CN114018983A - Method and device for predicting heating defects of power transformation equipment and storable medium - Google Patents
Method and device for predicting heating defects of power transformation equipment and storable medium Download PDFInfo
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Abstract
The invention relates to a method for predicting heating defects of power transformation equipment, which comprises the following steps: selecting the type of the to-be-tested power transformation equipment and the to-be-tested part, and acquiring the environmental factors of the current position; acquiring an infrared thermal imaging picture of the power transformation equipment; acquiring a three-phase temperature measurement value of a part to be tested in the power transformation equipment through the infrared thermal imaging picture; correcting the three-phase temperature measurement value of the part to be tested according to environmental factors to obtain a three-phase temperature correction value; according to the three-phase temperature correction value, carrying out heating defect prediction on the part to be tested; and meanwhile, on-site environmental factors are obtained during testing, and the three-phase temperature measurement value of the power transformation equipment is corrected according to the environmental factors, so that the accuracy of heating defect prediction is ensured.
Description
Technical Field
The invention relates to a method and equipment for predicting the heating defect of power transformation equipment and a storable medium, and relates to the technical field of power transformation equipment detection.
Background
At present, since the electric test professional develops the live test work, along with the continuous increase of the equipment running time, the equipment heating defects are gradually increased year by year, and a severe test is brought to the stability of a power grid.
However, the detection of the heating defects of the substation equipment generally acquires the temperature, the humidity and the wind speed of the outdoor environment in real time, however, the accurate judgment of the heating defect property of the substation equipment, which is influenced by the field environment temperature, cannot be accurately acquired when the temperature of a substation operator is measured outdoors; meanwhile, infrared defect detection is usually adopted for detecting heating defects, because the factors influencing infrared temperature measurement are more, the influence of some factors on relative temperature difference can be neglected, the general heating defects in the detected defects occupy a large part, once the general heating defects develop into serious heating defects or critical heating defects, equipment is required to be stopped immediately, the defect elimination work cannot be carried out timely, the maintenance work is quite passive, and the safe operation of a power grid is difficult to guarantee.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method and equipment for predicting the heating defect of the power transformation equipment and a storage medium, which are used for simultaneously acquiring field environmental factors during testing, correcting the three-phase temperature measurement value of the power transformation equipment according to the environmental factors and ensuring the accuracy of the prediction of the heating defect so as to solve the problem of potential safety hazards of the power transformation equipment and a power grid caused by the fact that the heating defect of the power transformation equipment cannot be accurately predicted and timely processed in the prior art.
The technical scheme of the invention is as follows:
in one aspect, the invention provides a method for predicting a heating defect of a power transformation device, which comprises the following steps:
selecting the type of the to-be-tested power transformation equipment and the to-be-tested part, and acquiring the environmental factors of the current position;
acquiring an infrared thermal imaging picture of the power transformation equipment; acquiring a three-phase temperature measurement value of a part to be tested in the power transformation equipment through the infrared thermal imaging picture;
correcting the three-phase temperature measurement value of the part to be tested according to environmental factors to obtain a three-phase temperature correction value;
and predicting the heating defect of the part to be tested according to the three-phase temperature correction value.
Preferably, the specific step of obtaining the three-phase temperature measurement value of the part to be tested in the power transformation device through the infrared thermal imaging picture is as follows:
detecting the position of the part to be tested in the infrared thermal imaging picture by utilizing an image recognition technology;
and extracting temperature characteristic data of the part to be tested according to the position of the part to be tested in the infrared thermal imaging picture, and calculating a three-phase temperature measurement value of the part to be tested according to the temperature characteristic data.
Preferably, the step of correcting the three-phase temperature measurement value of the part to be tested according to the environmental factors to obtain a three-phase temperature correction value comprises the following specific steps:
extracting the field environment temperature from the environment factors and obtaining the surface reflectivity of the power transformation equipment;
correcting the three-phase temperature measurement value according to the following formula:
wherein epsilon is the surface reflectivity of the tested power transformation equipment; t' is the radiation temperature of the infrared thermal imager; the value of n is determined according to the working wave band of the infrared thermal imager; tu is ambient temperature; and T is a three-phase temperature correction value.
Preferably, the method for extracting the field environment temperature from the environmental factors specifically comprises the following steps:
acquiring the positioning information of the current position, acquiring the meteorological data of the current position from the meteorological service platform according to the positioning information of the current position, and extracting the environmental temperature from the meteorological data to be used as the field environmental temperature.
Preferably, the step of predicting the heating defect of the to-be-tested part according to the three-phase temperature correction value specifically comprises the following steps:
performing defect analysis on the part to be tested according to the three-phase temperature correction value to obtain an abnormal phase identification result;
judging whether the abnormal phase identification result is normal or not;
if the abnormal phase identification result is normal, generating a test report;
if the abnormal phase identification result is abnormal, judging the defect grade, and generating a defect report according to the defect grade;
and generating a defect prediction report according to the infrared thermal imaging picture and the test report/defect report.
Preferably, the step of judging the defect level and generating the defect report according to the defect level includes:
calculating the relative temperature difference:
δt＝(τ1-τ2)/τ1×100％＝(T1-T2)/(T1-T0)×100％；
wherein, tau1And T1Temperature rise and temperature of the heating point; tau is2And T2Temperature rise and temperature at normal corresponding points; t is0The temperature of the reference body is the ambient temperature;
and judging the grade of the heating defect according to the calculated relative temperature difference, the type of the power transformation equipment and the part to be tested, and generating a corresponding defect report.
Preferably, a heating defect database is established, wherein the heating defect database comprises the type of the power transformation equipment, the type of the part, the mapping relation between the relative temperature difference and the heating defect grade; and searching the heating defect database according to the calculated relative temperature difference, the type of the power transformation equipment and the part to be tested to obtain the corresponding heating defect grade.
Preferably, after the defect prediction report is generated, the defect prediction report is sent to relevant personnel.
In another aspect, the present invention further provides a power transformation equipment heating defect prediction equipment, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the method according to any embodiment of the present invention.
In another aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, wherein the program is configured to implement the method according to any one of the embodiments of the present invention when executed by a processor.
The invention has the following beneficial effects:
1. according to the method for predicting the heating defect of the power transformation equipment, the on-site environmental factors are obtained during testing, the three-phase temperature measurement value of the power transformation equipment is corrected according to the environmental factors, and the accuracy of the heating defect prediction is guaranteed.
2. The invention relates to a method for predicting the heating defect of a power transformation device, which comprises the steps of identifying the image position of a part to be tested by utilizing an image identification technology according to a selected power transformation device and the part to be tested, and automatically calculating according to the position to obtain a three-phase temperature measurement value; the rate and accuracy of temperature measurement is improved.
3. The invention relates to a method for predicting the heating defect of a power transformation device, which is used for correcting a three-phase temperature measurement value by specifically utilizing an ambient temperature and a surface reflectivity structure temperature correction formula of the power transformation device, so that an accurate three-phase correction value can be obtained.
4. The invention relates to a method for predicting the heating defect of a power transformation device, which is characterized in that a heating defect database comprising the mapping relation among the type, the part type, the relative temperature difference and the heating defect grade of the power transformation device is established, the relative temperature difference is calculated through a measured three-phase correction value, and the corresponding heating defect grade can be rapidly determined.
Drawings
Fig. 1 is a flowchart of a first embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be understood that the step numbers used herein are for convenience of description only and are not intended as limitations on the order in which the steps are performed.
It is to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The terms "comprises" and "comprising" indicate the presence of the described features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
The term "and/or" refers to and includes any and all possible combinations of one or more of the associated listed items.
The first embodiment is as follows:
referring to fig. 1, the present embodiment provides a method for predicting a heating defect of a power transformation device, including the following steps:
s100, a worker carries a testing device to a site to predict the heating defect of the power transformation device, the testing device comprises an app client, the worker selects the type and the part of the power transformation device to be tested in the app client, the app client imports the types of the power transformation primary devices contained in various national grid defect standard libraries and the part of each type of power transformation device, and the worker selects the types and the parts to be tested in the app client according to the power transformation device on the site; the method comprises the steps that a worker determines current position information through test equipment and obtains environmental factors according to the current position information;
s200, an infrared thermal imager is arranged on the testing equipment, and a worker photographs the power transformation equipment through the infrared thermal imager to obtain an infrared thermal imaging picture of the power transformation equipment; a processor in the testing equipment receives the infrared thermal imaging picture and analyzes information to obtain a three-phase temperature measurement value of a part to be tested in the power transformation equipment; a processor in the testing equipment corrects the three-phase temperature measurement value of the part to be tested according to environmental factors to obtain a three-phase temperature correction value;
and S300, a processor in the testing equipment predicts the heating defect of the part to be tested according to the three-phase temperature correction value.
In a specific embodiment, in step S200, the specific step of obtaining the three-phase temperature measurement value of the portion to be tested in the power transformation device through the infrared thermal imaging picture includes:
detecting the position of the part to be detected in the infrared thermal imaging picture by using an image recognition technology, such as a YOLOv5 algorithm, firstly establishing a part detection model based on the YOLOv5 algorithm, collecting the infrared thermal imaging picture of the power transformation equipment, adding a label to the part in the picture, and sending the part detection model into the part detection model for training until the recognition rate of the part detection model meets the detection requirement;
and extracting temperature characteristic data of the part to be tested according to the position of the part to be tested in the infrared thermal imaging picture, and calculating a three-phase temperature measurement value of the part to be tested according to the temperature characteristic data.
In a specific embodiment, in step S200, the step of correcting the three-phase temperature measurement value of the to-be-tested portion according to the environmental factor to obtain a three-phase temperature correction value includes:
extracting the field environment temperature from the environment factors and obtaining the surface reflectivity of the power transformation equipment;
correcting the three-phase temperature measurement value according to the following formula:
wherein epsilon is the surface reflectivity of the tested power transformation equipment; t' is the radiation temperature (apparent temperature) of the infrared thermal imager; the value of n varies with different working wave bands of the imager, the working wave band of the thermal imager used in the power industry is between 8 and 13 mu m, and the value n is approximately equal to 4; tu is ambient temperature; and T is a three-phase temperature correction value.
In a specific embodiment, the method for extracting the field environment temperature from the environmental factors specifically comprises:
the testing equipment is provided with a positioning module, such as a GPS module, positioning information of the current position of the testing equipment is obtained through the positioning module, meteorological data of the current position are obtained from a meteorological service platform according to the positioning information of the current position, and the environmental temperature is extracted from the meteorological data to serve as the field environmental temperature.
In a specific embodiment, in step S300, the step of predicting the heating defect of the to-be-tested part according to the three-phase temperature correction value specifically includes:
s310, analyzing the defects of the part to be tested according to the three-phase temperature correction value to obtain an abnormal phase identification result;
s320, judging whether the abnormal phase identification result is normal or not;
s330, if the abnormal phase identification result is normal, generating a test report;
s340, if the abnormal phase identification result is abnormal, judging the defect grade, and generating a defect report according to the defect grade;
and S350, generating a defect prediction report according to the infrared thermal imaging picture and the test report/defect report.
In one embodiment, in step S320, the method for determining whether the abnormal recognition result is normal includes: surface temperature judgment, homogeneous comparison judgment, image characteristic judgment, relative temperature difference judgment, file analysis judgment and real-time analysis judgment.
For the above determination method:
a) surface temperature determination method: the device is mainly suitable for devices which generate heat due to current heating type and electromagnetic effect. According to the measured surface temperature value of the equipment, the temperature and temperature rise limit relevant regulations of various parts, materials and insulating media of high-voltage switch equipment and control equipment in GB/T11022 are compared, and the analysis and judgment are carried out by combining the environmental climate condition and the load size.
b) The similar comparison and judgment method comprises the following steps: and carrying out comparative analysis according to the temperature difference of corresponding parts among the same group of three-phase equipment, the same-phase equipment and the similar equipment.
c) Image feature determination method: the method is mainly suitable for voltage heating type equipment. And judging whether the equipment is normal or not according to the thermal images of the normal state and the abnormal state of the similar equipment. Attention is paid to eliminate the influence of various interference factors on the image as much as possible, and comprehensive judgment is carried out by combining the results of electrical tests or chemical analysis if necessary.
d) Relative temperature difference judging method: the method is mainly suitable for current heating equipment. Particularly, for small-load current heating equipment, the judgment missing rate of the small-load defect can be reduced by adopting a relative temperature difference judgment method. For current heating type equipment, when the heating point temperature rise value is less than 15K, a relative temperature difference judgment method is not suitable.
e) And (3) file analysis and judgment method: and analyzing the temperature field distribution of the same equipment at different periods, finding out the change of equipment heating parameters, and judging whether the equipment is normal.
f) Real-time analysis and judgment method: the method is characterized in that a thermal infrared imager is used for continuously detecting a certain tested device within a period of time, and the temperature of the device is observed to change along with factors such as load, time and the like.
In an embodiment, in step S340, the step of determining the defect level and generating the defect report according to the defect level includes:
s341, if the abnormal phase identification result is abnormal, calculating the relative temperature difference:
δt＝(τ1-τ2)/τ1×100％＝(T1-T2)/(T1-T0)×100％；
wherein, tau1And T1Temperature rise and temperature of the heating point; tau is2And T2Temperature rise and temperature at normal corresponding points; t is0The temperature of the reference body is the ambient temperature;
and S342, judging the grade of the heating defect according to the calculated relative temperature difference, the type of the power transformation equipment and the part to be tested, and generating a corresponding defect report.
In a specific embodiment, a heating defect database is also established in a storage unit of the test equipment, and the heating defect database in the embodiment comprises 14 types of primary equipment (comprising a main transformer, a circuit breaker, a station transformer, a disconnecting switch, a bus, a reactor, a current transformer, a voltage transformer, a power capacitor, a lightning arrester, an arc suppression coil, a switch cabinet, a wall bushing and a combined electrical appliance) and types of corresponding parts (comprising a bushing, a joint and a wire clamp, a metal wire, a lead wire, a connecting terminal, an arc extinguishing chamber, a contact, a wire holder, a current transformer body, a voltage transformer body, a fuse wire joint, a bus bar, a column head and the like), and mapping relation between relative temperature difference and heating defect grades; the coverage range of the heating defect database basically meets the requirement of substation operation personnel for judging the infrared temperature measurement of daily equipment; and searching the heating defect database according to the calculated relative temperature difference, the type of the power transformation equipment and the part to be tested to obtain the corresponding heating defect grade.
In a specific embodiment, in step S350, after the defect prediction report is generated, the defect prediction report is sent to the relevant personnel by means of short message, mail or the like.
Example two:
the present embodiment provides a mapping relationship between types of power transformation devices, types of locations, relative temperature differences, and heating defect levels, which is specifically as follows:
a) the judgment basis of the current heating type device is as follows:
the general disadvantages are: the temperature difference exceeds 15K;
the serious defects are as follows: the relative temperature difference range is more than or equal to 80 percent and less than 95 percent;
critical defects are: the relative temperature difference range is delta is more than or equal to 95 percent;
b) the judgment of the voltage heating type device is basically consistent with that of the current heating type device.
c) When the defect is caused by two or more factors, the properties of the defect should be comprehensively judged. Overheating caused by magnetic fields and leakage flux can be treated according to the criterion of the current-induced heating type device.
The present embodiment classifies the heat generation defects into the following three categories according to the degree of influence of the heat generation defects on the operation of the electrical apparatus:
1. general disadvantages:
a) the device has the defects of overheating, certain temperature difference and certain gradient of a temperature field, but no accident. The defects generally need to be recorded on a case, the development of the defects is observed, the power failure opportunity is utilized for maintenance, and test maintenance is scheduled in a planned mode to eliminate the defects.
b) When the heating point temperature rise value is less than 15K, the specification of appendix D is not suitable for determining the nature of the device defect. For equipment with small load rate, small temperature rise and large relative temperature difference, if the load has a condition or a chance to change, retesting can be carried out after the load current is increased so as to determine the property of the equipment defect, and when the load cannot be changed, the equipment defect can be tentatively set as a common defect so as to strengthen monitoring.
2. Serious defect
a) The device has the defects of overheating, heavy degree, large temperature field distribution gradient and large temperature difference. Such defects should be scheduled for disposal as soon as possible.
b) For the current heating type apparatus, necessary measures such as strengthening the detection and the like should be taken, and the load current should be reduced if necessary.
c) For voltage heating type equipment, other testing means should be intensively monitored and arranged, and measures are taken immediately to eliminate defects after the defect properties are confirmed.
d) The defects of the voltage heating type devices are generally defined as serious and above defects.
3. Critical defect
a) The defect that the maximum temperature of the equipment exceeds the maximum allowable temperature specified in GB/T11022 is pointed out. Such defects should be scheduled for immediate disposal.
b) For current-powered devices, the load current should be reduced or eliminated immediately.
c) For voltage heating type equipment, when the defect is obvious, the defect is eliminated or the operation is stopped immediately, if necessary, other test means can be arranged to further determine the defect property.
The embodiment further provides a method for processing raw data, which specifically includes:
the staff should preserve defective infrared thermal image detection raw data at any time in the process of carrying test equipment to carry out substation equipment heating detection, and store in the test equipment or on the server in communication connection with the test equipment, the storage mode is as follows:
a) establishing a folder name: the name of the transformer station plus the detection date (such as 20150101 for the bottle transmutation);
b) file name: the instrument is named according to the automatic generation number of the instrument, and the serial numbers are 20150101001, 20150101002 and 20150101003 … … in sequence and correspond to specific equipment (such as a thoroughfare vessel 1751 line CT A phase and a thoroughfare vessel 1751 line CT B phase).
Example three:
the present embodiment provides a power transformation equipment heating defect prediction apparatus, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any embodiment of the present invention when executing the program.
Example four:
the present embodiment provides a computer-readable storage medium, on which a computer program is stored, wherein the computer program is configured to implement the method according to any embodiment of the present invention when executed by a processor.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A method for predicting the heating defect of power transformation equipment is characterized by comprising the following steps:
selecting the type of the to-be-tested power transformation equipment and the to-be-tested part, and acquiring the environmental factors of the current position;
acquiring an infrared thermal imaging picture of the power transformation equipment; acquiring a three-phase temperature measurement value of a part to be tested in the power transformation equipment through the infrared thermal imaging picture;
correcting the three-phase temperature measurement value of the part to be tested according to environmental factors to obtain a three-phase temperature correction value;
and predicting the heating defect of the part to be tested according to the three-phase temperature correction value.
2. The method for predicting the heating defect of the power transformation equipment as recited in claim 1, wherein the specific steps of obtaining the three-phase temperature measurement value of the part to be tested in the power transformation equipment through the infrared thermal imaging picture are as follows:
detecting the position of the part to be tested in the infrared thermal imaging picture by utilizing an image recognition technology;
and extracting temperature characteristic data of the part to be tested according to the position of the part to be tested in the infrared thermal imaging picture, and calculating a three-phase temperature measurement value of the part to be tested according to the temperature characteristic data.
3. The method for predicting the heating defect of the power transformation equipment as recited in claim 2, wherein the step of correcting the three-phase temperature measurement value of the part to be tested according to the environmental factors to obtain a three-phase temperature correction value comprises the following specific steps:
extracting the field environment temperature from the environment factors and obtaining the surface reflectivity of the power transformation equipment;
correcting the three-phase temperature measurement value according to the following formula:
wherein epsilon is the surface reflectivity of the tested power transformation equipment; t' is the radiation temperature of the infrared thermal imager; the value of n is determined according to the working wave band of the infrared thermal imager; tu is ambient temperature; and T is a three-phase temperature correction value.
4. A method for predicting a heat generation defect of a power transformation device as recited in claim 3, wherein the method for extracting the field ambient temperature from the environmental factors specifically comprises:
acquiring the positioning information of the current position, acquiring the meteorological data of the current position from the meteorological service platform according to the positioning information of the current position, and extracting the environmental temperature from the meteorological data to be used as the field environmental temperature.
5. The method for predicting the heating defect of the power transformation equipment as recited in claim 1, wherein the step of predicting the heating defect of the to-be-tested part according to the three-phase temperature correction value specifically comprises:
performing defect analysis on the part to be tested according to the three-phase temperature correction value to obtain an abnormal phase identification result;
judging whether the abnormal phase identification result is normal or not;
if the abnormal phase identification result is normal, generating a test report;
if the abnormal phase identification result is abnormal, judging the defect grade, and generating a defect report according to the defect grade;
and generating a defect prediction report according to the infrared thermal imaging picture and the test report/defect report.
6. The method for predicting the heating defect of the transformer equipment as recited in claim 5, wherein the step of judging the defect grade and generating the defect report according to the defect grade comprises the following specific steps:
calculating the relative temperature difference:
δt＝(τ1-τ2)/τ1×100％＝(T1-T2)/(T1-T0)×100％；
wherein, tau1And T1Temperature rise and temperature of the heating point; tau is2And T2Temperature rise and temperature at normal corresponding points; t is0The temperature of the reference body is the ambient temperature;
and judging the grade of the heating defect according to the calculated relative temperature difference, the type of the power transformation equipment and the part to be tested, and generating a corresponding defect report.
7. The method for predicting the heating defect of the power transformation equipment as recited in claim 6, wherein: a heating defect database is also established, wherein the heating defect database comprises the type of the power transformation equipment, the type of the part, the mapping relation between the relative temperature difference and the heating defect grade; and searching the heating defect database according to the calculated relative temperature difference, the type of the power transformation equipment and the part to be tested to obtain the corresponding heating defect grade.
8. The method for predicting the heating defect of the power transformation equipment as recited in claim 5, wherein: and after the defect prediction report is generated, sending the defect prediction report to related personnel.
9. A power transformation device heat generation defect prediction device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 8 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 8.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202111293354.6A CN114018983A (en) | 2021-11-03 | 2021-11-03 | Method and device for predicting heating defects of power transformation equipment and storable medium |
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| CN202111293354.6A CN114018983A (en) | 2021-11-03 | 2021-11-03 | Method and device for predicting heating defects of power transformation equipment and storable medium |
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| CN114812824A (en) * | 2022-04-14 | 2022-07-29 | 国网福建省电力有限公司莆田供电公司 | Charged device infrared diagnosis method and system |
| CN115290696A (en) * | 2022-08-03 | 2022-11-04 | 重庆大学 | Infrared thermal imaging defect detection method and device for transformer substation insulator |
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