CN116779311B - Anticreep high permeability's electronic transformer - Google Patents
Anticreep high permeability's electronic transformer Download PDFInfo
- Publication number
- CN116779311B CN116779311B CN202311053767.6A CN202311053767A CN116779311B CN 116779311 B CN116779311 B CN 116779311B CN 202311053767 A CN202311053767 A CN 202311053767A CN 116779311 B CN116779311 B CN 116779311B
- Authority
- CN
- China
- Prior art keywords
- electronic transformer
- unit
- value
- controller
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 230000035699 permeability Effects 0.000 title claims description 7
- 230000032683 aging Effects 0.000 claims abstract description 40
- 238000004804 winding Methods 0.000 claims abstract description 19
- 238000012937 correction Methods 0.000 claims description 74
- 239000000428 dust Substances 0.000 claims description 42
- 238000009825 accumulation Methods 0.000 claims description 25
- 238000012545 processing Methods 0.000 claims description 25
- 238000005070 sampling Methods 0.000 claims description 19
- 238000000034 method Methods 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 9
- 230000000149 penetrating effect Effects 0.000 claims description 2
- 230000017525 heat dissipation Effects 0.000 abstract description 30
- 230000009466 transformation Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 239000000306 component Substances 0.000 description 4
- 238000001816 cooling Methods 0.000 description 3
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 229910000976 Electrical steel Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000003921 oil Substances 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
- H01F27/00—Details of transformers or inductances, in general
- H01F27/40—Structural association with built-in electric component, e.g. fuse
- H01F27/402—Association of measuring or protective means
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
- H01F27/00—Details of transformers or inductances, in general
- H01F27/08—Cooling; Ventilating
- H01F27/085—Cooling by ambient air
-
- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
- H01F27/00—Details of transformers or inductances, in general
- H01F27/40—Structural association with built-in electric component, e.g. fuse
- H01F27/402—Association of measuring or protective means
- H01F2027/406—Temperature sensor or protection
Landscapes
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Housings And Mounting Of Transformers (AREA)
Abstract
The application relates to an anti-leakage high-permeability electronic transformer, which comprises a bottom plate, a bracket, a magnetic core assembly, a winding coil and a shell, wherein an exhaust fan and an exhaust fan are respectively arranged on two sides of the shell. The application can start the active heat dissipation function of the electronic transformer in advance according to the ageing degree of the electronic transformer, and can better protect the aged electronic transformer.
Description
Technical Field
The application relates to the technical field of power electronics, in particular to an anti-creeping high-permeability electronic transformer.
Background
As a novel energy conversion device, the electronic transformer has the advantages of small volume, light weight, small no-load loss and no need of insulating oil and the like compared with the traditional transformer.
The electronic transformer generally comprises a bottom plate, a transformation assembly and a shell, wherein the transformation assembly comprises a bracket, a magnetic core and two or more winding coils, the transformation assembly is fixedly connected with the bottom plate, and the shell is covered outside the transformation assembly and fixedly connected with the bottom plate. At present, the magnetic core of the electronic transformer in the market is mostly made of materials with high magnetic conductivity such as silicon steel, and the winding coil is generally an insulated enameled wire, so that the electronic transformer also has the characteristics of good insulativity, electric leakage resistance, high magnetic conductivity and the like.
Like other electronic components, the electronic transformer inevitably generates heat during operation, and the heat can raise the temperature inside the electronic transformer. In order to prevent the electronic transformer from being damaged due to high temperature, some electronic transformers are provided with temperature sensors and cooling fans, real-time temperature of the electronic transformer is detected through the temperature sensors when the electronic transformer operates, and when the detected temperature reaches a preset temperature threshold value, the cooling fans are started to cool the electronic transformer.
In practice, the electronic transformer also has natural heat dissipation when the active heat dissipation is started, and when the active heat dissipation is not started, the electronic transformer also can radiate heat outwards to slowly cool down. The electronic transformer can be aged after long-time use, and the heat dissipation performance of the electronic transformer in an aged state is weaker than that of the electronic transformer when leaving a factory.
The existing electronic transformer with the active heat dissipation function calibrates a temperature threshold value when leaving a factory, and the comparison result of the detected temperature value and the temperature threshold value is used as the only basis for whether to start active heat dissipation or not, and the natural heat dissipation performance of the electronic transformer is not considered to be reduced after the electronic transformer is aged. When the aged electronic transformer starts to actively dissipate heat, the natural heat dissipation performance of the aged electronic transformer is reduced, so that the overall heat dissipation effect of the electronic transformer is reduced, the temperature reduction speed in the transformer is reduced, and the electronic transformer is unfavorable for rapid heat dissipation and temperature reduction. For an aged electronic transformer, if active heat dissipation can be started in advance before the temperature detection value reaches the temperature threshold value, the aged electronic transformer can be cooled more quickly, and therefore the aged electronic transformer can be better protected.
For the above reasons, it is desirable to design an electronic transformer that can automatically start active heat dissipation in advance.
Disclosure of Invention
Based on the above description, the application provides an anti-leakage high-permeability electronic transformer which can automatically start active heat dissipation in advance after aging.
The technical scheme for solving the technical problems is as follows:
the electronic transformer comprises a bottom plate, a bracket, a magnetic core component, a winding coil and a shell, wherein an exhaust fan and an exhaust fan are respectively arranged on two sides of the shell; the controller predicts the ageing degree of the electronic transformer according to the delivery month number, the current collection times and the current values collected by the past time of the electronic transformer, the controller presets the corresponding relation between the ageing degree and the first correction coefficient, the controller calls the corresponding first correction coefficient according to the predicted ageing degree of the electronic transformer, the controller predicts the dust accumulation degree of the electronic transformer according to the fan unit time air supply quantity of the electronic transformer, the fan running accumulation duration and the dust concentration in the environment, the controller presets the corresponding relation between the dust accumulation degree and the second correction coefficient, and the controller calls the corresponding second correction coefficient according to the predicted dust accumulation degree of the electronic transformer; and then the controller calculates the temperature value detected by the temperature sensor, the first correction coefficient and the second correction coefficient to obtain a corrected temperature value, and compares the corrected temperature value with a preset temperature threshold value, and when the temperature value is larger than the preset temperature threshold value, the controller controls the exhaust fan and the exhaust fan to start.
As a preferable scheme: the controller is internally provided with a calculation comparison unit, a prediction unit and a correction unit; in the working process of the electronic transformer, the current acquisition module acquires the current of the winding coil at intervals and feeds back the acquired real-time current value to the controller; the calculation comparison unit calculates the ratio S of the real-time current value to the rated current value of the winding coil; the calculating and comparing unit is preset with a plurality of groups of ratio intervals, each group of ratio intervals corresponds to a value, and compares the calculated ratio S with the preset groups of ratio intervals to determine which ratio interval S is located in; the prediction unit is internally defined with an aging degree prediction formula: d=a×m+b×q, q=p1×t×f1+p2×t×f2+p3×t×f3+ … … pn×t×fn; wherein a and b are weight coefficients, M is the delivery month number of the electronic transformer, Q is the accumulated usage value of the electronic transformer, pn is the midpoint value of a ratio interval where the ratio S is located, t is the acquisition interval time, fn is the assignment of the ratio interval, and n is the acquisition times of the current acquisition module; when the electronic transformer runs this time, the prediction unit feeds back the ageing degree D of the electronic transformer predicted last time to the correction unit; the correction unit presets a corresponding relation between the ageing degree D and the first correction coefficient k1, and the correction unit calls the corresponding first correction coefficient k1 according to the received ageing degree D; and in the working process of the electronic transformer, the dust sensor detects the dust concentration in the environment at intervals and feeds back the detected concentration value to the micro-processing module, and a dust accumulation degree prediction formula is defined in the prediction unit: g=ρ×u×v×t, where ρ is a preset calculation coefficient, U is an average dust concentration value of an environment where the electronic transformer is located, V is a unit-time air supply amount of the fan, and T is an accumulated time of operation of the fan; when the electronic transformer runs this time, the predicting unit feeds back the dust accumulation degree G of the electronic transformer predicted last time to the correcting unit; the correction unit is preset with a corresponding relation between the dust accumulation degree G and a second correction coefficient k2, and the correction unit invokes the corresponding second correction coefficient k2 according to the received dust accumulation degree G; the temperature sensor detects the temperature of the transformer assembly in real time and feeds the detected temperature value E back to the micro-processing module in the running process of the electronic transformer, the correction unit corrects the temperature value, and the corrected temperature value E0=Exk1 xk 2; the correction unit feeds back the corrected temperature value E0 to the calculation comparison unit, and the calculation comparison unit presets a temperature threshold W; the calculation unit compares the sizes of E0 and W.
As a preferable scheme: the calculation comparison unit is internally preset with current sampling times N, and in the whole life cycle of the electronic transformer, if the accumulated times of current sampling do not reach N times, the prediction unit does not output the ageing degree D, and only if the accumulated times of current sampling reach N times, the prediction unit predicts the ageing degree of the electronic transformer after stopping running according to the data after the N times.
As a preferable scheme: the correction unit is preset with a maximum correction coefficient kmax, the correction unit obtains the correction coefficient k through the aging degree and then compares k with kmax, when k is smaller than kmax, the correction unit outputs k to the calculation comparison unit, and when k is larger than or equal to kmax, the correction unit outputs kmax to the calculation comparison unit.
As a preferable scheme: the controller comprises a micro-processing module, a signal sampling module, a storage module, a driving module and a power supply module; the computing and comparing unit, the predicting unit and the correcting unit are integrated in the micro-processing module, the output end of the temperature sensor and the output end of the current collecting module are respectively connected with two input ends of the signal sampling module, and the output end of the signal sampling module is connected with a sampling port of the micro-processing module; the storage module is connected with the data read-write port of the micro-processing module; the input end of the driving module is connected with the control signal output end of the micro-processing module, and the output end of the driving module is connected with the driving ends of the exhaust fan and the exhaust fan; the power module is used for supplying power to the temperature sensor and the controller.
As a preferable scheme: the upper end of the bracket is fixedly connected with the end part of the magnetic core assembly, the lower end of the bracket is outwards bent and stretched out, the outer shell covers the outside of the transformer assembly, the lower edge of the outer shell outwards protrudes, the bottom surface of the lower end of the bracket is contacted with the bottom plate, and the lower edge of the outer shell is contacted with the top surface of the lower end of the bracket; the bottom plate is provided with a threaded hole, the edge of the shell and the lower end of the support are provided with through holes corresponding to the threaded hole, bolts are arranged in the through holes in a penetrating mode, and the lower ends of the bolts are screwed into the threaded holes.
Compared with the prior art, the technical scheme of the application has the following beneficial technical effects: the application can start the active heat dissipation function of the electronic transformer in advance according to the ageing degree of the electronic transformer, and the higher the ageing degree of the electronic transformer is, the larger the starting quantity is in advance, so that the active heat dissipation can be started in advance when the natural heat dissipation performance of the electronic transformer is reduced after the electronic transformer is used for a certain time and times, the heat dissipation of the aged electronic transformer can be better helped, and the components of the electronic transformer can be better protected.
Drawings
Fig. 1 is a schematic diagram of the overall structure of an electronic transformer in the present embodiment;
fig. 2 is a schematic diagram of a controller in the present embodiment.
In the drawings, the list of components represented by the various numbers is as follows:
1. a bottom plate; 2. a bracket; 3. a magnetic core assembly; 4. a winding coil; 5. a housing; 6. a bolt; 7. an exhaust fan; 8. an exhaust fan; 9. a temperature sensor; 10. a dust sensor.
Detailed Description
Referring to fig. 1, an anti-leakage high-permeability electronic transformer comprises a base plate 1, a bracket 2, a magnetic core assembly 3, a winding coil 4 and a shell 5.
The winding coil 4 is wound on the magnetic core assembly 3, the upper end of the bracket 2 is fixedly connected with the end part of the magnetic core assembly 3, and the lower end of the bracket 2 is outwards bent and stretched out. The winding coil 4, the magnetic core assembly 3 and the bracket 2 form a transformer assembly, the shell 5 covers the outside of the transformer assembly, the lower edge of the shell 5 protrudes outwards, the bottom surface of the lower end of the bracket 2 is contacted with the bottom plate 1, and the lower edge of the shell 5 is contacted with the top surface of the lower end of the bracket 2; the bottom plate 1 is provided with a threaded hole, the edge of the shell 5 and the lower end of the support 2 corresponding to the threaded hole are provided with through holes, the through holes are internally penetrated with bolts 6, the lower ends of the bolts 6 are screwed into the threaded holes, so that the bottom plate 1, the voltage transformation assembly and the shell 5 can be fixed into a whole, the three can be disassembled conveniently and rapidly after the bolts 6 are removed, and the fixing structure can be used for conveniently and rapidly disassembling the electronic transformer.
In the electronic transformer in this embodiment, an exhaust fan 7 and an exhaust fan 8 are respectively installed at two sides of the housing 5, the exhaust fan 7 is used for sending external air into the housing 5, and the exhaust fan 8 is used for sending the air in the housing 5 to the outside; the electronic transformer also comprises a controller for controlling the exhaust fan 7 and the exhaust fan 8, and a current acquisition module for acquiring the current of the winding coil 4, wherein the current acquisition module is connected to the winding coil 4; a temperature sensor 9 is mounted and fixed to the magnetic core assembly 3.
A dust sensor 10 is also mounted on the housing, the dust sensor 10 being arranged to detect the dust concentration in the environment in which the electronic transformer is located.
Referring to fig. 2, the controller in the present embodiment includes a micro-processing module, a signal sampling module, a storage module, a driving module, a communication module, and a power module.
The output end of the temperature sensor, the output end of the dust sensor and the output end of the current acquisition module are respectively connected with the input end of the signal sampling module, and the output end of the signal sampling module is connected with the sampling port of the micro-processing module; the storage module is connected with the data read-write port of the micro-processing module; the input end of the driving module is connected with the control signal output end of the micro-processing module, and the output end of the driving module is connected with the driving ends of the exhaust fan and the exhaust fan; the communication module is connected with the data receiving and transmitting port of the micro-processing module; the power module is used for supplying power to the temperature sensor and the controller.
The communication module is used for communication and data transmission between the controller and the external equipment.
The micro-processing module in this embodiment is built with a calculation comparing unit, a prediction unit and a correction unit.
The working principle of the electronic transformer is as follows:
in the working process of the electronic transformer, the current acquisition module acquires the current flowing through the winding coil at intervals and feeds the acquired real-time current value back to the micro-processing module; the calculating and comparing unit calculates the ratio S of the real-time current value to the rated current value of the winding coil; the calculating and comparing unit is preset with a plurality of groups of ratio intervals, the groups of ratio intervals are arranged from large to small, each group of ratio intervals corresponds to a value, the larger the midpoint value of the ratio interval is, the larger the value is, the calculating and comparing unit compares the calculated ratio S with the preset groups of ratio intervals, and the ratio interval where the S is determined.
The prediction unit is defined with an aging degree prediction formula: d=a×m+b×q, q=p1×t×f1+p2×t×f2+p3×t×f3+ … … pn×t×fn; wherein a and b are weight coefficients, M is the delivery month number of the electronic transformer (the delivery month number is written into the storage module before the electronic transformer is put into use for the first time, the delivery month number is calculated by subtracting the current actual year and month from the delivery year and month), Q represents the accumulated 'usage degree' value of the electronic transformer, pn is the midpoint value of the ratio section where the ratio S is located, t is the acquisition interval time, fn is the assignment of the ratio section, and n is the acquisition times of the current acquisition module.
In the above formula, P1 is the midpoint value of a ratio interval where the ratio of the current value acquired for the first time to the rated current value is located, and F1 is the corresponding assignment of the ratio interval; p2 is the midpoint value of the ratio interval where the ratio of the current value acquired for the second time to the rated current value is located, and F2 is the assignment corresponding to the ratio interval; pn is the midpoint value of the ratio interval where the ratio of the current value acquired for the nth time to the rated current value is located, and Fn is the assignment corresponding to the ratio interval.
The midpoint value of the ratio interval is taken in the embodiment to simplify the calculation, because the current value of the winding coil is changed, i.e. the current value does not steadily last for a period of time; the data calculation amount can be greatly reduced by directly taking the midpoint value of the ratio interval to calculate with the sampling time interval, and the aging degree of the transformer is different in aggravation degree (generally, the larger the current is, the faster the aging is), so that the value of each ratio interval can be assigned according to experience, and the calculation of the using degree of the electronic transformer is more reasonable.
The prediction unit can predict the ageing degree D of the electronic transformer when the electronic transformer runs each time; when the electronic transformer runs this time, the prediction unit feeds back the ageing degree D of the electronic transformer predicted last time to the correction unit; the correction unit presets the corresponding relation between the ageing degree D and the first correction coefficient k1, the larger the ageing degree D is, the larger the value of the correction coefficient k1 is, the correction coefficient k1 is larger than 1, and the correction unit calls the corresponding correction coefficient k1 according to the received ageing degree D.
The influence of the dust accumulated in the electronic transformer on the heat dissipation performance of the electronic transformer is also considered in the embodiment.
During operation of the electronic transformer, the dust sensor detects the dust concentration in the environment at intervals and feeds back the detected concentration value to the micro-processing module.
The prediction unit is defined with a dust accumulation degree prediction formula: g=ρ×u×v×t, where ρ is a preset calculation coefficient (ρ can be understood as a ratio of dust carried in air flowing through the casing to fall inside the electronic transformer, and the value of ρ can be set empirically or calibrated through experiments), U is an average dust concentration value of an environment where the electronic transformer is located, V is an air supply rate per unit time of the fan, and T is an accumulated time of operation of the fan.
In this embodiment, U is an average concentration value obtained by calculating the past detection result of the dust sensor.
The prediction unit can predict the dust accumulation degree G of the electronic transformer when the electronic transformer runs each time; when the electronic transformer runs this time, the predicting unit feeds back the dust accumulation degree G of the electronic transformer predicted last time to the correcting unit; the correction unit is preset with a corresponding relation between the dust accumulation degree G and the second correction coefficient k2, the larger the dust accumulation degree G is, the larger the second correction coefficient k2 is, the second correction coefficient k2 is larger than 1, and the correction unit calls the corresponding second correction coefficient k2 according to the received dust accumulation degree G.
The temperature sensor detects the temperature of the transformer assembly in real time and feeds the detected temperature value E back to the micro-processing module in the running process of the electronic transformer, the correction unit corrects the temperature value, and the corrected temperature value E0=Exk1 xk 2; the correction unit feeds back the corrected temperature value E0 to the calculation comparison unit, and the calculation comparison unit presets a temperature threshold W; the computing unit compares the sizes of E0 and W, if E0 is larger than W, the micro-processing module sends a start instruction to the driving module, the driving module receives the start instruction and then controls the exhaust fan and the exhaust fan to start running at the same time, and at the moment, the electronic transformer starts active heat dissipation; along with the cooling of the electronic transformer, when E0 is smaller than W, the micro-processing module sends a stop instruction to the driving module, and the driving module controls the exhaust fan and the exhaust fan to stop running after receiving the stop instruction.
As can be seen from the above calculation and analysis process, if the aging degree of the electronic transformer is higher, the corresponding first correction coefficient is larger, and the dust accumulation degree of the electronic transformer is higher, the corresponding second correction coefficient is larger; the larger the corrected temperature value obtained by correcting the acquired real-time temperature value according to the first correction coefficient and the second correction coefficient is, the more the corrected temperature value is compared with a constant temperature threshold value, and active heat dissipation is started when the corrected temperature value is larger than the constant temperature threshold value. According to the scheme, the active heat dissipation function of the electronic transformer can be started in advance according to the ageing degree and the dust accumulation degree of the electronic transformer, and the higher the ageing degree and the higher the dust accumulation degree of the electronic transformer, the larger the early starting quantity is, so that the active heat dissipation can be started in advance when the natural heat dissipation performance of the electronic transformer is reduced after the electronic transformer is used for a certain time and times, the heat dissipation of the aged electronic transformer can be better assisted, and the components of the electronic transformer are better protected.
As an optimization improvement, the number of current samples N may be preset in the calculation and comparison unit in this embodiment, and in the whole life cycle of the electronic transformer, if the number of accumulated current samples does not reach N, the prediction unit does not output the aging degree D, and only if the number of accumulated current samples reaches N, the prediction unit predicts the aging degree of the electronic transformer after the current stopping operation according to the data after N times.
According to the scheme, the detected temperature is not corrected at the initial stage of the electronic transformer in use, the detected temperature value is directly compared with the temperature threshold value, and active heat dissipation is started when the detected temperature value is larger than the temperature threshold value; when the electronic transformer is used for a period of time, the natural heat dissipation performance of the electronic transformer is considered to be possibly reduced, the detected temperature value is corrected and amplified at the moment, and the corrected temperature value is compared with the temperature threshold value, so that active heat dissipation can be started in advance when the actually detected temperature does not reach the temperature threshold value.
As a further improvement optimization, the correction unit in this embodiment is preset with a maximum correction coefficient kmax, after the electronic transformer is used for a long time, the aging degree of the electronic transformer is higher and higher, and the corresponding correction coefficient is larger and larger, if the value of the correction coefficient is not limited, the situation that active heat dissipation is started too early may occur, so that unnecessary power consumption is caused. In this embodiment, the correction unit further compares k with kmax after obtaining the correction coefficient k through the aging degree, and outputs k to the calculation comparison unit when k is smaller than kmax, and outputs kmax to the calculation comparison unit when k is greater than or equal to kmax.
Therefore, the situation that active heat dissipation starts too early when the electronic transformer is high in ageing degree can be avoided.
The foregoing description of the preferred embodiments of the application is not intended to limit the application to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the application are intended to be included within the scope of the application.
Claims (5)
1. An anticreep high permeability's electronic transformer, includes bottom plate, support, magnetic core subassembly, winding coil and shell, characterized by: the electronic transformer also comprises a controller for controlling the exhaust fan and the exhaust fan, and a current acquisition module for acquiring the current of the winding coil, wherein a temperature sensor is arranged on the magnetic core assembly, and the current acquisition module and the temperature sensor are connected with the controller; the controller predicts the ageing degree of the electronic transformer according to the delivery month number, the current collection times and the current values collected by the past time of the electronic transformer, the controller presets the corresponding relation between the ageing degree and the first correction coefficient, the controller calls the corresponding first correction coefficient according to the predicted ageing degree of the electronic transformer, the controller predicts the dust accumulation degree of the electronic transformer according to the fan unit time air supply quantity of the electronic transformer, the fan running accumulation duration and the dust concentration in the environment, the controller presets the corresponding relation between the dust accumulation degree and the second correction coefficient, and the controller calls the corresponding second correction coefficient according to the predicted dust accumulation degree of the electronic transformer; then the controller calculates the temperature value detected by the temperature sensor, the first correction coefficient and the second correction coefficient to obtain a corrected temperature value, the controller compares the corrected temperature value with a preset temperature threshold value, and the controller controls the exhaust fan and the exhaust fan to start when the temperature value is larger than the preset temperature threshold value; the controller is internally provided with a calculation comparison unit, a prediction unit and a correction unit; in the working process of the electronic transformer, the current acquisition module acquires the current of the winding coil at intervals and feeds back the acquired real-time current value to the controller; the calculation comparison unit calculates the ratio S of the real-time current value to the rated current value of the winding coil; the calculating and comparing unit is preset with a plurality of groups of ratio intervals, each group of ratio intervals corresponds to a value, and compares the calculated ratio S with the preset groups of ratio intervals to determine which ratio interval S is located in; the prediction unit is internally defined with an aging degree prediction formula: d=a×m+b×q, q=p1×t×f1+p2×t×f2+p3×t×f3+ … … pn×t×fn; wherein a and b are weight coefficients, M is the delivery month number of the electronic transformer, Q is the accumulated usage value of the electronic transformer, P is the midpoint value of the ratio interval where the ratio S is located, t is the acquisition interval time, and F is the assignment of the ratio interval; when the electronic transformer runs this time, the prediction unit feeds back the ageing degree D of the electronic transformer predicted last time to the correction unit; the correction unit presets a corresponding relation between the aging degree D and the first correction coefficient k1, and the correction unit calls the corresponding first correction coefficient k1 according to the received aging degree D; and in the working process of the electronic transformer, the dust sensor detects the dust concentration in the environment at intervals and feeds back the detected concentration value to the micro-processing module, and a dust accumulation degree prediction formula is defined in the prediction unit: g=ρ×u×v×t, where ρ is a preset calculation coefficient, U is an average dust concentration value of an environment where the electronic transformer is located, V is a unit-time air supply amount of the fan, and T is an accumulated time of operation of the fan; when the electronic transformer runs this time, the predicting unit feeds back the dust accumulation degree G of the electronic transformer predicted last time to the correcting unit; the correction unit is preset with a corresponding relation between the dust accumulation degree G and a second correction coefficient k2, and the correction unit invokes the corresponding second correction coefficient k2 according to the received dust accumulation degree G; the temperature sensor detects the temperature of the transformer assembly in real time and feeds the detected temperature value E back to the micro-processing module in the running process of the electronic transformer, the correction unit corrects the temperature value, and the corrected temperature value E0=Exk1 xk 2; the correction unit feeds back the corrected temperature value E0 to the calculation comparison unit, and the calculation comparison unit presets a temperature threshold W; the calculation unit compares the sizes of E0 and W.
2. The anticreep high permeability electronic transformer according to claim 1, characterized in that: the calculation comparison unit is internally preset with current sampling times N, and in the whole life cycle of the electronic transformer, if the accumulated times of current sampling do not reach N times, the prediction unit does not output the ageing degree D, and only if the accumulated times of current sampling reach N times, the prediction unit predicts the ageing degree of the electronic transformer after stopping running according to the data after the N times.
3. The anticreep high permeability electronic transformer according to claim 1, characterized in that: the correction unit is preset with a maximum correction coefficient kmax, the correction unit obtains the correction coefficient k through the aging degree and then compares k with kmax, when k is smaller than kmax, the correction unit outputs k to the calculation comparison unit, and when k is larger than or equal to kmax, the correction unit outputs kmax to the calculation comparison unit.
4. The anticreep high permeability electronic transformer according to claim 1, characterized in that: the controller comprises a micro-processing module, a signal sampling module, a storage module, a driving module and a power supply module; the computing and comparing unit, the predicting unit and the correcting unit are integrated in the micro-processing module, the output end of the temperature sensor and the output end of the current collecting module are respectively connected with two input ends of the signal sampling module, and the output end of the signal sampling module is connected with a sampling port of the micro-processing module; the storage module is connected with a data read-write port of the external processing module; the input end of the driving module is connected with the control signal output end of the micro-processing module, and the output end of the driving module is connected with the driving ends of the exhaust fan and the exhaust fan; the power module is used for supplying power to the temperature sensor and the controller.
5. The anticreep high permeability electronic transformer according to claim 1, characterized in that: the upper end of the bracket is fixedly connected with the end part of the magnetic core assembly, the lower end of the bracket is outwards bent and stretched out, the outer shell covers the outside of the transformer assembly, the lower edge of the outer shell outwards protrudes, the bottom surface of the lower end of the bracket is contacted with the bottom plate, and the lower edge of the outer shell is contacted with the top surface of the lower end of the bracket; the bottom plate is provided with a threaded hole, the edge of the shell and the lower end of the support are provided with through holes corresponding to the threaded hole, bolts are arranged in the through holes in a penetrating mode, and the lower ends of the bolts are screwed into the threaded holes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311053767.6A CN116779311B (en) | 2023-08-21 | 2023-08-21 | Anticreep high permeability's electronic transformer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311053767.6A CN116779311B (en) | 2023-08-21 | 2023-08-21 | Anticreep high permeability's electronic transformer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116779311A CN116779311A (en) | 2023-09-19 |
| CN116779311B true CN116779311B (en) | 2023-11-03 |
Family
ID=87993440
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311053767.6A Active CN116779311B (en) | 2023-08-21 | 2023-08-21 | Anticreep high permeability's electronic transformer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116779311B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104914327A (en) * | 2015-05-06 | 2015-09-16 | 北京航空航天大学 | Transformer fault maintenance prediction method based on real-time monitoring information |
| CN108224712A (en) * | 2017-12-01 | 2018-06-29 | 霍尼韦尔环境自控产品（天津）有限公司 | For reminding the method for cleaning electrostatic precipitator |
| CN112590763A (en) * | 2020-12-23 | 2021-04-02 | 吉林大学 | Planet series-parallel hybrid electric vehicle energy optimization method based on battery heat and aging |
| CN213844956U (en) * | 2021-01-12 | 2021-07-30 | 佛山市顺德区扬洋电子有限公司 | High electronic transformer of security |
| CN217788179U (en) * | 2022-07-11 | 2022-11-11 | 国网安徽省电力有限公司青阳县供电公司 | Transformer for inspection system of distribution room |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BR102019007902A2 (en) * | 2019-04-17 | 2020-10-27 | Treetech Sistemas Digitais Ltda | cooling control system and method in electrical equipment and electrical equipment with controlled cooling |
| CN113483919B (en) * | 2021-06-30 | 2024-06-11 | 启北公司 | Temperature calibration method, system, storage medium and electronic equipment |
| US20220330454A1 (en) * | 2022-06-29 | 2022-10-13 | Intel Corporation | Methods and apparatus to remove dust with a reverse fan pulse |
-
2023
- 2023-08-21 CN CN202311053767.6A patent/CN116779311B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104914327A (en) * | 2015-05-06 | 2015-09-16 | 北京航空航天大学 | Transformer fault maintenance prediction method based on real-time monitoring information |
| CN108224712A (en) * | 2017-12-01 | 2018-06-29 | 霍尼韦尔环境自控产品（天津）有限公司 | For reminding the method for cleaning electrostatic precipitator |
| CN112590763A (en) * | 2020-12-23 | 2021-04-02 | 吉林大学 | Planet series-parallel hybrid electric vehicle energy optimization method based on battery heat and aging |
| CN213844956U (en) * | 2021-01-12 | 2021-07-30 | 佛山市顺德区扬洋电子有限公司 | High electronic transformer of security |
| CN217788179U (en) * | 2022-07-11 | 2022-11-11 | 国网安徽省电力有限公司青阳县供电公司 | Transformer for inspection system of distribution room |
Non-Patent Citations (1)
| Title |
|---|
| 基于热点温度分析的配电变压器老化评价方法;李毅强等;云南电力技术;第49页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116779311A (en) | 2023-09-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP2031948A2 (en) | Determination of the lifetime of a component | |
| US10966291B2 (en) | Power conversion apparatus and power conversion method | |
| CN104330663B (en) | A kind of on-line monitoring method of motor winding temperature rise and system | |
| CN116779311B (en) | Anticreep high permeability's electronic transformer | |
| CN115083754B (en) | Dry-type transformer with overload protection structure | |
| CN117419800B (en) | Noise vibration test system of gas suspension centrifugal refrigeration compressor | |
| CN103825430A (en) | Frequency converter capable of radiating by semiconductor refrigerating plates | |
| KR101096147B1 (en) | Apparatus and method for controlling transformer temperature using load factor | |
| CN109028535B (en) | Air conditioner condensation prevention control method and air conditioner | |
| CN110469509B (en) | Control method and control system of vortex air compressor unit | |
| JP3741101B2 (en) | Motor cooling control system | |
| CN217425632U (en) | Light source cooling device for xenon lamp light aging test equipment | |
| CN116565394A (en) | Energy storage system temperature control method and device and energy storage system | |
| CN113946170B (en) | Self-adaptive control method and system of transformer cooling device | |
| KR20110065797A (en) | Apparatus for controlling cooling fan of driving motor and method for controoling operation of cooling fan using the same | |
| CN212749085U (en) | Electrical equipment monitoring devices | |
| JP2016158341A (en) | Cooling fan driver in power conversion device | |
| CN111384839A (en) | Method for smoothing low-frequency junction temperature fluctuation of IGBT module in wind power converter | |
| CN103384137B (en) | A kind of method, equipment for controlling the electric current for flowing through drive set component | |
| Stirl et al. | New trends in noise reduction of power transformers | |
| CN111831026A (en) | Oil temperature control method of oil-immersed transformer and transformer using same | |
| CN214849691U (en) | Low-voltage harmonic suppression reactive power compensation device | |
| CN117254570B (en) | Energy recovery method, system, medium, device and server | |
| CN113939153A (en) | Converter IGBT temperature control method | |
| CN115037166B (en) | Intelligent control system of high-voltage frequency converter |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |