CN113009399B - Method for on-site verification of application effect of transformer voiceprint monitoring device - Google Patents

Abstract

The invention discloses a field verification method for the application effect of a transformer voiceprint monitoring device, including device appearance inspection, signal transmission status verification, device software system function verification, noise and vibration measurement accuracy verification, and voiceprint characteristic parameter accuracy Calibration, fault diagnosis and early warning function verification, wherein the steps of measurement accuracy verification include: respectively using the sound calibrator and the acceleration calibrator to input noise excitation signals and vibration excitation signals with specified frequency and amplitude to the transformer voiceprint monitoring device signal, and obtain the noise detection signal and vibration detection signal output by the transformer voiceprint monitoring device; respectively calculate the errors between the noise detection signal, vibration detection signal and the corresponding standard value, and judge whether the measurement accuracy check is passed. The invention can verify the accuracy and effectiveness of the transformer voiceprint monitoring device installed on site, guarantee the reliability of the voiceprint monitoring device, and has the advantages of convenience, quickness, standardized process and accurate inspection.

Description

A method for on-site verification of the application effect of a transformer voiceprint monitoring device

technical field

The invention relates to power equipment noise detection technology, in particular to an on-site verification method for the application effect of a transformer voiceprint monitoring device, which is used to verify the effectiveness of the transformer voiceprint monitoring device.

Background technique

The operation failure of power transformer is the key cause of large-scale power outage in power system. In recent years, the amount of economic losses caused by transformer failures has been huge, which has seriously affected social and economic development. Common transformer state monitoring and fault diagnosis methods use state variables including: oil chromatography, electromagnetic, temperature, etc. Usually, equipment defects and faults have already formed when diagnosis is found, so there is a lag in diagnosis. Audible noise is generated along with the operation of the transformer, and the amplitude, time-domain waveform, and spectrum characteristics of the sound are closely related to its operating voltage, current, mechanical state, excitation state, and insulation state, which can reflect changes in the operating state of the equipment in a timely manner. Therefore, voiceprint monitoring can complement other state quantity monitoring technologies to form a whole-process and full-stage monitoring and early warning system for faults from "germination-development-formation", effectively improving the safe and stable operation level of power transformers. The technical advantages of using voiceprint monitoring include: (1) no need to touch live equipment, no change in equipment operating status, and easy installation; (2) real-time tracking of equipment operating status changes, high detection sensitivity; (3) supplementing existing monitoring status Due to the lack of volume, the fault diagnosis scheme in the range of 20Hz to 20kHz has been added. With the construction and development of intelligent inspection and ubiquitous Internet of Things, the demand for new technologies of condition monitoring and early warning has become increasingly prominent. It is of great significance to use voiceprint monitoring and diagnosis of transformer faults. However, as to how to verify the transformer voiceprint monitoring device installed on site, there is no clear method at present, which leads to the inability to guarantee the accuracy and effectiveness of the transformer voiceprint monitoring device, which seriously affects the operational reliability of the device.

Contents of the invention

The technical problem to be solved by the present invention: Aiming at the above problems of the prior art, a method for on-site verification of the application effect of the transformer voiceprint monitoring device is provided. The present invention can verify the accuracy and effectiveness of the transformer voiceprint monitoring device installed on site Calibration is carried out to ensure the reliability of the voiceprint monitoring device, which has the advantages of convenience, quickness, standard process, and accurate inspection.

In order to solve the problems of the technologies described above, the technical solution adopted in the present invention is:

A method for on-site verification of the application effect of a transformer voiceprint monitoring device, comprising the steps of verifying the measurement accuracy of the transformer voiceprint monitoring device: A1) respectively using a sound calibrator and an acceleration calibrator to input a specified value into the transformer voiceprint monitoring device. Frequency and amplitude noise excitation signal and vibration excitation signal, and obtain the noise detection signal and vibration detection signal output by the transformer voiceprint monitoring device; A2) respectively calculate the error between the noise detection signal, vibration detection signal and the corresponding standard value Obtain the noise detection error and the vibration detection error; A3) If the noise detection error and the vibration detection error meet the requirements, it is determined that the measurement accuracy verification of the transformer voiceprint monitoring device has passed, otherwise it is determined that the measurement accuracy verification has not passed.

Optionally, the noise detection error and the vibration detection error in step A3) all meet the requirements, which means that the noise detection error is less than the first preset threshold, and the vibration detection error is less than the second preset threshold, or the noise detection in step A3) Both the error and the vibration detection error meet the requirements, which means that the ratio between the noise detection error and the corresponding standard value is smaller than the third preset threshold, and the ratio between the vibration detection error and the corresponding standard value is smaller than the fourth preset threshold.

Optionally, after the verification of measurement accuracy, it also includes a step of verifying the accuracy of characteristic parameter calculation of the transformer voiceprint monitoring device: B1) output multiple groups of different frequencies but with fixed amplitudes to the transformer voiceprint monitoring device noise excitation signal and vibration excitation signal, and obtain the voiceprint characteristic parameters output by the transformer voiceprint monitoring device; B2) calculate the error between the voiceprint characteristic parameters and the corresponding standard value to obtain the voiceprint characteristic parameter error; B3) if the voiceprint If the characteristic parameter error of the fingerprint pattern meets the requirements, it is determined that the verification of the calculation accuracy of the characteristic parameters of the transformer voiceprint monitoring device has passed, otherwise it is determined that the verification of the calculation accuracy of the characteristic parameters has failed.

Optionally, the voiceprint feature parameters in step B2) include one or more of sound pressure level, vibration amplitude, odd-even harmonic ratio, high-frequency energy specific gravity, and spectral complexity.

Optionally, the voiceprint feature parameter error meeting the requirements in step B3) means that the voiceprint feature parameter error is less than the fifth preset threshold, or the ratio between the voiceprint feature parameter error and the corresponding standard value is less than the sixth preset threshold.

Optionally, after the verification of the accuracy of the characteristic parameter calculation, it also includes the step of performing fault diagnosis and early warning function validity verification on the transformer voiceprint monitoring device: C1) respectively input the transformer voiceprint monitoring device to the transformer voiceprint monitoring device. Noise detection signals and vibration detection signals under one or more typical defects, and obtain the fault diagnosis results and early warning results output by the transformer voiceprint monitoring device; C2) Judging the obtained fault diagnosis results and early warning results and the expected fault diagnosis of typical defects Whether the result is consistent with the early warning result, if they match, it is judged that the verification of the validity of the fault diagnosis and early warning function of the transformer voiceprint monitoring device has passed, otherwise it is judged that the verification of the validity of the fault diagnosis and early warning function has not passed.

Optionally, before performing measurement accuracy verification on the transformer voiceprint monitoring device, it also includes the step of performing device software system function verification on the transformer voiceprint monitoring device, and the device software system function verification includes item-by-item inspection Real-time graphic display, parameter configuration, and historical data query of the software system of the transformer voiceprint monitoring device to check the operation of various functional modules to determine whether the system is running normally. The query function check is to check whether the software functions in all directions are executed normally. If all checks pass, it is determined that the device software system function verification of the transformer voiceprint monitoring device has passed, otherwise it is determined that the device software system function verification has not passed.

Optionally, before performing the device software system function verification on the transformer voiceprint monitoring device, it also includes the step of verifying the signal transmission status of the transformer voiceprint monitoring device, and the signal transmission status verification includes checking the front-end power supply of the device With the signal indication and the update status of the device software platform data, if all checks pass, it is determined that the signal transmission status of the transformer voiceprint monitoring device has passed the verification, otherwise it is determined that the signal transmission status verification has not passed.

Optionally, before the verification of the signal transmission of the transformer voiceprint monitoring device, it also includes the step of performing a device appearance inspection on the transformer voiceprint monitoring device, and the device appearance inspection includes checking the installation stability of the microphone and the acceleration sensor, Check the corrosion degree and waterproofness of the device shell, and check the layout of internal components of the device. If all inspections pass, the device appearance inspection of the transformer voiceprint monitoring device will be judged to be passed, otherwise it will be judged that the device appearance inspection will not pass.

Optionally, after the verification of the effectiveness of the fault diagnosis and early warning functions of the transformer voiceprint monitoring device, it further includes a step of generating a verification report for the results of all the verifications or inspections completed on the transformer voiceprint monitoring device.

Compared with the prior art, the present invention has the following advantages: the measurement accuracy of the voiceprint monitoring device is a key link that must be carried out. Since the sensitivity of the microphone and acceleration sensor does not change within a short period of time, the measurement result has a linear relationship with the input. Therefore, the accuracy verification can be completed by using a set of standard signal input devices. The present invention includes the steps of verifying the measurement accuracy of the transformer voiceprint monitoring device: A1) respectively using the sound calibrator and the acceleration calibrator to input a noise excitation signal and a vibration excitation signal with a specified frequency and amplitude to the transformer voiceprint monitoring device , and obtain the noise detection signal and the vibration detection signal output by the transformer voiceprint monitoring device; A2) respectively calculate the error between the noise detection signal, the vibration detection signal and the corresponding standard value to obtain the noise detection error and the vibration detection error; A3) if If both the noise detection error and the vibration detection error meet the requirements, it is judged that the measurement accuracy verification of the transformer voiceprint monitoring device has passed, otherwise it is judged that the measurement accuracy verification has failed. Through the above method, accurate measurement accuracy verification can be realized. The invention can verify the accuracy and effectiveness of the transformer voiceprint monitoring device installed on site, guarantee the reliability of the voiceprint monitoring device, and has the advantages of convenience, quickness, standardized process and accurate inspection.

Description of drawings

Fig. 1 is an overall flowchart of the method of the embodiment of the present invention.

detailed description

As shown in Figure 1, the implementation steps of the on-site verification method for the application effect of the transformer voiceprint monitoring device in this embodiment include: S1) device appearance inspection; S2) signal transmission status verification; S3) device software system function verification; S4) Noise and vibration measurement accuracy verification; S5) Accuracy verification of voiceprint characteristic parameters; S6) Fault diagnosis and early warning function verification. The on-site verification method for the application effect of the transformer voiceprint monitoring device in this embodiment makes systematic requirements for the transformer voiceprint monitoring device in terms of appearance structure, data transmission, software function, measurement accuracy, feature accuracy, diagnosis and early warning accuracy, etc. , standardize the on-site verification method of the transformer voiceprint monitoring device, guarantee the reliability of the transformer voiceprint monitoring device, and complete the device verification without changing the operating state of the transformer, which has the technical advantages of convenient, fast and accurate inspection. The steps of each verification or inspection above will be described in detail below.

Referring to Fig. 1, this embodiment includes the step of verifying the measurement accuracy of the transformer voiceprint monitoring device: A1) respectively use the sound calibrator and the acceleration calibrator to input noise with specified frequency and amplitude to the transformer voiceprint monitoring device excitation signal and vibration excitation signal, and obtain the noise detection signal and vibration detection signal output by the transformer voiceprint monitoring device; A2) respectively calculate the error between the noise detection signal, vibration detection signal and the corresponding standard value to obtain the noise detection error, vibration Detection error; A3) If the noise detection error and the vibration detection error meet the requirements, it is determined that the measurement accuracy verification of the transformer voiceprint monitoring device has passed, otherwise it is determined that the measurement accuracy verification has not passed.

Wherein, the noise detection error and the vibration detection error in step A3) all meet the requirements, which means that the noise detection error is less than the first preset threshold, and the vibration detection error is less than the second preset threshold, or the noise detection error in step A3), All the vibration detection errors meet the requirements, which means that the ratio between the noise detection error and the corresponding standard value is smaller than the third preset threshold, and the ratio between the vibration detection error and the corresponding standard value is smaller than the fourth preset threshold. The above preset thresholds may take the same value or different values. As a specific implementation, in this embodiment, the portable sound calibrator and the acceleration calibrator are respectively used to input noise and vibration values with standard amplitudes to the voiceprint monitoring device, and the output frequency of the sound calibrator is 1 kHz and the amplitude is Acoustic signal of 94dB, acceleration calibrator output ^159.15Hz vibration signal with amplitude of 10m/s2, judge whether the noise and vibration value received by the device software system are consistent with the standard value, the error threshold can be selected as 5%, the measured value is consistent with the standard The noise and vibration measurement accuracy verification of the device can be considered to be completed within the range of 5% deviation of the value.

After completing the accuracy verification, it is necessary to verify the calculation accuracy of the characteristic parameters of the device. Referring to Fig. 1, after the measurement accuracy verification is performed in this embodiment, the step of performing characteristic parameter calculation accuracy verification on the transformer voiceprint monitoring device is also included: B1) output multiple groups of different frequencies but amplitudes respectively to the transformer voiceprint monitoring device Value fixed noise excitation signal and vibration excitation signal, and obtain the voiceprint characteristic parameter output by the transformer voiceprint monitoring device; B2) Calculate the error between the voiceprint characteristic parameter and the corresponding standard value to obtain the voiceprint characteristic parameter error; B3) If the voiceprint characteristic parameter error meets the requirements, it is determined that the characteristic parameter calculation accuracy verification of the transformer voiceprint monitoring device has passed, otherwise it is determined that the characteristic parameter calculation accuracy verification has not passed. As one of the embodiments, in this embodiment, multiple groups of noise excitation signals and vibration excitation signals with different frequencies but fixed amplitudes are respectively output to the transformer voiceprint monitoring device. The standard voiceprint feature parameter value is calculated by a pre-written feature analysis program. For example, in this embodiment, the standard voiceprint feature parameter value can be calculated by using matlab software programming, so that it can be used as a standard value for verification.

In this embodiment, the voiceprint feature parameters in step B2) include one or more of sound pressure level, vibration amplitude, odd-even harmonic ratio, high-frequency energy specific gravity, and spectral complexity.

In this embodiment, the voiceprint feature parameter error in step B3) meets the requirements when the voiceprint feature parameter error is smaller than the fifth preset threshold, or the ratio between the voiceprint feature parameter error and the corresponding standard value is smaller than the sixth preset threshold. Set the threshold. The fifth preset threshold and the sixth preset threshold may have the same value or different values. As an optional implementation, in this embodiment, the deviation range between the two does not exceed 10%. If the error between the analytical value and the standard value is within 10%, it can be considered that the verification of the accuracy of the voiceprint characteristic parameters of the device is completed. .

Referring to Fig. 1, after performing the verification of the accuracy of the characteristic parameter calculation in this embodiment, it also includes the steps of performing fault diagnosis and early warning function validity verification on the transformer voiceprint monitoring device: C1) Input the transformer voiceprint monitoring device respectively. Noise detection signals and vibration detection signals under one or more typical defects, and obtain the fault diagnosis results and early warning results output by the transformer voiceprint monitoring device; C2) Judging the obtained fault diagnosis results and early warning results and the expectations of typical defects Whether the fault diagnosis result is consistent with the early warning result, if they match, it is judged that the fault diagnosis and early warning function validity verification of the transformer voiceprint monitoring device has passed, otherwise it is judged that the fault diagnosis and early warning function validity verification has not passed. As one of the embodiments, the pre-collected "DC bias" signal can be input into the microphone or acceleration sensor of the transformer voiceprint monitoring device through a player or an exciter. At this time, the system software of the transformer voiceprint monitoring device issued a "DC bias magnetic" early warning, displaying the diagnostic fault type as "DC bias magnetic". After the fault type and early warning information are accurately displayed, the fault diagnosis and early warning function verification of the device is completed.

Referring to Fig. 1, before performing measurement accuracy verification on the transformer voiceprint monitoring device in this embodiment, it also includes the step of performing device software system function verification on the transformer voiceprint monitoring device, and the device software system function verification includes item-by-item inspection Real-time graphic display, parameter configuration, and historical data query of the software system of the transformer voiceprint monitoring device to check the operation of various functional modules to determine whether the system is running normally. The query function check is to check whether the software functions in all directions are executed normally. If all checks pass, it is determined that the device software system function verification of the transformer voiceprint monitoring device has passed, otherwise it is determined that the device software system function verification has not passed.

Referring to Fig. 1, before performing the device software system function verification on the transformer voiceprint monitoring device in this embodiment, it also includes the step of verifying the signal transmission status of the transformer voiceprint monitoring device, and the signal transmission status verification includes checking the device Front-end power supply and signal indication, device software platform data update, if all checks pass, it is determined that the signal transmission status of the transformer voiceprint monitoring device has passed the verification, otherwise it is judged that the signal transmission status verification has not passed.

Referring to Fig. 1, before the verification of the signal transmission of the transformer voiceprint monitoring device in this embodiment, it also includes the step of performing a device appearance inspection on the transformer voiceprint monitoring device. Check the corrosion degree and waterproofness of the device shell, and check the layout of internal components of the device. If all inspections pass, the device appearance inspection of the transformer voiceprint monitoring device will be judged to be passed, otherwise it will be judged that the device appearance inspection will not pass.

Referring to Fig. 1, in this embodiment, after the fault diagnosis and the validity verification of the early warning function are performed on the transformer voiceprint monitoring device, a step of generating a verification report for all the verification or inspection results completed by the transformer voiceprint monitoring device is also included. .

The above descriptions are only preferred implementations of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions under the idea of the present invention belong to the protection scope of the present invention. It should be pointed out that for those skilled in the art, some improvements and modifications without departing from the principles of the present invention should also be regarded as the protection scope of the present invention.

Claims (7)

1. A method for on-site verification of the application effect of a transformer voiceprint monitoring device, characterized in that it includes the steps of performing a measurement accuracy verification of the transformer voiceprint monitoring device: A1) using a sound calibrator and an acceleration calibrator to report the transformer sound Input the noise excitation signal and vibration excitation signal with specified frequency and amplitude to the fingerprint monitoring device, and obtain the noise detection signal and vibration detection signal output by the transformer voiceprint monitoring device; A2) Calculate the noise detection signal, vibration detection signal and corresponding The error between the standard values is the noise detection error and the vibration detection error; A3) If the noise detection error and the vibration detection error meet the requirements, it is judged that the measurement accuracy verification of the transformer voiceprint monitoring device has passed, otherwise it is judged that the measurement accuracy calibration is correct. After the verification of measurement accuracy, it also includes the step of verifying the accuracy of characteristic parameter calculation of the transformer voiceprint monitoring device: B1) output multiple groups of different frequencies but fixed amplitudes to the transformer voiceprint monitoring device noise excitation signal and vibration excitation signal, and obtain the voiceprint characteristic parameters output by the transformer voiceprint monitoring device; B2) calculate the error between the voiceprint characteristic parameters and the corresponding standard value to obtain the voiceprint characteristic parameter error, the voiceprint The characteristic parameters include one or more of sound pressure level, vibration amplitude, odd-even harmonic ratio, high-frequency energy proportion, and spectral complexity; B3) If the error of the characteristic parameters of the voiceprint meets the requirements, it is determined that the transformer voiceprint monitoring The verification of the calculation accuracy of the characteristic parameters of the device is passed, otherwise it is judged that the verification of the calculation accuracy of the characteristic parameters fails; after the verification of the calculation accuracy of the characteristic parameters, it also includes the fault diagnosis and the effectiveness of the early warning function of the transformer voiceprint monitoring device Verification steps: C1) Input the noise detection signal and vibration detection signal of the transformer under one or more typical defects to the transformer voiceprint monitoring device respectively, and obtain the fault diagnosis results and early warning results output by the transformer voiceprint monitoring device ; C2) Judging whether the obtained fault diagnosis results and early warning results are consistent with the expected fault diagnosis results and early warning results of typical defects. The validity check of the diagnostic and early warning functions failed. 2. The method for on-site verification of the application effect of the transformer voiceprint monitoring device according to claim 1, characterized in that the noise detection error and the vibration detection error in step A3) all meet the requirements, which means that the noise detection error is less than the first preset threshold, and the vibration detection error is less than the second preset threshold, or both the noise detection error and the vibration detection error in step A3) meet the requirements, it means that the ratio between the noise detection error and the corresponding standard value is less than the third preset threshold, And the ratio between the vibration detection error and the corresponding standard value is smaller than the fourth preset threshold. 3. The method for on-site verification of the application effect of the transformer voiceprint monitoring device according to claim 1, characterized in that, the voiceprint feature parameter error in step B3) meets the requirements means that the voiceprint feature parameter error is less than the fifth preset threshold , or the ratio between the voiceprint feature parameter error and the corresponding standard value is smaller than the sixth preset threshold. 4. The method for on-site verification of the application effect of the transformer voiceprint monitoring device according to claim 1, characterized in that, before the verification of the measurement accuracy of the transformer voiceprint monitoring device, it also includes performing a test on the transformer voiceprint monitoring device. The step of checking the function of the device software system, the function checking of the device software system includes checking the real-time graphics display, parameter configuration, and historical data of the software system of the transformer voiceprint monitoring device item by item. Normal, where the graphic real-time display inspection includes the inspection of graphic coordinates and data units, parameter configuration, and historical data query function inspection is to check whether the software functions of each direction are normally executed. If all inspections pass, the device software system function of the transformer voiceprint monitoring device is determined. If the verification is passed, otherwise it is determined that the function verification of the software system of the device fails. 5. The method for on-site verification of the application effect of the transformer voiceprint monitoring device according to claim 4, characterized in that, before performing the device software system function verification on the transformer voiceprint monitoring device, the transformer voiceprint monitoring device also includes: The step of verifying the signal transmission situation, the signal transmission situation verification includes checking the front-end power supply and signal indication of the device, and the update status of the device software platform data, and if all the inspections pass, it is determined that the signal transmission situation verification of the transformer voiceprint monitoring device is passed , otherwise it is judged that the signal transmission status check fails. 6. The method for on-site verification of the application effect of the transformer voiceprint monitoring device according to claim 5, characterized in that, before the verification of the signal transmission status of the transformer voiceprint monitoring device, it also includes performing a verification of the transformer voiceprint monitoring device. The step of device appearance inspection. The device appearance inspection includes the inspection of the installation stability of the microphone and the acceleration sensor, the corrosion degree and water resistance inspection of the device shell, and the inspection of the layout of the internal components of the device. If all inspections pass, the transformer voiceprint monitoring device is judged The device appearance inspection is passed, otherwise it is judged that the device appearance inspection fails. 7. The method for on-site verification of the application effect of the transformer voiceprint monitoring device according to claim 6, characterized in that, after the verification of the effectiveness of the fault diagnosis and early warning function of the transformer voiceprint monitoring device, it also includes: A step of generating a verification report from the results of all verifications or inspections completed by the voiceprint monitoring device.

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