Aluminum alloy anodic oxidation process parameter control method and system based on environmental protection

Abstract

The invention relates to the technical field of anodic oxidation, in particular to an aluminum alloy anodic oxidation process parameter control method and system based on environmental protection, and the method comprises the following steps: based on the anodic oxidation requirements of an aluminum alloy, including the thickness of an oxidation layer, the adjustment of anodic oxidation electrolysis voltage and current, and the matching of the physical characteristics and anodic oxidation requirements of the aluminum alloy; and anodic oxidation parameter optimization information is obtained. According to the method, through dynamic adjustment of electrolysis parameters in the aluminum alloy anodic oxidation process, electric energy consumption is reduced, the temperature of the electrolyte is dynamically adjusted, the oxidation rate is increased, efficient utilization of electrolysis materials is achieved, the utilization rate of the electrolysis materials is optimized, and resource waste and environmental pollution are reduced; by collecting and analyzing energy consumption data and processing efficiency data and regularly evaluating the energy efficiency ratio of the anodic oxidation electrolysis equipment, the equipment maintenance period is optimized, it is ensured that the equipment runs in the optimal state for a long time, energy consumption in the anodic oxidation process is reduced, and continuous stability and high efficiency of the production process are ensured.

Description

Technical Field

[0001] The present invention relates to the field of anodizing technology, and in particular to an environmentally friendly method and system for controlling process parameters of anodizing of aluminum alloys. Background Art

[0002] The field of anodizing technology involves the use of electrochemical treatment methods to enhance the surface properties of metals and alloys. Anodizing technology uses an electric current to pass through an electrolyte to form an oxide layer on the metal surface. The oxide layer not only improves the corrosion resistance, wear resistance and aesthetics of the metal, but also enhances the insulation of the metal. The thickness, structure and properties of the anodized layer can be precisely adjusted by controlling the electrolysis parameters such as voltage, current, electrolyte composition and temperature. Anodizing technology is widely used in a variety of fields such as aerospace, automotive, construction and consumer electronics to produce functional or decorative protective layers.

[0003] Among them, the aluminum alloy anodizing process parameter control method involves the parameter control of the surface treatment of aluminum alloy materials using anodizing technology. Aluminum alloy anodizing aims to improve the surface hardness and durability of the material by building a dense aluminum oxide protective layer, while providing better aesthetics. This treatment not only enhances the corrosion resistance and wear resistance of aluminum alloys, but also increases the beauty and recognition through coloring treatment, making it widely used in applications such as industrial design, automotive parts, architectural decoration and electronic equipment housings.

[0004] Traditional anodizing methods are relatively fixed in terms of electrolysis parameter control, resulting in suboptimal electrolysis efficiency and material utilization. Fixed electrolysis parameter settings cannot adapt to all working environments or material changes, affecting the quality and uniformity of the oxide layer. At the same time, high energy consumption and lack of dynamic energy efficiency monitoring and maintenance strategy adjustment lead to excessive use or premature maintenance of equipment before the optimal maintenance time point, increasing additional maintenance costs and downtime, affecting production efficiency and product quality, and not only increasing production costs, but also affecting the company's sustainable development goals due to inefficiency and material waste. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an environmentally friendly aluminum alloy anodizing process parameter control method and system.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: an environmentally friendly aluminum alloy anodizing process parameter control method, comprising the following steps: S1: Based on the anodizing requirements of aluminum alloy, including the thickness of the oxide layer, the anodizing electrolysis voltage and current are adjusted to match the physical properties of the aluminum alloy and the anodizing requirements, and the anodizing parameter optimization information is obtained; S2: Based on the anodizing parameter optimization information, dynamically adjust the temperature of the anodizing electrolyte according to the pH value and chemical composition of the anodizing electrolyte to obtain optimized electrolyte information; S3: Based on the optimized electrolyte information and the oxidation parameter optimization information, the energy consumption data in the anodizing process and the processing efficiency data of the aluminum alloy anodizing are collected, the energy efficiency ratio of the anodizing electrolysis equipment is calculated, and the rate of change of the energy efficiency ratio is calculated based on the energy efficiency ratio data over a period of time to obtain energy efficiency evaluation information; S4: Based on the energy efficiency evaluation information and according to the historical maintenance data of the aluminum alloy anodizing electrolysis equipment, the impact of maintenance activities on the energy efficiency ratio of the anodizing electrolysis equipment is evaluated, the maintenance cycle of the anodizing electrolysis equipment is adjusted, the energy efficiency ratio of the anodizing electrolysis equipment is maintained at a target level, and optimized energy efficiency maintenance information is obtained.

[0007] The present invention has the following improvements: the step of obtaining the anodizing parameter optimization information: S111: Based on the aluminum alloy to be anodized, obtaining physical property parameters of the aluminum alloy, the physical property parameters including electrical conductivity and resistivity of the aluminum alloy material; S112: Based on the physical property parameters and the anodizing requirements of the aluminum alloy, the formula is:

[0008]

[0009] Calculating the adjusted anodizing electrolysis voltage and the adjusted anodizing electrolysis current to obtain anodizing parameter optimization information; in, and are the basic voltage and current parameters, represents the target thickness of the anodized layer, represents the conductivity, represents the resistivity, is the adjusted anodizing electrolysis voltage, is the adjusted anodic oxidation electrolysis current.

[0010] The present invention is improved in that the step of obtaining the optimized electrolyte information is: S211: obtaining a target temperature range during the electrolysis process of the anodizing electrolyte according to the characteristics of the anodizing electrolyte, including the pH value and chemical composition of the anodizing electrolyte; S212: Based on the target temperature range, by formula:

[0011] Calculate the adjusted electrolysis temperature , get the optimized electrolyte information; in, is the adjusted electrolysis temperature, is the current electrolyte temperature, is the average target temperature, is the temperature regulation coefficient, is the temperature sensitivity coefficient, is the base of natural logarithms.

[0012] The present invention is improved in that the method for calculating the energy efficiency ratio of the anodizing electrolysis equipment is: S311: Collect energy consumption data during anodizing and processing efficiency data of aluminum alloy anodizing to obtain energy consumption and efficiency data; S312: Based on the energy consumption and efficiency data, the formula:

[0013] Calculating the Energy Efficiency Ratio of Anodic Oxidation Electrolysis Equipment , according to the energy efficiency ratio of anodizing electrolysis equipment The value is used to evaluate the energy efficiency ratio of the anodizing electrolysis equipment and obtain the energy efficiency ratio evaluation information; in, Represents processing efficiency, Represents energy consumption, measured in kilowatt-hours, and is the adjustment parameter, is the energy efficiency ratio of anodizing electrolysis equipment.

[0014] The present invention is improved in that the step of obtaining the energy efficiency evaluation information is: S321: Based on the energy efficiency ratio evaluation information, collect energy efficiency ratio data within a period of time to obtain an energy efficiency ratio data set; S322: Based on the energy efficiency ratio data set, by formula:

[0015] Calculate the rate of change of energy efficiency ratio , according to the rate of change of energy efficiency ratio The positive and negative and size of the energy efficiency change of the anodizing electrolysis equipment are evaluated to obtain energy efficiency evaluation information; in, and Represents the energy efficiency ratio of two consecutive time points, is the weight coefficient, is the time interval, is the total number of data points, is the index.

[0016] The present invention is improved in that the method for evaluating the influence of maintenance activities on the energy efficiency ratio of anodizing electrolysis equipment is: S411: Collect historical maintenance data of anodizing electrolysis equipment, including maintenance date, maintenance type and energy efficiency ratio change data after maintenance; S412: Based on the historical maintenance data, by formula:

[0017] Calculate the impact index of maintenance activities on energy efficiency ratio ; in, is the impact index of maintenance activities on energy efficiency ratio, and Respectively represent Energy efficiency ratio before and after maintenance, Is maintenance type The effect coefficient, is the frequency weight of the maintenance activity, is the number of maintenance times.

[0018] The present invention is improved in that the step of obtaining the optimized energy efficiency maintenance information is as follows: S421: Based on the impact index of the maintenance activity on the energy efficiency ratio , obtain the benchmark maintenance cycle of anodizing electrolysis equipment ; S422: Based on the benchmark maintenance cycle of the anodizing electrolysis equipment , combined with the current energy efficiency ratio , target energy efficiency ratio and energy efficiency ratio change rate , through the formula:

[0019] Calculate the adjusted maintenance interval , obtain optimized energy efficiency maintenance information; in, is the adjustment factor, is the benchmark maintenance cycle, is the current energy efficiency ratio, is the target energy efficiency ratio, is the impact of maintenance activities on the energy efficiency ratio, is the rate of change of energy efficiency ratio, is the adjusted maintenance cycle.

[0020] An environmentally friendly aluminum alloy anodizing process parameter control system, the system includes: The parameter optimization module adjusts the anodizing electrolysis voltage and current based on the anodizing requirements of aluminum alloys and the physical properties of aluminum alloys, optimizes the energy consumption during the electrolysis process, and generates parameter optimization data; The electrolyte management module dynamically adjusts the electrolyte temperature based on the parameter optimization data and the pH value and chemical composition of the electrolyte, optimizes the anodizing rate and the consumption of the electrolytic material, and obtains an optimized electrolyte configuration; The energy efficiency monitoring module monitors the energy consumption data in the anodizing process and the processing efficiency data of the aluminum alloy anodizing based on the parameter optimization data and the optimized electrolyte configuration, calculates the energy efficiency ratio of the anodizing electrolysis equipment, and obtains energy efficiency ratio data information; The efficiency evaluation module obtains energy efficiency ratio data within a period of time based on the energy efficiency ratio data information, evaluates the energy efficiency ratio change rate, and obtains energy efficiency evaluation information; The maintenance strategy module analyzes the impact of maintenance activities on the energy efficiency ratio of the anodizing electrolysis equipment based on the energy efficiency evaluation information, adjusts the maintenance cycle of the anodizing electrolysis equipment, and generates optimized energy efficiency maintenance information.

[0021] Compared with the prior art, the advantages and positive effects of the present invention are: In the present invention, by dynamically adjusting the electrolysis parameters during the anodizing process of aluminum alloy, the power consumption is reduced, the temperature of the electrolyte is dynamically adjusted, the oxidation rate is accelerated, the efficient utilization of the electrolytic material is achieved, the quality and aesthetics of the product are improved, the utilization rate of the electrolytic material is optimized, the waste of resources and environmental pollution are reduced, and by collecting and analyzing energy consumption data and processing efficiency data, the energy efficiency ratio of the anodizing electrolysis equipment is regularly evaluated, the equipment maintenance cycle is optimized, and the equipment is ensured to operate in the best state for a long time, the energy consumption during the anodizing process is reduced, the continuous stability and high efficiency of the production process are ensured, and the production cost is reduced at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 is a flow chart of the method of the present invention; Figure 2 A flow chart for obtaining anodizing parameter optimization information for the present invention; Figure 3 A flow chart for obtaining optimized electrolyte information for the present invention; Figure 4 A flow chart for calculating the energy efficiency ratio of anodizing electrolysis equipment according to the present invention; Figure 5 A flow chart for obtaining energy efficiency evaluation information for the present invention; Figure 6 A flow chart for evaluating the effect of maintenance activities on the energy efficiency ratio of anodizing electrolysis equipment for the present invention; Figure 7A flow chart of obtaining optimized energy efficiency maintenance information for the present invention. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0024] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined. Example

[0025] See also Figure 1 The present invention provides a technical solution: an environmentally friendly aluminum alloy anodizing process parameter control method, comprising the following steps: S1: Based on the anodizing requirements of aluminum alloy, including the thickness of the oxide layer, adjust the anodizing electrolysis voltage and current to match the physical properties of aluminum alloy and the anodizing requirements, and optimize the energy consumption during the electrolysis process to obtain anodizing parameter optimization information; S2: Based on the anodizing parameter optimization information, the anodizing electrolyte temperature is dynamically adjusted according to the pH value and chemical composition of the anodizing electrolyte, the anodizing rate and the consumption of the electrolytic material are optimized, the utilization rate of the electrolytic material is improved, and the optimized electrolyte information is obtained; S3: Based on the optimized electrolyte information and the optimized oxidation parameter information, the energy consumption data in the anodizing process and the processing efficiency data of the aluminum alloy anodizing are collected, the energy efficiency ratio of the anodizing electrolysis equipment is calculated, and the rate of change of the energy efficiency ratio is calculated based on the energy efficiency ratio data over a period of time to obtain the energy efficiency evaluation information; S4: Based on the energy efficiency assessment information and according to the historical maintenance data of the aluminum alloy anodizing electrolysis equipment, evaluate the impact of maintenance activities on the energy efficiency ratio of the anodizing electrolysis equipment, adjust the maintenance cycle of the anodizing electrolysis equipment, maintain the energy efficiency ratio of the anodizing electrolysis equipment at the target level, and obtain optimized energy efficiency maintenance information.

[0026] The anodizing parameter optimization information includes the adjusted current, voltage and electrolysis time; the electrolyte optimization information includes the adjusted temperature and temperature stability data; the energy efficiency evaluation information includes the total energy consumption, energy efficiency ratio and energy efficiency ratio change rate of the equipment; the energy efficiency maintenance optimization information includes the optimized maintenance cycle, the expected maintenance cost savings and the optimized equipment operation efficiency.

[0027] See also Figure 2 , steps to obtain the optimization information of anodizing parameters: S111: Based on the aluminum alloy to be anodized, obtaining physical property parameters of the aluminum alloy, the physical property parameters including electrical conductivity and resistivity of the aluminum alloy material; S112: Based on the physical property parameters and the anodizing requirements of aluminum alloys, the formula is:

[0028]

[0029] Calculating the adjusted anodizing electrolysis voltage and the adjusted anodizing electrolysis current to obtain anodizing parameter optimization information; in, and are the basic voltage and current parameters, represents the target thickness of the anodized layer, represents the conductivity, represents the resistivity, is the adjusted anodizing electrolysis voltage, is the adjusted anodic oxidation electrolysis current.

[0030] formula:

[0031]

[0032] Parameter details and how to obtain them: and It is the base voltage and current value, which is preset based on the basic physical properties of aluminum alloy, such as conductivity and resistivity. It is usually determined by engineers through laboratory testing or according to manufacturing specifications.

[0033] Conductivity and resistivity It is obtained through standard physical tests, which measure the ability of a material to conduct electricity and its resistance under given conditions.

[0034] Represents the target thickness of the desired oxide layer, determined based on product design requirements or customer specifications.

[0035] Calculation example: Assumptions: ,. , , , .

[0036] The calculation is as follows:

[0037]

[0038] calculate , ,so

[0039] For current: , , so so

[0040] Calculation results and Indicates the adjusted voltage and current values ​​to achieve the desired anodizing effect.

[0041] See also Figure 3 , the steps to obtain the optimized electrolyte information are: S211: obtaining a target temperature range during the electrolysis process of the anodizing electrolyte according to the characteristics of the anodizing electrolyte, including the pH value and chemical composition of the anodizing electrolyte; S212: Based on the target temperature range, by formula:

[0042] Calculate the adjusted electrolysis temperature , get the optimized electrolyte information; in, is the adjusted electrolysis temperature, is the current electrolyte temperature, is the average target temperature, is the temperature regulation coefficient, is the temperature sensitivity coefficient, is the base of natural logarithms.

[0043] formula:

[0044] Parameter details and how to obtain them: The actual temperature of the current electrolyte is obtained by real-time measurement through the temperature sensor in the electrolyte.

[0045] is the average value of the target temperature range, calculated as ,in, and It is the target temperature range for anodizing, set by engineers based on material processing specifications.

[0046] It is the temperature regulation coefficient, which is used to control the sensitivity of temperature regulation. The coefficient is optimized based on historical data and experiments to ensure the system response speed and stability.

[0047] It is the temperature sensitivity coefficient, which is used to adjust the influence of the exponential part in the formula and its value is determined through experiments.

[0048] Calculation example: Assumptions: (Current electrolyte temperature) ,

[0049] (Temperature Regulation Factor) (Temperature sensitivity coefficient) calculate :

[0050] Absolute Difference :

[0051] calculate :

[0052] The calculation example shows that the current temperature is already at the target average temperature, so there is no need to make adjustments.

[0053] See also Figure 4 , the method for calculating the energy efficiency ratio of anodizing electrolysis equipment is: S311: Collect energy consumption data during anodizing and processing efficiency data of aluminum alloy anodizing to obtain energy consumption and efficiency data; S312: Based on energy consumption and efficiency data, through the formula:

[0054] Calculating the Energy Efficiency Ratio of Anodic Oxidation Electrolysis Equipment , according to the energy efficiency ratio of anodizing electrolysis equipment The value is used to evaluate the energy efficiency ratio of the anodizing electrolysis equipment and obtain the energy efficiency ratio evaluation information; in, Represents processing efficiency, Represents energy consumption, measured in kilowatt-hours, and is the adjustment parameter, is the energy efficiency ratio of anodizing electrolysis equipment.

[0055] formula:

[0056] Parameter details and how to obtain them: Represents processing efficiency, that is, the quality of aluminum alloy processed per unit time. The data is usually directly recorded and obtained through the production monitoring system, such as how many kilograms of aluminum alloy are processed per hour.

[0057] Represents energy consumption, which is obtained by recording the total power consumption of the anodizing electrolysis equipment through the energy monitoring system.

[0058] and It is an adjustment parameter. The parameter is determined based on historical data analysis and is used to adjust the weight of processing efficiency and energy consumption in the energy efficiency ratio calculation under different operating conditions. It can be preset by experts.

[0059] Calculation example: Assumptions: kg / h.

[0060] kWh means 150 kilowatt-hours of energy is consumed in one hour.

[0061] Setting adjustment parameters and .

[0062] The calculation formula is as follows:

[0063]

[0064] Calculate the median value:

[0065]

[0066]

[0067] Substitute into the calculation:

[0068]

[0069]

[0070] Calculation results Indicates energy efficiency ratio. The higher the value, the higher the energy efficiency ratio.

[0071] See also Figure 5 , the steps for obtaining energy efficiency assessment information are: S321: Based on the energy efficiency ratio evaluation information, collect energy efficiency ratio data within a period of time to obtain an energy efficiency ratio data set; S322: Based on the energy efficiency ratio data set, through the formula:

[0072] Calculate the rate of change of energy efficiency ratio , according to the rate of change of energy efficiency ratio The positive and negative and size of the energy efficiency change of the anodizing electrolysis equipment are evaluated to obtain energy efficiency evaluation information; in, and Represents the energy efficiency ratio of two consecutive time points, is the weight coefficient, is the time interval, is the total number of data points, is the index.

[0073] formula:

[0074] Parameter details and how to obtain them: and is the energy efficiency ratio of two consecutive time points, calculated by the previous steps.

[0075] is the time interval between two data records. The value is determined according to the configuration of the actual monitoring system. For example, if the data is recorded once an hour, For 1 hour.

[0076] is the total number of data points and determines the size of the entire dataset.

[0077] It is the weight coefficient of the data at each time point. The coefficient can be assigned different weights according to the reliability of the data or the importance of certain time points in the analysis. The setting of weights can be based on past experience or data quality assessment.

[0078] Calculation example: Assume the following data points and weights: , , : Energy efficiency ratio for three consecutive hours.

[0079] , .

[0080] Hour, which means the data is recorded hourly.

[0081] , which means there are data from three time points.

[0082] The calculation formula is as follows:

[0083] Specific calculation steps: calculate

[0084] calculate

[0085] Apply weights:

[0086] Sum:

[0087] Substitute into the formula to calculate the rate of change:

[0088] Calculation results It means that within a given time, the average hourly energy efficiency ratio changes at a rate of approximately unit.

[0089] See also Figure 6 , the method for evaluating the impact of maintenance activities on the energy efficiency ratio of anodizing electrolysis equipment is: S411: Collect historical maintenance data of anodizing electrolysis equipment, including maintenance date, maintenance type and energy efficiency ratio change data after maintenance; S412: Based on historical maintenance data, by formula:

[0090] Calculate the impact index of maintenance activities on energy efficiency ratio ; in, is the impact index of maintenance activities on energy efficiency ratio, and Respectively represent Energy efficiency ratio before and after maintenance, Is maintenance type The effect coefficient, is the frequency weight of the maintenance activity, is the number of maintenance times.

[0091] formula:

[0092] Parameter details and how to obtain them: and :Represents Energy efficiency ratio before and after maintenance activities. The data is usually automatically recorded by the equipment monitoring system before and after maintenance activities.

[0093] : According to the maintenance type Defined effect coefficient. Different types of maintenance have different effects on equipment performance, and this coefficient is used to quantify the degree to which the type of maintenance affects the energy efficiency ratio. For example, replacing a critical component may have a high coefficient, while simple cleaning may have a low coefficient.

[0094] : It is the frequency weight of the maintenance activity, which represents the proportion and importance of this type of maintenance in all maintenance activities. High-frequency or critical maintenance activities will have a higher weight.

[0095] : The number of maintenance activities, counted directly from the equipment maintenance records.

[0096] Calculation example: Assume the following: The equipment underwent three maintenance activities. They are 50, 55, 53 respectively. They are 48, 52 and 50 respectively.

[0097] Effect coefficient of maintenance type They are 1.2, 1.5 and 1.1 respectively.

[0098] Maintained frequency weight They are 1, 2, and 1 respectively, indicating that the second maintenance is more frequent or critical than the other two.

[0099] .

[0100] The calculation formula is as follows:

[0101] Specific calculation steps:

[0102]

[0103]

[0104] Apply weights and effect coefficient calculations:

[0105]

[0106]

[0107] Sum:

[0108] Sum of weights:

[0109] Calculate maintenance impact:

[0110] Calculation results This means that during this period, each maintenance activity increased the energy efficiency ratio by 2.55 units on average, reflecting the positive impact of maintenance activities on equipment energy efficiency.

[0111] See also Figure 7 ,The steps to obtain the optimized energy efficiency maintenance information are: S421: Impact index of maintenance activities on energy efficiency ratio , obtain the benchmark maintenance cycle of anodizing electrolysis equipment ; S422: Benchmark maintenance cycle based on anodizing electrolysis equipment , combined with the current energy efficiency ratio , target energy efficiency ratio and energy efficiency ratio change rate , through the formula:

[0112] Calculate the adjusted maintenance interval , obtain optimized energy efficiency maintenance information; in, is the adjustment factor, is the benchmark maintenance cycle, is the current energy efficiency ratio, is the target energy efficiency ratio, is the impact of maintenance activities on the energy efficiency ratio, is the rate of change of energy efficiency ratio, is the adjusted maintenance cycle.

[0113] formula:

[0114] Parameter details and how to obtain them: : Benchmark maintenance cycle refers to the recommended maintenance interval for equipment under standard operating conditions, usually determined by the equipment manufacturer or historical maintenance experience.

[0115] : Current energy efficiency ratio, calculated through the previous steps. : Target energy efficiency ratio is a performance goal set by the enterprise or equipment management team, aiming to operate the equipment above this ratio.

[0116] : The impact of maintenance activities on the energy efficiency ratio, calculated through the previous steps.

[0117] : Energy efficiency ratio change rate, calculated through the previous steps.

[0118] : Adjustment coefficient, obtained based on the responsiveness of the equipment and the analysis of historical maintenance data, is used to adjust the sensitivity of maintenance cycle adjustment.

[0119] Calculation example: Assumed parameter values: Benchmark maintenance cycle Month Current energy efficiency ratio (Energy efficiency unit) Target energy efficiency ratio (Energy efficiency unit) Energy efficiency ratio change rate (Indicates that the energy efficiency ratio decreases by 0.5 units per month) Impact of maintenance activities on energy efficiency ratio (Energy efficiency unit) Adjustment factor

[0120] Calculation process: Determine the difference between the current energy efficiency ratio and the target energy efficiency ratio:

[0121] A positive value indicates that the current energy efficiency ratio is above the target level.

[0122] Apply the improved formula to adjust the maintenance cycle:

[0123] Substituting the values:

[0124]

[0125]

[0126]

[0127]

[0128] Calculated maintenance intervals It is about 8.16 months, indicating that in order to maintain the current energy efficiency ratio higher than the target energy efficiency ratio, the maintenance cycle needs to be shortened from the original 12 months to about 8 months.

[0129] Environmentally friendly aluminum alloy anodizing process parameter control system, the system includes: The parameter optimization module adjusts the anodizing electrolysis voltage and current based on the anodizing requirements of aluminum alloys and the physical properties of aluminum alloys, optimizes the energy consumption during the electrolysis process, and generates parameter optimization data; The electrolyte management module dynamically adjusts the electrolyte temperature based on the parameter optimization data, the pH value and the chemical composition of the electrolyte, optimizes the anodizing rate and the consumption of the electrolytic material, and obtains the optimized electrolyte configuration; The energy efficiency monitoring module monitors the energy consumption data in the anodizing process and the processing efficiency data of aluminum alloy anodizing based on parameter optimization data and optimized electrolyte configuration, calculates the energy efficiency ratio of the anodizing electrolysis equipment, and obtains energy efficiency ratio data information; The efficiency evaluation module obtains energy efficiency ratio data within a period of time based on the energy efficiency ratio data information, evaluates the rate of change of the energy efficiency ratio, and obtains energy efficiency evaluation information; The maintenance strategy module analyzes the impact of maintenance activities on the energy efficiency ratio of anodizing electrolysis equipment based on energy efficiency evaluation information, adjusts the maintenance cycle of anodizing electrolysis equipment, and generates optimized energy efficiency maintenance information.

[0130] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. Aluminum alloy anodizing process parameter control method based on environmental protection, It is characterized in that The following steps are involved: Based on the anodizing requirements of aluminum alloys, including the thickness of the oxide layer, the anodizing electrolysis voltage and current are adjusted to match the physical properties of the aluminum alloy with the anodizing requirements, and the anodizing parameter optimization information is obtained; Based on the anodizing parameter optimization information, dynamically adjusting the temperature of the anodizing electrolyte according to the pH value and chemical composition of the anodizing electrolyte to obtain optimized electrolyte information; Based on the optimized electrolyte information and the oxidation parameter optimization information, the energy consumption data in the anodizing process and the processing efficiency data of the aluminum alloy anodizing are collected, the energy efficiency ratio of the anodizing electrolysis equipment is calculated, and the rate of change of the energy efficiency ratio is calculated based on the energy efficiency ratio data over a period of time to obtain energy efficiency evaluation information; Based on the energy efficiency evaluation information and according to the historical maintenance data of the aluminum alloy anodizing electrolysis equipment, the impact of maintenance activities on the energy efficiency ratio of the anodizing electrolysis equipment is evaluated, the maintenance cycle of the anodizing electrolysis equipment is adjusted, the energy efficiency ratio of the anodizing electrolysis equipment is maintained at a target level, and optimized energy efficiency maintenance information is obtained.

2. The environmentally friendly aluminum alloy anodizing process parameter control method according to claim 1, It is characterized in that The steps for obtaining the anodizing parameter optimization information are as follows: Based on the aluminum alloy to be anodized, obtaining physical property parameters of the aluminum alloy, the physical property parameters including electrical conductivity and resistivity of the aluminum alloy material; Based on the physical property parameters and the anodizing requirements of aluminum alloys, the formula is: ； ； Calculating the adjusted anodizing electrolysis voltage and the adjusted anodizing electrolysis current to obtain anodizing parameter optimization information; in, and are the basic voltage and current parameters, represents the target thickness of the anodized layer, represents the conductivity, represents the resistivity, is the adjusted anodic oxidation electrolysis voltage, is the adjusted anodic oxidation electrolysis current.

3. The environmentally friendly aluminum alloy anodizing process parameter control method according to claim 1, It is characterized in that The steps for obtaining the optimized electrolyte information are as follows: Obtaining a target temperature range during the electrolysis of the anodizing electrolyte according to the characteristics of the anodizing electrolyte, including the pH value and chemical composition of the anodizing electrolyte; Based on the target temperature range, by the formula: ； Calculate the adjusted electrolysis temperature , get the optimized electrolyte information; in, is the adjusted electrolysis temperature, is the current electrolyte temperature, is the average target temperature, is the temperature regulation coefficient, is the temperature sensitivity coefficient, is the base of natural logarithms.

4. The environmentally friendly aluminum alloy anodizing process parameter control method according to claim 1, It is characterized in that The method for calculating the energy efficiency ratio of the anodizing electrolysis equipment is: Collect energy consumption data during anodizing and processing efficiency data of aluminum alloy anodizing to obtain energy consumption and efficiency data; Based on the energy consumption and efficiency data, through the formula: ； Calculating the Energy Efficiency Ratio of Anodic Oxidation Electrolysis Equipment , according to the energy efficiency ratio of anodizing electrolysis equipment The value is used to evaluate the energy efficiency ratio of the anodizing electrolysis equipment and obtain the energy efficiency ratio evaluation information; in, Represents processing efficiency, Represents energy consumption, measured in kilowatt-hours, and is the adjustment parameter, is the energy efficiency ratio of anodizing electrolysis equipment.

5. The environmentally friendly aluminum alloy anodizing process parameter control method according to claim 4, It is characterized in that The steps for obtaining the energy efficiency evaluation information are as follows: Based on the energy efficiency ratio evaluation information, energy efficiency ratio data within a period of time is collected to obtain an energy efficiency ratio data set; Based on the energy efficiency ratio data set, the formula is: ； Calculate the rate of change of energy efficiency ratio , according to the rate of change of energy efficiency ratio The positive and negative and size of the energy efficiency change of the anodizing electrolysis equipment are evaluated to obtain energy efficiency evaluation information; in, and Represents the energy efficiency ratio of two consecutive time points, is the weight coefficient, is the time interval, is the total number of data points, is the index.

6. The environmentally friendly aluminum alloy anodizing process parameter control method according to claim 1, It is characterized in that The method for evaluating the impact of maintenance activities on the energy efficiency ratio of anodizing electrolysis equipment is: Collect historical maintenance data of anodizing electrolysis equipment, including maintenance date, maintenance type and change in energy efficiency ratio after maintenance; Based on the historical maintenance data, by the formula: ； Calculate the impact index of maintenance activities on energy efficiency ratio ; in, is the impact index of maintenance activities on energy efficiency ratio, and Respectively represent Energy efficiency ratio before and after maintenance, Is maintenance type The effect coefficient, is the frequency weight of the maintenance activity, is the number of maintenance times.

7. The environmentally friendly aluminum alloy anodizing process parameter control method according to claim 6, It is characterized in that The steps for obtaining the optimized energy efficiency maintenance information are as follows: Based on the impact index of the maintenance activities on the energy efficiency ratio , obtain the benchmark maintenance cycle of anodizing electrolysis equipment ; Based on the benchmark maintenance cycle of the anodizing electrolysis equipment , combined with the current energy efficiency ratio , target energy efficiency ratio and energy efficiency ratio change rate , through the formula: ； Calculate the adjusted maintenance interval , obtain optimized energy efficiency maintenance information; in, is the adjustment factor, is the benchmark maintenance cycle, is the current energy efficiency ratio, is the target energy efficiency ratio, is the impact of maintenance activities on the energy efficiency ratio, is the rate of change of energy efficiency ratio, is the adjusted maintenance cycle.

8. Aluminum alloy anodizing process parameter control system based on environmental protection, It is characterized in that According to the environmentally friendly aluminum alloy anodizing process parameter control method according to any one of claims 1 to 7, the system comprises: The parameter optimization module adjusts the anodizing electrolysis voltage and current based on the anodizing requirements of aluminum alloys and the physical properties of aluminum alloys, optimizes the energy consumption during the electrolysis process, and generates parameter optimization data; The electrolyte management module dynamically adjusts the electrolyte temperature based on the parameter optimization data and the pH value and chemical composition of the electrolyte, optimizes the anodizing rate and the consumption of the electrolytic material, and obtains an optimized electrolyte configuration; The energy efficiency monitoring module monitors the energy consumption data in the anodizing process and the processing efficiency data of the aluminum alloy anodizing based on the parameter optimization data and the optimized electrolyte configuration, calculates the energy efficiency ratio of the anodizing electrolysis equipment, and obtains energy efficiency ratio data information; The efficiency evaluation module obtains energy efficiency ratio data within a period of time based on the energy efficiency ratio data information, evaluates the energy efficiency ratio change rate, and obtains energy efficiency evaluation information; The maintenance strategy module analyzes the impact of maintenance activities on the energy efficiency ratio of the anodizing electrolysis equipment based on the energy efficiency evaluation information, adjusts the maintenance cycle of the anodizing electrolysis equipment, and generates optimized energy efficiency maintenance information.

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