Method and device for determining coating thickness of conductive coating and coating method

Abstract

The invention discloses a method and device for determining the coating thickness of a conductive coating, a storage medium, an electronic device, a computer program product and a coating method of the conductive coating. The method comprises the steps that finite element analysis is conducted on a to-be-coated object, and target coating parameters of multiple areas of the to-be-coated object are determined. Establishing a coating thickness determination model according to the cost parameter, the coating area of the plurality of areas of the to-be-coated object and the target coating parameter; and under set constraint conditions and optimization targets, according to the coating thickness determination model, the coating thicknesses of the multiple areas of the to-be-coated object are determined, and the optimization targets are that the cost of the conductive coating is the lowest and the potential of each area of the to-be-coated object reaches the corresponding target potential. Therefore, the protection effect can be taken into account while the lowest cost is ensured, that is, the effect of uniform current distribution can be achieved when the potential of each region reaches the corresponding target potential, the protection effect can be improved, and the service life of the steel structure can be prolonged.

Description

Technical Field

[0001] The present application relates to the field of coating protection, and in particular, to a method and device for determining the coating thickness of a conductive coating, a storage medium, an electronic device, a computer program product, and a method for coating a conductive coating. Background Art

[0002] With the rapid development of science and technology, more and more underwater devices have emerged in order to utilize marine resources. Underwater steel structures such as offshore platforms, hulls and submarine pipelines are usually exposed to harsh marine environments and are susceptible to electrochemical corrosion. Therefore, it is necessary to take anti-corrosion measures for underwater steel structures.

[0003] In the related art, anti-corrosion treatment is usually carried out by coating protection, cathodic protection or electrochemical protection.

[0004] However, the related technical methods cannot take into account both protection effect and cost investment. Summary of the invention

[0005] Embodiments of the present application provide a method and device for determining the coating thickness of a conductive coating, a storage medium, an electronic device, a computer program product, and a method for coating a conductive coating.

[0006] According to one aspect of an embodiment of the present application, a method for determining the coating thickness of a conductive coating is provided, the method comprising: performing finite element analysis on an object to be coated to determine target coating parameters for multiple regions of the object to be coated, wherein the target coating parameters include a target coating thickness range and a target potential; establishing a coating thickness determination model based on cost parameters, coating areas of multiple regions of the object to be coated and the target coating parameters; under set constraints and optimization objectives, determining the coating thicknesses of multiple regions of the object to be coated based on the coating thickness determination model, wherein the optimization objective is to minimize the cost of the conductive coating and for the potential of each region of the object to be coated to reach a corresponding target potential.

[0007] In an exemplary embodiment, the coating thickness determination model is established based on the cost parameters, the coating areas of multiple regions of the object to be coated and the target coating parameters, including: obtaining the area of ​​the target region of the object to be coated, the construction cost, and the unit volume cost of the conductive coating material, wherein the target region is one of the multiple regions; establishing a cost function of the target region based on the area of ​​the target region of the object to be coated, the construction cost, the unit volume cost of the conductive coating material, and the target coating thickness range of the target region; determining the total cost function of the object to be coated based on the cost functions of each region of the object to be coated; and establishing the coating thickness determination model based on the total cost function of the object to be coated and the target potential and actual potential of each region.

[0008] In an exemplary embodiment, the constraint conditions include: a coating thickness of the target area is within a corresponding target coating thickness range, and a current density of the target area is within a preset current density range.

[0009] In an exemplary embodiment, the method of performing finite element analysis on the object to be coated to determine target coating parameters for multiple areas of the object to be coated includes: establishing a finite element model of the object to be coated; dividing the finite element model into multiple areas; determining the corrosion risk level of each area according to the shape, position, and current distribution of each area; and determining the target coating parameters of each area based on the corrosion risk level of each area.

[0010] In an exemplary embodiment, the material of the conductive coating includes at least one of epoxy resin doped with highly conductive carbon nanotubes, graphene, and silver powder.

[0011] According to another aspect of an embodiment of the present application, a method for coating a conductive coating is further provided, wherein the coating thickness of multiple areas of the object to be coated is determined by the method for determining the coating thickness of the conductive coating according to any one of claims 1 to 5; the method for coating the conductive coating comprises:

[0012] In a dry environment, spraying a conductive coating on the object to be coated according to the determined coating thicknesses of multiple regions of the object to be coated;

[0013] The object to be coated after the conductive coating is sprayed is placed at a preset temperature for a preset time to allow the conductive coating to be cured at a constant temperature.

[0014] According to another aspect of an embodiment of the present application, a device for determining a coating thickness of a conductive coating is also provided, the device comprising:

[0015] A parameter determination module, used for performing finite element analysis on the object to be coated to determine target coating parameters of multiple regions of the object to be coated, wherein the target coating parameters include a target coating thickness range and a target potential;

[0016] A model building module, for building a coating thickness determination model according to a cost parameter, coating areas of a plurality of regions of the object to be coated and the target coating parameter;

[0017] The thickness determination module is used to determine the coating thickness of multiple areas of the object to be coated according to the coating thickness determination model under set constraints and optimization goals, wherein the optimization goal is to minimize the cost of the conductive coating and the potential of each area of ​​the object to be coated reaches the corresponding target potential.

[0018] According to another aspect of the embodiment of the present application, a computer-readable storage medium is provided, in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method for determining the coating thickness of the conductive coating when running.

[0019] According to another aspect of an embodiment of the present application, an electronic device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the method for determining the coating thickness of the conductive coating through the computer program.

[0020] According to another aspect of the embodiments of the present application, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps of the method described in each embodiment of the present application are implemented.

[0021] The method for determining the coating thickness of the above-mentioned conductive coating first performs finite element analysis on the object to be coated to determine the target coating parameters of multiple areas of the object to be coated, thereby determining the coating parameters of the key parts of the object to be coated, so as to provide reference data for the subsequent coating thickness determination. Then, according to the cost parameters, the coating areas of multiple areas of the object to be coated and the target coating parameters, a coating thickness determination model is established to balance the coating cost and the coating protection effect. Finally, under the set constraints and optimization goals, the coating thickness of multiple areas of the object to be coated is determined according to the coating thickness determination model. The optimization goal is to minimize the cost of the conductive coating and the potential of each area of ​​the object to be coated reaches the corresponding target potential, so that the protection effect can be taken into account while ensuring the lowest cost, that is, the potential of each area reaches the corresponding target potential to achieve the effect of uniform current distribution, which can improve the protection effect and the service life of the steel structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0024] Figure 1 is a hardware structure block diagram of a method for determining the coating thickness of a conductive coating according to an embodiment of the present application;

[0025] Figure 2 is a flow chart of a method for determining the coating thickness of a conductive coating according to an embodiment of the present application;

[0026] Figure 3 is a second flow chart of a method for determining coating thickness of a conductive coating according to an embodiment of the present application;

[0027] Figure 4 is a flowchart of a method for determining the coating thickness of a conductive coating according to an embodiment of the present application;

[0028] Figure 5 is a flow chart of a method for applying a conductive coating according to an embodiment of the present application;

[0029] Figure 6 It is a structural block diagram of a device for determining the coating thickness of a conductive coating according to an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0032] The method embodiments provided in the embodiments of the present application can be executed in a computer terminal or a similar computing device. Taking running on a computer terminal as an example, Figure 1 1 is a hardware structure block diagram of a computer terminal for determining the coating thickness of a conductive coating according to an embodiment of the present application. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 The computer terminal includes a processor 102 (only one is shown in the figure) (the processor 102 may include but is not limited to a microprocessor (Microprocessor Unit, MPU for short) or a programmable logic device (PLD for short)) and a memory 104 for storing data. In an exemplary embodiment, the computer terminal may also include a transmission device 106 for communication functions and an input / output device 108. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Equivalent functions or comparisons shown Figure 1 A different configuration with more features is shown.

[0033] The memory 104 can be used to store computer programs, for example, software programs and modules of application software, such as the computer program corresponding to the method for determining the coating thickness of the conductive coating in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, that is, to implement the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0034] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, referred to as NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0035] In this embodiment, a method for determining the coating thickness of a conductive coating is provided. Figure 2 : is a flow chart of an optional method for determining the coating thickness of a conductive coating according to an embodiment of the present application, the process comprising the following steps S200-S220:

[0036] Step S200 , performing finite element analysis on the object to be coated to determine target coating parameters for multiple regions of the object to be coated.

[0037] Among them, the target coating parameters include target coating thickness range and target potential.

[0038] Among them, underwater steel structures such as offshore platforms, hulls and submarine pipelines are usually exposed to harsh marine environments and are susceptible to electrochemical corrosion. Therefore, impressed current cathodic protection (ICCP) strategy is used for corrosion protection. The ICCP strategy improves the surface conductivity of the material by coating a layer of conductive material on the surface of the steel structure, optimizing the current distribution and potential control to improve the anti-corrosion performance of the structure. However, after coating the conductive material, the current distribution may be uneven, resulting in local over-protection or under-protection, affecting the structural life and anti-corrosion efficiency.

[0039] Among them, finite element analysis (FEA) is a numerical calculation method that divides a complex entity or system into many small, simple, regular-shaped parts (called finite elements), applies physical laws to these small elements, and then solves them by numerical methods to predict the behavior of the entity or system. The thickness design of the conductive coating of the object to be coated is optimized by finite element analysis to ensure that the specific area of ​​the underwater steel structure (object to be coated) achieves uniform current distribution and potential control. By simulating the conductivity and electric field distribution of the coating, the influence of different coating thicknesses on the current distribution can be predicted, thereby providing a basis for the selection of coating thickness, and the target coating thickness range and target potential of each area of ​​the object to be coated can be determined to make the current distribution of the object to be coated uniform and improve the anti-corrosion effect.

[0040] Step S210 , establishing a coating thickness determination model according to the cost parameter, the coating areas of the plurality of regions of the object to be coated and the target coating parameter.

[0041] The cost parameters may include the cost of the conductive material and the cost of construction (spraying, curing and other operations).

[0042] Step S220 , under the set constraints and optimization objectives, according to the coating thickness determination model, determines the coating thickness of multiple areas of the object to be coated.

[0043] The optimization goal is to minimize the cost of the conductive coating and to achieve the corresponding target potential in each area of ​​the object to be coated. First, the target potential of each area of ​​the object to be coated is determined by finite element analysis, and then the target potential is used as the optimization goal. The coating thickness is adjusted so that the potential of each area of ​​the object to be coated is close to the corresponding target potential, so that the current distribution of the object to be coated is more uniform.

[0044] In this embodiment, the object to be coated is first subjected to finite element analysis to determine the target coating parameters of multiple regions of the object to be coated, thereby determining the coating parameters of the key parts of the object to be coated, so as to provide reference data for the subsequent coating thickness determination. Then, according to the cost parameters, the coating areas of multiple regions of the object to be coated and the target coating parameters, a coating thickness determination model is established to balance the coating cost and the coating protection effect. Finally, under the set constraints and optimization goals, the coating thickness of multiple regions of the object to be coated is determined according to the coating thickness determination model, and the optimization goal is to minimize the cost of the conductive coating and the potential of each region of the object to be coated reaches the corresponding target potential, so that the protection effect can be taken into account while ensuring the lowest cost, that is, the potential of each region reaches the corresponding target potential to achieve the effect of uniform current distribution, which can improve the protection effect and the service life of the steel structure.

[0045] In one embodiment, Figure 3 As shown, step S210, according to the cost parameter, the coating area of ​​multiple regions of the object to be coated and the target coating parameter, a coating thickness determination model is established. It includes: steps S300-S330. Among them:

[0046] Step S300, obtaining the area of ​​the target region of the object to be coated, the construction cost, and the unit volume cost of the material of the conductive coating.

[0047] The target area is one of the multiple areas.

[0048] Step S310 , establishing a cost function for the target area according to the area of ​​the target area of ​​the object to be coated, the construction cost, the unit volume cost of the conductive coating material, and the target coating thickness range of the target area.

[0049] Among them, the cost function of the target area can be expressed as follows:

[0050] C i =(A i ·t i ·c m +P i )

[0051] Among them, C i is the cost of the target area, A i is the area of ​​the target area, t i is the coating thickness in the target area, c m is the unit volume cost of the material, P i is the construction cost of the target area.

[0052] Step S320 , determining a total cost function of the object to be coated according to the cost functions of each region of the object to be coated.

[0053] After determining the cost function of each area of ​​the object to be coated, the cost functions of all areas are added together to obtain the total cost function of the object to be coated, as shown below:

[0054]

[0055] Among them, C 涂层 is the total cost of the object to be coated, A i is the area of ​​the ith region, t i is the coating thickness of the ith region, c m is the unit volume cost of the material, P i is the construction cost of the ith area.

[0056] Step S330 , establishing a coating thickness determination model according to the total cost function of the object to be coated and the target potential and actual potential of each area.

[0057] Among them, the coating thickness determination model needs to take into account the total cost and protection effect of the object to be coated. Therefore, it can be expressed by the following formula:

[0058]

[0059] Among them, C 涂层 is the total cost of the object to be coated, α is the adjustment coefficient, V obj is the target potential of the jth region, V j is the actual potential of the jth region, and m is the total number of regions.

[0060] The optimization goal is to minimize the cost of the conductive coating and to ensure that the potential of each area of ​​the object to be coated reaches the corresponding target potential. Therefore, the value of the coating thickness determination model needs to be minimized. obj -V j | represents the deviation between the actual potential and the target potential of the jth region, |V obj -V j The smaller | is, the closer the actual potential of the jth region is to the target potential, that is, the better the protection effect is. 涂层 The smaller the total cost, the lower the The optimization goal can be met if the minimum value is obtained, that is, the coating thickness of each area that minimizes the value of the coating thickness determination model is determined.

[0061] In this embodiment, a cost function of the target area is first established to quantify the cost of the target area and accurately determine the cost of the target area, thereby determining the total cost of the object to be coated. Then, based on the total cost function and the potential of the object to be coated, a coating thickness determination model is established. The optimization goal of the coating thickness determination model is to minimize the cost of the conductive coating and ensure that the potential of each area of ​​the object to be coated reaches the corresponding target potential, thereby facilitating the optimal design and thickness selection of the conductive coating, taking into account both cost and protection effect.

[0062] In one embodiment, the constraint conditions include: the coating thickness of the target area is within a corresponding target coating thickness range, and the current density of the target area is within a preset current density range.

[0063] Specifically, the target coating thickness range t for each area was first determined by finite element analysis. min ~t max Therefore, the first constraint is that the coating thickness is within the corresponding target coating thickness range: t min ≤t i ≤t max , where t min and t max are the lower and upper limits of the target coating thickness range of the ith region, respectively, and t i is the thickness of the ith region.

[0064] The second constraint is the current distribution uniformity limit: Among them J j is the current density in the jth region, J obj is the target current density of the jth region, and ε is the allowable deviation. The relationship between current density and potential is:

[0065] J j =σ j ·E j

[0066] Among them, σ j is the conductivity of the jth region (S / m), which is related to the properties of the conductive coating material and its thickness. is the electric field strength in the jth region (V / m), given by the potential gradient Sure.

[0067] In this embodiment, the constraint conditions in the coating thickness adjustment process are designed to constrain the coating thickness range on the one hand and the current density range of the region on the other hand, thereby ensuring that the coating thickness and current density are appropriate.

[0068] In one embodiment, Figure 4As shown, step S200 is to perform finite element analysis on the object to be coated to determine target coating parameters for multiple regions of the object to be coated. It includes: steps S400-S430. Among them:

[0069] Step S400: establishing a finite element model of the object to be coated.

[0070] Step S410: dividing the finite element model into multiple regions.

[0071] Step S420, determining the corrosion risk level of each area according to the shape, position, and current distribution of each area.

[0072] Among them, the finite element model is used to simulate the power supply, and the potential of multiple monitoring points of the finite element model is monitored. The current distribution can be obtained according to the simulation results, and then the corrosion risk level of different areas can be determined according to the shape and position of the steel structure.

[0073] Step S430, determining a target coating parameter for each region based on the corrosion risk level of each region.

[0074] Among them, the coating can be selectively thickened at key locations (such as edges, raised parts, welding points), for example:

[0075] Areas with high corrosion risk (such as sharp edges of structures, welds): coating thickness is 200-300μm.

[0076] Medium corrosion risk areas (such as joints): coating thickness is 100-150μm.

[0077] Low corrosion risk areas (such as flat large surface): coating thickness is 50-100μm.

[0078] In this embodiment, finite element analysis and multi-point potential monitoring can be performed on the object to be coated to determine the corrosion risks of different areas, and then target coating parameters for different areas can be designed, so as to increase the coating thickness in areas that are prone to corrosion to improve the protective effect, and reduce the coating thickness in areas that are not prone to corrosion to save costs.

[0079] In one embodiment, the material of the conductive coating includes at least one of epoxy resin doped with highly conductive carbon nanotubes, graphene, and silver powder.

[0080] In this embodiment, the material of the conductive coating is selected to include at least one of epoxy resin doped with highly conductive carbon nanotubes, graphene and silver powder, thereby ensuring that the material of the conductive coating has excellent conductivity, adhesion and corrosion resistance, thereby improving the protection effect.

[0081] In one embodiment, Figure 5As shown, a method for coating a conductive coating is provided, and the coating thickness of multiple areas of the object to be coated is determined by using the method for determining the coating thickness of the conductive coating in any of the above embodiments. The method for coating a conductive coating includes: steps S500-S510. Among them:

[0082] Step S500 , in a dry environment, spraying a conductive coating on the object to be coated according to the determined coating thicknesses of multiple regions of the object to be coated.

[0083] Step S510, placing the object to be coated after spraying the conductive coating at a preset temperature for a preset time to allow the conductive coating to cure at a constant temperature.

[0084] Exemplarily, the preset temperature may be 60° C. to 80° C., and the preset time may be 24 hours.

[0085] In this embodiment, the coating is carried out in a dry environment using an automated spraying device to ensure uniformity and controllable thickness of the coating. After coating, the coating is fully cured by constant temperature curing to form a stable anti-corrosion protective layer.

[0086] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0087] In the present embodiment, a device for determining the coating thickness of the conductive coating is also provided, and the device for determining the coating thickness of the conductive coating is used to implement the above-mentioned embodiments and preferred embodiments, and the descriptions thereof will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware is also possible and contemplated.

[0088] Figure 6 is a structural block diagram of an optional device for determining the coating thickness of a conductive coating according to an embodiment of the present application. Figure 6 As shown, including:

[0089] The parameter determination module 601 is used to perform finite element analysis on the object to be coated to determine target coating parameters for multiple regions of the object to be coated, wherein the target coating parameters include a target coating thickness range and a target potential.

[0090] The model building module 602 is used to build a coating thickness determination model according to the cost parameter, the coating area of ​​multiple regions of the object to be coated and the target coating parameter.

[0091] The thickness determination module 603 is used to determine the coating thickness of multiple areas of the object to be coated according to the coating thickness determination model under the set constraints and optimization objectives, wherein the optimization objective is to minimize the cost of the conductive coating and the potential of each area of ​​the object to be coated reaches the corresponding target potential.

[0092] Through the above device, firstly, the object to be coated is subjected to finite element analysis to determine the target coating parameters of multiple regions of the object to be coated, thereby determining the coating parameters of the key parts of the object to be coated, so as to provide reference data for the subsequent coating thickness determination. Then, according to the cost parameter, the coating area of ​​multiple regions of the object to be coated and the target coating parameter, a coating thickness determination model is established to balance the coating cost and the coating protection effect. Finally, under the set constraints and optimization goals, the coating thickness of multiple regions of the object to be coated is determined according to the coating thickness determination model, and the optimization goal is to minimize the cost of the conductive coating and the potential of each region of the object to be coated reaches the corresponding target potential, so that the protection effect can be taken into account while ensuring the lowest cost, that is, the potential of each region reaches the corresponding target potential to achieve the effect of uniform current distribution, which can improve the protection effect and the service life of the steel structure.

[0093] In an exemplary embodiment, the model building module 602 further includes:

[0094] The data acquisition unit is used to acquire the area of ​​a target area of ​​the object to be coated, the construction cost, and the unit volume cost of the material of the conductive coating, wherein the target area is one of the multiple areas.

[0095] The cost function establishing unit is used to establish a cost function of the target area according to the area of ​​the target area of ​​the object to be coated, the construction cost, the unit volume cost of the conductive coating material, and the target coating thickness range of the target area.

[0096] The total cost function establishing unit is used to determine the total cost function of the object to be coated according to the cost functions of each area of ​​the object to be coated.

[0097] The model building unit is used to build a coating thickness determination model according to the total cost function of the object to be coated and the target potential and actual potential of each area.

[0098] In an exemplary embodiment, the parameter determination module 601 includes:

[0099] The finite element model building unit is used to build a finite element model of the object to be coated.

[0100] The finite element model partitioning unit is used to divide the finite element model into multiple regions.

[0101] The corrosion risk level determination unit is used to determine the corrosion risk level of each area according to the shape, position and current distribution of each area.

[0102] The target coating parameter determination unit is used to determine the target coating parameter of each area based on the corrosion risk level of each area.

[0103] An embodiment of the present application further provides a storage medium, which includes a stored program, wherein the program executes any of the above methods when it is run.

[0104] Optionally, in this embodiment, the storage medium may be configured to store program codes for executing the following steps:

[0105] S1, performing finite element analysis on the object to be coated to determine target coating parameters of multiple areas of the object to be coated, wherein the target coating parameters include a target coating thickness range and a target potential.

[0106] S2, establishing a coating thickness determination model according to the cost parameter, the coating areas of the plurality of regions of the object to be coated and the target coating parameter.

[0107] S3, under the set constraints and optimization objectives, determine the coating thickness of multiple areas of the object to be coated according to the coating thickness determination model, wherein the optimization objective is to minimize the cost of the conductive coating and to ensure that the potential of each area of ​​the object to be coated reaches the corresponding target potential.

[0108] An embodiment of the present application further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0109] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0110] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0111] S1, performing finite element analysis on the object to be coated to determine target coating parameters of multiple areas of the object to be coated, wherein the target coating parameters include a target coating thickness range and a target potential.

[0112] S2, establishing a coating thickness determination model according to the cost parameter, the coating areas of the plurality of regions of the object to be coated and the target coating parameter.

[0113] S3, under the set constraints and optimization objectives, determine the coating thickness of multiple areas of the object to be coated according to the coating thickness determination model, wherein the optimization objective is to minimize the cost of the conductive coating and to ensure that the potential of each area of ​​the object to be coated reaches the corresponding target potential.

[0114] Optionally, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store program codes.

[0115] An embodiment of the present application further provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores the computer program product, and when the computer program is executed by a processor, the steps of the method in each embodiment of the present application are implemented.

[0116] Optionally, in this embodiment, the above computer program may be configured to implement the following steps when executed by a processor:

[0117] S1, performing finite element analysis on the object to be coated to determine target coating parameters of multiple areas of the object to be coated, wherein the target coating parameters include a target coating thickness range and a target potential.

[0118] S2, establishing a coating thickness determination model according to the cost parameter, the coating areas of the plurality of regions of the object to be coated and the target coating parameter.

[0119] S3, under the set constraints and optimization objectives, determine the coating thickness of multiple areas of the object to be coated according to the coating thickness determination model, wherein the optimization objective is to minimize the cost of the conductive coating and to ensure that the potential of each area of ​​the object to be coated reaches the corresponding target potential.

[0120] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0121] Obviously, those skilled in the art should understand that the above modules or steps of the present application can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, and in some cases, the steps shown or described can be executed in a different order from that herein, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present application is not limited to any specific combination of hardware and software.

[0122] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the principles of the present application shall be included in the protection scope of the present application.

Claims

1. A method for determining the coating thickness of a conductive coating, characterized in that: The method comprises: Performing finite element analysis on the object to be coated to determine target coating parameters for multiple regions of the object to be coated, wherein the target coating parameters include a target coating thickness range and a target potential; Establishing a coating thickness determination model according to a cost parameter, coating areas of the plurality of regions of the object to be coated, and the target coating parameter; Under the set constraints and optimization objectives, the coating thickness of multiple areas of the object to be coated is determined according to the coating thickness determination model, wherein the optimization objective is to minimize the cost of the conductive coating and ensure that the potential of each area of ​​the object to be coated reaches the corresponding target potential.

2. The method according to claim 1, characterized in that The method of establishing a coating thickness determination model according to the cost parameter, the coating areas of the plurality of regions of the object to be coated and the target coating parameter comprises: Acquire the area of ​​the target area of ​​the object to be coated, the construction cost, and the unit volume cost of the material of the conductive coating, wherein the target area is one of the multiple areas; Establishing a cost function for the target area according to the area of ​​the target area of ​​the object to be coated, the construction cost, the unit volume cost of the material of the conductive coating, and the target coating thickness range of the target area; Determining a total cost function of the object to be coated according to the cost functions of each area of ​​the object to be coated; The coating thickness determination model is established according to the total cost function of the object to be coated and the target potential and the actual potential of each area.

3. The method according to claim 2, characterized in that The constraint conditions include: the coating thickness of the target area is within a corresponding target coating thickness range, and the current density of the target area is within a preset current density range.

4. The method according to claim 1, characterized in that: The method of performing finite element analysis on the object to be coated to determine target coating parameters of multiple areas of the object to be coated includes: Establishing a finite element model of the object to be coated; dividing the finite element model into a plurality of regions; Determine the corrosion risk level of each of the areas according to the shape, location and current distribution of each of the areas; Based on the corrosion risk level of each of the areas, target coating parameters are determined for each of the areas.

5. The method according to claim 1, characterized in that The material of the conductive coating includes at least one of epoxy resin doped with highly conductive carbon nanotubes, graphene and silver powder.

6. A method for coating a conductive coating, characterized in that: The coating thickness of the plurality of regions of the object to be coated is determined by the method for determining the coating thickness of the conductive coating according to any one of claims 1 to 5; the coating method of the conductive coating comprises: In a dry environment, spraying a conductive coating on the object to be coated according to the determined coating thicknesses of multiple regions of the object to be coated; The object to be coated after the conductive coating is sprayed is placed at a preset temperature for a preset time to allow the conductive coating to be cured at a constant temperature.

7. A device for determining the coating thickness of a conductive coating, characterized in that: The device comprises: A parameter determination module, used for performing finite element analysis on the object to be coated to determine target coating parameters of multiple regions of the object to be coated, wherein the target coating parameters include a target coating thickness range and a target potential; A model building module, for building a coating thickness determination model according to a cost parameter, coating areas of a plurality of regions of the object to be coated and the target coating parameter; The thickness determination module is used to determine the coating thickness of multiple areas of the object to be coated according to the coating thickness determination model under set constraints and optimization goals, wherein the optimization goal is to minimize the cost of the conductive coating and the potential of each area of ​​the object to be coated reaches the corresponding target potential.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6 when executed.

9. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 6 through the computer program.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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