A multi-network high-voltage motor insulation detection system and method

Abstract

A multi-network high-voltage motor insulation detection system and method, belonging to the technical field of motor insulation detection, to solve the problems that the existing detection system cannot detect interference signals, resulting in the inability to determine the interference source and affecting the reception of detection signals; in the detection system, the long-term data storage in its data storage library leads to the execution speed of the dedicated system, and the continuously input data is prone to conflict with historical data. It is used to detect and pick up the discharge signals of the discharge sources in the stator winding insulation, effectively eliminates the interference of various harmonics in the power grid, can reduce the influence of other current signals while amplifying the signals, can be weakened or shielded by the shielding module, can effectively process the interference signal source, can well solve the problem of conflict between continuously monitored data and historical data, and is also convenient for later viewing and calling, so as to effectively judge the insulation monitoring results and realize multi-network high-voltage motor insulation detection.

Description

Technical Field

[0001] The present invention relates to the technical field of motor insulation detection, and particularly relates to a multi-network high-voltage motor insulation detection system and method. Background Art

[0002] During the use of high-voltage motors, sudden insulation accidents of the motor stator may occur. As the prime mover of these continuous production departments, once an accident occurs, it often causes unnecessary economic losses. It is necessary to detect the insulation of high-voltage motors. The existing high-voltage motor insulation detection methods have the following defects:

[0003] 1. It is impossible to detect interference signals, resulting in the inability to determine the interference source and affecting the reception of detection signals;

[0004] 2. Secondly, in the detection system, the long-term data storage in its data repository leads to the execution speed of the system, and the continuously input data is prone to conflict with historical data. Summary of the Invention

[0005] The purpose of the present invention is to provide a multi-network high-voltage motor insulation detection system and method, which can quickly and accurately detect and pick up the discharge signals of the discharge source in the stator winding insulation, effectively eliminate the interference of various harmonics in the power grid, reduce the influence of other current signals while amplifying the signals, improve the accuracy of signal transmission, can be shielded by a shielding module, can effectively process the interference signal source, improve the consistency of signal types, ensure the accuracy of the detection results, can well solve the problem of conflict between continuously monitored data and historical data, and is also convenient for later viewing and calling. According to the analysis results, the insulation monitoring results can be effectively judged, and multi-network high-voltage motor insulation detection can be realized to solve the problems raised in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A multi-network high-voltage motor insulation detection system, comprising:

[0008] A discharge monitoring system for picking up internal signals of a high-voltage motor;

[0009] And an insulation monitoring system for receiving the signals emitted by the discharge monitoring system;

[0010] The discharge monitoring system is used to be arranged inside the high-voltage motor and detect and pick up the signals generated by the high-voltage motor;

[0011] After detecting the signals, the discharge monitoring system preprocesses the detected signals and then transmits them to the insulation monitoring system for monitoring.

[0012] Further, the discharge monitoring system includes a discharge sensor for monitoring the discharge signal in the high-voltage motor, and a signal preprocessing module for signal transmission between the discharge sensor. There is a signal anti-interference module for ensuring the stability during the signal transmission between the discharge sensor and the signal preprocessing module. The signal preprocessing module shields external signal interference during the signal preprocessing process by the signal anti-interference module.

[0013] Further, an amplifier module for enhancing the discharge signal detected by the discharge sensor is provided in the signal preprocessing module, and a signal acquisition module for acquiring the signal amplified by the amplifier module. The signal acquisition module is used to transmit the acquired signal to a conversion module, and the conversion module after converting the signal form transmits the data into the insulation monitoring system.

[0014] Further, the signal anti-interference module includes an interference signal source detection module for monitoring interference signals during the discharge detection process. It has multiple sets of anti-interference structures according to the causes of the interference signals by the interference signal source detection module. The interference signal source detection module is connected to the interference signal processing module through signal transmission. For multiple interference signal sources, a shielding module for shielding external interference is provided in the interference signal processing module.

[0015] Further, a data processing module for receiving signal data is provided in the insulation monitoring system, and a database management module for managing the storage of historical data is provided for the continuous input of signal data during the detection process by the data processing module. An analysis module for detecting the signal data input by the data processing module is provided in the insulation monitoring system, and a curve image is presented by a chart drawing module for the data parameters analyzed by the analysis module.

[0016] Further, the analysis module includes:

[0017] A signal receiving unit for receiving the detection signal from the data processing module and extracting the signal characteristics of the detection signal;

[0018] A signal division unit for determining the signal period of the detection signal according to the signal characteristics, and based on the signal period, dividing the detection signal to obtain multiple sets of signals with similar waveforms;

[0019] A signal judgment unit for comparing the multiple sets of signals with similar waveforms with a standard waveform signal to obtain a signal difference, and judging whether the signal difference is within a preset difference range;

[0020] If so, output the signal data of the multiple groups of waveform-similar signals to the chart drawing module;

[0021] Otherwise, output the multiple groups of waveform-similar signals and signal differences to the signal analysis unit for analysis;

[0022] The signal analysis unit is configured to, after receiving the multiple groups of waveform signals and signal differences, extract multiple groups of target signals with signal differences in the multiple groups of waveform signals, and form a signal sequence with the multiple groups of target signals according to the acquisition time of the multiple groups of waveform signals;

[0023] The type determination unit is configured to sequentially input the signal sequence into a preset signal waveform-insulation judgment detection model to obtain the insulation fault type;

[0024] The degree determination unit is configured to obtain a fault signal waveform under a preset fault degree for the insulation fault type, and sequentially superimpose and compare the signal sequence with the fault signal waveform to obtain a dynamic waveform frame;

[0025] The degree determination unit is further configured to determine the insulation fault degree under the insulation fault type based on the waveform shape and waveform trend of the dynamic waveform frame;

[0026] The marking unit is configured to mark the dynamic waveform frame based on the insulation fault degree to obtain a target waveform frame;

[0027] The signal output unit is configured to output the signal data of the multiple groups of waveform-similar signals and the target waveform frame to the chart drawing module.

[0028] Further, the management process of the discharge monitoring system includes the following steps:

[0029] S1: Place the discharge sensor in the discharge monitoring system in the stator slot of the high-voltage motor to detect and pick up the discharge signals of the discharge sources in the stator winding insulation;

[0030] S2: During the process of picking up the discharge signals, the signal anti-interference module detects the interference information during the detection process and shields the interference signals;

[0031] S3: The discharge sensor transmits the detected signals to the signal preprocessing module for signal preprocessing;

[0032] S4: The preprocessed signals are transmitted to the insulation monitoring system for insulation detection and analysis by converting the signal form.

[0033] Further, the signal anti-interference method of the signal anti-interference module in S2 includes the following steps:

[0034] S201: When detecting the discharge signal inside the high-voltage motor, the interference signal source detection module detects and eliminates the possible signal interference sources in the detection environment;

[0035] S202: For the detected interference signal, the interference signal processing module estimates and judges the influence degree of the signal interference, and conducts processing;

[0036] S203: For different interference factors, formulate anti-interference schemes, and change or adjust according to the detection environment;

[0037] S204: When relatively close interference signals appear inside the motor itself, the signal is shielded through the shielding module.

[0038] Furthermore, the preprocessing method for the signal preprocessing module in S3 includes the following steps:

[0039] S301: After the discharge signal is detected and transmitted, the amplifier module in the signal preprocessing module amplifies the signal;

[0040] S302: For the amplified discharge signal, the discharge signal is collected through the signal acquisition module;

[0041] S303: When the discharge signal passes through the amplifier module, while the discharge signal is amplified, it is filtered;

[0042] S304: The conversion module converts the type of the collected signal, and transmits it to the insulation monitoring system by changing the signal form.

[0043] Furthermore, the monitoring method for the insulation monitoring system in S4 includes the following steps:

[0044] S401: The data processing module is used to process the detected, amplified, filtered, and signal with converted form, and conducts corresponding processing on the signal filtering;

[0045] S402: The processed data is stored in the database, and the database management module divides, organizes, and transfers the data stored in different time periods;

[0046] S403: After the signal data is processed, the data analysis module analyzes the waveform released by the detected signal, and judges the insulation detection result according to the waveform;

[0047] S404: The chart drawing module draws the waveform diagram generated by the signal according to various data parameters of the analyzed signal, and displays it in a graphical display manner.

[0048] Further, in step S201, the interference signal source detection module detects and eliminates possible interference signal sources in the detection environment, including:

[0049] S2011: Obtain the preset interference sources in the detection environment and determine the interference types of the preset interference sources in the detection environment;

[0050] S2012: Based on the interference types corresponding to the preset interference sources, determine the interference detection scheme for the preset interference sources;

[0051] S2013: According to the interference detection scheme, detect the interference detection data and calculate the first interference value G of the preset interference source using the following formula;

[0052]

[0053] where δ represents the precision value of the detection instrument used in the interference detection scheme, with a value range of (0.70, 0.99), K represents the standard detection precision value, with a value range of (0.85, 0.99), T represents the detection duration, U represents the detection voltage, I represents the detection voltage, t represents the current detection time, with a value range of (0, T], P(t) is the detection power value at the current detection time, e represents the natural constant, with a value of 2.72, and K(t) represents the standard detection data value at the current detection time under the interference detection scheme;

[0054] S2014: Determine whether the first interference value is greater than the first preset threshold;

[0055] If so, determine that the preset interference source may cause interference during the detection of the discharge signal in the high-voltage motor and use the preset interference source as the interference source to be detected;

[0056] Otherwise, determine that the preset interference source does not cause interference to the detection of the discharge signal in the high-voltage motor;

[0057] S2015: According to the interference types of the interference sources to be detected, determine the signal interference rules for the discharge signal in the high-voltage motor and obtain the signal change rules of the discharge signal in the high-voltage motor under the operation of the interference sources to be detected;

[0058] S2016: According to the signal interference rules and signal change rules, and use the following formula to determine the second interference value R of the interference source to be detected on the discharge signal in the high-voltage motor;

[0059]

[0060] Wherein, X represents the period of the signal interference law, Y represents the period of the signal variation law, n represents the number of sampling points of the signal interference law, m represents the number of sampling points of the signal variation law, and Δρ i represents the mapping variable of the i-th sampling point of the signal interference law, and d i represents the law distribution parameter of the i-th sampling point of the signal interference law, and Δσ j represents the mapping variable of the j-th sampling point of the signal variation law, and E j represents the law distribution parameter of the j-th sampling point of the signal variation law;

[0061] S2017: Determine whether the second interference value is greater than the second preset threshold;

[0062] If so, determine that the to-be-detected interference source may interfere with the detection of the discharge signal in the high-voltage motor, and use the preset interference source as the target interference source;

[0063] Otherwise, determine that the preset interference source does not interfere with the detection of the discharge signal in the high-voltage motor.

[0064] Compared with the prior art, the beneficial effects of the present invention are:

[0065] 1. For the multi-network high-voltage motor insulation detection system and method proposed by the present invention, the discharge monitoring system is used to be arranged inside the high-voltage motor and detect and pick up the signals generated by the high-voltage motor. The discharge monitoring system includes a discharge sensor for monitoring the discharge signal in the high-voltage motor. The discharge sensor is placed in the stator slot of the high-voltage motor. Because in the high-voltage motor, its position in the stator slot is close to the discharge source in the stator winding insulation, it can quickly and accurately detect and pick up the discharge signal of the discharge source in the stator winding insulation.

[0066] 2. For the multi-network high-voltage motor insulation detection system and method proposed by the present invention, an amplifier module for enhancing the discharge signal detected by the discharge sensor is arranged in the signal preprocessing module. A filter for filtering is arranged in the amplifier module. The filter effectively filters specific frequencies that appear in the discharge signal to ensure that a signal of a required frequency is obtained at the output end. When filtering, a channel is established, and the additional phase shift generated by the leakage current signal Ix of the capacitive device and the voltage reference signal PT after passing through their respective channels is zero. In this way, the measurement accuracy of the dielectric loss value tgδ of the device can be ensured. The attenuation rate of the harmonics superimposed on the signal reaches 80 dB / 1 octave after comprehensive processing, effectively eliminating the interference of various harmonics in the power grid. It can reduce the influence of other current signals while amplifying the signal and improve the accuracy of signal transmission.

[0067] 3. The multi-network high-voltage motor insulation detection system and method proposed by the present invention. The interference signal source detection module is connected to the interference signal processing module through signal transmission. For multiple interference signal sources, a shielding module for shielding external interference is provided in the interference signal processing module. For the interference sources exemplified above, the interference signal processing module gives the specific detected interference reasons. For the interference signals that occur inside the motor during the detection process, they can be shielded by the shielding module, which can effectively process the interference signal sources, improve the consistency of signal types, and ensure the accuracy of the detection results.

[0068] 4. The multi-network high-voltage motor insulation detection system and method proposed by the present invention. The data processing module continuously inputs signal data during the detection process and is provided with a database management module for managing the storage of historical data. During the detection process, data will be continuously transmitted into the database. In order not to affect the system execution speed, the database management module manages the data stored inside. For example: all the data in the database can be divided according to the date and can be managed in the way of year, month, and day. When a new day begins, the data of the previous day is packaged and transferred to another directory for storage. For the data of a month, it is transferred and saved with the file name in the way of year + month. Through the above method, the problem of conflicts between continuously monitored data and historical data can be well solved, and it is also convenient for later viewing and calling.

[0069] 5. The multi-network high-voltage motor insulation detection system and method proposed by the present invention. The data analysis module analyzes the waveforms released by the detection signals and judges the insulation detection results according to the waveforms. The data parameters analyzed by the data analysis module are presented as curve images by the chart drawing module. During the drawing process, the voltage value is constantly changing, generating multiple different voltages. First, use the line function to connect two points into a line segment, continuously change the values of the horizontal and vertical coordinates (X, Y), and connect them all into a curve to form a curve graph. According to the analysis results, it is displayed by the curve graph. According to the analysis results, the insulation monitoring results can be effectively judged, realizing the multi-network high-voltage motor insulation detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 is the overall module diagram of the present invention;

[0071] Figure 2 is the overall algorithm flow chart of the present invention;

[0072] Figure 3 is the signal preprocessing module diagram of the present invention;

[0073] Figure 4 is the interference signal source detection module diagram of the present invention;

[0074] Figure 5 It is the module diagram of the insulation monitoring system of the present invention;

[0075] Figure 6 It is the overall flowchart of the present invention;

[0076] Figure 7 It is the flowchart of signal preprocessing of the present invention;

[0077] Figure 8 It is the flowchart of detecting interference signal sources of the present invention;

[0078] Figure 9 It is the insulation monitoring flowchart of the present invention.

[0079] In the figure: 1. Discharge monitoring system; 11. Discharge sensor; 12. Signal preprocessing module; 121. Amplifier module; 122. Signal acquisition module; 123. Conversion module; 13. Signal anti-interference module; 131. Interference signal source detection module; 132. Interference signal processing module; 133. Shielding module; 2. Insulation monitoring system; 21. Data processing module; 22. Database management module; 23. Data analysis module; 24. Chart drawing module. Specific embodiments

[0080] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0081] Please refer to Figure 1 - Figure 2 , a multi-network high-voltage motor insulation detection system, including:

[0082] A discharge monitoring system 1 for picking up internal signals of a high-voltage motor. The discharge monitoring system 1 is used to be arranged inside the high-voltage motor and detect and pick up the signals generated by the high-voltage motor. The discharge monitoring system 1 includes a discharge sensor 11 for monitoring discharge signals inside the high-voltage motor. The discharge sensor 11 is placed in the stator slots of the high-voltage motor. Because in a high-voltage motor, its position in the stator slots is close to the discharge source in the stator winding insulation, it can distinguish the discharge signals of the stator insulation from external interference signals and can quickly and accurately detect and pick up the discharge signals of the discharge source in the stator winding insulation.

[0083] A signal preprocessing module 12 for signal transmission between the discharge sensors 11. The signal preprocessing module 12 needs to accurately identify and locate its signal before converting and transmitting the signal later. Among them, in this process, a signal anti-interference module 13 for ensuring the stability of the signal transmission between the discharge sensor 11 and the signal preprocessing module 12 is required. The signal anti-interference module 13 can shield external signal interference during the signal preprocessing process of the signal preprocessing module 12.

[0084] An insulation monitoring system 2 for receiving the signals emitted within the discharge monitoring system 1. Under the setting of the detection environment, its detection object is a multi-network high-voltage motor. For the detection of a multi-network high-voltage motor, the set number of the discharge monitoring system 1 matches the number of high-voltage motor units to be detected. In the context of a limited environment, the discharge monitoring system 1 for picking up internal signals of the high-voltage motor is mostly a subsystem of the insulation monitoring system 2. After the detected signals are preprocessed within the discharge monitoring system 1, they are transmitted to the insulation monitoring system 2 for monitoring. The two send data in frames through the lower computer. Each frame of data has a total of 192 bytes. After sending each byte, a delay of 2 ms is set. After sending a frame of data, wait for about 8 seconds and then send the next frame of data. The total number of frames in a complete sending cycle does not exceed 64 frames of data. The number of frames of data depends on the number of successful communications between the lower computer and the front-end data acquisition unit and the number of front-end data acquisition units.

[0085] Please refer to Figure 2 An amplifier module 121 for enhancing the discharge signal detected by the discharge sensor 11 is provided within the signal preprocessing module 12. A filter for filtering is provided within the amplifier module 121. The filter effectively filters out specific frequencies that appear in the discharge signal, ensuring that a signal with a required frequency is obtained at the output end. When filtering, a channel is established, and the additional phase shift generated by the leakage current signal Ix of the capacitive device and the voltage reference signal PT after passing through their respective channels is zero. This can ensure the measurement accuracy of the dielectric loss value tgδ of the device. The attenuation rate of the harmonics superimposed on the signal reaches 80 dB / 1 octave after comprehensive processing, effectively eliminating the interference of each harmonic in the power grid. It can reduce the influence of other current signals while amplifying the signal, improving the accuracy of signal transmission.

[0086] The signal acquisition module 122 is configured to acquire the signal amplified by the amplifier module 121. During acquisition, it reads the status of signals such as the pulse of the amplified input signal, and classifies and identifies the partial discharge signals after reading. The signal acquisition module 122 is used to transmit the acquired signal to the conversion module 123. An A / D converter is provided in the conversion module 123 to convert the analog quantity into a digital quantity and then transmit it to the insulation monitoring system 2 for data processing and analysis.

[0087] Please refer to Figure 3 , the signal anti-interference module 13 includes an interference signal source detection module 131 for monitoring interference signals during the discharge detection process. It has multiple anti-interference structures according to the reasons of the interference signal source detected by the interference signal source detection module 131. There are many interference factors that the interference signal source detection module 131 can detect, including power supply interference. For example, controlling certain devices, voltage regulators, and transformers to be turned on (without boosting) may affect the detection. It also includes electromagnetic radiation detection interference. For example, radio frequency interference caused by electromagnetic coupling of the external electromagnetic field of the loop to the loop, interference from adjacent high-voltage equipment, fluorescent lamps, electric welding, arc or spark discharge. It also includes interference of partial discharge signal types. For example, partial discharge signals excited by different noise and insulation defect sources have different waveforms, resulting in signal interference.

[0088] The interference signal source detection module 131 is connected to the interference signal processing module 132 through signal transmission. For various interference signal sources, a shielding module 133 for shielding external interference is provided in the interference signal processing module 132. For the above-mentioned interference sources, the interference signal processing module 132 gives the specific interference reasons detected. During the detection process, when interference signals appear inside the motor and interference pulses from other high-voltage equipment outside the motor propagate along the cable or enclosed busbar, the leading edge of the pulse becomes slower, and the high-frequency components of the interference signal pulse have a large attenuation, which can be shielded by the shielding module 133. It can effectively process the interference signal source, improve the consistency of signal types, and ensure the accuracy of the detection results.

[0089] Please refer to Figure 4, a data processing module 21 for receiving signal data is provided in the insulation monitoring system 2. When the data processing module 21 processes data, the receiving program for data transmission should also store a frame of received data in the form of a three-dimensional array. Each dimension represents the circuit data of three phases A, B, and C respectively. A three-dimensional array can be defined to store each item of data, and a one-dimensional array can be defined to temporarily store the received data. When the reception starts, first judge whether the computer port is open. If it is closed, open the port. And for the signal data input continuously during the detection process by the data processing module 21, a database management module 22 for managing the storage of historical data is provided. During the detection process, data will be continuously transmitted into the database. In order not to affect the system execution speed, the database management module 22 manages the data stored internally. For example, all the data in the database can be divided according to the date, and can be managed in the way of year, month, and day. When a new day starts, the data of yesterday is packaged and transferred to another directory for storage. For the data of one month, it is transferred and saved with the file name in the way of year + month. Through the above method, the problem of conflict between continuously monitored data and historical data can be well solved, and it is also convenient for later viewing and calling.

[0090] A data analysis module 23 for detecting the signal data input by the data processing module 21 is provided in the insulation monitoring system 2. After the signal data is processed, the data analysis module 23 analyzes the waveform released by the detected signal, and judges the insulation detection result according to the waveform. The data parameters analyzed by the data analysis module 23 are presented as a curve image by a chart drawing module 24. During the drawing process, the voltage value is constantly changing, generating multiple different voltages. First, use the line function to connect two points into a line segment, continuously change the values of the horizontal and vertical coordinates (X, Y), and connect them all into a curve to form a curve graph. According to the analysis result, it is displayed by the curve graph. According to the analysis result, the insulation monitoring result can be effectively judged, and multi-network high-voltage motor insulation detection is realized.

[0091] Please refer to Figure 5 , the management process of the discharge monitoring system 1 includes the following steps:

[0092] S1: Place the discharge sensor 11 in the discharge monitoring system 1 in the stator slot of the high-voltage motor to detect and pick up the discharge signal of the discharge source in the stator winding insulation;

[0093] S2: During the process of picking up the discharge signal, the signal anti-interference module 13 detects the interference information during the detection process and shields the interference signal;

[0094] S3: The discharge sensor 11 transmits the detected signal to the signal preprocessing module 12 for signal preprocessing;

[0095] S4: The preprocessed signal is used for insulation detection and analysis in the insulation monitoring system 2 by converting the signal form and transmitting it.

[0096] Please refer to Figure 6 , and the signal anti-interference method for the signal anti-interference module 13 in S2 includes the following steps:

[0097] S201: When detecting the discharge signal in the high-voltage motor, the interference signal source detection module 131 detects and checks the possible signal interference sources in the detection environment;

[0098] S202: For the detected interference signal, the interference signal processing module 132 estimates and judges the degree of signal interference and processes it;

[0099] S203: Develop an anti-interference plan for different interference factors, and change or adjust according to the detection environment;

[0100] S204: When relatively close interference signals appear inside the motor itself, the signal is shielded by the shielding module 133.

[0101] Please refer to Figure 7 , and the preprocessing method for the signal preprocessing module 12 in S3 includes the following steps:

[0102] S301: After the discharge signal is detected and transmitted, the amplifier module 121 in the signal preprocessing module 12 amplifies the signal;

[0103] S302: The discharge signal is collected by the signal acquisition module 122 for the amplified discharge signal;

[0104] S303: When the discharge signal passes through the amplifier module 121, while the discharge signal is amplified, it is filtered;

[0105] S304: The conversion module 123 converts the type of the collected signal and transmits it to the insulation monitoring system 2 by changing the signal form.

[0106] Please refer to Figure 8 , and the monitoring method for the insulation monitoring system 2 in S4 includes the following steps:

[0107] S401: The data processing module 21 is used to process the detected, amplified, filtered, and signal with converted form signals, and perform corresponding processing on signal filtering;

[0108] S402: The processed data is used to be stored in the database, and the database management module 22 divides, sorts out and transfers the data stored in different time periods;

[0109] S403: After the signal data is processed, the data analysis module 23 analyzes the waveforms released by the detected signals, and judges the insulation detection results according to the waveforms;

[0110] S404: The chart drawing module 24 draws the waveform diagrams generated by the signals according to various data parameters of the analyzed signals, and displays them in a graphical display manner.

[0111] In summary, for the multi-network high-voltage motor insulation detection system and method proposed by the present invention, the discharge monitoring system 1 is used to be arranged inside the high-voltage motor and detect and pick up the signals generated by the high-voltage motor. The discharge monitoring system 1 includes a discharge sensor 11 for monitoring the discharge signals inside the high-voltage motor. The discharge sensor 11 is placed in the stator slots of the high-voltage motor. Because in a high-voltage motor, the position in its stator slots is close to the discharge source in the stator winding insulation, it can quickly and accurately detect and pick up the discharge signals of the discharge source in the stator winding insulation. An amplifier module 121 for enhancing the discharge signals detected by the discharge sensor 11 is arranged in the signal preprocessing module 12. A filter for filtering is arranged in the amplifier module 121. The filter effectively filters specific frequencies that appear in the discharge signals to ensure that a signal of a required frequency is obtained at the output end. When filtering, a channel is established, and the additional phase shift generated by the leakage current signal Ix of the capacitive device and the voltage reference signal PT after passing through their respective channels is zero. In this way, the measurement accuracy of the dielectric loss value tgδ of the device can be ensured. The attenuation rate of the harmonics superimposed on the signal reaches 80 dB / 1 octave after comprehensive processing, effectively eliminating the interference of various harmonics in the power grid. It can reduce the influence of other current signals while amplifying the signal, improving the accuracy of signal transmission. The interference signal source detection module 131 is connected to the interference signal processing module 132 through signal transmission. For various interference signal sources, a shielding module 133 for shielding external interference is arranged in the interference signal processing module 132. For the interference sources exemplified above, the interference signal processing module 132 gives the specific interference reasons detected. For the interference signals that appear inside the motor during the detection process, they can be shielded by the shielding module 133, effectively processing the interference signal sources, improving the consistency of signal types, and ensuring the accuracy of the detection results. During the detection process, the data processing module 21 continuously inputs signal data and is provided with a database management module 22 for managing the storage of historical data. During the detection process, data will be continuously transmitted to the database. In order not to affect the system execution speed, the database management module 22 manages the data stored inside. For example: all the data in the database is divided according to the date, and it can be managed in the way of year, month, and day. When a new day begins, the data of yesterday is packaged and transferred to another directory for storage. For the data of one month, it is transferred and saved with the file name in the way of year + month. Through the above method, the problem of conflict between the continuously monitored data and the historical data can be well solved, and it is also convenient for later viewing and calling. The waveform released by the detection signal is analyzed by the data analysis module 23, and the insulation detection result is judged according to the waveform. The data parameters analyzed by the data analysis module 23 are presented as curve images by the chart drawing module 24. During the drawing process, the voltage value is constantly changing.Generate multiple different electric currents. First, use the line function to connect two points into a line segment. Continuously change the values of the horizontal and vertical coordinates (X, Y) and connect them all into a curve to form a curve graph. According to the analysis structure, display it based on the curve graph. According to the analysis results, effectively judge the insulation monitoring results and achieve multi-network high-voltage motor insulation detection.

[0112] In one embodiment, the data analysis module 23 includes:

[0113] A signal receiving unit, configured to receive a detection signal from the data processing module 21 and extract the signal characteristics of the detection signal;

[0114] A signal division unit, configured to determine the signal period of the detection signal according to the signal characteristics, and based on the signal period, divide the detection signal to obtain multiple groups of waveform-similar signals;

[0115] A signal judgment unit, configured to compare the multiple groups of waveform-similar signals with a standard waveform signal to obtain a signal difference, and judge whether the signal difference is within a preset difference range;

[0116] If so, output the signal data of the multiple groups of waveform-similar signals to the chart drawing module 24;

[0117] Otherwise, output the multiple groups of waveform-similar signals and the signal difference to the signal analysis unit for analysis;

[0118] The signal analysis unit is configured to, after receiving the multiple groups of waveform signals and the signal difference, extract multiple groups of target signals with signal differences in the multiple groups of waveform signals, and form a signal sequence with the multiple groups of target signals according to the acquisition time of the multiple groups of waveform signals;

[0119] A type determination unit, configured to sequentially input the signal sequence into a preset signal waveform-insulation judgment detection model to obtain an insulation fault type;

[0120] A degree determination unit, configured to obtain a fault signal waveform under a preset fault degree of the insulation fault type, and sequentially superimpose and compare the signal sequence with the fault signal waveform to obtain a dynamic waveform frame;

[0121] The degree determination unit is further configured to determine the insulation fault degree under the insulation fault type based on the waveform shape and waveform trend of the dynamic waveform frame;

[0122] A marking unit, configured to mark the dynamic waveform frame based on the insulation fault degree to obtain a target waveform frame;

[0123] A signal output unit, configured to output the signal data of the multiple groups of waveform-similar signals and the target waveform frame to the chart drawing module 24.

[0124] In this embodiment, the multiple groups of waveform-similar signals are obtained by dividing according to the signal period. Due to possible interference with the detection signal, the multiple groups of waveform-similar signals are not completely the same.

[0125] In this embodiment, the standard waveform signal is the waveform signal when the insulation state of the high-voltage motor is normal. When the signal difference is within the preset difference range, it indicates that the insulation state of the high-voltage motor detected by the detection signal is normal. Therefore, there is no need to further analyze the multiple groups of waveform-similar signals, and they can be directly output to the chart drawing module.

[0126] In this embodiment, the waveform-insulation judgment detection model is trained according to different insulation fault types corresponding to different waveforms.

[0127] In this embodiment, the waveform shape is used to reflect the fault degree, and the waveform trend is used to reflect the fault trend.

[0128] The beneficial effects of the above design are as follows: First, by comparing the detection signal with the standard signal, it is determined whether there is an insulation fault, and the detection signal is analyzed differently according to whether there is an insulation fault. When there is no insulation fault, the detection signal is directly output, ensuring the efficiency of data analysis. When there is an insulation fault, further analyze the detection signal according to the characteristics of the fault type and fault degree, accurately obtain the type and degree of the insulation fault that occurs, and then mark the waveform frame according to the type and degree of the insulation fault that occurs to obtain the target waveform frame, providing rich signal data for the chart drawing module, which is beneficial to the drawing of the chart. Finally, the efficiency and accuracy of the waveform judgment insulation detection result are ensured.

[0129] In one embodiment, in step S201, the interference signal source detection module 131 detects and eliminates possible signal interference sources in the detection environment, including:

[0130] S2011: Obtain the preset interference sources in the detection environment and determine the interference types of the preset interference sources in the detection environment;

[0131] S2012: Based on the interference types corresponding to the preset interference sources, determine the interference detection scheme for the preset interference sources;

[0132] S2013: According to the interference detection scheme, detect the interference detection data and calculate the first interference value G of the preset interference source using the following formula;

[0133]

[0134] Among them, δ represents the precision value of the detection instrument used in the interference detection scheme, and its value range is (0.70, 0.99); K represents the standard detection precision value, and its value range is (0.85, 0.99); T represents the detection duration; U represents the detection voltage; I represents the detection voltage; t represents the current detection time, and its value range is (0, T]; P(t) is the detection power value at the current detection time; e represents the natural constant, and its value is 2.72; K(t) represents the standard detection data value at the current detection time under the interference detection scheme;

[0135] S2014: Determine whether the first interference value is greater than the first preset threshold;

[0136] If so, determine that the preset interference source may cause interference during the detection of the discharge signal in the high-voltage motor, and take the preset interference source as the interference source to be detected;

[0137] Otherwise, determine that the preset interference source does not cause interference during the detection of the discharge signal in the high-voltage motor;

[0138] S2015: According to the interference type of the interference source to be detected, determine the signal interference law of the discharge signal in the high-voltage motor, and obtain the signal change law of the discharge signal in the high-voltage motor under the operation of the interference source to be detected;

[0139] S2016: According to the signal interference law and the signal change law, and according to the following formula, determine the second interference value R of the interference source to be detected on the discharge signal in the high-voltage motor;

[0140]

[0141] Among them, X represents the period of the signal interference law, Y represents the period of the signal change law, n represents the number of sampling points of the signal interference law, m represents the number of sampling points of the signal change law, Δρ i represents the mapping variable of the i-th sampling point of the signal interference law, d i represents the law distribution parameter of the i-th sampling point of the signal interference law, Δσ j represents the mapping variable of the j-th sampling point of the signal change law, E j represents the law distribution parameter of the j-th sampling point of the signal change law;

[0142] S2017: Determine whether the second interference value is greater than the second preset threshold;

[0143] If so, determine that the interference source to be detected may cause interference during the detection of the discharge signal in the high-voltage motor, and take the preset interference source as the target interference source;

[0144] Otherwise, it is determined that the preset interference source does not interfere with the detection of the discharge signal in the high-voltage motor.

[0145] In this embodiment, the number of sampling points of the signal interference law and the signal change law is related to the periods of the signal interference law and the signal change law. The longer the period, the longer the corresponding number of sampling points.

[0146] In this embodiment, the standard detection data value at the current detection time under the interference detection scheme is normalized, and is consistent with the unit of the actually detected data value.

[0147] In this embodiment, the mapping variable of the sampling point is determined according to the law characteristics of the signal interference law and the signal change law.

[0148] In this embodiment, the law distribution parameters are, for example, signal change trend parameters, signal peak parameters, signal extreme value parameters, etc.

[0149] The beneficial effects of the above design scheme are as follows: By analyzing the data parameters of the preset interference source itself, the first interference value on the motor discharge signal is determined to initially determine the possible influence on the motor discharge signal. After determining the possible influence, the signal change law of the interference source is calculated with the signal change law of the discharge signal in the high-voltage motor to obtain the second interference value, and finally the target interference source that interferes with the motor is determined, improving the detection efficiency of the interference source and the accuracy of determining the target interference source.

[0150] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. A multi-network high-voltage motor insulation detection system, characterized in that: Including: A discharge monitoring system (1) for picking up internal signals of a high-voltage motor; And an insulation monitoring system (2) for receiving the signals emitted within the discharge monitoring system (1); The discharge monitoring system (1) is used to be arranged inside the high-voltage motor and detect and pick up the signals generated by the high-voltage motor; After detecting the signals, the discharge monitoring system (1) preprocesses the detected signals and then transmits them to the insulation monitoring system (2) for monitoring; The discharge monitoring system (1) includes a discharge sensor (11) for monitoring discharge signals inside the high-voltage motor, a signal preprocessing module (12) for signal transmission between the discharge sensors (11), and a signal anti-interference module (13) required to ensure the stability during the signal transmission between the discharge sensor (11) and the signal preprocessing module (12). The signal anti-interference module (13) includes an interference signal source detection module (131) for monitoring interference signals during the discharge detection. According to the interference signal source detection module (131), there are multiple groups of anti-interference structures set for the reasons of interference signals. The interference signal source detection module (131) is connected to an interference signal processing module (132) through signal transmission. For multiple interference signal sources, a shielding module (133) for shielding external interference is set inside the interference signal processing module (132).

2. The multi-network high-voltage motor insulation detection system according to claim 1, wherein: The signal anti-interference module (13) can shield external signal interference during the signal preprocessing process of the signal preprocessing module (12). Inside the signal preprocessing module (12), there is an amplifier module (121) for enhancing the discharge signals detected by the discharge sensor (11), a signal acquisition module (122) for acquiring the signals amplified by the amplifier module (121). The signal acquisition module (122) is used to transmit the acquired signals to a conversion module (123), and the conversion module (123) after converting the signal form transmits the data to the insulation monitoring system (2).

3. A multi-network high-voltage motor insulation detection system according to claim 1, characterized in that: Inside the insulation monitoring system (2), there is a data processing module (21) for receiving signal data, and for the continuous input of signal data during the detection process of the data processing module (21), there is a database management module (22) for managing the storage of historical data. Inside the insulation monitoring system (2), there is a data analysis module (23) for detecting the signal data input by the data processing module (21). The data parameter after analysis by the data analysis module (23) is presented as a curve image by a chart drawing module (24).

4. A multi-network high-voltage motor insulation detection system according to claim 3, characterized in that: The data analysis module (23) includes: A signal receiving unit for receiving the detection signals from the data processing module (21) and extracting the signal features of the detection signals; A signal dividing unit for determining the signal period of the detection signals according to the signal features and dividing the detection signals based on the signal period to obtain multiple groups of signals with similar waveforms; A signal judgment unit, configured to compare the multiple groups of waveform-similar signals with a standard waveform signal to obtain a signal difference, and judge whether the signal difference is within a preset difference range; If so, output the signal data of the multiple groups of waveform-similar signals to the chart drawing module (24); Otherwise, output the multiple groups of waveform-similar signals and the signal difference to the signal analysis unit for analysis; The signal analysis unit is configured to, after receiving the multiple groups of waveform signals and the signal difference, extract multiple groups of target signals with signal differences in the multiple groups of waveform signals, and form a signal sequence with the multiple groups of target signals according to the acquisition time of the multiple groups of waveform signals; A type determination unit, configured to sequentially input the signal sequence into a preset signal waveform-insulation judgment detection model to obtain an insulation fault type; A degree determination unit, configured to obtain a fault signal waveform under a preset fault degree for the insulation fault type, and sequentially superimpose and compare the signal sequence with the fault signal waveform to obtain a dynamic waveform frame; The degree determination unit is further configured to determine the insulation fault degree under the insulation fault type based on the waveform shape and waveform trend of the dynamic waveform frame; A marking unit, configured to mark the dynamic waveform frame based on the insulation fault degree to obtain a target waveform frame; A signal output unit, configured to output the signal data of the multiple groups of waveform-similar signals and the target waveform frame to the chart drawing module (24).

5. A detection method for the multi-network high-voltage motor insulation detection system according to any one of claims 1-4, characterized in that: The management process of the discharge monitoring system (1) includes the following steps: S1: Place the discharge sensor (11) in the discharge monitoring system (1) in the stator slot of the high-voltage motor to detect and pick up the discharge signal of the discharge source in the stator winding insulation; S2: During the process of picking up the discharge signal, the signal anti-interference module (13) detects the interference information in the detection process and shields the interference signal; S3: The discharge sensor (11) transmits the detected signal to the signal preprocessing module (12) for signal preprocessing; S4: The preprocessed signal is used for insulation detection and analysis by converting the signal form and transmitting it into the insulation monitoring system (2).

6. The detection method of a multi-network high-voltage motor insulation detection system according to claim 5, characterized in that: The signal anti-interference method for the signal anti-interference module (13) in S2 includes the following steps: S201: When detecting the discharge signal in the high-voltage motor, the interference signal source detection module (131) detects and checks the possible signal interference sources in the detection environment; S202: For the detected interference signal, the interference signal processing module (132) estimates and judges the influence degree of the signal interference and performs processing; S203: Develop an anti-interference scheme for different interference factors, and change or adjust according to the detection environment; S204: When relatively close interference signals appear inside the motor itself, the signal is shielded by the shielding module (133).

7. The detection method of a multi-network high-voltage motor insulation detection system according to claim 5, characterized in that: The preprocessing method for the signal preprocessing module (12) in S3 includes the following steps: S301: After the discharge signal is detected and transmitted, the amplifier module (121) in the signal preprocessing module (12) amplifies the signal; S302: The amplified discharge signal is collected by the signal acquisition module (122). S303: When the discharge signal passes through the amplifier module (121), the discharge signal is amplified and filtered simultaneously. S304: The conversion module (123) converts the type of the collected signal and transmits it to the insulation monitoring system (2) by changing the signal form.

8. The detection method of a multi-network high-voltage motor insulation detection system according to claim 5, characterized in that: The monitoring method for the insulation monitoring system (2) in S4 includes the following steps: S301: The data processing module (21) is used to process the detected, amplified, filtered, and signal with converted form, and perform corresponding processing on signal filtering. S302: The processed data is stored in the database, and the database management module (22) divides, organizes, and transfers the data stored in different time periods. S303: After the signal data is processed, the data analysis module (23) analyzes the waveform released by the detected signal and judges the insulation detection result according to the waveform. S304: The chart drawing module (24) draws the waveform diagram generated by the signal according to various data parameters of the analyzed signal and displays it in a graphical display manner.

9. The detection method of a multi-network high-voltage motor insulation detection system according to claim 6, characterized in that: In step S201, the interference signal source detection module (131) detects and checks the possible signal interference sources in the detection environment, including: S2011: Obtain the preset interference sources in the detection environment and determine the interference types of the preset interference sources in the detection environment. S2012: Based on the interference types corresponding to the preset interference sources, determine the interference detection scheme for the preset interference sources. S2013: Detect interference detection data according to the interference detection scheme, and calculate the first interference value of the preset interference source by using the following formula ; ， Among them, represents the precision value of the detection instrument used in the interference detection scheme, with a value range of (0.70, 0.99), K represents the standard detection precision value, with a value range of (0.85, 0.99), T represents the detection duration, t represents the current detection time, with a value range of (0, T], is the detection power value at the current detection time, e represents the natural constant, with a value of 2.72, represents the standard detection data value at the current detection time under the interference detection scheme; S2014: Judge whether the first interference value is greater than the first preset threshold. If so, determine that the preset interference source interferes with the detection of the discharge signal in the high-voltage motor, and use the preset interference source as the interference source to be detected. Otherwise, determine that the preset interference source does not interfere with the detection of the discharge signal in the high-voltage motor. S2015: According to the interference types of the interference sources to be detected, determine the signal interference law of the discharge signal in the high-voltage motor, and obtain the signal change law of the discharge signal in the high-voltage motor under the operation of the interference sources to be detected. S2016: Determine the second interference value of the to-be-detected interference source on the discharge signal in the high-voltage motor according to the signal interference law and the signal change law, and according to the following formula ; ， Among them, represents the period of the signal interference law, represents the period of the signal change law, n represents the number of sampling points of the signal interference law, and m represents the number of sampling points of the signal change law, represents the mapping variable of the i-th sampling point of the signal interference law, represents the law distribution parameter of the i-th sampling point of the signal interference law, represents the mapping variable of the j-th sampling point of the signal change law, represents the law distribution parameter of the j-th sampling point of the signal change law; S2017: Judge whether the second interference value is greater than the second preset threshold. If so, determine that the interference source to be detected interferes with the detection of the discharge signal in the high-voltage motor, and use the preset interference source as the target interference source. Otherwise, determine that the preset interference source does not interfere with the detection of the discharge signal in the high-voltage motor.

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