CN117930762A - Method for monitoring correlation of operation parameters of water electrolysis hydrogen production system and analyzing faults - Google Patents
Method for monitoring correlation of operation parameters of water electrolysis hydrogen production system and analyzing faults Download PDFInfo
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- 239000001257 hydrogen Substances 0.000 title claims abstract description 162
- 229910052739 hydrogen Inorganic materials 0.000 title claims abstract description 162
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 title claims abstract description 139
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 85
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 76
- 238000005868 electrolysis reaction Methods 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 title claims abstract description 43
- 238000012544 monitoring process Methods 0.000 title claims abstract description 31
- 238000010219 correlation analysis Methods 0.000 claims abstract description 51
- 230000000737 periodic effect Effects 0.000 claims abstract description 19
- 238000012423 maintenance Methods 0.000 claims abstract description 14
- 238000009472 formulation Methods 0.000 claims abstract description 6
- 239000000203 mixture Substances 0.000 claims abstract description 6
- 239000001301 oxygen Substances 0.000 claims description 70
- 229910052760 oxygen Inorganic materials 0.000 claims description 70
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 62
- 239000007788 liquid Substances 0.000 claims description 28
- 150000002431 hydrogen Chemical class 0.000 claims description 23
- 238000004458 analytical method Methods 0.000 claims description 17
- 238000005070 sampling Methods 0.000 claims description 13
- 230000008569 process Effects 0.000 claims description 11
- 239000007789 gas Substances 0.000 claims description 9
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- 238000012795 verification Methods 0.000 claims description 2
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Abstract
The invention discloses a method for monitoring the operational parameter correlation and analyzing faults of a water electrolysis hydrogen production system, which comprises the following steps: constructing state control and monitoring points of the water electrolysis hydrogen production system, and acquiring various operation parameters in the water electrolysis hydrogen production system; through carrying out time domain and frequency domain correlation analysis on each operation parameter in the water electrolysis hydrogen production system, the association relation between each state data is found, and a correlation analysis result is output, so that the operation state of each device in the system is represented, and a basis is provided for control and operation and maintenance strategy formulation. The fault diagnosis efficiency in the operation of the electrolytic water hydrogen production system is improved. The method can rapidly discover influencing factors of the abnormal fluctuation or abnormal periodic fluctuation of key parameters in the system operation, and help operation and maintenance personnel to find out fault points of maintenance.
Description
Technical Field
The invention belongs to the technical field of water electrolysis hydrogen production, and particularly relates to a method for monitoring the correlation of operation parameters and analyzing faults of a water electrolysis hydrogen production system.
Background
The principle of preparing hydrogen by electrolyzing water is simple, the purity of the finished hydrogen is high, the hydrogen is clean and pollution-free, and the hydrogen is taken as a main mode of green hydrogen production, and is a key path for realizing decarburization in the petrochemical industry. The water electrolysis hydrogen production system usually adopts a PLC control system to control the voltage, current, temperature, flow, pressure and liquid level in the electrolysis process, and monitors the water quality and the gas production purity. However, in operation of the water electrolysis hydrogen production system, the performance is influenced by multiple factors, if the operation parameters are poorly controlled, the performance of the electrolytic tank is easy to be attenuated, the hydrogen production efficiency is low, and even the explosion risk of hydrogen-oxygen channeling is brought.
At present, the state monitoring field of the water electrolysis hydrogen production system is less in research, control parameters are determined according to empirical values, each single control quantity is stabilized in an empirical range to serve as a main control target, and the water electrolysis hydrogen production system is aimed at an alkaline water electrolysis hydrogen production system, and a proton exchange membrane water electrolysis hydrogen production system is rarely aimed at. The electrolytic hydrogen production system has a complex installation structure, is not easy to disassemble and detect during operation, and is difficult to accurately position faults by virtue of experience of operation and maintenance personnel.
Disclosure of Invention
The invention aims at: in order to overcome the problems in the prior art, the method for monitoring the correlation of the operation parameters of the water electrolysis hydrogen production system and analyzing faults is disclosed, the correlation between state data is mined by analyzing the correlation of time domain and frequency domain of the operation state parameters, a correlation analysis result is output, the operation state of equipment is represented, and a basis is provided for control and operation and maintenance strategy formulation.
The aim of the invention is achieved by the following technical scheme:
The method for monitoring the operational parameter correlation and analyzing the faults of the water electrolysis hydrogen production system comprises the following steps:
Constructing state control and monitoring points of the water electrolysis hydrogen production system, and acquiring various operation parameters in the water electrolysis hydrogen production system;
Through carrying out time domain and frequency domain correlation analysis on each operation parameter in the water electrolysis hydrogen production system, the association relation between each state data is found, and a correlation analysis result is output, so that the operation state of each device in the system is represented, and a basis is provided for control and operation and maintenance strategy formulation.
According to a preferred embodiment, the time domain correlation analysis of the operating parameters comprises:
Reading an operation parameter record file for a period of time, wherein N pieces of collected data are stored in a separated mode, and the data record length is recorded as M;
the method comprises the steps of reading N pieces of acquired data in columns, setting sampling intervals according to requirements in the reading process, and creating a two-dimensional array N x M of original data;
The method comprises the steps of selecting an np.corrcoef function in an extended library NumPy in a python programming language to calculate correlation, wherein a function return value is an N x N correlation coefficient matrix, each element r [ i ] [ j ] in the matrix represents a pearson correlation coefficient of the ith group of data and the jth group of data, the value range of the coefficient is between-1 and 1, wherein-1 represents complete negative correlation, 1 represents complete positive correlation, and 0 represents no correlation;
And creating a result storage array r A_B、rA_C……rB_C、rB_D … … of the inter-variable correlation analysis, extracting the results in the correlation matrix, and storing the results in the result storage array.
According to a preferred embodiment, the time domain correlation analysis of the operating parameters further comprises:
And screening the obtained correlation data according to the extremely strong positive correlation [0.8,1], the strong positive correlation [0.6,0.8 ], the medium-level positive correlation [0.4,0.6 ], the extremely strong negative correlation [ -1, -0.8], the strong negative correlation (-0.8, -0.6) and the medium-level negative correlation (-0.6, -0.4], so as to obtain the association relation among all the operation parameters.
According to a preferred embodiment, the time domain correlation analysis of the operating parameters further comprises: before correlation calculation, the data collected by each detector is filtered to remove interference noise suffered by the signals.
According to a preferred embodiment, the frequency domain correlation analysis of the operating parameter is performed as a frequency domain correlation analysis of a periodic operating parameter.
According to a preferred embodiment, the frequency domain correlation analysis of the periodic operating parameters comprises:
firstly, selecting a corresponding period of an analysis working condition, and determining signal data to be analyzed, wherein the signal data to be analyzed comprises 1 object signal and a plurality of factor signals, and the factor signals are determined by time domain correlation analysis;
Secondly, determining a sampling interval sample_interval=time interval for monitoring data record of a signal to be analyzed, sampling frequency sample_freq=1/sample_interval, signal length signal_len=length of processing data (namely sampling interval sample_interval sampling point number N), and performing fast Fourier transform on each signal;
extracting frequency components of each signal, namely, frequencies corresponding to the sequences from large to small of amplitude values in a single-side frequency spectrum, determining the number of the frequency components according to the fineness of actual analysis, searching for the consistent frequency of a factor signal and a target signal, and carrying out inverse Fourier transform on the target signal by using the screened consistent frequency sequence;
And calculating the energy ratio of the object reconstruction signal obtained by inverse transformation to the original object signal and the amplitude fluctuation range caused by the consistent frequency sequence, utilizing the energy ratio and the amplitude fluctuation range to represent the influence degree of each factor signal on the object signal, taking the energy ratio as priority, and taking the amplitude fluctuation as auxiliary factor signal to order the influence degree of the object signal as a frequency domain correlation analysis result.
According to a preferred embodiment, the frequency domain correlation analysis process for the operating parameters further comprises:
And determining the similarity degree of the frequency components of the object signal and the factor signal by calculating the Wasserstein distance of the main frequency components of each signal, and using the similarity degree as a verification index or a rapid calculation index of the frequency correlation.
According to a preferred embodiment, the various operating parameters within the hydro-electrolytic hydrogen production system include: temperature parameters, liquid level control parameters, water supply control parameters, pressure control parameters, power supply control parameters and gas production performance parameters;
Wherein the temperature parameters include: an electrolyzer inlet temperature, a hydrogen side temperature, an oxygen side temperature, and an oxyhydrogen side temperature difference;
the liquid level control parameters include: hydrogen side separator liquid level, oxygen side separator liquid level, hydrogen-oxygen side liquid level difference;
The water supply control parameters include: conductivity, circulating raw material water flow;
the pressure control parameters include: electrolyzer inlet pressure, hydrogen side pressure, oxygen side pressure, hydrogen-oxygen side pressure difference;
The power supply control parameters include: cell current, cell voltage;
The gas production performance parameters comprise the content of hydrogen in oxygen, the content of oxygen in hydrogen, the purity of hydrogen and the humidity of hydrogen.
According to a preferred embodiment, the water electrolysis hydrogen production system at least comprises a water pump, an electrolytic tank, a hydrogen separator and an oxygen separator, wherein the water pump is connected with the electrolytic tank and is used for inputting raw water into the electrolytic tank; the hydrogen separator and the oxygen separator are respectively connected with the electrolytic tank to respectively collect hydrogen and oxygen generated by electrolysis.
According to a preferred embodiment, the circulating raw material water flow, the conductivity, the electrolyzer inlet temperature and the electrolyzer inlet pressure are obtained by a circulating raw material water flow detector, a conductivity detector, an electrolyzer inlet temperature detector and an electrolyzer inlet pressure detector respectively arranged on a pipeline between a water pump and an electrolyzer;
The cell voltage and the cell current are respectively measured by a cell voltage detector and a cell current detector;
the hydrogen side temperature and the oxygen side temperature are respectively measured by a hydrogen side temperature detector and an oxygen side temperature detector on a hydrogen outlet pipeline and an oxygen outlet pipeline of the electrolytic cell;
The hydrogen side pressure, the liquid level of the hydrogen side separator, the oxygen content in hydrogen, the hydrogen humidity and the hydrogen purity are measured by a hydrogen side pressure detector, a hydrogen side separator liquid level detector, a hydrogen oxygen content detector (18) on an outlet pipeline of the hydrogen separator, a hydrogen humidity detector and a hydrogen purity detector in the hydrogen separator;
The oxygen side pressure, the liquid level of the oxygen side separator and the hydrogen content in oxygen are measured by an oxygen side pressure detector, an oxygen side separator liquid level detector and an oxygen hydrogen content detector on an outlet pipeline of the oxygen separator.
The correlation analysis method is flexible in application mode, can be used as an independent data processing program for offline analysis processing after the operation data are manually led out, and can be used for displaying analysis results by leading out an analysis result record table or writing a graphical interface; or the information interaction is carried out with a monitoring platform of an upper computer of the control system, a script is written and exported through writing data records, an analysis period is set at an interface of the upper computer, the upper computer accesses the PLC operation data record file on line, and an analysis result is output at the upper computer; or by calling a correlation analysis programming language expansion library, such as a Modbus expansion library pymodbus of Python, establishing connection between the Python and the PLC, reading PLC data, analyzing the correlation on line in real time, writing the result into the PLC, and transmitting the result to an upper computer; the upper computer interface gives a time domain correlation relationship which is important to be focused to a medium degree and above and a frequency domain correlation relationship of periodic data, so that operation and maintenance personnel can check and help to determine abnormal and fault points or formulate a control optimization strategy, or the result can be further applied to subsequent predictive control.
The foregoing inventive concepts and various further alternatives thereof may be freely combined to form multiple concepts, all of which are contemplated and claimed herein. Various combinations will be apparent to those skilled in the art from a review of the present disclosure, and are not intended to be exhaustive or all of the present disclosure.
The invention has the beneficial effects that:
the invention relates to a method for monitoring the correlation of the operation parameters of a water electrolysis hydrogen production system and analyzing faults, which is used as a means for representing the state of the water electrolysis system and provides a basis for controlling quantity adjustment and fault diagnosis of the complex operation system of water electrolysis hydrogen production.
Through correlation analysis of time domains and frequency domains of each operation parameter, in the hydrogen production process influenced by multiple factors, the operation parameters can be adjusted according to correlation analysis conclusion, so that the system achieves a better operation state; the correlation analysis conclusion can also be used as input data of some important performance predictions to train and predict the system.
The fault diagnosis efficiency in the operation of the electrolytic water hydrogen production system is improved. The method can rapidly discover influencing factors of the abnormal fluctuation or abnormal periodic fluctuation of key parameters in the system operation, and help operation and maintenance personnel to find out fault points of maintenance.
Drawings
FIG. 1 is a schematic diagram of a state control and monitoring point constructed by the water electrolysis hydrogen production system of the invention;
FIG. 2 is a flow chart of a time domain correlation analysis of operational data in the method of the present invention;
FIG. 3 is a flow chart of a frequency domain correlation analysis of a periodic signal and its influencing factors in the method of the present invention;
fig. 4 shows an example of the manner of operation and the results of the correlation analysis method.
Detailed Description
Other advantages and effects of the present invention will become apparent to those skilled in the art from the following disclosure, which describes the embodiments of the present invention with reference to specific examples. The invention may be practiced or carried out in other embodiments that depart from the specific details, and the details of the present description may be modified or varied from the spirit and scope of the present invention. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present invention, it should be noted that, directions or positional relationships indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., are directions or positional relationships based on those shown in the drawings, or are directions or positional relationships conventionally put in use of the inventive product, are merely for convenience of describing the present invention and simplifying the description, and are not indicative or implying that the apparatus or element to be referred to must have a specific direction, be constructed and operated in a specific direction, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
Furthermore, the terms "horizontal," "vertical," "overhang," and the like do not denote a requirement that the component be absolutely horizontal or overhang, but rather may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
In addition, in the present invention, if a specific structure, connection relationship, position relationship, power source relationship, etc. are not specifically written, the structure, connection relationship, position relationship, power source relationship, etc. related to the present invention can be known by those skilled in the art without any creative effort.
Referring to fig. 1 to 3, the invention discloses a method for monitoring the operational parameter correlation and analyzing faults of a water electrolysis hydrogen production system, which comprises the following steps: constructing state control and monitoring points of the water electrolysis hydrogen production system, and acquiring various operation parameters in the water electrolysis hydrogen production system; through carrying out time domain and frequency domain correlation analysis on each operation parameter in the water electrolysis hydrogen production system, the association relation between each state data is found, and a correlation analysis result is output, so that the operation state of each device in the system is represented, and a basis is provided for control and operation and maintenance strategy formulation.
Preferably, the various operating parameters within the hydro-electrolytic hydrogen production system include: temperature parameters, liquid level control parameters, water supply control parameters, pressure control parameters, power supply control parameters and gas production performance parameters; wherein the temperature parameters include: an electrolyzer inlet temperature, a hydrogen side temperature, an oxygen side temperature, and an oxyhydrogen side temperature difference; the liquid level control parameters include: hydrogen side separator liquid level, oxygen side separator liquid level, hydrogen-oxygen side liquid level difference; the water supply control parameters include: conductivity, circulating raw material water flow; the pressure control parameters include: electrolyzer inlet pressure, hydrogen side pressure, oxygen side pressure, hydrogen-oxygen side pressure difference; the power supply control parameters include: cell current, cell voltage; the gas production performance parameters comprise the content of hydrogen in oxygen, the content of oxygen in hydrogen, the purity of hydrogen and the humidity of hydrogen.
Further, the water electrolysis hydrogen production system at least comprises a water pump 16, an electrolytic tank 7, a hydrogen separator 10 and an oxygen separator 13. Wherein, the water pump 16 is connected with the electrolytic tank 7 and is used for inputting raw water into the electrolytic tank 7; the hydrogen separator 10 and the oxygen separator 13 are respectively connected with the electrolytic tank 7 to respectively collect hydrogen and oxygen generated by electrolysis.
Wherein, the circulating raw material water flow, the conductivity, the electrolyzer inlet temperature and the electrolyzer inlet pressure are respectively obtained by a circulating raw material water flow detector 1, a conductivity detector 2, an electrolyzer inlet temperature detector 3 and an electrolyzer inlet pressure detector 4 which are arranged on a pipeline between a water pump 16 and an electrolyzer 7.
The cell voltage and cell current are measured by a cell voltage detector 8 and a cell current detector 9, respectively.
The hydrogen side temperature and the oxygen side temperature are respectively measured by a hydrogen side temperature detector 6 and an oxygen side temperature detector 5 on a hydrogen outlet pipeline and an oxygen outlet pipeline of the electrolytic tank 7.
The hydrogen side pressure, the liquid level of the hydrogen side separator, the oxygen content in hydrogen, the hydrogen humidity and the hydrogen purity are measured by a hydrogen side pressure detector 11, a hydrogen side separator liquid level detector 12 and a hydrogen oxygen content detector 18, a hydrogen humidity detector 19 and a hydrogen purity detector 20 on an outlet pipeline of the hydrogen separator in the hydrogen separator 10.
The oxygen side pressure, the oxygen side separator liquid level and the hydrogen content in oxygen are measured by an oxygen side pressure detector 14 in the hydrogen separator 13 and an oxygen side separator liquid level detector (1 and a hydrogen content detector 21 in the oxygen on the outlet pipeline of the oxygen separator)
Preferably, the time domain correlation analysis process for the operation parameters includes:
The correlation is represented by a pearson correlation coefficient r, and before correlation calculation, necessary filtering is carried out on the acquired data of each sensor, so that interference noise borne by signals is removed to a certain extent, and a more accurate correlation is obtained.
And reading an operation parameter record file for a period of time, wherein N pieces of collected data are stored in a separated mode, and the data record length is recorded as M.
And (3) reading N pieces of acquired data in columns, setting sampling intervals according to requirements in the reading process, and creating a two-dimensional array N x M of the original data.
The relevance is calculated by using an np.corrcoef function in an extended library NumPy in the python programming language, the function return value is an N x N correlation coefficient matrix, wherein each element r [ i ] [ j ] in the matrix represents a pearson correlation coefficient of the ith group of data and the jth group of data, the value of the coefficient ranges from-1 to 1, wherein-1 represents a complete negative correlation, 1 represents a complete positive correlation, and 0 represents no correlation.
And creating a result storage array r A_B、rA_C……rB_C、rB_D … … of the inter-variable correlation analysis, extracting the results in the correlation matrix, and storing the results in the result storage array.
And screening the obtained correlation data according to the extremely strong positive correlation [0.8,1], the strong positive correlation [0.6,0.8 ], the medium-level positive correlation [0.4,0.6 ], the extremely strong negative correlation [ -1, -0.8], the strong negative correlation (-0.8, -0.6) and the medium-level negative correlation (-0.6, -0.4], so as to obtain the association relation among all the operation parameters. The method provides basis for the subsequent control strategy formulation, and can screen abnormal related data by combining conventional cognition to judge whether potential faults exist in the system.
Preferably, the frequency domain correlation analysis of the operating parameter is performed as a frequency domain correlation analysis of a periodic operating parameter.
Specifically, in the operation process of the water electrolysis hydrogen production system, typical periodic variation operation data exist, the periodicity is often caused by the variation of other monitoring parameters, and the periodic variation of different signals has different service life influences on equipment elements and the electrolytic tank, so that influence factors of the periodic data need to be found in the operation process, parameter adjustment is timely made, and the hydrogen production system is ensured to be in a working state which is favorable for the equipment elements, especially the electrolytic tank.
Further, performing a frequency domain correlation analysis on the periodic operating parameter includes:
firstly, selecting a corresponding period of an analysis working condition, and determining signal data to be analyzed, wherein the signal data to be analyzed comprises 1 object signal and a plurality of factor signals, and the factor signals are determined by time domain correlation analysis;
Secondly, determining a sampling interval sample_interval=time interval for monitoring data record of a signal to be analyzed, sampling frequency sample_freq=1/sample_interval, signal length signal_len=length of processing data (namely sampling interval sample_interval sampling point number N), and performing fast Fourier transform on each signal;
extracting frequency components of each signal, namely, frequencies corresponding to the sequences from large to small of amplitude values in a single-side frequency spectrum, determining the number of the frequency components according to the fineness of actual analysis, searching for the consistent frequency of a factor signal and a target signal, and carrying out inverse Fourier transform on the target signal by using the screened consistent frequency sequence;
And calculating the energy (square sum of signal amplitude) ratio of the object reconstruction signal obtained by inverse transformation to the original object signal and the amplitude fluctuation range caused by the consistent frequency sequence, utilizing the energy ratio and the amplitude fluctuation range to represent the influence degree of each factor signal on the object signal, taking the energy ratio as priority, and sequencing the influence degree of the amplitude fluctuation as auxiliary factor signal on the object signal as a frequency domain correlation analysis result.
In addition, the degree of closeness between the subject signal and the factor signal frequency component may be determined by calculating the Wasserstein distance between the main frequency component of each signal, and the smaller the Wasserstein distance, the closer the main frequency component of the factor signal and the subject signal, and the greater the influence on the periodic fluctuation of the subject signal.
Furthermore, the correlation analysis method is flexible in application mode, can be used as an independent data processing program for off-line analysis processing after the operation data are manually exported, and can be used for displaying analysis results by exporting an analysis result record table or compiling a graphical interface; or the information interaction is carried out with a monitoring platform of an upper computer of the control system, a script is written and exported through writing data records, an analysis period is set at an interface of the upper computer, the upper computer accesses the PLC operation data record file on line, and an analysis result is output at the upper computer; or by calling a correlation analysis programming language expansion library, such as a Modbus expansion library pymodbus of Python, establishing connection between the Python and the PLC, reading PLC data, analyzing the correlation on line in real time, writing the result into the PLC, and transmitting the result to an upper computer; the upper computer interface gives a time domain correlation relationship which is important to be focused to a medium degree and above and a frequency domain correlation relationship of periodic data, so that operation and maintenance personnel can check and help to determine abnormal and fault points or formulate a control optimization strategy, or the result can be further applied to subsequent predictive control.
The invention relates to a method for monitoring the correlation of the operation parameters of a water electrolysis hydrogen production system and analyzing faults, which is used as a means for representing the state of the water electrolysis system and provides a basis for controlling quantity adjustment and fault diagnosis of the complex operation system of water electrolysis hydrogen production. Through correlation analysis of time domains and frequency domains of each operation parameter, in the hydrogen production process influenced by multiple factors, the operation parameters can be adjusted according to correlation analysis conclusion, so that the system achieves a better operation state; the correlation analysis conclusion can also be used as input data of some important performance predictions to train and predict the system.
The fault diagnosis efficiency in the operation of the electrolytic water hydrogen production system is improved. The method can rapidly discover influencing factors of the abnormal fluctuation or abnormal periodic fluctuation of key parameters in the system operation, and help operation and maintenance personnel to find out fault points of maintenance.
Example 1
In the time domain correlation analysis of operation data of a certain specific working condition of a certain proton exchange membrane water electrolysis hydrogen production system (the original data are shown in table 1), the temperature between hydrogen production and the purity of hydrogen, the humidity of hydrogen, hydrogen in oxygen and oxygen in hydrogen are respectively in strong negative correlation (-0.82), strong positive correlation (0.87), strong positive correlation (0.75) and medium degree negative correlation (-0.52), so that the device gas detection instrument is greatly influenced by the environmental temperature, and the temperature compensation of software/hardware is prompted to ensure the effectiveness of gas production quality detection.
TABLE 1 time-domain correlation analysis raw data for proton exchange membrane water electrolysis hydrogen production system under certain specific working condition
Example 2
In the frequency domain correlation analysis of the constant voltage mode operation of a certain proton exchange membrane water electrolysis hydrogen production system in a certain period, the periodic fluctuation of the current signal is analyzed for the frequency domain correlation.
The correlation analysis of the time domain determines that the factors with strong correlation include hydrogen side temperature, hydrogen-oxygen side temperature difference and hydrogen production room temperature (the original data are shown in table 2), and after the frequency domain correlation analysis obtains the consistent frequency spectrum extraction of the current and the hydrogen side temperature, the amplitude fluctuation range of the reconstructed current signal is 12.45, and the ratio of the reconstructed current signal to the original signal energy is 0.9995.
After the spectrum extraction of the current consistent with the oxyhydrogen side temperature difference, the amplitude fluctuation range of the reconstructed current signal is 17.84, and the energy ratio of the reconstructed signal to the original signal is 0.9995; after the frequency spectrum extraction of the temperature consistency between the current and the hydrogen production, the amplitude fluctuation range of the reconstructed current signal is 26.77, and the energy ratio 0.9996 of the reconstructed signal to the original signal is realized.
The frequency correlation degree is sequentially from high to low: hydrogen production room temperature, oxyhydrogen side temperature difference, and hydrogen side temperature.
The periodic fluctuation frequency of the current and the Wasserstein distance of the main frequency components of the three influencing parameters are respectively as follows from the near to the far: the hydrogen production room temperature 0.00111, the oxyhydrogen side temperature difference 0.001225 and the hydrogen side temperature 0.00144 are consistent with the analysis conclusion of the frequency correlation, and can be used as auxiliary inspection or rapid calculation means of the frequency correlation.
From the conclusion, the temperature between hydrogen production is a main factor of periodic fluctuation of electrolysis current in a constant-voltage operation mode of the proton exchange membrane water electrolysis hydrogen production system, so that stable control of the environment temperature is needed or the heat exchange performance of the system is regulated and controlled according to the environment temperature, the period corresponding to the temperature difference of the oxyhydrogen side and the frequency of the hydrogen side and the current consistency is about 10.5min, the period can be used as an observation index for optimizing and regulating the temperature, and the fluctuation period of the temperature is controlled through the setting of the start-stop temperature of a cooling fan, the electrolysis flow and the control of the opening and closing of the electromagnetic valves on the oxyhydrogen side so as to keep the electrolysis current stable and prevent adverse effects on the service life of the electrolytic tank.
TABLE 2 frequency domain correlation analysis raw data for constant voltage mode operation of proton exchange membrane water electrolysis hydrogen production system under certain specific working condition
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (10)
1. The method for monitoring the operational parameter correlation and analyzing the faults of the water electrolysis hydrogen production system is characterized by comprising the following steps of:
Constructing state control and monitoring points of the water electrolysis hydrogen production system, and acquiring various operation parameters in the water electrolysis hydrogen production system;
Through carrying out time domain and frequency domain correlation analysis on each operation parameter in the water electrolysis hydrogen production system, the association relation between each state data is found, and a correlation analysis result is output, so that the operation state of each device in the system is represented, and a basis is provided for control and operation and maintenance strategy formulation.
2. The method for monitoring the correlation of operating parameters and analyzing faults of a hydrogen production system by water electrolysis according to claim 1, wherein the process for analyzing the time domain correlation of the operating parameters comprises the following steps:
Reading an operation parameter record file for a period of time, wherein N pieces of collected data are stored in a separated mode, and the data record length is recorded as M;
the method comprises the steps of reading N pieces of acquired data in columns, setting sampling intervals according to requirements in the reading process, and creating a two-dimensional array N x M of original data;
The method comprises the steps of selecting an np.corrcoef function in an extended library NumPy in a python programming language to calculate correlation, wherein a function return value is an N x N correlation coefficient matrix, each element r [ i ] [ j ] in the matrix represents a pearson correlation coefficient of the ith group of data and the jth group of data, the value range of the coefficient is between-1 and 1, wherein-1 represents complete negative correlation, 1 represents complete positive correlation, and 0 represents no correlation;
And creating a result storage array r A_B、rA_C……rB_C、rB_D … … of the inter-variable correlation analysis, extracting the results in the correlation matrix, and storing the results in the result storage array.
3. The method for monitoring the correlation of operating parameters and analyzing faults of a hydrogen production system by water electrolysis according to claim 2, wherein the process for analyzing the time domain correlation of the operating parameters further comprises:
And screening the obtained correlation data according to the extremely strong positive correlation [0.8,1], the strong positive correlation [0.6,0.8 ], the medium-level positive correlation [0.4,0.6 ], the extremely strong negative correlation [ -1, -0.8], the strong negative correlation (-0.8, -0.6) and the medium-level negative correlation (-0.6, -0.4], so as to obtain the association relation among all the operation parameters.
4. A method for monitoring and analyzing the correlation of operating parameters of a hydrogen production system by water electrolysis as claimed in claim 3, wherein the time domain correlation analysis of the operating parameters further comprises: before correlation calculation, the data collected by each detector is filtered to remove interference noise suffered by the signals.
5. The method for monitoring and analyzing the correlation of the operating parameters of a hydrogen production system by water electrolysis according to claim 1, wherein the frequency domain correlation analysis is performed on the operating parameters as a periodic operating parameters.
6. The method for monitoring the correlation of operating parameters and analyzing faults of a hydrogen production system by water electrolysis as claimed in claim 5, wherein the step of performing frequency domain correlation analysis on the periodic operating parameters comprises the steps of:
firstly, selecting a corresponding period of an analysis working condition, and determining signal data to be analyzed, wherein the signal data to be analyzed comprises 1 object signal and a plurality of factor signals, and the factor signals are determined by time domain correlation analysis;
Secondly, determining a sampling interval sample_interval=time interval for monitoring data record of a signal to be analyzed, sampling frequency sample_freq=1/sample_interval, signal length signal_len=length of processing data, and performing fast Fourier transform on each signal;
extracting frequency components of each signal, namely, frequencies corresponding to the sequences from large to small of amplitude values in a single-side frequency spectrum, determining the number of the frequency components according to the fineness of actual analysis, searching for the consistent frequency of a factor signal and a target signal, and carrying out inverse Fourier transform on the target signal by using the screened consistent frequency sequence;
And calculating the energy ratio of the object reconstruction signal obtained by inverse transformation to the original object signal and the amplitude fluctuation range caused by the consistent frequency sequence, utilizing the energy ratio and the amplitude fluctuation range to represent the influence degree of each factor signal on the object signal, taking the energy ratio as priority, and taking the amplitude fluctuation as auxiliary factor signal to order the influence degree of the object signal as a frequency domain correlation analysis result.
7. The method for monitoring and analyzing the correlation of the operating parameters of a hydrogen production system by water electrolysis according to claim 6, wherein the process for analyzing the correlation of the operating parameters in the frequency domain further comprises:
And determining the similarity degree of the frequency components of the object signal and the factor signal by calculating the Wasserstein distance of the main frequency components of each signal, and using the similarity degree as a verification index or a rapid calculation index of the frequency correlation.
8. The method for monitoring the correlation and analyzing faults of the operating parameters of the water electrolysis hydrogen production system as claimed in claim 1, wherein each operating parameter in the water electrolysis hydrogen production system comprises: temperature parameters, liquid level control parameters, water supply control parameters, pressure control parameters, power supply control parameters and gas production performance parameters;
Wherein the temperature parameters include: an electrolyzer inlet temperature, a hydrogen side temperature, an oxygen side temperature, and an oxyhydrogen side temperature difference;
the liquid level control parameters include: hydrogen side separator liquid level, oxygen side separator liquid level, hydrogen-oxygen side liquid level difference;
The water supply control parameters include: conductivity, circulating raw material water flow;
the pressure control parameters include: electrolyzer inlet pressure, hydrogen side pressure, oxygen side pressure, hydrogen-oxygen side pressure difference;
The power supply control parameters include: cell current, cell voltage;
The gas production performance parameters comprise the content of hydrogen in oxygen, the content of oxygen in hydrogen, the purity of hydrogen and the humidity of hydrogen.
9. The method for monitoring the correlation of the operation parameters and analyzing faults of the water electrolysis hydrogen production system according to claim 8 is characterized in that the water electrolysis hydrogen production system at least comprises a water pump (16), an electrolytic tank (7), a hydrogen separator (10) and an oxygen separator (13),
The water pump (16) is connected with the electrolytic tank (7) and is used for inputting raw water into the electrolytic tank (7);
The hydrogen separator (10) and the oxygen separator (13) are respectively connected with the electrolytic tank (7) to respectively collect hydrogen and oxygen generated by electrolysis.
10. The method for monitoring the correlation of the operating parameters of the hydrogen production system by water electrolysis and analyzing faults according to claim 9,
The circulating raw material water flow, the conductivity, the inlet temperature of the electrolytic cell and the inlet pressure of the electrolytic cell are respectively obtained by a circulating raw material water flow detector (1), a conductivity detector (2), an inlet temperature detector (3) of the electrolytic cell and an inlet pressure detector (4) of the electrolytic cell which are arranged on a pipeline between a water pump (16) and the electrolytic cell (7);
the cell voltage and the cell current are respectively measured by a cell voltage detector (8) and a cell current detector (9);
The hydrogen side temperature and the oxygen side temperature are respectively measured by a hydrogen side temperature detector (6) and an oxygen side temperature detector (5) which are arranged on a hydrogen outlet pipeline and an oxygen outlet pipeline of the electrolytic tank (7);
The hydrogen side pressure, the liquid level of the hydrogen side separator, the oxygen content in hydrogen, the hydrogen humidity and the hydrogen purity are measured by a hydrogen side pressure detector (11), a hydrogen side separator liquid level detector (12) and a hydrogen oxygen content detector (18), a hydrogen humidity detector (19) and a hydrogen purity detector (20) in an outlet pipeline of the hydrogen separator;
the oxygen side pressure, the oxygen side separator liquid level and the hydrogen content in oxygen are measured by an oxygen side pressure detector (14), an oxygen side separator liquid level detector (15) and an oxygen hydrogen content detector (21) on an outlet pipeline of the oxygen separator.
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