CN114353897A - Method and terminal for judging oil level abnormity of oil-filled primary equipment based on visual system - Google Patents

Method and terminal for judging oil level abnormity of oil-filled primary equipment based on visual system Download PDF

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Publication number
CN114353897A
CN114353897A CN202111239405.7A CN202111239405A CN114353897A CN 114353897 A CN114353897 A CN 114353897A CN 202111239405 A CN202111239405 A CN 202111239405A CN 114353897 A CN114353897 A CN 114353897A
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oil level
oil
abnormal
temperature
period
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刘杨
林国强
陈栩
高潮
黄孟童
陈闽江
许懿洋
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Maintenance Branch of State Grid Fujian Electric Power Co Ltd
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Maintenance Branch of State Grid Fujian Electric Power Co Ltd
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Abstract

The invention discloses a method and a terminal for judging the oil level abnormity of oil-filled primary equipment based on a vision system, wherein the method comprises the following steps: step S1, acquiring real-time oil level readings of the oil-filled primary equipment at fixed points by adopting an inspection robot, an unmanned aerial vehicle or a temperature measuring pan-tilt; step S2, obtaining the current temperature, and obtaining and storing the compensated oil level reading according to the current temperature compensated real-time oil level reading; and step S3, comparing the compensated oil level reading of the current period with the compensated oil level reading of the previous period to obtain an oil level variation trend, and obtaining whether the oil level is abnormal or not and the abnormal category according to the oil level variation trend. The oil level is obtained through the fixed point of the inspection robot, the unmanned aerial vehicle or the temperature measurement holder, misdetection caused by angles, station positions and artificial readings can be eliminated, accurate oil level readings can be obtained in an image recognition mode, the variation trend of the oil level is obtained according to the comparison of the oil level readings, and whether the oil level is abnormal or not and the abnormal category is judged according to the variation trend of the oil level.

Description

Method and terminal for judging oil level abnormity of oil-filled primary equipment based on visual system
Technical Field
The invention relates to the technical field of power equipment, in particular to a method and a terminal for judging abnormal oil level of primary oil-filled equipment based on a vision system.
Background
The insulating oil in the transformer has much higher insulating strength than air, has a perfect cooling effect, is a good arc extinguishing medium, and has the functions of maintaining and preventing corrosion on insulating materials, and the transformer cannot run safely due to the fact that the oil level is too high or too low.
At present, the oil level of the transformer is monitored by adopting a manual inspection mode, and the oil level of the sleeve is checked by adopting a telescope or a high-definition camera, so that time and labor are wasted, and because people, shooting angles and shooting positions of people and shooting at each time are different, an oil level window can only be approximately seen whether oil exists, accurate oil level reading can not be obtained, so that the situation that whether the oil level is changed or not in comparison with the previous time can not be observed, and the oil level change trend can not be responded.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the method and the terminal for judging the oil level abnormality of the oil-filled primary equipment based on the visual system can automatically judge whether the oil level of the oil-filled primary equipment is abnormal or not and judge the abnormal type according to the trend of the oil level change of the oil-filled primary equipment.
In order to solve the technical problems, the invention adopts the technical scheme that:
a method for judging the abnormality of the oil level of primary oil-filled equipment based on a visual system comprises the following steps:
step S1, acquiring real-time oil level readings of the oil-filled primary equipment at fixed points by adopting an inspection robot, an unmanned aerial vehicle or a temperature measuring pan-tilt;
step S2, obtaining the current temperature, and obtaining and storing the compensated oil level reading according to the current temperature compensated real-time oil level reading;
and step S3, comparing the compensated oil level reading of the current period with the compensated oil level reading of the previous period to obtain an oil level variation trend, and obtaining whether the oil level is abnormal or not and the abnormal category according to the oil level variation trend.
In order to solve the technical problem, the invention adopts another technical scheme as follows:
a visual system-based terminal for judging the abnormal oil level of oil-filled primary equipment comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the following steps:
step S1, acquiring real-time oil level readings of the oil-filled primary equipment at fixed points by adopting an inspection robot, an unmanned aerial vehicle or a temperature measuring pan-tilt;
step S2, obtaining the current temperature, and obtaining and storing the compensated oil level reading according to the current temperature compensated real-time oil level reading;
and step S3, comparing the compensated oil level reading of the current period with the compensated oil level reading of the previous period to obtain an oil level variation trend, and obtaining whether the oil level is abnormal or not and the abnormal category according to the oil level variation trend.
The invention has the beneficial effects that: the utility model provides a judge unusual method of oil filling primary equipment oil level and terminal based on vision system, acquire the oil level through patrolling and examining robot, unmanned aerial vehicle or temperature measurement cloud platform fixed point, can get rid of the misdetection that angle, station and artificial reading caused to use the temperature compensation coefficient to get rid of the error that the temperature caused, make can acquire accurate oil level reading through image identification's mode, thereby obtain the trend of change of oil level according to the comparison of oil level reading, judge whether the oil level has unusually and unusual classification through the trend of change of oil level.
Drawings
FIG. 1 is a schematic flow chart of a method for determining an abnormal oil level in an oil-filled primary equipment based on a vision system according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a terminal for determining an abnormal oil level of oil-filled primary equipment based on a vision system according to an embodiment of the present invention.
Description of reference numerals:
1. a terminal for judging the abnormal oil level of primary oil-filled equipment based on a vision system; 2. a processor; 3. a memory.
Detailed Description
In order to explain technical contents, achieved objects, and effects of the present invention in detail, the following description is made with reference to the accompanying drawings in combination with the embodiments.
Referring to fig. 1, a method for determining an oil level abnormality of an oil-filled primary device based on a vision system includes the steps of:
step S1, acquiring real-time oil level readings of the oil-filled primary equipment at fixed points by adopting an inspection robot, an unmanned aerial vehicle or a temperature measuring pan-tilt;
step S2, obtaining the current temperature, and obtaining and storing the compensated oil level reading according to the current temperature compensated real-time oil level reading;
and step S3, comparing the compensated oil level reading of the current period with the compensated oil level reading of the previous period to obtain an oil level variation trend, and obtaining whether the oil level is abnormal or not and the abnormal category according to the oil level variation trend.
From the above description, the beneficial effects of the present invention are: the oil level is obtained through the fixed point of the inspection robot, the unmanned aerial vehicle or the temperature measurement holder, misdetection caused by angles, station positions and artificial readings can be eliminated, errors caused by temperature are eliminated through temperature compensation coefficients, accurate oil level readings can be obtained through an image recognition mode, the variation trend of the oil level is obtained according to comparison of the oil level readings, and whether the oil level is abnormal or not and the abnormal category is judged according to the variation trend of the oil level.
Further, the step S2 includes:
and acquiring a stored temperature compensation coefficient according to the current temperature, and multiplying the temperature compensation coefficient and the real-time oil level reading to obtain a compensated oil level reading, wherein the temperature compensation coefficient is less than 1 when the current temperature is greater than the preset temperature and is greater than 1 when the current temperature is less than the preset temperature.
As can be seen from the above description, the use of the temperature compensation coefficient to compensate the oil level reading eliminates the influence of the ambient temperature on the oil level reading, thereby eliminating the influence on the trend of the oil level change, so that the trend of the oil level change reflects only the abnormality of the oil level.
Further, the obtaining of the oil level reading of the oil-filled primary equipment specifically includes one or more of the following:
shooting an oil level observation window image, and acquiring an oil level reading according to an image identification mode;
shooting an oil temperature dial image, acquiring oil temperature dial reading according to an image recognition mode, and acquiring oil level reading according to a transformer conservator oil temperature-oil level curve;
an infrared temperature image is obtained by adopting an infrared shooting technology, and then an oil level reading is obtained by utilizing an image recognition technology.
From the above description, three different oil level reading acquisition modes can be suitable for different equipment, ensure that the oil level can be read out from various oil-filled primary equipment, and can be verified mutually, thereby ensuring the accuracy of oil level reading acquisition.
Further, the step S3 further includes:
and giving a reference strategy according to the abnormal category.
From the above description, it can be known that the strategy referred to is given from past experience according to the type of the abnormality, which is helpful for the maintainers to arrange the consistency of the corresponding strategy, shortens the time for the maintainers to make the strategy, and improves the maintenance efficiency.
Further, the step S3 includes:
when two continuous detection periods are detected, if the oil level changes in a rising trend, the oil level is judged to be abnormal, the abnormal type is poor equipment sealing performance, and the detection period is shortened to a set first period;
when two continuous detection periods are detected, the oil level is judged to be abnormal when the change of the oil level is accumulated and reduced by a set first threshold value, the abnormal oil is slightly leaked, the detection period is shortened to a set second period, and the second period is longer than the first period;
when two continuous detection periods are detected, the oil level descending amplitude is larger than the first threshold value but smaller than a set second threshold value, the oil level is judged to be abnormal, the abnormal type is the oil leakage of the equipment, and the detection period is shortened to the second period;
when two continuous detection periods of the equipment are detected, the oil level descending amplitude is larger than a second threshold value, the oil level is judged to be abnormal, the abnormal type is that a large amount of oil leaks from the equipment, and the detection period is shortened to the first period;
when 4/5 that the compensated oil level reading is less than the full oil level is detected, the oil level is judged to be abnormal, and the abnormal oil level is caused to be low due to the fact that the equipment leaks a lot of oil.
From the above description, the scheme of the invention can obtain various abnormal categories under the abnormal condition of the oil level according to various variation trends of the oil level, and the abnormal categories can be provided for reference by the maintainers, so that the maintainers can be assisted to quickly determine the abnormal problem, the overhauling efficiency is improved, and the overhauling time is shortened.
Referring to fig. 2, a terminal for determining an abnormal oil level of an oil-filled primary device based on a vision system includes a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor executes the computer program to implement the following steps:
step S1, acquiring real-time oil level readings of the oil-filled primary equipment at fixed points by adopting an inspection robot, an unmanned aerial vehicle or a temperature measuring pan-tilt;
step S2, obtaining the current temperature, and obtaining and storing the compensated oil level reading according to the current temperature compensated real-time oil level reading;
and step S3, comparing the compensated oil level reading of the current period with the compensated oil level reading of the previous period to obtain an oil level variation trend, and obtaining whether the oil level is abnormal or not and the abnormal category according to the oil level variation trend.
From the above description, the beneficial effects of the present invention are: the oil level is obtained through the fixed point of the inspection robot, the unmanned aerial vehicle or the temperature measurement holder, misdetection caused by angles, station positions and artificial readings can be eliminated, errors caused by temperature are eliminated through temperature compensation coefficients, accurate oil level readings can be obtained through an image recognition mode, the variation trend of the oil level is obtained according to comparison of the oil level readings, and whether the oil level is abnormal or not and the abnormal category is judged according to the variation trend of the oil level.
Further, the step S2 includes:
and acquiring a stored temperature compensation coefficient according to the current temperature, and multiplying the temperature compensation coefficient and the real-time oil level reading to obtain a compensated oil level reading, wherein the temperature compensation coefficient is less than 1 when the current temperature is greater than the preset temperature and is greater than 1 when the current temperature is less than the preset temperature.
As can be seen from the above description, the use of the temperature compensation coefficient to compensate the oil level reading eliminates the influence of the ambient temperature on the oil level reading, thereby eliminating the influence on the trend of the oil level change, so that the trend of the oil level change reflects only the abnormality of the oil level.
Further, the obtaining of the oil level reading of the oil-filled primary equipment specifically includes one or more of the following:
shooting an oil level observation window image, and acquiring an oil level reading according to an image identification mode;
shooting an oil temperature dial image, acquiring oil temperature dial reading according to an image recognition mode, and acquiring oil level reading according to a transformer conservator oil temperature-oil level curve;
an infrared temperature image is obtained by adopting an infrared shooting technology, and then an oil level reading is obtained by utilizing an image recognition technology.
From the above description, three different oil level reading acquisition modes can be suitable for different equipment, ensure that the oil level can be read out from various oil-filled primary equipment, and can be verified mutually, thereby ensuring the accuracy of oil level reading acquisition.
Further, the step S3 further includes:
and giving a reference strategy according to the abnormal category.
From the above description, it can be known that the strategy referred to is given from past experience according to the type of the abnormality, which is helpful for the maintainers to arrange the consistency of the corresponding strategy, shortens the time for the maintainers to make the strategy, and improves the maintenance efficiency.
Further, the step S3 includes:
when two continuous detection periods are detected, if the oil level changes in a rising trend, the oil level is judged to be abnormal, the abnormal type is poor equipment sealing performance, and the detection period is shortened to a set first period;
when two continuous detection periods are detected, the oil level is judged to be abnormal when the change of the oil level is accumulated and reduced by a set first threshold value, the abnormal oil is slightly leaked, the detection period is shortened to a set second period, and the second period is longer than the first period;
when two continuous detection periods are detected, the oil level descending amplitude is larger than the first threshold value but smaller than a set second threshold value, the oil level is judged to be abnormal, the abnormal type is the oil leakage of the equipment, and the detection period is shortened to the second period;
when two continuous detection periods of the equipment are detected, the oil level descending amplitude is larger than a second threshold value, the oil level is judged to be abnormal, the abnormal type is that a large amount of oil leaks from the equipment, and the detection period is shortened to the first period;
when 4/5 that the compensated oil level reading is less than the full oil level is detected, the oil level is judged to be abnormal, and the abnormal oil level is caused to be low due to the fact that the equipment leaks a lot of oil.
From the above description, the scheme of the invention can obtain various abnormal categories under the abnormal condition of the oil level according to various variation trends of the oil level, and the abnormal categories can be provided for reference by the maintainers, so that the maintainers can be assisted to quickly determine the abnormal problem, the overhauling efficiency is improved, and the overhauling time is shortened.
The invention is suitable for judging the abnormality of the oil level when various oil-filled primary equipment of the transformer substation is inspected, such as a transformer and the like.
Referring to fig. 1, a first embodiment of the present invention is: a method for judging the abnormality of an oil level of primary oil-filled equipment based on a visual system comprises the following steps:
and step S1, acquiring the real-time oil level reading of the primary oil-filled equipment at a fixed point by adopting an inspection robot, an unmanned aerial vehicle or a temperature measuring cradle head.
Robot, unmanned aerial vehicle and temperature measurement cloud platform are patrolled and examined to intelligence, and it is different from the manual work and detects, can be in the 3D of transformer substation modeling, through predetermineeing 3D transformer substation's position, reach predetermined position according to positioning system during the detection, carry out visible light and shoot, infrared temperature measurement shoots, can make unmanned aerial vehicle accomplish visible light and shoot, infrared temperature measurement year.
Robot, unmanned aerial vehicle or temperature measurement cloud platform are patrolled and examined to intelligence can be from the automatic data that read in the picture of saving to the form of data table exists, and the temperature when data contain the oil level after the quantization, shoot the photo makes it to compare with historical value, draws the change curve.
The specific ways of obtaining the oil level value include the following three ways:
through the mode of image recognition, the high-altitude oil level observation window can be meshed or equivalently divided, the oil level observed by the observation window can be quantized into a specific numerical value after quantization, and certain precision and accuracy are guaranteed. Wherein, the equivalent division can be carried out by 10 equal divisions, 20 equal divisions … … according to the requirement of precision
For an oil temperature dial above the equipment, specific numerical values of the dial can be accurately recorded in an image recognition mode, and then accurate oil level values are obtained through one-to-one correspondence of oil temperature-oil level curves of transformer conservators. The function is shot through the visible light of the intelligent inspection robot, the reading of the oil temperature value is realized by identifying and processing the picture, the transformer conservator oil temperature-oil level curve picture exists in the inspection robot, the unmanned aerial vehicle or the temperature measuring pan-tilt or a software background in the form of a 100X-Y axis corresponding point value table, and the specific oil level value is obtained by adopting a table look-up method according to the read temperature.
The method comprises the steps of adopting robot infrared temperature measurement, adopting an infrared shooting technology to obtain an infrared temperature image, indicating an oil level line inside the equipment by the infrared temperature image, utilizing an image recognition technology, dividing a sleeve in an equivalent manner to obtain an accurate oil level, tracking and observing the change trend of the oil level line, and further judging whether the equipment has oil leakage.
And step S2, acquiring the current temperature, and compensating the real-time oil level reading according to the current temperature to obtain and store the compensated oil level reading.
Specifically, the method for acquiring the current temperature can adopt an inspection robot, an unmanned aerial vehicle or a temperature measurement holder to acquire the reading of a temperature meter in the plant, can also adopt a temperature sensor to detect the temperature in the plant, and can also acquire the current temperature published by a local weather station.
The compensation is carried out in a mode of 'oil level after compensation is equal to oil level before compensation and temperature compensation coefficient', the temperature compensation coefficient is used for dividing the temperature into a plurality of intervals, each interval corresponds to one temperature compensation coefficient, the temperature compensation coefficient is stored in the inner part of an inspection robot, an unmanned aerial vehicle or a temperature measurement holder or a software background in a form of a table, and the corresponding temperature compensation coefficient is obtained according to a table look-up method to compensate the oil level.
In this embodiment, the climate of the location implemented according to this embodiment divides the temperature compensation coefficient into three intervals:
below 10 ℃, 10 ℃ -30 ℃ and above 30 ℃, wherein the temperature compensation coefficient is 0.95 when the ambient temperature is in the interval below 10 ℃, 1.00 when the temperature is in the interval 10 ℃ -30 ℃, and 1.05 when the temperature is above 30 ℃.
And step S3, comparing the compensated oil level reading of the current period with the compensated oil level reading of the previous period to obtain an oil level variation trend, and obtaining whether the oil level is abnormal or not and the abnormal category according to the oil level variation trend.
Specifically, in the present embodiment, a 1000KV substation is taken as an example for illustration, a normal detection period of the 1000KV substation is normally 1 time per month, and the present embodiment specifically detects the oil level of the casing, and divides the full oil level of the casing into 50 equal parts, and each equal part is taken as an oil level unit.
When two continuous detection periods are detected, the trend of the oil level changes to be rising, which indicates that poor equipment sealing performance may exist, the specific reason may be that the sealing effect of a sealing ring is poor, and the like, and the possibility that moisture or rainwater in the air enters the equipment exists, at this time, the oil level is judged to be abnormal, the abnormal type is the poor equipment sealing performance, and the serious defect is provided, and a reference strategy is given: and (3) carrying out an oiling test (detecting the content of gas components in oil and micro water), shortening the oil level detection period to 3 days once, enabling equipment to normally operate in a short time, but having the possibility of endangering the safety of a power grid, the equipment and a human body, and arranging power failure maintenance work as soon as possible by combining test results.
When detecting two continuous detection periods and the oil level change is decreased by one unit, indicating that the equipment has slight leakage and oil leakage, judging that the oil level is abnormal, wherein the abnormal type is slight leakage oil, belonging to hidden danger, and giving a reference strategy: the detection period is shortened to once per week, and tracking monitoring is enhanced.
When two continuous detection periods are detected, the oil level change of each period is reduced by more than one unit but less than two units, the oil level is judged to be abnormal, the abnormal type is the oil leakage of the equipment, the oil level is judged to belong to the common defects, and a reference suggestion is given: and (3) carrying out an oiling test, shortening the oil level detection period to once per week, enabling the equipment to normally operate in a short time, but having the possibility of endangering the safety of a power grid, the equipment and a person, and carrying out defect elimination work by combining with the overhaul period.
When the equipment is detected to descend for more than two units in two continuous detection periods, the possibility of a large amount of oil leakage of the equipment is indicated, the oil level is judged to be abnormal, the abnormal type is the large amount of oil leakage of the equipment, the serious defect is caused, and a reference strategy is given: and (3) carrying out an oiling test, shortening the detection period to 3 days, constructing an expert group, and combining the test result and the oil level change trend to arrange defect elimination work as soon as possible.
When the oil level of the equipment is detected to be less than 40 units, the oil level of the equipment is judged to be abnormal, the abnormal type is that the oil level is low due to the fact that the oil level is leaked in a large amount, the equipment endangers the safety of a power grid, the equipment and a person, the equipment cannot continue to operate, and the equipment belongs to a critical defect, and a reference strategy is given: carrying out an oiling test, analyzing the fault reason and judging whether an abnormal discharge phenomenon exists in the equipment; and establishing an expert group to discuss an emergency scheme and arranging power failure maintenance work as soon as possible.
It should be noted that, when the oil level is decreased by one unit, it indicates that the oil level is decreased by a small margin in the detection period, and when the oil level is decreased by two units, it indicates that the oil level is decreased by a large margin in the detection period, in this embodiment, after the detection period is shortened, the unit of the trend of the oil level change in each abnormal type determination is correspondingly reduced, for example, when the detection period is reduced to 3 days, the unit of the decrease is correspondingly reduced to 0.1 unit of the decrease.
Referring to fig. 2, the second embodiment of the present invention is:
a terminal 1 for judging the abnormal oil level of an oil-filled primary device based on a visual system comprises a memory 3, a processor 2 and a computer program which is stored on the memory 3 and can run on the processor 2, wherein the first step of the embodiment is realized when the processor 2 executes the computer program.
In summary, the method and the terminal for judging the oil level abnormality of the oil-filled primary equipment based on the visual system, provided by the invention, describe the oil level observation window of the transformer substation primary oil-filled bushing in a gridding and equivalent quantitative manner, can represent the current oil level value by specific data and describe an oil level change curve, replace the original descriptions of "normal", "higher" and "lower", compensate the oil level according to the real-time environmental temperature, use an intelligent inspection robot or an unmanned aerial vehicle as a carrier, and perform periodic detection and abnormality prompt by using the advantage that the shooting position and the angle are the same each time, so that operation and maintenance personnel can make a corresponding strategy.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent changes made by using the contents of the present specification and the drawings, or applied directly or indirectly to the related technical fields, are included in the scope of the present invention.

Claims (10)

1. A method for judging the abnormality of an oil level of primary oil-filled equipment based on a visual system is characterized by comprising the following steps:
step S1, acquiring real-time oil level readings of the oil-filled primary equipment at fixed points by adopting an inspection robot, an unmanned aerial vehicle or a temperature measuring pan-tilt;
step S2, obtaining the current temperature, and obtaining and storing the compensated oil level reading according to the current temperature compensated real-time oil level reading;
and step S3, comparing the compensated oil level reading of the current period with the compensated oil level reading of the previous period to obtain an oil level variation trend, and obtaining whether the oil level is abnormal or not and the abnormal category according to the oil level variation trend.
2. The method for determining abnormality of oil level in oil-filled primary equipment based on visual system as claimed in claim 1, wherein said step S2 includes:
and acquiring a stored temperature compensation coefficient according to the current temperature, and multiplying the temperature compensation coefficient and the real-time oil level reading to obtain a compensated oil level reading, wherein the temperature compensation coefficient is less than 1 when the current temperature is greater than the preset temperature and is greater than 1 when the current temperature is less than the preset temperature.
3. The method for judging the oil level abnormality of the oil-filled primary equipment based on the visual system as claimed in claim 1, wherein the obtaining of the oil level reading of the oil-filled primary equipment specifically comprises one or more of the following steps:
shooting an oil level observation window image, and acquiring an oil level reading according to an image identification mode;
shooting an oil temperature dial image, acquiring oil temperature dial reading according to an image recognition mode, and acquiring oil level reading according to a transformer conservator oil temperature-oil level curve;
an infrared temperature image is obtained by adopting an infrared shooting technology, and then an oil level reading is obtained by utilizing an image recognition technology.
4. The method for determining abnormality of oil level in oil-filled primary equipment based on visual system as claimed in claim 1, wherein said step S3 further comprises:
and giving a reference strategy according to the abnormal category.
5. The method for determining abnormality of oil level in oil-filled primary equipment based on visual system as claimed in claim 1, wherein said step S3 includes:
when two continuous detection periods are detected, if the oil level changes in a rising trend, the oil level is judged to be abnormal, the abnormal type is poor equipment sealing performance, and the detection period is shortened to a set first period;
when two continuous detection periods are detected, the oil level is judged to be abnormal when the change of the oil level is accumulated and reduced by a set first threshold value, the abnormal oil is slightly leaked, the detection period is shortened to a set second period, and the second period is longer than the first period;
when two continuous detection periods are detected, the oil level descending amplitude is larger than the first threshold value but smaller than a set second threshold value, the oil level is judged to be abnormal, the abnormal type is the oil leakage of the equipment, and the detection period is shortened to the second period;
when two continuous detection periods of the equipment are detected, the oil level descending amplitude is larger than a second threshold value, the oil level is judged to be abnormal, the abnormal type is that a large amount of oil leaks from the equipment, and the period is shortened to the first period;
when 4/5 that the compensated oil level reading is less than the full oil level is detected, the oil level is judged to be abnormal, and the abnormal oil level is caused to be low due to the fact that the equipment leaks a lot of oil.
6. A visual system-based terminal for judging the abnormal oil level of oil-filled primary equipment comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, and is characterized in that the processor executes the computer program to realize the following steps:
step S1, acquiring real-time oil level readings of the oil-filled primary equipment at fixed points by adopting an inspection robot, an unmanned aerial vehicle or a temperature measuring pan-tilt;
step S2, obtaining the current temperature, and obtaining and storing the compensated oil level reading according to the current temperature compensated real-time oil level reading;
and step S3, comparing the compensated oil level reading of the current period with the compensated oil level reading of the previous period to obtain an oil level variation trend, and obtaining whether the oil level is abnormal or not and the abnormal category according to the oil level variation trend.
7. The visual system-based oil level abnormality terminal for oil-filled primary equipment according to claim 6, wherein said step S2 includes:
and acquiring a stored temperature compensation coefficient according to the current temperature, and multiplying the temperature compensation coefficient and the real-time oil level reading to obtain a compensated oil level reading, wherein the temperature compensation coefficient is less than 1 when the current temperature is greater than the preset temperature and is greater than 1 when the current temperature is less than the preset temperature.
8. The visual system-based terminal for determining abnormal oil level of oil-filled primary equipment according to claim 6, wherein the obtaining of the oil level reading of the oil-filled primary equipment specifically comprises one or more of the following:
shooting an oil level observation window image, and acquiring an oil level reading according to an image identification mode;
shooting an oil temperature dial image, acquiring oil temperature dial reading according to an image recognition mode, and acquiring oil level reading according to a transformer conservator oil temperature-oil level curve;
an infrared temperature image is obtained by adopting an infrared shooting technology, and then an oil level reading is obtained by utilizing an image recognition technology.
9. The visual system-based oil level abnormality terminal for oil-filled primary equipment according to claim 6, wherein said step S3 further comprises:
and giving a reference strategy according to the abnormal category.
10. The visual system-based oil level abnormality terminal for oil-filled primary equipment according to claim 6, wherein said step S3 includes:
when two continuous detection periods are detected, if the oil level changes in a rising trend, the oil level is judged to be abnormal, the abnormal type is poor equipment sealing performance, and the detection period is shortened to a set first period;
when two continuous detection periods are detected, the oil level is judged to be abnormal when the change of the oil level is accumulated and reduced by a set first threshold value, the abnormal oil is slightly leaked, the detection period is shortened to a set second period, and the second period is longer than the first period;
when two continuous detection periods are detected, the oil level descending amplitude is larger than the first threshold value but smaller than a set second threshold value, the oil level is judged to be abnormal, the abnormal type is the oil leakage of the equipment, and the detection period is shortened to the second period;
when two continuous detection periods of the equipment are detected, the oil level descending amplitude is larger than a second threshold value, the oil level is judged to be abnormal, the abnormal type is that a large amount of oil leaks from the equipment, and the detection period is shortened to the first period;
when 4/5 that the compensated oil level reading is less than the full oil level is detected, the oil level is judged to be abnormal, and the abnormal oil level is caused to be low due to the fact that the equipment leaks a lot of oil.
CN202111239405.7A 2021-10-25 2021-10-25 Method and terminal for judging oil level abnormity of oil-filled primary equipment based on visual system Pending CN114353897A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115076601A (en) * 2022-05-10 2022-09-20 潍柴动力股份有限公司 Method, device and system for detecting credibility of residual liquid level of gas tank

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115076601A (en) * 2022-05-10 2022-09-20 潍柴动力股份有限公司 Method, device and system for detecting credibility of residual liquid level of gas tank
CN115076601B (en) * 2022-05-10 2024-02-20 潍柴动力股份有限公司 Method, device and system for detecting reliability of residual liquid level of gas tank

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