CN110426577A - Transformer equipment state evaluating method, server and system - Google Patents
Transformer equipment state evaluating method, server and system Download PDFInfo
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- CN110426577A CN110426577A CN201910694062.XA CN201910694062A CN110426577A CN 110426577 A CN110426577 A CN 110426577A CN 201910694062 A CN201910694062 A CN 201910694062A CN 110426577 A CN110426577 A CN 110426577A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Abstract
The disclosure provides a kind of transformer equipment state evaluating method and server, is related to field of electrical equipment, which comprises obtain the detection subitem data of at least one corresponding detection of the transformer equipment；Wherein, the detection includes at least the combination of following one or more: tap switch, non-ionizing energy loss, ontology, casing and cooling system；Each detection corresponds at least one detection subitem；According to each detection subitem data, the corresponding basis deduction of points score value of each detection subitem data is obtained according to the first preset rules；According to each total penalties number for detecting each detection described in the corresponding basis deduction of points score value of subitem data and default weight calculation and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection；The state of the transformer equipment is determined according to the total penalties number of each detection and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection.
Description
Technical field
This disclosure relates to field of electrical equipment more particularly to a kind of transformer equipment state evaluating method, server and be
System.
Background technique
Transformer equipment type in power distribution room is more, is also equipped with various online acquisition dresses on transformer equipment at present
It sets: such as partial discharge monitoring, in-cabinet temperature monitoring.Each platform is relatively independent, data are dispersed, data do not do normalized (data
It is attributed to same timestamp, the same equipment of ownership), once transformer equipment goes wrong, then the timeliness of anti-data when interrogating topic
Property, accuracy and the property of can refer to it is weaker, to transformer equipment state do evaluation comparison difficulty.
Summary of the invention
The embodiment of the present disclosure provides a kind of transformer equipment state evaluating method and device, is able to solve existing to transformer
Equipment state does the problem of evaluation comparison difficulty.The technical solution is as follows:
According to the first aspect of the embodiments of the present disclosure, a kind of transformer equipment state evaluating method is provided, this method comprises:
Obtain the detection subitem data of at least one corresponding detection of the transformer equipment；Wherein, the detection
Including at least the combination of following one or more: tap switch, non-ionizing energy loss, ontology, casing and cooling system；Each detection
At least one corresponding detection subitem of item；
According to each detection subitem data, the corresponding basis of each detection subitem data is obtained according to the first preset rules and is detained
Divide score value；
According to each detection described in each corresponding basis deduction of points score value of detection subitem data and default weight calculation
Total penalties number and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection；
According to the total penalties number of each detection and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection
Determine the state of the transformer equipment.
In one embodiment, sub- detection pair is corresponded to according to the total penalties number of each detection and each detection
The individual event deduction of points number answered determines that the state of the transformer equipment includes:
The corresponding individual event deduction of points number of sub- detection is corresponded to according to the total penalties number of each detection and each detection,
The detecting state of each detection is determined according to the second preset rules；
The state of the transformer equipment is determined according to third preset rules according to the detecting state of each detection.
In one embodiment, detection is tap switch detection, the corresponding detection subitem data of the tap switch
Including at least one of:
Loaded tap switch oil position inspection data, load ratio bridging switch respirator inspection data, load ratio bridging switch tap
Position inspection data, load ratio bridging switch leakage inspection data, load ratio bridging switch switching times operation data, loaded tap-off are opened
It closes and previous maintenance interval operation data, on-line oil filter device of on-load tap-changer operation data, load ratio bridging switch driver
Structure operation data, load ratio bridging switch limiting device failure operation data, load ratio bridging switch slide piece operation data, loaded tap-off
Switch control circuit operation data, load ratio bridging switch acting characteristic test data, loaded tap switch oil resistance test data,
Off circuit tap changer operating mechanism and gear operation data, off circuit tap changer thermometer test/inspection data, without excitation
Tap switch oil level indicating gage test/inspection data, off circuit tap changer pressure relief valve test/inspection data, without excitation
Tap switch gas relay test/inspection data opens thermometer test/inspection data without excitation tap.
In one embodiment, detection is non-ionizing energy loss detection, the corresponding inspection of the non-ionizing energy loss detection
Surveying subitem data includes at least one of:
Non-ionizing energy loss thermometer inspection/test data, non-ionizing energy loss oil level indicating gage inspection/test data, non-electrical
Amount protection pressure relief valve inspection/test data, non-ionizing energy loss gas relay inspection/test data.
In one embodiment, detection is ontology detection, the corresponding detection subitem data packet of the ontology detection
Include at least one of:
Net the fault data of factory, net type, equipment, body short electric current/number operation data, the accumulative fortune of body short impact
Row data, ontology transformer overload operation data, ontology overexcited operation data, ontology conservator sealing element data, ontology
Oil conservater oil level data, ontology permeability inspection data, ontology oil leak inspection data, this bulk noise and vibration inspection data, ontology
Surface corrosion inspection data, ontology respirator inspection data, this running body oil temperature inspection data, the test of ontology winding D.C. resistance
Data, ontology winding dissipation factor test data, ontology capacitance test data, ontology core insulation test data, around
Group frequency response testing experiment data, body short impedance experiments data.
In one embodiment, detection is pipe sleeve detection, the corresponding detection subitem data packet of the pipe sleeve detection
Include at least one of:
Pipe sleeve external insulation inspection data, pipe sleeve appearance inspection data and pipe sleeve oil level indicate inspection data.
In one embodiment, detection is cooling system detection, corresponding detection of the cooling system detection
Item data includes at least one of:
Cooling system motor operation inspection data, cooling system cooling device control system inspection data, cooling system are cold
But device radiation effect inspection data, cooling system water-cooling but device inspection data, cooling system permeability inspection data and cooling system
System oil leak inspection data.
In one embodiment, according to each detection subitem data, each detection is obtained respectively according to the first preset rules
The corresponding deduction of points score value of subitem data includes:
According to each detection subitem data, each detection subitem data pair are inquired in preset each check item score list
The deduction of points score value answered, wherein the corresponding detection subitem data of each detection and basis button are prestored in the check item score list
Divide the corresponding relationship of score value.
In one embodiment, it is deducted points according to the total penalties number of each detection and the corresponding individual event of the sub- detection
Number, the detecting state for judging the detection according to the second preset rules include:
When the total penalties number of the detection is not more than the first detection threshold value, and the corresponding individual event button of the sub- detection
When score is not more than the first sub- detection threshold value, determine that the detecting state of the detection is normal condition；
When the total penalties number of the detection is between the first detection threshold value and the second detection threshold value, and the sub- inspection
The corresponding individual event deduction of points number of item is surveyed between the first sub- detection threshold value and the second sub- detection threshold value, determines the detection
Detecting state is attention state；
When the detection corresponding individual event deduction of points number is between the second sub- detection threshold value and the sub- detection threshold value of third,
The detecting state for determining the detection is abnormality；
When the detection corresponding individual event deduction of points number is greater than between the sub- detection threshold value of third, the detection is determined
Detecting state is severe conditions.
In one embodiment, the change is determined according to third preset rules according to the detecting state of each detection
The state of depressor equipment includes:
When the detecting state of at least one detection is severe conditions, determine that the transformer equipment state is serious shape
State；
When the detecting state of all detections is not severe conditions, and at least one detection detecting state is abnormal
When state, determine that the transformer equipment state is abnormality；
When the detecting state of all detections is not severe conditions and is not abnormality, and at least one detection
When detecting state is attention state, determine that really the transformer equipment state is attention state；
When the detecting state of all detections is normal condition, determine that the transformer equipment state is normal condition.
In one embodiment, the above method further include:
Corresponding O&M strategy is provided according to the transformer equipment state.
According to the second aspect of an embodiment of the present disclosure, a kind of server is provided, which includes:
Data acquisition module, for obtaining the detection subitem number of at least one corresponding detection of the transformer equipment
According to；Wherein, the detection includes at least the combination of following one or more: tap switch, non-ionizing energy loss, ontology, casing
And cooling system；Each detection corresponds at least one detection subitem；
Score value obtains module, for obtaining each detection according to the first preset rules according to each detection subitem data
The corresponding basis deduction of points score value of item data；
Computing module, for according to the corresponding basic deduction of points score value of each detection subitem data and default weight calculation institute
State the total penalties number and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection of each detection；
Determining module, for corresponding according to the total penalties number and the corresponding detection subitem of each detection of each detection
Individual event deduction of points number determine the state of the transformer equipment.
In one embodiment, determining module includes:
First determines submodule, for according to the total penalties number of each detection and corresponding detection of each detection
The corresponding individual event deduction of points number of item, the detecting state of each detection is determined according to the second preset rules；
Second determines submodule, for determining institute according to third preset rules according to the detecting state of each detection
State the state of transformer equipment.
In one embodiment, detection is tap switch detection, the corresponding detection subitem data of the tap switch
Including at least one of:
Loaded tap switch oil position inspection data, load ratio bridging switch respirator inspection data, load ratio bridging switch tap
Position inspection data, load ratio bridging switch leakage inspection data, load ratio bridging switch switching times operation data, loaded tap-off are opened
It closes and previous maintenance interval operation data, on-line oil filter device of on-load tap-changer operation data, load ratio bridging switch driver
Structure operation data, load ratio bridging switch limiting device failure operation data, load ratio bridging switch slide piece operation data, loaded tap-off
Switch control circuit operation data, load ratio bridging switch acting characteristic test data, loaded tap switch oil resistance test data,
Off circuit tap changer operating mechanism and gear operation data, off circuit tap changer thermometer test/inspection data, without excitation
Tap switch oil level indicating gage test/inspection data, off circuit tap changer pressure relief valve test/inspection data, without excitation
Tap switch gas relay test/inspection data opens thermometer test/inspection data without excitation tap.
In one embodiment, detection is non-ionizing energy loss detection, the corresponding inspection of the non-ionizing energy loss detection
Surveying subitem data includes at least one of:
Non-ionizing energy loss thermometer inspection/test data, non-ionizing energy loss oil level indicating gage inspection/test data, non-electrical
Amount protection pressure relief valve inspection/test data, non-ionizing energy loss gas relay inspection/test data.
In one embodiment, detection is ontology detection, the corresponding detection subitem data packet of the ontology detection
Include at least one of:
Net the fault data of factory, net type, equipment, body short electric current/number operation data, the accumulative fortune of body short impact
Row data, ontology transformer overload operation data, ontology overexcited operation data, ontology conservator sealing element data, ontology
Oil conservater oil level data, ontology permeability inspection data, ontology oil leak inspection data, this bulk noise and vibration inspection data, ontology
Surface corrosion inspection data, ontology respirator inspection data, this running body oil temperature inspection data, the test of ontology winding D.C. resistance
Data, ontology winding dissipation factor test data, ontology capacitance test data, ontology core insulation test data, around
Group frequency response testing experiment data, body short impedance experiments data.
In one embodiment, detection is pipe sleeve detection, the corresponding detection subitem data packet of the pipe sleeve detection
Include at least one of:
Pipe sleeve external insulation inspection data, pipe sleeve appearance inspection data and pipe sleeve oil level indicate inspection data.
In one embodiment, detection is cooling system detection, corresponding detection of the cooling system detection
Item data includes at least one of:
Cooling system motor operation inspection data, cooling system cooling device control system inspection data, cooling system are cold
But device radiation effect inspection data, cooling system water-cooling but device inspection data, cooling system permeability inspection data and cooling system
System oil leak inspection data.
In one embodiment, score value obtains module and is specifically used for:
According to each detection subitem data, it is corresponding that each detection subitem data are inquired in preset check item score list
Deduction of points score value, wherein the corresponding detection subitem data of each detection and basis deduction of points are prestored in the check item score list
The corresponding relationship of score value.
In one embodiment, first determine that submodule is specifically used for:
When the total penalties number of the detection is not more than the first detection threshold value, and the corresponding individual event button of the sub- detection
When score is no more than the first detection subitem threshold value, determine that the detecting state of the detection is normal condition；
When the total penalties number of the detection is between the first detection threshold value and the second detection threshold value, and the sub- inspection
The corresponding individual event deduction of points number of item is surveyed between the first sub- detection threshold value and the second sub- detection threshold value, determines the detection
Detecting state is attention state；
When the detection corresponding individual event deduction of points number is between the second sub- detection threshold value and the sub- detection threshold value of third,
The detecting state for determining the detection is abnormality；
When the detection corresponding individual event deduction of points number is greater than between the sub- detection threshold value of third, the detection is determined
Detecting state is severe conditions.
In one embodiment, second determine that submodule is specifically used for:
When the detecting state of at least one detection is severe conditions, determine that the transformer equipment state is serious shape
State；
When the detecting state of all detections is not severe conditions, and at least one detection detecting state is abnormal
When state, determine that the transformer equipment state is abnormality；
When the detecting state of all detections is not severe conditions and is not abnormality, and at least one detection
When detecting state is attention state, determine that really the transformer equipment state is attention state；
When the detecting state of all detections is normal condition, determine that the transformer equipment state is normal condition.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the disclosure
Example, and together with specification for explaining the principles of this disclosure.
Fig. 1 is a kind of flow chart for transformer equipment state evaluating method that the embodiment of the present disclosure provides；
Fig. 2 is the state flow chart that the embodiment of the present disclosure determines the transformer equipment；
Fig. 3 is a kind of server rack composition that the embodiment of the present disclosure provides；
Fig. 4 is a kind of server rack composition that the embodiment of the present disclosure provides；
Fig. 5 is embodiment of the present disclosure detection subitem data source schematic diagram.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all implementations consistent with this disclosure.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the disclosure.
The embodiment of the present disclosure provides a kind of transformer equipment state evaluating method, as shown in Figure 1, the transformer equipment state
Appraisal procedure the following steps are included:
Step 101, the detection subitem data for obtaining at least one corresponding detection of the transformer equipment；
Wherein, the detection include at least following one or more combination: tap switch, non-ionizing energy loss, ontology,
Casing and cooling system；Each detection corresponds at least one detection subitem.
Step 102, according to each detection subitem data, obtain each detection subitem data correspondence according to the first preset rules
Basis deduction of points score value；
In one embodiment, detection is tap switch detection, the corresponding detection subitem data of the tap switch
Including at least one of:
Loaded tap switch oil position inspection data, load ratio bridging switch respirator inspection data, load ratio bridging switch tap
Position inspection data, load ratio bridging switch leakage inspection data, load ratio bridging switch switching times operation data, loaded tap-off are opened
It closes and previous maintenance interval operation data, on-line oil filter device of on-load tap-changer operation data, load ratio bridging switch driver
Structure operation data, load ratio bridging switch limiting device failure operation data, load ratio bridging switch slide piece operation data, loaded tap-off
Switch control circuit operation data, load ratio bridging switch acting characteristic test data, loaded tap switch oil resistance test data,
Off circuit tap changer operating mechanism and gear operation data, off circuit tap changer thermometer test/inspection data, without excitation
Tap switch oil level indicating gage test/inspection data, off circuit tap changer pressure relief valve test/inspection data, without excitation
Tap switch gas relay test/inspection data opens thermometer test/inspection data without excitation tap.
According to each detection subitem data, the corresponding button of each detection subitem data is obtained respectively according to the first preset rules
Point score value includes:
According to each detection subitem data, each detection subitem data pair are inquired in preset tap switch score list
The deduction of points score value answered, wherein the corresponding detection subitem data of tap switch detection are prestored in the tap switch score list
With the corresponding relationship of basis deduction of points score value.
Illustratively, table 1 provides the corresponding basic deduction of points score value of tap switch detection detection subitem data and default power
Weight.
Table 1
In one embodiment, detection is non-ionizing energy loss detection, the corresponding inspection of the non-ionizing energy loss detection
Surveying subitem data includes at least one of:
Non-ionizing energy loss thermometer inspection/test data, non-ionizing energy loss oil level indicating gage inspection/test data, non-electrical
Amount protection pressure relief valve inspection/test data, non-ionizing energy loss gas relay inspection/test data.
According to each detection subitem data, the corresponding button of each detection subitem data is obtained respectively according to the first preset rules
Point score value includes:
According to each detection subitem data, each detection subitem data are inquired in preset non-ionizing energy loss score list
Corresponding deduction of points score value, wherein the corresponding detection subitem data of non-ionizing energy loss are prestored in the non-ionizing energy loss score list
With the corresponding relationship of basis deduction of points score value.
Illustratively, table 2 proposes the corresponding basic deduction of points score value of non-ionizing energy loss detection detection subitem data and default power
Weight.
Table 2
In one embodiment, detection is ontology detection, the corresponding detection subitem data packet of the ontology detection
Include at least one of:
Net the fault data of factory, net type, equipment, body short electric current/number operation data, the accumulative fortune of body short impact
Row data, ontology transformer overload operation data, ontology overexcited operation data, ontology conservator sealing element data, ontology
Oil conservater oil level data, ontology permeability inspection data, ontology oil leak inspection data, this bulk noise and vibration inspection data, ontology
Surface corrosion inspection data, ontology respirator inspection data, this running body oil temperature inspection data, the test of ontology winding D.C. resistance
Data, ontology winding dissipation factor test data, ontology capacitance test data, ontology core insulation test data, around
Group frequency response testing experiment data, body short impedance experiments data.
According to each detection subitem data, the corresponding button of each detection subitem data is obtained respectively according to the first preset rules
Point score value includes:
According to each detection subitem data, it is corresponding that each detection subitem data are inquired in preset ontology score list
Deduction of points score value, wherein prestore ontology detection in the ontology score list and correspond to detection subitem data and deduct points with basis and divide
The corresponding relationship of value.
Illustratively, table 3 provides the ontology detection detection corresponding basic deduction of points score value of subitem data and default weight.
Table 3
In one embodiment, detection is pipe sleeve detection, the corresponding detection subitem data packet of the pipe sleeve detection
Include at least one of:
Pipe sleeve external insulation inspection data, pipe sleeve appearance inspection data and pipe sleeve oil level indicate inspection data.
According to each detection subitem data, the corresponding button of each detection subitem data is obtained respectively according to the first preset rules
Point score value includes:
According to each detection subitem data, it is corresponding that each detection subitem data are inquired in preset pipe sleeve score list
Deduction of points score value, wherein prestore pipe sleeve detection in the pipe sleeve score list and correspond to detection subitem data and deduct points with basis and divide
The corresponding relationship of value.
Illustratively, table 4 provides the pipe sleeve detection detection corresponding basic deduction of points score value of subitem data and default weight.
Table 4
In one embodiment, detection is cooling system detection, corresponding detection of the cooling system detection
Item data includes at least one of:
Cooling system motor operation inspection data, cooling system cooling device control system inspection data, cooling system are cold
But device radiation effect inspection data, cooling system water-cooling but device inspection data, cooling system permeability inspection data and cooling system
System oil leak inspection data.
According to each detection subitem data, the corresponding button of each detection subitem data is obtained respectively according to the first preset rules
Point score value includes:
According to each detection subitem data, each detection subitem data pair are inquired in preset cooling system score list
The deduction of points score value answered, wherein the corresponding detection subitem data of cooling system detection are prestored in the cooling system score list
With the corresponding relationship of basis deduction of points score value.
Illustratively, table 5 provides the corresponding basic deduction of points score value of cooling system detection detection subitem data and default power
Weight.
Table 5
It is step 103, each according to the corresponding basis deduction of points score value of each detection subitem data and default weight calculation
The total penalties number of detection and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection；
Step 104, total penalties number and the corresponding list of the corresponding detection subitem of each detection according to each detection
Item deduction of points number determines the state of the transformer equipment.
Fig. 2 is the state flow chart that the embodiment of the present disclosure determines the transformer equipment, as shown in Fig. 2, according to each inspection
The total penalties number and each detection for surveying item correspond to the corresponding individual event deduction of points number of sub- detection and determine the transformer equipment
State include:
Step 1041 corresponds to the corresponding list of sub- detection according to the total penalties number and each detection of each detection
Item deduction of points number, the detecting state of each detection is determined according to the second preset rules；
In one embodiment, the total penalties number and the corresponding individual event button of the sub- detection according to each detection
Score, the detecting state for judging the detection according to the second preset rules include:
When the total penalties number of the detection is not more than the first detection threshold value, and the corresponding individual event button of the sub- detection
When score is not more than the first sub- detection threshold value, determine that the detecting state of the detection is normal condition；
When the total penalties number of the detection is between the first detection threshold value and the second detection threshold value, and the sub- inspection
The corresponding individual event deduction of points number of item is surveyed between the first sub- detection threshold value and the second sub- detection threshold value, determines the detection
Detecting state is attention state；
When the detection corresponding individual event deduction of points number is between the second sub- detection threshold value and the sub- detection threshold value of third,
The detecting state for determining the detection is abnormality；
When the detection corresponding individual event deduction of points number is greater than between the sub- detection threshold value of third, the detection is determined
Detecting state is severe conditions.
As table 6 it is exemplary shown in, detection is ontology check item, and the first detection threshold value is 30 points, the first detection subitem
Threshold value is 10 points, and the second detection subitem threshold value is 20 points, and it is 30 points that third, which detects subitem threshold value,.
Detection is casing check item, and the first detection threshold value is 20 points, and the first detection subitem threshold value is 10 points, the second inspection
Surveying subitem threshold value is 20 points, and it is 30 points that third, which detects subitem threshold value,.
Detection is cooling system check item, tap switch check item or non-ionizing energy loss check item, the first detection threshold
Value is 12 points, and the first detection subitem threshold value is 10 points, and the second detection subitem threshold value is 20 points, and it is 30 that third, which detects subitem threshold value,
Point.
Wherein, above-mentioned all threshold values can be adjusted according to concrete scene, and the disclosure is not intended to limit specific score.
Table 6
Step 1042 determines that the transformer is set according to third preset rules according to the detecting state of each detection
Standby state.
In one embodiment, the change is determined according to third preset rules according to the detecting state of each detection
The state of depressor equipment includes:
When the detecting state of at least one detection is severe conditions, determine that the transformer equipment state is serious shape
State；
When the detecting state of all detections is not severe conditions, and at least one detection detecting state is abnormal
When state, determine that the transformer equipment state is abnormality；
When the detecting state of all detections is not severe conditions and is not abnormality, and at least one detection
When detecting state is attention state, determine that really the transformer equipment state is attention state；
When the detecting state of all detections is normal condition, determine that the transformer equipment state is normal condition.
In one embodiment, the method also includes: provide corresponding O&M plan according to the transformer equipment state
Slightly.
Fig. 3 is a kind of server that the embodiment of the present disclosure provides, and server 30 as shown in Figure 3 includes:
Data acquisition module 301, for obtaining the detection subitem of at least one corresponding detection of the transformer equipment
Data；Wherein, the transformer equipment detection includes at least the combination of following one or more: infrared measurement of temperature detection becomes
Depressor equipment routing inspection detection, partial discharge detection item, transformer equipment operating parameter monitor detection；Each detection is corresponding at least
One detection subitem data；
Score value obtains module 302, for obtaining each detection according to the first preset rules according to each detection subitem data
The corresponding basis deduction of points score value of subitem data；
Computing module 303, based on according to each corresponding basis deduction of points score value of detection subitem data and default weight
The total penalties number and each detection for calculating each detection correspond to the corresponding individual event deduction of points number of sub- detection；
Determining module 304, for corresponding to sub- detection according to the total penalties number and each detection of each detection
Corresponding individual event deduction of points number determines the state of the transformer equipment.
Fig. 4 is a kind of server that the embodiment of the present disclosure provides, and server 40 as shown in Figure 4 includes:
Data acquisition module 401, score value obtain module 402, computing module 303, determining module 404, wherein determining module
404 include: the first determining submodule 4041, for the total penalties number and the corresponding son of each detection according to each detection
The corresponding individual event deduction of points number of detection, the detecting state of each detection is determined according to the second preset rules；
Second determines submodule 4042, for true according to third preset rules according to the detecting state of each detection
The state of the fixed transformer equipment.
In one embodiment, first determine that submodule 4041 is specifically used for:
When the total penalties number of the detection is not more than the first detection threshold value, and the corresponding individual event button of the detection subitem
When score is no more than the first detection subitem threshold value, determine that the detecting state of the detection is normal condition；
When the total penalties number of the detection is between the first detection threshold value and the second detection threshold value, and the detection
The corresponding individual event deduction of points number of subitem determines the detection between the first detection subitem threshold value and the second detection subitem threshold value
Detecting state is attention state；
When the detection corresponding individual event deduction of points number is between the second detection subitem threshold value and third detection subitem threshold value,
The detecting state for determining the detection is abnormality；
Subitem threshold value is detected when the corresponding individual event deduction of points number of the detection is greater than third, determines the detection of the detection
State is severe conditions.
In one embodiment, second determine that submodule 4042 is specifically used for:
When the detecting state of at least one detection is severe conditions, determine that the transformer equipment state is serious shape
State；
When the detecting state of all detections is not severe conditions, and at least one detection detecting state is abnormal
When state, determine that the transformer equipment state is abnormality；
When the detecting state of all detections is not severe conditions and is not abnormality, and at least one detection
When detecting state is attention state, determine that really the transformer equipment state is attention state；
When the detecting state of all detections is normal condition, determine that the transformer equipment state is normal condition.
The transformer equipment method for evaluating state of the disclosure, the son detection item number that background server is fed back according to each detection
According to doing overall merit to transformer equipment state in conjunction with certain low rule.Timeliness is higher, and accuracy and the property of can refer to are stronger.
Based on transformer equipment state evaluating method described in the corresponding embodiment of above-mentioned Fig. 1, the embodiment of the present disclosure
A kind of computer readable storage medium is also provided, for example, non-transitorycomputer readable storage medium can be read-only memory
(English: Read Only Memory, ROM), random access memory (English: Random Access Memory, RAM), CD-
ROM, tape, floppy disk and optical data storage devices etc..It is stored with computer instruction on the storage medium, for executing above-mentioned Fig. 1
Transformer equipment state evaluating method described in corresponding embodiment, details are not described herein again.
Those skilled in the art will readily occur to its of the disclosure after considering specification and practicing disclosure disclosed herein
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the disclosure, these modifications, purposes or
Person's adaptive change follows the general principles of this disclosure and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and the true scope and spirit of the disclosure are by following
Claim is pointed out.
Claims (11)
1. a kind of transformer equipment state evaluating method, which is characterized in that the described method includes:
Obtain the detection subitem data of at least one corresponding detection of the transformer equipment；Wherein, the detection is at least
Combination comprising following one or more: tap switch, non-ionizing energy loss, ontology, casing and cooling system；Each detection pair
At least one is answered to detect subitem；
According to each detection subitem data, the corresponding basis deduction of points point of each detection subitem data is obtained according to the first preset rules
Value；
According to total button of each detection described in each corresponding basis deduction of points score value of detection subitem data and default weight calculation
Score and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection；
It is determined according to the total penalties number of each detection and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection
The state of the transformer equipment.
2. state evaluating method according to claim 1, which is characterized in that the total penalties number according to each detection
The corresponding individual event deduction of points number of corresponding with each detection detection subitem determines that the state of the transformer equipment includes:
The corresponding individual event deduction of points number of subitem is detected according to the total penalties number of each detection and each detection are corresponding, according to
Second preset rules determine the detecting state of each detection；
The state of the transformer equipment is determined according to third preset rules according to the detecting state of each detection.
3. state evaluating method according to claim 2, which is characterized in that the detection is tap switch detection,
The corresponding detection subitem data of the tap switch include at least one of:
Loaded tap switch oil position inspection data, load ratio bridging switch respirator inspection data, load ratio bridging switch tap position
Inspection data, load ratio bridging switch leakage inspection data, load ratio bridging switch switching times operation data, load ratio bridging switch with
Previous maintenance interval operation data, on-line oil filter device of on-load tap-changer operation data, load ratio bridging switch transmission mechanism fortune
Row data, load ratio bridging switch limiting device failure operation data, load ratio bridging switch slide piece operation data, load ratio bridging switch
Control loop operation data, load ratio bridging switch acting characteristic test data, loaded tap switch oil resistance test data, nothing are encouraged
Magnetic shunting switch actuating mechanism and gear operation data, off circuit tap changer thermometer test/inspection data are tapped without excitation
It switchs oil level indicating gage test/inspection data, off circuit tap changer pressure relief valve test/inspection data, tapped without excitation
Switching gas relay test/inspection data opens thermometer test/inspection data without excitation tap.
4. state evaluating method according to claim 2, which is characterized in that the detection is non-ionizing energy loss detection
, the corresponding detection subitem data of the non-ionizing energy loss detection include at least one of:
Non-ionizing energy loss thermometer inspection/test data, non-ionizing energy loss oil level indicating gage inspection/test data, non electrical quantity are protected
Protect pressure relief valve inspection/test data, non-ionizing energy loss gas relay inspection/test data.
5. state evaluating method according to claim 2, which is characterized in that the detection is ontology detection, described
The corresponding detection subitem data of ontology detection include at least one of:
Net the fault data of factory, net type, equipment, body short current times operation data, the accumulative operation number of body short impact
According to, ontology transformer overload operation data, ontology overexcited operation data, ontology conservator sealing element data, ontology oil storage
Cabinet oil level data, ontology permeability inspection data, ontology oil leak inspection data, this bulk noise and vibration inspection data, body surface
Corrode inspection data, ontology respirator inspection data, this running body oil temperature inspection data, ontology winding D.C. resistance test number
According to, ontology winding dissipation factor test data, ontology capacitance test data, ontology core insulation test data, winding
Frequency response testing experiment data, body short impedance experiments data.
6. state evaluating method according to claim 2, which is characterized in that the detection is pipe sleeve detection, described
The corresponding detection subitem data of pipe sleeve detection include at least one of:
Pipe sleeve external insulation inspection data, pipe sleeve appearance inspection data and pipe sleeve oil level indicate inspection data.
7. state evaluating method according to claim 2, which is characterized in that the detection is cooling system detection,
The corresponding detection subitem data of the cooling system detection include at least one of:
The cooling dress of cooling system motor operation inspection data, cooling system cooling device control system inspection data, cooling system
Set heat dissipation effect inspection data, cooling system water-cooling but device inspection data, cooling system permeability inspection data and cooling system leakage
Oily inspection data.
8. according to the described in any item state evaluating methods of claim 3 to 7, which is characterized in that described according to each detection
Subitem data, obtaining the corresponding deduction of points score value of each detection subitem data respectively according to the first preset rules includes:
According to each detection subitem data, it is corresponding that each detection subitem data are inquired in preset each detection score list
Deduction of points score value, wherein prestore each detection in the detection score list and correspond to detection subitem data and deduct points with basis and divide
The corresponding relationship of value.
9. state evaluating method according to claim 1, which is characterized in that the total penalties number according to each detection
Individual event deduction of points number corresponding with the detection subitem, the detecting state for judging the detection according to the second preset rules include:
When the total penalties number of the detection is not more than the first detection threshold value, and the corresponding individual event deduction of points number of the detection subitem
When no more than the first detection subitem threshold value, determine that the detecting state of the detection is normal condition；
When the total penalties number of the detection is between the first detection threshold value and the second detection threshold value, and the detection subitem
Corresponding individual event deduction of points number determines the detection of the detection between the first detection subitem threshold value and the second detection subitem threshold value
State is attention state；
When the detection corresponding individual event deduction of points number is between the second detection subitem threshold value and third detection subitem threshold value, determine
The detecting state of the detection is abnormality；
Subitem threshold value is detected when the corresponding individual event deduction of points number of the detection is greater than third, determines the detecting state of the detection
For severe conditions.
10. state evaluating method according to claim 9, which is characterized in that the inspection according to each detection
Survey state determines that the state of the transformer equipment includes: according to third preset rules
When the detecting state of at least one detection is severe conditions, determine that the transformer equipment state is severe conditions；
When the detecting state of all detections is not severe conditions, and at least one detection detecting state is abnormality
When, determine that the transformer equipment state is abnormality；
When the detecting state of all detections is not severe conditions and is not abnormality, and at least one detection detects
When state is attention state, determine that really the transformer equipment state is attention state；
When the detecting state of all detections is normal condition, determine that the transformer equipment state is normal condition.
11. a kind of server, which is characterized in that the server includes:
Data acquisition module, for obtaining the detection subitem data of at least one corresponding detection of the transformer equipment；Its
In, the detection includes at least the combination of following one or more: tap switch, non-ionizing energy loss, ontology, casing and cooling
System；Each detection corresponds at least one detection subitem；
Score value obtains module, for obtaining each detection subitem number according to the first preset rules according to each detection subitem data
According to corresponding basis deduction of points score value；
Computing module, for each according to each corresponding basis deduction of points score value of detection subitem data and default weight calculation
The total penalties number of detection and the corresponding individual event deduction of points number of the corresponding detection subitem of each detection；
Determining module, for the total penalties number and the corresponding list of the corresponding detection subitem of each detection according to each detection
Item deduction of points number determines the state of the transformer equipment.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111784178A (en) * | 2020-07-10 | 2020-10-16 | 西南石油大学 | Distribution transformer state evaluation method based on multi-source information fusion |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104573931A (en) * | 2014-12-22 | 2015-04-29 | 国网四川省电力公司攀枝花供电公司 | Transformer device state maintaining guiding method based on TRIZ |
| CN106203863A (en) * | 2016-07-15 | 2016-12-07 | 国网浙江省电力公司电力科学研究院 | A kind of power transformer full dose state evaluation model of comprehensive multi-source information |
| CN106446426A (en) * | 2016-09-29 | 2017-02-22 | 国网山东省电力公司电力科学研究院 | Health index based power transformer evaluation method |
-
2019
- 2019-07-30 CN CN201910694062.XA patent/CN110426577A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104573931A (en) * | 2014-12-22 | 2015-04-29 | 国网四川省电力公司攀枝花供电公司 | Transformer device state maintaining guiding method based on TRIZ |
| CN106203863A (en) * | 2016-07-15 | 2016-12-07 | 国网浙江省电力公司电力科学研究院 | A kind of power transformer full dose state evaluation model of comprehensive multi-source information |
| CN106446426A (en) * | 2016-09-29 | 2017-02-22 | 国网山东省电力公司电力科学研究院 | Health index based power transformer evaluation method |
Non-Patent Citations (1)
| Title |
|---|
| 佚名: "3.1油浸式变压器状态评价细则", 《百度文库》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111784178A (en) * | 2020-07-10 | 2020-10-16 | 西南石油大学 | Distribution transformer state evaluation method based on multi-source information fusion |
| CN111784178B (en) * | 2020-07-10 | 2022-09-13 | 西南石油大学 | Distribution transformer state evaluation method based on multi-source information fusion |
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