Hall thruster discharge chamber wall surface life estimation method, system, equipment and medium

Abstract

The invention provides a Hall thruster discharge chamber wall surface life estimation method, system and device and a medium, and the method comprises the steps: a preprocessing module which determines a to-be-estimated wall surface target position; the image recognition module is used for respectively acquiring color data of a wall background, a sediment sample and a wall target position after a discharge experiment and recording experiment time, the Hall thruster discharge experiment module is used for carrying out the discharge experiment on the wall target position, and the sedimentary layer depth analysis processing module is used for converting the color data into colored light three-primary-color data, estimating the depth of the sediment and recording the experiment time. And the wall surface life analysis and estimation module is used for obtaining a deposition rate and a sputtering rate in combination with the sediment depth and experimental time data, obtaining the shortest wall surface cutting time in combination with the wall thickness of the target position, and finally converting the shortest wall surface cutting time into wall surface life data. According to the method, the technical defects of an existing Hall thruster wall surface service life estimation method can be effectively overcome, and the actual requirement for rapid, accurate and low-cost estimation of the Hall thruster wall surface service life in the industry is met.

Description

Technical Field

[0001] This invention belongs to the field of space propulsion technology, specifically relating to a method, system, equipment, and medium for predicting the lifespan of the discharge chamber wall of a Hall thruster, and in particular, a method for predicting the lifespan of the discharge chamber wall of a Hall thruster. Background Technology

[0002] During normal operation of a Hall thruster, the plasma working medium sputters the material on the discharge chamber wall, which may cause thinning or even penetration of the wall. Once the integrity of the discharge chamber wall is compromised, not only will the thrust performance decrease, but the magnetic pole material will also be exposed to the harsh plasma environment, which may even cause the thruster to shut down unexpectedly in severe cases.

[0003] Therefore, from the initial development of Hall thrusters to the present day, the lifespan design of the discharge chamber walls has always been a core concern for designers. However, the verification of the thruster's design lifespan typically does not employ a direct "1:1" long-life verification method. This is because the design lifespan of Hall thrusters generally exceeds 10,000 hours, and direct verification would incur enormous economic and time costs.

[0004] Therefore, in recent decades, technologies that can efficiently and cost-effectively predict the lifespan of discharge chamber walls have become a focus of research.

[0005] For example, patent document CN116930054A discloses a method, apparatus, medium, and terminal for accelerated life testing of a Hall effect electric thruster, including: collecting discharge condition parameters of the thruster discharge channel wall; obtaining the theoretical sputtering erosion condition of the thruster discharge channel wall based on the discharge condition parameters and a sputtering erosion kinetic model; obtaining the experimental sputtering erosion condition of the thruster discharge channel wall based on the discharge condition parameters, a short-term life test measurement method, and the sputtering erosion kinetic model; and determining the life acceleration factor of the thruster discharge channel wall based on the theoretical sputtering erosion condition and the experimental sputtering erosion condition. This invention offers a life prediction and evaluation method that is inexpensive, rapid, and accurate.

[0006] For example, patent document CN110058097A discloses an accelerated life test method for a Hall thruster. This method involves conducting a short-duration actual ignition test on the Hall thruster, measuring the discharge channel wall profile at multiple different times during this process, and calculating the ion source parameters for this time period based on the discharge channel wall erosion rate formula. Then, based on the wall erosion rate formula and the ion source parameters, the wall profile for the next longer discharge channel period is extrapolated. The wall material is removed using mechanical processing to achieve the predicted profile of the discharge channel wall. This process is repeated iteratively between actual ignition testing and mechanical processing guided by model extrapolation until the Hall thruster discharge channel wall is completely eroded. The test time and predicted time are accumulated to obtain the thruster's lifespan.

[0007] For example, the non-patent document "Life estimation of Hall thrusters using multi spectralimaging" discloses the use of a spectrometer with multispectral images to monitor the spectral lines of ceramic elements in the discharge chamber channel in real time, thereby inferring the loss rate of the wall ceramic and predicting the wall (penetration) lifetime. However, this method monitors the ceramic elements of the entire channel, and the location where the wall can be penetrated is generally a local point. Therefore, this prediction method has a large error.

[0008] For example, the non-patent literature "Prediction of liner erosion and life estimation of stationary plasma thrusters using machine learning. The 36th International Electric Propulsion Conference" discloses a method that uses existing wall erosion profile data from different time periods to predict the wall erosion profile in future time periods based on machine self-learning. This method requires long-term, multiple wall profile data acquisition experiments, and the wall erosion profile must have obvious and observable changes. This is not suitable for magnetically shielded Hall thrusters with almost no wall erosion. At the same time, this method is costly in terms of both time and money.

[0009] For example, the non-patent literature "Life estimation of a low power Hall thruster using a parallel 2D hydrodynamic plasma model. The 38th International Electric Propulsion Conference" discloses a method to predict the wall erosion rate and life of a Hall thruster discharge chamber by establishing a 2D magnetohydrodynamic model and a wall sputtering model. The method was verified by a 310 W Hall thruster. Under 1000 hours of experimental data, the simulation prediction results differed significantly from the experimental results. This is because the wall erosion profile is a process of continuous boundary line retreat. However, it is difficult to implement dynamic mesh updating technology for the simulation calculation mesh. Therefore, this method also has a high error and is difficult to apply to other Hall thrusters with structural or working fluid changes.

[0010] In summary, based on the current research status, those skilled in the art have proposed several methods for predicting the lifetime extension of the discharge chamber wall of Hall thrusters. However, these methods generally suffer from problems such as large calculation errors, high time and economic costs, and are difficult to apply simultaneously to both magnetically shielded and non-magnetically shielded Hall thrusters. Therefore, there is an urgent need to develop a widely applicable, efficient, and economical method for predicting the lifetime of the discharge chamber wall of Hall thrusters. Summary of the Invention

[0011] To address the shortcomings of existing technologies, the present invention aims to provide a Hall thruster discharge chamber wall life prediction system, comprising: The preprocessing module determines the target location on the wall surface that needs to be estimated, which is the most vulnerable or weakest point on the wall surface.

[0012] The image recognition module takes pictures of the background color of the thruster discharge chamber wall to obtain background color data; takes pictures of sediment samples on the discharge chamber wall to obtain sediment color data; and takes pictures of the color of the target location on the wall after the thruster discharge experiment to obtain target location color data and records the experiment time.

[0013] The Hall thruster discharge test module conducts thruster discharge tests on the most easily splashed locations on the wall surface within the actual lifespan of the Hall thruster.

[0014] The sediment depth analysis and processing module at the target location on the wall further processes the background color data of the discharge chamber wall, the sediment color data, and the target location color data obtained by the image recognition module to obtain the corresponding primary color data of light, and then estimates the sediment depth.

[0015] The wall lifetime analysis and prediction module acquires and processes sediment depth data and experimental time data at the target location on the wall, calculates the deposition rate, then derives the sputtering rate from the deposition rate, and combines the thickness at the target location in the discharge chamber to obtain the shortest time for wall penetration. Finally, the shortest time is converted into wall lifetime data.

[0016] Preferably, the deposition layer depth analysis and processing module at the target location on the wall includes: Unit M601: Acquires and processes the background color data of the discharge chamber wall to obtain the three primary colors of the background color of the wall. Unit M602: Acquires and processes sediment background color data to obtain the three primary colors of the sediment background color; Unit M603: Acquires and processes color data of target locations on the wall surface to obtain the three primary colors of light at the target locations on the wall surface; Unit M604: Estimating sediment depth based on the three primary color data of units M601, M602 and M603.

[0017] Preferably, the wall life analysis and prediction module includes: Unit M701: Acquires and processes sediment depth data from the sediment depth analysis and processing module at the target location on the wall. Unit M702: Acquires and processes experimental time data recorded by the image recognition module; Unit M703: Deposition rate data were obtained based on sediment depth data from unit M701 and experimental time data from unit M702; Unit M704: Sputtering rate data is obtained based on the deposition rate data of unit M703; Unit M705: Based on the sputtering rate data of unit M704 and the thickness at the target location in the discharge chamber, the shortest time data for wall penetration is obtained; Unit M706: Converts the shortest wall penetration time data based on unit M705 into wall life data.

[0018] This invention proposes a method for predicting the lifespan of the discharge chamber wall of a Hall thruster, employing a Hall thruster discharge chamber wall lifespan prediction system, comprising: Step S1: Determine the target location on the wall surface that needs to be estimated, where the target location is the most vulnerable to sputtering or the weakest point. Step S2: Take a picture of the background color of the thruster discharge chamber wall to obtain the background color data of the discharge chamber wall; Step S3: Conduct a Hall thruster discharge experiment; Step S4: Take a picture of the color of the target position on the wall after the thruster discharge chamber experiment, obtain the color data of the target position on the wall, and record the experiment time; Step S5: Take a picture of the sediment sample on the wall of the discharge chamber and obtain the sediment color data; Step S6: Using the color data from the photos generated in steps S2 and S5, estimate the depth of the deposition layer at the target location on the wall. Step S7: Based on the data from step S6, estimate the sputtering rate and wall lifetime at the target location on the wall.

[0019] Preferably, in steps S2 and S5, the photo-taking process is carried out under the same light source, the same angle, the same distance, and the same background; the acquired color data includes: the three primary colors of light for each pixel of the photo.

[0020] Preferably, in steps S2 and S5, the background color of the discharge chamber wall and the color of the deposit have obvious color differences; in step S3, the Hall thruster discharge experiment estimates the cut-through time at the most easily sputtered position on the wall, and the estimated result is within the range of the actual lifespan of the Hall thruster.

[0021] Preferably, step S6 includes: Step S601: Acquire and process the background color data of the discharge chamber wall; Step S602: Acquire and process sediment background color data; Step S603: Acquire and process the color data of the target location on the wall; Step S604: Estimate sediment depth data based on the color data from steps S601, S602 and S603.

[0022] Preferably, step S7 includes: Step S701: Acquire and process sediment depth data; Step S702: Acquire and process the recorded experimental time data; Step S703: Obtain deposition rate data based on steps S701 and S702; Step S704: Obtain sputtering rate data based on the deposition rate data from step S703; Step S705: Based on the sputtering rate data from step S704 and the thickness at the target location in the discharge chamber, obtain the shortest time data for wall penetration; Step S706: Convert the shortest time data of wall penetration based on step S705 into wall life data.

[0023] This invention proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of a method for predicting the lifespan of the discharge chamber wall of a Hall thruster.

[0024] The present invention proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps of the Hall thruster discharge chamber wall life prediction method.

[0025] Compared with the prior art, the present invention has the following beneficial effects: 1. Compared to existing high-error prediction methods, this invention significantly improves the accuracy of predicting the discharge chamber wall surface of Hall thrusters. Specifically, the error in predicting the 1000-hour lifespan of a 5kW-class weakly magnetically shielded Hall thruster is only 25.7%, and the error in predicting the 200-hour lifespan of a 50kW-class unmagnetically shielded Hall thruster is only 14.8%. 2. This invention meets the actual need for rapid lifetime prediction in high-efficiency matching model tasks. It only requires collecting 24 hours of experimental data to complete the lifetime extension prediction for the entire cycle, without the need to carry out long-cycle experiments, which greatly saves time and economic costs.

[0026] 3. The prediction system of the present invention can complete the wall lifetime calculation by combining image recognition with quantitative analysis of the three primary color data of light to determine the deep bonding sputtering rate of the deposit. It does not require complicated experimental equipment and cumbersome experimental procedures, and is highly economical and practical. Attached Figure Description

[0027] Other features, objects, and advantages of the present invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings: Figure 1 This is a flowchart illustrating the method for predicting the lifespan of the discharge chamber wall of a Hall thruster proposed in this invention. Figure 2 This is a schematic diagram of the architecture of the Hall thruster discharge chamber wall life prediction system proposed in this invention. Detailed Implementation

[0028] The present invention will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present invention, but do not limit the invention in any way. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all fall within the scope of protection of the present invention.

[0029] This invention proposes a Hall thruster discharge chamber wall life prediction system, as shown in the attached figure. Figure 2As shown, it includes: a preprocessing module, which determines the target location on the wall surface that needs to be estimated, and the target location is the most easily sputtered or weakest point; an image recognition module, which takes pictures of the background color of the thruster discharge chamber wall surface to obtain the background color data of the discharge chamber wall surface; takes pictures of the sediment samples on the discharge chamber wall surface to obtain the sediment color data; takes pictures of the color of the target location on the wall surface after the thruster discharge experiment to obtain the color data of the target location on the wall surface and records the experiment time; a Hall thruster discharge experiment module, which conducts thruster discharge experiments on the most easily sputtered location on the wall surface within the actual lifespan of the Hall thruster; and a sediment depth analysis and processing module for the target location on the wall surface, which further processes the background color data of the discharge chamber wall surface, the sediment color data, and the color data of the target location on the wall surface obtained by the image recognition module to obtain the corresponding primary color data of light and to estimate the sediment depth.

[0030] The sediment depth analysis and processing module for the target location on the wall includes: Unit M601: acquiring and processing the background color data of the discharge chamber wall to obtain the three primary colors of the background color of the wall; Unit M602: acquiring and processing the background color data of the sediment to obtain the three primary colors of the background color of the sediment; Unit M603: acquiring and processing the color data of the target location on the wall to obtain the three primary colors of the background color of the wall; Unit M604: estimating the sediment depth based on the three primary colors of the background color of Units M601, M602 and M603.

[0031] The wall lifetime analysis and prediction module acquires and processes sediment depth data and experimental time data at the target location on the wall, calculates the deposition rate, then derives the sputtering rate from the deposition rate, and combines this with the thickness at the target location in the discharge chamber to obtain the shortest time for wall penetration. Finally, this shortest time is converted into wall lifetime data.

[0032] The wall lifetime analysis and prediction module includes: Unit M701: Acquires and processes sediment depth data from the sediment depth analysis and processing module at the target location on the wall; Unit M702: Acquires and processes experimental time data recorded by the image recognition module; Unit M703: Obtains sedimentation rate data based on the sediment depth data in Unit M701 and the experimental time data in Unit M702; Unit M704: Obtains sputtering rate data based on the sedimentation rate data in Unit M703; Unit M705: Obtains the shortest wall penetration time data based on the sputtering rate data in Unit M704 and the thickness at the target location of the discharge chamber; Unit M706: Converts the shortest wall penetration time data based on Unit M705 into wall lifetime data.

[0033] This invention proposes a method for predicting the lifespan of the discharge chamber wall of a Hall thruster, employing a Hall thruster discharge chamber wall lifespan prediction system, as shown in the attached figure. Figure 1 As shown, the process includes: Step S1: Determine the target location on the wall surface that needs to be estimated. The target location is the most vulnerable or thinnest point on the wall surface; Step S2: Take a picture of the background color of the thruster discharge chamber wall surface to obtain the background color data of the discharge chamber wall surface; Step S3: Conduct a Hall thruster discharge experiment; In the Hall thruster discharge experiment, estimate the penetration time of the most vulnerable point on the wall surface. The estimated result is within the range of the actual lifespan of the Hall thruster; Step S4: Take a picture of the color of the target location on the wall surface after the thruster discharge chamber experiment to obtain the color data of the target location on the wall surface, and record the experiment time T0; Step S5: Take a picture of the deposit sample on the discharge chamber wall surface to obtain the deposit color data.

[0034] Furthermore, in steps S2 and S5, the photo-taking process is carried out under the same light source, the same angle, the same distance, and the same background; the acquired color data includes: the three primary color data (R, G, B) of each pixel in the photo. For example, embodiments of the present invention use the "get pixel" function in Python code to capture the (R, G, B) data of the image.

[0035] In steps S2 and S5, the background color and the deposit color of the discharge chamber wall have obvious color differences. For example, the common material of the Hall thruster discharge chamber is a mixture of BN and SiO2, with a background color of white; the deposit is a mixture of C and Fe, with a background color of black.

[0036] Step S6: Using the color data from the photos generated in steps S2 and S5, estimate the deposition depth at the target location on the wall. Further, step S6 includes: Step S601: Acquire and process the background color data of the discharge chamber wall; Step S602: Acquire and process the background color data of the sediment; Step S603: Acquire and process the color data of the target location on the wall; Step S604: Estimate the sediment depth data based on the color data from steps S601, S602, and S603. In step S6, the background color of the discharge chamber wall is set to (R1, G1, B1), the background color of the sediment is set to (R2, G2, B2), and the color of the target location on the wall is set to (r, g, b). The following formula can be used to derive the relationship between the target location color (r, g, b) and the sediment depth. The relationship of [nm]: When the value of (R2+G2+B2) is less than (R1+G1+B1), the following formula is satisfied:

[0037] For example, assuming a Hall thruster with a wall material of a mixture of BN (boron nitride) and SiO2 (silicon dioxide), the above formula applies when the value of (R2+G2+B2) is less than (R1+G1+B1).

[0038] When the value of (R2+G2+B2) is greater than that of (R1+G1+B1), the following formula is satisfied:

[0039] Step S7: Estimate the sputtering rate and wall lifetime at the target location on the wall based on the data from Step S6; further, Step S7 includes: Step S701: Acquire and process sediment depth data; Step S702: Acquire and process recorded experimental time data; Step S703: Obtain sedimentation rate data based on Steps S701 and S702; Step S704: Obtain sputtering rate data based on the sedimentation rate data from Step S703; Step S705: Obtain the shortest wall penetration time data based on the sputtering rate data from Step S704 and the thickness at the target location in the discharge chamber; Step S706: Convert the shortest wall penetration time data from Step S705 into wall lifetime data; In Step S7, based on the following formula, the sediment depth in Step S6 is used to estimate the wall lifetime data. The deposition rate was obtained from [nm] and the experimental time T0 recorded in step S4. [nm / s]:

[0040] According to the following formula, and based on the deposition rate Obtain the sputtering rate [nm / s]:

[0041] Based on the thickness at the target location of the discharge chamber H c [nm] is the shortest time for the wall to penetrate, which is the wall lifetime, obtained using the following formula. [h]:

[0042] When the Hall thruster has a wall material of a mixture of BN and SiO2, the following experimental verification was conducted using the Hall thruster discharge chamber wall lifetime prediction method proposed in this invention: For a 1000-hour verification experiment of a 5 kW-class weakly shielded Hall thruster, the error of the prediction method of this invention was 25.7%, and the predicted value was less than the actual lifespan. For a 200-hour verification experiment of a 50 kW-class unshielded Hall thruster, the error of the prediction method of this invention was 14.8%. Furthermore, considering that the data acquisition time for both experiments was 24 hours (only 24 hours of data were used for extended prediction), this invention clearly saves a significant amount of time and economic costs, and is of great assistance to some rapid lifespan prediction needs in model missions.

[0043] This invention proposes a computer-readable storage medium storing a computer program that, when executed by a processor, implements any of the steps of the above-described method for predicting the lifespan of the discharge chamber wall of a Hall thruster.

[0044] The present invention proposes an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements any of the steps of the above-described Hall thruster discharge chamber wall life prediction method.

[0045] Those skilled in the art will understand that, besides implementing the system and its various devices, modules, and units provided by this invention in the form of purely computer-readable program code, the same functions can be achieved entirely through logical programming of the method steps, making the system and its various devices, modules, and units of this invention function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, the system and its various devices, modules, and units provided by this invention can be considered as a hardware component, and the devices, modules, and units included therein for implementing various functions can also be considered as structures within the hardware component; alternatively, the devices, modules, and units for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.

[0046] Specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the specific embodiments described above, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Unless otherwise specified, the embodiments and features described in this application can be arbitrarily combined with each other.

Claims

1. A Hall thruster discharge chamber wall life prediction system, characterized in that, include: The preprocessing module determines the target location on the wall surface that needs to be estimated, and the target location on the wall surface is the most vulnerable or weakest point to sputtering. The image recognition module takes pictures of the background color of the thruster discharge chamber wall to obtain background color data; takes pictures of sediment samples on the discharge chamber wall to obtain sediment color data; and takes pictures of the color of the target location on the wall after the thruster discharge experiment to obtain target location color data and record the experiment time. The Hall thruster discharge test module conducts thruster discharge tests on the most easily splashed locations on the wall surface within the actual lifespan of the Hall thruster. The sediment depth analysis and processing module at the target location on the wall further processes the background color data of the discharge chamber wall, the sediment color data, and the target location color data obtained by the image recognition module to obtain the corresponding primary color data of light, and then estimates the sediment depth. The wall lifetime analysis and prediction module acquires and processes sediment depth data and experimental time data at the target location on the wall, calculates the deposition rate, then derives the sputtering rate from the deposition rate, and combines the thickness at the target location in the discharge chamber to obtain the shortest time for wall penetration. Finally, the shortest time is converted into wall lifetime data.

2. The Hall thruster discharge chamber wall life prediction system according to claim 1, characterized in that, The deposition layer depth analysis and processing module at the target location on the wall includes: Unit M601: Acquires and processes the background color data of the discharge chamber wall to obtain the three primary colors of the background color of the wall. Unit M602: Acquires and processes sediment background color data to obtain the three primary colors of the sediment background color; Unit M603: Acquires and processes color data of target locations on the wall surface to obtain the three primary colors of light at the target locations on the wall surface; Unit M604: Estimating sediment depth based on the three primary color data of units M601, M602 and M603.

3. The Hall thruster discharge chamber wall life prediction system according to claim 1, characterized in that, The wall life analysis and prediction module includes: Unit M701: Acquires and processes sediment depth data from the sediment depth analysis and processing module at the target location on the wall. Unit M702: Acquires and processes experimental time data recorded by the image recognition module; Unit M703: Deposition rate data were obtained based on sediment depth data from unit M701 and experimental time data from unit M702; Unit M704: Sputtering rate data is obtained based on the deposition rate data of unit M703; Unit M705: Based on the sputtering rate data of unit M704 and the thickness at the target location in the discharge chamber, the shortest time data for wall penetration is obtained; Unit M706: Converts the shortest wall penetration time data based on unit M705 into wall life data.

4. A method for predicting the lifespan of the discharge chamber wall of a Hall thruster, employing the Hall thruster discharge chamber wall lifespan prediction system as described in claim 1, characterized in that... include: Step S1: Determine the target location on the wall surface that needs to be estimated, where the target location is the most vulnerable to sputtering or the weakest point. Step S2: Take a picture of the background color of the thruster discharge chamber wall to obtain the background color data of the discharge chamber wall; Step S3: Conduct a Hall thruster discharge experiment; Step S4: Take a picture of the color of the target position on the wall after the thruster discharge chamber experiment, obtain the color data of the target position on the wall, and record the experiment time; Step S5: Take a picture of the sediment sample on the wall of the discharge chamber and obtain the sediment color data; Step S6: Using the color data from the photos generated in steps S2 and S5, estimate the depth of the deposition layer at the target location on the wall. Step S7: Based on the data from step S6, estimate the sputtering rate and wall lifetime at the target location on the wall.

5. The method for predicting the lifespan of the discharge chamber wall of a Hall thruster according to claim 4, characterized in that, In steps S2 and S5, the photo-taking process is carried out under the same light source, the same angle, the same distance, and the same background; the acquired color data includes the color data of the three primary colors of each pixel in the photo.

6. The method for predicting the lifespan of the discharge chamber wall of a Hall thruster according to claim 4, characterized in that, In steps S2 and S5, the background color of the discharge chamber wall and the color of the deposit have obvious color differences; in step S3, the Hall thruster discharge experiment estimates the cut-through time at the most easily sputtered position on the wall, and the estimated result is within the range of the actual lifespan of the Hall thruster.

7. The method for predicting the lifespan of the discharge chamber wall of a Hall thruster according to claim 4, characterized in that, Step S6 includes: Step S601: Acquire and process the background color data of the discharge chamber wall; Step S602: Acquire and process sediment background color data; Step S603: Acquire and process the color data of the target location on the wall; Step S604: Estimate sediment depth data based on the color data from steps S601, S602 and S603.

8. The method for predicting the lifespan of the discharge chamber wall of a Hall thruster according to claim 4, characterized in that, Step S7 includes: Step S701: Acquire and process sediment depth data; Step S702: Acquire and process the recorded experimental time data; Step S703: Obtain deposition rate data based on steps S701 and S702; Step S704: Obtain sputtering rate data based on the deposition rate data from step S703; Step S705: Based on the sputtering rate data from step S704 and the thickness at the target location in the discharge chamber, obtain the shortest time data for wall penetration; Step S706: Convert the shortest time data of wall penetration based on step S705 into wall life data.

9. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for predicting the lifespan of the discharge chamber wall of a Hall thruster as described in any one of claims 4 to 8.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the computer program is executed by the processor, it implements the steps of the method for predicting the lifespan of the discharge chamber wall of a Hall thruster as described in any one of claims 4 to 8.

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