CN103837770B - Power equipments defect detects maintaining method - Google Patents
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Abstract
The invention provides a kind of power equipments defect and detect maintaining method, by the property parameters of described power equipment, running environment parameter and equipment status parameter being generated to the configuration file with pre-determined text form; The text cluster processing that described configuration file is carried out the screening of participle, stop words, sets up word bag pattern, selected characteristic word and set up characteristic vector model, in the situation that not knowing specifically to have how many kinds of defect type, carry out automatic decision and classification according to the similarity between the defect information of power equipment in advance; And then according to the type of clear and definite defect in advance and corresponding keyword, complete Auto-matching, accurately obtain the defect type of power equipment. Then, just can carry out according to this defect type defect early warning and the maintenance of power equipment, the defects detection of power equipment and the efficiency of maintenance are improved, cost, accuracy is also improved simultaneously.
Description
Technical field
The present invention relates to the technical field that power equipment is safeguarded, particularly relate to a kind of power equipments defect and detectMaintaining method.
Background technology
Be accompanied by socioeconomic development, power load has obtained increasing rapidly, the quantity of transformer stationAlso in cumulative year after year, therefore, in transformer station, the running quality of a power equipment more and more needs to obtain enoughAttention. Converting station electric power equipment is carried out effectively safeguarding also that repair-deficiency is to improve substation operation matter fastThe important channel of amount.
It is an important component part of electric power equipment management that power equipments defect state-detection is safeguarded, electric power is establishedStandby exist defect number, directly reflect power equipment health degree and repair quality. How effectively controlThe generation of power equipments defect processed, reduces to greatest extent the generation of similar defect or eliminates in time defect,Fundamentally improving the operation and maintenance level of power equipment, is substation safety operation service, becomes current changeOne of significant task of power plant safety stable operation.
At present, aspect the detection of converting station electric power equipment deficiency and safeguarding, build by the informationization of transformer stationIf realized the online data statistics of the information such as power equipment account, power equipments defect record and concentratedManagement, and deposited in real time information in CIS system, put into effect relevant Management and application standard, be electric powerLectotype selection, power equipment technological transformation, the formulation of repair schedule and the processing of power equipments defect provide phaseThe foundation of answering, has controlled power equipment operation risk to a certain extent.
But along with the CIS online implementing increase of running time, the power equipment account in system, power equipmentThe data such as defect are more and more, have been difficult to pass through people for the useful information being hidden in these mass datasWork is carried out effectively statistics and analysis, must be by advanced computer technology, artificial intelligence technology, dataDigging technologies etc. carry out deep association and excavate and process, and are power equipment type selecting and the healthy operation of power equipmentProvide safeguard.
Often converting station electric power equipment account information, the power equipment of in store magnanimity in conventional CIS systemDefective data information etc., for these data messages, system has only been carried out simple classification and has been piled up, electricityData between power equipment are all relatively independent, and the information of similar power equipment does not have relevance, wantsDetect relevant electric power facility information and the defect of certain class power equipment or certain transformer station, conventionally all need intoThe complicated operation of row by the help of other professional statistical tool, directly cause defect information seek rate slow,Difficulty is large, efficiency is low.
And, due to the relative independentability of the power equipments defect data message in CIS system, caused letterBetween breath, lack relevance. Such as power equipment account not and power equipment Test Information, power equipments defectData message carries out association, therefore, cannot really accomplish reasonably to process power equipments defect, uncontrollablePower equipment risk, improves the power equipment general level of the health. Depend on manual analysis, efficiency is low, cost is high,And information is often comprehensive not, inaccurate, affects power equipments defect and detect maintenance.
Summary of the invention
Detect for existing power equipments defect that maintaining method efficiency is low, cost is high, inaccurate problem,The present invention proposes that a kind of efficiency is high, and cost is lower, and the power equipments defect that accuracy is high detects maintaining method.
A kind of power equipments defect detects maintaining method, comprises the following steps:
Obtain property parameters, running environment parameter and the equipment status parameter of power equipment;
According to the property parameters of described power equipment, running environment parameter and equipment status parameter, generate toolHave the configuration file of pre-determined text form, wherein, described text formatting is XML;
Described configuration file is carried out to text word segmentation processing;
According to default screening keyword, described configuration file is carried out to stop words screening;
Described configuration file after screening is set up to word bag pattern;
According to institute's predicate bag pattern selected characteristic word, set up characteristic vector model;
According to default keyword, each characteristic vector model is mated, if described characteristic vector mouldIn type, there is corresponding keyword, this power equipment is matched to the defect type that described keyword is corresponding;Wherein, every kind of defect type and one or more keyword have default corresponding relation;
According to the defect type of described power equipment obtaining, to described power equipment carry out defect early warning and/Or safeguard.
Power equipments defect of the present invention detects in maintaining method, by by the property parameters of described power equipment,Running environment parameter and equipment status parameter generate the configuration file with pre-determined text form; Join describedPutting file carries out participle, stop words screening, sets up word bag pattern, selected characteristic word and set up characteristic vectorThe text cluster processing of model, in the situation that not knowing specifically to have how many kinds of defect type, according to electricity in advanceSimilarity between the defect information of power equipment is carried out automatic decision and classification; And then according in advance clear and definiteThe type of defect and corresponding keyword, complete Auto-matching, accurately obtains the defect type of power equipment.Then, just can carry out according to this defect type defect early warning and the maintenance of power equipment, make lacking of power equipmentFall into the efficiency detecting and safeguard and improve, cost, accuracy is also improved simultaneously.
Brief description of the drawings
Fig. 1 is the schematic flow sheet that power equipments defect of the present invention detects maintaining method.
Detailed description of the invention
Refer to Fig. 1, Fig. 1 is the schematic flow sheet that power equipments defect of the present invention detects maintaining method.
Described power equipments defect detects maintaining method and comprises the following steps:
S101, obtains property parameters, running environment parameter and the equipment status parameter of power equipment;
S102, according to the property parameters of described power equipment, running environment parameter and equipment status parameter,Generation has the configuration file of pre-determined text form;
S103, carries out text word segmentation processing to described configuration file;
S104, carries out stop words screening according to default screening keyword to described configuration file;
S105, sets up word bag pattern to the described configuration file after screening;
S106, according to institute's predicate bag pattern selected characteristic word, sets up characteristic vector model;
S107, according to default keyword, mates each characteristic vector model, if described featureIn vector model, there is corresponding keyword, this power equipment is matched to the defect that described keyword is correspondingType; Wherein, every kind of defect type and one or more keyword have default corresponding relation;
S108, according to the defect type of the described power equipment obtaining, to the defect of carrying out of described power equipmentEarly warning and/or maintenance.
Power equipments defect of the present invention detects in maintaining method, by by the property parameters of described power equipment,Running environment parameter and equipment status parameter generate the configuration file with pre-determined text form; Join describedPutting file carries out participle, stop words screening, sets up word bag pattern, selected characteristic word and set up characteristic vectorThe text cluster processing of model, in the situation that not knowing specifically to have how many kinds of defect type, according to electricity in advanceSimilarity between the defect information of power equipment is carried out automatic decision and classification; And then according in advance clear and definiteThe type of defect and corresponding keyword, complete Auto-matching, accurately obtains the defect type of power equipment.Then, just can carry out according to this defect type defect early warning and the maintenance of power equipment, make lacking of power equipmentFall into the efficiency detecting and safeguard and improve, cost, accuracy is also improved simultaneously.
Wherein, for step S101, utilize traditional data capture method, from CIS system, read correspondingData, self attributes, power equipment running environment and status of electric power information etc. to power equipmentRelevant information is collected respectively. Self attributes, power equipment running environment and the electric power of described power equipment are establishedStandby status information is also referred to as the defect information of described power equipment.
The property parameters of described power equipment comprises: producer, model, electric pressure and the fortune of power equipmentThe row time limit; The running environment parameter of described power equipment comprises: the infield of power equipment, humiture,Meteorology and load; Described equipment status parameter comprises: whether defect or test of power equipment.
And in step S102, the self attributes to the power equipment obtaining in above-mentioned steps S101, electric powerThe power equipments defect data such as equipment operating environment and status of electric power information are with the form storage of text,Generation has the configuration file of pre-determined text form, and described text formatting is for example XML etc.
In step S103 to S107, respectively to the self attributes that comprises power equipment, power equipment operationThe configuration file of the power equipments defect data such as environment and status of electric power information carries out text cluster and literary compositionThis classification is processed.
Text cluster, in the situation that not knowing specifically to have how many kinds of defect type, is believed according to defect in advanceSimilarity between breath is carried out automatic decision and classification; Text classification, in advance clear and definite defect type andCorresponding keyword, and Auto-matching.
The method of text cluster focuses on realizing general text pretreatment, and so-called text pretreatment is wrapped successivelyDraw together: participle, remove stop words, set up word bag pattern, Feature Words selects and sets up document handling.
Wherein, institute's predicate bag pattern is also called " word bag (Bagofwords) ", in information retrieval, and BagofWordsmodel supposes for a text, and ignore its word order and grammer, syntax, only regards it as oneIndividual set of words, or perhaps a combination of word, in text, the appearance of each word is independently, does not rely onWhether occur in other words, be not all to be subject to previous sentence when selecting a vocabulary in any one position in other wordsImpact and independent select.
Feature Words is selected to carry out Feature Words according to the similarity of the defect information in each word bag patternSelect, be preferably choose similarity higher than the defect information of preset value as Feature Words.
File classification method is mainly with reference to relevant electrical network defect information storehouse, obtain in advance every kind of defect type withThe corresponding relation of one or more keywords. Then according to the coupling of described keyword can be completed electric power is establishedThe identification of standby defect type.
In a kind of preferred embodiment, step S107 comprises following sub-step:
Obtain the default defect type table of comparisons, pre-recorded in the wherein said defect type table of comparisons have every kindThe corresponding relation of defect type and one or more keywords;
According to thering is the defect type table of comparisons described in corresponding keyword search in described characteristic vector model, obtainDefect type that must be corresponding with described keyword.
Taking transformer body as example, its defect type and respectively corresponding keyword are as shown in table 1,
Table 1 transformer body defect type and keyword
In step S108, according to definite defect type, can carry out defect to corresponding power equipment pre-Police and/or maintenance.
Corresponding to self attributes, power equipment running environment and the status of electric power letter of described power equipmentThe defect information such as breath. The step of in step S108, power equipment being carried out to defect early warning and/or maintenance can comprise withDescend one or more:
According to the operation time limit of power equipment and the defect type of described correspondence, obtain the defect of power equipmentRate, with the rule that changes of growth of the operation time limit, is obtained the growth of defect pattern of power equipment, according to electric powerThe actual motion time limit of equipment and the growth of defect pattern of described power equipment, to entering of described power equipmentThe early warning of row defect and/or maintenance;
And/or, according to the defect type of the producer of power equipment, electric pressure and described correspondence, obtain notThe corresponding relation of the ratio of defects of the power equipment of the each electric pressure generating with producer, according to power equipment realityProducer, electric pressure, described power equipment carried out to defect early warning and/or maintenance;
And/or, according to the defect type of the load condition of power equipment and described correspondence, obtain power equipmentDefect type, ratio of defects and its load between incidence relation, according to the actual load of power equipment, rightDescribed power equipment carry out defect early warning and/or maintenance;
And/or, according to the defect type of the infield of power equipment, humiture, meteorology and described correspondence,Obtain the season in ratio of defects and the power equipment running environment of power equipment, the incidence relation in area, according toThe actual motion environment of power equipment, carries out defect early warning and/or maintenance to described power equipment.
Wherein, in the step of growth of defect pattern of obtaining power equipment, by power equipments defect is increasedThe analysis of long pattern, draws the rule that power equipments defect rate changes along with the growth of the time limit that puts into operation, toBe disclosed in the development model of power equipments defect in power equipment O&M life cycle.
Obtaining in the defect of power equipment and the associated step of producer, electric pressure, study different manufacturersPower equipments defect rate difference. The power equipment manufacturers such as the transformer to each electric pressure, by defectRate rank register is divided into two: front 50% for leading manufacturer, and rear 50% for falling behind manufacturer, comparative study the twoThe difference of power equipments defect development speed is considered the impact of the power equipment operation time limit simultaneously in analytic process.Similarly, by the growth of defect situation of contrast import, joint and Domestic Electric equipment, can be to three class electric powerThe quality of equipment is made evaluation.
Obtaining in the step of the defect of power equipment and the incidence relation of load, divide by transformer load situationFor heavy load and light load power equipment, the incidence relation between ratio of defects and its load of analysis power equipment;The defect situation of research heavy duty and underloading transformer respectively, defect type and the defect of two groups of power equipments of contrastRate, in the hope of obtaining the incidence relation of power equipment load and defect type, ratio of defects. Meanwhile, canThe ratio of region-by-region statistics heavy load transformer, for power equipment O&M provides reference frame.
And the weight that how to define transformer load is the first step of this work. In a kind of preferred embodimentIn, below meeting, be judged to be heavily loaded transformer when one of two conditions: (1) peak load in nearly 1 year (orNearly one month) meet or exceed 100%; (2) average load of nearly a year (or nearly month) reaches or is superCross 80%, otherwise be underloading transformer, concrete actual basis for estimation can define after analyzing again.
Finally, in the step of incidence relation of obtaining power equipments defect and season, area, some electric powerMay there is incidence relation with ambient humidity etc. as respirator variable color, sleeve of main transformer defective insulation in equipment deficiency,And environmental change is usually reflected on season, region, therefore should consider to study different months, different regionsPower equipments defect rate situation.
The present invention adopts the technological means such as cluster, classification, to power equipment account, defect, the test of the whole networkCarry out associated, the Cluster Classification based on numerical value and lteral data source etc. information, obtain status of electric power developmentThe rule changing, thus carry out defects detection, early warning and the maintenance of power equipment according to described rule.
By the present invention, power equipment information and the defective data of the whole network are excavated, power equipment is believedIt is associated that breath and power equipments defect data are carried out, and can obtain simply, rapidly the power equipment of different manufacturersState variation situation in use, is convenient to power equipment type selecting, power equipment technological transformation and maintenance meterThe formulation of drawing and for power equipments defect processing provides foundation, controls power equipment risk, improves power equipmentThe general level of the health.
In the present invention, the processing data information such as power equipment account be based on existing magnanimity power equipment account,Power equipment test data and power equipments defect data etc. data message, utilizes data mining technology to thisA little data are excavated. Power equipments defect processing data information is to utilize the skill such as text cluster, text classificationArt means excavate the power equipments defect data of magnanimity, obtain power equipment by classification of defectsDefect situation, the defect of which kind of type more often occurs, thereby can carry out defect early warning. Power equipments defectData are that power equipments defect data and power equipment account data are entered with the associated of power equipment account dataRow is associated, so just can find all kinds of defects of all kinds of power equipments and power equipment producer, weather, geographyRelation between environment, live load, and then be conducive to power equipment maintenance, power equipment type selecting, electric powerThe formulations of equipment technological transformation and repair schedule etc., can more effectively control power equipment risk, improve electricityThe power equipment general level of the health.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed,But can not therefore be interpreted as the restriction to the scope of the claims of the present invention. It should be pointed out that for this areaThose of ordinary skill, without departing from the inventive concept of the premise, can also make some distortion andImprove, these all belong to protection scope of the present invention. Therefore, the protection domain of patent of the present invention should be with appendedClaim is as the criterion.
Claims (7)
1. power equipments defect detects a maintaining method, it is characterized in that, comprises the following steps:
Obtain property parameters, running environment parameter and the equipment status parameter of power equipment;
According to the property parameters of described power equipment, running environment parameter and equipment status parameter, generate toolHave the configuration file of pre-determined text form, wherein, described text formatting is XML;
Described configuration file is carried out to text word segmentation processing;
According to default screening keyword, described configuration file is carried out to stop words screening;
Described configuration file after screening is set up to word bag pattern;
According to institute's predicate bag pattern selected characteristic word, set up characteristic vector model;
According to default keyword, each characteristic vector model is mated, if described characteristic vector mouldIn type, there is corresponding keyword, this power equipment is matched to the defect type that described keyword is corresponding;Wherein, every kind of defect type and one or more keyword have default corresponding relation;
According to the defect type of described power equipment obtaining, to described power equipment carry out defect early warning and/Or safeguard.
2. power equipments defect as claimed in claim 1 detects maintaining method, it is characterized in that described electricityThe property parameters of power equipment comprises: producer, model, electric pressure and the operation time limit of power equipment; InstituteThe running environment parameter of stating power equipment comprises: the infield of power equipment, humiture, meteorology and negativeLotus; Described equipment status parameter comprises: whether defect or test of power equipment.
3. power equipments defect as claimed in claim 2 detects maintaining method, it is characterized in that, according to obtainingThe defect type of the described power equipment obtaining, to the step of carrying out defect early warning and/or maintenance of described power equipmentSuddenly comprise:
According to the operation time limit of power equipment and the defect type of described correspondence, obtain the defect of power equipmentRate, with the rule that changes of growth of the operation time limit, is obtained the growth of defect pattern of power equipment;
According to the growth of defect pattern of the actual motion time limit of power equipment and described power equipment, to describedPower equipment carry out defect early warning and/or maintenance.
4. power equipments defect as claimed in claim 2 detects maintaining method, it is characterized in that, according to obtainingThe defect type of the described power equipment obtaining, to the step of carrying out defect early warning and/or maintenance of described power equipmentSuddenly comprise:
According to the defect type of the producer of power equipment, electric pressure and described correspondence, obtain different manufacturersThe corresponding relation of the ratio of defects of the power equipment of the each electric pressure generating;
According to the producer of power equipment reality, electric pressure, to described power equipment carry out defect early warning and/Or safeguard.
5. power equipments defect as claimed in claim 2 detects maintaining method, it is characterized in that, according to obtainingThe defect type of the described power equipment obtaining, to the step of carrying out defect early warning and/or maintenance of described power equipmentSuddenly comprise:
According to the defect type of the load condition of power equipment and described correspondence, obtain the defect of power equipmentIncidence relation between type, ratio of defects and its load;
According to the actual load of power equipment, described power equipment carried out to defect early warning and/or maintenance.
6. power equipments defect as claimed in claim 2 detects maintaining method, it is characterized in that, according to obtainingThe defect type of the described power equipment obtaining, to the step of carrying out defect early warning and/or maintenance of described power equipmentSuddenly comprise:
According to the defect type of the infield of power equipment, humiture, meteorology and described correspondence, obtainSeason in the ratio of defects of power equipment and power equipment running environment, the incidence relation in area;
According to the actual motion environment of power equipment, described power equipment carried out to defect early warning and/or maintenance.
7. the power equipments defect as described in claim 1 to 6 any one detects maintaining method, its featureBe, according to default keyword, each characteristic vector model mated, if described characteristic vectorIn model, there is corresponding keyword, this power equipment is matched to the defect type that described keyword is correspondingStep comprise:
Obtain the default defect type table of comparisons, pre-recorded in the wherein said defect type table of comparisons have every kindThe corresponding relation of defect type and one or more keywords;
According to thering is the defect type table of comparisons described in corresponding keyword search in described characteristic vector model, obtainDefect type that must be corresponding with described keyword.
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Address after: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Applicant after: ELECTRIC POWER RESEARCH INSTITUTE, GUANGDONG POWER GRID CO., LTD. Applicant after: China Real-time Technology Co., Ltd. Address before: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Applicant before: Electrical Power Research Institute of Guangdong Power Grid Corporation Applicant before: China Real-time Technology Co., Ltd. |
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