Detection system and method for forward and reverse switching process of gas turbine capable of reversing

Abstract

The invention provides a system and a method for detecting the forward and reverse switching process of a gas turbine capable of reversing. The system comprises an acoustic parameter monitoring module, a data processing module and a data processing module, wherein the acoustic parameter monitoring module is used for measuring and collecting sound signal parameters and pressure pulsation parameters in the running process of the gas turbine; the thermodynamic parameter monitoring module is used for measuring the temperature at the outlet of each gas path component and the real-time pressure data at the inlet and the outlet in the operation process of the gas turbine; the operation parameter monitoring module is used for measuring and collecting pressure and temperature of supplied water and supplied oil and carrying out real-time diagnosis and judgment; the comprehensive detection module is used for receiving, analyzing and processing various data acquired by the acoustic parameter monitoring module, the thermodynamic parameter monitoring module and the operation parameter monitoring module so as to obtain the real-time operation state of the gas turbine capable of backing up, classifying the operation state and sending the classified operation state to a server; and the real-time detection and diagnosis of the forward and reverse switching process of the gas turbine capable of reversing are realized. The purpose of detecting the running state of the gas turbine in real time can be achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of gas turbine detection, and in particular to a forward-reverse switching process detection system and method for a reversible gas turbine. Background Art

[0002] The maintenance of currently operating gas turbine units often relies on real-time monitoring of the gas path parameters of the components. When a fault occurs, it often takes a certain amount of time to reflect the abnormality of the gas path parameters. During this time window, the fault is still occurring and is difficult to be processed in real time. In other words, this operating state based on gas path parameters will inevitably have a certain lag in the detection process, resulting in a longer fault time, which brings certain obstacles to the subsequent remedial treatment.

[0003] Therefore, in the prior art, page 379 of the July 2023 issue of the journal "Energy Saving Technology" disclosed the "Abnormality Detection Method of Gas Turbine High-Temperature Components Based on LSTM Constant Mode Array". This method of real-time diagnosis and detection of component abnormalities based on gas path components can support real-time diagnosis of components, but it cannot further improve the real-time performance of detection and diagnosis. Summary of the invention

[0004] In view of the defects in the prior art, the present invention provides a forward-reverse switching process detection system and method for a reversible gas turbine.

[0005] According to a forward-reverse switching process detection system and method for a reversible gas turbine provided by the present invention, the scheme is as follows:

[0006] In a first aspect, a forward-reverse switching process detection system for a reversible gas turbine is provided, the system comprising:

[0007] Acoustic parameter monitoring module: measures and collects the sound signal parameters and pressure pulsation parameters during the operation of the gas turbine, and sends them to the comprehensive detection module;

[0008] Thermodynamic parameter monitoring module: measures the temperature at the outlet of each gas path component and the real-time pressure data of the inlet and outlet during the operation of the gas turbine, and sends it to the comprehensive detection module;

[0009] Operation parameter monitoring module: measures and collects the pressure and temperature of water supply and oil supply, makes real-time diagnosis and judgment, and sends normal data to the comprehensive detection module;

[0010] Comprehensive detection module: used to receive various data collected by the acoustic parameter monitoring module, the thermodynamic parameter monitoring module and the operating parameter monitoring module, and analyze and process them to obtain the real-time operating status of the reversible gas turbine, and classify the operating status to achieve real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

[0011] Preferably, the acoustic parameter monitoring module comprises: an outfield microphone array and an infield pressure pulsation measuring point;

[0012] The field microphone array is arranged close to each module of the gas turbine system, measures the sound signals generated by each module during the operation of the gas turbine, and then converts the received sound signals into corresponding electrical signals, and obtains the sound intensity change data through the analog-to-digital conversion device of the acquisition board;

[0013] The internal field pressure pulsation measuring point is set at the gas path connection of each component of the system, and is installed by drilling holes on the pipeline and welding the pressure-inducing pipe. The pressure pulsation data at the outlet and inlet of each gas path component during the operation of the gas turbine are measured, and the pressure pulsation parameters are obtained through the analog-to-digital conversion device of the acquisition board;

[0014] The sound intensity variation data and pressure pulsation parameters are sent to the comprehensive detection module.

[0015] Preferably, the thermodynamic parameter monitoring module includes: a thermocouple temperature measurement module, a pressure acquisition and transmission module and a PLC acquisition module;

[0016] The thermocouple temperature measurement module is installed at the gas path connection of each component of the system, and is installed by punching holes on the pipeline and welding a ferrule. It measures the temperature at the outlet of each gas path component in real time and converts it into an electrical signal and inputs it into the PLC acquisition module;

[0017] The pressure collection and transmission module is placed at the gas path connection of each component. It is installed by drilling holes in the pipeline and welding the pressure pipe, and the pressure pipe is connected to the pressure transmitter to receive and measure the real-time pressure data of the inlet and outlet of each gas path component during the operation of the gas turbine, and convert it into an electrical signal and input it into the PLC collection module;

[0018] The pressure data and temperature data are summarized by the PLC acquisition module and sent to the comprehensive detection module.

[0019] Preferably, the operating parameter monitoring module includes: a water supply monitoring module and a lubricating oil monitoring module;

[0020] The water supply monitoring module is installed at the cooling water connection of the system to measure and record the water supply pressure and the inlet and return water temperatures of the cooling water in real time;

[0021] The lubricating oil monitoring module is installed at the connection of the system lubricating oil pipe to measure and record the oil supply pressure and the oil inlet and return oil temperatures of the lubricating oil in real time;

[0022] After collecting the above data, real-time diagnosis is first performed to determine whether the oil supply pressure, water supply and overtemperature of each component are met according to the set thresholds. If not, an alarm is immediately issued; if met, the data is summarized and sent to the comprehensive detection module under normal operation.

[0023] Preferably, the comprehensive detection module includes:

[0024] By decomposing the acoustic parameters through wavelet transform and wavelet packet transform, the reconstructed signal is obtained to analyze its frequency domain information;

[0025] Then, the time domain information is extracted through variables including root mean square value, standard deviation, peak-to-peak value, crest factor and kurtosis; for thermodynamic data, theoretical operating data is obtained through simulation calculation, and the theoretical operating data is compared and judged with the actual data;

[0026] Based on the above signal data, the operating status of the reversible gas turbine is classified, so as to realize real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

[0027] In a second aspect, a method for detecting a forward-reverse switching process of a reversible gas turbine is provided, the method comprising:

[0028] Acoustic parameter monitoring step: measuring and collecting sound signal parameters and pressure pulsation parameters during the operation of the gas turbine, and sending them to the comprehensive detection step;

[0029] Thermodynamic parameter monitoring step: measuring the temperature at the outlet of each gas path component and the real-time pressure data of the inlet and outlet during the operation of the gas turbine, and sending them to the comprehensive detection step;

[0030] Operation parameter monitoring step: measure and collect the pressure and temperature of water supply and oil supply, make real-time diagnosis and judgment, and send normal data to the comprehensive detection step;

[0031] Comprehensive detection step: used to receive the various data collected by the acoustic parameter monitoring step, the thermodynamic parameter monitoring step and the operating parameter monitoring step, and analyze and process them to obtain the real-time operating status of the reversible gas turbine, and classify the operating status to achieve real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

[0032] Preferably, the acoustic parameter monitoring step includes: an outfield microphone array and an infield pressure pulsation measuring point;

[0033] The field microphone array is arranged close to each module of the gas turbine system, measures the sound signal generated by each module during the operation of the gas turbine, and then converts the received sound signal into a corresponding electrical signal, and obtains the sound intensity change data through the analog-to-digital conversion device of the acquisition board;

[0034] The internal field pressure pulsation measuring point is set at the gas path connection of each component of the system, and is installed by drilling holes on the pipeline and welding the pressure-inducing pipe. The pressure pulsation data at the outlet and inlet of each gas path component during the operation of the gas turbine are measured, and the pressure pulsation parameters are obtained through the analog-to-digital conversion device of the acquisition board;

[0035] The sound intensity variation data and pressure pulsation parameters are sent to the comprehensive detection step.

[0036] Preferably, the thermodynamic parameter monitoring step includes: a thermocouple temperature measurement step, a pressure acquisition and transmission step, and a PLC acquisition step;

[0037] The thermocouple temperature measurement step is to install the thermocouple at the gas path connection of each component of the system by punching holes in the pipeline and welding the ferrule to measure the temperature at the outlet of each gas path component in real time, and convert it into an electrical signal to input into the PLC acquisition step;

[0038] The pressure collection and transmission step is to be placed at the gas path connection of each component, and the pressure lead pipe is installed by drilling holes on the pipeline and welding it, and the pressure lead pipe is connected to the pressure transmitter to receive and measure the real-time pressure data of the inlet and outlet of each gas path component during the operation of the gas turbine, and convert it into an electrical signal and input it into the PLC collection step;

[0039] The pressure data and temperature data are aggregated in the PLC acquisition step and sent to the comprehensive detection step.

[0040] Preferably, the operation parameter monitoring step includes: a water supply monitoring step and a lubricating oil monitoring step;

[0041] The water supply monitoring step is installed at the cooling water connection of the system to measure and record the water supply pressure and the inlet and return water temperatures of the cooling water in real time;

[0042] The lubricating oil monitoring step is installed at the connection of the system lubricating oil pipe to measure and record the oil supply pressure and the oil inlet and return oil temperatures of the lubricating oil in real time;

[0043] After collecting the above data, real-time diagnosis is first performed to determine whether the oil supply pressure, water supply and overtemperature of each component are met according to the set thresholds. If not, an alarm is immediately issued; if met, the data is summarized and sent to the comprehensive detection step under normal operation.

[0044] Preferably, the comprehensive detection step comprises:

[0045] By decomposing the acoustic parameters through wavelet transform and wavelet packet transform, the reconstructed signal is obtained to analyze its frequency domain information;

[0046] Then, the time domain information is extracted through variables including root mean square value, standard deviation, peak-to-peak value, crest factor and kurtosis; for thermodynamic data, theoretical operating data is obtained through simulation calculation, and the theoretical operating data is compared and judged with the actual data;

[0047] Based on the above signal data, the operating status of the reversible gas turbine is classified, so as to realize real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

[0048] Compared with the prior art, the present invention has the following beneficial effects:

[0049] 1. The present invention improves the real-time performance of the acquisition of the operating data of the reversible gas turbine by collecting acoustic data, and at the same time adopts a non-intrusive collection method to obtain more internal state information of the gas turbine during operation, thereby achieving the purpose of real-time detection of the operating state of the gas turbine;

[0050] 2. The present invention extracts the time domain information from the collected pressure pulsation signal and the sound signal by adopting the algorithm of wavelet packet decomposition and reconstruction, and simultaneously analyzes the low-frequency and high-frequency regions of the signal, thereby achieving the effect of detecting and diagnosing the operation of the gas turbine through the aforementioned signals.

[0051] Other beneficial effects of the present invention will be explained in the specific implementation manner through the introduction of specific technical features and technical solutions. Through the introduction of these technical features and technical solutions, those skilled in the art should be able to understand the beneficial technical effects brought about by the technical features and technical solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0053] Figure 1 This is a schematic diagram of the structure of a reversible gas turbine. DETAILED DESCRIPTION

[0054] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0055] The embodiment of the present invention provides a forward-reverse switching process detection system for a reversible gas turbine. When the reversible gas turbine performs forward-reverse switching, the acoustic data and thermodynamic data collected by the sensor within a certain time window are processed and comprehensively judged in real time to achieve real-time detection of the switching process. Figure 1 The figure shows the schematic diagram of the structure of a reversible gas turbine, which specifically includes a compressor, a combustion chamber, a high-pressure turbine, a switching mechanism and a reversible power turbine. After being compressed by the compressor, the air enters the combustion chamber and undergoes high-temperature combustion. The generated high-temperature combustion gas expands and performs work through the high-pressure turbine, and the output power is used to drive the compressor. After that, the high-temperature combustion gas enters the reversible power turbine through the switching mechanism, expands and performs work, and the output power performs work externally, and is finally discharged through the exhaust duct. The reversible power turbine can rotate counterclockwise or clockwise (when facing the turbine inlet), which are defined as forward and reverse states respectively; during the operation of the reversible gas turbine, the reversible switching mechanism can be used for real-time switching from one state to another operating state.

[0056] The system specifically includes: an acoustic parameter monitoring module, a thermodynamic parameter monitoring module, an operation parameter monitoring module and a comprehensive detection module.

[0057] Among them, the acoustic parameter monitoring module measures and collects the sound signal parameters and pressure pulsation parameters during the operation of the gas turbine, and sends them to the comprehensive detection module.

[0058] Specifically, it includes an external microphone array and an internal pressure pulsation measuring point. The external microphone array is placed close to each module of the gas turbine system, including the compressor, combustion chamber, high-pressure turbine, switching mechanism and reversible power turbine, to receive and measure the sound signals generated by each module during the operation of the gas turbine, and then convert the received sound signals into corresponding electrical signals, and obtain the sound intensity change data through analog-to-digital conversion equipment such as acquisition boards; the internal pressure pulsation measuring point is placed at the gas path connection of each component, and is installed by drilling holes and welding pressure pipes on the pipeline, receiving and measuring the pressure pulsation data at the outlet and inlet of each gas path component during the operation of the gas turbine, and obtaining the pressure pulsation parameters through the analog-to-digital conversion of the acquisition board; the above two parameters are sent to the comprehensive detection module.

[0059] Thermodynamic parameter monitoring module: measures the temperature at the outlet of each gas path component and the real-time pressure data of the inlet and outlet during the operation of the gas turbine, and sends them to the comprehensive detection module.

[0060] Specifically, it includes a thermocouple temperature measurement system and a pressure acquisition and transmission system. The thermocouple temperature measurement system is installed at the gas circuit connection of each component. It is installed by punching holes and welding ferrules on the pipeline. It measures the temperature at the outlet of each gas circuit component in real time and converts it into an electrical signal and inputs it into the PLC acquisition system. The pressure acquisition and transmission system measurement point is placed at the gas circuit connection of each component. It is installed by punching holes and welding pressure pipes on the pipeline. The pressure pipes are connected to the pressure transmitter to receive and measure the real-time pressure data of the inlet and outlet of each gas circuit component during the operation of the gas turbine, and convert it into an electrical signal and input it into the PLC acquisition system; the pressure and temperature data are summarized by the PLC acquisition system and sent to the comprehensive detection module.

[0061] Operation parameter monitoring module: measures and collects the pressure and temperature of water supply and oil supply, performs real-time diagnosis and judgment, and sends normal data to the comprehensive detection module.

[0062] Specifically, it includes a water supply monitoring module and a lubricating oil monitoring module. The water supply monitoring module is installed at the system cooling water connection, and measures and records the cooling water supply pressure and the water inlet and return water temperatures in real time; the lubricating oil monitoring module is installed at the system lubricating oil pipe connection, and measures and records the lubricating oil supply pressure and the oil inlet and return oil temperatures in real time; after collecting the above data, the system first performs real-time diagnosis to determine whether the oil supply pressure, water supply volume and over-temperature of each component are met, and immediately alarms if not met; under normal operation, the data is aggregated and sent to the comprehensive detection module.

[0063] Comprehensive detection module: used to receive various data collected by the acoustic parameter monitoring module, the thermodynamic parameter monitoring module and the operating parameter monitoring module, and analyze and process them to obtain the real-time operating status of the reversible gas turbine, and classify the operating status to achieve real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

[0064] The reconstructed signal is obtained by decomposing the acoustic data through wavelet transform and wavelet packet transform to analyze its frequency domain information, and then its time domain information is extracted through variables such as root mean square value, standard deviation, peak-to-peak value, crest factor and kurtosis; the decomposition method is as follows:

[0065] Wavelet transform uses a family of wavelet functions to approximate the target function in the time domain. The family of wavelet functions is composed of functions generated by translating and scaling a wavelet basis function. The so-called wavelet basis function can be figuratively understood as a small fluctuation defined in the real domain, which takes a value of 0 in the large range of the real domain and only takes a non-zero value in a small interval.

[0066] The digital signals collected during operation need to be discretized. Here we introduce the binary discretization method. The binary discretization method refers to discretizing the scale factor of the above formula in octaves and maintaining the continuity of the translation factor. From the perspective of filtering, a wavelet function family is equivalent to a collection of multiple bandpass filters, and the quality factor Q (center frequency / bandwidth) of each wavelet function is the same. If the center frequency of the wavelet basis function is ω0 and the bandwidth is B W , then the center frequency of the time domain function is ω0 / 2 j , the bandwidth is: (2 -j+1 BW,2 -j+2 BW], it can be seen that with the change of the value, the bandwidth interval of each wavelet function can adjacently cover the positive half axis of the entire frequency axis, so a family of wavelet functions can be used as a set of orthogonal bases in the linear space.

[0067] In explaining that the wavelet function family is L 2 After obtaining a set of orthogonal bases in (R) space, the analysis problem can be transformed into an algebraic problem for processing, that is, the wavelet multi-resolution analysis of the signal can be realized. Using the wavelet multi-resolution analysis method, the original signal with a frequency range of 0 to 2000 Hz can be decomposed level by level with the center frequency of each layer as the boundary. Each level of decomposition can obtain the approximate coefficients (ca signals) and detail coefficients (cd signals) of each layer.

[0068] The root mean square value represents the energy of the signal, and its calculation formula is:

[0069]

[0070] Where N is the total number of data points collected during the sampling time; i is the data number; x is the signal value; x 2 (i) represents the square of the signal strength in the time domain;

[0071] The standard deviation reflects the dispersion of the data:

[0072]

[0073] Where N represents the total number of data points collected within the sampling time; x i Indicates the single-point time domain signal strength value; x mean Represents the mean value of the signal strength in the time domain;

[0074] The peak-to-peak value refers to the difference between the highest and lowest values ​​of the signal within a period, reflecting the range of the signal value. The kurtosis value mainly reflects the similarity between the signal and the normal distribution, and is related to the shape of the signal probability density image. Its value range is [1, +∞). The kurtosis value of data that completely obeys the normal distribution is 3. The larger the kurtosis value, the higher and sharper the probability density image. The kurtosis value calculation formula is:

[0075]

[0076] Where N represents the total number of data points collected within the sampling time; x i Indicates the single-point time domain signal strength value; x mean represents the mean of the time domain signal strength, and σ represents the standard deviation of the signal;

[0077] The peak index reflects the degree of deviation of the peak value in the signal relative to the effective value. If the peak index is large, it means that the signal may contain impact pulses. Its value is the ratio of the signal peak value to the standard deviation.

[0078] For thermodynamic data, theoretical operating data is obtained through simulation calculation, and compared with actual data. If the deviation between the measured data and the simulated data reaches more than 10%, it is considered to be in an abnormal state and further judgment is required through the aforementioned acoustic signal processing method. The simulation method is as follows:

[0079] The basis of gas turbine simulation calculation is the performance and balance conditions of each component. The main balance equations are the following four: Pressure ratio balance equation:

[0080] π HT π PT =π C ε in ε comb ε ex ,

[0081] In the formula, π C is the compressor pressure ratio, π HT , π PT are the expansion ratios of the high-pressure turbine and the reversible power turbine, ε in , ε comb and ε ex are the pressure recovery coefficients of the intake duct, combustion chamber, and exhaust duct, respectively;

[0082] Speed ​​balance equation:

[0083] n HT =n C 、n PT =n Load ,

[0084] Where n C 、n HT 、n PT 、n Load are the speed values ​​of the compressor, high-pressure turbine, power turbine and load respectively; the flow balance equation is:

[0085]

[0086] In the formula, and They are compressor flow, fuel flow and turbine flow respectively; in addition, considering the possible leakage during actual operation, ε l is the leakage loss coefficient.

[0087] Power balance equation:

[0088] Pow C =Pow HT ·η m1 , P o w Load =Pow PT ·η m2

[0089] In the above formula, Pow HT and Pow PT is the output power of the high-pressure turbine and the reversible power turbine, and Pow C and Pow Load are the power consumed by the compressor and the load respectively, η m1 and η m2 It is the mechanical efficiency.

[0090] The compressor is a mechanical device that transmits mechanical energy to the gas and completes the gas working medium compression process in the engine's thermal cycle to increase the gas pressure. It is an important component of the gas turbine. The working characteristics of the compressor are mainly determined by the relationship between the four main parameters of compression ratio, reduced speed, reduced flow rate and efficiency. As long as any two of the parameters are determined, the state of the compressor can be determined. Auxiliary lines are added to the original characteristic curve, and together with the equal reduced speed lines, the central area of ​​the entire compressor (the operating zone of the gas turbine is within this area) is divided into multiple small blocks, and the node data formed by the intersection of the auxiliary lines and the equal speed lines are compiled into a table, which is saved as arrays such as auxiliary lines, reduced speed, compression ratio, reduced flow rate and efficiency.

[0091] When calculating the performance parameters of the compressor, if the compressor pressure ratio and reduced speed are known, binary interpolation can be used to first find the constant speed line of the compressor at the given reduced speed from the given reduced speed, and then the reduced flow and efficiency at the intersection of the constant speed line and the auxiliary line can be obtained, thus obtaining the functional relationship between the reduced flow and pressure ratio, and between the efficiency and pressure ratio; then, the corresponding reduced flow and efficiency values ​​can be obtained by using the given pressure ratio to perform univariate interpolation on the pressure ratio-reduced flow and pressure ratio-efficiency relationships obtained above.

[0092] A conventional combustion chamber is a device that mixes the high-pressure gas from the compressor with the fuel and burns it. The function of the combustion chamber is to convert the chemical energy of the fuel into thermal energy, greatly increasing the temperature of the gas. The high-temperature, high-pressure gas flowing out of the combustion chamber has very high energy (thermal energy and potential energy), which is used to enter the turbine and power turbine for expansion and work. The combustion chamber is simplified as an energy input link, and the energy balance calculation is performed based on the fuel-air ratio, fuel flow rate and air flow rate, so that the parameters such as the combustion chamber outlet gas temperature and total flow rate can be obtained.

[0093] The main function of the turbine is to convert most of the energy of the high-temperature, high-pressure gas flowing out of the combustion chamber into mechanical energy, so that the turbine rotates at high speed and generates large power, and the turbine shaft output drives the compressor. The function of the power turbine is the same as that of the turbine, and the power turbine shaft power output drives the load. The thermal parameters in the turbine can be obtained using a similar method in the compressor module. The general characteristic curve of the turbine is composed of a flow characteristic curve and an efficiency characteristic curve. Although the shape of its curve is different from that of the compressor, the processing method is the same as that of the compressor, that is, linear interpolation is used to obtain the flow and efficiency.

[0094] The reversible turbine switching mechanism is located between the high-pressure turbine and the reversible power turbine, and is used to distribute the combustion gas at the outlet of the high-pressure turbine to different flow channels of the reversible power turbine.

[0095] Based on the above balance equations and the mathematical models of various components, a simulation model of a reversible gas turbine can be established.

[0096] Based on the above signal data, the operating state of the reversible gas turbine can be classified, and whether the operation is abnormal can be judged based on thermodynamic parameters, and the real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine can be realized based on the processing of acoustic parameters. The forward and reverse switching process here refers to the process of converting from the aforementioned forward or reverse operating state to another state: the reversible power turbine is switched to a different rotation direction through the process of speed reduction, hovering (speed reduction to 0), and reverse speed increase through the adjustment of the switching mechanism.

[0097] The present invention also provides a method for detecting a forward-reverse switching process of a reversible gas turbine, the method comprising:

[0098] Acoustic parameter monitoring step: measure and collect the sound signal parameters and pressure pulsation parameters during the operation of the gas turbine, and send them to the comprehensive detection step.

[0099] Specifically, it includes an external microphone array and an internal pressure pulsation measuring point. The external microphone array is placed close to each module of the gas turbine system, including the compressor, combustion chamber, high-pressure turbine, switching mechanism and reversible turbine, to receive and measure the sound signals generated by each module during the operation of the gas turbine, and then convert the received sound signals into corresponding electrical signals, and obtain the sound intensity change data through analog-to-digital conversion equipment such as acquisition boards; the internal pressure pulsation measuring point is placed at the gas path connection of each component, and is installed by drilling holes on the pipeline and welding the pressure pipe, receiving and measuring the pressure pulsation data at the outlet and inlet of each gas path component during the operation of the gas turbine, and obtaining the pressure pulsation parameters through the analog-to-digital conversion of the acquisition board; the above two parameters are sent to the comprehensive detection step.

[0100] Thermodynamic parameter monitoring step: Measure the temperature at the outlet of each gas path component and the real-time pressure data of the inlet and outlet during the operation of the gas turbine, and send them to the comprehensive detection step.

[0101] Specifically, it includes a thermocouple temperature measurement step and a pressure acquisition and transmission step. The thermocouple temperature measurement system is installed at the gas circuit connection of each component. It is installed by punching holes and welding ferrules on the pipeline to measure the temperature at the outlet of each gas circuit component in real time, and convert it into an electrical signal and input it into the PLC acquisition system. The pressure acquisition and transmission system measurement point is placed at the gas circuit connection of each component. It is installed by punching holes and welding pressure pipes on the pipeline, and the pressure pipes are connected to the pressure transmitter. The real-time pressure data of the inlet and outlet of each gas circuit component during the operation of the gas turbine is received and measured, and it is converted into an electrical signal and input into the PLC acquisition system; the pressure and temperature data are summarized by the PLC acquisition system and sent to the comprehensive detection step.

[0102] Operation parameter monitoring step: measure and collect the pressure and temperature of water supply and oil supply, make real-time diagnosis and judgment, and send normal data to the comprehensive detection step.

[0103] Specifically, it includes a water supply monitoring step and a lubricating oil monitoring step. The water supply monitoring step is installed at the system cooling water connection, and measures and records the cooling water supply pressure and the water inlet and return water temperatures in real time; the lubricating oil monitoring step is installed at the system lubricating oil pipe connection, and measures and records the lubricating oil supply pressure and the oil inlet and return oil temperatures in real time; after collecting the above data, the system first performs real-time diagnosis to determine whether the oil supply pressure, water supply volume and over-temperature of each component are met, and immediately alarms if they are not met; under normal operation, the data is aggregated and sent to the comprehensive detection step.

[0104] Comprehensive detection step: for receiving various data collected by the acoustic parameter monitoring unit, the thermodynamic parameter monitoring unit and the operation parameter monitoring unit, and analyzing and processing them to obtain the real-time operation status of the reversible gas turbine;

[0105] The acoustic parameters are decomposed by wavelet transform and wavelet packet transform to obtain the reconstructed signal to analyze its frequency domain information, and then its time domain information is extracted through variables such as root mean square value, standard deviation, peak-to-peak value, crest factor and kurtosis; for thermodynamic data, theoretical operating data is obtained through simulation calculation, and compared with actual data;

[0106] Based on the above signal data, the operating status of the reversible gas turbine can be classified, and real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine can be achieved.

[0107] The embodiment of the present invention provides a forward and reverse switching process detection system and method for a reversible gas turbine. By adopting the collection of acoustic data, the real-time acquisition of the operating data of the reversible gas turbine is improved. At the same time, a non-intrusive collection method is adopted to obtain more internal state information during the operation of the gas turbine, thereby achieving the purpose of real-time detection of the operating state of the gas turbine. By adopting the algorithm of wavelet packet decomposition and reconstruction, the time domain information in the collected pressure pulsation signal and the sound signal is extracted, and the low-frequency area and high-frequency area of ​​the signal are analyzed at the same time, thereby achieving the effect of detecting and diagnosing the operation of the gas turbine through the aforementioned signal.

[0108] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0109] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A forward and reverse switching process detection system for a reversible gas turbine, characterized in that: include: Acoustic parameter monitoring module: measures and collects the sound signal parameters and pressure pulsation parameters during the operation of the gas turbine, and sends them to the comprehensive detection module; Thermodynamic parameter monitoring module: measures the temperature at the outlet of each gas path component and the real-time pressure data of the inlet and outlet during the operation of the gas turbine, and sends it to the comprehensive detection module; Operation parameter monitoring module: measures and collects the pressure and temperature of water supply and oil supply, makes real-time diagnosis and judgment, and sends normal data to the comprehensive detection module; Comprehensive detection module: used to receive various data collected by the acoustic parameter monitoring module, the thermodynamic parameter monitoring module and the operating parameter monitoring module, and analyze and process them to obtain the real-time operating status of the reversible gas turbine, and classify the operating status to achieve real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

2. The forward and reverse switching process detection system of a reversible gas turbine according to claim 1 is characterized in that: The acoustic parameter monitoring module includes: an outfield microphone array and an infield pressure pulsation measuring point; The field microphone array is arranged close to each module of the gas turbine system, measures the sound signals generated by each module during the operation of the gas turbine, and then converts the received sound signals into corresponding electrical signals, and obtains the sound intensity change data through the analog-to-digital conversion device of the acquisition board; The internal field pressure pulsation measuring point is set at the gas path connection of each component of the system, and is installed by drilling holes on the pipeline and welding the pressure-inducing pipe. The pressure pulsation data at the outlet and inlet of each gas path component during the operation of the gas turbine are measured, and the pressure pulsation parameters are obtained through the analog-to-digital conversion device of the acquisition board; The sound intensity variation data and pressure pulsation parameters are sent to the comprehensive detection module.

3. The forward and reverse switching process detection system of a reversible gas turbine according to claim 1 is characterized in that: The thermodynamic parameter monitoring module includes: a thermocouple temperature measurement module, a pressure acquisition and transmission module and a PLC acquisition module; The thermocouple temperature measurement module is installed at the gas path connection of each component of the system, and is installed by punching holes on the pipeline and welding a ferrule. It measures the temperature at the outlet of each gas path component in real time and converts it into an electrical signal and inputs it into the PLC acquisition module; The pressure collection and transmission module is placed at the gas path connection of each component. It is installed by drilling holes in the pipeline and welding the pressure pipe, and the pressure pipe is connected to the pressure transmitter to receive and measure the real-time pressure data of the inlet and outlet of each gas path component during the operation of the gas turbine, and convert it into an electrical signal and input it into the PLC collection module; The pressure data and temperature data are summarized by the PLC acquisition module and sent to the comprehensive detection module.

4. The forward and reverse switching process detection system of a reversible gas turbine according to claim 1, characterized in that: The operating parameter monitoring module includes: a water supply monitoring module and a lubricating oil monitoring module; The water supply monitoring module is installed at the cooling water connection of the system to measure and record the water supply pressure and the inlet and return water temperatures of the cooling water in real time; The lubricating oil monitoring module is installed at the connection of the system lubricating oil pipe to measure and record the oil supply pressure and the oil inlet and return oil temperatures of the lubricating oil in real time; After collecting the above data, real-time diagnosis is first performed to determine whether the oil supply pressure, water supply and overtemperature of each component are met according to the set thresholds. If not, an alarm is immediately issued; if met, the data is summarized and sent to the comprehensive detection module under normal operation.

5. The forward and reverse switching process detection system of a reversible gas turbine according to claim 1, characterized in that: The comprehensive detection module comprises: By decomposing the acoustic parameters through wavelet transform and wavelet packet transform, the reconstructed signal is obtained to analyze its frequency domain information; Then, the time domain information is extracted through variables including root mean square value, standard deviation, peak-to-peak value, crest factor and kurtosis; for thermodynamic data, theoretical operating data is obtained through simulation calculation, and the theoretical operating data is compared and judged with the actual data; Based on the above signal data, the operating status of the reversible gas turbine is classified, so as to realize real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

6. A method for detecting the forward-reverse switching process of a reversible gas turbine, based on the forward-reverse switching process detection system of a reversible gas turbine according to any one of claims 1 to 5, characterized in that: include: Acoustic parameter monitoring step: measuring and collecting sound signal parameters and pressure pulsation parameters during the operation of the gas turbine, and sending them to the comprehensive detection step; Thermodynamic parameter monitoring step: measuring the temperature at the outlet of each gas path component and the real-time pressure data of the inlet and outlet during the operation of the gas turbine, and sending them to the comprehensive detection step; Operation parameter monitoring step: measure and collect the pressure and temperature of water supply and oil supply, make real-time diagnosis and judgment, and send normal data to the comprehensive detection step; Comprehensive detection step: used to receive the various data collected by the acoustic parameter monitoring step, the thermodynamic parameter monitoring step and the operating parameter monitoring step, and analyze and process them to obtain the real-time operating status of the reversible gas turbine, and classify the operating status to achieve real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

7. The forward-reverse switching process detection method of a reversible gas turbine according to claim 6 is characterized in that: The acoustic parameter monitoring step includes: an external field microphone array and an internal field pressure pulsation measurement point; The field microphone array is arranged close to each module of the gas turbine system, measures the sound signal generated by each module during the operation of the gas turbine, and then converts the received sound signal into a corresponding electrical signal, and obtains the sound intensity change data through the analog-to-digital conversion device of the acquisition board; The internal field pressure pulsation measuring point is set at the gas path connection of each component of the system, and is installed by drilling holes on the pipeline and welding the pressure-inducing pipe. The pressure pulsation data at the outlet and inlet of each gas path component during the operation of the gas turbine are measured, and the pressure pulsation parameters are obtained through the analog-to-digital conversion device of the acquisition board; The sound intensity variation data and pressure pulsation parameters are sent to the comprehensive detection step.

8. The forward-reverse switching process detection method of a reversible gas turbine according to claim 6, characterized in that: The thermodynamic parameter monitoring step includes: a thermocouple temperature measurement step, a pressure collection and transmission step, and a PLC collection step; The thermocouple temperature measurement step is to install the thermocouple at the gas path connection of each component of the system by punching holes in the pipeline and welding the ferrule to measure the temperature at the outlet of each gas path component in real time, and convert it into an electrical signal to input into the PLC acquisition step; The pressure collection and transmission step is to be placed at the gas path connection of each component, and the pressure lead pipe is installed by drilling holes on the pipeline and welding it, and the pressure lead pipe is connected to the pressure transmitter to receive and measure the real-time pressure data of the inlet and outlet of each gas path component during the operation of the gas turbine, and convert it into an electrical signal and input it into the PLC collection step; The pressure data and temperature data are aggregated in the PLC acquisition step and sent to the comprehensive detection step.

9. The forward-reverse switching process detection method of a reversible gas turbine according to claim 6, characterized in that: The operation parameter monitoring step includes: a water supply monitoring step and a lubricating oil monitoring step; The water supply monitoring step is installed at the cooling water connection of the system to measure and record the water supply pressure and the inlet and return water temperatures of the cooling water in real time; The lubricating oil monitoring step is installed at the connection of the system lubricating oil pipe to measure and record the oil supply pressure and the oil inlet and return oil temperatures of the lubricating oil in real time; After collecting the above data, real-time diagnosis is first performed to determine whether the oil supply pressure, water supply and overtemperature of each component are met according to the set thresholds. If not, an alarm is immediately issued; if met, the data is summarized and sent to the comprehensive detection step under normal operation.

10. The forward-reverse switching process detection method of a reversible gas turbine according to claim 6, characterized in that: The comprehensive detection step comprises: By decomposing the acoustic parameters through wavelet transform and wavelet packet transform, the reconstructed signal is obtained to analyze its frequency domain information; Then, the time domain information is extracted through variables including root mean square value, standard deviation, peak-to-peak value, crest factor and kurtosis; for thermodynamic data, theoretical operating data is obtained through simulation calculation, and the theoretical operating data is compared and judged with the actual data; Based on the above signal data, the operating status of the reversible gas turbine is classified, so as to realize real-time detection and diagnosis of the forward and reverse switching process of the reversible gas turbine.

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