A method and system for preparing titanium anode with titanium-based oxide coating

Abstract

The present invention relates to the technical field of titanium-based oxide coated titanium anode preparation, a titanium-based oxide coated titanium anode preparation method and system, comprising: performing a branch growth according to a branch branch length sequence and a branch relative angle sequence, constructing branches and leaves of the growing branch according to performance index values, obtaining an iterative growth tree, judging whether the preparation data has been extracted, if not, re-extracting the preparation data, if the extraction is completed, performing secondary branch growth on the first complete growth tree according to the demand index value, obtaining a second complete growth tree, identifying a preparation time-temperature sequence on the second complete growth tree, and preparing a titanium-based oxide coated titanium anode according to the preparation time-temperature sequence. The present invention can solve the problems of large human resource consumption and low optimization efficiency in the current single index performance optimization process of titanium-based oxide coated titanium anodes.

Description

Technical Field

[0001] The invention relates to the technical field of titanium anode preparation with titanium-based oxide coating, and in particular to a method, system, electronic equipment and computer-readable storage medium for preparing titanium anode with titanium-based oxide coating. Background Art

[0002] Titanium-based oxide-coated titanium anode is widely used in chlor-alkali industry, hydrometallurgy, electroplating, water treatment and electrosynthesis. It is a coated electrode with titanium as the matrix and precious metal oxide as the main active component coated on its surface.

[0003] The current methods for preparing titanium-based oxide-coated titanium anodes include thermal decomposition, sol-gel, sputtering, and electroplating. Among them, thermal decomposition is the most widely used preparation method, and the preparation process of thermal decomposition mainly includes: coating, baking, sintering, cooling, annealing, cooling and other steps. At present, in order to optimize the single performance index of titanium-based oxide-coated titanium anodes, the more conventional orthogonal test method is generally used to test out titanium-based oxide-coated titanium anodes with better single performance indexes, but this method requires a lot of human resources. Therefore, the current single index performance optimization process of titanium-based oxide-coated titanium anodes has the problems of high human resource consumption and low optimization efficiency. Summary of the invention

[0004] The present invention provides a method for preparing a titanium anode coated with a titanium-based oxide and a computer-readable storage medium, the main purpose of which is to solve the problems of high human resource consumption and low optimization efficiency in the current single-index performance optimization process of a titanium anode coated with a titanium-based oxide.

[0005] To achieve the above-mentioned purpose, the present invention provides a method for preparing a titanium anode with a titanium-based oxide coating, comprising: obtaining a preparation data set of a titanium anode with a titanium-based oxide coating; extracting preparation data in the preparation data set in sequence, extracting a preparation time sequence, a preparation temperature sequence and a performance index value in the preparation data, and calculating a tree branch length sequence and a tree branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively; performing a tree branch growth on the preparation data according to the tree branch length sequence and the tree branch relative angle sequence to obtain a growth tree, constructing branches and leaves of the growth tree according to the performance index value to obtain an iterative growth tree; judging the preparation data set preparation time sequence, a preparation temperature sequence and a performance index value, and calculating a tree branch length sequence and a tree branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively; performing a tree branch growth on the preparation data according to the tree branch length sequence and the tree branch relative angle sequence to obtain a growth tree, and constructing branches and leaves of the growth tree according to the performance index value to obtain an iterative growth tree; judging the preparation data set preparation time sequence, a preparation temperature sequence and a performance index value, and calculating a tree branch length sequence and a tree branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively; Whether the data extraction is complete; if the preparation data in the preparation data set has not been extracted, return to the above step of extracting the preparation data in the preparation data set in sequence; if the preparation data in the preparation data set has been extracted, use the iterative growth tree as the first complete growth tree; obtain the demand index value, and identify the target branch and leaf pairs in the first complete growth tree according to the demand index value; perform secondary branch growth on the first complete growth tree according to the target branch and leaf pairs to obtain a second complete growth tree; identify the target branches and leaves on the second complete growth tree according to the demand index value, identify the preparation time-temperature sequence corresponding to the target branches and leaves, and prepare titanium-based oxide coated titanium anode according to the preparation time-temperature sequence.

[0006] Optionally, the calculating of the tree branch length sequence and the tree branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively includes: extracting the preparation time in sequence from the preparation time sequence, and calculating the tree branch length according to the preparation time by using the following formula to obtain the tree branch length sequence:

[0007] ,in, represents the branch length of the jth preparation process in the i-th preparation data, i represents the preparation data serial number, j represents the preparation time serial number or preparation temperature serial number of the preparation process, represents the branch length proportional coefficient of the jth preparation process, represents the preparation time of the jth preparation process in the i-th preparation data; extract the preparation temperatures in the preparation temperature sequence in sequence, and calculate the relative angle of the branches according to the preparation temperature using the following formula to obtain the relative angle sequence of the branches:

[0008] ,in, represents the relative angle of the branches of the jth preparation process in the i-th preparation data, represents the branch angle proportional coefficient of the jth preparation process, represents the preparation temperature of the jth preparation process in the i-th preparation data, Represents the growth intercept in radians.

[0009] Optionally, before calculating the branch branch length sequence and the branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively, the method further includes: obtaining a branch length threshold and a preparation time threshold of the j-th preparation process; and calculating a branch length proportional coefficient according to the branch length threshold and the preparation time threshold of the j-th preparation process using the following formula:

[0010] ,in, represents the tree branch length threshold of the j-th preparation process, Indicates the preparation time threshold of the j-th preparation process; obtains the branch angle threshold and the preparation temperature threshold of the j-th preparation process; and calculates the branch angle proportional coefficient according to the branch angle threshold and the preparation temperature threshold of the j-th preparation process using the following formula:

[0011] ,in, represents the preparation temperature threshold of the j-th preparation process, represents a branch angle threshold, wherein the branch angle threshold is expressed in radians.

[0012] Optionally, the method performs a branch growth on the preparation data according to the branch branch length sequence and the branch relative angle sequence to obtain the growing branch, including: obtaining the process temperature branch; extracting the branch branch length and the branch relative angle in the branch branch length sequence and the branch relative angle sequence respectively; determining the branch branch position on the process temperature branch according to the branch branch length; identifying the spatial growth direction of the process temperature branch, and calculating the axial absolute angle according to the spatial growth direction and the branch relative angle; randomly selecting the radial growth angle within the pre-constructed radial angle value range, wherein the radial angle value range is (0, 2 ); constructing an iterative time-temperature branch at the branch branching position according to the axial absolute angle and the radial growth angle; judging whether the branch branching length and the branch relative angle have been extracted; if the branch branching length and the branch relative angle have not been extracted, updating the process time-temperature branch with the iterative time-temperature branch, and returning to the above steps of extracting the branch branching length and the branch relative angle in the branch branching length sequence and the branch relative angle sequence respectively; if the branch branching length and the branch relative angle have been extracted, the growing branch is obtained.

[0013] Optionally, the method of identifying the target branch and leaf pairs in the first fully grown tree according to the demand index value includes: identifying the branch terminal branching sites in the first fully grown tree in turn, wherein the branch terminal branching site refers to the branch branch branching site directly connected to the branch and leaves; identifying the branch and leaf set on the branch terminal branching site, and identifying the co-position terminal value interval of the branch and leaf set; judging whether the demand index value belongs to the co-position terminal value interval; if the demand index value does not belong to the co-position terminal value interval, returning to the above-mentioned step of identifying the branch terminal branching sites in turn in the first fully grown tree; if the demand index value belongs to the co-position terminal value interval, taking the branch and leaf set as the first branch and leaf set to obtain multiple groups of first branch and leaf sets; in the first fully grown tree Identify pairs of adjacent branching branches and leaves at the same angle in the growth tree in sequence, wherein the pair of adjacent branching branches and leaves at the same angle refers to two branches and leaves with the same axial absolute angle and adjacent branching sites at the end of the tree branches; identify the adjacent value interval of the pair of adjacent branching branches and leaves at the same angle; determine whether the required index value belongs to the adjacent value interval; if the required index value does not belong to the adjacent value interval, return to the above step of identifying adjacent branching branches and leaves at the same angle in sequence in the first complete growth tree; if the required index value belongs to the adjacent value interval, use the adjacent branching branches and leaves at the same angle as the second branch pair to obtain multiple groups of second branch pairs; based on the multiple groups of first branch sets and the multiple groups of second branch pairs, use the required index value to identify the target branch pair in the first complete growth tree.

[0014] Optionally, the method of identifying target branch and leaf pairs in the first fully grown tree using the required index value according to multiple groups of first branch and leaf sets and multiple groups of second branch and leaf pairs includes: extracting the first branch and leaf sets in sequence from the multiple groups of first branch and leaf sets, extracting the first branch and leaf pair of the required index value from the first branch and leaf set, identifying the first adjacent index value pair of the first branch and leaf pair, and obtaining multiple groups of first adjacent index value pairs; extracting the second branch and leaf pairs in sequence from the multiple groups of second branch and leaf pairs, identifying the second adjacent index value pair of the second branch and leaf pair, and obtaining multiple groups of second adjacent index value pairs; and using a pre-constructed distance formula to respectively calculate the first adjacent distance set and the second adjacent distance set in the multiple groups of first adjacent index value pairs and the multiple groups of second adjacent index value pairs, wherein the distance formula is as follows:

[0015] ,in, represents the first adjacent distance of the first adjacent index value pair of the pth group, represents the first adjacent index value in the first adjacent index value pair of the pth group, represents the second adjacent index value in the first adjacent index value pair of the pth group, represents the second adjacent distance of the qth group of second adjacent index value pairs, represents the first adjacent index value in the qth group of second adjacent index value pairs, represents the second adjacent index value in the qth group of second adjacent index value pairs, Represents an absolute value symbol; identifies the minimum adjacent distance in the first adjacent distance set and the second adjacent distance set; identifies the target adjacent index value pair corresponding to the minimum adjacent distance, and identifies the target branch-leaf pair corresponding to the target adjacent index value pair.

[0016] Optionally, the method of performing secondary branch growth on the first fully grown tree according to the target branch and leaf pair to obtain a second fully grown tree includes: obtaining branch and leaf relationship attributes and overlapping preparation paths of the target branch and leaf pair; if the branch and leaf relationship attributes are preset co-located terminal branches and leaves, performing a preparation test of the coated titanium anode according to the overlapping preparation path and the preset preparation temperature gradient to obtain a test index value set; extracting test index values ​​in the test index value set in sequence, identifying the preparation temperature of the test index value, and calculating the test relative angle of the preparation temperature; identifying the target terminal branching site of the target branch and leaf pair, and constructing a terminal time-temperature tree branch at the target terminal branching site according to the test relative angle; constructing test branches and leaves according to the test index values, and linking the test branches and leaves to the The terminal time-temperature tree branch is obtained to obtain a second fully grown tree; if the branch-leaf relationship attribute is the preset adjacent branches and leaves at the same angle, the preparation test of the coated titanium anode is carried out according to the overlapping preparation path and the preset preparation time gradient to obtain a test index value set; the test index values ​​are extracted in sequence from the test index value set, the preparation time of the test index value is identified, and the test tree branch length of the preparation time is calculated; the upper branching site and the target axial absolute angle of the target branch-leaf pair are identified, and the target terminal branching site is calculated according to the upper branching site and the test tree branch length; the terminal time-temperature tree branch is constructed according to the target terminal branching site and the target axial absolute angle; the test branches and leaves are constructed according to the test index values, and the test branches and leaves are linked to the terminal time-temperature tree branch to obtain a second fully grown tree.

[0017] Optionally, identifying target branches and leaves on the second fully grown tree according to the required index value includes: extracting test branches and leaves in sequence in the second fully grown tree to obtain test index values ​​corresponding to the test branches and leaves; calculating the performance index difference between the test index value and the required index value to obtain a performance index difference set; extracting the minimum index difference from the performance index difference set to identify the target branches and leaves corresponding to the minimum index difference.

[0018] Optionally, the identifying of the preparation time-temperature sequence corresponding to the target branches and leaves includes: extracting the target branch length sequence and target relative angle sequence of the target branches and leaves in the second fully grown tree; identifying the target preparation time sequence and target preparation temperature sequence corresponding to the target branch length sequence and target relative angle sequence; and constructing a preparation time-temperature sequence according to the target preparation time sequence and target preparation temperature sequence.

[0019] To achieve the above-mentioned purpose, the present invention also provides a titanium-based oxide coated titanium anode preparation system, comprising: a first fully grown tree growth module, used to obtain a preparation data set of a titanium-based oxide coated titanium anode; extracting preparation data in the preparation data set in sequence, extracting a preparation time sequence, a preparation temperature sequence and a performance index value in the preparation data, and calculating a tree branch length sequence and a tree branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively; performing a tree branch growth on the preparation data according to the tree branch length sequence and the tree branch relative angle sequence to obtain a growth tree, and constructing branches and leaves of the growth tree according to the performance index value to obtain an iterative growth tree; judging whether the preparation data in the preparation data set has been extracted; if the preparation If the preparation data in the data set has not been extracted completely, return to the above-mentioned step of extracting the preparation data in the preparation data set in sequence; if the preparation data in the preparation data set has been extracted completely, use the iterative growth tree as the first complete growth tree; a target branch and leaf pair identification module is used to obtain the demand index value, and identify the target branch and leaf pairs in the first complete growth tree according to the demand index value; a second complete growth tree growth module is used to perform secondary branch growth on the first complete growth tree according to the target branch and leaf pairs to obtain a second complete growth tree; a titanium-based oxide coated titanium anode preparation module is used to identify the target branches and leaves on the second complete growth tree according to the demand index value, identify the preparation time-temperature sequence corresponding to the target branches and leaves, and prepare the titanium-based oxide coated titanium anode according to the preparation time-temperature sequence.

[0020] In order to solve the above problems, the present invention also provides an electronic device, which includes: a memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the above-mentioned method for preparing a titanium anode with a titanium-based oxide coating.

[0021] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. The at least one instruction is executed by a processor in an electronic device to implement the above-mentioned method for preparing a titanium anode with a titanium-based oxide coating.

[0022] In order to solve the problem described in the background technology, the present invention first needs to obtain a preparation data set of titanium-based oxide coated titanium anodes. Since it is necessary to construct a first complete growth tree based on the preparation data set, it is necessary to calculate the branch branch length sequence and the branch relative angle sequence based on the preparation time sequence and the preparation temperature sequence in the preparation data, and then perform a branch growth on the preparation data based on the branch branch length sequence and the branch relative angle sequence to obtain a growing branch. Since each preparation data corresponds to a performance index value, the branches and leaves of the growing branch can be constructed according to the performance index value to obtain an iterative growth tree. Since each preparation data in the preparation data set can construct a growing branch and branches and leaves, it is necessary to determine whether the preparation data in the preparation data set has been extracted. If the preparation data in the preparation data set has not been extracted, it is necessary to re-extract the preparation data, and re-construct the growing branch and leaves based on the preparation data. Branches and leaves, if the preparation data extraction in the preparation data set is completed, the iterative growth tree is directly used as the first complete growth tree. The present invention constructs the first complete growth tree through the existing preparation data set, which greatly reduces the workload of the experiment. At this time, since the performance index value in the first complete growth tree may have a large error with the required index value, it is necessary to further optimize the preparation process parameters of the titanium-based oxide coated titanium anode. First, the target branch and leaf pairs can be directly identified in the first complete growth tree according to the required index value, and then the second branch growth is performed on the first complete growth tree according to the target branch and leaf pair to obtain the second complete growth tree. In this way, the test range can be narrowed to the process preparation parameter interval of the target branch and leaf pair, and finally the target branches and leaves are identified on the second complete growth tree according to the required index value, and the preparation time-temperature sequence corresponding to the target branches and leaves is identified, so that the titanium-based oxide coated titanium anode can be prepared according to the preparation time-temperature sequence. Therefore, the present invention can solve the problems of large human resource consumption and low optimization efficiency in the current single index performance optimization process of the titanium-based oxide coated titanium anode. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic flow chart of a method for preparing a titanium anode with a titanium-based oxide coating provided in one embodiment of the present invention; Figure 2 A functional module diagram of a titanium anode preparation system for a titanium-based oxide coating provided in one embodiment of the present invention; Figure 3 A schematic structural diagram of an electronic device for implementing the method for preparing a titanium anode with a titanium-based oxide coating provided in one embodiment of the present invention.

[0024] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0025] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0026] The embodiment of the present application provides a method for preparing a titanium anode with a titanium-based oxide coating. The execution subject of the method for preparing a titanium anode with a titanium-based oxide coating includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for preparing a titanium anode with a titanium-based oxide coating can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0027] Reference Figure 1 FIG. 1 is a schematic flow chart of a method for preparing a titanium anode coated with a titanium-based oxide according to an embodiment of the present invention. In this embodiment, the method for preparing a titanium anode coated with a titanium-based oxide comprises: S1, obtaining a preparation data set of a titanium anode coated with a titanium-based oxide.

[0028] It can be explained that the titanium-based oxide coated titanium anode refers to the electrode material after the titanium anode oxide coating is prepared on the titanium substrate. The general preparation methods of titanium-based metal oxide anodes include thermal decomposition, sol-gel, sputtering and electroplating, etc. In practical applications, thermal decomposition is a relatively mature and widespread technology. The preparation data set refers to the existing preparation data set of titanium-based metal oxide coated titanium anodes. The preparation data may include: preparation process sequence, preparation temperature under each preparation process, preparation time under each preparation process, and various performance index values ​​of the prepared titanium-based metal oxide coated titanium anode. The performance index values ​​may include: electrochemical impedance, oxygen evolution capacity, oxygen evolution overpotential, and electrode electrocatalytic activity, etc.

[0029] S2. Extracting preparation data in sequence from the preparation data set, extracting a preparation time sequence, a preparation temperature sequence and a performance index value from the preparation data, and calculating a tree branch length sequence and a tree branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence, respectively.

[0030] It can be understood that the preparation time sequence refers to a sequence composed of the preparation time of each preparation process in the preparation data, and the preparation temperature sequence refers to a sequence composed of the preparation temperature of each preparation process in the preparation data. The performance indicator value can be extracted according to user needs. For example, when the user needs to obtain a coated titanium anode with optimal electrochemical impedance, the performance indicator value can be determined as electrochemical impedance.

[0031] Furthermore, the branch branch length sequence refers to a sequence of distances from a branch branch point to the branch branch point of the previous level, and the branch relative angle sequence refers to a sequence of branch branch angles (i.e., the relative angle of a branch relative to the branch of the previous level where its branch branch point is located).

[0032] For example, when the branch point closest to the ground on the trunk is (0, 0, 3m), a branch grows from the branch point, and the first branch point of the branch is (1m, 2m, 3.2m), then the branch length of the first branch point is m, the branch length of the nearest branch forking point is 3m, and the branch angle of the nearest branch forking point is .

[0033] In an embodiment of the present invention, the calculating of the branch branch length sequence and the branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively includes: extracting the preparation time in sequence from the preparation time sequence, and calculating the branch branch length according to the preparation time by using the following formula to obtain the branch branch length sequence:

[0034] ,in, represents the branch length of the jth preparation process in the i-th preparation data, i represents the preparation data serial number, j represents the preparation time serial number or preparation temperature serial number of the preparation process, represents the branch length proportional coefficient of the jth preparation process, represents the preparation time of the jth preparation process in the i-th preparation data; extract the preparation temperatures in the preparation temperature sequence in sequence, and calculate the relative angle of the branches according to the preparation temperature using the following formula to obtain the relative angle sequence of the branches:

[0035] ,in, represents the relative angle of the branches of the jth preparation process in the i-th preparation data, represents the branch angle proportional coefficient of the jth preparation process, represents the preparation temperature of the jth preparation process in the i-th preparation data, Represents the growth intercept in radians.

[0036] It can be explained that the preparation process refers to the process technology of the coated titanium anode. When the preparation method adopts thermal decomposition method, the preparation process can generally be divided into coating, baking, sintering, cooling, annealing, cooling, etc., among which coating, baking, sintering and cooling can be repeated many times.

[0037] Furthermore, the branch length proportional coefficient refers to a control coefficient set by the user in combination with the preparation time range of each preparation process in order to control the coordination of the growing branches. The growing branches can refer to the following embodiments. Similarly, the branch angle proportional coefficient is also a control coefficient set by the user in combination with the preparation temperature range of each preparation process in order to control the coordination of the growing branches. The growth intercept arc refers to the preset minimum relative angle of the branch. When the preparation temperature is 0 In order to avoid the spatial direction of a branch being the same as the spatial direction of the branch above it, a growth intercept arc can be set.

[0038] In the embodiment of the present invention, before calculating the branch branch length sequence and the branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively, the method further includes: obtaining the branch length threshold and the preparation time threshold of the j-th preparation process; and calculating the branch length proportional coefficient according to the branch length threshold and the preparation time threshold of the j-th preparation process using the following formula:

[0039] ,in, represents the tree branch length threshold of the j-th preparation process, Indicates the preparation time threshold of the j-th preparation process; obtains the branch angle threshold and the preparation temperature threshold of the j-th preparation process; and calculates the branch angle proportional coefficient according to the branch angle threshold and the preparation temperature threshold of the j-th preparation process using the following formula:

[0040] ,in, represents the preparation temperature threshold of the j-th preparation process, represents a branch angle threshold, wherein the branch angle threshold is expressed in radians.

[0041] It should be understood that the branch length threshold refers to the maximum branch length corresponding to each preparation process, the preparation time threshold refers to the maximum preparation time corresponding to each preparation process, the branch angle threshold refers to the maximum relative angle of the branch corresponding to each preparation process, and the preparation temperature threshold refers to the maximum preparation temperature corresponding to each preparation process. For example, when the preparation process is coating, the branch length threshold can be set to 5m, the preparation time threshold can be set to 1min, and the preparation temperature threshold can be set to 30 , the branch angle threshold can be set as When the preparation process is baking, the branch length threshold can be set to 1m, the preparation time threshold can be set to 20min, and the preparation temperature threshold can be set to 130 , the branch angle threshold can be set as The preparation time and preparation temperature of the coating preparation process can be respectively determined by the height of the branching point of the branch growing from the trunk of the first fully grown tree from the ground and the relative angle of the branch (relative to the spatial growth angle of the trunk, the spatial growth angle of the trunk can be set to ) is represented; the preparation time and preparation temperature of the baking preparation process can be represented by the branch branch length of the branch whose branch branch point is located on the branch representing the coating branch (the branch representing the preparation time and preparation temperature of the coating) and the branch relative angle of the branch (relative to the spatial growth angle of the coating branch), and the sintering, cooling, annealing, cooling and other steps are similar. It should be noted that the branch branch length is the distance between two adjacent branch branch points. The first fully grown tree can refer to the following embodiments.

[0042] S3. Perform a branch growth on the prepared data according to the branch branch length sequence and the branch relative angle sequence to obtain a growing branch, and construct branches and leaves of the growing branch according to the performance indicator value to obtain an iterative growing tree.

[0043] It can be understood that the primary branch growth refers to the connection of branches on the trunk according to the branch branch length sequence and branch relative angle sequence constructed according to the preparation data. The growing branches refer to the branches representing the preparation time and preparation temperature of each preparation process. The branches and leaves refer to the leaf nodes representing the performance index values ​​corresponding to the growing branches.

[0044] In an embodiment of the present invention, the method of performing a branch growth on the preparation data according to the branch branch length sequence and the branch relative angle sequence to obtain a growing branch includes: obtaining a process temperature branch; extracting the branch branch length and the branch relative angle in the branch branch length sequence and the branch relative angle sequence respectively; determining the branch branch position on the process temperature branch according to the branch branch length; identifying the spatial growth direction of the process temperature branch, and calculating the axial absolute angle according to the spatial growth direction and the branch relative angle; randomly selecting a radial growth angle within a pre-constructed radial angle value range, wherein the radial angle value range is (0, 2 ); constructing an iterative time-temperature branch at the branch branching position according to the axial absolute angle and the radial growth angle; judging whether the branch branching length and the branch relative angle have been extracted; if the branch branching length and the branch relative angle have not been extracted, updating the process time-temperature branch with the iterative time-temperature branch, and returning to the above steps of extracting the branch branching length and the branch relative angle in the branch branching length sequence and the branch relative angle sequence respectively; if the branch branching length and the branch relative angle have been extracted, the growing branch is obtained.

[0045] Furthermore, the process temperature branch represents a branch on a tree trunk or a growing branch. When the first branch branch length in the branch branch length sequence determines the branch branching position, the process temperature branch represents the trunk of the first fully grown tree. The spatial growth direction refers to the spatial three-dimensional orientation of the process temperature branch. The axial absolute angle refers to the spatial three-dimensional orientation of the branch grown on the process temperature branch. The radial growth angle refers to the radial direction angle of the iterative temperature branch growing on the process temperature branch relative to the axial direction when the spatial growth direction of the process temperature branch is the axial direction. Since the iterative temperature branch can be grown on the process temperature trunk The surrounding growth, so the radial angle range is 2 The iterative temperature tree branch refers to a tree branch determined according to the branch branching position, using the axial absolute angle and the radial growth angle. The initial length of the iterative temperature tree branch can be set to infinity. After the construction of the growing branch is completed, appropriate pruning can be performed (the branch branching position needs to be retained).

[0046] S4, judging whether the preparation data in the preparation data set has been extracted.

[0047] It should be understood that each preparation data in the preparation data set can construct a corresponding growth branch, so all the preparation data in the preparation data set need to be used to construct growth branches.

[0048] If the preparation data in the preparation data set has not been completely extracted, the process returns to the above step of sequentially extracting the preparation data in the preparation data set.

[0049] If the extraction of prepared data in the prepared data set is completed, S5 is executed to use the iterative growth tree as the first complete growth tree.

[0050] It can be understood that the first fully grown tree refers to a spatial three-dimensional tree obtained after completing the construction of a growth tree branch corresponding to each preparation data in the preparation data set.

[0051] S6. Obtain a demand index value, and identify a target branch-leaf pair in the first fully grown tree according to the demand index value.

[0052] It can be understood that the demand index value refers to the performance index value required by the user. When the performance index value is a polarization point, the demand index value can be 1.38 V. The target branch pair refers to two branches and leaves located at adjacent branch bifurcation sites or two branches and leaves located at the same branch bifurcation site that are closest to the demand index value.

[0053] In an embodiment of the present invention, the step of identifying target branch and leaf pairs in the first fully grown tree according to the demand index value includes: sequentially identifying branch terminal branching sites in the first fully grown tree, wherein the branch terminal branching sites refer to branch branch branching sites directly connected to branches and leaves; identifying the branch and leaf sets on the branch terminal branching sites, and identifying the co-located terminal value interval of the branch and leaf sets; determining whether the demand index value belongs to the co-located terminal value interval; if the demand index value does not belong to the co-located terminal value interval, returning to the above-mentioned step of sequentially identifying branch terminal branching sites in the first fully grown tree; if the demand index value belongs to the co-located terminal value interval, taking the branch and leaf set as the first branch and leaf set to obtain multiple groups of first branch and leaf sets; in the first In the fully grown tree, adjacent branching branch and leaf pairs with the same angle are identified in sequence, wherein the adjacent branching branch and leaf pairs with the same angle refer to two branches and leaves with the same axial absolute angle and adjacent branching sites at the end of the tree branches; the adjacent value intervals of the adjacent branching branch and leaf pairs with the same angle are identified; it is determined whether the required index value belongs to the adjacent value interval; if the required index value does not belong to the adjacent value interval, return to the above-mentioned step of sequentially identifying adjacent branch and leaf pairs with the same angle in the first fully grown tree; if the required index value belongs to the adjacent value interval, the adjacent branch and leaf pair with the same angle is used as the second branch and leaf pair to obtain multiple groups of second branch and leaf pairs; according to the multiple groups of first branch and leaf sets and the multiple groups of second branch and leaf pairs, the target branch and leaf pairs are identified in the first fully grown tree using the required index value.

[0054] It can be explained that the branch terminal branching site refers to the branch branching site directly connected to the tree branches and leaves, that is, the last branch branching site of each growing branch in the first fully grown tree. There may be one branch and leaf at the branch terminal branching site, or there may be multiple branches and leaves. The same-position terminal value interval refers to the performance index value interval of the set of branches and leaves located at the same branch terminal branching site. The same-angle adjacent value interval refers to the interval composed of the performance index values ​​corresponding to the two branches and leaves in the same-angle adjacent branch and leaf pair.

[0055] In an embodiment of the present invention, the method of identifying target branch and leaf pairs in the first fully grown tree using the required index value based on multiple groups of first branch and leaf sets and multiple groups of second branch and leaf pairs includes: extracting the first branch and leaf sets in sequence from the multiple groups of first branch and leaf sets, extracting the first branch and leaf pair of the required index value from the first branch and leaf set, identifying the first adjacent index value pair of the first branch and leaf pair, and obtaining multiple groups of first adjacent index value pairs; extracting the second branch and leaf pairs in sequence from the multiple groups of second branch and leaf pairs, identifying the second adjacent index value pair of the second branch and leaf pair, and obtaining multiple groups of second adjacent index value pairs; and using a pre-constructed distance formula to respectively calculate the first adjacent distance set and the second adjacent distance set in the multiple groups of first adjacent index value pairs and the multiple groups of second adjacent index value pairs, wherein the distance formula is as follows:

[0056] ,in, represents the first adjacent distance of the first adjacent index value pair of the pth group, represents the first adjacent index value in the first adjacent index value pair of the pth group, represents the second adjacent index value in the first adjacent index value pair of the pth group, represents the second adjacent distance of the qth group of second adjacent index value pairs, represents the first adjacent index value in the qth group of second adjacent index value pairs, represents the second adjacent index value in the qth group of second adjacent index value pairs, Represents an absolute value symbol; identifies the minimum adjacent distance in the first adjacent distance set and the second adjacent distance set; identifies the target adjacent index value pair corresponding to the minimum adjacent distance, and identifies the target branch-leaf pair corresponding to the target adjacent index value pair.

[0057] Furthermore, the target branch-leaf pair refers to two tree branches and leaves whose performance index values ​​are target adjacent index value pairs.

[0058] S7. Perform secondary branch growth on the first fully grown tree according to the target branch and leaf pairs to obtain a second fully grown tree.

[0059] Furthermore, the secondary branch growth refers to the process of constructing test branches and leaves between the target branch and leaf pairs using the data supplemented by the secondary test when the prepared data set is supplemented with secondary test data according to the target adjacent index value pair of the target branch and leaf pair to further improve the performance accuracy of the coated titanium anode that meets the required index value. The test branches and leaves refer to the branch and leaf nodes constructed by the performance index values ​​in the secondary test data.

[0060] In an embodiment of the present invention, secondary branch growth is performed on the first fully grown tree according to the target branch and leaf pair to obtain a second fully grown tree, including: obtaining the branch and leaf relationship attributes and the overlapping preparation path of the target branch and leaf pair; if the branch and leaf relationship attributes are preset co-located terminal branches and leaves, a preparation test of the coated titanium anode is performed according to the overlapping preparation path and the preset preparation temperature gradient to obtain a test index value set; test index values ​​are sequentially extracted from the test index value set, the preparation temperature of the test index value is identified, and the test relative angle of the preparation temperature is calculated; the target terminal branching site of the target branch and leaf pair is identified, and a terminal time-temperature tree branch is constructed at the target terminal branching site according to the test relative angle; test branches and leaves are constructed according to the test index values, and the test branches and leaves are linked to the terminal time-temperature tree branch, and obtain a second fully grown tree; if the branch-leaf relationship attribute is the preset adjacent branches and leaves at the same angle, then according to the overlapping preparation path and the preset preparation time gradient, the preparation test of the coated titanium anode is carried out to obtain a test index value set; the test index values ​​are extracted in sequence from the test index value set, the preparation time of the test index value is identified, and the test tree branch length of the preparation time is calculated; the upper branching site and the target axial absolute angle of the target branch-leaf pair are identified, and the target terminal branching site is calculated according to the upper branching site and the test tree branch length; the terminal time-temperature tree branch is constructed according to the target terminal branching site and the target axial absolute angle; the test branches and leaves are constructed according to the test index values, and the test branches and leaves are linked to the terminal time-temperature tree branch to obtain a second fully grown tree.

[0061] It can be understood that the branch and leaf relationship attribute refers to the relationship tree type of the target branch and leaf pair, which can be divided into two types. The first type is two branches and leaves located at the same branch terminal branching site, and the second type is two branches and leaves with the same axial absolute angle and adjacent branch terminal branching sites. Among them, the first type belongs to the same-position terminal branches and leaves, and the second type belongs to the same-angle adjacent branches and leaves.

[0062] It can be explained that the overlapping preparation path refers to the overlapping path of the two growth branches corresponding to the target branch pair, and the overlapping path is composed of multiple iterative time-temperature branches. The preparation temperature gradient refers to the preparation temperature increment set when supplementing the secondary test data, which can be the cooling temperature increment of the last step of the preparation process (cooling), for example: 1 . The test relative angle refers to the relative angle of the branch when performing secondary branch growth. The target terminal branching site refers to the branch branching site where the target branch-leaf pair is located, and the terminal time-temperature branch refers to the branch whose axial absolute angle conforms to the test relative angle and whose branch branching site is the target terminal branching site. The construction process of the terminal time-temperature branch is the same as that of the iterative time-temperature branch, which will not be repeated here.

[0063] Furthermore, the preparation time gradient refers to the preparation time increment set when supplementing the secondary test data, which can be the cooling time increment of the last step of the preparation process (cooling), for example: 1min. The test branch length refers to the branch branch length calculated according to the preparation time of the test index value, and the upper branch site refers to the branch branch site of the iterative time-temperature branch where the target branch pair is located. The target axial absolute angle refers to the axial absolute angle of the target branch pair, and the target terminal branch site refers to the branch branch site of the connection of the supplemented test branches. The terminal time-temperature branch refers to the branch to which the test branches are connected.

[0064] S8. Identify target branches and leaves on the second fully grown tree according to the demand index value, identify the preparation time-temperature sequence corresponding to the target branches and leaves, and prepare titanium anodes with titanium-based oxide coating according to the preparation time-temperature sequence.

[0065] Furthermore, the target branches and leaves refer to branches and leaves with test index values ​​closest to the required index values. The preparation time-temperature sequence refers to a time-temperature sequence composed of a preparation time sequence and a preparation temperature sequence corresponding to the target branches and leaves.

[0066] In an embodiment of the present invention, identifying target branches and leaves on the second fully grown tree based on the required index value includes: extracting test branches and leaves in the second fully grown tree in sequence, and obtaining test index values ​​corresponding to the test branches and leaves; calculating the performance index difference between the test index value and the required index value to obtain a performance index difference set; extracting the minimum index difference from the performance index difference set, and identifying the target branches and leaves corresponding to the minimum index difference.

[0067] In an embodiment of the present invention, the identification of the preparation time-temperature sequence corresponding to the target branches and leaves includes: extracting the target branch length sequence and the target relative angle sequence of the target branches and leaves in the second fully grown tree; identifying the target preparation time sequence and the target preparation temperature sequence corresponding to the target branch length sequence and the target relative angle sequence; and constructing a preparation time-temperature sequence according to the target preparation time sequence and the target preparation temperature sequence.

[0068] For example, the target branch length sequence refers to the preparation time sequence corresponding to the target branches and leaves, and the target relative angle sequence refers to the preparation temperature sequence corresponding to the target branches and leaves. When the target preparation time sequence is coating time 1min, baking time 10min, sintering time 15min, cooling time 9min, annealing time 1h, cooling time 15min, the target preparation temperature sequence is coating temperature 35 , baking temperature 98 , sintering temperature 420 , Cooling temperature 25 , Annealing temperature 400 , Cooling temperature 26 The preparation time-temperature sequence is coating time 1min, coating temperature 35 ; Baking time 10min, baking temperature 98 ; Sintering time 15min, sintering temperature 420 ; Cooling time 9min, cooling temperature 25 ; Annealing time 1h, annealing temperature 400 ; Cooling time 15min, cooling temperature 26 .

[0069] In order to solve the problem described in the background technology, the present invention first needs to obtain a preparation data set of titanium-based oxide coated titanium anodes. Since it is necessary to construct a first complete growth tree based on the preparation data set, it is necessary to calculate the branch branch length sequence and the branch relative angle sequence based on the preparation time sequence and the preparation temperature sequence in the preparation data, and then perform a branch growth on the preparation data based on the branch branch length sequence and the branch relative angle sequence to obtain a growing branch. Since each preparation data corresponds to a performance index value, the branches and leaves of the growing branch can be constructed according to the performance index value to obtain an iterative growth tree. Since each preparation data in the preparation data set can construct a growing branch and branches and leaves, it is necessary to determine whether the preparation data in the preparation data set has been extracted. If the preparation data in the preparation data set has not been extracted, it is necessary to re-extract the preparation data, and re-construct the growing branch and leaves based on the preparation data. Branches and leaves, if the preparation data extraction in the preparation data set is completed, the iterative growth tree is directly used as the first complete growth tree. The present invention constructs the first complete growth tree through the existing preparation data set, which greatly reduces the workload of the experiment. At this time, since the performance index value in the first complete growth tree may have a large error with the required index value, it is necessary to further optimize the preparation process parameters of the titanium-based oxide coated titanium anode. First, the target branch and leaf pairs can be directly identified in the first complete growth tree according to the required index value, and then the second branch growth is performed on the first complete growth tree according to the target branch and leaf pair to obtain the second complete growth tree. In this way, the test range can be narrowed to the process preparation parameter interval of the target branch and leaf pair, and finally the target branches and leaves are identified on the second complete growth tree according to the required index value, and the preparation time-temperature sequence corresponding to the target branches and leaves is identified, so that the titanium-based oxide coated titanium anode can be prepared according to the preparation time-temperature sequence. Therefore, the present invention can solve the problems of large human resource consumption and low optimization efficiency in the current single index performance optimization process of the titanium-based oxide coated titanium anode.

[0070] like Figure 2 , which is a functional module diagram of a titanium anode preparation system for a titanium-based oxide coating provided by an embodiment of the present invention.

[0071] The titanium-based oxide coated titanium anode preparation system 100 of the present invention can be installed in an electronic device. According to the functions to be implemented, the titanium-based oxide coated titanium anode preparation system 100 can include a first fully grown tree growth module 101, a target branch pair identification module 102, a second fully grown tree growth module 103 and a titanium-based oxide coated titanium anode preparation module 104. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0072] The first fully grown tree growth module 101 is used to obtain a preparation data set of titanium-based oxide coated titanium anodes; extract preparation data in the preparation data set in sequence, extract preparation time sequence, preparation temperature sequence and performance index value in the preparation data, calculate branch branch length sequence and branch relative angle sequence according to the preparation time sequence and preparation temperature sequence respectively; perform a branch growth on the preparation data according to the branch branch length sequence and the branch relative angle sequence to obtain a growth branch, construct branches and leaves of the growth branch according to the performance index value, and obtain an iterative growth tree; judge whether the preparation data in the preparation data set has been extracted; if the preparation data in the preparation data set has not been extracted, return to the above-mentioned The steps of extracting preparation data in sequence from the preparation data set; if the preparation data extraction from the preparation data set is completed, the iterative growth tree is used as the first complete growth tree; the target branch and leaf pair identification module 102 is used to obtain the demand index value, and identify the target branch and leaf pairs in the first complete growth tree according to the demand index value; the second complete growth tree growth module 103 is used to perform secondary branch growth on the first complete growth tree according to the target branch and leaf pairs to obtain a second complete growth tree; the titanium-based oxide coated titanium anode preparation module 104 is used to identify the target branches and leaves on the second complete growth tree according to the demand index value, identify the preparation time-temperature sequence corresponding to the target branches and leaves, and prepare the titanium-based oxide coated titanium anode according to the preparation time-temperature sequence.

[0073] In detail, the modules in the titanium-based oxide coating titanium anode preparation system 100 of the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means are used as the method for preparing the titanium-based oxide coated titanium anode described in the invention and can produce the same technical effects, so they will not be repeated here.

[0074] like Figure 3 FIG. 1 is a schematic diagram of the structure of an electronic device for implementing a method for preparing a titanium anode with a titanium-based oxide coating provided by an embodiment of the present invention.

[0075] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a program for preparing a titanium anode with a titanium-based oxide coating.

[0076] The memory 11 includes at least one type of readable storage medium, and the readable storage medium includes a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the titanium-based oxide coated titanium anode preparation method program, but also can be used to temporarily store data that has been output or is to be output.

[0077] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules (such as titanium-based oxide coating titanium anode preparation method program, etc.) stored in the memory 11, and calls data stored in the memory 11 to execute various functions of the electronic device 1 and process data.

[0078] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0079] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0080] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0081] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0082] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0083] The titanium-based oxide coated titanium anode preparation method program stored in the memory 11 in the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve: obtaining a preparation data set of titanium-based oxide coated titanium anode; extracting preparation data in the preparation data set in sequence, extracting a preparation time sequence, a preparation temperature sequence and a performance index value from the preparation data, and calculating a tree branch length sequence and a tree branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively; performing a tree branch growth on the preparation data according to the tree branch length sequence and the tree branch relative angle sequence to obtain a growth tree, constructing branches and leaves of the growth tree according to the performance index value, and obtaining an iterative growth tree. tree; determine whether the preparation data in the preparation data set has been extracted; if the preparation data in the preparation data set has not been extracted, return to the above step of extracting the preparation data in the preparation data set in sequence; if the preparation data in the preparation data set has been extracted, use the iterative growth tree as the first complete growth tree; obtain the demand index value, and identify the target branch and leaf pairs in the first complete growth tree according to the demand index value; perform secondary branch growth on the first complete growth tree according to the target branch and leaf pairs to obtain a second complete growth tree; identify the target branches and leaves on the second complete growth tree according to the demand index value, identify the preparation time-temperature sequence corresponding to the target branches and leaves, and prepare the titanium anode with titanium-based oxide coating according to the preparation time-temperature sequence.

[0084] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 3 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0085] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0086] The present invention also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor of an electronic device, it can achieve the following: obtaining a preparation data set of a titanium anode coated with a titanium-based oxide; extracting preparation data in the preparation data set in sequence, extracting a preparation time sequence, a preparation temperature sequence and a performance index value from the preparation data, and calculating a tree branch length sequence and a tree branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively; performing a tree branch growth on the preparation data according to the tree branch length sequence and the tree branch relative angle sequence to obtain a growth tree branch, constructing branches and leaves of the growth tree branch according to the performance index value, and obtaining an iterative growth tree branch. tree; determine whether the preparation data in the preparation data set has been extracted; if the preparation data in the preparation data set has not been extracted, return to the above step of extracting the preparation data in the preparation data set in sequence; if the preparation data in the preparation data set has been extracted, use the iterative growth tree as the first complete growth tree; obtain the demand index value, and identify the target branch and leaf pairs in the first complete growth tree according to the demand index value; perform secondary branch growth on the first complete growth tree according to the target branch and leaf pairs to obtain a second complete growth tree; identify the target branches and leaves on the second complete growth tree according to the demand index value, identify the preparation time-temperature sequence corresponding to the target branches and leaves, and prepare the titanium anode with titanium-based oxide coating according to the preparation time-temperature sequence.

[0087] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

[0088] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0089] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0090] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0091] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for preparing a titanium anode with a titanium-based oxide coating, characterized in that: The method comprises: obtaining a preparation data set of a titanium-based oxide coated titanium anode; extracting preparation data in the preparation data set in sequence, extracting a preparation time sequence, a preparation temperature sequence and a performance index value from the preparation data, respectively calculating a branch branch length sequence and a branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence; performing a branch growth on the preparation data according to the branch branch length sequence and the branch relative angle sequence to obtain a growth branch, constructing branches and leaves of the growth branch according to the performance index value to obtain an iterative growth tree; judging whether the preparation data in the preparation data set has been extracted; if the preparation data in the preparation data set has not been extracted, returning to the above-mentioned The steps of extracting preparation data in sequence from the preparation data center; if the preparation data extraction from the preparation data center is completed, the iterative growth tree is used as the first complete growth tree; the demand index value is obtained, and the target branch and leaf pair is identified in the first complete growth tree according to the demand index value; secondary branch growth is performed on the first complete growth tree according to the target branch and leaf pair to obtain a second complete growth tree; the secondary branch growth is performed on the first complete growth tree according to the target branch and leaf pair to obtain the second complete growth tree, including: obtaining the branch and leaf relationship attributes and the overlapping preparation path of the target branch and leaf pair; if the branch and leaf relationship attributes are preset co-located terminal branches and leaves, coating titanium is performed according to the overlapping preparation path and the preset preparation temperature gradient. A preparation test of the anode is conducted to obtain a test index value set; test index values ​​are sequentially extracted from the test index value set, the preparation temperature of the test index value is identified, and the test relative angle of the preparation temperature is calculated; the target terminal branching site of the target branch-leaf pair is identified, and a terminal time-temperature tree branch is constructed at the target terminal branching site according to the test relative angle; test branches and leaves are constructed according to the test index values, and the test branches and leaves are linked to the terminal time-temperature tree branch to obtain a second fully grown tree; if the branch-leaf relationship attribute is a preset adjacent branch and leaf at the same angle, a preparation test of the coated titanium anode is conducted according to the overlapped preparation path and the preset preparation time gradient to obtain a test index value set; in the test index value set Extract test index values ​​in sequence, identify the preparation time of the test index values, and calculate the test branch length of the preparation time; identify the upper branching site and the target axial absolute angle of the target branch pair, and calculate the target terminal branching site according to the upper branching site and the test branch length; construct the terminal time-temperature tree branch according to the target terminal branching site and the target axial absolute angle; construct the test branches and leaves according to the test index values, link the test branches and leaves to the terminal time-temperature tree branch, and obtain a second fully grown tree; identify the target branches and leaves on the second fully grown tree according to the required index values, identify the preparation time-temperature sequence corresponding to the target branches and leaves, and prepare titanium anodes with titanium-based oxide coatings according to the preparation time-temperature sequence.

2. The method for preparing a titanium anode with a titanium-based oxide coating according to claim 1, characterized in that: The method of calculating the branch branch length sequence and the branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively includes: extracting the preparation time in sequence from the preparation time sequence, and calculating the branch branch length according to the preparation time by using the following formula to obtain the branch branch length sequence: ,in, represents the branch length of the jth preparation process in the i-th preparation data, i represents the preparation data serial number, j represents the preparation time serial number or preparation temperature serial number of the preparation process, represents the branch length proportional coefficient of the jth preparation process, represents the preparation time of the jth preparation process in the i-th preparation data; extracting the preparation temperatures in the preparation temperature sequence in sequence, and calculating the relative angle of the branches according to the preparation temperatures using the following formula to obtain the relative angle sequence of the branches: ,in, represents the relative angle of the branches of the jth preparation process in the i-th preparation data, represents the branch angle proportional coefficient of the jth preparation process, represents the preparation temperature of the jth preparation process in the i-th preparation data, Represents the growth intercept in radians.

3. The method for preparing a titanium anode with a titanium-based oxide coating according to claim 2, characterized in that: Before calculating the branch length sequence and the branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence, the method further includes: obtaining the branch length threshold and the preparation time threshold of the j-th preparation process; and calculating the branch length ratio coefficient according to the branch length threshold and the preparation time threshold of the j-th preparation process using the following formula: ,in, represents the tree branch length threshold of the j-th preparation process, Indicates the preparation time threshold of the j-th preparation process; obtains the branch angle threshold and the preparation temperature threshold of the j-th preparation process; and calculates the branch angle proportional coefficient according to the branch angle threshold and the preparation temperature threshold of the j-th preparation process using the following formula: ,in, represents the preparation temperature threshold of the j-th preparation process, represents a branch angle threshold, wherein the branch angle threshold is expressed in radians.

4. The method for preparing a titanium anode with a titanium-based oxide coating according to claim 3, characterized in that: According to the branch branch length sequence and the branch relative angle sequence, the preparation data is subjected to a branch growth to obtain a growing branch, including: obtaining a process temperature branch; extracting the branch branch length and the branch relative angle in the branch branch length sequence and the branch relative angle sequence respectively; determining the branch branch position on the process temperature branch according to the branch branch length; identifying the spatial growth direction of the process temperature branch, and calculating the axial absolute angle according to the spatial growth direction and the branch relative angle; randomly selecting a radial growth angle within a pre-constructed radial angle range, wherein the radial angle range is (0, 2 ); constructing an iterative time-temperature branch at the branch branching position according to the axial absolute angle and the radial growth angle; judging whether the branch branching length and the branch relative angle have been extracted; if the branch branching length and the branch relative angle have not been extracted, updating the process time-temperature branch with the iterative time-temperature branch, and returning to the above steps of extracting the branch branching length and the branch relative angle in the branch branching length sequence and the branch relative angle sequence respectively; if the branch branching length and the branch relative angle have been extracted, the growing branch is obtained.

5. The method for preparing a titanium anode with a titanium-based oxide coating according to claim 4, characterized in that: The method of identifying target branch and leaf pairs in the first fully grown tree according to the demand index value includes: sequentially identifying branch terminal branching sites in the first fully grown tree, wherein the branch terminal branching sites refer to branch branch branching sites directly connected to branches and leaves; identifying the branch and leaf sets on the branch terminal branching sites, and identifying the co-located terminal value interval of the branch and leaf sets; determining whether the demand index value belongs to the co-located terminal value interval; if the demand index value does not belong to the co-located terminal value interval, returning to the above-mentioned step of sequentially identifying branch terminal branching sites in the first fully grown tree; if the demand index value belongs to the co-located terminal value interval, taking the branch and leaf set as the first branch and leaf set to obtain multiple groups of first branch and leaf sets; in the first fully grown tree Identify pairs of adjacent branching branches and leaves with the same angle in the tree in sequence, wherein the pair of adjacent branching branches and leaves with the same angle refers to two branches and leaves with the same axial absolute angle and adjacent branching sites at the end of the tree branches; identify the adjacent value interval of the pair of adjacent branching branches and leaves with the same angle; determine whether the required index value belongs to the adjacent value interval; if the required index value does not belong to the adjacent value interval, return to the above-mentioned step of identifying adjacent branching branches and leaves with the same angle in sequence in the first fully grown tree; if the required index value belongs to the adjacent value interval, use the adjacent branching branches and leaves with the same angle as the second branch pair to obtain multiple groups of second branch pairs; based on the multiple groups of first branch sets and the multiple groups of second branch pairs, use the required index value to identify the target branch pair in the first fully grown tree.

6. The method for preparing a titanium anode with a titanium-based oxide coating according to claim 5, characterized in that: The method of identifying target branch and leaf pairs in the first fully grown tree using the required index value according to multiple groups of first branch and leaf sets and multiple groups of second branch and leaf pairs includes: extracting the first branch and leaf sets in sequence from the multiple groups of first branch and leaf sets, extracting the first branch and leaf pair of the required index value from the first branch and leaf set, identifying the first adjacent index value pair of the first branch and leaf pair, and obtaining multiple groups of first adjacent index value pairs; extracting the second branch and leaf pairs in sequence from the multiple groups of second branch and leaf pairs, identifying the second adjacent index value pair of the second branch and leaf pair, and obtaining multiple groups of second adjacent index value pairs; and calculating the first adjacent distance set and the second adjacent distance set in the multiple groups of first adjacent index value pairs and the multiple groups of second adjacent index value pairs using a pre-constructed distance formula, wherein the distance formula is as follows: ,in, represents the first adjacent distance of the first adjacent index value pair of the pth group, represents the first adjacent index value in the first adjacent index value pair of the pth group, represents the second adjacent index value in the first adjacent index value pair of the pth group, represents the second adjacent distance of the qth group of second adjacent index value pairs, represents the first adjacent index value in the qth group of second adjacent index value pairs, represents the second adjacent index value in the qth group of second adjacent index value pairs, Represents an absolute value symbol; identifies the minimum adjacent distance in the first adjacent distance set and the second adjacent distance set; identifies the target adjacent index value pair corresponding to the minimum adjacent distance, and identifies the target branch-leaf pair corresponding to the target adjacent index value pair.

7. The method for preparing a titanium anode having a titanium-based oxide coating according to claim 6, characterized in that: The method of identifying target branches and leaves on the second fully grown tree according to the required index value includes: extracting test branches and leaves in the second fully grown tree in sequence, and obtaining test index values ​​corresponding to the test branches and leaves; calculating the performance index difference between the test index value and the required index value, and obtaining a performance index difference set; extracting the minimum index difference from the performance index difference set, and identifying the target branches and leaves corresponding to the minimum index difference.

8. The method for preparing a titanium anode having a titanium-based oxide coating according to claim 7, characterized in that: The identification of the preparation time-temperature sequence corresponding to the target branches and leaves includes: extracting the target branch length sequence and the target relative angle sequence of the target branches and leaves in the second fully grown tree; identifying the target preparation time sequence and the target preparation temperature sequence corresponding to the target branch length sequence and the target relative angle sequence; and constructing a preparation time-temperature sequence according to the target preparation time sequence and the target preparation temperature sequence.

9. A titanium-based oxide coated titanium anode preparation system, characterized in that: The system includes: a first complete growth tree growth module, which is used to obtain a preparation data set of titanium-based oxide coated titanium anodes; extracting preparation data in the preparation data set in sequence, extracting a preparation time sequence, a preparation temperature sequence and a performance index value in the preparation data, and calculating a branch branch length sequence and a branch relative angle sequence according to the preparation time sequence and the preparation temperature sequence respectively; performing a branch growth on the preparation data according to the branch branch length sequence and the branch relative angle sequence to obtain a growth branch, and constructing branches and leaves of the growth branch according to the performance index value to obtain an iterative growth tree; judging whether the preparation data in the preparation data set has been extracted; if the preparation data in the preparation data set has not been extracted, returning to the above-mentioned The steps of extracting prepared data in sequence from the prepared data set; if the prepared data extraction from the prepared data set is completed, the iterative growth tree is used as the first complete growth tree; a target branch and leaf pair identification module is used to obtain a demand index value, and identify the target branch and leaf pair in the first complete growth tree according to the demand index value; a second complete growth tree growth module is used to perform secondary branch growth on the first complete growth tree according to the target branch and leaf pair to obtain a second complete growth tree; the secondary branch growth on the first complete growth tree according to the target branch and leaf pair to obtain the second complete growth tree includes: obtaining the branch and leaf relationship attributes and the overlapping preparation path of the target branch and leaf pair; if the branch and leaf relationship attributes are preset co-located terminal branches and leaves, then according to the overlapping preparation path and the preset The preparation temperature gradient of the coated titanium anode is used to conduct a preparation test to obtain a test index value set; the test index values ​​are extracted in sequence from the test index value set, the preparation temperature of the test index value is identified, and the test relative angle of the preparation temperature is calculated; the target terminal branching site of the target branch and leaf pair is identified, and a terminal time-temperature tree branch is constructed at the target terminal branching site according to the test relative angle; the test branches and leaves are constructed according to the test index values, and the test branches and leaves are linked to the terminal time-temperature tree branch to obtain a second fully grown tree; if the branch and leaf relationship attribute is a preset adjacent branch and leaf at the same angle, the preparation test of the coated titanium anode is conducted according to the overlapping preparation path and the preset preparation time gradient to obtain a test index value set; the test index values ​​are extracted in sequence from the test index value set Take the test index value, identify the preparation time of the test index value, and calculate the test tree branch length of the preparation time; identify the upper branching site and the target axial absolute angle of the target branch pair, and calculate the target terminal branching site according to the upper branching site and the test tree branch length; construct the terminal time-temperature tree branch according to the target terminal branching site and the target axial absolute angle; construct the test branches and leaves according to the test index value, link the test branches and leaves to the terminal time-temperature tree branch, and obtain a second fully grown tree; a titanium-based oxide coated titanium anode preparation module is used to identify the target branches and leaves on the second fully grown tree according to the demand index value, identify the preparation time-temperature sequence corresponding to the target branches and leaves, and prepare the titanium-based oxide coated titanium anode according to the preparation time-temperature sequence.

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