CN117761529A - On-line monitoring system for breaker pressing motor of converter station - Google Patents
On-line monitoring system for breaker pressing motor of converter station Download PDFInfo
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- CN117761529A CN117761529A CN202311632775.6A CN202311632775A CN117761529A CN 117761529 A CN117761529 A CN 117761529A CN 202311632775 A CN202311632775 A CN 202311632775A CN 117761529 A CN117761529 A CN 117761529A
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Abstract
The utility model belongs to the technical field of maintenance of a converter station, and particularly relates to an online monitoring system for a breaker pressing motor of the converter station, which comprises a microphone sound source input module, a data identification and input module, a data analysis and report generation module, an automatic audible and visual alarm module and a data recording or archiving module.
Description
Technical Field
The utility model belongs to the technical field of maintenance of a converter station, and particularly relates to an online monitoring system for a breaker pressing motor of the converter station.
Background
The hydraulic mechanism is used as one of common operating mechanisms of the extra-high voltage circuit breaker, and is increasingly widely applied due to the characteristics of small volume, high output power, high reliability, convenient maintenance and the like. However, the probability of faults of the hydraulic operating mechanism in actual operation is high, wherein frequent pressing defects are most prominent, and the faults are common faults which are most difficult to judge. However, due to the material quality, manufacturing process, operation maintenance, overhaul and other reasons of the hydraulic mechanism, the failure rate of the hydraulic mechanism in daily operation maintenance is high, and particularly the defect of frequent pressing occupies all hydraulic pressures
Over 60% of the mechanical defects.
In actual operation, the characteristics of sound are determined by the common coupling of mechanical, electromagnetic and other factors. These sound signals contain rich information and are carriers of normal, abnormal or fault information of the equipment. The prior art is mainly applied to voice recognition, has few researches on composite sound sources, and has important guiding value for developing motor state monitoring and fault diagnosis if the voice signals which are in sufficient quantity and can objectively reflect the health state of a unit can be truly and fully acquired, the characteristics of the voice signals are extracted, the corresponding voice prints are found, and the physical significance of the voice prints is clear.
The utility model patent with the publication number of CN 203405547U discloses a circuit breaker monitoring system which comprises an independent power module, a pulse group inhibitor, a core processing module, a board card module and a display module, wherein the power module, the display module and the board card module are respectively connected with the core processing module, the display module is connected with the board card module, and the pulse group inhibitor is connected with the power module. The utility model can be applied to the state on-line monitoring device of various types of circuit breakers from 10KV to 750KV, realizes modularized design, is convenient for maintenance of a single module, realizes direct measurement of opening and closing contacts, can be connected into multi-path network equipment, and is compatible with equipment connection of various protocols, thereby improving the accuracy and external performance of a circuit breaker monitoring system. The monitoring system only measures the opening and closing contact.
Therefore, the online monitoring system of the breaker pressing motor based on voiceprint recognition has great research significance, and can monitor and rapidly position the phenomenon.
Disclosure of Invention
The utility model aims to provide an online monitoring system for a breaker pressing motor of a converter station, which aims at solving the problems in the prior art, can automatically identify the running state by monitoring the sound and vibration of the motor when the motor runs, immediately alarm and timely discover possible early faults when the motor is abnormal, help operation and maintenance personnel to carry out analysis and decision, assist the operation and maintenance personnel to carry out lean operation and maintenance, and greatly improve the field working efficiency of the converter station.
The technical scheme of the utility model is as follows:
the system comprises a microphone sound source input module, a data identification and input module, a data analysis and report generation module, an automatic audible and visual alarm module and a data recording or archiving module; the microphone sound source input module converts sound source signals into electric signal data and transmits the electric signal data to the data identification and recording module; the data identification and recording module processes all the electric signal data after receiving the electric signal data, finally intercepts the most stable 10s acoustic signal for recording, simultaneously obtains frequency domain information of the acoustic signal data through a Fourier change technology, extracts the voiceprint, establishes a field voiceprint model and carries out identification and recording; the data analysis and report generation module is used for comparing a field voiceprint model established by using recorded electric signal data with a voiceprint model in a database, comparing and judging data with larger difference of the model, and generating a report with possible fault reasons to help operation and maintenance personnel analyze; the automatic audible and visual alarm module monitors the sound source signal, and when the monitored sound source signal exceeds a set alarm value, the system automatically gives audible and visual alarm to remind a background monitoring staff to pay attention, and the monitoring staff performs data check and performs site check in advance; the data recording or archiving module is configured with a storage hard disk to store all the monitoring data.
Specifically, the system also comprises a manual data correction module, and when the electric signal converted from the sound source signal is unstable or has errors with the actual scene, the data can be manually calibrated, so that the system can reliably operate.
The system comprises a data visualization processing system and an auxiliary decision-making module, wherein the module displays voiceprint data in the form of tables and maps in real time in the background, simultaneously displays analysis reports and provides operation and maintenance processing measure suggestions.
Specifically, the data identification and entry module extracts voiceprints and selects acoustic or language features of the breaker pressing motor.
Specifically, the acoustic or linguistic features include (1) sound features of the normal device when in operation; (2) sound characteristics of normal operation of the equipment after the equipment is influenced by the change of the surrounding environment; (3) prosody, cadence, speed, volume characteristics when a device malfunction occurs.
Specifically, the on-site voiceprint model is established by modeling the voiceprint signal by utilizing audio data, comparing the voiceprint signal with a voiceprint model preset in a system, and finally obtaining the text with the best matching.
Specifically, the data recognition logging module processes voice processing, including digital processing, preprocessing, feature extraction, compression and coding, recognition and synthesis, of voice signals, and uses filtering and voice enhancement methods to improve noise and echo interference existing in the voice signals.
Aiming at the abnormal condition that the pressing motor is frequently pressed, the existing monitoring means can only analyze and judge through a mode of manually monitoring the starting and stopping times of the circuit breaker motor in the background, if a background monitoring disc worker finds that the starting and stopping times are not timely, the pressing motor is easy to cause the motor to burn out and cannot build the pressure on a hydraulic mechanism under the condition of frequent starting and stopping, and the accident range is enlarged under the serious condition.
For normal operation of the pressing motor, no remote monitoring means exists at present, when the pressing motor fails, the background cannot monitor that the breaker does not normally build pressure, and only after the pressing time of the breaker exceeds the set pressing time, the background reports a pressing motor pressing overtime message to remind a background prison disc personnel that the hydraulic mechanism of the breaker or the pressing motor possibly has problems to cause the building of the pressing, so that a worker needs to go to a field device to perform further inspection and judgment, the time of accident disposal can be prolonged, meanwhile, the field inspection personnel has a certain personal risk, and the accident range is enlarged in serious cases.
The beneficial effects of the utility model are as follows: the voice parameters of the pressing motor during operation are acquired through the microphone installed on site, the data identification and input module performs voice signal processing, voiceprint feature extraction, voiceprint modeling and identification input on the acquired voice data, and meanwhile, the data can be corrected manually, so that the data input accuracy is ensured. After the data is automatically input, the voiceprint can be automatically compared with the database internal model through the data analysis record and report generation module, the early faults of the operation sound and vibration of the pressing motor of the circuit breaker are intelligently analyzed, an analysis report is generated, and the audible and visual alarm is carried out. The data visualization processing and auxiliary decision making module can generate a data change curve chart or a histogram, and provide operation and maintenance measures in an auxiliary mode according to the analysis report, so that operation and maintenance personnel can analyze and decide conveniently. The data recording or archiving module can conduct one-key export and retention on the analysis report and the data change curve graph.
The system provided by the utility model can monitor the running sound of the breaker pressing motor in real time through reasonable design, compares and analyzes the collected sound data with a database, finds the abnormal running state of the breaker pressing motor in advance, avoids the expansion of a fault range through early treatment, helps operation and maintenance personnel to make analysis decisions, greatly strengthens the monitoring means of the operation and maintenance personnel on field devices, improves the data analysis and judgment level of the converter station, improves the intelligent operation and maintenance level of the converter station, and assists the converter station to carry out lean operation and maintenance. The system provided by the utility model not only can be applied to the breaker pressing motor, but also can be widely applied to state monitoring of the breaker pressing motor in other domestic power engineering and other industries.
Drawings
Fig. 1 is a schematic block diagram of the present utility model.
Detailed Description
The technical scheme of the utility model is described in detail below with reference to the accompanying drawings and the specific embodiments.
Fig. 1 is a schematic block diagram of an online monitoring system for a breaker of a converter station, which is provided by the utility model, and comprises a microphone sound source input module, a data identification and input module, a data analysis and report generation module, an automatic audible and visual alarm module and a data recording or archiving module; the microphone sound source input module converts sound source signals (including vibration signals) into electric signal data and transmits the electric signal data to the data identification and recording module; the data identification and recording module processes all the electric signal data after receiving the electric signal data, finally intercepts the most stable 10s acoustic signal for recording, simultaneously obtains frequency domain information of the acoustic signal data through a Fourier change technology, extracts the voiceprint, establishes a field voiceprint model and carries out identification and recording; the data analysis and report generation module is used for comparing a field voiceprint model established by using recorded electric signal data with a voiceprint model in a database, comparing and judging data with larger difference of the model, and generating a report with possible fault reasons to help operation and maintenance personnel analyze; the automatic audible and visual alarm module monitors the sound source signal, and when the monitored sound source signal exceeds a set alarm value, the system automatically gives audible and visual alarm to remind a background monitoring staff to pay attention, and the monitoring staff performs data check and performs site check in advance; the data recording or archiving module is configured with a storage hard disk to store all the monitoring data.
According to actual situation needs, can also increase artifical data correction module, when the signal of sound source signal (including vibration signal) conversion becomes the electric signal unstable or with the actual error that exists in scene, can the manual data calibration for the reliable operation of system.
According to the actual situation, a data visualization processing system and an auxiliary decision-making module can be added, and the module displays voiceprint data in the form of a table and a map in real time in the background, simultaneously displays an analysis report and provides operation and maintenance processing measure suggestions.
The voice print is extracted in the data identification and input module, and the acoustic or language characteristics of the circuit breaker pressing motor are extracted and selected. The acoustic or language features have the characteristics of strong separability, high stability and the like, and although most of voiceprint recognition systems are acoustic features at present, the features for representing the normal operation characteristics of one device are multi-layered; (2) sound characteristics of normal operation of the equipment after the equipment is influenced by the change of the surrounding environment; (3) prosody, cadence, speed, volume characteristics when a device malfunction occurs.
The on-site voiceprint model is established by modeling the voiceprint signal by utilizing audio data, comparing the voiceprint signal with a voiceprint model preset in a system, and finally obtaining the text with the best matching. Voiceprint signals consist of a large number of small time periods, with various speech transitions between adjacent time periods. The on-site voiceprint modeling is to segment the time periods, extract voiceprint features of each time period, and then calculate probability so as to identify the optimal pressing process time period. Because of the environmental characteristics of loud noise of the converter station, the independent establishment of the voiceprint model for the circuit breaker motor is difficult, different voiceprint models are established according to specific conditions such as different running environments, running time and the like in order to avoid false alarms caused by different working conditions, and the differential recognition is carried out under different working conditions according to different voiceprint models when related data are processed.
The data recognition recording module processes the voice processing, which comprises the steps of digital processing, preprocessing, feature extraction, compression and coding, recognition and synthesis of the voice signal, and uses filtering and voice enhancement to improve the noise and echo interference existing in the voice signal. The filtering and voice enhancement method is used for signal enhancement of interference such as noise, echo and the like possibly existing in the voice signal. The speech signal contains a lot of characteristic information such as frequency, energy etc. The acquisition of sound data is realized by adopting the MEMS digital microphone device, and the MEMS digital microphone device can convert sound source signals (including vibration signals) into electric signals through a microphone, and can intuitively present the sound source characteristics of a perception object after further processing. The motor sound source identification is carried out through the device under different directions, different working conditions and different conduction modes, so that real-time and accurate motor sound source identification and conduction are realized.
The voiceprint feature extraction: since other devices in the converter station also produce sound at the same time, these sounds couple, alien and interfere with each other and the intensity will become stronger as the voltage level of the converter station increases. How to effectively isolate the interference of other in-station equipment and ensure that test data is basically or completely sent out by a tested converter station is particularly critical, so that the method collects audio data through 2 sound transmission methods during actual test and improves identification accuracy through the combination of 2 method data. In addition, the sampling equipment is as close to the breaker box as possible, so that attenuation and interference caused by air can be reduced, and the influence of other in-station equipment can be effectively isolated. After the on-site data are obtained, all the data are required to be processed for 2 times, and finally, the most stable 10s sound signals are intercepted for recording. Meanwhile, the frequency domain information of the acoustic signal is obtained through Fourier change and other technologies to extract the voiceprint, so that analysis is more visual and effective.
The online monitoring system for the breaker pressing motor of the convertor station provided by the utility model collects sound parameters of the pressing motor during operation through the microphone installed on site to carry out microphone sound source recording, and the data identification recording module carries out voice signal processing, voiceprint feature extraction, voiceprint modeling and identification recording on the collected sound data, and meanwhile, can correct the data manually to ensure accurate data recording. After the data is automatically input, the voiceprint model can be automatically compared with the database internal model through the data analysis record and report generation module, the early faults of the operation sound and vibration of the pressing motor of the circuit breaker are intelligently analyzed, an analysis report is generated, an audible and visual alarm is carried out, when the pressing motor acts, the operation state of the circuit breaker is judged by identifying the audio, and accordingly, the operation and maintenance personnel can find, diagnose and treat the operation and maintenance personnel early. The data visualization processing and auxiliary decision making module can generate a data change curve chart or a histogram, and provide operation and maintenance measures in an auxiliary mode according to the analysis report, so that operation and maintenance personnel can analyze and decide conveniently. The data recording or archiving module can conduct one-key derivation and retention on the analysis report and the data change curve graph, the utility model takes voiceprint and vibration conditions of the circuit breaker during normal pressing as judgment basis, the abnormal conditions are automatically judged by mathematical comparison analysis, an alarm is sent out in an acousto-optic mode, and meanwhile, data are displayed in real time in forms of a table, a map and the like, so that operation and maintenance personnel are assisted in judgment and decision.
Finally, it should be noted that the above-mentioned embodiments are only for illustrating the technical scheme of the present utility model and are not limiting; while the utility model has been described in detail with reference to the preferred embodiments, those skilled in the art will appreciate that: modifications may be made to the specific embodiments of the present utility model or equivalents may be substituted for part of the technical features thereof; without departing from the spirit of the utility model, it is intended to cover the scope of the utility model as claimed.
Claims (7)
1. The online monitoring system for the breaker pressing motor of the convertor station is characterized by comprising a microphone sound source input module, a data identification and input module, a data analysis and report generation module, an automatic audible and visual alarm module and a data recording or archiving module;
the microphone sound source input module converts sound source signals into electric signal data and transmits the electric signal data to the data identification and recording module;
the data identification and recording module processes all the electric signal data after receiving the electric signal data, finally intercepts the most stable 10s acoustic signal for recording, simultaneously obtains frequency domain information of the acoustic signal data through a Fourier change technology, extracts the voiceprint, establishes a field voiceprint model and carries out identification and recording;
the data analysis and report generation module is used for comparing a field voiceprint model established by using recorded electric signal data with a voiceprint model in a database, comparing and judging data with larger difference of the model, and generating a report with possible fault reasons to help operation and maintenance personnel analyze;
the automatic audible and visual alarm module monitors the sound source signal, and when the monitored sound source signal exceeds a set alarm value, the system automatically gives audible and visual alarm to remind a background monitoring staff to pay attention, and the monitoring staff performs data check and performs site check in advance;
the data recording or archiving module is configured with a storage hard disk to store all the monitoring data.
2. The on-line monitoring system of the converter station circuit breaker pressing motor according to claim 1, further comprising a manual data correction module, wherein when the electric signal converted by the sound source signal is unstable or has an error with the actual field, the manual data correction module can be used for correcting the data, so that the system can operate reliably.
3. The online breaker motor monitoring system based on voiceprint recognition of the convertor station according to claim 1, further comprising a data visualization processing system and an auxiliary decision-making module, wherein the module displays voiceprint data in the form of tables and maps in the background in real time, and simultaneously displays analysis reports and provides operation and maintenance treatment measures suggestions.
4. The on-line monitoring system of a breaker-hold motor of a converter station according to claim 1, wherein the extraction of voiceprints in the data recognition entry module is to extract and select acoustic or linguistic features of the breaker-hold motor.
5. The on-line monitoring system for a converter station circuit breaker ballast motor of claim 4 wherein said acoustic or speech characteristics include (1) sound characteristics during normal equipment operation; (2) sound characteristics of normal operation of the equipment after the equipment is influenced by the change of the surrounding environment; (3) prosody, cadence, speed, volume characteristics when a device malfunction occurs.
6. The online monitoring system of the converter station breaker pressing motor according to claim 1, wherein the on-site voiceprint model is established by modeling voiceprint signals by utilizing audio data, and comparing the voiceprint signals with voiceprint models preset in the system, so as to finally obtain a text with the best matching.
7. The system of claim 1, wherein the data recognition and entry module processes voice signals by digital processing, preprocessing, feature extraction, compression and encoding, and recognition and synthesis, and uses filtering and voice enhancement to enhance noise and echo interference in voice signals.
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| CN202311632775.6A CN117761529A (en) | 2023-11-30 | 2023-11-30 | On-line monitoring system for breaker pressing motor of converter station |
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