CN112557991A - Current transformer fault diagnosis method based on mole number and temperature - Google Patents
Current transformer fault diagnosis method based on mole number and temperature Download PDFInfo
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- CN112557991A CN112557991A CN202011264192.9A CN202011264192A CN112557991A CN 112557991 A CN112557991 A CN 112557991A CN 202011264192 A CN202011264192 A CN 202011264192A CN 112557991 A CN112557991 A CN 112557991A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/02—Testing or calibrating of apparatus covered by the other groups of this subclass of auxiliary devices, e.g. of instrument transformers according to prescribed transformation ratio, phase angle, or wattage rating
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Abstract
The invention provides a current transformer fault diagnosis method, a device and a storage medium based on mole number and temperature, wherein the method comprises the following steps: collecting the pressure and temperature of the gas in the current transformer and calculating the number of moles of the gas in the current transformer; describing the dependence of the gas molar quantity on the temperature according to the temperature and the gas molar quantity, comprising: drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, and fitting a trend line function; and carrying out fault diagnosis on the current transformer based on the correlation between the gas molar quantity and the temperature. By the technical scheme provided by the invention, the 24-hour uninterrupted monitoring of the current transformer is realized on line, the operation and fault states of the current transformer equipment can be evaluated, accidents are prevented, and a feasible means is provided for the real-time monitoring of the operation and fault states of the equipment.
Description
Technical Field
The invention relates to the technical field of current transformer fault diagnosis, in particular to a current transformer fault diagnosis method and device based on mole number and temperature and a storage medium.
Background
A large amount of oil-filled electrical equipment runs in an existing power system, and comprises oil-poor equipment such as a transformer high-voltage bushing, a current transformer and a circuit breaker, and the insulation state of the oil-poor equipment and the running state of an internal mechanism have important significance for safe and stable running of the power system in the running process of a transformer substation. However, these devices may be out of order due to improper manufacturing, maintenance, and oil degradation, and serious accidents such as explosion and fire may occur, which affect the safe and stable operation and power supply reliability of the power grid.
At present, the transformer substation generally adopts manual patrol for maintaining the equipment, and a small part of the equipment can be combined with insulation online monitoring. The manual inspection is that the inspection is performed by using operators and the periodic spot inspection is performed by testers. The traditional detection and analysis method comprises the steps of ultrasonic partial discharge, infrared temperature measurement, oil chromatographic analysis and the like. However, with the continuous improvement of voltage class and the increase of equipment capacity in recent years, the traditional offline preventive test method cannot meet the actual requirement of safe operation of modern large-scale power equipment, and it is difficult to truly reflect the insulation conditions of various types of equipment such as bushings, current transformers and the like under the operation condition. Since the preventive test is carried out according to a fixed period, the preventive test cannot be found, tracked and maintained in time, and has great limitation.
The traditional maintenance method mainly comprises daily detection and power failure detection. Wherein the daily maintenance comprises component inspection and heating detection; the power failure test comprises insulation resistance measurement, polarization coefficient measurement, capacitance and dielectric loss factor measurement, partial discharge measurement and transformer oil inspection (a current transformer can be electrified to take oil).
The part inspection in daily maintenance generally detects whether oil leaks, the anticorrosive inspection of metalwork, insulator outward appearance detection, ground connection condition inspection, and for current transformer, still need the flexible volume of inspection expander to confirm the oil level condition. The heating detection is very effective for finding out the thermal defects and hot spots of the oil-poor equipment, and can find out overheating caused by poor contact of contact points or overhigh temperature caused by local defects.
The insulation performance test is carried out by regularly cutting off the power of the oil-less equipment before operation and every few years after operation so as to judge the insulation condition of the oil-less equipment; meanwhile, the gas content and the moisture content in the oil can be measured in the power failure maintenance period, and the analysis and the detection of the dissolved gas in the oil are still one of the methods for fault diagnosis of oil-filled electrical equipment at present.
Although the conventional method adopted at present can detect partial faults, the early diagnosis effect on the faults is poor, the effect of carrying out a partial discharge test on site is not ideal, a current transformer cannot carry out electrified oil extraction analysis, and the method is more difficult when chromatographic analysis data is abnormal and needs to be sampled and tracked. Meanwhile, the periodic detection cannot prevent sudden accidents.
In oil-less equipment such as a high-voltage bushing of a transformer, a current transformer and the like, insulating oil in a sealed state can be decomposed to release a certain amount of gas due to the influence of insulation damage and other reasons in the operation process, the insulating oil of the current transformer is mineral oil obtained by distilling and refining natural petroleum, is a mixture consisting of hydrocarbons with different molecular weights, and comprises alkane, alkene, cycloalkane, aromatic hydrocarbon and the like; when discharge or overheating faults exist in the equipment, characteristic gases such as H2, CH4, C2H6, C2H4, C2H2, CO and CO2 can be generated, the generated gases are dissolved in oil and released to the oil surface, the gases on the oil surface are gradually accumulated due to the fact that the current transformer is of a sealing structure, the gas pressure is increased to act on liquid insulating oil, oil pressure is gradually increased and accumulated for a long time, certain air pressure is formed in the cavity, and oil injection and even explosion can be caused in severe cases. Currently, the detection of characteristic gas mainly comprises two modes: oil gas spectrum analysis and pressure monitoring. Generally, the oil chromatographic analysis is carried out by adopting a manual sampling mode to regularly monitor the content of acetylene, hydrogen and total hydrocarbon dissolved in oil of the oil-less equipment, but the method has a long period, and cannot find the abnormity appearing between two detection intervals, so that potential safety hazards exist.
Disclosure of Invention
The invention mainly aims to provide a current transformer fault diagnosis method, a current transformer fault diagnosis device and a storage medium based on correlation between molar quantity and temperature, and aims to solve the problems of gas pressure temperature monitoring and fault diagnosis in the existing current transformer.
In order to achieve the above object, the present invention provides a current transformer fault diagnosis method based on mole number and temperature, including:
collecting the pressure and temperature of the gas in the current transformer and calculating the number of moles of the gas in the current transformer;
describing the dependence of the gas molar quantity on the temperature according to the temperature and the gas molar quantity, comprising: drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, and fitting a trend line function; wherein the correlation between the gas molar quantity and the temperature comprises an alarm line, an early warning line and a trend line; the alarm line is a first diagnosis threshold value with the number of moles of gas equal to the preset number; the early warning line comprises a second diagnosis threshold value equal to the number of the gas moles;
and carrying out fault diagnosis on the current transformer based on the correlation between the gas molar quantity and the temperature.
Further, the first diagnostic threshold includes an upper alarm limit and a lower alarm limit, the upper alarm limit is a preset maximum gas mole number of the current transformer, and the lower alarm limit is a preset minimum gas mole number of the current transformer.
Further, the alarm upper limit value is 10, and the alarm lower limit value is 2.5.
Further, the second diagnosis threshold comprises an early warning upper limit value, an early warning lower limit value, an early warning upper relation line and an early warning lower relation line; the early warning upper limit value is 8.5, and the early warning lower limit value is 3.0; wherein the content of the first and second substances,
the relation of the relation line on the early warning is as follows: y is 0.035 x-2;
the relation of the relation line under the early warning is as follows: y is 0.035 x-6.5;
wherein y is the number of moles; x is the temperature.
Further, the relationship of the trend line is as follows:
y＝kx+b；
wherein k is a trend value; b is a constant coefficient, and the molar value is taken at the temperature of 293K.
Further, the normal range of the trend value k is 0.02-0.05.
Further, the fault diagnosis comprises scattered point distribution region diagnosis and trend line diagnosis; the scattered point distribution area diagnosis is based on an alarm area, an early warning area and a normal data area; the warning area is an area defined by a warning line, the early warning area is an area defined by both the early warning line and the warning line, and the normal data area is an area defined by the early warning line; the trend line diagnosis is a diagnosis comparing an actual trend line with a normal tolerance range.
Furthermore, the present invention provides a current transformer fault diagnosis device based on mole number and temperature, which includes a memory and a processor, wherein the memory stores a current transformer fault diagnosis program based on mole number and temperature, which is executable on the processor, and the current transformer fault diagnosis program based on mole number and temperature is executed by the processor to implement the steps of the current transformer fault diagnosis method based on mole number and temperature.
Meanwhile, the present invention provides a storage medium, which is a computer-readable storage medium, on which a current transformer fault diagnosis program based on a mole number and a temperature is stored, and which is executable by one or more processors to implement the steps of the current transformer fault diagnosis method based on a mole number and a temperature as described above.
The invention provides a current transformer fault diagnosis method, a device and a storage medium based on mole number and temperature, which describe the correlation between the mole number of gas and the temperature according to the temperature and the mole number of gas, and comprise the following steps: the method comprises the steps of drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, fitting a trend line function, and realizing fault diagnosis of the current transformer, thereby realizing 24-hour uninterrupted monitoring of the current transformer on line, evaluating the operation and fault state of the current transformer equipment, preventing accidents and providing a feasible means for real-time monitoring of the operation and fault state of the equipment.
Drawings
Fig. 1 is a schematic flowchart of a fault diagnosis method for a current transformer based on mole number and temperature according to an embodiment of the present invention;
FIG. 2 is a graph illustrating the dependence of molar density on temperature provided by one embodiment of the present invention;
FIG. 3 is a graph of molar quantity versus temperature provided by one embodiment of the present invention;
FIG. 4 is a graphical illustration of a correlation diagnostic of the molar quantity of gas with temperature data provided in accordance with an embodiment of the present invention;
fig. 5 is a schematic diagram of an internal structure of a current transformer fault diagnosis device based on mole number and temperature according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a module of a current transformer fault diagnosis program based on mole number and temperature in a current transformer fault diagnosis apparatus based on mole number and temperature according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. 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.
Referring to fig. 1, an embodiment of the present invention provides a current transformer fault diagnosis method based on a number of moles and a temperature, including:
step S11: collecting the pressure and temperature of the gas in the current transformer and calculating the number of moles of the gas in the current transformer;
step S12: describing the dependence of the gas molar quantity on the temperature according to the temperature and the gas molar quantity, comprising: drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, and fitting a trend line function; wherein the correlation between the gas molar quantity and the temperature comprises an alarm line, an early warning line and a trend line; the alarm line is a first diagnosis threshold value with the number of moles of gas equal to the preset number; the early warning line comprises a second diagnosis threshold value equal to the number of the gas moles;
step S13: and carrying out fault diagnosis on the current transformer based on the correlation between the gas molar quantity and the temperature.
Specifically, the first diagnostic threshold includes an upper alarm limit and a lower alarm limit, where the upper alarm limit is a preset maximum number of moles of gas of the current transformer, and the lower alarm limit is a preset minimum number of moles of gas of the current transformer, and in an embodiment, the upper alarm limit is 10 and the lower alarm limit is 2.5. The second diagnosis threshold comprises an early warning upper limit value, an early warning lower limit value, an early warning upper relation line and an early warning lower relation line; the early warning upper limit value is 8.5, and the early warning lower limit value is 3.0;
wherein the content of the first and second substances,
the relation of the relation line on the early warning is as follows: y is 0.035 x-2;
the relation of the relation line under the early warning is as follows: y is 0.035 x-6.5;
wherein y is the number of moles; x is the temperature.
The relationship of the trend line is as follows:
y＝kx+b；
wherein k is a trend value; b is a constant coefficient, and the molar value is taken at the temperature of 293K. Preferably, the normal range of the trend value k is 0.02-0.05.
The fault diagnosis comprises scattered point distribution region diagnosis and trend line diagnosis; the scattered point distribution area diagnosis is based on an alarm area, an early warning area and a normal data area; the warning area is an area defined by a warning line, the early warning area is an area defined by both the early warning line and the warning line, and the normal data area is an area defined by the early warning line; the trend line diagnosis is a diagnosis comparing an actual trend line with a normal tolerance range.
Specifically, in one embodiment of the present invention, the insulating oil of the current transformer is a mineral oil obtained by distilling and refining natural petroleum, and is a mixture of hydrocarbons with different molecular weights, including alkanes, alkenes, cycloalkanes, aromatics, and the like. When discharge or overheating faults exist in the equipment, gases such as H2, CH4, C2H6, C2H4, C2H2, CO and CO2 can be generated, the generated gases are dissolved in oil and released to the oil surface, the gases on the oil surface are gradually accumulated due to the fact that the current transformer is of a sealing structure, the gas pressure is increased to act on liquid insulating oil, oil pressure is gradually increased, and therefore online monitoring of insulation defects in the current transformer can be achieved by obtaining changes of the gas pressure.
The molar amount of gas inside the current transformer is in a steady state equilibrium. At the same time, a certain amount of gas molecules are dissolved into the oil, and simultaneously a certain amount of gas molecules are resolved out of the oil and enter the upper layer of the current transformer. When the state is constant (temperature and pressure are stable), the molar quantity of the gas reaches a stable state, namely steady state equilibrium. As the temperature increases, the solubility of the gas in the oil decreases, resulting in an increase in the number of gas molecules in the current transformer; as the temperature increases, the volume of the insulating oil expands, increasing approximately linearly. Because the load current of the equipment is relatively stable, the load current does not have short-time severe change, the temperature of the atmospheric environment changes slowly, and the change interval is limited, the occurrence of the equipment fault has a longer development period (hidden trouble period), the diagnosis is mainly aimed at making a diagnosis conclusion within the fault development period (hidden trouble period), and the steady state can meet the requirement.
Therefore, by collecting the gas pressure and temperature in the current transformer and calculating the gas molar quantity in the current transformer, the correlation between the gas molar quantity and the temperature is described according to the temperature and the gas molar quantity, and the correlation comprises the following steps: and drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, and fitting a trend line function to realize fault diagnosis of the current transformer.
Specifically, the collection of the gas pressure and temperature in the current transformer can be realized by an oil-gas pressure sensor and a temperature sensor which are arranged in the current transformer, and the environment temperature where the current transformer is located can also be approximately used. The number of moles of gas in the current transformer is calculated by using an ideal gas state equation based on the gas pressure, temperature and the like in the current transformer acquired through actual acquisition.
As the temperature of the oil and gas increases, the solubility of the gas in the oil decreases, resulting in an increase in the number of moles (number of molecules) of gas in the current transformer; through engineering empirical data, the correlation between the number of moles of gas in the current transformer and the temperature can be obtained. Under the normal condition of the equipment, the number of moles of the gas in the current transformer calculated by the algorithm and the measured temperature are in accordance with or close to the correlation, and if a large deviation occurs, the fault is considered to occur. The upward deviation is a gas fault caused by internal abnormality, and the downward deviation is a fault of less oil and oil leakage.
Referring to fig. 2 and 3 in combination, the advantages of using the molar quantity of gas instead of the molar density for temperature dependence studies are: as can be seen from the comparative analysis between the "correlation graph between molar density and temperature" in FIG. 2 and the "correlation graph between molar quantity and temperature" in FIG. 3, the correlation indexes of the two data and the fitting relation are greatly different, and the correlation index of the "correlation graph between molar quantity and temperature" is larger, R is larger2The molar quantity of the gas is more than 0.9, which indicates that the molar quantity of the gas has better correlation with the temperature, so that the accurate diagnosis result can be obtained by using the molar quantity of the gas to replace the molar density for temperature correlation research.
Referring to fig. 4, the relationship between the number of moles of gas and the temperature data is fitted and analyzed for deviation, so that the number of moles of gas has a good linear relationship with the temperature. This linear relationship (trend line) represents the characteristic of the increasing amount of gas released by the oil in the current transformer with increasing temperature. By performing threshold judgment on the linear relational coefficient range and the original data range, the state evaluation of the oil decomposition release gas in the current transformer can be obtained.
Specifically, the fault diagnosis is divided into discrete point distribution area diagnosis and trend line diagnosis, as shown in fig. 4:
the diagnosis of the scattered point distribution area is based on the alarm area 10, the early warning area 20 and the normal data area 30; the warning region 10 is an area defined by a warning line, the early warning region 20 is an area defined by both an early warning line and a warning line, and the normal data region 30 is an area defined by an early warning line; the trend line diagnosis is a diagnosis comparing an actual trend line with the normal allowable range 40. Specifically, in an embodiment of the present invention, the alarm area 10, the early warning area 20, the normal data area 30, and the trend line range 40 are as follows:
alarm area 10: the alarm zone 10 is the area delimited by an alarm line for the number of moles of gas equal to a preset first diagnostic threshold; specifically, the first diagnostic threshold includes an upper alarm limit and a lower alarm limit, the upper alarm limit is a preset maximum gas mole number of the current transformer, and the lower alarm limit is a preset minimum gas mole number of the current transformer. Specifically, in one embodiment, the alarm upper limit value is y equal to 10, that is, the first alarm line 101; the alarm lower limit value y is 2.5, i.e., the second alarm line 102, and the alarm region 10 is a region that is greater than the alarm upper limit value and less than the alarm lower limit value, i.e., a region other than the first alarm line 101 and the second alarm line 102 in the figure. And when the alarm upper limit value or the alarm lower limit value is exceeded, triggering the system to alarm.
The early warning area 20: the early warning area is an area defined by an early warning line and an alarm line together, and the early warning line comprises a second diagnosis threshold value equal to the number of moles of gas; specifically, in an embodiment, the second diagnostic threshold includes an early warning upper limit, an early warning lower limit, an early warning upper relationship line, and an early warning lower relationship line, where y is 8.5, that is, the first early warning line 201; the lower warning limit value is 3.0, i.e. the second warning line 202. The relation of the relation line on the early warning is as follows:
y＝0.035x-2；
namely a third precaution line 203;
the relation of the relation line under the early warning is as follows:
y＝0.035x-6.5；
i.e., the fourth precaution line 204;
wherein y is the number of moles; x is the temperature.
The early warning line is formed by combining a first early warning line 201, a second early warning line 202, a third early warning line 203 and a fourth early warning line 204. The area between the early warning line and the alarm line is the early warning zone 20, which triggers a system early warning when any monitored data falls in this area.
Normal data area 30: the normal data area is an area defined by an early warning line; specifically, the entire region enclosed by the first and third warning lines 201 and 203 at the upper limit and the second and fourth warning lines 202 and 204 at the lower limit should be considered as normal when any monitoring data falls in the region.
Trend line range 40: the trend line diagnosis is based on the comparison between an actual trend line and a normal range trend line, and the relationship of the trend line is as follows:
y＝kx+b；
wherein k is a trend value; b is a constant coefficient, and the molar value is taken at the temperature of 293K.
The normal range of the trend value k is 0.02-0.05.
The trend line range 40, i.e. two intersecting straight lines of the first trend line 401 and the second trend line 402 in the graph, is a trend line range line, and the enclosed area is a trend line normal area 410 and is outside a trend line abnormal area 420.
Specifically, during fault diagnosis, the gas pressure and temperature in the current transformer are collected, the number of moles of gas in the current transformer is calculated, trend fitting of data is performed by taking a period of time as a unit (for example, one week or one month time), a least square method is adopted, a fitted linear relation expression y is made to be kx + b, andcalculating a correlation index R2，R2It is reasonable to be > 0.9 if R is not satisfied2If the value is more than 0.9, the data is abnormal or the fitting process is abnormal. Defining two trend line range lines as y being 0.05x + b1 and 0.02x + b2 respectively, and substituting a linear relational expression y being kx + b and x being 293K into a value y; and then, the values of x 293K and y are respectively substituted into the values of y 0.05x + b1 and y 0.02x + b2, so that the values of b1 and b2 are obtained, and the expressions of the two trend line range lines are obtained. The method realizes that the A-phase, B-phase and C-phase three-phase data lines pass through a 293K (20 ℃) temperature point, and is convenient for visual imaging of diagnosis results. Further, a reasonable trend range is judged, specifically:
(1) the graph observation method comprises the following steps: if the trend line of the original monitoring data falls within the range of the trend line, the state is normal; when this range is exceeded, an abnormal state is indicated.
(2) Trend value diagnostic algorithm: and judging the coefficient k value in the fitted trend line relational expression, wherein the normal range is (0.02, 0.05), and if the coefficient k value exceeds the normal range, the abnormal state is determined.
The correlation (trend line) between the number of moles of gas and the temperature is a characteristic of the quality state of the oil inside the equipment, and can be kept stable for a long time under normal conditions. When the physicochemical property of the oil in the equipment is changed, the correlation (trend line) between the gas molar quantity and the temperature is deviated, the deviation is normal within a certain range, and when the deviation exceeds the set allowable range, the quality of the oil is abnormal.
For example: when the tendency coefficient k is larger than 0.05, the oil may be degraded seriously; when the tendency coefficient k is less than 0.02, there is a possibility that the gas inside the apparatus is too little or leaks.
In addition, the invention also provides a current transformer fault diagnosis device based on the mole number and the temperature.
Referring to fig. 5, an internal structure diagram of a current transformer fault diagnosis device based on a mole number and a temperature according to an embodiment of the present invention is provided, where the current transformer fault diagnosis device based on a mole number and a temperature at least includes a memory 11, a processor 12, a communication bus 13, and a network interface 14.
The memory 11 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, and the like. The memory 11 may be an internal storage unit of the current transformer fault diagnosis apparatus based on the mole number and the temperature in some embodiments, for example, a hard disk of the current transformer fault diagnosis apparatus based on the mole number and the temperature. The memory 11 may also be an external storage device of the current transformer fault diagnosis apparatus based on the mole number and the temperature in other embodiments, for example, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, which is equipped on the current transformer fault diagnosis apparatus based on the mole number and the temperature. Further, the memory 11 may include both an internal storage unit and an external storage device of the current transformer fault diagnosis apparatus based on the number of moles and the temperature. The memory 11 may be used to store not only application software installed in the current transformer fault diagnosis apparatus based on the number of moles and the temperature and various types of data, such as codes of a current transformer fault diagnosis program based on the number of moles and the temperature, but also to temporarily store data that has been output or is to be output.
The processor 12 may be a Central Processing Unit (CPU), a controller, a microcontroller, a microprocessor or other data Processing chip in some embodiments, and is used to execute program codes stored in the memory 11 or process data, such as performing a current transformer fault diagnosis program based on mole number and temperature.
The communication bus 13 is used to realize connection communication between these components.
The network interface 14 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), and is typically used to establish a communication link between the mole number and temperature based current transformer fault diagnosis apparatus and other electronic devices.
Optionally, the current transformer fault diagnosis device based on mole number and temperature may further include a user interface, the user interface may include a Display (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface may further include a standard wired interface and a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or a display unit, is used to display information processed in the current transformer fault diagnosis apparatus based on the number of moles and the temperature, and to display a visual user interface.
While fig. 5 shows only a mole number and temperature based current transformer fault diagnosis apparatus having components 11-14 and a mole number and temperature based current transformer fault diagnosis procedure, those skilled in the art will appreciate that the configuration shown in fig. 5 does not constitute a limitation of a mole number and temperature based current transformer fault diagnosis apparatus, and may include fewer or more components than shown, or combine certain components, or a different arrangement of components.
In the embodiment of the current transformer fault diagnosis device based on the mole number and the temperature shown in fig. 5, a current transformer fault diagnosis program based on the mole number and the temperature is stored in the memory 11; when the processor 12 executes the current transformer fault diagnosis program based on the mole number and the temperature stored in the memory 11, the following steps are realized:
step S11: collecting the pressure and temperature of the gas in the current transformer and calculating the number of moles of the gas in the current transformer;
step S12: describing the dependence of the gas molar quantity on the temperature according to the temperature and the gas molar quantity, comprising: drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, and fitting a trend line function;
step S13: and carrying out fault diagnosis on the current transformer based on the correlation between the gas molar quantity and the temperature.
Referring to fig. 6, a schematic diagram of program modules of a current transformer fault diagnosis program based on mole number and temperature in an embodiment of the current transformer fault diagnosis device based on mole number and temperature of the present invention is shown, in which the current transformer fault diagnosis program based on mole number and temperature may be divided into an acquisition module 10, a calculation module 20, a setting module 30, and a diagnosis module 40, which exemplarily:
the acquisition module 10 is used for acquiring the pressure and temperature of the gas in the current transformer;
the calculation module 20 is used for calculating the number of moles of gas in the current transformer;
a setting module 30 for setting a diagnostic threshold;
and the diagnosis module 40 is used for diagnosing the fault of the current transformer based on the mole number and the temperature.
The functions or operation steps of the acquisition module 10, the calculation module 20, the setting module 30, the diagnosis module 40 and other program modules implemented when executed are substantially the same as those of the above embodiments, and are not repeated herein.
Furthermore, an embodiment of the present invention further provides a storage medium, where the storage medium is a computer-readable storage medium, and the storage medium stores a current transformer fault diagnosis program based on a number of moles and a temperature, where the current transformer fault diagnosis program based on the number of moles and the temperature is executable by one or more processors to implement the following operations:
step S11: collecting the pressure and temperature of the gas in the current transformer and calculating the number of moles of the gas in the current transformer;
step S12: describing the dependence of the gas molar quantity on the temperature according to the temperature and the gas molar quantity, comprising: drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, and fitting a trend line function;
step S13: and carrying out fault diagnosis on the current transformer based on the correlation between the gas molar quantity and the temperature.
The embodiment of the storage medium of the present invention is substantially the same as the embodiments of the method and the apparatus for diagnosing the fault of the current transformer based on the number of moles and the temperature, and will not be described herein in a repeated manner.
Compared with the prior art, the method, the device and the storage medium for diagnosing the fault of the current transformer based on the mole number and the temperature, which are provided by the invention, describe the correlation between the gas mole number and the temperature according to the temperature and the gas mole number, and comprise the following steps: the method comprises the steps of drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, fitting a trend line function, and realizing fault diagnosis of the current transformer, thereby realizing 24-hour uninterrupted monitoring of the current transformer on line, evaluating the operation and fault state of the current transformer equipment, preventing accidents and providing a feasible means for real-time monitoring of the operation and fault state of the equipment.
It should be noted that the above-mentioned numbers of the embodiments of the present invention are merely for description, and do not represent the merits of the embodiments. And the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, apparatus, article, or method that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above, and includes instructions for enabling a terminal device (e.g., a drone, a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (9)
1. A current transformer fault diagnosis method based on mole number and temperature is characterized by comprising the following steps:
collecting the pressure and temperature of the gas in the current transformer and calculating the number of moles of the gas in the current transformer;
describing the dependence of the gas molar quantity on the temperature according to the temperature and the gas molar quantity, comprising: drawing a scatter diagram and a correlation trend line in a two-dimensional plane space, and fitting a trend line function; wherein the correlation between the gas molar quantity and the temperature comprises an alarm line, an early warning line and a trend line; the alarm line is a first diagnosis threshold value with the number of moles of gas equal to the preset number; the early warning line comprises a second diagnosis threshold value equal to the number of the gas moles;
and carrying out fault diagnosis on the current transformer based on the correlation between the gas molar quantity and the temperature.
2. The current transformer fault diagnosis method based on mole number and temperature according to claim 1, wherein the first diagnosis threshold comprises an upper alarm limit and a lower alarm limit, the upper alarm limit is a preset maximum mole number of gases of the current transformer, and the lower alarm limit is a preset minimum mole number of gases of the current transformer.
3. The mole number and temperature based current transformer fault diagnosis method according to claim 2, wherein the alarm upper limit value is 10 and the alarm lower limit value is 2.5.
4. The current transformer fault diagnosis method based on molar quantity and temperature as claimed in claim 1, wherein the second diagnosis threshold comprises an early warning upper limit value, an early warning lower limit value, an early warning upper relation line and an early warning lower relation line; the early warning upper limit value is 8.5, and the early warning lower limit value is 3.0; wherein the content of the first and second substances,
the relation of the relation line on the early warning is as follows: y is 0.035 x-2;
the relation of the relation line under the early warning is as follows: y is 0.035 x-6.5;
wherein y is the number of moles; x is the temperature.
5. The current transformer fault diagnosis method based on molar quantity and temperature according to claim 1, wherein the relationship of the trend line is as follows:
y＝kx+b；
wherein k is a trend value; b is a constant coefficient, and the molar value is taken at the temperature of 293K.
6. The current transformer fault diagnosis method based on mole number and temperature according to claim 5, wherein the normal range of the trend value k is 0.02-0.05.
7. The current transformer fault diagnosis method based on molar quantity and temperature according to claim 1, wherein the fault diagnosis includes a scatter distribution region diagnosis and a trend line diagnosis; the scattered point distribution area diagnosis is based on an alarm area, an early warning area and a normal data area; the warning area is an area defined by a warning line, the early warning area is an area defined by both the early warning line and the warning line, and the normal data area is an area defined by the early warning line; the trend line diagnosis is a diagnosis comparing an actual trend line with a normal tolerance range.
8. A mole-number-and-temperature-based current transformer fault diagnosis apparatus, comprising a memory and a processor, wherein the memory stores a mole-number-and-temperature-based current transformer fault diagnosis program executable on the processor, and the mole-number-and-temperature-based current transformer fault diagnosis program implements the steps of the mole-number-and-temperature-based current transformer fault diagnosis method according to any one of claims 1 to 7 when executed by the processor.
9. A storage medium, wherein the storage medium is a computer-readable storage medium, and wherein a mole-number-and-temperature-based current transformer fault diagnosis program is stored on the storage medium, and the mole-number-and-temperature-based current transformer fault diagnosis program is executable by one or more processors to implement the steps of the mole-number-and-temperature-based current transformer fault diagnosis method according to any one of claims 1 to 7.
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