A fault detection method and device for hydrogen production by aluminum hydrolysis

Abstract

The application discloses a fault detection method and device for aluminum hydrolysis hydrogen production, and relates to the technical field of aluminum hydrolysis hydrogen production.The application creatively introduces the influence of an activating substance on the hydrogen production and output rate of the aluminum hydrogen production reaction in the reaction process, calculates an ideal gas pressure value in a reaction kettle according to the proportioning of the activating substance, compares the ideal gas pressure value with an actually monitored gas pressure value, further adopts a guided wave signal to troubleshoot the reaction kettle when there is a difference in the comparison result, and obtains a fault point of gas escape, so that the aluminum hydrogen production reaction fault detection under different proportions can be implemented, the application has high applicability and is easy to popularize.

Description

Technical Field

[0001] This invention relates to the field of aluminum hydrolysis hydrogen production technology, and specifically to a fault detection method and apparatus for aluminum hydrolysis hydrogen production. Background Technology

[0002] Hydrogen is an important secondary energy source, capable of being utilized and stored. It boasts abundant resources, environmental friendliness, high calorific value, good combustion performance, and high potential economic benefits. Currently, industrial hydrogen production primarily utilizes fossil fuels and water electrolysis. Among these methods, hydrogen production using metallic aluminum is the most efficient, achieving a purity of 90% or higher. This purity can be directly used in hydrogen fuel cell power generation, and the resulting alumina is an important industrial raw material for further resource utilization. However, precautions must be taken during hydrogen production. Malfunctions, such as cracks or unsealed parts in the reactor, can lead to gas escape. Hydrogen can dissolve over a very wide range of concentrations in air and oxygen. Hydrogen is flammable and explosive, and the temperature and energy of its ignition and detonation sparks are very low. Once hydrogen escapes, it can easily cause huge economic losses and even threaten the personal safety of personnel at the accident site. Currently, the detection of gas pressure changes in the reactor is the primary method for monitoring reactor malfunctions. However, in order to improve the production efficiency of hydrogen production from aluminum hydrolysis, activating substances such as metallic calcium and metallic iron are added during the reaction process. Due to the different compositions and amounts of the added activating substances, the hydrogen production and output rate are different, resulting in different patterns of gas pressure changes in the reactor. Existing gas pressure change monitoring methods are difficult to meet the fault detection requirements of different aluminum hydrolysis hydrogen production reactions. Summary of the Invention

[0003] To overcome the above-mentioned defects, this invention provides a fault detection method and apparatus for aluminum hydrolysis hydrogen production. This invention creatively introduces the influence of activating substances on the hydrogen production and output rate of the aluminum hydrogen production reaction during the reaction process. The ideal gas pressure value in the reactor is calculated based on the ratio of activating substances and compared with the actual monitored gas pressure value. When there is a difference in the comparison result, guided wave signals are further used to troubleshoot the reactor and find the fault point where gas escape exists. It can be used for fault detection of aluminum hydrogen production reaction under different ratios, has high applicability, and is easy to promote.

[0004] A fault detection method for hydrogen production via aluminum hydrolysis includes the following steps:

[0005] Step 1: Establish a model for the hydrogen production reaction by aluminum hydrolysis;

[0006] Step 2: Obtain the ratio of activated substances in the actual aluminum hydrolysis hydrogen production reaction as the hydrogen production ratio, and input the hydrogen production ratio into the aluminum hydrolysis hydrogen production reaction model to obtain the standard pressure value of hydrogen production.

[0007] Step 3: Compare the real-time hydrogen production pressure difference obtained in the reactor with the standard hydrogen production pressure value. If there is a difference in the comparison result, use guided wave signal to excite the reactor for troubleshooting and find the reactor fault point.

[0008] Preferably, the ratio of the activating material includes the ratio of activating metal, the ratio of soluble salt, the ratio of zeolite, and the thermal shock temperature difference of aluminum particles.

[0009] Preferably, the specific steps for establishing the aluminum hydrolysis hydrogen production reaction model in step 1 are as follows:

[0010] Step 11: Establish an ideal aluminum reaction model and perform differential separation on the ideal aluminum reaction model based on the watershed algorithm;

[0011] Step 12: Establish a factor sequence as an analog quantity based on the hydrogen production ratio;

[0012] Step 13: Using the FLANN method, the aluminum reaction model after differential separation is offset and erased based on the analog quantity to obtain the aluminum hydrolysis hydrogen production reaction model.

[0013] Preferably, the specific steps for using guided wave signals for excitation and troubleshooting in step 3 are as follows:

[0014] Step 31: Based on the design drawings of the reactor, establish a three-dimensional model of the reactor. Using the reactor thickness indicated in the design drawings as the reference quantity, calculate the echo signal generated when the ultrasonic guided wave signal excites the model as the reference signal.

[0015] Step 32: Excite the reactor with ultrasonic guided waves to obtain real-time detection signals, and compare the real-time detection signals with the reference signals to obtain the difference;

[0016] Step 33: Mark the difference locations on the 3D model of the reactor based on the difference to determine the reactor failure point.

[0017] Preferably, in step 32, when comparing the real-time detection signal with the reference signal to obtain the difference, the method further includes the following steps:

[0018] Step 321: The ultrasonic guided wave module performs real-time excitation and reception of ultrasonic guided waves on the reactor, and uses the received real-time echo signal as the real-time detection signal.

[0019] Step 322: Perform characteristic transformation on the reference signal and the real-time detection signal, extract the wave packet characteristics, perform DAC curve correction on the filtered and transformed signal, and obtain the distance amplitude curve as the attenuation characteristic.

[0020] Step 323: Solve for the stress, strain and displacement generated by the propagation of the ultrasonic guided wave in the reactor based on the attenuation characteristics, obtain the detection waveform, and compare the detection waveform with the standard waveform.

[0021] Preferably, the characteristic transformation in step 322 involves first homogenizing the data and then performing a Hilbert transform.

[0022] Preferably, the homogenization process involves using voxel filtering to sparse both the reference signal and the real-time detection signal.

[0023] A fault detection device for hydrogen production via aluminum hydrolysis includes the following:

[0024] Ultrasonic guided wave excitation module: used to generate sinusoidal pulse signals that can be applied to the reactor;

[0025] Supermarket guided wave receiver module: used to receive the received echo signal and convert it into a digital signal for processing;

[0026] Signal calculation module: used to perform homogenization and Hilbert transform on the reference signal and real-time detection signal, and to derive the detection waveform based on the basic principle of transient dynamics finite element;

[0027] Reactor Modeling Module: Used to create a 3D model of the reactor based on the reactor drawings, and to mark the differences based on the discrepancies.

[0028] Aluminum hydrolysis hydrogen production reaction modeling module: used to establish an aluminum hydrolysis hydrogen production reaction model for calculating the standard pressure value of hydrogen production;

[0029] Pressure monitoring module: Used to detect the pressure value in the reaction vessel.

[0030] An electronic device includes a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that the processor executes the computer program to implement the steps of the fault detection method for producing hydrogen by aluminum hydrolysis.

[0031] A computer-readable medium having processor-executable non-volatile program code, characterized in that the program code causes the processor to execute the fault detection method for producing hydrogen by aluminum hydrolysis.

[0032] The beneficial effects of this invention are reflected in:

[0033] The influence of activating substances on the hydrogen production and rate of the aluminum-to-hydrogen reaction during the reaction process was creatively introduced. The ideal gas pressure value in the reactor was calculated based on the ratio of activating substances and compared with the actual monitored gas pressure value. When there is a difference in the comparison result, guided wave signals were further used to troubleshoot the reactor and find the fault point where gas escape exists. It can be used for fault detection of aluminum-to-hydrogen reaction under different ratios, with high applicability and easy promotion. Attached Figure Description

[0034] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0035] Figure 1 A flowchart of a fault detection method for hydrogen production by aluminum hydrolysis provided by the present invention;

[0036] Figure 2 The flowchart for establishing an aluminum hydrolysis hydrogen production reaction model is provided for a fault detection method for aluminum hydrolysis hydrogen production according to the present invention.

[0037] Figure 3 The waveform diagram of the ultrasonic guided wave module detecting a gap in a fault detection method for hydrogen production by aluminum hydrolysis provided by the present invention. Detailed Implementation

[0038] The embodiments of the technical solution of the present invention will now be described in detail with reference to the accompanying drawings. These embodiments are merely illustrative of the technical solution of the present invention and are therefore intended to limit the scope of protection of the present invention.

[0039] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application should have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0040] like Figure 1 As shown, a fault detection method for hydrogen production by aluminum hydrolysis includes the following steps:

[0041] Step 1: Establish a model for the hydrogen production reaction by aluminum hydrolysis;

[0042] Step 2: Obtain the ratio of activated substances in the actual aluminum hydrolysis hydrogen production reaction as the hydrogen production ratio, and input the hydrogen production ratio into the aluminum hydrolysis hydrogen production reaction model to obtain the standard pressure value of hydrogen production.

[0043] Step 3: Compare the real-time hydrogen production pressure difference obtained in the reactor with the standard hydrogen production pressure value. If there is a difference in the comparison result, use guided wave signal to excite the reactor for troubleshooting and find the reactor fault point.

[0044] More specifically, the ratio of the activating substances includes the ratio of activating metals, the ratio of soluble salts, the ratio of zeolites, and the thermal shock temperature difference of aluminum particles.

[0045] In this embodiment, the activated metal ratio is the percentage of activated metal in the total reaction, the soluble salt ratio is the percentage of soluble salt in the total reaction, and the zeolite ratio is the gross weight of zeolite.

[0046] like Figure 2 As shown, more specifically, the specific steps for establishing the aluminum hydrolysis hydrogen production reaction model in step 1 are as follows:

[0047] Step 11: Establish an ideal aluminum reaction model and perform differential separation on the ideal aluminum reaction model based on the watershed algorithm;

[0048] Step 12: Establish a factor sequence as an analog quantity based on the hydrogen production ratio;

[0049] Step 13: Using the FLANN method, the aluminum reaction model after differential separation is offset and erased based on the analog quantity to obtain the aluminum hydrolysis hydrogen production reaction model.

[0050] The ideal aluminum reaction model is shown in the following equation:

[0051]

[0052] Among them, h p Here, B is the frequency factor, R is the apparent activation energy, T is the gas constant, and T is the thermal shock temperature difference, which is usually taken as 0-70°C.

[0053] The ideal aluminum reaction model after differential separation is shown in the following equation:

[0054]

[0055] Where, x 0 To develop grayscale, z = (1,2,3,…n).

[0056] The analog quantity derived from the factor sequence based on the hydrogen production ratio is shown in the following formula:

[0057]

[0058] Where k0 is the metal ratio, t0 is the soluble salt ratio, and z0 is the zeolite ratio.

[0059] The aluminum hydrolysis hydrogen production reaction model after offset erasure is shown in the following equation:

[0060]

[0061] More specifically, the specific steps for using guided wave signals for excitation and troubleshooting in step 3 are as follows:

[0062] Step 31: Based on the design drawings of the reactor, establish a three-dimensional model of the reactor. Using the reactor thickness indicated in the design drawings as the reference quantity, calculate the echo signal generated when the ultrasonic guided wave signal excites the model as the reference signal.

[0063] Step 32: Excite the reactor with ultrasonic guided waves to obtain real-time detection signals, and compare the real-time detection signals with the reference signals to obtain the difference;

[0064] Step 33: Mark the difference locations on the 3D model of the reactor based on the difference to determine the reactor failure point.

[0065] Generally, ultrasonic guided waves are classified into longitudinal, torsional, and bending modes. The first two are axisymmetric guided wave modes, while the last mode is non-axisymmetric. In engineering applications, the first two modes are often preferred because they each have their own advantages.

[0066] More specifically, in step 32, when comparing the real-time detection signal with the reference signal to obtain the difference, the following steps are also included:

[0067] Step 321: The ultrasonic guided wave module performs real-time excitation and reception of ultrasonic guided waves on the reactor, and uses the received real-time echo signal as the real-time detection signal.

[0068] Step 322: Perform characteristic transformation on the reference signal and the real-time detection signal, extract the wave packet characteristics, perform DAC curve correction on the filtered and transformed signal, and obtain the distance amplitude curve as the attenuation characteristic.

[0069] Step 323: Solve for the stress, strain and displacement generated by the propagation of the ultrasonic guided wave in the reactor based on the attenuation characteristics, obtain the detection waveform, and compare the detection waveform with the standard waveform.

[0070] like Figure 3 As shown, due to the different propagation speeds of ultrasonic guided waves in different media, the propagation time on the solid reactor wall is less than the propagation time in the air of the gap. At the same time, when the ultrasonic wave changes from the metal medium of the reactor to the air medium, the ultrasonic waveform will produce obvious fluctuations. When the ultrasonic guided wave is used to detect the reactor in real time, if its duration is less than the standard duration reached at a wave speed of 3551 m / s, it indicates that there is a gap in the part.

[0071] More specifically, the characteristic transformation in step 322 involves first homogenizing the data and then performing a Hilbert transform.

[0072] More specifically, the homogenization process involves using voxel filtering to sparse both the reference signal and the real-time detection signal.

[0073] A fault detection device for hydrogen production via aluminum hydrolysis includes the following:

[0074] Ultrasonic guided wave excitation module: used to generate sinusoidal pulse signals that can be applied to the reactor;

[0075] Supermarket guided wave receiver module: used to receive the received echo signal and convert it into a digital signal for processing;

[0076] Signal calculation module: used to perform homogenization and Hilbert transform on the reference signal and real-time detection signal, and to derive the detection waveform based on the basic principle of transient dynamics finite element;

[0077] Reactor Modeling Module: Used to create a 3D model of the reactor based on the reactor drawings, and to mark the differences based on the discrepancies.

[0078] Aluminum hydrolysis hydrogen production reaction modeling module: used to establish an aluminum hydrolysis hydrogen production reaction model for calculating the standard pressure value of hydrogen production;

[0079] Pressure monitoring module: Used to detect the pressure value in the reaction vessel.

[0080] An electronic device includes a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that the processor executes the computer program to implement the steps of the fault detection method for producing hydrogen by aluminum hydrolysis.

[0081] A computer-readable medium having processor-executable non-volatile program code, characterized in that the program code causes the processor to execute the fault detection method for producing hydrogen by aluminum hydrolysis.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. A fault detection method for hydrogen production via aluminum hydrolysis, characterized in that, Includes the following steps: Step 1: Establish a model for the hydrogen production reaction by aluminum hydrolysis; Step 2: Obtain the ratio of activated substances in the actual aluminum hydrolysis hydrogen production reaction as the hydrogen production ratio, and input the hydrogen production ratio into the aluminum hydrolysis hydrogen production reaction model to obtain the standard pressure value of hydrogen production. Step 3: Compare the real-time hydrogen production pressure difference obtained in the reactor with the standard hydrogen production pressure value. If there is a difference in the comparison result, use guided wave signal to excite the reactor for troubleshooting and find the reactor fault point.

2. The fault detection method for hydrogen production by aluminum hydrolysis according to claim 1, characterized in that, The ratio of the activating substances includes the ratio of activating metals, the ratio of soluble salts, the ratio of zeolite, and the thermal shock temperature difference of aluminum particles.

3. The fault detection method for hydrogen production by aluminum hydrolysis according to claim 2, characterized in that, The specific steps for establishing the aluminum hydrolysis hydrogen production reaction model in step 1 are as follows: Step 11: Establish an ideal aluminum reaction model and perform differential separation on the ideal aluminum reaction model based on the watershed algorithm; Step 12: Establish a factor sequence as an analog quantity based on the hydrogen production ratio; Step 13: Using the FLANN method, the aluminum reaction model after differential separation is offset and erased based on the analog quantity to obtain the aluminum hydrolysis hydrogen production reaction model.

4. The fault detection method for hydrogen production by aluminum hydrolysis according to claim 1, characterized in that, In step 3, the specific steps for using guided wave signals for excitation and troubleshooting are as follows: Step 31: Based on the design drawings of the reactor, establish a three-dimensional model of the reactor. Using the reactor thickness indicated in the design drawings as the reference quantity, calculate the echo signal generated when the ultrasonic guided wave signal excites the model as the reference signal. Step 32: Excite the reactor with ultrasonic guided waves to obtain real-time detection signals, and compare the real-time detection signals with the reference signals to obtain the difference; Step 33: Mark the difference locations on the 3D model of the reactor based on the difference to determine the reactor failure point.

5. The fault detection method for hydrogen production by aluminum hydrolysis according to claim 4, characterized in that, In step 32, when comparing the real-time detection signal with the reference signal to obtain the difference, the following steps are also included: Step 321: The ultrasonic guided wave module performs real-time excitation and reception of ultrasonic guided waves on the reactor, and uses the received real-time echo signal as the real-time detection signal. Step 322: Perform characteristic transformation on the reference signal and the real-time detection signal, extract the wave packet characteristics, perform DAC curve correction on the filtered and transformed signal, and obtain the distance amplitude curve as the attenuation characteristic. Step 323: Solve for the stress, strain and displacement generated by the propagation of the ultrasonic guided wave in the reactor based on the attenuation characteristics, obtain the detection waveform, and compare the detection waveform with the standard waveform.

6. The fault detection method for hydrogen production by aluminum hydrolysis according to claim 5, characterized in that, The characteristic transformation in step 322 involves first homogenizing the data and then performing a Hilbert transform.

7. The fault detection method for hydrogen production by aluminum hydrolysis according to claim 6, characterized in that, The homogenization process involves using voxel filtering to sparse both the reference signal and the real-time detection signal.

8. A fault detection device for hydrogen production via aluminum hydrolysis, characterized in that, A fault detection method for hydrogen production by aluminum hydrolysis, comprising any one of claims 1-4, includes the following: Ultrasonic guided wave excitation module: used to generate sinusoidal pulse signals that can be applied to the reactor; Supermarket guided wave receiver module: used to receive the received echo signal and convert it into a digital signal for processing; Signal calculation module: used to perform homogenization and Hilbert transform on the reference signal and real-time detection signal, and to derive the detection waveform based on the basic principle of transient dynamics finite element; Reactor Modeling Module: Used to create a 3D model of the reactor based on the reactor drawings, and to mark the differences based on the discrepancies. Aluminum hydrolysis hydrogen production reaction modeling module: used to establish an aluminum hydrolysis hydrogen production reaction model for calculating the standard pressure value of hydrogen production; Pressure monitoring module: Used to detect the pressure value in the reaction vessel.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the fault detection method for aluminum hydrolysis hydrogen production as described in any one of claims 1 to 7.

10. A computer-readable medium having processor-executable non-volatile program code, characterized in that, The program code causes the processor to execute the fault detection method for hydrogen production by aluminum hydrolysis as described in any one of claims 1 to 7.

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