A method for quantitative prediction of metal corrosion rate by atmospheric pollutants with multiple gas coupling

CN122506101APending Publication Date: 2026-08-04JIANGHAN UNIVERSITY
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202610535282.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-22
Publication Date
2026-08-04

AI Technical Summary

Technical Problem

工业工况环境中,硫化氢、氨气及氯离子是诱发腐蚀破坏的关键因子:硫化氢可与银、铜镀层反应生成硫化物,造成器件接触电阻急剧攀升;氨气易生成可溶性盐类破坏绝缘结构,并与其他腐蚀性气体协同加剧局部点蚀;而氯离子无法单独直接核算金属腐蚀速率,仅能作为隐性影响系数参与腐蚀体系作用

Benefits of technology

1.该多气体耦合作用的大气污染物对金属腐蚀速率的定量预测方法,通过系统化构建多气体耦合腐蚀速率计算模型,实现了对Cl-、H2S、NH3三大核心大气污染物腐蚀效应的全覆盖量化解析,有效攻克了现有技术中Cl-无法独立核算腐蚀速率的技术难点,将Cl-转化为专属腐蚀贡献项,与H2S、NH3实现精准耦合联动计算,通过引入温湿度分段修正函数,深度融合环境变量对腐蚀反应的调控作用,同时针对碳钢、锌、铜、铝四种典型金属构建材料特异性预测公式,优化H2S与NH3的气体权重算法,解决了原有模型中气体权重同质化、无法区分不同气体腐蚀贡献强度的缺陷,该多气体耦合作用的大气污染物对金属腐蚀速率的定量预测方法仅需输入现场环境参数和目标金属类型,即可快速、精准输出金属腐蚀速率及污染等级,显著提升了复杂工业大气环境下金属腐蚀速率的预测精度与可靠性,为工业设备、电子元器件的精准防护、服役寿命评估及环境污染等级管控提供了坚实的技术支撑,在大气腐蚀科学与工业防护技术领域具有重要的应用价值。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122506101A_ABST
    Figure CN122506101A_ABST
Patent Text Reader

Abstract

The application discloses a quantitative prediction method for atmospheric pollutant corrosion rate of metal under multi-gas coupling effect, relates to the technical field of atmospheric corrosion science and industrial protection, and comprises the following steps: step one, constructing a multi-gas corrosion rate calculation basic framework; taking the rate threshold value data of metal in a graded corrosion environment, the framework provides a unified operation platform for subsequent integration of other gases and adaptation of different metals. The quantitative prediction method for atmospheric pollutant corrosion rate of metal under multi-gas coupling effect realizes full-coverage quantitative analysis of the corrosion effects of three core atmospheric pollutants, namely Cl ‑ , H2S and NH3, effectively solves the technical difficulty that Cl ‑ cannot be independently calculated in the prior art, and realizes precise coupling and linkage calculation of Cl ‑ , H2S and NH3 by converting Cl into a dedicated corrosion contribution item.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] This invention relates to the fields of atmospheric corrosion science and industrial protection technology, specifically a method for quantitatively predicting the corrosion rate of metals caused by atmospheric pollutants with multi-gas coupling effects. Background Technology

[0002] Metal corrosion is a core cause of failure in industrial electronic components, seriously threatening the operational reliability of control systems and monitoring equipment, and easily leading to huge economic losses and major safety hazards. Electronic components mostly use metal conductors such as copper, silver, and gold, as well as alloy materials, with precise and delicate structures that are highly sensitive to environmental corrosion. In industrial environments, hydrogen sulfide, ammonia, and chloride ions are key factors inducing corrosion damage: hydrogen sulfide can react with silver and copper plating to form sulfides, causing a sharp increase in the contact resistance of the device; ammonia easily forms soluble salts that damage the insulation structure and, together with other corrosive gases, exacerbates localized pitting corrosion; while chloride ions cannot be directly used to calculate the metal corrosion rate on their own, but only participate in the corrosion system as a latent influence coefficient.

[0003] Existing conventional assessment methods mostly rely on corrosion thresholds corresponding to environmental classifications to construct single corrosion rate calculation models. These approaches fail to accurately quantify the independent corrosion contributions of hydrogen sulfide and ammonia to precision electronic components, nor do they reflect the synergistic enhancement effect when multiple gases coexist. Furthermore, traditional models do not include chloride ions in an independent accounting system, simply treating them as implicit coefficients, thus failing to achieve coupled calculations of chloride ions with hydrogen sulfide and ammonia, and also failing to deeply integrate the regulatory influence of key environmental variables such as temperature and humidity on the corrosion process. Ultimately, this results in significant prediction deviations in the corrosion rate of precision electronic components under real-world, complex industrial scenarios, making it difficult to meet the safety management and protection prediction requirements for high reliability and long service life of equipment. (The last sentence appears to be incomplete and possibly refers to a separate topic: "Cl...") - The basic corrosion contribution term and the H2S and NH3 coupled corrosion contribution term are integrated according to the core logic of "superposition". Temperature and humidity coupled correction term is introduced to restore the actual environmental influence, and finally the multi-gas synergistic total corrosion rate of the target metal is derived. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a quantitative prediction method for the corrosion rate of metals caused by atmospheric pollutants with multi-gas coupling effects, thus solving the problems mentioned in the background section.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants in multi-gas coupling, comprising the following steps, Step 1: Construct a basic framework for multi-gas corrosion rate calculation: Based on the rate threshold data of metals in graded corrosion environments, form an architecture with "gas-driven term + environmental correction term + material constant term" as the core. This framework provides a unified computing platform for subsequent integration of other gas contributions and adaptation to different metals, and determines the core computing logic of "superposition of various corrosion contribution terms". Step 2: Establish H2S weights and NH3 concentration-corrosion contribution functions: Based on the differentiated corrosion mechanisms of H2S corroding metals through electrochemical sulfidation and NH3 participating in corrosion through the formation of complexes or changes in local pH, establish the mathematical relationship between the concentrations and corrosion rates of the two gases respectively. By analyzing the overall corrosion rate thresholds corresponding to different corrosive environments, and combining the single-gas corrosion experimental data obtained under controlled conditions, the independent concentration-corrosion contribution functions of the two gases are derived, and the mathematical form of the functions is adjusted according to the metal type. Step 3: Introduce temperature and humidity correction terms to optimize the model's environmental adaptability: Add temperature T and relative humidity RH correction terms to the basic calculation framework, quantify the coupling effect of environmental variables on the corrosion reaction through a piecewise temperature function, and integrate the temperature and humidity correction terms into the contribution terms of each gas corrosion. Step four, construct material-specific corrosion rate expressions: Combining the framework, functions, and correction terms from steps one to three, establish complete prediction formulas for the four target metals: carbon steel, zinc, copper, and aluminum. The formulas include Cl... - The contribution item, which covers gas-driven, humidity-affected, and temperature-corrected factors, clarifies the Cl content of various metals under standard atmospheric conditions. - Weighting formula; Step 5: Optimize gas weights to differentiate the corrosion contributions of hydrogen sulfide and ammonia: Introduce a gas concentration-weighting factor-specific correlation function to construct a quantitative link of "concentration input-gas weight response-corrosion contribution". First, calculate the basic H2S weight values ​​for each metal, then define the H2S weight contribution coefficient: G H2S =X H2S / R H2S By comparing the differences between this coefficient and the NH3 weight, the corrosion intensity of the two on different metals can be distinguished. The basic H2S weight values ​​for each metal are as follows: Carbon steel: X H2S =Rcorr / exp(0.071) Zinc: X H2S =Rcorr / exp(0.900) Copper: X H2S =Rcorr / exp(1.011) Aluminum: X H2S =Rcorr / exp(0.547); Step 6, Coupling of multiple gases Cl -The metal corrosion rate formula for H2S / NH3: For the core corrosive medium of industrial atmosphere, the basic contribution term of a single corrosion factor is first derived. Then, temperature and humidity coupling corrections are introduced. Adjustment coefficients, functional forms, and temperature correction logic for the four metals are then integrated into a complete formula. The complete formulas for the four metals are as follows: Carbon steel: R=S d (Cl - )+G H2S ×R H2S ×exp(0.071)+G NH3 ×R NH3 ×exp(0.071) Zinc: R=S d (Cl - )+G H2S ×R H2S ×exp(0.900)+G NH3 ×R NH3 ×exp(0.900) Copper: R=S d (Cl - )+G H2S ×R H2S ×exp(1.011)+G NH3 ×R NH3 ×exp(1.011) Aluminum: R=S d (Cl - )+G H2S ×R H2S ×exp(0.547)+G NH3 ×R NH3 ×exp(0.547).

[0006] Furthermore, in step one, the gas-driven term takes the chloride ion deposition rate as the initial core and reserves flexible and expandable computing modules in the architecture for subsequent integration of other corrosive gases and adaptation to different types of metal materials.

[0007] Furthermore, in step two, the corrosion contribution of H2S to copper is simulated by a linear function to represent its rapid reaction characteristics, and the corrosion contribution to zinc is simulated by a power function, thereby achieving accurate and independent quantification of the corrosion effects of the two gases.

[0008] Furthermore, in step three, the temperature piecewise correction function calculates the corresponding correction values ​​for the two intervals T≦10℃ and T≧10℃, and then constructs the temperature and humidity correction terms through an exponential function to improve the model's adaptability in complex environments.

[0009] Furthermore, in step six, Cl - Deposition rate Sd(Cl) -The calculation uses either the measured method or the regional method, depending on whether there is accurate wind speed data on site and the actual situation.

[0010] Furthermore, the measured method calculates Cl - The formula for the deposition rate is Sd(Cl) - =0.08×L×t×1.8065×35.5×(10-A×V)÷(L×t)×1000×3, where A is the value measured by the chloride ion meter (PCL), V is the volume of deionized water (mL), L is the gas suction flow rate (L / min), and t is the sampling time (min).

[0011] Furthermore, the actual measurement method requires the simultaneous acquisition of four parameters: the chloride ion meter reading A, the deionized water volume V, the gas suction flow rate L, and the sampling time t, to ensure the accuracy of the calculation results.

[0012] Furthermore, the regional method matches corresponding Cl based on the salinity levels S0 / S1 / S2 / S3 of the monitoring points. - The deposition rate range, and thus the Cl - The specific values ​​of sedimentation rates, salinity levels, and sedimentation rate ranges correspond to the corrosion environment characteristics of the inland / coastal / nearshore areas within the monitoring point's region.

[0013] Furthermore, the Cl - Deposition rate Sd(Cl) - The standard unit for () is mg / m³ 2 Regardless of whether the measured method or the regional method is used, the final output is a value in this standard unit for subsequent corrosion rate calculation.

[0014] Furthermore, the method also includes steps for on-site parameter acquisition and preprocessing, pollution level determination, and result output. The on-site H2S and NH3 concentrations are collected in mg / m³. 3 Information on H2S and NH3 is provided, including / ppb, annual average temperature T℃, annual average relative humidity RH%, annual average wind speed Um / s, and metal type. The pollution level is determined separately for H2S and NH3 according to dual standards, and is divided into G1 (excellent) to GX (severe) pollution levels. Calculation parameters, corrosion rate, pollution level, and early warning information are output in real time.

[0015] This invention provides a quantitative prediction method for the corrosion rate of metals caused by atmospheric pollutants under multi-gas coupling, which has the following advantages: 1. This method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling effects achieves the prediction of Cl- corrosion rate by systematically constructing a multi-gas coupled corrosion rate calculation model. - A comprehensive quantitative analysis of the corrosive effects of the three core atmospheric pollutants, namely, H2S and NH3, effectively overcame the limitations of existing technologies in addressing the corrosion effects of Cl. -The technical challenge of being unable to independently calculate corrosion rates is that Cl - This method transforms atmospheric pollutants into dedicated corrosion contribution items, achieving precise coupling and linkage calculations with H2S and NH3. By introducing piecewise correction functions for temperature and humidity, it deeply integrates the regulatory effects of environmental variables on corrosion reactions. Furthermore, it constructs material-specific prediction formulas for four typical metals—carbon steel, zinc, copper, and aluminum—and optimizes the gas weighting algorithm for H2S and NH3. This addresses the shortcomings of the original model, such as homogenized gas weights and the inability to distinguish the corrosion contribution intensity of different gases. This quantitative prediction method for metal corrosion rates based on multi-gas coupling only requires input of on-site environmental parameters and the target metal type to quickly and accurately output the metal corrosion rate and pollution level. It significantly improves the prediction accuracy and reliability of metal corrosion rates in complex industrial atmospheric environments, providing solid technical support for precise protection of industrial equipment and electronic components, service life assessment, and environmental pollution level control. It has significant application value in the fields of atmospheric corrosion science and industrial protection technology. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of a method and detection device for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling. Figure 2 This is a line graph showing the corrosion rate of carbon steel under different parameters under standard atmospheric conditions, as measured in this invention. Detailed Implementation

[0017] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and should not be construed as limiting the scope of the invention.

[0018] like Figures 1-2 As shown, the present invention provides a technical solution: a method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants with multi-gas coupling effects, comprising the following steps, Step 1: Construct a basic framework for multi-gas corrosion rate calculation. Based on the rate threshold data of metals in graded corrosion environments, form an architecture with "gas-driven term + environmental correction term + material constant term" as the core. This framework provides a unified computing platform for subsequent integration of other gas contributions and adaptation to different metals. The core computing logic of "superposition of various corrosion contribution terms" is determined. In Step 1, the gas-driven term takes chloride ion deposition rate as the initial core. The architecture reserves flexible and expandable computing modules for subsequent integration of other corrosive gases and adaptation to different types of metal materials. Step 2: Establish H2S weights and NH3 concentration-corrosion contribution functions: Based on the differentiated corrosion mechanisms of H2S corroding metals through electrochemical sulfidation and NH3 participating in corrosion through complex formation or changes in local pH, mathematical relationships between the concentrations and corrosion rates of the two gases are established. By analyzing the overall corrosion rate thresholds corresponding to different corrosive environments, and combining the single-gas corrosion experimental data obtained under controlled conditions, independent concentration-corrosion contribution functions for the two gases are derived. The mathematical form of the functions is adjusted according to the metal type. In Step 2, the corrosion contribution of H2S to copper is simulated by a linear function to mimic its rapid reaction characteristics, while the corrosion contribution to zinc is simulated by a power function, achieving accurate and independent quantification of the corrosion effects of the two gases. Step 3: Introduce temperature and humidity correction terms to optimize the model's environmental adaptability: Add temperature T and relative humidity RH correction terms to the basic calculation framework. Quantify the coupled influence of environmental variables on the corrosion reaction through a piecewise temperature function. Integrate the temperature and humidity correction terms into the contribution terms of each gas corrosion. In Step 3, the piecewise temperature correction function calculates the corresponding correction values ​​for two intervals: T≦10℃ and T≧10℃. Then, construct the temperature and humidity correction terms through an exponential function to improve the model's adaptability in complex environments. Step four, construct material-specific corrosion rate expressions: Combining the framework, functions, and correction terms from steps one to three, establish complete prediction formulas for the four target metals: carbon steel, zinc, copper, and aluminum. The formulas include Cl... - The contribution item, which covers gas-driven, humidity-affected, and temperature-corrected factors, clarifies the Cl content of various metals under standard atmospheric conditions. - Weighting formula; Step 5: Optimize gas weights to differentiate the corrosion contributions of hydrogen sulfide and ammonia: Introduce a gas concentration-weighting factor-specific correlation function to construct a quantitative link of "concentration input-gas weight response-corrosion contribution". First, calculate the basic H2S weight values ​​for each metal, then define the H2S weight contribution coefficient: G H2S =X H2S / R H2S By comparing the differences between this coefficient and the NH3 weight, the corrosion intensity of the two on different metals can be distinguished. The basic H2S weight values ​​for each metal are as follows: Carbon steel: X H2S =Rcorr / exp(0.071) Zinc: X H2S =Rcorr / exp(0.900) Copper: X H2S =Rcorr / exp(1.011) Aluminum: X H2S =Rcorr / exp(0.547); Step 6, Coupling of multiple gases Cl -The metal corrosion rate formula for H2S / NH3: For the core corrosive medium of industrial atmosphere, the basic contribution term of a single corrosion factor is first derived. Then, temperature and humidity coupling corrections are introduced. Adjustment coefficients, functional forms, and temperature correction logic for the four metals are then integrated into a complete formula. The complete formulas for the four metals are as follows: Carbon steel: R=S d (Cl - )+G H2S ×R H2S ×exp(0.071)+G NH3 ×R NH3 ×exp(0.071) Zinc: R=S d (Cl - )+G H2S ×R H2S ×exp(0.900)+G NH3 ×R NH3 ×exp(0.900) Copper: R=S d (Cl - )+G H2S ×R H2S ×exp(1.011)+G NH3 ×R NH3 ×exp(1.011) Aluminum: R=S d (Cl - )+G H2S ×R H2S ×exp(0.547)+G NH3 ×R NH3 ×exp(0.547), in step six, Cl - Deposition rate Sd(Cl) - The calculation of Cl uses either the measured method or the regional method, depending on whether accurate wind speed data is available on-site and the actual situation. The measured method is used to calculate Cl. - The formula for the deposition rate is Sd(Cl) - The formula is: 0.08 × L × t × 1.8065 × 35.5 × (10 - A × V) ÷ (L × t) × 1000 × 3, where A is the chloride ion meter reading (PCL), V is the deionized water volume (mL), L is the gas flow rate (L / min), and t is the sampling time (min). The actual measurement method requires simultaneous collection of four parameters: chloride ion meter reading (A), deionized water volume (V), gas flow rate (L), and sampling time (t), to ensure the accuracy of the calculation results. The regional method matches the corresponding chloride ion level (S0 / S1 / S2 / S3) based on the salinity level of the monitoring point. - The deposition rate range, and thus the Cl -The specific numerical values ​​of sedimentation rate, the salinity level and sedimentation rate range correspond to the corrosion environment characteristics of the inland / coastal / nearshore area of ​​the monitoring point, and Cl - Deposition rate Sd(Cl) - The standard unit for () is mg / m³ 2 Regardless of whether the measured method or the regional method is used, the final output is a value in standard units for subsequent corrosion rate calculation. The method also includes steps for on-site parameter acquisition and preprocessing, pollution level determination and result output. On-site collected H2S and NH3 concentrations are in mg / m³. 3 Information on H2S and NH3 is provided, including / ppb, annual average temperature T℃, annual average relative humidity RH%, annual average wind speed Um / s, and metal type. The pollution level is determined separately for H2S and NH3 according to dual standards, and is divided into G1 (excellent) to GX (severe) pollution levels. Calculation parameters, corrosion rate, pollution level, and early warning information are output in real time.

[0019] In summary, as Figures 1-2 As shown, this method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants through multi-gas coupling involves on-site parameter acquisition and preprocessing. After selecting monitoring points, gas sensors, temperature and humidity sensors, and wind speed sensors are installed, ensuring sufficient contact between the sensors and the monitoring environment. On-site H2S and NH3 concentrations (unit: mg / m³) are collected. 3 The annual average temperature T (°C), annual average relative humidity RH (%), and annual average wind speed U (m / s) are used to measure the Cl- deposition rate. If actual measurement of the Cl- deposition rate is required, the following data should be recorded simultaneously: chloride ion meter reading A (PCL), deionized water volume V (mL), gas suction flow rate L (L / min), and sampling time t (min). The monitoring point's location (inland / coastal / nearshore) and the metal type whose corrosion rate is to be predicted (carbon steel / zinc / copper / aluminum) should be indicated. The deposition rate calculation and analysis module should select the appropriate Cl- deposition rate based on the availability of accurate wind speed data and the actual site conditions. - Deposition rate calculation method: Substitute the measured values ​​into the formula Sd(Cl) - ) = 0.08 × L × t × 1.8065 × 35.5 × (10 - A × V) ÷ (L × t) × 1000 × 3 (Chloride ion meter measured value A (PCL), deionized water volume V (mL), gas aspiration flow rate L (L / min), sampling time t (min)). The regional method matches the corresponding Cl based on the salinity level (S0 / S1 / S2 / S3) of the monitoring point. - The deposition rate range is determined, and specific values ​​are identified. The final output of Sd(Cl) is determined by the system. - Standard value (unit: mg / m³) 2 ·d), corrosion rate and gas weight calculation, based on the target metal type, using the corresponding temperature and humidity correction function and the material-specific corrosion rate formula, substituting into Sd(Cl) -) and temperature and humidity parameters, calculate Cl - The basic corrosion contribution term and basic corrosion rate of the metal are calculated, including Cl. - Cl - The basic corrosion contribution terms and their superimposed basic corrosion rates are identified. Then, considering the on-site concentrations of H2S and NH3, their specific concentration corrosion contribution functions are substituted to decompose and derive the independent basic corrosion contribution terms of H2S and NH3 step by step. The individual single-factor corrosion contribution values ​​of the three major corrosive media are clarified, and Cl... - The basic corrosion contribution and the H2S and NH3 coupled corrosion contribution are integrated according to the core logic of "superposition". A temperature and humidity coupling correction term is introduced to restore the actual environmental impact. Finally, the multi-gas synergistic total corrosion rate of the target metal is derived, and the pollution level is determined and the results are output. The level determination module performs single-gas pollution level determination for H2S and NH3 according to dual standards. The level is divided into G1-GX levels according to ppb, and the field threshold is in mg / m³. 3 The unit is divided into G1-GX levels; corresponding comprehensive levels are determined as G1 (excellent), G2 (good), G3 (light pollution), G4 (moderate pollution), G5 (heavy pollution), and GX (severe pollution); the results display module displays all calculation parameters, metal corrosion rate, single or comprehensive pollution level in real time, generates early warning information for gases with concentrations exceeding the threshold, and marks the gas type, concentration value, pollution level and status, completing the entire prediction and judgment process; Based on the above description, this invention achieves the calculation of corrosion rate for Cl by constructing a multi-gas coupled corrosion rate model. - This invention provides a comprehensive quantitative analysis of the corrosion effects of atmospheric pollutants such as H2S and NH3, deeply integrating the coupled influence of key environmental variables such as temperature, humidity, wind speed, and regional attributes. It establishes material-specific prediction formulas for four typical metals: carbon steel, zinc, copper, and aluminum. Simultaneously, it optimizes the gas weights of H2S and NH3, resolving the issue of homogeneous weights in the original model. This invention requires only input of on-site environmental parameters and the target metal type to quickly and accurately output metal corrosion rates and pollution levels, significantly improving the prediction accuracy and reliability of metal corrosion rates in complex industrial atmospheric environments. It provides a solid technical basis for precise protection, lifespan prediction, and environmental pollution level control of industrial equipment and electronic components, and has significant application value in the fields of atmospheric corrosion science and industrial protection technology.

[0020] The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and to design various embodiments with various modifications suitable for a particular purpose.

Claims

1. A method for quantitatively predicting the corrosion rate of metals caused by atmospheric pollutants in a multi-gas coupling process, characterized in that: Includes the following steps, Step 1: Construct a basic framework for multi-gas corrosion rate calculation: Based on the rate threshold data of metals in graded corrosion environments, form an architecture with "gas-driven term + environmental correction term + material constant term" as the core. This framework provides a unified computing platform for subsequent integration of other gas contributions and adaptation to different metals, and determines the core computing logic of "superposition of various corrosion contribution terms". Step 2: Establish H2S weights and NH3 concentration-corrosion contribution functions: Based on the differentiated corrosion mechanisms of H2S corroding metals through electrochemical sulfidation and NH3 participating in corrosion through the formation of complexes or changes in local pH, establish the mathematical relationship between the concentrations and corrosion rates of the two gases respectively. By analyzing the overall corrosion rate thresholds corresponding to different corrosive environments, and combining the single-gas corrosion experimental data obtained under controlled conditions, the independent concentration-corrosion contribution functions of the two gases are derived, and the mathematical form of the functions is adjusted according to the metal type. Step 3: Introduce temperature and humidity correction terms to optimize the model's environmental adaptability: Add temperature T and relative humidity RH correction terms to the basic calculation framework, quantify the coupling effect of environmental variables on the corrosion reaction through a piecewise temperature function, and integrate the temperature and humidity correction terms into the contribution terms of each gas corrosion. Step four, construct material-specific corrosion rate expressions: Combining the framework, functions, and correction terms from steps one to three, establish complete prediction formulas for the four target metals: carbon steel, zinc, copper, and aluminum. The formulas include Cl... - The contribution item, which covers gas-driven, humidity-affected, and temperature-corrected factors, clarifies the Cl content of various metals under standard atmospheric conditions. - Weighting formula; Step 5: Optimize gas weights to differentiate the corrosion contributions of hydrogen sulfide and ammonia: Introduce a gas concentration-weighting factor-specific correlation function to construct a quantitative link of "concentration input-gas weight response-corrosion contribution". First, calculate the basic H2S weight values ​​for each metal, then define the H2S weight contribution coefficient: G H2S =X H2S / R H2S By comparing the differences between this coefficient and the NH3 weight, the corrosion intensity of the two on different metals can be distinguished. The basic H2S weight values ​​for each metal are as follows: Carbon steel: X H2S =Rcorr / exp(0.071) Zinc: X H2S =Rcorr / exp(0.900) Copper: X H2S =Rcorr / exp(1.011) Aluminum: X H2S =Rcorr / exp(0.547); Step 6, Coupling of multiple gases Cl - The metal corrosion rate formula for H2S / NH3: For the core corrosive medium of industrial atmosphere, the basic contribution term of a single corrosion factor is first derived. Then, temperature and humidity coupling corrections are introduced. Adjustment coefficients, functional forms, and temperature correction logic for the four metals are then integrated into a complete formula. The complete formulas for the four metals are as follows: Carbon steel: R=S d (Cl - )+G H2S ×R H2S ×exp(0.071)+G NH3 ×R NH3 ×exp(0.071) Zinc: R=S d (Cl - )+G H2S ×R H2S ×exp(0.900)+G NH3 ×R NH3 ×exp(0.900) Copper: R=S d (Cl - )+G H2S ×R H2S ×exp(1.011)+G NH3 ×R NH3 ×exp(1.011) Aluminum: R=S d (Cl - )+G H2S ×R H2S ×exp(0.547)+G NH3 ×R NH3 ×exp(0.547).

2. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 1, characterized in that: In step one, the gas-driven term takes the chloride ion deposition rate as the initial core, and the architecture reserves flexible and expandable computing modules for subsequent integration of other corrosive gases and adaptation to different types of metal materials.

3. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 1, characterized in that: In step two, the corrosion contribution of H2S to copper is simulated by a linear function to represent its rapid reaction characteristics, while the corrosion contribution to zinc is simulated by a power function, thus achieving accurate and independent quantification of the corrosion effects of the two gases.

4. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 1, characterized in that: In step three, the temperature piecewise correction function calculates the corresponding correction values ​​for the two intervals T≦10℃ and T≧10℃, and then constructs the temperature and humidity correction terms through the exponential function to improve the model's adaptability in complex environments.

5. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 1, characterized in that: In step six, Cl - Deposition rate Sd(Cl) - The calculation uses either the measured method or the regional method, depending on whether there is accurate wind speed data on site and the actual situation.

6. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 5, characterized in that: The measured method calculates Cl - The formula for the deposition rate is Sd(Cl) - =0.08×L×t×1.8065×35.5×(10-A×V)÷(L×t)×1000×3, where A is the value measured by the chloride ion meter (PCL), V is the volume of deionized water (mL), L is the gas suction flow rate (L / min), and t is the sampling time (min).

7. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 6, characterized in that: The experimental method requires the simultaneous acquisition of four parameters: the chloride ion meter reading A, the deionized water volume V, the gas suction flow rate L, and the sampling time t, to ensure the accuracy of the calculation results.

8. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 5, characterized in that: The regional method matches corresponding Cl based on the salinity levels S0 / S1 / S2 / S3 of the monitoring points. - The deposition rate range, and thus the Cl - The specific values ​​of sedimentation rates, salinity levels, and sedimentation rate ranges correspond to the corrosion environment characteristics of the inland / coastal / nearshore areas within the monitoring point's region.

9. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 8, characterized in that: The Cl - Deposition rate Sd(Cl) - The standard unit for () is mg / m³ 2 Regardless of whether the measured method or the regional method is used, the final output is a value in this standard unit for subsequent corrosion rate calculation.

10. The method for quantitatively predicting the corrosion rate of metals by atmospheric pollutants under multi-gas coupling as described in claim 9, characterized in that: The method also includes steps for on-site parameter acquisition and preprocessing, pollution level determination and result output. On-site H2S and NH3 concentrations are collected in mg / m³. 3 Information on H2S and NH3 is provided, including / ppb, annual average temperature T℃, annual average relative humidity RH%, annual average wind speed Um / s, and metal type. The pollution level is determined separately for H2S and NH3 according to dual standards, and is divided into G1 (excellent) to GX (severe) pollution levels. Calculation parameters, corrosion rate, pollution level, and early warning information are output in real time.