CN109342856A - A kind of Repair of Transformer method - Google Patents

A kind of Repair of Transformer method Download PDF

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Publication number
CN109342856A
CN109342856A CN201811460635.4A CN201811460635A CN109342856A CN 109342856 A CN109342856 A CN 109342856A CN 201811460635 A CN201811460635 A CN 201811460635A CN 109342856 A CN109342856 A CN 109342856A
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transformer
data
acquisition
equipment
oil
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史少锋
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Housings And Mounting Of Transformers (AREA)
  • Testing Relating To Insulation (AREA)
  • Testing Electric Properties And Detecting Electric Faults (AREA)

Abstract

The invention discloses a kind of Repair of Transformer methods, comprising the following steps: S1 carries out data classification to transformer existing equipment status information, establishes Repair of Transformer data platform;S2, carries out Data Detection to transformer by special inspecting equipment, is acquired using mobile terminal to the transformer detection data overhauled;The data of acquisition are transferred to remote server by wireless network or cable network by S3, mobile terminal;S4, remote server is differentiated by state vs according to the acquisition data received and FAQs is overhauled model and assessed the safe condition of transformer, and is provided corresponding maintenance and suggested;Server concludes the information of acquisition, and output parameter change curve, carries out device parameter archival storage.The present invention improves overhaul of the equipments efficiency, has ensured equipment operational safety;Storage of filing is carried out to device parameter, so that the operation data of equipment can inquire retrospect.

Description

A kind of Repair of Transformer method
Technical field
The present invention relates to transformer equipment field more particularly to a kind of Repair of Transformer methods.
Background technique
Transformer is the device for changing alternating voltage using the principle of electromagnetic induction, and main member is primary coil, secondary Grade coil and iron core.Major function has: voltage transformation, current transformation, impedance transformation, isolation, pressure stabilizing etc.;It can divide by purposes Are as follows: power transformer and special transformer.Transformer is one of the capital equipment in power transmission and transforming equipment.
Existing transformer equipment fault information acquisition degree is not high, and the information of acquisition cannot be effectively treated, cannot be timely It was found that failure and maintenance, bring larger harm to equipment operational safety.
Summary of the invention
Present invention aim to address above-mentioned deficiencies, provide a kind of Repair of Transformer method.
A kind of Repair of Transformer method provided by the invention, which comprises the following steps:
S1 carries out data classification to transformer existing equipment status information, establishes Repair of Transformer data platform;
S2, carries out Data Detection to transformer by special inspecting equipment, is detected using mobile terminal to the transformer overhauled Data acquisition;
The data of acquisition are transferred to remote server by wireless network or cable network by S3, mobile terminal;
S4, remote server is according to the acquisition data received, and historical data in combined data platform is sentenced by state vs The safe condition of transformer is not assessed with FAQs maintenance model, and provides corresponding maintenance and suggests;
S5, remote server suggest assessment result, maintenance to be sent to mobile terminal by wireless network or cable network;
S6, field service personnel suggest overhauling transformer according to the assessment result of mobile terminal, maintenance, and to transformer Subsequent corresponding operating is made, ensures the safe operation of transformer;
S7, server conclude the information of acquisition, and output parameter change curve, carry out device parameter archival storage.
Further, data classification is carried out to transformer specialization inspecting state information in step S1, and be divided into following several Class:
S101, historical data: the Technique performance parameter of transformer, exfactory inspection data, check data, maintenance record, event Barrier record, these data informations put into operation as transformer before base state parameter;
S102, operation data: transformer exception noise, transformer in transformer load, oil temperature data, sealing and leakage, operation Near region shorting data, transformer relay protecting data, operation data are the records of running state of transformer, and operating status is directly closed It is service life and the ageing state of transformer;
S103, preventive trial data: Insulation Resistance of Transformer, industrial frequency AC pressure resistance data, preventive trial data can be anti- The various features of transformer are reflected, for finding the hidden danger of transformer in operation, accident or equipment damage occur for prevention;
S104, online monitoring data: oil dissolved gas online monitoring data, partial discharge monitoring data.
Further, data on the spot are carried out to the transformer overhauled using mobile terminal in step S2 to acquire, is acquired Data include:
S201, transformer and its component facade check data;Visual examination data include sound size, smell normally whether, become Depressor tank envelope heating temperature and transformer external protector normally whether, whether oil conservater oil level normal, gas relay Whether having gas, tank body of oil tank in device, whether there is or not leakage phenomenons and lead to be connected with non-loosening, discoloration, and combines the data obtained Data or historical record are judged and are analyzed, and complete transformer and its component facade checks the acquisition of data;
S202, transformer core, clamp earthing current test data;Large-scale power transformer should keep iron core one when operating normally Point good earth, once normal operation and service life that multipoint earth faults will directly threaten transformer occurs, real-time monitoring The variation of transformer core and clamp earthing current;Substation field can be by manually being connect using ammeter to iron core, folder Earth-current measures carry out data collection;
S203, transformer and its infrared accurate temperature measurement data of component;Pass through the realization pair of far infrared temperature measurer in substation field The accurate thermometric of transformer and its component;
S204, ultrasonic wave partial discharge monitoring and location data;Supersonic sensing is installed near power equipment shell or equipment Device couples the ultrasonic signal, it can be determined that the shelf depreciation situation of power equipment, and then reflect the insulation shape of equipment indirectly Condition;In substation field by monitoring and positioning of the shelf depreciation localization by ultrasonic instrument to transformer inner discharge, acquisition is related Data;
S205, transformer oil routine and chromatogram analysis data;Dielectric oil dielectrical strength tester, oil can be passed through in substation field The equipment such as dielectric loss tester and full-automatic gas chromatography realize the acquisition to transformer oil routine and chromatogram analysis data;
S206, transformer anti-short circuit capability verify data.
Further, safe condition described in step S4 is assessed differentiation process the following steps are included:
S401 monitors transformer to be measured on-line, obtains the measured value of power transformer indices;
S402 carries out initialization process to measurement result and quantifies according to state evaluation system;
S403 differentiates and overhauls the evaluation result that model acquires sample data according to Power Transformer Condition;
S404 differentiates and is overhauled according to Power Transformer Condition the assessment result of model, determines Operation Condition of Power Transformers simultaneously It is proposed that corresponding maintenance is suggested.
The present invention carries out the transformer used to establish data management platform, is acquired to the operation data of transformer, And compared by platform operation, the suggestion of back-to-back running repair based on condition of component is referred to for field service personnel, improves overhaul of the equipments efficiency, is protected Equipment operational safety is hindered;Storage of filing is carried out to device parameter, so that the operation data of equipment can inquire retrospect, improves transformation Device running quality management level extends transformer service life.
Specific embodiment
Below by embodiment to further instruction of the present invention, the embodiment of the present invention is with technical solution of the present invention Premised under implemented, the detailed implementation method and specific operation process are given, but protection scope of the present invention is unlimited In following embodiments:
A kind of Repair of Transformer method, comprising the following steps:
S1 carries out data classification to transformer existing equipment status information, establishes Repair of Transformer data platform;Equipment state letter Breath is divided into following a few classes:
S101, historical data: the Technique performance parameter of transformer, exfactory inspection data, check data, maintenance record, event Barrier record, these data informations put into operation as transformer before base state parameter;
S102, operation data: transformer exception noise, transformer in transformer load, oil temperature data, sealing and leakage, operation Near region shorting data, transformer relay protecting data, operation data are the records of running state of transformer, and operating status is directly closed It is service life and the ageing state of transformer;
S103, preventive trial data: Insulation Resistance of Transformer, industrial frequency AC pressure resistance data, preventive trial data can be anti- The various features of transformer are reflected, for finding the hidden danger of transformer in operation, accident or equipment damage occur for prevention;
S104, online monitoring data: oil dissolved gas online monitoring data, partial discharge monitoring data;
S2, carries out Data Detection to transformer by special inspecting equipment, is detected using mobile terminal to the transformer overhauled Data acquisition;Data collected include:
S201, transformer and its component facade check data;Visual examination data include sound size, smell normally whether, become Depressor tank envelope heating temperature and transformer external protector normally whether, whether oil conservater oil level normal, gas relay Whether having gas, tank body of oil tank in device, whether there is or not leakage phenomenons and lead to be connected with non-loosening, discoloration, and combines the data obtained Data or historical record are judged and are analyzed, and complete transformer and its component facade checks the acquisition of data;
S202, transformer core, clamp earthing current test data;Large-scale power transformer should keep iron core one when operating normally Point good earth, once normal operation and service life that multipoint earth faults will directly threaten transformer occurs, real-time monitoring The variation of transformer core and clamp earthing current;Substation field can be by manually being connect using ammeter to iron core, folder Earth-current measures carry out data collection;
S203, transformer and its infrared accurate temperature measurement data of component;Pass through the realization pair of far infrared temperature measurer in substation field The accurate thermometric of transformer and its component;
S204, ultrasonic wave partial discharge monitoring and location data;Supersonic sensing is installed near power equipment shell or equipment Device couples the ultrasonic signal, it can be determined that the shelf depreciation situation of power equipment, and then reflect the insulation shape of equipment indirectly Condition;In substation field by monitoring and positioning of the shelf depreciation localization by ultrasonic instrument to transformer inner discharge, acquisition is related Data;
S205, transformer oil routine and chromatogram analysis data;Dielectric oil dielectrical strength tester, oil can be passed through in substation field The equipment such as dielectric loss tester and full-automatic gas chromatography realize the acquisition to transformer oil routine and chromatogram analysis data;
S206, transformer anti-short circuit capability verify data;
The data of acquisition are transferred to remote server by wireless network or cable network by S3, mobile terminal;
S4, remote server is according to the acquisition data received, and historical data in combined data platform is sentenced by state vs The safe condition of transformer is not assessed with FAQs maintenance model, and provides corresponding maintenance and suggests;Safe condition The differentiation process assessed the following steps are included:
S401 monitors transformer to be measured on-line, obtains the measured value of power transformer indices;
S402 carries out initialization process to measurement result and quantifies according to state evaluation system;
S403 differentiates and overhauls the evaluation result that model acquires sample data according to Power Transformer Condition;
S404 differentiates and is overhauled according to Power Transformer Condition the assessment result of model, determines Operation Condition of Power Transformers simultaneously It is proposed that corresponding maintenance is suggested;
S5, remote server suggest assessment result, maintenance to be sent to mobile terminal by wireless network or cable network;
S6, field service personnel suggest overhauling transformer according to the assessment result of mobile terminal, maintenance, and to transformer Subsequent corresponding operating is made, ensures the safe operation of transformer;
S7, server conclude the information of acquisition, and output parameter change curve, carry out device parameter archival storage.
Specific embodiment described herein is only an example for the spirit of the invention.The neck of technology belonging to the present invention The technical staff in domain can make various modifications or additions to the described embodiments or replace by a similar method In generation, however, it does not deviate from the spirit of the invention or beyond the scope of the appended claims.

Claims (4)

1. a kind of Repair of Transformer method, which is characterized in that by steps are as follows:
S1 carries out data classification to transformer existing equipment status information, establishes Repair of Transformer data platform;
S2, carries out Data Detection to transformer by special inspecting equipment, is detected using mobile terminal to the transformer overhauled Data acquisition;
The data of acquisition are transferred to remote server by wireless network or cable network by S3, mobile terminal;
S4, remote server is according to the acquisition data received, and historical data in combined data platform is sentenced by state vs The safe condition of transformer is not assessed with FAQs maintenance model, and provides corresponding maintenance and suggests;
S5, remote server suggest assessment result, maintenance to be sent to mobile terminal by wireless network or cable network;
S6, field service personnel suggest overhauling transformer according to the assessment result of mobile terminal, maintenance, and to transformer Subsequent corresponding operating is made, ensures the safe operation of transformer;
S7, server conclude the information of acquisition, and output parameter change curve, carry out device parameter archival storage.
2. a kind of Repair of Transformer method as described in claim 1, it is characterised in that: examined in step S1 to transformer specialization It repairs status information and carries out data classification, and be divided into following a few classes:
S101, historical data: the Technique performance parameter of transformer, exfactory inspection data, check data, maintenance record, event Barrier record, these data informations put into operation as transformer before base state parameter;
S102, operation data: transformer exception noise, transformer in transformer load, oil temperature data, sealing and leakage, operation Near region shorting data, transformer relay protecting data, operation data are the records of running state of transformer, and operating status is directly closed It is service life and the ageing state of transformer;
S103, preventive trial data: Insulation Resistance of Transformer, industrial frequency AC pressure resistance data, preventive trial data can be anti- The various features of transformer are reflected, for finding the hidden danger of transformer in operation, accident or equipment damage occur for prevention;
S104, online monitoring data: oil dissolved gas online monitoring data, partial discharge monitoring data.
3. a kind of Repair of Transformer method as described in claim 1, it is characterised in that: using mobile terminal to quilt in step S2 The transformer of maintenance carries out data on the spot and acquires, and data collected include:
S201, transformer and its component facade check data;Visual examination data include sound size, smell normally whether, become Depressor tank envelope heating temperature and transformer external protector normally whether, whether oil conservater oil level normal, gas relay Whether having gas, tank body of oil tank in device, whether there is or not leakage phenomenons and lead to be connected with non-loosening, discoloration, and combines the data obtained Data or historical record are judged and are analyzed, and complete transformer and its component facade checks the acquisition of data;
S202, transformer core, clamp earthing current test data;Large-scale power transformer should keep iron core one when operating normally Point good earth, once normal operation and service life that multipoint earth faults will directly threaten transformer occurs, real-time monitoring The variation of transformer core and clamp earthing current;Substation field can be by manually being connect using ammeter to iron core, folder Earth-current measures carry out data collection;
S203, transformer and its infrared accurate temperature measurement data of component;Pass through the realization pair of far infrared temperature measurer in substation field The accurate thermometric of transformer and its component;
S204, ultrasonic wave partial discharge monitoring and location data;Supersonic sensing is installed near power equipment shell or equipment Device couples the ultrasonic signal, it can be determined that the shelf depreciation situation of power equipment, and then reflect the insulation shape of equipment indirectly Condition;In substation field by monitoring and positioning of the shelf depreciation localization by ultrasonic instrument to transformer inner discharge, acquisition is related Data;
S205, transformer oil routine and chromatogram analysis data;Dielectric oil dielectrical strength tester, oil can be passed through in substation field The equipment such as dielectric loss tester and full-automatic gas chromatography realize the acquisition to transformer oil routine and chromatogram analysis data;
S206, transformer anti-short circuit capability verify data.
4. a kind of Repair of Transformer method as described in claim 1, it is characterised in that: safe condition described in step S4 carries out The differentiation process of assessment the following steps are included:
S401 monitors transformer to be measured on-line, obtains the measured value of power transformer indices;
S402 carries out initialization process to measurement result and quantifies according to state evaluation system;
S403 differentiates and overhauls the evaluation result that model acquires sample data according to Power Transformer Condition;
S404 differentiates and is overhauled according to Power Transformer Condition the assessment result of model, determines Operation Condition of Power Transformers simultaneously It is proposed that corresponding maintenance is suggested.
CN201811460635.4A 2018-12-01 2018-12-01 A kind of Repair of Transformer method Pending CN109342856A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111311047A (en) * 2019-11-29 2020-06-19 国网河南省电力公司汝阳县供电公司 A method, device and electronic device for equipment condition maintenance based on Internet of Things
CN112290432A (en) * 2020-10-10 2021-01-29 苏州中康电力运营有限公司 Transformer overhauling method
CN113515842A (en) * 2021-04-16 2021-10-19 西安热工研究院有限公司 A method and system for life evaluation of large generators

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102955145A (en) * 2012-10-26 2013-03-06 湖北省电力公司电力科学研究院 Running state simulation monitoring system for transformer
CN103199621A (en) * 2013-03-07 2013-07-10 安徽省电力公司芜湖供电公司 On-line monitoring networking of power transformer of intelligent substation
CN104181427A (en) * 2014-08-29 2014-12-03 广州电力设计院 Online monitoring system of intelligent substation transformer
CN107271806A (en) * 2017-05-02 2017-10-20 山东电力设备有限公司 Data analysis system applied to the professional inspection of transformer
CN108614170A (en) * 2018-04-28 2018-10-02 国网山东省电力公司淄博供电公司 A kind of power transformer synthesis monitor system
CN108776804A (en) * 2018-04-24 2018-11-09 山东电力设备有限公司 A kind of transformer specialization repair method based on portable terminal
CN110299758A (en) * 2018-03-22 2019-10-01 四方特变电工智能电气有限公司 A kind of comprehensive on-line monitoring and diagnosis system of substation

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102955145A (en) * 2012-10-26 2013-03-06 湖北省电力公司电力科学研究院 Running state simulation monitoring system for transformer
CN103199621A (en) * 2013-03-07 2013-07-10 安徽省电力公司芜湖供电公司 On-line monitoring networking of power transformer of intelligent substation
CN104181427A (en) * 2014-08-29 2014-12-03 广州电力设计院 Online monitoring system of intelligent substation transformer
CN107271806A (en) * 2017-05-02 2017-10-20 山东电力设备有限公司 Data analysis system applied to the professional inspection of transformer
CN110299758A (en) * 2018-03-22 2019-10-01 四方特变电工智能电气有限公司 A kind of comprehensive on-line monitoring and diagnosis system of substation
CN108776804A (en) * 2018-04-24 2018-11-09 山东电力设备有限公司 A kind of transformer specialization repair method based on portable terminal
CN108614170A (en) * 2018-04-28 2018-10-02 国网山东省电力公司淄博供电公司 A kind of power transformer synthesis monitor system

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111311047A (en) * 2019-11-29 2020-06-19 国网河南省电力公司汝阳县供电公司 A method, device and electronic device for equipment condition maintenance based on Internet of Things
CN112290432A (en) * 2020-10-10 2021-01-29 苏州中康电力运营有限公司 Transformer overhauling method
CN113515842A (en) * 2021-04-16 2021-10-19 西安热工研究院有限公司 A method and system for life evaluation of large generators

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Application publication date: 20190215