Waterway electrode health state assessment method and computer system

Abstract

The invention belongs to the technical field of power system equipment maintenance, and particularly relates to a waterway electrode health state assessment method and a computer system. The method comprises the following steps: S1, scanning an electrode to be evaluated through an X-ray machine; s2, parameters related to the health state evaluation parameters of the waterway electrode are obtained according to the energy change condition of X rays in the imaging process of the X-ray machine, and the health state evaluation parameters of the waterway electrode are calculated according to the obtained related parameters; and S3, evaluating the health state of the waterway electrode according to the health state evaluation parameters. According to the method, the to-be-evaluated electrode is scanned through the X-ray machine, the health state evaluation parameters of the to-be-evaluated electrode are obtained, then the health state of the electrode is evaluated through the health state evaluation parameters, the electrode does not need to be disassembled in the whole process, and the problem of tedious operation steps does not exist. According to the invention, the technical problem of tedious operation steps of health state evaluation of the waterway electrode in the prior art is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of power system equipment maintenance, and in particular relates to a water channel electrode health status assessment method and a computer system. Background Art

[0002] The converter valve is the core equipment of the (Ultra) High Voltage Direct Current (HVDC) transmission project. Its operational reliability directly determines whether the entire DC transmission system can operate normally. Generally, a power outage and maintenance is required every year to ensure that the functions and performance of the converter valve equipment are normal. Due to the presence of high power and high voltage, the core electrical components of the converter valve will cause abnormal heating due to their own losses, and compulsory means must be used to dissipate the heat of the converter valve heating components. At present, the converter valve equipment adopts water cooling to dissipate heat, and water channels of varying thickness are designed in the valve tower. However, the water channels bring electrical problems such as corrosion, insulation, voltage balancing, and equipotential. In order to solve such problems, platinum electrodes that are extremely difficult to corrode and can be used for a long time were introduced into the converter valve water channel.

[0003] During the normal operation of the converter valve equipment, the aluminum radiator, stainless steel water pipes and metal waterways of other components in the valve tower water channel will experience varying degrees of electrolytic corrosion, generating metal ions in the water channel, which will eventually be adsorbed by the platinum electrode probes designed to be inserted into the water channel to form deposits. As the operating time increases, the platinum electrode probes will gradually be covered with scale and become thicker year by year. According to research and analysis, scale exhibits insulating properties. Sufficiently thick scale will lead to the failure of the equipotential effect of the platinum electrode, which will eventually cause uneven voltage distribution in the water channel and lead to discharge flashover failures of the converter valve equipment, seriously affecting the safe and stable operation of the converter valve equipment.

[0004] At present, during the annual power outage maintenance, the health status of the platinum electrodes is measured by draining the valve tower and manually disassembling the platinum electrodes to assess whether all platinum electrodes need to be overhauled and descaled. However, this method not only has the disadvantages of wasting precious power outage time due to large amounts of drainage, cumbersome operation steps, and high process requirements, but also the frequent disassembly of the platinum electrodes may lead to secondary problems such as improper installation and thread stripping. Summary of the invention

[0005] The purpose of the present invention is to provide a water channel electrode health status assessment method and a computer system to solve the technical problem of complicated operation steps in the health status assessment of water channel electrodes in the prior art.

[0006] In order to solve the above technical problems, the present invention provides a technical solution of a water channel electrode health status assessment method: a water channel electrode health status assessment method, the method comprising:

[0007] S1, scanning the electrode to be evaluated by X-ray machine;

[0008] S2. Acquire parameters related to health status assessment parameters of the water channel electrode according to the energy change of X-rays during the X-ray imaging process, and calculate the health status assessment parameters of the water channel electrode according to the acquired related parameters; the health status assessment parameters include the scale thickness of the water channel electrode;

[0009] S3. Evaluate the health status of the water channel electrodes according to the health status evaluation parameters.

[0010] The beneficial effect of the above technical solution is that the technical solution of the water channel electrode health status assessment method of the present invention is a pioneering invention. The present invention uses an X-ray machine to scan the electrode to be assessed, obtains the health status assessment parameters of the electrode to be assessed, and then assesses the health status of the electrode through the health status assessment parameters. During the whole process, there is no need to disassemble the electrode, and there is no problem of cumbersome operation steps. The present invention solves the technical problem of cumbersome operation steps for water channel electrode health status assessment in the prior art.

[0011] Furthermore, the acquired parameters related to the scale thickness of the water channel electrode include: the actual length that the X-ray passes through, the initial X-ray energy, and the remaining energy after the X-ray penetrates the electrode.

[0012] Furthermore, the scale thickness of the water channel electrode is obtained according to the following formula:

[0013]

[0014] Among them, β is the scale thickness of the water channel electrode; ε is the molar attenuation coefficient of the X-ray; c is the concentration of sediment contaminated by the electrode; l is the actual length passed by the X-ray; μ is the linear attenuation coefficient of the X-ray; I0 is the initial X-ray energy; I is the remaining energy after the X-ray penetrates the electrode.

[0015] Furthermore, the health status assessment parameters also include a broken needle judgment function value for detecting a broken electrode needle phenomenon, and the obtained related parameter number of the broken needle judgment function value includes: the remaining energy after the X-ray penetrates the electrode.

[0016] Furthermore, the broken needle judgment function value is obtained according to the following formula:

[0017]

[0018] Among them, α is the broken needle judgment function value. When α is less than 0, it indicates that the electrode may be broken. α' is the broken needle judgment threshold. I is the remaining energy after the X-ray penetrates the electrode. μ is the linear attenuation coefficient of the X-ray. is the gradient of the X-ray photon density along the X-ray emission direction; σ is the noise interference received during the X-ray imaging process; Σ is the covariance matrix of the noise interference received by the imaging area during the X-ray imaging process.

[0019] Furthermore, in S3, the health status of the electrode to be tested is evaluated by a health status evaluation value, and the health status evaluation value is obtained by weighting the scale layer thickness of the water channel electrode and the broken needle judgment function value.

[0020] Furthermore, if the health status evaluation value of the electrode to be evaluated is less than a preset health threshold, the health status of the electrode is considered to be high risk and an alarm signal is issued.

[0021] Furthermore, the method also includes: dividing the imaging area of ​​the X-ray machine into at least two sub-areas, obtaining parameters related to the health status assessment parameters of the water circuit electrode in each sub-area according to the energy change of the X-rays in each sub-area, and combining the health status assessment parameters of each sub-area as the health status assessment parameters of the water circuit electrode to be evaluated.

[0022] Furthermore, the health status assessment parameter also includes a broken needle judgment function value for detecting a broken electrode needle phenomenon, and the broken needle judgment function value is obtained according to the following formula:

[0023]

[0024] Among them, α i is the broken needle judgment function value of the i-th sub-area, when α i When it is less than 0, it indicates that the electrode in this area may be broken; α' is the threshold for judging the broken needle; I i is the X-ray energy after passing through the i-th sub-region; μ i It is expressed as the linear attenuation coefficient of X-ray passing through the i-th sub-region; is the gradient of the photon density of X-rays passing through the i-th sub-region along the X-ray emission direction; σ i is the noise interference received by the i-th sub-region during the X-ray imaging process; Σ is the covariance matrix of the noise interference received by the imaging region during the X-ray imaging process; n is the number of sub-regions.

[0025] The present invention also provides a technical solution for a computer system: a computer system comprising a processor, wherein the processor is used for a computer program to implement the steps of the water channel electrode health status assessment method as described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a method flow chart of an embodiment of a method for evaluating the health status of a waterway electrode of the present invention;

[0027] Figure 2Schematic diagram of the software architecture in the embodiment of the water channel electrode health status assessment method of the present invention. DETAILED DESCRIPTION

[0028] In the prior art, when evaluating the health status of waterway electrodes, it is usually necessary to drain the water in the waterway, disassemble the electrodes and manually evaluate them. On the one hand, this method is cumbersome and time-consuming; on the other hand, it is generally a spot check measurement, which may miss the equipment that really needs maintenance. The present invention uses an X-ray machine to scan the electrodes to be evaluated, obtain the health status evaluation parameters of the electrodes to be evaluated, and then evaluate the health status of the electrodes based on the health status evaluation parameters. During the entire process, there is no need to disassemble the electrodes, and there is no problem of cumbersome operating steps. The present invention solves the technical problem of cumbersome operating steps for evaluating the health status of waterway electrodes in the prior art.

[0029] Example of water channel electrode health status assessment method:

[0030] A method for evaluating the health status of waterway electrodes, such as Figure 1 As shown, the method comprises the following steps:

[0031] S1. Scan the electrode to be evaluated using an X-ray machine.

[0032] In this embodiment, the imaging area of ​​the X-ray machine is divided into several sub-areas, and each sub-area is numbered as: 1, 2, 3, ..., n; n ≥ 1. The parameters related to the health status assessment parameters of the water path electrode in each sub-area are obtained according to the energy change of the X-rays in each sub-area, and the health status assessment parameters of each sub-area are combined as the health status assessment parameters of the water path electrode to be evaluated.

[0033] The imaging area of ​​the X-ray machine is divided into several sub-areas, and the broken needle detection and scale thickness measurement of specific parts of the water channel platinum electrode can be carried out through each sub-area, which improves the efficiency and accuracy of the detection process and ensures that the detection data of each area can be accurately recorded and analyzed, which helps to quickly identify problem areas in subsequent maintenance and repair work, thereby shortening downtime and improving the overall operating efficiency of the equipment.

[0034] Specifically, in this embodiment, the electrode to be evaluated is a platinum electrode probe designed to be inserted into the water channel of the converter valve tower.

[0035] S2. Obtain parameters related to the health status assessment parameters of the water channel electrode according to the energy change of the X-rays during the X-ray imaging process, and calculate the health status assessment parameters of the water channel electrode according to the obtained related parameters.

[0036] The health status assessment parameters of this embodiment include the scale layer thickness of the water channel electrode and the broken needle judgment function value used to detect the electrode broken needle phenomenon.

[0037] Specifically, the obtained parameters related to the scale thickness of the water channel electrode include: the actual length of the X-ray, the initial X-ray energy and the remaining energy after the X-ray penetrates the electrode. The obtained parameters related to the broken needle judgment function value include: the remaining energy after the X-ray penetrates the electrode.

[0038] In this embodiment, the broken needle judgment function value is:

[0039]

[0040] Among them, α i is the broken needle judgment function value of the i-th sub-area, when α i When it is less than 0, it indicates that the electrode in this area may be broken; α' is the threshold for judging the broken needle; I i is the X-ray energy after passing through the i-th sub-region; μ i It is expressed as the linear attenuation coefficient of X-ray passing through the i-th sub-region; P i is the photon density of X-rays passing through the i-th sub-region; σ i is the noise interference received by the i-th sub-region during the X-ray imaging process; Σ is the covariance matrix of the noise interference received by the imaging area during the X-ray imaging process.

[0041] It should be noted that in the above formula, The result is the vector σ i Subtract each element from

[0042]

[0043] Specifically, the needle breakage judgment threshold α' is a preset value used to determine what degree of abnormality or feature can be considered as a needle breakage phenomenon. During data analysis, any feature exceeding this threshold will be marked as a potential needle breakage (α i <0). The needle breakage judgment threshold α' is determined based on historical data and authoritative data thresholds. The needle breakage judgment function can identify abnormal points in the multidimensional feature space through statistical methods; by analyzing the multidimensional distribution of the image features of X-ray imaging, it is helpful to identify possible needle breakage phenomena.

[0044] The energy of the X-ray after detection, I, is expressed as the remaining energy after the X-ray penetrates the electrode, which will be reduced due to the interaction with the electrode. The linear attenuation coefficient μ of the X-ray for detection is expressed as the ratio of the intensity attenuation of the X-ray per unit length, which is related to the material of the electrode and the energy of the X-ray. The photon density P of the X-ray for detection describes the distribution density of X-ray photons per unit volume or unit area. Noise σ is expressed as a random signal generated during the X-ray imaging process, which will affect the image quality due to equipment, electrodes or environmental factors.

[0045] When the broken needle judgment function value α of a certain sub-area is a negative value, it indicates that the characteristics of a certain area in the observed X-ray image are significantly different from those of a normal electrode, that is, a broken needle phenomenon, and the system issues an alarm; when the broken needle judgment function value α of a certain sub-area is a positive value, it indicates that the characteristic difference between a certain area in the observed X-ray image and that of a normal electrode is within an acceptable range, that is, there is no obvious abnormality in the area.

[0046] The present invention improves the accuracy of identifying the broken needle phenomenon by quantitatively analyzing X-ray imaging data; through the broken needle judgment threshold, it effectively manages the uneven electrode performance caused by the broken electrode, thereby affecting the overall electrical performance; and provides data-based decision support, thereby enhancing the scientificity and objectivity of the decision.

[0047] The thickness of the scale layer of the water channel electrode is obtained according to the following formula:

[0048]

[0049] Among them, β i is the scale thickness of the ith sub-region; ε is the molar attenuation coefficient of X-rays; c i is the concentration of sediment contaminated by the electrode in the ith sub-region; l i is the actual length of the X-ray in the ith sub-region; μ i is represented by the linear attenuation coefficient of the X-ray passing through the i-th sub-region; I0 is represented by the initial X-ray energy; I i is the energy of the X-ray after passing through the i-th sub-region; I is the remaining energy of the X-ray after penetrating the electrode.

[0050] The molar attenuation coefficient ε of X-rays is expressed as the attenuation capacity of a substance to X-rays at a unit concentration, and is used to estimate the absorption capacity of the medium in the electrode to X-rays. The medium concentration c in the electrode is expressed as the concentration of the sediment in the area where the electrode is located. The actual length l that the X-rays pass through is expressed as the distance that the X-rays actually penetrate in the electrode material. The initial X-ray energy I0 is expressed as the energy of the X-rays emitted by the X-ray source (i.e., the X-ray machine). The X-ray energy I after detection is expressed as the remaining energy of the X-rays after they penetrate the electrode.

[0051] The molar attenuation coefficient ε can be used to analyze the absorption characteristics of X-rays at different energies, as well as the influence of different material compositions, which helps to more accurately predict and calculate the attenuation behavior of X-rays in platinum media; the linear attenuation coefficient can conduct a more in-depth study of the attenuation characteristics of different materials, different thicknesses, and different X-ray energies, thereby improving the accuracy and reliability of data acquisition.

[0052] The present invention achieves accurate measurement of deposit thickness and distribution by quantitatively analyzing data on the interaction between X-rays and electrodes; it can detect deposit problems at an early stage to prevent serious impact on electrode performance after deposits accumulate to a certain extent; based on data-driven analysis results, maintenance work can be arranged in advance to reduce unexpected downtime, and safety hazards that may be caused by deposits, such as overheating and short circuits, can be identified and handled in a timely manner.

[0053] In other embodiments, the imaging area of ​​the X-ray machine may not be divided into a plurality of sub-areas, but the imaging area of ​​the X-ray machine may be directly used as a whole for calculation. In this case, the thickness of the scale layer of the water channel electrode is obtained according to the following formula:

[0054]

[0055] Among them, β is the scale thickness of the water channel electrode; ε is the molar attenuation coefficient of the X-ray; c is the sediment concentration in the area where the electrode is located; l is the actual length that the X-ray passes through; μ is the linear attenuation coefficient of the X-ray; I0 is the initial X-ray energy; I is the remaining energy after the X-ray penetrates the electrode.

[0056] The broken needle judgment function value is obtained according to the following formula:

[0057]

[0058] Among them, α is the broken needle judgment function value. When α is less than 0, it indicates that the electrode may be broken. α' is the broken needle judgment threshold. I is the remaining energy after the X-ray penetrates the electrode. μ is the linear attenuation coefficient of the X-ray. P is the photon density of the X-ray. σ is the noise interference during the X-ray imaging process. Σ is the covariance matrix of the noise interference in the imaging area during the X-ray imaging process.

[0059] S3. Evaluate the health status of the water channel electrodes according to the health status evaluation parameters.

[0060] This embodiment evaluates the health status of the electrode to be tested according to the following health status evaluation model:

[0061]

[0062] Among them, γ is the health status evaluation value of the electrode to be evaluated; δ is the influencing parameter of the broken needle judgment function value detection process; ω1 is the weight of the broken needle judgment function value; τ is the influencing parameter of the scale layer thickness detection process; ω2 is the weight of the scale layer thickness; β i is the scale thickness of the ith sub-region.

[0063] If the health status evaluation value γ of the electrode to be evaluated is less than the preset health threshold, the health status of the electrode is considered to be high risk and an alarm signal is issued.

[0064] In other implementations, the health status parameter may only include the thickness of the scale layer of the water channel electrode. In this case, the health status evaluation value may only be evaluated based on the thickness of the scale layer of the water channel electrode.

[0065] Specifically, the influencing parameter δ of the broken needle judgment function value detection process is related to the following factors: the number, size, position and morphological characteristics of the broken needles; the morphological characteristics of the broken needles involve the shape of the fracture, the clarity of the edge or the damage around the broken needles. The influencing parameter τ of the scale thickness detection process is related to the following factors: the thickness, distribution uniformity, chemical composition and physical state of the deposits; the chemical composition of the deposits will affect its absorption capacity of X-rays, while the physical state will affect its effect on the electrode performance. Generally speaking, since the values ​​of δ and τ are relatively complex and difficult to determine, and the influence of δ and τ on the final result is small, δ and τ are generally ignored, that is, the values ​​of δ and τ are set to 1.

[0066] The present invention quantitatively evaluates the overall health status of the platinum electrode by considering multiple influencing factors. Through the health status evaluation model, the broken needle judgment function value and the sediment measurement function value and the corresponding weights are combined to obtain a comprehensive health evaluation value; by evaluating the health status of the platinum electrode, potential problems can be predicted and maintenance can be performed in advance, reducing the risk of accidents and ensuring the safety of personnel and equipment; through accurate health evaluation, maintenance cycles can be reasonably arranged to avoid premature replacement or excessive maintenance, thereby extending the service life of the platinum electrode.

[0067] The health status assessment value γ of the electrode to be evaluated is compared with the preset health threshold. If the health status assessment value γ of the electrode to be evaluated is less than the preset health threshold, the target detection area is marked as a high-risk area, and the alarm system is automatically triggered to notify the technician or system administrator to perform priority maintenance or repair work.

[0068] The method of this embodiment can be based on Figure 2 The software architecture shown is implemented, including:

[0069] Electrode inspection area division module: used to record the imaging area of ​​the water channel platinum electrode through the X-ray machine as the target measurement area, and subdivide the target measurement area into several sub-areas, and number each sub-area, marked as 1, 2, ..., n; n ≥ 1.

[0070] Electrode broken needle data acquisition module: used to obtain data related to the electrode broken needle phenomenon during X-ray imaging of the target measurement area, and transmit these data to the electrode broken needle data analysis module.

[0071] Electrode broken needle data analysis module: used to analyze the target detection area related data transmitted by the electrode broken needle data acquisition module, generate a broken needle judgment function, and transmit it to the comprehensive electrode health assessment module.

[0072] Platinum deposit data acquisition module: used to obtain data related to electrode deposits during X-ray imaging of the target measurement area and transmit these data to the platinum deposit data analysis module.

[0073] Platinum deposit data analysis module: used to analyze the target detection area related data transmitted by the electrode deposit data acquisition module, generate the deposit measurement function, and transmit it to the comprehensive electrode health assessment module.

[0074] Comprehensive electrode health assessment module: used to analyze the broken needle judgment function value transmitted by the electrode broken needle data analysis module and the deposit measurement function value transmitted by the platinum deposit data analysis module, establish a comprehensive electrode health assessment model, and transmit it to the non-destructive testing report module to generate a non-destructive testing report.

[0075] Nondestructive testing report module: used to analyze the health status of the comprehensive electrode and point out any abnormalities or defects found during the test to form a nondestructive testing report.

[0076] The non-destructive testing report module promotes condition-based maintenance rather than just time-based maintenance, thereby improving resource utilization efficiency by comparing the comprehensive electrode health assessment value of the target inspection area with the preset threshold value; through detailed non-destructive testing reports, recording test results, assessment values, abnormalities found and recommended actions, it prevents failures and reduces emergency repairs, thereby reducing long-term operating costs; through rapid response and maintenance, production interruptions can be minimized and downtime can be reduced.

[0077] Computer System Embodiment:

[0078] A computer system includes a processor, the processor is used to execute a computer program to implement the steps of the water channel electrode health status assessment method as described above, the method includes: S1, scanning the electrode to be assessed by an X-ray machine; S2, obtaining parameters related to the water channel electrode health status assessment parameters according to the energy change of the X-rays during the X-ray imaging process, and calculating the water channel electrode health status assessment parameters according to the obtained related parameters; the health status assessment parameters include the scale layer thickness of the water channel electrode; S3, assessing the health status of the water channel electrode according to the health status assessment parameters. Specifically, the water channel electrode health status assessment method has been introduced in sufficient detail in the above-mentioned water channel electrode health status assessment method embodiment, and will not be repeated here.

[0079] The present invention has the following characteristics:

[0080] 1. The present invention uses an X-ray machine to detect broken needles and measure the thickness of the scale layer at specific locations of the water channel platinum electrode, thereby evaluating the health status of the water channel platinum electrode, improving the efficiency and accuracy of the evaluation process, and improving the overall operating efficiency of the equipment.

[0081] 2. The present invention improves the accuracy of identifying the broken needle phenomenon by quantitatively analyzing X-ray imaging data.

[0082] 3. The present invention effectively manages the uneven electrode performance caused by electrode breakage through a preset needle breakage threshold, provides data-based decision support, and enhances the scientificity and objectivity of decision-making.

[0083] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention is described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions recorded in the aforementioned embodiments without creative work, or replace some of the technical features therein with equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for evaluating the health status of waterway electrodes, characterized in that: The method includes: S1, scanning the electrode to be evaluated by X-ray machine; S2. Acquire parameters related to health status assessment parameters of the water channel electrode according to the energy change of X-rays during the X-ray imaging process, and calculate the health status assessment parameters of the water channel electrode according to the acquired related parameters; the health status assessment parameters include the scale thickness of the water channel electrode; S3. Evaluate the health status of the water channel electrodes according to the health status evaluation parameters.

2. The water channel electrode health status assessment method according to claim 1, characterized in that: The obtained parameters related to the scale thickness of the water channel electrode include: the actual length passed by the X-ray, the initial X-ray energy and the remaining energy after the X-ray penetrates the electrode.

3. The water channel electrode health status assessment method according to claim 2, characterized in that: The thickness of the scale layer of the water channel electrode is obtained according to the following formula: Among them, β is the scale thickness of the water channel electrode; ε is the molar attenuation coefficient of the X-ray; c is the concentration of sediment contaminated by the electrode; l is the actual length passed by the X-ray; μ is the linear attenuation coefficient of the X-ray; I0 is the initial X-ray energy; I is the remaining energy after the X-ray penetrates the electrode.

4. The water channel electrode health status assessment method according to claim 1, characterized in that: The health status assessment parameters also include a broken needle judgment function value for detecting a broken electrode needle phenomenon, and the obtained related parameter number of the broken needle judgment function value includes: the remaining energy after the X-ray penetrates the electrode.

5. The water channel electrode health status assessment method according to claim 4, characterized in that: The broken needle judgment function value is obtained according to the following formula: Among them, α is the broken needle judgment function value. When α is less than 0, it indicates that the electrode may be broken. α' is the broken needle judgment threshold. I is the remaining energy after the X-ray penetrates the electrode. μ is the linear attenuation coefficient of the X-ray. ▽P is the gradient of the photon density of the X-ray along the X-ray emission direction. σ is the noise interference during the X-ray imaging process. Σ is the covariance matrix of the noise interference in the imaging area during the X-ray imaging process.

6. The water channel electrode health status assessment method according to claim 4, characterized in that: In S3, the health status of the electrode to be tested is evaluated by the health status evaluation value, and the health status evaluation value is obtained by weighting the scale layer thickness of the water channel electrode and the broken needle judgment function value.

7. The water channel electrode health status assessment method according to claim 6, characterized in that: If the health status assessment value of the electrode to be assessed is less than the preset health threshold, the health status of the electrode is considered to be high risk and an alarm signal is issued.

8. The water channel electrode health status assessment method according to any one of claims 1 to 7, characterized in that: The method also includes: dividing the imaging area of ​​the X-ray machine into at least two sub-areas, obtaining parameters related to the health status assessment parameters of the water circuit electrode in each sub-area according to the energy change of the X-rays in each sub-area, and combining the health status assessment parameters of each sub-area as the health status assessment parameters of the water circuit electrode to be assessed.

9. The water channel electrode health status assessment method according to claim 8, characterized in that: The health status assessment parameter also includes a broken needle judgment function value for detecting a broken electrode needle phenomenon, and the broken needle judgment function value is obtained according to the following formula: Among them, α i is the broken needle judgment function value of the i-th sub-area, when α i When it is less than 0, it indicates that the electrode in this area may be broken; α' is the threshold for judging the broken needle; I i is the X-ray energy after passing through the i-th sub-region; μ i It is expressed as the linear attenuation coefficient of X-ray passing through the i-th sub-region; ▽P i is the gradient of the photon density of X-rays passing through the i-th sub-region along the X-ray emission direction; σ i is the noise interference received by the i-th sub-region during the X-ray imaging process; Σ is the covariance matrix of the noise interference received by the imaging region during the X-ray imaging process; n is the number of sub-regions.

10. A computer system comprising a processor, characterized in that: The processor is used for a computer program to implement the steps of the waterway electrode health status assessment method as claimed in any one of claims 1 to 9.

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