CN-121979300-A - Barrel type foundation structure anti-corrosion coating thickness control method, device and medium considering multi-factor coupling effect

CN121979300ACN 121979300 ACN121979300 ACN 121979300ACN-121979300-A

Abstract

The invention relates to a barrel type base structure anti-corrosion coating thickness control method, device and medium considering multi-factor coupling effect, wherein the method comprises the steps of S1, constructing a coating dry film thickness prediction model based on a simulation data set and a historical data set, S2, obtaining real-time environment wind speed and spraying distance, inquiring based on a pre-configured response surface database to obtain reference spraying pressure and reference nozzle walking speed, S3, obtaining a spraying pressure correction sequence and a nozzle walking speed correction sequence based on the coating dry film thickness prediction model so as to minimize film thickness control deviation and fluctuation targets of the spraying pressure and the nozzle walking speed in a future period, and S4, respectively superposing the film thickness control deviation and the spraying pressure and the nozzle walking speed to obtain target spraying pressure and target nozzle walking speed. Compared with the prior art, the method improves the film thickness prediction precision under the variable working condition and realizes the accurate closed-loop control of the coating thickness.

Inventors

SHU FANGFA
DONG QIAO
LIN WEIWEI
GU KUNPENG
WANG QUANQUAN
CAO XINYUAN
HU XING

Assignees

东南大学
中交第三航务工程局有限公司

Dates

Publication Date: 20260505
Application Date: 20260408

Claims (10)

1. The method for controlling the thickness of the corrosion-resistant coating of the barrel-type foundation structure by taking the multi-factor coupling effect into consideration is characterized by comprising the following steps of: S1, constructing a coating dry film thickness prediction model based on a simulation data set and a historical data set, wherein the input of the coating dry film thickness prediction model comprises a flow coefficient, a spray hole area of a spray nozzle, spray pressure, paint density, a spray nozzle travelling speed, a spray distance, an ambient wind speed and paint viscosity, and the output is the coating dry film thickness; s2, acquiring real-time environment wind speed and spraying distance, and acquiring reference spraying pressure and reference nozzle walking speed based on inquiry of a pre-configured response surface database by combining a pre-configured flow coefficient, the spray hole area of a nozzle, the coating density and the coating viscosity; S3, based on a coating dry film thickness prediction model, a spray pressure correction sequence and a spray nozzle traveling speed correction sequence are obtained by minimizing film thickness control deviation, spray pressure and a fluctuation target of the spray nozzle traveling speed in a future period of time; and S4, respectively adding the first elements in the spray pressure correction sequence and the nozzle travelling speed correction sequence to the corresponding reference spray pressure and the reference nozzle travelling speed to obtain the target spray pressure and the target nozzle travelling speed.
2. The method for controlling the thickness of the corrosion-resistant coating of the barrel-type foundation structure taking into consideration the multi-factor coupling effect as set forth in claim 1, wherein the mathematical expression of the dry film thickness prediction model of the coating is: ; Wherein DFT is the thickness of a dry film of the coating, K is the volume solids and the density constant of the coating, For the total mass of coating material ejected from the nozzle, For the transport efficiency, v is the nozzle travel speed, The error compensation term is P, D, U w , U and mu, wherein P is the spraying pressure, D is the spraying distance, U w is the ambient wind speed, and mu is the coating viscosity.
3. The method for controlling the thickness of the corrosion-resistant coating of the barrel-type foundation structure taking into consideration the multi-factor coupling effect as claimed in claim 2, wherein the transmission efficiency is specifically as follows: ; wherein a is the coefficient of a spraying distance item, b is the coefficient of an ambient wind speed item, c is the coefficient of a paint viscosity item, and d is the coefficient of a zero-order item.
4. A method for controlling the thickness of a corrosion-resistant coating of a barrel-type foundation structure taking into account multi-factor coupling as set forth in claim 3, wherein said step S1 comprises: Step S1-1, eliminating errors through a simulation experiment to obtain a simulation data set, wherein each sample of the simulation data set at least comprises a dry film thickness of a coating, total mass of paint sprayed from a nozzle, a spraying distance, an ambient wind speed, paint viscosity and a nozzle travelling speed; S1-2, calculating the transmission efficiency of each sample based on the dry film thickness of the coating in each sample of the simulation data set, the total mass of the coating sprayed from the nozzle and the running speed of the nozzle by combining the solid content of the coating volume and the density constant; s1-3, obtaining a coating dry film thickness prediction model without error compensation based on the spraying distance, the ambient wind speed and the coating viscosity in each sample of a simulation data set and combining transmission efficiency fitting to obtain a coefficient of a spraying distance item, a coefficient of an ambient wind speed item, a coefficient of a coating viscosity item and a zero-order item coefficient; s1-4, acquiring a historical data set, wherein each sample of the historical data set at least comprises actual coating dry film thickness, spraying pressure, total mass of paint sprayed from a nozzle, spraying distance, ambient wind speed, paint viscosity and nozzle travelling speed; S1-5, substituting the spraying distance, the total mass of the paint sprayed from the nozzle, the ambient wind speed, the paint viscosity and the running speed of the nozzle in each sample of the historical data set into a coating dry film thickness prediction model without error compensation to obtain a predicted coating dry film thickness, and calculating the difference between the actual coating dry film thickness and the predicted coating dry film thickness as an error compensation term corresponding to each sample of the historical data set; s1-6, constructing a first sample, wherein error compensation items of all samples of a historical data set are used as label values of the first sample, and spraying pressure, nozzle running speed, spraying distance, ambient wind speed and paint viscosity of all samples of the historical data set are used as input values of the first sample; s1-7, training an error compensation model by using a first sample, wherein the input of error compensation is spraying pressure, nozzle travelling speed, spraying distance, ambient wind speed and paint viscosity, and the output is an error compensation item; and S1-8, combining the coating dry film thickness prediction model without error compensation with an error compensation term to obtain the coating dry film thickness prediction model.
5. A method of controlling the thickness of a corrosion-resistant coating of a barrel-type substructure according to claim 2, wherein the total mass of the coating sprayed from the nozzles is: ; Wherein: As a flow coefficient of the water, the water is mixed with water, Is the spray hole area of the spray nozzle, Is the paint density.
6. A method for controlling the thickness of a corrosion-resistant coating of a barrel-type foundation structure taking into account multi-factor coupling as set forth in claim 1, wherein said step S2 includes: s2-1, acquiring real-time ambient wind speed and spraying distance; S2-2, discretizing a future period of time into a plurality of time periods, and obtaining the environmental wind speeds of the future time periods based on a real-time environmental wind speed sequence of the current time periods and the past time periods; And S2-3, inquiring the ambient wind speeds of a plurality of time periods in the current and the future based on a pre-configured response surface database by combining the spraying distance, a pre-configured flow coefficient, the spray hole area of the nozzle, the coating density and the coating viscosity to obtain the reference spraying pressure and the reference nozzle walking speed respectively corresponding to each time period in the future.
7. The method for controlling the thickness of the corrosion-resistant coating of the barrel-type foundation structure taking into consideration the multi-factor coupling according to claim 6, wherein the step S3 comprises: Step S3-1, initializing a correction sequence, wherein each element in the correction sequence corresponds to a spraying pressure correction amount and a nozzle walking speed correction amount of each future period; And S3-2, constructing an objective function according to the sum of film thickness control deviation and sum of spray pressure and nozzle travelling speed fluctuation of the minimum time period, iteratively updating the correction sequence to obtain an optimal correction sequence, and analyzing the optimal correction sequence into a spray pressure correction sequence and a nozzle travelling speed correction sequence.
8. The method for controlling the thickness of the corrosion-resistant coating of the barrel-type foundation structure taking into consideration the multi-factor coupling as set forth in claim 7, wherein the process of obtaining the deviation of the film thickness control in the single period in the step S3-2 is as follows: Analyzing the correction sequence to obtain a single-period spraying pressure correction amount and a nozzle traveling speed correction amount, and respectively superposing the spraying pressure correction amount and the nozzle traveling speed correction amount obtained by analysis to corresponding reference spraying pressure and reference nozzle traveling speed; Substituting the superimposed spraying pressure and the spraying nozzle travelling speed, the combination of the ambient wind speed and the spraying distance, the preconfigured flow coefficient, the spray hole area of the spraying nozzle, the coating density and the coating viscosity into a coating dry film thickness prediction model to obtain a first predicted film thickness, and calculating the difference between the target dry film thickness and the first predicted film thickness as film thickness control deviation.
9. A bucket foundation anti-corrosive coating thickness control apparatus taking into account multi-factor coupling, comprising a memory, a processor, and a program stored in said memory, wherein said processor implements the method of any of claims 1-8 when executing said program.
10. A storage medium having a program stored thereon, wherein the program, when executed, implements the method of any of claims 1-8.

Description

Barrel type foundation structure anti-corrosion coating thickness control method, device and medium considering multi-factor coupling effect Technical Field The invention relates to the technical field of electric digital data processing, in particular to a method, a device and a medium for controlling the thickness of an anticorrosive coating of a barrel-type foundation structure by considering multi-factor coupling effect. Background The barrel type foundation structure is increasingly applied to ocean engineering construction in China, is in a severe ocean corrosion environment for a long time, depends on a high-performance anti-corrosion coating to provide protection, and the thickness and uniformity of the coating are key indexes for determining the protection life of the barrel type foundation structure. The highest position of the anti-corrosion coating of the barrel-type foundation structure is about 30 meters away from the ground, the existing anti-corrosion operation mainly adopts a manual mode, belongs to high-altitude operation with higher danger, has the problems of low spraying operation efficiency, large influence of people on the coating quality, easiness in material waste and the like, and therefore, the intelligent anti-corrosion construction spraying equipment is developed to replace manual operation, and technical researches are developed from multiple aspects such as intelligent equipment development, technological parameter research, intelligent equipment construction technology and the like, so that unmanned spraying operation is necessary. Although some prior art, such as chinese patent CN116628875A, discloses a method and system for predicting the thickness of a coating film and coating parameters of a circular arc coating track, such a method is not suitable for intelligent coating operation of a bucket foundation structure. The intelligent spraying operation equipment of the barrel type foundation structure is a complex system under the multi-factor coupling effect, and has some problems and defects at present, firstly, technological parameters such as spraying pressure, nozzle moving speed and the like are set up according to manual experience before spraying operation, when the wind speed change is large, the film thickness is difficult to ensure to be uniform, and the coating quality is greatly influenced by human experience. Secondly, most of traditional film thickness prediction models are simple linear formulas, complex nonlinear coupling effects among various factors such as wind speed, spraying distance, paint viscosity and the like are not considered, and prediction accuracy is low. Thirdly, an effective real-time control means is lacking, when the wind speed changes, the spraying process parameters cannot be adjusted in time, so that the local film thickness is too thin and does not reach the standard, or the orange peel or sagging phenomenon occurs when the local coating is too thick, and the material waste is caused. Therefore, there is a need for a method of controlling the thickness of a corrosion-resistant coating of a bucket foundation structure that takes into account the multi-factor coupling effect. Disclosure of Invention The invention aims to solve the defects in the prior art and provide a method, a device and a medium for controlling the thickness of a barrel-type base structure anti-corrosion coating by considering multi-factor coupling effect. The aim of the invention can be achieved by the following technical scheme: A barrel type foundation structure anti-corrosion coating thickness control method considering multi-factor coupling effect comprises the following steps: S1, constructing a coating dry film thickness prediction model based on a simulation data set and a historical data set, wherein the input of the coating dry film thickness prediction model comprises a flow coefficient, a spray hole area of a spray nozzle, spray pressure, paint density, a spray nozzle travelling speed, a spray distance, an ambient wind speed and paint viscosity, and the output is the coating dry film thickness; s2, acquiring real-time environment wind speed and spraying distance, and acquiring reference spraying pressure and reference nozzle walking speed based on inquiry of a pre-configured response surface database by combining a pre-configured flow coefficient, the spray hole area of a nozzle, the coating density and the coating viscosity; S3, based on a coating dry film thickness prediction model, a spray pressure correction sequence and a spray nozzle traveling speed correction sequence are obtained by minimizing film thickness control deviation, spray pressure and a fluctuation target of the spray nozzle traveling speed in a future period of time; and S4, respectively adding the first elements in the spray pressure correction sequence and the nozzle travelling speed correction sequence to the corresponding reference spray pressure and the reference nozzle travelling s