CN114111657B - System for detecting scaling thickness of voltage-sharing electrode and operation method - Google Patents
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Abstract
The invention discloses a pressure equalizing electrode scaling thickness detection system, which comprises a pressure equalizing electrode detection terminal and an upper computer detection platform, wherein the pressure equalizing electrode detection terminal is connected with the upper computer detection platform; the voltage equalizing electrode detection terminal is internally provided with a control module, and the control module is connected with the upper computer detection platform through a communication module; the control module is respectively connected with the ultrasonic wave transmitting module and the signal acquisition module. The ultrasonic probe is adopted to drive, transmit and receive the integrated design, so that the device is small and convenient, and is convenient for workers to detect and operate on site; the improved noise reduction algorithm is used for completing effective noise reduction of signals, and intelligent detection of scaling of the voltage-sharing electrode is realized based on a pattern recognition algorithm of feature fusion; the intelligent identification of the scale formation signals, waveform display and thickness of the voltage-sharing electrodes is realized by using a clean and simple interaction interface, so that the maintenance of the voltage-sharing electrodes becomes visual, the working intensity of maintenance personnel is greatly reduced, and the maintenance efficiency is improved.
Description
Technical Field
The invention relates to the technical field of converter valve system detection, in particular to a pressure equalizing electrode scaling thickness detection system and an operation method in the use process thereof.
Background
The converter valve is one of core devices in a direct current converter station in an extra-high voltage transmission system. When the system normally operates, a large amount of heat can be generated through the large current of the thyristor, if the heat is not timely dissipated, components such as the thyristor and the like can be damaged due to overheat of temperature, so that the normal operation of the system is influenced. By installing the voltage equalizing electrode at a proper position, the current can leak through the voltage equalizing electrode, and corrosion of the electrolysis current to the metal piece can be well inhibited. However, scaling phenomenon occurs on the surface of the voltage equalizing electrode in actual operation, which can cause the faults of waterway blockage, water leakage, heat dissipation failure and the like, and even causes accidents of direct current blocking and the like.
Disclosure of Invention
The invention aims to provide a system for detecting the scaling thickness of a voltage-sharing electrode and an operation method thereof, which are used for periodically checking and processing the scaling condition of the voltage-sharing electrode in a water-cooling pipeline in a converter valve tower, knowing the health condition of a water-cooling system in time and providing important guarantee for safe and stable operation of the converter valve and even the whole direct-current system.
In order to achieve the above purpose, the present invention provides the following technical solutions: the system comprises a voltage-sharing electrode detection terminal and an upper computer detection platform, wherein the voltage-sharing electrode detection terminal is connected with the upper computer detection platform;
The voltage equalizing electrode detection terminal is internally provided with a control module, and the control module is connected with the upper computer detection platform through a communication module; the control module is respectively connected with the ultrasonic wave transmitting module and the signal acquisition module.
The invention also provides the following technical scheme: a method of operating a pressure equalizing electrode fouling thickness detection system, the method comprising the steps of
Step one: uniformly smearing an ultrasonic coupling agent on the pipe wall to be detected before detection, and enabling an ultrasonic probe to be opposite to the position where the voltage equalizing electrode is positioned and to be clung to the pipe wall;
step two: starting a power module, and supplying power to an ultrasonic transmitting module, a signal acquisition module, a control module and a communication module of the voltage-sharing electrode detection terminal;
Step three: operating the upper computer to enable the control module to send a detection instruction, and enabling the T/R port of the ultrasonic pulse transmitting and receiving instrument to transmit excitation pulses to excite the ultrasonic probe to work through the BNC line;
step four: echo signals received by the ultrasonic probe are transmitted back to a Through port of the instrument Through the BNC line, and the output end of the receiver is connected to the signal acquisition module to acquire real-time echo signals and transmit the real-time echo signals to the upper computer;
Step five: the upper computer processes the acquired echo signals, and displays the processing results on the upper computer to realize man-machine interaction.
Compared with the prior art, the invention has the beneficial effects that:
The ultrasonic probe is adopted to drive, transmit and receive the integrated design, so that the device is small and convenient, and is convenient for workers to detect and operate on site; the improved noise reduction algorithm is used for completing effective noise reduction of signals, and intelligent detection of scaling of the voltage-sharing electrode is realized based on a pattern recognition algorithm of feature fusion; the intelligent identification of the scale formation signals, waveform display and thickness of the voltage-sharing electrodes is realized by using a clean and simple interaction interface, so that the maintenance of the voltage-sharing electrodes becomes visual, the working intensity of maintenance personnel is greatly reduced, and the maintenance efficiency is improved.
Drawings
FIG. 1 is a schematic block diagram of the online detection system for condensate in a pressure equalizing electrode according to the present invention.
FIG. 2 is a flow chart of the method for detecting scaling of the equalizing electrode of the present invention.
FIG. 3a is a circuit diagram of a portion of the FPGA control system of the present invention.
FIG. 3b is a circuit diagram of a portion of the FPGA control system of the present invention.
Fig. 4 is a circuit diagram of a signal acquisition module according to the present invention.
Fig. 5 is a circuit diagram of an ethernet communication according to the present invention.
FIG. 6 is a functional block diagram of the upper computer detection platform of the present invention.
1. A control module; 2. an ultrasonic wave transmitting module; 3. and the signal acquisition module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in FIG. 1, the system for detecting the scaling thickness of the voltage-sharing electrode comprises a voltage-sharing electrode detection terminal and an upper computer detection platform, wherein a control module 1 is arranged in the voltage-sharing electrode detection terminal, and the control module 1 is in data communication with the upper computer detection platform through a communication module (gigabit Ethernet). The voltage-sharing electrode detection terminal includes:
an ultrasonic wave transmitting module 2 for transmitting ultrasonic wave pulses;
the signal acquisition module 3 is used for acquiring echo signals;
the control module 1 is used for controlling the emission of pulses, the collection of signals and the communication function of the system;
The communication module is used for providing data communication between the control module and the upper computer;
And the power supply module is used for providing working power supply for the detection system.
The control module 1 is respectively connected with the ultrasonic wave transmitting module 2 and the signal acquisition module 3.
The ultrasonic wave transmitting module 2 comprises an ultrasonic probe and an ultrasonic pulse transmitting module, wherein the ultrasonic probe is a double-crystal probe integrating receiving and transmitting, is fixed on one side of a pipeline where the voltage equalizing electrode is positioned and is connected with the pulse transmitting module, and the pulse transmitting module is connected with the ultrasonic probe and the control module 1 and is used for exciting the ultrasonic probe to transmit pulse ultrasonic waves;
the signal acquisition module 3 comprises an isolation limiting circuit and an echo signal acquisition module, wherein the isolation limiting circuit is connected with the ultrasonic probe and the echo signal acquisition module and is used for preprocessing an echo signal, and the echo signal acquisition module is connected with the isolation limiting circuit and the control module and is used for AD sampling the echo signal.
As shown in fig. 2, the present invention also provides a method of operating a pressure equalizing electrode scaling thickness detecting system, the method comprising the steps of:
Step one: before detection, ultrasonic couplant should be uniformly smeared on the detection tube wall, and the probe is clung to the tube wall at the position where the probe is right opposite to the equalizing electrode;
Step two: operating the upper computer to enable the controller to send a detection instruction, and enabling the T/R port of the ultrasonic pulse transmitting and receiving instrument to transmit excitation pulses to excite the ultrasonic probe to work through the BNC line;
Step three: echo signals received by the ultrasonic probe are transmitted back to a Through port of the instrument Through the BNC line, and the output end of the receiver is connected to the signal acquisition module and acquires real-time echo signals.
Step four: the processor realizes noise reduction treatment on the echo signals and identifies the scale-forming condition;
Step five: and the processor transmits the signal processing result to the upper computer to realize man-machine interaction.
In order to ensure the detection precision, the detection range of the ultrasonic probe should be not less than 60mm, and a high-frequency ultrasonic probe is selected; for the ultrasonic pulse transmitting module, the integrated driving chip HV7355 is selected to drive the ultrasonic probe, the output voltage range is 0V-150V, the maximum frequency is 18MHz, and the controller drives and controls the HV7355 in a parallel communication mode; because the amplifier in the sampling circuit can enter a saturated state when the amplitude of the received ultrasonic echo signal is larger, and meanwhile, in order to protect the signal sampling circuit when the ultrasonic probe signal is not sampled, the sampling circuit firstly isolates and limits the echo signal received by the piezoelectric transducer when the sampling circuit collects the echo signal, and in the embodiment, a TX810 chip is selected as an isolation limiting circuit to realize the protection of the signal sampling circuit; the ultrasonic echo signal can not be directly subjected to AD sampling after passing through the amplitude limiting circuit, and can be subjected to AD sampling after being subjected to processing such as amplification, filtering and the like, and data is sent to the FPGA. The XC6SLX9-2FTG256C FPGA chip of the embodiment is used as the main control of the whole system, is used for driving an ultrasonic probe and processing corresponding echo data, and has the characteristics of low cost and low power consumption. The communication module in the embodiment adopts a VSC8601 gigabit Ethernet chip to complete data interaction between the FPGA and the upper computer; meanwhile, the embodiment adopts an RJ-45 standard 8-bit modularized interface as an Ethernet network card interface so as to realize 10M/100M/1000M self-adaptive network connection speed between equipment and an upper computer. The power supply module adopts a two-stage voltage stabilizing circuit design of matching a switching power supply chip and a linear voltage stabilizing chip, so that the conversion efficiency is improved while the power supply quality is ensured, and the power consumption of the device is reduced.
Fig. 3a and 3b are circuit diagrams of a portion of the FPGA control system of the present invention, which are specifically described as follows:
The FPGA acquisition system adopts an XC6SLX9-2FTG256C FPGA chip, and the circuit diagram also comprises a crystal oscillator, a JTAG simulation interface and a power interface.
Fig. 4 is a signal acquisition module of the present invention, which is specifically described as follows:
The pins IN1 to IN8 of the isolation limiting chip TX810 are respectively connected with the pins TX0 to TX7 of the driving chip HV 7355; the pins B1, B2 and B3 of TX810 are respectively connected with the pins C6, D6 and C5 of the XC6SLX9-2FTG256C FPGA chip; the OUT1 to OUT8 pins of the TX810 are respectively connected with the IN1 to IN8 pins of the ultrasonic echo signal acquisition chip AFE 5805; the pins H6 to H8 of the AFE5805 are respectively connected with the pins E11, D11 and D12 of the XC6SLX9-2FTG256C FPGA chip; the pins R1 to R4 and the pins P1 to P4 of the AFE5805 are respectively connected with the pins A5 to A8 and the pins B5 to B8 of the XC6SLX9-2FTG256C FPGA chip; the pins R6 to R9 and the pins P6 to P9 of the AFE5805 are respectively connected with the pins A11 to A14 and the pins B11 to B14 of the XC6SLX9-2FTG256C FPGA chip; the N2 and N8 pins and the N1 and N9 pins of the AFE5805 are respectively connected with the A9 and A10 pins and the C9 and B10 pins of the XC6SLX9-2FTG256C FPGA chip; the pins are connected to realize the processing of isolating amplitude limiting, amplifying filtering and the like of echo signals, and the processing result is transmitted to an upper computer.
Fig. 5 is an ethernet communication circuit according to the present invention, which is specifically described as follows:
The FPGA is required to receive a control instruction of the upper computer, ultrasonic echo data read from the AFE5805 is sent to the upper computer for waveform display, and the device completes data interaction between the FPGA and the upper computer through the VSC8601 gigabit Ethernet chip. The RXD0 to RXD3 pins of the VSC8601 chip are respectively connected with T8, T9, R9 and P9 pins of the XC6SLX9-2FTG256C FPGA chip, MDINT pins are connected with M12 pins of the XC6SLX9-2FTG256C, NRESET pins are connected with M11 pins of the XC6SLX9-2FTG256C, MDIO pins are connected with N12 pins of the XC6SLX9-2FTG256C, TXD0 to TXD3 pins are respectively connected with T4, T5, R5 and T6 pins of the XC6SLX9-2FTG256C, RXCTL pins are connected with P7 pins of the XC6SLX9-2FTG256C, RXCLK pins are connected with R7 pins of the XC6SLX9-2FTG256C, and TXD0 to TXD3 pins are connected with the XC6SLX9-2FTG256C, and the XC6SLX9-2FTG256C is connected with the T6P 35 pins of the XC6SLX9-2FTG 256C. The pins are responsible for communication between the Ethernet chip and the FPGA.
The operation method of the pressure equalizing electrode scaling thickness detecting system in another specific embodiment of the invention comprises the following specific steps:
step one: acquiring data, namely acquiring echo signal data through a detection terminal;
Step two: preprocessing, namely performing noise reduction processing on the acquired signals;
Step three: feature extraction, namely screening feature parameters from the preprocessed signals for model training;
Step four: and identifying the scaling condition of the voltage-sharing electrode by signal identification.
Further, the noise reduction processing method in the second step is specifically a wavelet threshold noise reduction algorithm introducing double factors. By adjusting the two-factor parameter values in the function, the noise reduction performance can be changed by adjusting the threshold value with different parameters under different conditions. The threshold function introducing the alpha and beta double factors is as follows.
Wherein, beta can adjust the order of the transition region, and influence the smoothness of the denoising signal, thereby controlling the deviation between the wavelet coefficient subjected to the threshold processing and the original wavelet coefficient. When β=0 and α=0, the function is given a hard threshold, while β→+ -infinity and α=1, the function approaches the soft threshold infinitely. Lambda is determined by the signal-to-noise ratio and the noise variance. The value of beta is adjusted according to the noise intensity and variance under different scales, and is calibrated according to the actual signal processing effect.
Further, the method for identifying the structure condition of the voltage-sharing electrode in the fourth step specifically comprises the steps of identifying the scaling signals of the voltage-sharing electrode based on feature fusion and BP neural network: the BP neural network model is used for identification, and the identification comprises an input layer, an hidden layer and an output layer. The method has the advantages that under the condition that the hidden layer and the node number are enough, the method can approximate any nonlinear mapping relation, and has better generalization capability. And identifying the scaling condition of the voltage-sharing electrode by using the time domain features, the shape features and the entropy value features of the signals as feature vectors, fusing the feature vectors with the identification rate exceeding 50%, and fusing the fuzzy entropy value, the average value, the root mean square, the energy and the effective value entropy to form fused feature vectors as feature parameters of the BP neural network.
As shown in FIG. 6, the voltage-sharing electrode scaling upper computer detection platform comprises a signal acquisition module and a signal analysis module, wherein the signal acquisition module comprises data acquisition and waveform display, and the signal analysis module comprises data importing, noise reduction processing, feature extraction and thickness identification. The acquisition module and the signal analysis module can be used in a crossed mode or can be used independently.
The upper computer detection platform is based on MATLAB GUI to realize the interaction of software and hardware, the port communication of GUI is connected with the circuit of the acquisition module of the voltage-sharing electrode scaling detection device through USB communication cable, and the control of software to hardware is realized through the relevant button instruction of software platform. At the signal acquisition and storage interface, the software sends an acquisition instruction to the signal acquisition device to enable the signal acquisition device to send data to the computer, meanwhile, a computer window can display acquired waveforms, and through visually watching the data waveforms, whether the signal type is a pipe wall signal or a voltage-equalizing electrode scaling signal can be judged, and the signal data is stored; and importing scaling signal data to be identified into a scaling condition identification interface, carrying out noise reduction treatment on the signal, extracting characteristic parameters of the signal, and finally inputting the characteristic parameters into a neural network model for identification, wherein an obtained scaling layer thickness identification result is displayed in a window.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (2)
1. The utility model provides a voltage-sharing electrode scale deposit thickness detecting system which characterized in that: the device comprises a voltage-sharing electrode detection terminal and an upper computer detection platform, wherein the voltage-sharing electrode detection terminal is connected with the upper computer detection platform;
The voltage equalizing electrode detection terminal is internally provided with a control module (1), and the control module (1) is connected with an upper computer detection platform through a communication module; the control module (1) is respectively connected with the ultrasonic emission module (2) and the signal acquisition module (3);
The ultrasonic wave transmitting module (2) comprises an ultrasonic wave probe and an ultrasonic pulse transmitting module, wherein the ultrasonic wave probe is a receiving and transmitting integrated probe, and the ultrasonic wave probe is connected with the ultrasonic pulse transmitting module; the ultrasonic pulse transmitting module is connected with the control module (1);
the signal acquisition module (3) comprises an isolation limiting circuit and an echo signal acquisition module, and the isolation limiting circuit is connected with the ultrasonic probe and the echo signal acquisition module; the echo signal acquisition module is connected with the control module (1);
The upper computer detection platform comprises a second signal acquisition module and a signal analysis module, wherein the second signal acquisition module is connected with the signal analysis module, and the second signal acquisition module is connected with the voltage-sharing electrode detection terminal through a communication module;
The second signal acquisition module comprises data acquisition and waveform display, and can judge whether the signal type is a pipe wall signal or a voltage-sharing electrode scaling signal by visually watching the data waveform;
the signal analysis module comprises imported data, noise reduction processing, feature extraction and thickness identification; the noise reduction processing adopts a wavelet threshold noise reduction algorithm introducing double factors; the thickness identification is based on feature fusion and BP neural network;
The second signal acquisition module and the signal analysis module can be used in a crossed mode or can be used independently.
2. A method of operating the pressure equalizing electrode fouling thickness detection system of claim 1, wherein: the method comprises the following steps of
Step one: uniformly smearing an ultrasonic coupling agent on the pipe wall to be detected before detection, and enabling an ultrasonic probe to be opposite to the position where the voltage equalizing electrode is positioned and to be clung to the pipe wall;
step two: starting a power module, and supplying power to an ultrasonic transmitting module, a signal acquisition module, a control module and a communication module of the voltage-sharing electrode detection terminal;
step three: operating the upper computer to enable the control module (1) to send a detection instruction, and enabling the T/R port of the ultrasonic pulse transmitting and receiving instrument to transmit excitation pulses to excite the ultrasonic probe to work through the BNC line;
step four: echo signals received by the ultrasonic probe are transmitted back to a Through port of the instrument Through the BNC line, and the output end of the receiver is connected to the signal acquisition module to acquire real-time echo signals and transmit the real-time echo signals to the upper computer;
step five: the upper computer processes the acquired echo signals, and displays the processing results on the upper computer to realize man-machine interaction;
The data processing specifically comprises
Data preprocessing: acquiring echo signal data through a detection terminal, performing noise reduction processing on the acquired signal, and performing waveform display on an upper computer;
feature extraction: screening out characteristic parameters from the preprocessed signals for model training;
And (3) signal identification: identifying scaling conditions of the voltage-sharing electrodes;
The noise reduction processing in the data preprocessing is specifically a wavelet threshold noise reduction algorithm introducing double factors, and the threshold functions introducing alpha and beta double factors are as follows:
wherein, the meaning of alpha and beta is an adjusting factor, the meaning of lambda is a threshold value selected in a wavelet threshold value denoising method, The meaning of w j,k is the wavelet coefficient of the original signal, j is the number of layers of wavelet decomposition, and k is the length of the wavelet coefficient; beta can adjust the order of the transition region, influence the smoothness of the denoising signal, thus control the deviation between the wavelet coefficient subjected to threshold processing and the original wavelet coefficient, lambda is determined by the signal-to-noise ratio and the noise variance, and the value of beta is adjusted according to the noise intensity and the variance and calibrated according to the signal processing effect;
The signal identification is based on characteristic fusion and voltage-sharing electrode scaling signal identification of BP neural network;
and identifying by using a BP neural network model, and identifying the scaling condition of the voltage-sharing electrode by using time domain features, shape features and entropy value features comprising signals as feature vectors.
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| CN117268299B (en) * | 2023-11-17 | 2024-02-06 | 江苏京成机械制造有限公司 | Method and system for detecting wall thickness of desulfurization pipeline based on electromagnetic ultrasound |
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