CN113296029B - Distribution transformer voiceprint monitoring method, device, equipment and storage medium - Google Patents
Distribution transformer voiceprint monitoring method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN113296029B CN113296029B CN202110509033.9A CN202110509033A CN113296029B CN 113296029 B CN113296029 B CN 113296029B CN 202110509033 A CN202110509033 A CN 202110509033A CN 113296029 B CN113296029 B CN 113296029B
- Authority
- CN
- China
- Prior art keywords
- distribution transformer
- voiceprint
- characteristic parameter
- identification information
- equipment identification
- 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
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/62—Testing of transformers
Abstract
The application relates to a distribution transformer voiceprint monitoring method, a distribution transformer voiceprint monitoring device, distribution transformer voiceprint monitoring equipment and a storage medium, wherein the method comprises the following steps: receiving initial noise data of a distribution transformer and equipment identification information corresponding to the distribution transformer, wherein the initial noise data comprises noise detection data and noise reflection data; calculating the initial noise data through a preset calculation function to obtain a voiceprint characteristic parameter value; and judging whether the voiceprint characteristic parameter value larger than the corresponding preset standard threshold value exists, and if so, sending warning information and equipment identification information corresponding to the current distribution transformer. The application has the technical effects that: the monitoring efficiency of the distribution transformer is improved.
Description
Technical Field
The application relates to the field of power transformer running state evaluation technology, in particular to a distribution transformer voiceprint monitoring method, device, equipment and storage medium.
Background
At present, distribution transformers are the most closely related parts to power users in a power system, have the characteristics of numerous quantities and wide distribution, and the quantity of single provincial distribution transformers is up to hundreds of thousands of transformers. As the current operation and maintenance level of the distribution transformer is low, 90% of accidents of the distribution network are related to the distribution transformer according to statistics. Currently, the maintenance of distribution transformers is mainly dependent on the on-site inspection of workers, mainly by looking at the state of the distribution transformer, listening to the operating noise of the distribution transformer and measuring the operating parameters of the distribution transformer, so as to find the possible faults of the distribution transformer and judge the fault type.
With respect to the related art among the above, the inventors consider that the following drawbacks exist: the maintenance of the distribution transformer needs to be monitored and distinguished manually on site, so that the monitoring efficiency of the distribution transformer is low.
Disclosure of Invention
In order to solve the problem that monitoring efficiency of a transformer is low, the application provides a distribution transformer voiceprint monitoring method, device, equipment and storage medium.
In a first aspect, the present application provides a distribution transformer voiceprint monitoring method, which adopts the following technical scheme:
receiving initial noise data of a distribution transformer and equipment identification information corresponding to the distribution transformer, wherein the initial noise data comprises noise detection data and noise reflection data;
calculating the initial noise data through a preset calculation function to obtain a voiceprint characteristic parameter value;
and judging whether the voiceprint characteristic parameter value larger than the corresponding preset standard threshold value exists, and if so, sending warning information and equipment identification information corresponding to the current distribution transformer.
By adopting the technical scheme, the detection terminal can obtain initial noise data with high signal-to-noise ratio after overlapping the noise reflection data and the noise detection data, and the system calculates the voiceprint characteristic parameter value according to the initial noise data. When distribution transformer broke down, the condition that is greater than standard threshold value can appear in the voiceprint characteristic parameter value that trouble distribution transformer corresponds, and the system monitors that voiceprint characteristic parameter value appears unusually the back, sends warning information and trouble transformer's equipment identification information and gives the staff, makes things convenient for the staff in time to discover distribution transformer trouble to accomplish the automatic monitoring to distribution transformer, improved the monitoring efficiency to distribution transformer.
Optionally, the voiceprint characteristic parameter values include a sound pressure level, a harmonic ratio, an energy ratio, and a spectrum dispersity;
judging whether voiceprint characteristic parameter values larger than corresponding preset standard threshold values exist, if yes, sending warning information and equipment identification information corresponding to the current distribution transformer comprises the following steps:
respectively comparing the sound pressure level, the harmonic wave ratio, the energy ratio and the spectrum dispersity with respective corresponding preset standard thresholds;
if the voiceprint characteristic parameter value larger than the corresponding preset standard threshold value exists, inquiring a corresponding fault type in a preset fault database according to the numerical comparison result;
and sending warning information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer.
By adopting the technical scheme, the system can determine the fault type of the distribution transformer according to the value comparison result, and then sends the warning information and the equipment identification information related to the fault type to the staff, so that the staff can conveniently and quickly know the fault type, and the targeted maintenance can be carried out.
Optionally, after the initial noise data is calculated through a preset calculation function to obtain a voiceprint characteristic parameter value, the method further includes:
storing the voiceprint characteristic parameter values and equipment identification information corresponding to the distribution transformer into a voiceprint database;
the sending of the warning information related to the queried fault type and the equipment identification information corresponding to the current distribution transformer comprises:
sequentially calling historical trends of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersion degree in the voiceprint database within a preset time range;
judging whether the distribution transformer corresponding to the voiceprint parameter value is abnormal or not according to the historical trends of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersity;
if so, sending fault alarm information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer;
and otherwise, sending fault early warning information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer.
By adopting the technical scheme, after the system judges that the distribution transformer is abnormal, fault alarm information is sent to a worker; and after the system judges that the distribution transformer is possible to be abnormal, the system sends the fault early warning information to the staff. The warning information is divided into two types, so that the working personnel can take targeted action according to different types of warning information, and the waste of manpower is reduced.
Optionally, the determining whether the distribution transformer corresponding to the voiceprint parameter value is abnormal according to the historical trend of the sound pressure level, the harmonic ratio, the energy ratio, and the spectrum dispersity includes:
judging whether a historical trend in an ascending state exists in historical trends corresponding to the sound pressure level, the harmonic wave ratio, the energy ratio and the spectrum dispersity;
and if so, determining that the distribution transformer corresponding to the voiceprint parameter value is abnormal.
By adopting the technical scheme, when the historical trend corresponding to any one of the four numerical values of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersity is an ascending trend, the distribution transformer can be determined to have a fault; otherwise, the distribution transformer is likely to fail. The fault judgment is secondarily determined by checking the historical trend, so that the possibility of false alarm of the system is reduced, and the accuracy of monitoring the distribution transformer is improved.
Optionally, after the storing the voiceprint characteristic parameter value and the device identification information corresponding to the distribution transformer in the voiceprint database, further includes,
calling historical data of the voiceprint characteristic parameter value corresponding to the current distribution transformer in a voiceprint database within a preset time range;
comparing the voiceprint characteristic parameter values with the corresponding historical data to obtain historical change difference values between the voiceprint characteristic parameter values and the corresponding historical data;
judging whether a historical change difference value larger than a preset standard change difference value exists or not;
if so, setting a preset initial threshold value as a standard threshold value of the current distribution transformer;
otherwise, setting the preset correction threshold as the standard threshold of the current distribution transformer.
By adopting the technical scheme, the system can automatically adjust the standard threshold value according to the special distribution transformer so as to realize normal monitoring of the special distribution transformer, thereby widening the application range of the monitoring method and reducing the false alarm rate.
Optionally, after receiving the initial noise data of the distribution transformer and the device identification information corresponding to the distribution transformer, the method further includes:
starting timing and generating timing information until the initial noise data is received again;
judging whether the value corresponding to the timing information is larger than a preset standard timing value or not;
and if so, sending off-line alarm information and equipment identification information.
By adopting the technical scheme, if the detection terminal stops working for some reason, when the system still does not receive the initial noise data within the time exceeding the standard timing value, the system sends the offline alarm information and the equipment identification information to the staff, and the staff can find the detection terminal which stops working in time.
Optionally, if there is a voiceprint characteristic parameter value greater than a corresponding preset standard threshold, sending the warning information and the device identification information corresponding to the current distribution transformer, and after sending the warning information and the device identification information corresponding to the current distribution transformer, further including:
if the voiceprint characteristic parameter value larger than the corresponding preset standard threshold value does not exist, judging whether the voiceprint characteristic parameter value larger than the preset reminding threshold value exists or not, wherein the reminding threshold value is smaller than the standard threshold value;
and if so, sending the data exception information and the equipment identification information corresponding to the current distribution transformer.
By adopting the technical scheme, after the system judges that the voiceprint characteristic parameter value is smaller than the standard threshold value, the voiceprint characteristic parameter value is judged for the second time. And when the voiceprint characteristic parameter value is judged to be larger than the reminding threshold value, sending data abnormal information, and helping workers to find fault hidden dangers.
In a second aspect, the present application provides a distribution transformer voiceprint monitoring device, which adopts the following technical scheme: the device comprises: the data receiving module is used for receiving initial noise data of the distribution transformer and equipment identification information corresponding to the distribution transformer, wherein the initial noise data comprises noise detection data and noise reflection data;
the numerical value calculation module is used for calculating the initial noise data through a preset calculation function to obtain a voiceprint characteristic parameter value;
and the state judgment module is used for judging whether the voiceprint characteristic parameter value greater than the corresponding preset standard threshold exists or not, and if so, sending the warning information and the equipment identification information corresponding to the current distribution transformer.
By adopting the technical scheme, the detection terminal can obtain initial noise data with high signal-to-noise ratio after overlapping the noise reflection data and the noise detection data, and the system calculates the voiceprint characteristic parameter value according to the initial noise data. When distribution transformer broke down, the condition that is greater than standard threshold value can appear in the voiceprint characteristic parameter value that trouble distribution transformer corresponds, and the system monitors that voiceprint characteristic parameter value appears unusually the back, sends warning information and trouble transformer's equipment identification information and gives the staff, makes things convenient for the staff in time to discover distribution transformer trouble to accomplish the automatic monitoring to distribution transformer, improved the monitoring efficiency to distribution transformer.
In a third aspect, the present application provides an apparatus, which adopts the following technical solution: comprising a memory and a processor, said memory having stored thereon a computer program which can be loaded by the processor and which performs the method of any of claims 1 to 7.
By adopting the technical scheme, the detection terminal can obtain initial noise data with high signal-to-noise ratio after overlapping the noise reflection data and the noise detection data, and the system calculates the voiceprint characteristic parameter value according to the initial noise data. When distribution transformer broke down, the condition that is greater than standard threshold value can appear in the voiceprint characteristic parameter value that trouble distribution transformer corresponds, and the system monitors that voiceprint characteristic parameter value appears unusually the back, sends warning information and trouble transformer's equipment identification information and gives the staff, makes things convenient for the staff in time to discover distribution transformer trouble to accomplish the automatic monitoring to distribution transformer, improved the monitoring efficiency to distribution transformer.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions: a computer program which can be loaded by a processor and which performs the method according to any one of claims 1 to 7.
By adopting the technical scheme, the detection terminal can obtain initial noise data with high signal-to-noise ratio after overlapping the noise reflection data and the noise detection data, and the system calculates the voiceprint characteristic parameter value according to the initial noise data. When distribution transformer broke down, the condition that is greater than standard threshold value can appear in the voiceprint characteristic parameter value that trouble distribution transformer corresponds, and the system monitors that voiceprint characteristic parameter value appears unusually the back, sends warning information and trouble transformer's equipment identification information and gives the staff, makes things convenient for the staff in time to discover distribution transformer trouble to accomplish the automatic monitoring to distribution transformer, improved the monitoring efficiency to distribution transformer.
In summary, the present application includes at least one of the following beneficial technical effects:
1. when the distribution transformer fails, the system can timely send warning information and equipment identification information of the failed transformer to workers, so that the workers can find the failure of the distribution transformer in time conveniently, automatic monitoring of the distribution transformer is completed, and monitoring efficiency of the distribution transformer is improved;
2. the system can automatically adjust the standard threshold value according to the special distribution transformer so as to realize normal monitoring of the special distribution transformer, thereby widening the application range of the monitoring method and reducing the false alarm rate.
Drawings
Fig. 1 is a flowchart of a distribution transformer voiceprint monitoring method in an embodiment of the present application.
Fig. 2 is a flowchart illustrating the sub-step of S11 in the embodiment of the present application.
Fig. 3 is a flowchart illustrating sub-steps of S14 in an embodiment of the present application.
Fig. 4 is a flowchart illustrating sub-steps of S18 in an embodiment of the present application.
Fig. 5 is a block diagram of a distribution transformer voiceprint monitoring device according to an embodiment of the present application.
Description of reference numerals: 301. a data receiving module; 302. a numerical calculation module; 303. and a state judgment module.
Detailed Description
The present application is described in further detail below with reference to figures 1-5.
The embodiment of the application discloses a distribution transformer voiceprint monitoring method.
As shown in fig. 1, the method comprises the steps of:
s10, the initial noise data and the device identification information are received.
Wherein the initial noise data includes noise detection data and noise reflection data. Specifically, the microphone may be installed near the distribution transformer to acquire noise detection data, and the acoustic reflection plate may be installed near the distribution transformer to reflect noise of the distribution transformer to the microphone to acquire noise reflection data, and the microphone may automatically superimpose the noise detection data and the noise reflection data to obtain initial noise data. And the detection terminal sends the initial noise data to the system. The noise reflection data is added, so that the interference of external noise on the noise measurement result of the distribution transformer can be reduced, and the noise measurement signal-to-noise ratio can be improved. The equipment identification information is unique address data corresponding to the distribution transformer.
S11, it is checked whether the timing information is normal.
With reference to fig. 2, S11 specifically includes the following two sub-steps:
and S111, starting timing and generating timing information.
Specifically, the timer is started after the noise detection data is received, and the timer is stopped when the noise detection data is received again. The timing information is a time period of timing, for example, the timing information may be 9 minutes.
And S112, judging whether the value corresponding to the timing information is greater than the standard timing value.
Specifically, a numerical value corresponding to the timing information is compared with a preset standard timing numerical value, whether the numerical value corresponding to the timing information is larger than the standard timing numerical value or not is judged, and if the numerical value corresponding to the timing information is larger than the standard timing numerical value, offline alarm information and equipment identification information are sent to intelligent equipment such as a mobile phone or a computer of a worker; otherwise, the timing work is continuously executed. For example, the standard timing value is 10, and when the value of the timing information is greater than 10, which indicates that the detection terminal may stop working for some reason, the system sends offline alarm information and device identification information to the staff, which is helpful for the staff to find the detection terminal which stops working in time.
And S12, calculating the voiceprint characteristic parameter value. S11 and S12 are executed synchronously.
Wherein the voiceprint characteristic parameter value comprises a sound pressure levelR 0Harmonic ratioR 1Energy ratio ofR 2And degree of spectral dispersionF. Converting the initial noise data from analog signals to digital signals, then converting the data from voltage to sound pressure to obtain sound pressure digital signals, and carrying out frequency spectrum analysis on the sound pressure digital signals to obtain sound pressure levelR 050Hz even-order frequency multiplication amplitudeA i250Hz odd-order frequency multiplication amplitudeA i2-150Hz frequency multiplication quantity of signals in the range of 1kHzNOf 1 atiAmplitude of a frequency signalA i 50Hz secondiAmplitude specific gravity of second frequency multiplicationR i 。
According to 50Hz even-order frequency multiplication amplitudeA i250Hz odd-order frequency multiplication amplitudeA i2-150Hz frequency multiplication quantity of signals in the range of 1kHzNThe harmonic ratio can be calculatedR 1Harmonic ratioR 1The calculation formula of (2) is as follows:
according to the firstiAmplitude of a frequency signalA i The energy ratio can be calculatedR 2Energy ratioR 2The calculation formula of (2) is as follows:
according to 50HziAmplitude specific gravity of second frequency multiplicationR i Can calculate the degree of spectral dispersionFDegree of spectral dispersionFThe calculation formula of (2) is as follows:
and S13, storing the voiceprint characteristic parameter value and the equipment identification information into a voiceprint database.
Specifically, voiceprint characteristic parameter values and equipment identification information corresponding to the distribution transformer are stored in a voiceprint database, and the equipment identification information and normal voiceprint characteristic parameter values in the database are periodically cleared. The voiceprint characteristic parameter value less than or equal to the standard threshold value is a normal voiceprint characteristic parameter value. For example, the device identification information and the normal voiceprint feature parameter value whose storage life reaches two years are deleted.
And S14, determining a standard threshold.
With reference to fig. 3, S14 specifically includes the following three substeps:
and S141, calling historical data of the voiceprint characteristic parameter values in the voiceprint database within a preset time range.
Specifically, historical data of the four voiceprint characteristic parameter values within respective preset time ranges are respectively extracted, for example, if the preset time can be ten days, the historical data of the four voiceprint characteristic parameter values within ten days are extracted from the voiceprint database.
S142, determining the historical change difference value
Specifically, the four voiceprint characteristic parameter values of the current sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersity are respectively compared with historical data in respective preset time ranges, so that respective historical change difference values are obtained. For example, the preset time may be ten days, the voiceprint characteristic parameter value may be a sound pressure level, the current sound pressure level and each corresponding historical data within ten days are respectively subtracted, and an absolute value is taken, so as to obtain a plurality of historical change difference values of the sound pressure level.
And S143, judging whether a historical change difference value larger than a preset standard change difference value exists.
The initial threshold value and the correction threshold value are preset values and are obtained by analyzing big data samples of voiceprint characteristic parameter values of different types of distribution transformers by workers.
Specifically, historical change difference values corresponding to the four voiceprint characteristic parameter values of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersity are compared with a preset standard change difference value respectively, whether a historical change difference value larger than the preset standard change difference value exists is judged, and if the historical change difference value larger than the preset standard change difference value exists, a preset initial threshold value is set as a standard threshold value of the current distribution transformer; otherwise, setting the preset correction threshold as the standard threshold of the current distribution transformer.
And S15, judging whether the voiceprint characteristic parameter value larger than the standard threshold exists.
Specifically, comparing the voiceprint characteristic parameter value with a standard threshold value, determining whether the voiceprint characteristic parameter value larger than the standard threshold value exists, and if the voiceprint characteristic parameter value larger than the standard threshold value exists, executing S17; otherwise, S16 is executed.
And S16, judging whether the voiceprint characteristic parameter value greater than the reminding threshold exists.
Specifically, the reminding threshold is obtained by analyzing a big data sample of the distribution transformer voiceprint characteristic parameter value, and is a preset value and smaller than a standard threshold. Comparing the voiceprint characteristic parameter value with a reminding threshold value, judging whether the voiceprint characteristic parameter value larger than the reminding threshold value exists, and if the voiceprint characteristic parameter value larger than the reminding threshold value exists, sending data abnormal information and equipment identification information; otherwise, determining that the distribution transformer is normal.
And S17, determining the fault type.
Specifically, the four voiceprint characteristic parameter values of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersity are compared with the corresponding standard threshold values to obtain respective numerical comparison results, wherein the numerical comparison results comprise greater values, equal values and smaller values. And inquiring corresponding fault types in a preset fault database according to the numerical comparison results, wherein the preset fault database comprises different fault types corresponding to different numerical comparison results. For example, when the sound pressure level is greater than the standard threshold and the harmonic ratio, the energy ratio, and the spectral dispersion are all less than the standard threshold, then the corresponding fault type is unbalanced load or overload.
And S18, sending warning information related to the fault type and equipment identification information.
The warning information is fault warning information or fault early warning information.
With reference to fig. 4, S18 includes the following two substeps:
and S181, sequentially calling the historical trend of the voiceprint characteristic parameter values in the voiceprint database within a preset time range.
Specifically, historical trends, including rising, falling, and stationary, are retrieved from the voiceprint database for each of the sound pressure level, harmonics ratio, energy ratio, and spectral dispersion. For example, if the preset time is thirty days, the historical trend within thirty days is called.
And S182, judging whether the historical trend in the rising state exists in the historical trends corresponding to the voiceprint characteristic parameter values.
Specifically, whether a historical trend in an ascending state exists is judged, and if the historical trend in the ascending state exists, fault alarm information and equipment identification information related to the fault type are sent; otherwise, sending fault early warning information and equipment identification information related to the fault type.
Based on the method, the embodiment of the application also discloses a distribution transformer voiceprint monitoring device.
As shown in fig. 5, the apparatus includes the following modules:
a data receiving module 301, configured to receive initial noise data of a distribution transformer and device identification information corresponding to the distribution transformer, where the initial noise data includes noise detection data and noise reflection data;
a numerical calculation module 302, configured to calculate initial noise data through a preset calculation function to obtain a voiceprint characteristic parameter value;
and the state judgment module 303 is configured to judge whether a voiceprint characteristic parameter value greater than a corresponding preset standard threshold exists, and if the voiceprint characteristic parameter value exists, send warning information and equipment identification information corresponding to the current distribution transformer.
The embodiment of the application also discloses computer equipment.
In particular, the computer device comprises a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the above-described distribution transformer voiceprint monitoring method.
The embodiment of the application also discloses a computer readable storage medium.
In particular, the computer readable storage medium, which stores a computer program that can be loaded by a processor and executes the distribution transformer voiceprint monitoring method as described above, for example, comprises: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (8)
1. A distribution transformer voiceprint monitoring method, the method comprising:
receiving a noise detection signal of a distribution transformer, wherein the noise detection signal comprises noise detection data and equipment identification information corresponding to the distribution transformer;
receiving a noise reflection signal of a distribution transformer, wherein the noise reflection signal comprises noise reflection data and equipment identification information corresponding to the distribution transformer;
superposing the noise detection data and the noise reflection data to obtain initial noise data;
calculating the initial noise data through a preset calculation function to obtain a voiceprint characteristic parameter value;
judging whether voiceprint characteristic parameter values larger than corresponding preset standard threshold values exist or not, and if yes, sending warning information and equipment identification information corresponding to the current distribution transformer;
the voiceprint characteristic parameter values comprise sound pressure level, harmonic ratio, energy ratio and spectrum dispersity;
judging whether voiceprint characteristic parameter values larger than corresponding preset standard threshold values exist, if yes, sending warning information and equipment identification information corresponding to the current distribution transformer comprises the following steps:
respectively comparing the sound pressure level, the harmonic wave ratio, the energy ratio and the spectrum dispersity with respective corresponding preset standard thresholds;
if the voiceprint characteristic parameter value larger than the corresponding preset standard threshold value exists, inquiring a corresponding fault type in a preset fault database according to the numerical comparison result;
sending warning information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer;
after the initial noise data is calculated through a preset calculation function to obtain a voiceprint characteristic parameter value, the method further includes:
storing the voiceprint characteristic parameter values and equipment identification information corresponding to the distribution transformer into a voiceprint database;
the sending of the warning information related to the queried fault type and the equipment identification information corresponding to the current distribution transformer comprises:
sequentially calling historical trends of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersion degree in the voiceprint database within a preset time range;
judging whether the distribution transformer corresponding to the voiceprint parameter value is abnormal or not according to the historical trends of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersity;
if so, sending fault alarm information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer;
and otherwise, sending fault early warning information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer.
2. The method of claim 1, wherein the determining whether the distribution transformer corresponding to the voiceprint parameter value is abnormal according to the historical trend of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersion degree comprises:
judging whether a historical trend in an ascending state exists in historical trends corresponding to the sound pressure level, the harmonic wave ratio, the energy ratio and the spectrum dispersity;
and if so, determining that the distribution transformer corresponding to the voiceprint parameter value is abnormal.
3. The method of claim 1, further comprising, after said storing the voiceprint characterization parameter values and device identification information corresponding to a distribution transformer to a voiceprint database,
calling historical data of the voiceprint characteristic parameter value corresponding to the current distribution transformer in a voiceprint database within a preset time range;
comparing the voiceprint characteristic parameter values with the corresponding historical data to obtain historical change difference values between the voiceprint characteristic parameter values and the corresponding historical data;
judging whether a historical change difference value larger than a preset standard change difference value exists or not;
if so, setting a preset initial threshold value as a standard threshold value of the current distribution transformer;
otherwise, setting the preset correction threshold as the standard threshold of the current distribution transformer.
4. The method of claim 1, further comprising, after said receiving the noise-reflected signal of the distribution transformer:
starting timing and generating timing information until the noise detection signal is received again;
judging whether the value corresponding to the timing information is larger than a preset standard timing value or not;
and if so, sending off-line alarm information and equipment identification information.
5. The method of claim 1, wherein if there is a voiceprint characteristic parameter value greater than a corresponding predetermined standard threshold, sending alert information and equipment identification information corresponding to the current distribution transformer, and after sending the alert information and the equipment identification information corresponding to the current distribution transformer, further comprising:
if the voiceprint characteristic parameter value larger than the corresponding preset standard threshold value does not exist, judging whether the voiceprint characteristic parameter value larger than the preset reminding threshold value exists or not, wherein the reminding threshold value is smaller than the standard threshold value;
and if so, sending the data exception information and the equipment identification information corresponding to the current distribution transformer.
6. A distribution transformer voiceprint monitoring apparatus, said apparatus comprising:
the noise receiving module (301) is used for receiving a noise detection signal of the distribution transformer, wherein the noise detection signal comprises noise detection data and equipment identification information corresponding to the distribution transformer;
a signal receiving module (302) for receiving a noise reflection signal of a distribution transformer, the noise reflection signal including noise reflection data and device identification information corresponding to the distribution transformer;
a data superposition module (303) for superposing the noise detection data and the noise reflection data to obtain initial noise data;
a numerical calculation module (304) for calculating the initial noise data through a preset calculation function to obtain a voiceprint characteristic parameter value;
the state judgment module (305) is used for judging whether a voiceprint characteristic parameter value larger than a corresponding preset standard threshold exists or not, and if the voiceprint characteristic parameter value exists, sending warning information and equipment identification information corresponding to the current distribution transformer;
the apparatus is further configured to:
the voiceprint characteristic parameter values comprise sound pressure level, harmonic ratio, energy ratio and spectrum dispersity;
judging whether voiceprint characteristic parameter values larger than corresponding preset standard threshold values exist, if yes, sending warning information and equipment identification information corresponding to the current distribution transformer comprises the following steps:
respectively comparing the sound pressure level, the harmonic wave ratio, the energy ratio and the spectrum dispersity with respective corresponding preset standard thresholds;
if the voiceprint characteristic parameter value larger than the corresponding preset standard threshold value exists, inquiring a corresponding fault type in a preset fault database according to the numerical comparison result;
sending warning information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer;
the apparatus is further configured to:
after the initial noise data is calculated through a preset calculation function to obtain a voiceprint characteristic parameter value, the method further includes:
storing the voiceprint characteristic parameter values and equipment identification information corresponding to the distribution transformer into a voiceprint database;
the sending of the warning information related to the queried fault type and the equipment identification information corresponding to the current distribution transformer comprises:
sequentially calling historical trends of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersion degree in the voiceprint database within a preset time range;
judging whether the distribution transformer corresponding to the voiceprint parameter value is abnormal or not according to the historical trends of the sound pressure level, the harmonic ratio, the energy ratio and the spectrum dispersity;
if so, sending fault alarm information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer;
and otherwise, sending fault early warning information related to the inquired fault type and equipment identification information corresponding to the current distribution transformer.
7. An apparatus comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that executes the method according to any of claims 1 to 5.
8. A computer-readable storage medium, in which a computer program is stored which can be loaded by a processor and which executes the method of any one of claims 1 to 5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110509033.9A CN113296029B (en) | 2021-05-11 | 2021-05-11 | Distribution transformer voiceprint monitoring method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110509033.9A CN113296029B (en) | 2021-05-11 | 2021-05-11 | Distribution transformer voiceprint monitoring method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113296029A CN113296029A (en) | 2021-08-24 |
| CN113296029B true CN113296029B (en) | 2022-02-18 |
Family
ID=77321273
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110509033.9A Active CN113296029B (en) | 2021-05-11 | 2021-05-11 | Distribution transformer voiceprint monitoring method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113296029B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114019434A (en) * | 2021-11-09 | 2022-02-08 | 浙江讯飞智能科技有限公司 | Transformer residual magnetism detection method, device, system and storage medium |
| CN115655631B (en) * | 2022-12-12 | 2023-04-07 | 杭州兆华电子股份有限公司 | Method and device for detecting voiceprint in wind tunnel environment based on hydraulic generator |
| CN115993503B (en) * | 2023-03-22 | 2023-06-06 | 广东电网有限责任公司东莞供电局 | Operation detection method, device and equipment of transformer and storage medium |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105512451A (en) * | 2014-09-25 | 2016-04-20 | 国家电网公司 | Transformer noise calculating method |
| CN205448997U (en) * | 2016-03-16 | 2016-08-10 | 普元电力发展有限公司 | Overhead line detection device among power transformation engineering |
| CN106199226A (en) * | 2016-07-22 | 2016-12-07 | 国家电网公司 | Distribution transformer noise monitoring method and system under the conditions of threephase load imbalance |
| CN106249076A (en) * | 2016-07-22 | 2016-12-21 | 国家电网公司 | By the distribution transformer condition detection method under the influence of harmonic load and system |
| CN106991527A (en) * | 2017-03-24 | 2017-07-28 | 河南启联科技有限公司 | A kind of fingerprinted management system of power equipment running status and its application method |
| CN108414079A (en) * | 2018-03-21 | 2018-08-17 | 广东电网有限责任公司电力科学研究院 | A kind of transformer noise monitoring system |
| CN109684385A (en) * | 2018-11-21 | 2019-04-26 | 平安科技（深圳）有限公司 | Data center's distribution alarming method for power, device, equipment and storage medium |
| CN109856299A (en) * | 2018-11-26 | 2019-06-07 | 国家电网有限公司 | A kind of transformer online monitoring differentiation threshold value dynamic setting method, system |
| KR20190139126A (en) * | 2018-06-07 | 2019-12-17 | 고려대학교 세종산학협력단 | Abnormal detection of transformer using sound information |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111537919B (en) * | 2020-05-14 | 2022-04-15 | 莫毓昌 | Transformer fault diagnosis method based on voiceprint characteristics |
-
2021
- 2021-05-11 CN CN202110509033.9A patent/CN113296029B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105512451A (en) * | 2014-09-25 | 2016-04-20 | 国家电网公司 | Transformer noise calculating method |
| CN205448997U (en) * | 2016-03-16 | 2016-08-10 | 普元电力发展有限公司 | Overhead line detection device among power transformation engineering |
| CN106199226A (en) * | 2016-07-22 | 2016-12-07 | 国家电网公司 | Distribution transformer noise monitoring method and system under the conditions of threephase load imbalance |
| CN106249076A (en) * | 2016-07-22 | 2016-12-21 | 国家电网公司 | By the distribution transformer condition detection method under the influence of harmonic load and system |
| CN106991527A (en) * | 2017-03-24 | 2017-07-28 | 河南启联科技有限公司 | A kind of fingerprinted management system of power equipment running status and its application method |
| CN108414079A (en) * | 2018-03-21 | 2018-08-17 | 广东电网有限责任公司电力科学研究院 | A kind of transformer noise monitoring system |
| KR20190139126A (en) * | 2018-06-07 | 2019-12-17 | 고려대학교 세종산학협력단 | Abnormal detection of transformer using sound information |
| CN109684385A (en) * | 2018-11-21 | 2019-04-26 | 平安科技（深圳）有限公司 | Data center's distribution alarming method for power, device, equipment and storage medium |
| CN109856299A (en) * | 2018-11-26 | 2019-06-07 | 国家电网有限公司 | A kind of transformer online monitoring differentiation threshold value dynamic setting method, system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113296029A (en) | 2021-08-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113296029B (en) | Distribution transformer voiceprint monitoring method, device, equipment and storage medium | |
| CN109524139B (en) | Real-time equipment performance monitoring method based on equipment working condition change | |
| CA2927545C (en) | Integrated transformer health monitoring architecture | |
| US8484150B2 (en) | Systems and methods for asset condition monitoring in electric power substation equipment | |
| CN113124929A (en) | Transformer substation multi-parameter signal acquisition comprehensive analysis system and method | |
| CN112184090B (en) | Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor | |
| CN114200273A (en) | Fault prediction system for online insulation monitoring of electric submersible pump | |
| KR20130060894A (en) | Remote diagnosis system for transformer | |
| CN116502925B (en) | Digital factory equipment inspection evaluation method, system and medium based on big data | |
| CN108362966A (en) | A kind of oil-immersed type transformer high-precision noise on-line monitoring method and system | |
| CN103278719A (en) | Power equipment fault detection method and system based on matrix diagram and confidence coefficient | |
| CN117078017A (en) | Intelligent decision analysis system for monitoring power grid equipment | |
| CN113533910A (en) | Method and system suitable for converter transformer partial discharge early warning | |
| CN116184265A (en) | Lightning arrester leakage current detection method and system based on multi-classification SVM | |
| CN111289812A (en) | Power transmission and transformation equipment state monitoring and management method and system | |
| CN114662058B (en) | Wireless station monitoring method and device | |
| CN111509839A (en) | Trip event model analysis method based on alarm signal | |
| CN114002551B (en) | CVT fault determining method and device based on secondary voltage characteristics | |
| CN114527331B (en) | Capacitor analysis method and system | |
| CN113172764B (en) | Monitoring method and system for mixing plant | |
| CN113919151A (en) | Electrical measurement equipment acceleration reliability test method based on active triggering | |
| CN113721116A (en) | Fault identification method and system based on partial discharge and oil pressure detection | |
| CN111781554A (en) | Metering device fault determination method and system based on four-quadrant electric energy data | |
| CN117458722B (en) | Data monitoring method and system based on electric power energy management system | |
| CN117907720A (en) | Secondary polarity transformation ratio detection device of remote wireless transformer substation and operation method thereof |
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 |