CN103049661B - GIS remaining life appraisal procedure and system - Google Patents
GIS remaining life appraisal procedure and system Download PDFInfo
- Publication number
- CN103049661B CN103049661B CN201210567166.2A CN201210567166A CN103049661B CN 103049661 B CN103049661 B CN 103049661B CN 201210567166 A CN201210567166 A CN 201210567166A CN 103049661 B CN103049661 B CN 103049661B
- Authority
- CN
- China
- Prior art keywords
- information
- gis
- data vector
- remaining life
- acquisition
- 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
Abstract
The invention provides a kind of GIS remaining life appraisal procedure and system, its method comprises step: carry out pre-service to the relevant rudimentary information obtained and quantize acquisition first quantized result, described Back ground Information comprises company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information; Acquisition first data vector is normalized to described first quantized result; Carry out pre-service to the status information obtained and quantize acquisition second quantized result, described status information comprises contact electric test information, plant machinery performance information, apparatus insulated performance information; Acquisition second data vector is normalized to described second quantized result; The remaining life of GIS is assessed according to described first data vector and described second data vector; Export assessment result.The present invention assesses the remaining life of GIS comprehensively, objectively, can save a large amount of operation expenses.
Description
Technical field
The present invention relates to technical field of electric power, particularly relate to a kind of GIS remaining life appraisal procedure and system.
Background technology
GIS (GasInsulatedSwitchgear, SF
6gas-insulating and fully-enclosed combiner) be a kind of High-Voltage Electrical Appliances device, that the electrical equipment closed group such as isolating switch, disconnector, high speed grounding switch, current/voltage mutual inductor, lightning arrester, bus casing and/or cable termination are combined in grounded metal enclosure, with SF
6gas is as the integrated system of insulating medium.
At present, also exist in the middle of the electric system of 110kV and above and run the longer GIS of the time limit in a large number, be limited to technical merit when dispatching from the factory and manufacturing process impact, these GIS ubiquities compared with the GIS of current production produced in early days that loss is large, reliability is not high, manage the problems such as inconvenient.And GIS is as the main carriers of operation of power networks and High Value Unit, its safety, reliability service again direct relation the stable of whole electrical network, and the electric power asset repair based on condition of component strategy of rising in recent years also proposes growth requirement for the robotization state evaluation device of GIS.In general, carry out durability analysis and life-span management to GIS to formulate the strategies such as medium-term and long-term GIS overhaul, technological transformation and equipment replacement to electric power enterprise effective scientific guidance is provided, electric power enterprise can be helped to improve power supply safety reliability and save operating cost.
Current, overhaul of the equipments operating strategy is in the critical period from the cycled recondition strategy based on preventive trial to the transition of repair based on condition of component strategy, realizes having substantive significance at the automatic evaluation of fortune power equipment residual technical service life for the transformation accelerating overhaul management strategy.But, remaining life assessment for GIS does not still have comparatively effective method, relevant research is also less, most research all concentrates on isolating switch, remaining life for GIS is passed judgment on mainly based on enterprise's equipment operating experience for many years, and by personnel such as field engineers, equipment is marked, and finally how much come roughly to confirm according to mark.Although the method can make supvr understand the state of GIS in certain degree, but with certain artificial subjectivity, and evaluation criteria quantification gradation is clear and definite not, there is more fuzzy interval, the state of equipment cannot be objectively responded, and the technical life of the assessment apparatus effectively of also having no idea.
Summary of the invention
The object of the present invention is to provide a kind of GIS remaining life appraisal procedure and system, can comprehensively, the remaining life of objective appraisal GIS.
Object of the present invention is achieved through the following technical solutions:
A kind of GIS remaining life appraisal procedure, comprises the steps:
Carry out pre-service to the relevant rudimentary information obtained and quantize acquisition first quantized result, described Back ground Information comprises company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information;
Acquisition first data vector is normalized to described first quantized result;
Carry out pre-service to the related status information obtained and quantize acquisition second quantized result, described status information comprises contact electric test information, plant machinery performance information, apparatus insulated performance information;
Acquisition second data vector is normalized to described second quantized result;
The remaining life of GIS is assessed according to described first data vector and described second data vector;
Export assessment result.
A kind of GIS remaining life apparatus for evaluating, comprises Back ground Information processing module, status information processing module, Back ground Information analysis module, status information analysis module, durability analysis module, output module;
Described Back ground Information processing module is used for carrying out pre-service to the relevant rudimentary information obtained and quantizing acquisition first quantized result, and described Back ground Information comprises company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information;
Described status information processing module is used for Back ground Information analysis module and is used for being normalized acquisition first data vector to described first quantized result;
Described status information processing module is used for carrying out pre-service to the related status information obtained and quantizing acquisition second quantized result, and described status information comprises contact electric test information, plant machinery performance information, apparatus insulated performance information;
Described status information analysis module is normalized acquisition second data vector to described second quantized result;
Described durability analysis module is used for the remaining life according to described first data vector and described second data vector assessment GIS;
Described output module is for exporting assessment result.
According to the scheme of the invention described above, it is after obtaining the first quantized result according to Back ground Information, again acquisition first data vector is normalized to this first quantized result, after carrying out acquisition second quantized result according to status information, again acquisition second data vector is normalized to this second quantized result, and according to described first data vector and described second data vector assessment GIS remaining life after output display Output rusults, this GIS remaining life assessment mode, based on company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information and contact electric test information, plant machinery performance information, the information such as apparatus insulated performance information, comprehensively, have evaluated the remaining life of GIS objectively, reduce the impact of artificial subjective factor to a large extent, make up the state estimation of current GIS, repair based on condition of component, technological transformation and change in decision-making management the deficiency existed, be conducive to assist power enterprise and improve power supply safety reliability and the management level to GIS device, further saving operating cost.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of GIS remaining life appraisal procedure embodiment of the present invention;
Fig. 2 is the refinement schematic flow sheet of the remaining life step assessing GIS in Fig. 1;
Fig. 3 is the structural representation of GIS remaining life apparatus for evaluating embodiment of the present invention.
Embodiment
Below in conjunction with embodiment and accompanying drawing, the present invention will be described in detail, but embodiments of the present invention are not limited thereto.
Shown in Figure 1, be the schematic flow sheet of GIS remaining life appraisal procedure embodiment of the present invention.As shown in Figure 1, the GIS remaining life appraisal procedure in the present embodiment comprises the steps:
Step S101: preliminary finish is carried out to the relevant rudimentary information obtained and quantizes acquisition first quantized result, described Back ground Information comprises company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information etc., other information can also be comprised according to actual requirement, enter step S102, wherein, preliminary finish can comprise the data identification, feature merger, data check, format conversion etc. of carrying out raw data (the initial Back ground Information obtained);
Step S102: acquisition first data vector is normalized to described first quantized result, enters step S103;
Step S103: preliminary finish is carried out to the related status information obtained and quantizes acquisition second quantized result, described status information comprises contact electric test information, plant machinery performance information, apparatus insulated performance information, enter step S104, wherein, preliminary finish can comprise the data identification, feature merger, data check, format conversion etc. of carrying out raw data (the initial performance information obtained);
Step S104: acquisition second data vector is normalized to described second quantized result, enters step S105;
Step S105: the remaining life assessing GIS according to described first data vector and described second data vector, enters step S106;
Step S106: export assessment result.
Accordingly, according to the scheme of the present embodiment, it is after obtaining the first quantized result according to Back ground Information, again acquisition first data vector is normalized to this first quantized result, after carrying out acquisition second quantized result according to status information, again acquisition second data vector is normalized to this second quantized result, and according to described first data vector and described second data vector assessment GIS remaining life after output display Output rusults, this GIS remaining life assessment mode, based on company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information and contact electric test information, plant machinery performance information, the information such as apparatus insulated performance information, comprehensively, assess the remaining life of GIS objectively, reduce the impact of artificial subjective factor to a large extent, make up the state estimation of current GIS, repair based on condition of component, technological transformation and change in decision-making management the deficiency existed, be conducive to assist power enterprise and improve power supply safety reliability and the management level to GIS device, further saving operating cost.
Wherein, obtaining the first quantized result in above-mentioned steps, obtain the process of the second quantized result can be do not adopt above-mentioned sequencing, can carry out simultaneously.Correspondingly, above-mentioned acquisition first data vector also can be not in accordance with said sequence with the process of acquisition the second data vector, can carry out simultaneously.
Below each step in the inventive method is described in detail.
Above-mentioned Back ground Information can be obtained from relevant electric network database by network, namely the company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information etc. of GIS to be assessed can be obtained from Relational database, such as, can obtain from database corresponding to the production management system of electrical network.According to actual needs, other mode also can be adopted to be obtained.
Above-mentioned status information can obtain from on-line monitoring equipment or grid management systems, namely can obtain contact electric test information, plant machinery performance information, apparatus insulated performance information etc. from on-line monitoring equipment or grid management systems.According to actual needs, other mode also can be adopted to be obtained.
Wherein in an embodiment, above-mentioned to Back ground Information carry out pre-service with quantize can be respectively pre-service and quantification are carried out to company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information, adopt in this way, greatly can improve the processing speed of data, lower mask body sets forth the process of these data preparations and quantification.
The process of company-information being carried out to pre-service and quantification can be: by identifying that basic account information (comprising company-information) obtains the main performance parameter of GIS and technical design parameter, and according to the quantitative levels divided in advance, this performance parameter and technical design parameter are quantized, generate the corresponding data result quantized; Performance parameter and technical design parameter comprise product reliability, design service life, specified open and close times, specified dropout current, failure on-off electric current, failure on-off number of times etc.
The process of material configuration information being carried out to pre-service and quantification can be: by identifying that described material configuration information determines that the material of each parts of GIS is formed, and the general aging impact of GIS is determined according to the material characteristic of all kinds of material and the material characteristic of all kinds of material of quantitative levels that divides in advance, generate the corresponding data result quantized.
Carrying out pre-service to Type of equipment familial defect information with quantizing process can be: by identifying that described equipment type family lacks information and determines GIS producer or corresponding parts producer, and generates the data result of corresponding quantification according to the parts producer of this GIS producer or correspondence and producer to the corresponding relation of performance class.
Pre-service is carried out to information on load and quantizing process can be: by identifying GIS reporting situations for different load, determine consequent impact, and according to the data result of the quantitative levels generating quantification divided in advance.
Pre-service is carried out to environmental information and quantizing process can be: the critical environments influence factor identifying GIS operating condition from environmental information, determine its capability of influence, and generate the corresponding environmental data result quantized according to the quantitative levels divided in advance.
Above-mentioned concrete quantizing process realizes based on the quantitative levels divided, magnitude setting grade can be shifted to an earlier date, when data fall in respective bins, namely corresponding coefficient is obtained, specific implementation process all can adopt existing mode, at this, is only described to be quantified as example to the partial data in company-information, and be only described for manufacturer, Vendor-Type in company-information, it will not go into details for other.The corresponding relation of manufacturer such as shown in table 1 and producer's fiduciary level 1 and Vendor-Type and producer's fiduciary level 2 can be set up in advance, then after identifying the information such as the manufacturer in company-information, Vendor-Type, just can determine that the reliability of current GIS to be assessed obtains corresponding quantized result according to this corresponding relation.
Table 1 producer reliability quantitative levels
Carrying out preliminary finish with quantizing to related performance information also can be carry out preliminary finish and quantification to contact electric test information, plant machinery performance information, apparatus insulated performance information respectively, adopt in this way, greatly can improve the processing speed of data, lower mask body introduces the process of these data preparations and quantification.
The process of contact electric test information being carried out to preliminary finish and quantification can be: by obtaining contact and the arc energy data of spout when cut-offfing, the electrical wear situation of radial basis function neural network analytical calculation contact is adopted to obtain corresponding quantized result, wherein, the activation function of hidden layer can adopt Gaussian function.Before the device adopting the inventive method to obtain puts into operation, the database cut-offfing arc energy data about contact can also be set up, and extract the characteristic about contact head abrasive loss, set up the Feature Mapping amount about electric arc amount data and contact head abrasive loss; Extraction history is cut-off arc energy data and is trained as the neural network function of specimen needle to correspondence, determine weight and the coefficient of each layer, thus determine the mapping relations of arc energy and contact head abrasive loss, then can based on the quantification of contact electric test data message realization to contact electric test information of input.
The process of plant machinery performance information being carried out to preliminary finish and quantification can be: by identifying described point from plant machinery performance information, the mechanical property situation of the data analysis isolating switch such as closing coil electric current, contact travel obtains corresponding quantized result.Before the device adopting the inventive method to obtain puts into operation, can also set up about point, the database of closing coil electric current, contact travel etc., extract data sample, neural network function for correspondence is trained, to determine point, the mapping relations of the mechanical property of closing coil electric current and contact travel and isolating switch, then can based on input point, the data such as closing coil electric current and contact travel realize to plant machinery performance information quantification.
The process of apparatus insulated performance information module being carried out to preliminary finish and quantification can be: being the data messages such as the impact by obtaining GIS inside or vibration, determining that the insulating property situation of GIS obtains corresponding quantized result.Before the device adopting the inventive method to obtain puts into operation, can also set up about the energy database of impacting or vibrate, and extract data sample (energy development characteristic curve), neural network function for correspondence is trained, determine the mapping relations between the energy of impact or vibration and apparatus insulated performance, then can based on the impact of input or the energy datum information of vibration, finally realize preliminary finish to apparatus insulated performance information and quantification.
Wherein in an embodiment, shown in Figure 2, may further include following steps in above-mentioned steps S105:
Step S1051: adopt radial basis function neural network algorithm to state the first data vector and described second data vector is analyzed to described, determine the described GIS current completed life-span, simultaneously before the device adopting the inventive method to obtain puts into operation, also response speed can be improved by the mode of sample training, at this, it will not go into details;
Step S1052: adopt radial basis function neural network algorithm to analyze described GIS current completed life-span and described second data vector, that determines described GIS can the remaining life of reliability service continuously, also can improve response speed by sample training.
According to the method for the invention described above, the present invention also provides a kind of GIS remaining life apparatus for evaluating, and just the concrete example of GIS remaining life apparatus for evaluating of the present invention is described in detail below.The structural representation of a preferable examples of GIS remaining life apparatus for evaluating of the present invention has been shown in Fig. 3.According to different Considerations, when specific implementation GIS remaining life of the present invention apparatus for evaluating, what can comprise shown in Fig. 3 is whole, also only can comprise the wherein part shown in Fig. 3, just be described in detail for the specific embodiment of several GIS remaining life apparatus for evaluating wherein below.
Embodiment 1
In this embodiment, can be the Back ground Information processing module 301 included in Fig. 3, status information processing module 302, Back ground Information analysis module 303, status information analysis module 304, durability analysis module 305, output module 306, wherein:
Back ground Information processing module 301 is for carrying out pre-service and quantizing acquisition first quantized result to the relevant rudimentary information obtained, described Back ground Information comprises company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information etc., other information can also be comprised according to actual requirement, wherein, preliminary finish can comprise the data identification, feature merger, data check, format conversion etc. of carrying out raw data (the initial Back ground Information obtained);
Status information processing module 302 is for being normalized acquisition first data vector to described first quantized result;
Back ground Information analysis module 303 is for carrying out pre-service and quantizing acquisition second quantized result to the related status information obtained, described status information comprises contact electric test information, plant machinery performance information, apparatus insulated performance information, wherein, preliminary finish can comprise the data identification, feature merger, data check, format conversion etc. of carrying out raw data (the initial performance information obtained);
Status information analysis module 304 is normalized acquisition second data vector to described second quantized result;
Durability analysis module 305 is for the remaining life according to described first data vector and described second data vector assessment GIS;
Output module 306 is for exporting assessment result.
According to the scheme in the present embodiment, because it is based on company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information and contact electric test information, plant machinery performance information, the information evaluations such as apparatus insulated performance information GIS remaining life, this assessment mode is comprehensive, objective, reduce the impact of artificial subjective factor to a large extent, make up the state estimation of current GIS, repair based on condition of component, technological transformation and change in decision-making management the deficiency existed, be conducive to assist power enterprise and improve power supply safety reliability and the management level to GIS device, further saving operating cost.
Scheme in the present embodiment is when specific implementation, Back ground Information processing module 301 can be obtained from Relational database by network, namely the company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information etc. of GIS to be assessed can be obtained from Relational database, such as, can obtain from database corresponding to the production management system of electrical network.According to actual needs, also other mode can be adopted to be obtained, status information processing module 302 can obtain from on-line monitoring equipment or grid management systems, namely can obtain contact electric test information, plant machinery performance information, apparatus insulated performance information etc. from on-line monitoring equipment or grid management systems.According to actual needs, other mode also can be adopted to be obtained.
Embodiment 2
The present embodiment, on the basis of embodiment 1, is described for the sub-structure of Back ground Information processing module 301.
Back ground Information processing module 301 comprises the company-information processing unit 3011 for carrying out pre-service and quantification to company-information, for carrying out the material configuration information processing unit 3012 of pre-service and quantification to material configuration information, for carrying out the Type of equipment familial defect information processing unit 3013 of pre-service and quantification to Type of equipment familial defect information, for carrying out the information on load processing unit 3014 of pre-service and quantification to information on load, for carrying out the environmental information processing unit 3015 of pre-service and quantification to environmental information, according to actual needs, other information process units 3016 for carrying out pre-service and quantification to other information can also be comprised, adopt this sub-structure, each processing unit can work simultaneously, greatly can improve the processing speed of data, and then improve assess effectiveness, below the specific works process of these processing units is introduced in detail.
Company-information processing unit 3011 is by identifying that basic account information (comprising company-information) obtains the main performance parameter of GIS and technical design parameter, and according to the quantitative levels divided in advance, this performance parameter and technical design parameter are quantized, generate the corresponding data result quantized; Performance parameter and technical design parameter comprise product reliability, design service life, specified open and close times, specified dropout current, failure on-off electric current, failure on-off number of times etc.
Material configuration information processing unit 3012 is by identifying that described material configuration information determines that the material of each parts of GIS is formed, and the general aging impact of GIS is determined according to the material characteristic of all kinds of material and the material characteristic of all kinds of material of quantitative levels that divides in advance, generate the corresponding data result quantized.
Type of equipment familial defect information processing unit 3013 by identifying that described equipment type family lacks the parts producer that information determines GIS producer or correspondence, and generates the data result of corresponding quantification according to the parts producer of this GIS producer or correspondence and producer to the corresponding relation of performance class.
Information on load processing unit 3014, by identifying GIS reporting situations for different load, determines consequent impact, and according to the data result of the quantitative levels generating quantification divided in advance.
Environmental information processing unit 3015 identifies the critical environments influence factor of GIS operating condition from environmental information, determines its capability of influence, and generates the corresponding environmental data result quantized according to the quantitative levels divided in advance.
Embodiment 3
The present embodiment, on the basis of embodiment 1 or embodiment 2, is described for the sub-structure of status information processing module 302.
Status information processing module 302 comprises the contact electric test information process unit 3021 for carrying out pre-service and quantification to contact electric test information, for carrying out the plant machinery performance information processing unit 3022 of pre-service and quantification to plant machinery performance information, for carrying out the apparatus insulated performance information processing unit 3023 of pre-service and quantification to apparatus insulated performance information, adopt this sub-structure, each processing unit can work simultaneously, greatly can improve the processing speed of data, and then improve assess effectiveness, below the specific works process of these processing units is introduced in detail.
Contact electric test information process unit 3021 is by obtaining contact and the arc energy data of spout when cut-offfing, the electrical wear situation of radial basis function neural network analytical calculation contact is adopted to obtain corresponding quantized result, wherein, the activation function of hidden layer can adopt Gaussian function.Before GIS remaining life apparatus for evaluating puts into operation, the database cut-offfing arc energy data about contact can also be set up, and extract the characteristic about contact head abrasive loss, set up the Feature Mapping amount about electric arc amount data and contact head abrasive loss; Extraction history is cut-off arc energy data and is trained as the neural network function of specimen needle to correspondence, determine weight and the coefficient of each layer, thus determine the mapping relations of arc energy and contact head abrasive loss, then can based on the quantification of contact electric test data message realization to contact electric test information of input.
The process that plant machinery performance information processing unit 3022 pairs of plant machinery performance informations carry out preliminary finish and quantification can be: by identifying described point from plant machinery performance information, the mechanical property situation of the data analysis isolating switch such as closing coil electric current, contact travel obtains corresponding quantized result.Before GIS remaining life apparatus for evaluating puts into operation, can also set up about point, the database of closing coil electric current, contact travel etc., extract data sample, neural network function for correspondence is trained, to determine point, the mapping relations of the mechanical property of closing coil electric current and contact travel and isolating switch, then can based on input point, the data such as closing coil electric current and contact travel realize to plant machinery performance information quantification.
Apparatus insulated performance information processing unit 3023, by obtaining the data messages such as the impact of GIS inside or vibration, determines that the insulating property situation of GIS obtains corresponding quantized result.Before GIS remaining life apparatus for evaluating puts into operation, can also set up about the energy database of impacting or vibrate, and extract data sample (energy development characteristic curve), neural network function for correspondence is trained, determine the mapping relations between the energy of impact or vibration and apparatus insulated performance, then can based on the impact of input or the energy datum information of vibration, finally realize preliminary finish to apparatus insulated performance information and quantification.
Embodiment 4
In this example, comprise for durability analysis module 305 structure segmented further to be described.Durability analysis module 305 comprises aging life-span analytic unit 3051, remaining life analytic unit 3052, wherein:
Aging life-span analytic unit 3051 states the first data vector and described second data vector is analyzed for adopting radial basis function neural network algorithm to described, determine the life cycle that described GIS has completed, before GIS remaining life apparatus for evaluating puts into operation, can also carry out sample training to aging life-span analytic unit 3051 can respond input information fast;
Remaining life analytic unit 3052 is analyzed the described life cycle that completed and described second data vector for adopting radial basis function neural network algorithm, determine the remaining life of described GIS, before GIS remaining life apparatus for evaluating puts into operation, can also carry out sample training to remaining life analytic unit 3052 can respond input information fast.
Output module 306 in the various embodiments described above can comprise USB interface, Ethernet data interface and printer interface.In addition, Back ground Information processing module 301, status information processing module 302, Back ground Information analysis module 303, status information analysis module 304, durability analysis module 305, output module 305 can be connected by serial data bus, such as, between Back ground Information processing module 301 and Back ground Information analysis module 303, between status information processing module 302 and status information analysis module 304, durability analysis module 305 and status information processing module 302, status information analysis module 304, all can be connected by serial data bus between output module 305 etc., achieve the communication between modules or each unit, the communication interface of USB2.0 can be adopted.
Be described for a concrete application example below, it should be noted that, this application example is not construed as limiting the invention.
Application GIS remaining life apparatus for evaluating certain GIS interval to 220kV transformer station of certain power supply administration is assessed, be specially Back ground Information processing module 301 and obtain Back ground Information by the database of power supply administration, and be input to Back ground Information analysis module 303 by the result of this Back ground Information; Status information processing module 302 obtains performance information by the monitoring equipment administrating system of power supply administration, and is input to status information analysis module 304 by the result of performance information, durability analysis module 305; Analysis result according to Back ground Information analysis module 303 and status information analysis module 304 obtains assessment result automatically, and carries out exporting at result output module 306 and show.
Analysis result:
GIS life expectancy is 33 years, and namely life cycle is 33 years;
The current life cycle realized of GIS is 17 years, and current ageing rate is 0.51;
GIS remaining life is 9 years, and reliability is 0.78, namely do not take to upgrade and maintenance measure under estimate that the fiduciary level that GIS will be 0.78 with mean value in following 9 years is run, but exceed this time and cannot ensure.
The present invention is as follows relative to the main beneficial effect of prior art:
(1) influence degree of Various types of data for ageing equipment can be considered, obtain comprehensive data message, comprise the manufacturing process at GIS interval, material formation, operating load, environmental information and operating condition performance information, realize being spaced apart the technical life assessment of base unit and the data publication of assessment result with single GIS;
(2) evaluation process is mainly based on the technical feature information of GIS, comparatively comprehensively, objective, can overcome the impact of artificial subjective factor to a great extent;
(3) enough structures supporting local power supply administration repair based on condition of component system to a large extent, make up the technological transformation of GIS further and change the deficiency existed in decision-making management, being conducive to assist power enterprise and improving power supply safety reliability and save operating cost.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (6)
1. a GIS remaining life appraisal procedure, is characterized in that, comprises the steps:
Carry out pre-service to the relevant rudimentary information obtained and quantize acquisition first quantized result, described Back ground Information comprises company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information;
Acquisition first data vector is normalized to described first quantized result;
Carry out pre-service to the related status information obtained and quantize acquisition second quantized result, described status information comprises contact electric test information, plant machinery performance information, apparatus insulated performance information;
Acquisition second data vector is normalized to described second quantized result;
The remaining life of GIS is assessed according to described first data vector and described second data vector;
Export assessment result;
Wherein, the described remaining life according to described first data vector and described second data vector assessment GIS comprises the steps:
Adopt radial basis function neural network algorithm to analyze described first data vector and described second data vector, determine the life cycle that described GIS has completed;
Adopt radial basis function neural network algorithm to analyze the described life cycle that completed and described second data vector, determine the remaining life of described GIS.
2. GIS remaining life appraisal procedure according to claim 1, it is characterized in that, obtain described company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information by network from electric network database, obtain contact electric test information, plant machinery performance information, apparatus insulated performance information from on-line monitoring equipment or grid management systems.
3. a GIS remaining life apparatus for evaluating, is characterized in that, comprises Back ground Information processing module, status information processing module, Back ground Information analysis module, status information analysis module, durability analysis module, output module;
Described Back ground Information processing module is used for carrying out pre-service to the relevant rudimentary information obtained and quantizing acquisition first quantized result, and described Back ground Information comprises company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information;
Described status information processing module is used for Back ground Information analysis module and is used for being normalized acquisition first data vector to described first quantized result;
Described status information processing module is used for carrying out pre-service to the related status information obtained and quantizing acquisition second quantized result, and described status information comprises contact electric test information, plant machinery performance information, apparatus insulated performance information;
Described status information analysis module is normalized acquisition second data vector to described second quantized result;
Described durability analysis module is used for the remaining life according to described first data vector and described second data vector assessment GIS;
Described output module is for exporting assessment result;
Wherein, described durability analysis module comprises:
Aging life-span analytic unit, for adopting radial basis function neural network algorithm to analyze described first data vector and described second data vector, determines the life cycle that described GIS has completed;
Remaining life analytic unit, for adopting radial basis function neural network algorithm to analyze the described life cycle that completed and described second data vector, determines the remaining life of described GIS.
4. GIS remaining life apparatus for evaluating according to claim 3, it is characterized in that, described Back ground Information processing module obtains described company-information, material configuration information, Type of equipment familial defect information, information on load, environmental information by network from electric network database, and described status information processing module obtains contact electric test information, plant machinery performance information, apparatus insulated performance information from on-line monitoring equipment or grid management systems.
5. GIS remaining life apparatus for evaluating according to claim 3, is characterized in that, described output module comprises USB interface, Ethernet data interface and printer interface.
6. GIS remaining life apparatus for evaluating according to claim 3, it is characterized in that, described Back ground Information processing module, status information processing module, Back ground Information analysis module, status information analysis module, durability analysis module, output module are connected by serial data bus.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210567166.2A CN103049661B (en) | 2012-12-21 | 2012-12-21 | GIS remaining life appraisal procedure and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210567166.2A CN103049661B (en) | 2012-12-21 | 2012-12-21 | GIS remaining life appraisal procedure and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103049661A CN103049661A (en) | 2013-04-17 |
| CN103049661B true CN103049661B (en) | 2015-11-18 |
Family
ID=48062295
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210567166.2A Active CN103049661B (en) | 2012-12-21 | 2012-12-21 | GIS remaining life appraisal procedure and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103049661B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104598969B (en) * | 2014-11-13 | 2018-02-23 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | High-voltage electrical appliance operation quality evaluation method and system based on neural network |
| CN106442925B (en) * | 2016-09-11 | 2018-08-21 | 国网浙江省电力公司电力科学研究院 | A kind of lifetime estimation method of extra-high voltage grid GIS containing defect shells |
| CN107121300A (en) * | 2017-04-21 | 2017-09-01 | 珠海格力电器股份有限公司 | A kind of equipment optimization system of selection, device and equipment |
| CN115994427B (en) * | 2023-03-22 | 2023-06-06 | 江苏大全长江电器股份有限公司 | GIS switch cabinet manufacturing optimization method and system based on life assessment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5598509A (en) * | 1992-08-28 | 1997-01-28 | Hitachi, Ltd. | Method of configuring a neural network and a diagnosis/recognition system using the same |
| CN102034019A (en) * | 2010-10-12 | 2011-04-27 | 重庆大学 | Method for comprehensively estimating insulation state of sulfur hexafluoride electrical equipment |
| CN102402727A (en) * | 2011-11-10 | 2012-04-04 | 中联重科股份有限公司 | System and method for predicting residual life of part of engineering machine |
| CN102590688A (en) * | 2012-03-13 | 2012-07-18 | 广州供电局有限公司 | Method for estimating operation condition of sulfur hexafluoride transformers |
-
2012
- 2012-12-21 CN CN201210567166.2A patent/CN103049661B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5598509A (en) * | 1992-08-28 | 1997-01-28 | Hitachi, Ltd. | Method of configuring a neural network and a diagnosis/recognition system using the same |
| CN102034019A (en) * | 2010-10-12 | 2011-04-27 | 重庆大学 | Method for comprehensively estimating insulation state of sulfur hexafluoride electrical equipment |
| CN102402727A (en) * | 2011-11-10 | 2012-04-04 | 中联重科股份有限公司 | System and method for predicting residual life of part of engineering machine |
| CN102590688A (en) * | 2012-03-13 | 2012-07-18 | 广州供电局有限公司 | Method for estimating operation condition of sulfur hexafluoride transformers |
Non-Patent Citations (2)
| Title |
|---|
| 《变压器健康状况评估与剩余寿命预测》;梁博渊，刘伟，杨欣桐;《电网与清洁能源》;20101130;第26卷(第11期);第1-2节 * |
| 《超高压GIS剩余寿命评估方法综述》;李东妍，荣命哲等;《高压电器》;20111031;第47卷(第10期);第1-2节，图2 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103049661A (en) | 2013-04-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103499753B (en) | Intelligent system for rapidly identifying transient fault of high-voltage direct-current power transmission system | |
| CN110929853A (en) | Power distribution network line fault prediction method based on deep learning | |
| CN105488344B (en) | A kind of general evaluation method of controller switching equipment health index | |
| CN105184521B (en) | A kind of methods of risk assessment of grid operation mode, apparatus and system | |
| CN105740975A (en) | Data association relationship-based equipment defect assessment and prediction method | |
| CN103049661B (en) | GIS remaining life appraisal procedure and system | |
| CN106771448A (en) | A kind of electric energy meter shunting anti-electricity-theft early warning analysis method of analysis | |
| CN108520362A (en) | A kind of integrated evaluating method of rural area intelligent grid level | |
| CN112152313B (en) | Method for identifying power equipment by acquisition system | |
| CN103150635A (en) | Operation and maintenance method of power equipment | |
| CN104410163A (en) | Safety production and energy saving method based on power energy management system | |
| CN103632213A (en) | Evaluation pre-warning system for regional power grid voltage reactive power control | |
| CN114383652A (en) | Method, system and device for identifying potential fault online risk of power distribution network | |
| Catterson et al. | The impact of smart grid technology on dielectrics and electrical insulation | |
| CN103345715A (en) | Electrical equipment transformation method | |
| Bosovic et al. | Deterministic aggregated harmonic source models for harmonic analysis of large medium voltage distribution networks | |
| CN109217320A (en) | A kind of electric power system control management method | |
| CN108681802A (en) | A kind of electric vehicle electrically-charging equipment Information Interoperability evaluation method | |
| CN104767281B (en) | A kind of high voltage distribution network topological Simplification method | |
| CN111537819A (en) | Distribution automation monitoring method, system, terminal and storage medium | |
| CN111582626A (en) | Power grid planning adaptability method based on big data | |
| CN115792437B (en) | Digital monitoring method and system for lightning arrester | |
| CN106651113A (en) | Dispatcher operation risk evaluation method based on advanced N-1 analysis | |
| CN112785109A (en) | Power grid equipment fault analysis method and system based on regulation cloud | |
| CN105631552A (en) | Power distribution automation engineering economic benefit assessment method based on whole life cycle |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP01 | Change in the name or title of a patent holder |
Address after: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Co-patentee after: Red phase Limited by Share Ltd Patentee after: Guangzhou Power Supply Bureau Address before: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Co-patentee before: Xiamen Red Phase Instruments Inc. Patentee before: Guangzhou Power Supply Bureau |
|
| CP01 | Change in the name or title of a patent holder | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20190624 Address after: 510620 No. 2 Tianhe two road, Tianhe District, Guangzhou, Guangdong Patentee after: Guangzhou Power Supply Bureau Address before: 510620 No. 2 Tianhe two road, Tianhe District, Guangzhou, Guangdong Co-patentee before: Red phase Limited by Share Ltd Patentee before: Guangzhou Power Supply Bureau |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20200922 Address after: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Patentee after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Address before: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Patentee before: GUANGZHOU POWER SUPPLY Co.,Ltd. |
|
| TR01 | Transfer of patent right |