intelligentized method in knowledge based storehouse, is characterized in that: the device structure of use the method is: include,
Input module, for judging that the data source that user inputs is the data of which kind of power equipment, then according to the feature of input data, the characteristic extracting module that the data of input are distributed to affiliated power equipment processes；
Characteristic extracting module, this module all has under every kind of power equipment, carries out feature extraction for the power equipment data obtaining input module, obtains to obtain its feature, and be sent to preliminary matches module；
Preliminary matches module, this module all has under every kind of power equipment, for the feature utilizing characteristic extracting module to extract, calculates characteristic attribute interval, and send into uniqueness determination module in knowledge base；
Uniqueness determination module, this module all has under every kind of power equipment, for the electric power apparatus examination aid decision case falling into characteristic attribute in preliminary matches module interval is carried out uniqueness judgement, it is determined that falling into the interval electric power apparatus examination aid decision case of characteristic attribute is to enter optimal matching module or base module；
Optimal matching module, this module all has under every kind of power equipment, for obtaining in the multiple electric power apparatus examination aid decision cases in knowledge base from preliminary matches module, it is chosen at the electric power apparatus examination aid decision case of characteristic attribute interval maximum in knowledge base, and sends into determination module；
Determination module, this module all has under every kind of power equipment, judges for the electric power apparatus examination aid decision case obtaining optimal matching module, it is determined that this electric power apparatus examination aid decision case enters into base module and is also to increase module；
Increasing module, this module all has under every kind of power equipment, is sent to base module for this power equipment feature obtaining optimal matching module and input data thereof；
Base module, this module all has under every kind of power equipment, receives the data transmitted from uniqueness determination module, determination module and increase module respectively, preserves to knowledge base and upwards provides various query interface；
Annexation between each module is, input module, characteristic extracting module, preliminary matches module, uniqueness determination module, optimal matching module, determination module, increase module, base module sequentially connect；Wherein, uniqueness determination module, optimal matching module, determination module, increase module are connected with base module the most respectively；
The workflow of the method is as follows:
1. start, start overall system power；
null2. input module requires user input data、Data type and affiliated power equipment thereof，The feature of power equipment data is extracted by characteristic extracting module，Then utilized, by preliminary matches module, the feature that characteristic extracting module extracts，Characteristic attribute is calculated interval in knowledge base，It is re-fed in uniqueness determination module being made to determine whether as electric power apparatus examination aid decision case unique in knowledge base，If the unique case of electric power apparatus examination aid decision，Then give base module and be stored in knowledge base，Otherwise send into and optimal matching module utilizes characteristic attribute interval maximum selection rule electric power apparatus examination aid decision case，Then give determination module and determine whether active power overhaul of the equipments aid decision case，As for effective case，Then give the knowledge base in base module to preserve，Otherwise send into and increase module，Power equipment feature and input data thereof are sent into the knowledge base in base module preserve.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310638802.0A CN103699579B (en) | 2013-12-04 | 2013-12-04 | Electric device aid decision intelligentization method based on knowledge base |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310638802.0A CN103699579B (en) | 2013-12-04 | 2013-12-04 | Electric device aid decision intelligentization method based on knowledge base |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103699579A CN103699579A (en) | 2014-04-02 |
| CN103699579B true CN103699579B (en) | 2017-01-11 |
Family
ID=50361107
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310638802.0A Active CN103699579B (en) | 2013-12-04 | 2013-12-04 | Electric device aid decision intelligentization method based on knowledge base |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103699579B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106056462A (en) * | 2016-06-06 | 2016-10-26 | 中国船舶重工集团公司第七〇九研究所 | Marine oil and gas fracturing operation assistant decision-making system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1435781A (en) * | 2003-02-24 | 2003-08-13 | 杨炳儒 | Intelligent decision supporting configuration method based on information excavation |
| CN102663537A (en) * | 2012-03-13 | 2012-09-12 | 凯里供电局 | Maintenance system of power equipment based on risk assessment |
| CN102760501A (en) * | 2012-07-02 | 2012-10-31 | 华北电力大学 | Method and system for troubleshooting of equipment in nuclear power plant |
-
2013
- 2013-12-04 CN CN201310638802.0A patent/CN103699579B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1435781A (en) * | 2003-02-24 | 2003-08-13 | 杨炳儒 | Intelligent decision supporting configuration method based on information excavation |
| CN102663537A (en) * | 2012-03-13 | 2012-09-12 | 凯里供电局 | Maintenance system of power equipment based on risk assessment |
| CN102760501A (en) * | 2012-07-02 | 2012-10-31 | 华北电力大学 | Method and system for troubleshooting of equipment in nuclear power plant |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103699579A (en) | 2014-04-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2983048A3 (en) | Wind power plant management system and method thereof | |
| CN104569688A (en) | Automatic testing system and method for power distribution terminal | |
| CN104298525B (en) | The automation that multicompartment software is disposed under the conditions of Complex Constraints and adaptive approach and its deployment management system | |
| WO2016188503A3 (en) | Implementation method suitable for electromagnetic transient multi-time scale real-time simulation interface | |
| CN103984795A (en) | IEC (international electro-technical commission) 61850-based on-line partial discharge monitoring equipment communication simulation method | |
| CN105301450A (en) | Distribution network fault automatic diagnosis method and system | |
| CN105631598A (en) | Electrical equipment defect analysis method based on cluster defects | |
| CN105718641A (en) | Method for establishing CAE two-dimensional grids in batches | |
| CN103699579B (en) | Electric device aid decision intelligentization method based on knowledge base | |
| CN105445591A (en) | Converter fault diagnosis method and converter fault diagnosis device | |
| CN201878155U (en) | Device for acquiring signals and monitoring data and ground satellite comprehensive test system with same | |
| CN106598793B (en) | Test system and test method based on BIOS serial port log data | |
| CN102967839A (en) | Detection method and device for online monitoring communication system of transformer substation | |
| CN106909615B (en) | Method and device for verifying data information consistency between master station and substation | |
| CN105868065A (en) | Method for testing hot plugging parts of whole SmartRack | |
| CN110866839A (en) | Underground cable fault repairing method and device based on multiple models | |
| CN102332048A (en) | Method for automatically parallelly restoring retention time exception through single nodes in process of designing integrated circuit | |
| CN105224736B (en) | A kind of smart electric grid system robustness verification method based on constraint solving | |
| CN105591827A (en) | Method of generating WIA-PA (Wireless networks for Industrial Automation-Process Automation) protocol test set based on equipment life cycle Petri net | |
| JP5347335B2 (en) | Control program, control device, and control method | |
| CN103678539A (en) | Maintenance strategy evaluation database system for electric transmission and transformation equipment | |
| CN107578170A (en) | A kind of fire-fighting system safety evaluation method based on data characteristics selection | |
| CN102609384A (en) | Interface integrated device | |
| KR101744285B1 (en) | Performance simulation system and system of parallel operation | |
| CN106021187A (en) | Data fitting method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |