CN109087780B - Single-box type intelligent energy-saving transformer - Google Patents

Single-box type intelligent energy-saving transformer Download PDF

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CN109087780B
CN109087780B CN201810885742.5A CN201810885742A CN109087780B CN 109087780 B CN109087780 B CN 109087780B CN 201810885742 A CN201810885742 A CN 201810885742A CN 109087780 B CN109087780 B CN 109087780B
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temperature
transformer
transformer body
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sensor
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CN109087780A (en
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李健斌
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Shandong Shuntong Power Engineering Co.,Ltd.
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    • 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
    • H01F27/02—Casings
    • H01F27/025—Constructional details relating to cooling
    • 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
    • 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
    • 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
    • H01F27/40—Structural association with built-in electric component, e.g. fuse
    • H01F27/402—Association of measuring or protective means
    • H01F2027/406—Temperature sensor or protection

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Housings And Mounting Of Transformers (AREA)

Abstract

The invention provides a single-box type intelligent energy-saving transformer, which comprises a box body and a transformer body; the transformer comprises a transformer body, a heat dissipation window, a heat dissipation fan, a heat insulation interlayer and two groups of iron cores, wherein the heat dissipation window is arranged on the side surface of the box body; a relay is arranged above the iron core; a safety air passage is arranged on one side of the transformer body, an oil storage tank is welded at one end of the safety air passage, high-voltage sleeves are arranged on two sides of the top end of the transformer body, and low-voltage sleeves are arranged on the inner sides of the high-voltage sleeves; a temperature sensor and a humidity sensor are further arranged in the transformer body, a dehumidifier is arranged below the oil storage tank, and the dehumidifier is connected with the humidity sensor; and a processing device is further arranged in the box body and is connected with the temperature sensor. The transformer has good energy-saving effect and high intelligent level.

Description

Single-box type intelligent energy-saving transformer
Technical Field
The invention relates to the technical field of transformers, in particular to a single-box type intelligent energy-saving transformer.
Background
In most cases, the voltage level of the electric energy from the power station to the user is transmitted to the low-voltage electric equipment through at least a 5-stage transformer. At present, the box-type transformer is designed in a box-type shell in a centralized way, has small volume, light weight, low noise, low loss and high reliability, is widely applied to residential districts, commercial centers, light stations, airports, factories, mines, enterprises, hospitals, schools and other places, and has high efficiency but still has great total loss due to large quantity and large capacity of the transformers; meanwhile, the intelligent level of the box-type transformer also needs to be improved. Therefore, the invention provides a box type transformer with better energy-saving effect and higher intelligent level, and has urgent need.
Disclosure of Invention
Aiming at the problems, the invention aims to provide a single-box type intelligent energy-saving transformer.
The purpose of the invention is realized by adopting the following technical scheme:
the utility model provides an energy-conserving transformer of single box intelligence which characterized in that includes: a box body and a transformer body;
the transformer comprises a transformer body, a heat dissipation window, a transformer heat dissipation interlayer, a heat dissipation fan, a relay and a heat insulation interlayer, wherein the heat dissipation window is arranged on the side face of the box body; a safety air passage is arranged on one side of the transformer body, an oil storage tank is welded at one end of the safety air passage, high-voltage sleeves are arranged on two sides of the top end of the transformer body, and low-voltage sleeves are arranged on the inner sides of the high-voltage sleeves; the transformer comprises a transformer body, and is characterized in that a temperature sensor and a humidity sensor are further arranged in the transformer body, a dehumidifier is arranged below an oil storage tank, the dehumidifier is connected with the humidity sensor and used for receiving data sent by the humidity sensor, and when the humidity is greater than a set threshold value, the dehumidifier is started; and the processing device is connected with the temperature sensor and used for receiving and processing the data sent by the temperature sensor and sending an alarm message to a management center when detecting that abnormal temperature data exists.
Preferably, the iron core is a silicon steel sheet iron core.
Preferably, the heat insulation interlayer is filled with glass fiber boards, and the outer surface of the heat insulation interlayer is provided with a light reflecting coating.
Preferably, the processing device further includes a first processing module, where the first processing module is connected to the temperature sensor and configured to process the temperature data sent by the temperature sensor, and send an alarm message to a management center when abnormal temperature data is detected.
Preferably, a vibration sensor is further arranged on the outer surface of the transformer body;
the processing device further comprises a second processing module, wherein the second processing module is connected with the vibration sensor and used for receiving and processing data sent by the vibration sensor, and sending an alarm message to a management center when abnormal vibration data is detected.
Preferably, the first processing module processes the temperature data sent by the temperature sensor, and specifically includes:
receiving a temperature signal collected by a temperature sensor;
to the acquired temperature signalWindowing to obtain a temperature sequence [ T ] within a data windowＭ-U+1,…,TM-1,TMWherein the width of the data window employed is U, the temperature sequence consists of U collected temperature data, TMTemperature data representing a current time;
processing the obtained temperature sequence to obtain the variation trend of the temperature sequence, wherein the adopted temperature variation trend function is as follows:
Figure BDA0001755605090000021
in the formula, alpha represents a temperature change trend;
and further processing the temperature sequence, and predicting the temperature at the next moment according to the temperature sequence, wherein the adopted temperature prediction function is as follows:
Figure BDA0001755605090000022
wherein T' represents a predicted temperature at the next time; alpha represents the variation trend of the temperature sequence in the data window, TMTemperature data representing a current time;
temperature sequence [ T ] within data windowM-U+1,…,TM-1,TM]The temperature data or the predicted temperature T' at the next moment in time is greater than the set temperature threshold TωOr the temperature variation trend alpha is larger than a set threshold value alphaωAnd recording the acquired temperature data as abnormal temperature data.
The invention has the beneficial effects that: according to the embodiment of the invention, the transformer body adopts two groups of silicon steel sheet iron cores, so that no-load loss of the transformer can be reduced, and an energy-saving effect is achieved; meanwhile, the heat insulation interlayer is arranged at the top of the box body, and the heat dissipation window is arranged on the side face of the box body, so that the temperature in the box body can be effectively reduced, the workload of heat dissipation components such as a heat dissipation fan and the like is reduced, and the effect of further saving energy is achieved; meanwhile, a temperature sensor and a humidity sensor are arranged in the box body to detect the temperature and the humidity in the box body, and when the temperature and the humidity exceed the standard, a dehumidifier and an exhaust fan are automatically started, so that the optimal working environment can be kept in the box body, and the safety and the reliability of the transformer are enhanced; still be provided with processing module and handle the analysis to the temperature signal who acquires, send alarm message to management center at once when the temperature of discovery transformer body appears unusually, can help the operation and maintenance personnel to know the work of transformer, running state the very first time, in time make corresponding early warning, further improved the reliability and the intelligent level of transformer.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a block diagram of a processing apparatus according to the present invention.
Reference numerals:
the heat dissipation device comprises a box body 1, a transformer body 2, a heat dissipation window 3, a heat dissipation fan 4, a heat insulation interlayer 5, an iron core 6, a relay 7, a safety air channel 8, an oil storage tank 9, a high-voltage bushing 10, a low-voltage bushing 11, a temperature sensor 12, a humidity sensor 13, a dehumidifier 14, a processing device 15, a vibration sensor 16, a first processing module 151 and a second processing module 152
Detailed Description
The invention is further described in connection with the following application scenarios.
Referring to fig. 1, there is shown a single-tank intelligent energy-saving transformer comprising: a box body 1 and a transformer body 2;
a heat dissipation window 3 is arranged on the side face of the box body 1, the transformer body 2 is arranged in the box body 1, a heat dissipation fan 4 is arranged above the transformer body 2, a heat insulation interlayer 5 is arranged above the heat dissipation fan 4, two groups of iron cores 6 are arranged inside the transformer body 2 and distributed on two sides inside the transformer body 2, and a relay 7 is arranged above the iron cores 6; a safety air passage 8 is arranged on one side of the transformer body 2, an oil storage tank 9 is welded at one end of the safety air passage 8, high-voltage sleeves 10 are arranged on two sides of the top end of the transformer body 2, and low-voltage sleeves 11 are arranged on the inner sides of the high-voltage sleeves 10; a temperature sensor 12 and a humidity sensor 13 are further arranged in the transformer body 2, a dehumidifier 14 is arranged below the oil storage tank 9, the dehumidifier 14 is connected with the humidity sensor 13 and used for receiving data sent by the humidity sensor 13, and when the humidity is greater than a set threshold value, the dehumidifier 14 is started; the box body 1 is also internally provided with a processing device 15, wherein the processing device 15 is connected with the temperature sensor 12 and is used for receiving and processing data sent by the temperature sensor 12 and sending an alarm message to a management center when abnormal temperature data is detected.
Preferably, the iron core 6 is a silicon steel sheet iron core 6.
Preferably, the heat insulating interlayer 5 is filled with glass fiber boards, and the outer surface of the heat insulating interlayer 5 is provided with a light reflecting coating.
According to the embodiment of the invention, the transformer body 2 adopts the two groups of silicon steel sheet iron cores 6, so that no-load loss of the transformer can be reduced, and an energy-saving effect is achieved; meanwhile, the heat insulation interlayer 5 is arranged at the top of the box body 1, and the heat dissipation window 3 is arranged on the side face of the box body 1, so that the temperature in the box body 1 can be effectively reduced, the workload of heat dissipation components such as the heat dissipation fan 4 is reduced, and the effect of further energy saving is achieved; meanwhile, a temperature sensor 12 and a humidity sensor 13 are arranged in the box body 1 to detect the temperature and the humidity in the box body 1, and when the temperature and the humidity exceed the standard, a dehumidifier 14 and an exhaust fan are automatically started, so that the optimal working environment can be kept in the box body 1, and the safety and the reliability of the transformer are enhanced; still be provided with processing module and handle the analysis to the temperature signal who acquires, send alarm message to management center at once when discovering that transformer body 2's temperature appears unusually, can help the operation and maintenance personnel to know work, the running state of transformer the very first time, in time make corresponding early warning, further improved the reliability and the intelligent level of transformer.
Preferably, referring to fig. 2, the processing device 15 further includes a first processing module 151, where the first processing module 151 is connected to the temperature sensor 12, and is configured to process the temperature data sent by the temperature sensor 12, and send an alarm message to a management center when detecting that there is abnormal temperature data.
Preferably, a vibration sensor 16 is further disposed on the outer surface of the transformer body 2;
the processing device 15 further includes a second processing module 152, where the second processing module 152 is connected to the vibration sensor 16, and is configured to receive and process data sent by the vibration sensor 16, and send an alarm message to a management center when the abnormal vibration data is detected.
In the above embodiment of the present invention, the surface of the transformer body 2 is further provided with the vibration sensor 16 to obtain the vibration signal sent by the transformer body 2, the processing device 15 further processes and analyzes the vibration signal, monitors the working state of the transformer body 2, and sends an alarm message when an abnormality is found, so as to improve the reliability and the intelligent level of the operation of the transformer.
Preferably, the temperature sensor 12 specifically includes: sending the collected temperature signal to the first processing module 151;
preferably, the first processing module 151 processes the temperature data sent by the temperature sensor 12, and specifically includes:
receiving a temperature signal collected by the temperature sensor 12;
windowing the acquired temperature signal to acquire a temperature sequence [ T ] in a data windowM-U+1,…,TM-1,TM]Wherein the width of the data window is U, the temperature sequence is composed of U collected temperature data, TMTemperature data representing a current time;
processing the obtained temperature sequence to obtain the variation trend of the temperature sequence, wherein the adopted temperature variation trend function is as follows:
Figure BDA0001755605090000041
in the formula, alpha represents a temperature change trend;
and further processing the temperature sequence, and predicting the temperature at the next moment according to the temperature sequence, wherein the adopted temperature prediction function is as follows:
Figure BDA0001755605090000051
wherein T' represents a predicted temperature at the next time; alpha represents the variation trend of the temperature sequence in the data window, TMTemperature data representing a current time;
temperature sequence [ T ] within data windowM-U+1,…,TM-1,TM]The temperature data or the predicted temperature T' at the next moment in time is greater than the set temperature threshold TωOr the temperature variation trend alpha is larger than a set threshold value alphaωAnd recording the acquired temperature data as abnormal temperature data.
In an actual scene, when the temperature of the transformer rises sharply or is too high, the transformer is indicated to have a fault; according to the embodiment of the invention, the acquired temperature signal is processed by adopting the method, so that the temperature change trend of the current moment can be accurately judged, the temperature of the next moment can be accurately predicted, the temperature of the transformer can be predicted in advance, and an accurate judgment basis is provided for early warning of a possibly occurring abnormal state, so that the reliability of continuous work of the transformer is improved.
Preferably, the vibration sensor 16 comprises in particular: sending the collected vibration signal to the second processing module 152;
preferably, the second processing module 152 receives and processes the data sent by the vibration sensor 16, and specifically includes:
receiving vibration signals collected by the vibration sensor 16;
carrying out time windowing on the obtained vibration signal;
performing Fast Fourier Transform (FFT) on the vibration signal in the latest time window, converting the vibration signal in a time domain into continuous frequency in a frequency domain, performing wavelet decomposition on the continuous frequency, and acquiring a wavelet packet decomposition tree of the vibration signal, wherein the adopted wavelet packet decomposition tree acquisition function is as follows:
Figure BDA0001755605090000052
in the formula, B (c, d) represents the energy of the d sub-band in the c layer of the wavelet packet decomposition tree, N represents the coefficient sequence length of the original vibration signal in the time window, and deltan(c, d) represents the nth coefficient in the coefficient sequence corresponding to the d subband in the c layer of the wavelet packet decomposition tree;
gathering 2 in c-th layer in decomposed tree by wavelet packetcA feature vector Y formed by the sub-band energy features is used as an energy feature vector Y of the vibration signal in the time window, namely Y { B (c, d) };
identifying the state type of the vibration signal in the time window, wherein the adopted state identification function is as follows:
Figure BDA0001755605090000053
where GR represents a state judgment factor, μzRepresenting a z-th sub-band energy feature in the feature vector Y, and lambda (i) representing a z-th sub-band energy feature in an energy feature vector of a preset i-th sample vibration signal;
Figure BDA0001755605090000062
and
Figure BDA0001755605090000063
a mathematical expectation representing an energy signature; i represents the total number of different preset types of sample vibration signals, Z represents the total number of subband energy features in the feature vector, and gamma1And gamma2Representing a weight factor; the preset sample energy characteristics are obtained from sample vibration signals obtained according to the fact that I normal states or different abnormal types are collected in advance;
when the state judgment factor GR is smaller than the set judgment threshold GRωAnd marking the state type of the acquired vibration signal as a normal state or an abnormal state to which the ith sample vibration signal corresponding to the state judgment factor GR belongs.
In the above embodiment of the present invention, the second processing module 152 performs processing and analysis on the obtained vibration washing by using the above method, first, the FFT is used to represent the obtained vibration signal in the frequency domain, then, wavelet decomposition is further performed to obtain a wavelet packet decomposition tree, the subband energy feature of a certain layer in the obtained wavelet packet decomposition tree is used as the vibration feature vector of the current working state of the transformer, and the self-defined identification function is used to match the vibration feature vector with the vibration feature vectors of the sample vibration signals in different preset state types, so as to determine the current working state of the transformer, monitor the running state of the transformer in real time, and improve the reliability of the transformer.
Preferably, in the first processing module 151, the collection is decomposed by wavelet packet to 2 in the c-th layer of the treecAnd taking a characteristic vector Y formed by the sub-band energy characteristics as an energy characteristic vector Y of the vibration signal in the time window, wherein the specifically adopted layer c is obtained by the following functions:
Figure BDA0001755605090000061
wherein c represents the number of layers in the wavelet packet decomposition tree selected when composing the feature vector Y,
Figure BDA0001755605090000065
representing the frequency of sampling of the vibration signal, fηIndicating the characteristic vibration frequency of the fault, fβRepresents the vibration frequency of the normal operation of the transformer body 2;
Figure BDA0001755605090000064
indicating a rounded-down symbol.
In the above embodiment of the present invention, in the second processing module 152, when the subband energy characteristic of a certain layer in the wavelet packet decomposition tree needs to be specifically selected as the energy characteristic of the vibration signal, the selected number of layers is specifically determined by using the above-mentioned custom function, the optimal number of layers of the wavelet packet decomposition tree selected for obtaining the vibration energy characteristic can be determined, and the recognition performance and the operation complexity of the vibration energy characteristic can be optimized simultaneously, so that the accuracy and the performance of the processing device 15 for analyzing the state of the transformer are improved, and the intelligence level of the transformer is further improved.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be analyzed by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (4)

1. The utility model provides an energy-conserving transformer of single box intelligence which characterized in that includes: a box body and a transformer body;
the transformer comprises a transformer body, a transformer body and a heat dissipation window, wherein the side surface of the box body is provided with the heat dissipation window, the transformer body is arranged in the box body, a heat dissipation fan is arranged above the transformer body, a heat insulation interlayer is arranged above the heat dissipation fan, and two groups of iron cores are arranged in the transformer body and distributed on two sides in the transformer body; a relay is arranged above the iron core; a safety air passage is arranged on one side of the transformer body, an oil storage tank is welded at one end of the safety air passage, high-voltage sleeves are arranged on two sides of the top end of the transformer body, and low-voltage sleeves are arranged on the inner sides of the high-voltage sleeves; the transformer comprises a transformer body, and is characterized in that a temperature sensor and a humidity sensor are further arranged in the transformer body, a dehumidifier is arranged below an oil storage tank, the dehumidifier is connected with the humidity sensor and used for receiving data sent by the humidity sensor, and when the humidity is greater than a set threshold value, the dehumidifier is started; the processing device is connected with the temperature sensor and used for receiving and processing data sent by the temperature sensor and sending an alarm message to a management center when abnormal temperature data is detected;
the processing device further comprises a first processing module, wherein the first processing module is connected with the temperature sensor and used for processing the temperature data sent by the temperature sensor and sending an alarm message to a management center when abnormal temperature data is detected;
the first processing module processes the temperature data sent by the temperature sensor, and specifically includes:
receiving a temperature signal collected by a temperature sensor;
windowing the acquired temperature signal to acquire a temperature sequence [ T ] in a data windowM-U+1,…,TM-1,TM]Wherein the width of the data window is U, the temperature sequence is composed of U collected temperature data, TMTemperature data representing a current time;
processing the obtained temperature sequence to obtain the variation trend of the temperature sequence, wherein the adopted temperature variation trend function is as follows:
Figure FDA0002871266510000011
in the formula, alpha represents a temperature change trend;
and further processing the temperature sequence, and predicting the temperature at the next moment according to the temperature sequence, wherein the adopted temperature prediction function is as follows:
Figure FDA0002871266510000012
wherein T' represents a predicted temperature at the next time; alpha represents a temperature change trend, TMTemperature data representing a current time;
temperature sequence [ T ] within data windowM-U+1,…,TM-1,TM]The temperature data or the predicted temperature T' at the next moment in time is greater than the set temperature threshold TωOr the temperature variation trend alpha is larger than a set threshold value alphaωAnd recording the acquired temperature data as abnormal temperature data.
2. The single-box intelligent energy-saving transformer of claim 1, wherein the iron core is a silicon steel sheet iron core.
3. The single-box intelligent energy-saving transformer according to claim 1, wherein the thermal insulation interlayer is filled with glass fiber boards, and a reflective coating is disposed on an outer surface of the thermal insulation interlayer.
4. The single-box intelligent energy-saving transformer according to claim 1, wherein a vibration sensor is further arranged on the outer surface of the transformer body;
the processing device further comprises a second processing module, wherein the second processing module is connected with the vibration sensor and used for receiving and processing data sent by the vibration sensor, and sending an alarm message to a management center when abnormal vibration data is detected.
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