CN-120636597-B - Method and system for predicting service life of oxygen evolution type titanium-based anode

CN120636597BCN 120636597 BCN120636597 BCN 120636597BCN-120636597-B

Abstract

The application relates to the technical field of electrochemistry, in particular to a life prediction method and a system of an oxygen-evolution type titanium-based anode, wherein the method comprises the steps of modeling the initial surface element distribution of the oxygen-evolution type titanium-based anode to generate an initial element concentration matrix; the method comprises the steps of collecting element change distribution data of the oxygen-evolution type titanium-based anode put into electrolysis operation to generate element migration indexes, generating a migration behavior evolution model and a migration hot spot analysis model to generate a fusion prediction model, generating a prediction critical life according to the fusion prediction model and a preset pre-failure threshold value, and generating an anode life early warning signal according to the prediction critical life. The method can improve the timeliness and the spatial precision of the anode life prediction, has remarkable advantages in the aspects of capturing non-uniform degradation and early local failure, overcomes the limitation that the existing method depends on a macroscopic single index and neglects microscopic evolution consistency, and has good engineering adaptability and popularization prospect.

Inventors

CAI TIANXIAO
YU XUEYAN
CUI LIU
Liu Runxian

Assignees

陕西恒悦材料科技有限公司

Dates

Publication Date: 20260512
Application Date: 20250613

Claims (8)

1. A method for predicting the life of an oxygen evolution titanium-based anode, the method comprising: Modeling the initial surface element distribution of the anode of the oxygen evolution type titanium-based anode to generate an initial element concentration matrix; Collecting element change distribution data of the oxygen-evolution titanium-based anode put into electrolysis operation, and generating element migration indexes according to the element change distribution data; Generating a migration behavior evolution model and a migration hot spot analysis model according to the element migration index, and generating a fusion prediction model according to the migration behavior evolution model and the migration hot spot analysis model, wherein the method comprises the following steps: Generating a migration behavior evolution model according to the element migration index; generating a migration hot spot analysis model according to the new element distribution matrix in the element variation distribution data; generating a fusion prediction model according to the migration behavior evolution model and the migration hot spot analysis model; Generating a predicted critical life according to the fusion prediction model and a preset pre-failure threshold value, and generating an anode life early warning signal according to the predicted critical life; The element variation distribution data comprises a plurality of new element distribution matrixes; collecting element change distribution data of the oxygen evolution type titanium-based anode put into electrolysis operation, generating element migration indexes according to the element change distribution data, and comprising the following steps: after the anode is put into electrolysis operation, sampling and detecting surface element components of the oxygen-evolving type titanium-based anode based on preset working time, and obtaining a new element distribution matrix, wherein one sampling and detecting corresponds to one new element distribution matrix; And comparing the difference between each new element distribution matrix and the initial element concentration matrix, and generating an element migration index.
2. The method for predicting the lifetime of an oxygen evolution titanium-based anode according to claim 1, wherein comparing each of the new element distribution matrices with the initial element concentration matrix differently and generating an element migration index, comprises: performing difference comparison on each new element distribution matrix and the initial element concentration matrix to obtain concentration variation of element concentration of each micro-region; Constructing an element migration track matrix according to each concentration variation; and generating an element migration index according to the element migration track matrix.
3. The method for predicting the lifetime of an oxygen evolution titanium-based anode according to claim 1, wherein modeling the initial surface element distribution of the oxygen evolution titanium-based anode to generate an initial element concentration matrix comprises: Scanning an oxygen evolution type titanium-based anode based on a preset element scanning device, and obtaining an effective working surface of the anode; grid division is carried out according to the effective working surface of the anode, and a plurality of grid units are obtained; detecting the element concentration of each grid unit and acquiring element concentration data; and carrying out anode initial surface element distribution modeling according to the element concentration data to generate an initial element concentration matrix.
4. The method for predicting the lifetime of an oxygen evolution type titanium-based anode according to claim 1, wherein generating a predicted critical lifetime according to the fusion prediction model and a preset pre-failure threshold, and generating an anode lifetime early warning signal according to the predicted critical lifetime, comprises: Generating a critical life time point according to a prediction output result output by the fusion prediction model and a preset pre-failure threshold value; generating a predicted critical life according to the current time and the critical life time point; And generating an anode life early warning signal according to the predicted critical life.
5. The method for predicting the lifetime of an oxygen evolving titanium-based anode according to claim 4, wherein generating an anode lifetime warning signal based on the predicted critical lifetime comprises: generating life early warning intensity according to the predicted critical life; And generating an anode life early-warning signal according to the life early-warning intensity.
6. The system employed in the method for predicting the lifetime of an oxygen evolving titanium-based anode according to claim 1, characterized in that the system comprises: the initial element matrix generation module is used for modeling the initial surface element distribution of the anode of the oxygen evolution type titanium-based anode to generate an initial element concentration matrix; The element migration index generation module is used for collecting element change distribution data of the oxygen evolution type titanium-based anode put into electrolysis operation and generating element migration indexes according to the element change distribution data; The fusion prediction model generation module is used for generating a migration behavior evolution model and a migration hot spot analysis model according to the element migration index, and generating a fusion prediction model according to the migration behavior evolution model and the migration hot spot analysis model; And the life early warning signal generation module is used for generating a predicted critical life according to the fusion prediction model and a preset pre-failure threshold value and generating an anode life early warning signal according to the predicted critical life.
7. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 5 when the computer program is executed.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 5.

Description

Method and system for predicting service life of oxygen evolution type titanium-based anode Technical Field The application relates to the technical field of electrochemistry, in particular to a life prediction method and a system of an oxygen evolution type titanium-based anode. Background The oxygen-separating titanium-base anode is a high-performance electrode special for promoting oxygen separation reaction (OER) in the electrolytic process, is widely applied to industrial scenes such as electrochemical oxidation, water treatment, electroplating and the like, and has the core characteristics that the oxygen separation reaction mainly occurs in the anode reaction, oxygen is released from the surface of the anode in the electrolytic process, and the service life of the anode has direct influence on the running stability and economy of an electrolytic system. In the prior art, the life prediction of the existing oxygen-evolution type titanium-based anode is very important, and the anode can be replaced or maintained in advance by predicting the life of the oxygen-evolution type titanium-based anode, so that the problems of equipment shutdown, product quality fluctuation and the like are avoided. The conventional life prediction method is mostly based on single parameter estimation modes such as macroscopic voltage drift, single-point current density change or total electrolysis time statistics, lacks system analysis on the microscopic evolution process of the anode material, and cannot effectively cope with nonlinear degradation behaviors caused by coating falling, element migration and local structure instability in the oxygen evolution process. In addition, some researches try to introduce an electrochemical model or multi-physical field simulation to estimate the service life, but two core defects generally exist, namely firstly, the element concentration matrix information in the initial state of anode manufacturing cannot be fully utilized, so that the model lacks structural relevance, secondly, the consistency of an evolution path between local areas on the surface of the anode cannot be identified and tracked, the local premature senility or abnormal migration areas are difficult to capture in time, early warning lag or false alarm rate is high, and engineering adaptation capability of the model is limited. Therefore, there is a need for a method and system for predicting the lifetime of oxygen evolving titanium-based anodes. Disclosure of Invention Based on the above, it is necessary to provide a method and a system for predicting the lifetime of an oxygen evolution type titanium-based anode, which can fully utilize an element concentration matrix, dynamically describe migration directions of elements in different areas in combination with a migration behavior evolution model, identify migration hot spot areas on the surface of the anode through a migration hot spot analysis model, finally infer a predicted critical lifetime and trigger a regional early warning mechanism through analyzing an index evolution trend, and realize trans-scale dynamic prediction from micro-area behaviors to global failures. The technical scheme of the invention is as follows: A method for predicting life of an oxygen evolution titanium-based anode, the method comprising: Modeling the initial surface element distribution of the anode of the oxygen evolution type titanium-based anode to generate an initial element concentration matrix; Collecting element change distribution data of the oxygen-evolution titanium-based anode put into electrolysis operation, and generating element migration indexes according to the element change distribution data; Generating a migration behavior evolution model and a migration hot spot analysis model according to the element migration index, and generating a fusion prediction model according to the migration behavior evolution model and the migration hot spot analysis model; and generating a predicted critical life according to the fusion prediction model and a preset pre-failure threshold value, and generating an anode life early warning signal according to the predicted critical life. Specifically, the element change distribution data includes a plurality of new element distribution matrices; collecting element change distribution data of the oxygen evolution type titanium-based anode put into electrolysis operation, generating element migration indexes according to the element change distribution data, and comprising the following steps: after the anode is put into electrolysis operation, sampling and detecting surface element components of the oxygen-evolving type titanium-based anode based on preset working time, and obtaining a new element distribution matrix, wherein one sampling and detecting corresponds to one new element distribution matrix; And comparing the difference between each new element distribution matrix and the initial element concentration matrix, and generating an elem