A method and system for regulating the release of fragrance from an electric iron

Abstract

This invention relates to the field of data processing, and more particularly to a method and system for controlling the release of fragrance from an electric iron. The method includes: calculating the temperature change rate based on soleplate temperature data; constructing a fuzzy controller; calculating the fragrance thermal sensitivity coefficient and the fragrance thermal stability coefficient; inputting the temperature deviation and temperature change rate at a target time into the fuzzy controller, outputting the fragrance release reference value at the target time; taking the previous sampling time adjacent to the target time as the adjacent time; calculating the first product of the fragrance release reference value at the target time and the fragrance thermal stability coefficient; calculating the first difference between the reference value and the fragrance thermal stability coefficient; and calculating the second product of the final fragrance release amount at the adjacent time and the first difference; and using the sum of the first product and the second product as the final fragrance release amount at the target time, thus completing the fragrance release control. The technical solution of this invention can improve the accuracy and efficiency of fragrance release control results.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data processing. In particular, it relates to a method and system for regulating fragrance release of an electric iron. BACKGROUND

[0002] With the improvement of consumers' requirements for the quality of life, the electric iron has evolved from a simple clothes ironing tool to a multifunctional household device integrating ironing, fragrance, and care. However, fragrance components are prone to thermal decomposition in a high-temperature environment, resulting in loss of fragrance and affecting user experience. Accurate regulation of fragrance release not only relates to the persistence and uniformity of fragrance effects, but also involves the core problem of preventing fragrance from carbonizing and losing effectiveness at high temperatures, especially when ironing clothes of different materials, thicknesses, and humidity levels, the dynamic change of the soleplate temperature is significant.

[0003] Currently, the main methods for regulating fragrance release of electric irons on the market include fixed threshold control, traditional fuzzy logic control, and temperature-release mapping based on preset rules. The existing methods lack quantitative modeling of the thermodynamic properties of fragrance molecules, and cannot perform personalized regulation according to the thermal decomposition critical temperature and activation energy parameters of different types of fragrance (such as lavender essential oil and rose essence). When ironing thick fabrics causes a sudden temperature drop or ironing thin fabrics causes a rapid temperature rise, the traditional control strategy frequently jumps at the critical boundary, causing sudden changes in fragrance release, which not only leads to thermal decomposition of some fragrances at the critical temperature, but also fails to maintain the uniformity of fragrance concentration throughout the clothes, resulting in inaccurate fragrance release regulation. SUMMARY

[0004] To solve the above technical problems, the present application provides solutions in the following aspects.

[0005] In a first aspect, a method for regulating fragrance release amount of an electric iron, comprising: obtaining a bottom plate temperature of the electric iron after pre-treatment at a target time, and simultaneously obtaining a thermal decomposition critical temperature and a thermal decomposition activation energy of the fragrance at the target time, the target time being any sampling time; calculating a temperature change rate according to the bottom plate temperature data, and taking a difference between the thermal decomposition critical temperature and the bottom plate temperature as a temperature deviation; constructing a fuzzy controller by taking the temperature deviation and the temperature change rate in history as inputs, and taking a historical fragrance release reference value as an output; calculating a fragrance thermal sensitivity coefficient according to the Arrhenius equation based on the bottom plate temperature, the thermal decomposition critical temperature, and the thermal decomposition activation energy; calculating a fragrance thermal stability coefficient based on the fragrance thermal sensitivity coefficient, the temperature change rate, a rated heating power of the electric iron, and a bottom plate heat capacity; inputting the temperature deviation and the temperature change rate at the target time into the fuzzy controller to output a fragrance release reference value at the target time; taking a previous sampling time adjacent to the target time as an adjacent time; calculating a first product of the fragrance release reference value at the target time and the fragrance thermal stability coefficient, a first difference between 1 and the fragrance thermal stability coefficient, and a second product of a final fragrance release amount at the adjacent time and the first difference; taking a sum of the first product and the second product as the final fragrance release amount at the target time, and completing the regulation of the fragrance release amount.

[0006] Preferably, the calculation of the temperature change rate comprises: presetting a sampling interval, and calculating the temperature change rate at the target time by using a difference method.

[0007] Preferably, the fragrance thermal sensitivity coefficient comprises: obtaining an ideal gas constant, calculating a first ratio of 1000 times the thermal decomposition activation energy to the ideal gas constant; calculating a first sum of the bottom plate temperature at the target time and 273.15, and calculating a second ratio of 1 to the first sum; calculating a second sum of the thermal decomposition critical temperature at the target time and 273.15, and calculating a third ratio of 1 to the second sum; calculating a second difference between the second ratio and the third ratio, and taking a negative exponential value of a product of the first ratio and the second difference as the fragrance thermal sensitivity coefficient at the target time.

[0008] Preferably, the calculation of the fragrance thermal stability coefficient comprises: calculating a fourth ratio of the rated heating power of the electric iron to the bottom plate heat capacity, and calculating a fifth ratio of an absolute value of the temperature change rate at the target time to the fourth ratio; constructing a selection function to obtain a selection value, the selection value being a minimum value between 1 and the fifth ratio; calculating a third difference between 1 and the selection value; calculating a third sum of 1 and the fragrance thermal sensitivity coefficient, and calculating a sixth ratio of 1 to the third sum; and taking a product of the sixth ratio and the third difference as the fragrance thermal stability coefficient at the target time.

[0009] Preferably, the bottom plate heat capacity comprises: obtaining a specific heat capacity of a bottom plate material; and taking a product of a mass of the electric iron bottom plate and the specific heat capacity of the bottom plate material as the bottom plate heat capacity.

[0010] Preferably, the final fragrance release amount is converted into a control signal, in response to the final fragrance release amount being 0%, the solenoid valve is completely closed, and the fragrance release is stopped; in response to the final fragrance release amount being 100%, the solenoid valve is fully opened, and the fragrance is released at the maximum flow rate; and in response to the final fragrance release amount being between 0% and 100%, the valve opening is adjusted in a linear proportion.

[0011] Preferably, the preprocessing includes: performing a sliding average filtering on the soleplate temperature in the sampling period using a preset window.

[0012] In a second aspect, an electric iron fragrance release amount regulation system includes: a processor and a memory, the memory stores computer program instructions, when the computer program instructions are executed by the processor, a method for regulating the fragrance release amount of an electric iron is implemented.

[0013] The present application has the following effects:

[0014] The present application acquires the soleplate temperature, the thermal decomposition critical temperature and the activation energy of the fragrance in real time, calculates the thermal sensitivity coefficient of the fragrance according to the Arrhenius equation, and thus judges the decomposition activity degree of the fragrance molecules. On this basis, the fragrance release amount is dynamically controlled in combination with the adjustment of the temperature change rate and the thermal stability coefficient of the fragrance, so as to ensure that the fragrance is always within the safe temperature range, and the self-adaptive adjustment is performed according to different ironing scenes (such as ironing of different material clothes), so as to avoid the over-scent or no-scent situation, and ensure the uniformity and persistence of the fragrance concentration. In addition, the fuzzy controller realizes the accurate fragrance release amount regulation in combination with the historical data and the current temperature change. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 is a flowchart of an electric iron fragrance release amount regulation method according to an embodiment of the present application.

[0016] Figure 2 is a fuzzy rule of an electric iron fragrance release amount regulation method according to an embodiment of the present application. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application.

[0018] The specific implementation of the present application will be described in detail below with reference to the drawings.

[0019] Referring to Figure 1 An electric iron fragrance release amount regulation method includes steps S1-S4, and specifically as follows:

[0020] S1: Obtain the bottom plate temperature of the electric iron after pretreatment at the target time, and simultaneously obtain the thermal decomposition critical temperature and thermal decomposition activation energy of the fragrance at the target time. The target time is any sampling time. According to the bottom plate temperature data, the temperature change rate is calculated, and the difference between the thermal decomposition critical temperature and the bottom plate temperature is taken as the temperature deviation.

[0021] In one embodiment, high-precision temperature sensors are installed in the key heat-sensitive areas of the electric iron bottom plate, such as near the fragrance nozzle and the heat source concentration point, to collect bottom plate surface temperature data in real time at a high sampling rate of 50 Hz; these data are continuously fed back to the central control system through a low-latency transmission link, and compared with the thermal decomposition critical temperature safety boundary preset by the fragrance recognition module at the millisecond level, so as to dynamically adjust the power output of the heating element and ensure that the bottom plate temperature is always accurately maintained within the stable interval of the fragrance components during ironing.

[0022] The built-in fragrance recognition module of the system automatically reads the fragrance type identifier through the RFID tag, and real-time retrieves the thermal decomposition critical temperature and thermal decomposition activation energy corresponding to the fragrance from the preset fragrance database; these key parameters not only scientifically quantify the anti-decomposition ability of the fragrance in the thermal environment, but also directly set a dynamic safety temperature boundary for the fragrance release system of the electric iron, based on which the system intelligently adjusts the ironing temperature to ensure that the temperature is always below the critical point during the release of the fragrance, thereby avoiding the decomposition of components to produce harmful substances or odors, ensuring user health and use experience, and prolonging the service life of the equipment. For example, the thermal decomposition critical temperature of lavender essential oil is 165 degrees Celsius, and the thermal decomposition activation energy is 85 kilojoules per mole; the thermal decomposition critical temperature of rose fragrance is 158 degrees Celsius, and the thermal decomposition activation energy is 75 kilojoules per mole.

[0023] To ensure the accuracy and reliability of the fragrance thermal decomposition analysis, the system performs real-time preprocessing on the raw data collected by the high-precision bottom plate temperature sensor at a sampling frequency of 50 Hz; for the temperature reading fluctuations caused by electromagnetic interference (such as high-frequency noise generated by motor start-stop and circuit switching) and mechanical vibration (such as random jitter caused by the friction between the bottom plate and the fabric during ironing) commonly existing in the electric iron working environment, a sliding average filtering algorithm with a window size of 5 is used to dynamically smooth the data sequence. This method calculates the moving average of the last 5 sampling points, effectively suppresses high-frequency random noise, and at the same time preserves the trend characteristics of temperature change, so as to output stable and low-noise bottom plate temperature values at any sampling time.

[0024] According to the bottom plate temperature data, a temperature change rate is calculated: a preset sampling interval is used to calculate the temperature change rate at the target time by using a difference method. The calculation of the temperature change rate is a technology known to those skilled in the art, and will not be described here. The temperature change rate reflects the dynamic thermodynamic response characteristics of the electric iron bottom plate when contacting different material clothes, and is a key input parameter for calculating the fragrance thermal stability coefficient. The temperature change rate is limited to ±10℃ / s in the present application. The limiting value and the theoretical maximum temperature change ability of the electric iron bottom plate Match (where is the rated heating power, is the bottom plate mass, is the material specific heat capacity), to ensure that the control parameters are within the physically achievable range; secondly, excessive temperature change rate will cause the fragrance molecules to experience a sharp change in the thermal environment within milliseconds, far beyond their molecular structure adaptability, and easily cause irreversible thermal decomposition. The limiting value of 10℃ / s is determined based on the thermodynamic parameters of a typical household iron and the thermal decomposition characteristics of common fragrance components through experiments. In actual application, it can be adjusted by those skilled in the art according to the specific product parameters.

[0025] S2: A fuzzy controller is constructed with the temperature deviation in history and the temperature change rate in history as inputs, and the fragrance release reference value in history as output.

[0026] In one embodiment, the construction of the fuzzy controller is a technology known to those skilled in the art. In the present application, the fuzzy rules are constructed as shown in Figure 2 , which are fuzzy rules.

[0027] The construction of the fuzzy rules specifically includes:

[0028] The fuzzy language variable of the temperature deviation is negative large, negative small, zero, positive small, and positive large. Among them, negative large is used to describe the high-temperature danger area, with a range of temperature deviation less than -20 degrees Celsius, using a trapezoidal membership function; negative small is used to describe the slightly high-temperature area, with a range of temperature deviation not less than -20 degrees Celsius and less than -5 degrees Celsius, using a triangular membership function; zero is used to describe the critical temperature area, with a range of temperature deviation not less than -5 degrees Celsius and not greater than 5 degrees Celsius, using a triangular membership function; positive small is used to describe the safe temperature area, with a range of temperature deviation greater than 5 degrees Celsius and not greater than 20 degrees Celsius, using a triangular membership function; and positive large is used to describe the very safe area, with a range of temperature deviation greater than 20 degrees Celsius, using a trapezoidal membership function.

[0029] The fuzzy language variable of the temperature change rate is fast temperature drop, slow temperature drop, stable, slow temperature rise and fast temperature rise. Among them, fast temperature drop is used to describe that the temperature drops rapidly, the range is that the temperature change rate is less than-8 degrees Celsius per second, and a trapezoidal membership function is used; slow temperature drop is used to describe that the temperature drops slowly, the range is that the temperature change rate is not less than-8 degrees Celsius per second and less than-2 degrees Celsius per second, and a triangular membership function is used; stable is used to describe that the temperature is stable, the range is not less than-2 degrees Celsius per second and not more than 2 degrees Celsius per second, and a triangular membership function is used; slow temperature rise is used to describe that the temperature rises slowly, the range is more than 2 degrees Celsius per second and not more than 8 degrees Celsius per second, and a triangular membership function is used; and fast temperature rise is used to describe that the temperature rises rapidly, the range is more than 8 degrees Celsius per second, and a trapezoidal membership function is used.

[0030] The fuzzy language variable of the fragrance release reference value is off, trace, medium, large and maximum. Off is used to describe stopping release, and a trapezoidal membership function is used; trace is used to describe extremely small flow release, and a triangular membership function is used; medium is used to describe medium flow release, and a triangular membership function is used; large is used to describe large flow release, and a triangular membership function is used; and maximum is used to describe maximum flow release, and a trapezoidal membership function is used.

[0031] S3: Calculate the fragrance thermal sensitivity coefficient based on the bottom plate temperature, the thermal decomposition critical temperature and the thermal decomposition activation energy according to the Arrhenius equation, and calculate the fragrance thermal stability coefficient based on the fragrance thermal sensitivity coefficient, the temperature change rate, the obtained rated heating power of the electric iron and the obtained bottom plate heat capacity.

[0032] In one embodiment, the ideal gas constant is obtained, the first ratio of 1000 times the thermal decomposition activation energy to the ideal gas constant is calculated, the first sum of the bottom plate temperature at the target moment and 273.15 is calculated, and the second ratio of 1 to the first sum is calculated; the second sum of the thermal decomposition critical temperature at the target moment and 273.15 is calculated, and the third ratio of 1 to the second sum is calculated; the second difference of the second ratio and the third ratio is calculated, and the negative exponential value of the product of the first ratio and the second difference is taken as the fragrance thermal sensitivity coefficient at the target moment.

[0033] The fragrance thermal sensitivity coefficient satisfies the relationship:

[0034] , denotes the fragrance thermal sensitivity coefficient at the target moment , denotes the thermal decomposition activation energy, denotes the ideal gas constant, denotes the bottom plate temperature at the target moment , denotes the thermal decomposition critical temperature, denotes the exponential function. Here, the ideal gas constant is taken as 8.314 .

[0035] It needs to be explained that the unit of thermal decomposition activation energy is kilojoule per mole, and multiplying 1000 is used to convert the unit to joule per mole. The units of the base plate temperature and the thermal decomposition critical temperature are both in degrees Celsius, and after adding 273.15, the unit is converted to Kelvin.

[0036] The construction logic of the fragrance thermal sensitivity coefficient: the existing Arrhenius equation focuses on the absolute decomposition rate of fragrance molecules (i.e. the amount of decomposition per unit time), in the context of electric iron fragrance release control, it is necessary to evaluate the relative activity of fragrance molecule decomposition at the current ironing temperature, that is, the change ratio of decomposition tendency relative to the reference temperature (such as room temperature), in order to quickly judge the balance between fragrance release efficiency and thermal decomposition risk. Therefore, the core index term of the Arrhenius equation is simplified to a dimensionless fragrance thermal sensitivity coefficient.

[0037] The essence of the fragrance thermal sensitivity coefficient is to characterize the ratio of the decomposition activity of the fragrance molecule at the base plate temperature to the decomposition activity at the thermal decomposition critical temperature. When the base plate temperature is much less than the thermal decomposition critical temperature, the fragrance thermal sensitivity coefficient is close to 0, indicating that the decomposition activity is much lower than the critical value, maximizing the fragrance release efficiency; when the base plate temperature is much greater than the thermal decomposition critical temperature, the fragrance thermal sensitivity coefficient is much greater than 0, indicating that the decomposition activity exceeds the critical value, at this time the fragrance molecule is in a highly unstable state, the fragrance release amount should be greatly reduced, or even the release valve should be temporarily closed, to protect the fragrance ingredients first.

[0038] It needs to be explained that in the running process of electric iron fragrance release, the base plate temperature presents significant dynamic fluctuation characteristics due to contact with different materials, thickness and humidity of clothes. Thick and heavy fabric will cause the base plate temperature to drop sharply in a short time, and thin fabric will cause the temperature to rise rapidly. This dynamic temperature change makes the traditional fixed fuzzy boundary ineffective near the critical point: when the temperature fluctuates near the thermal decomposition critical temperature, the output of the fuzzy controller will frequently jump between adjacent rules, causing the fragrance release amount to produce a large mutation, which not only causes partial thermal decomposition of the fragrance ingredients at the critical temperature, but also cannot maintain the uniformity of the fragrance concentration of the clothes. The present application combines the fragrance thermal sensitivity coefficient with the real-time temperature change rate to construct the fragrance thermal stability coefficient, so that the fragrance release amount control can more accurately match the thermodynamic behavior of the fragrance molecules, ensuring the control response speed while reducing the probability of control instability caused by boundary jumping.

[0039] The specific heat capacity of the base plate material is obtained, which is a known technology to those skilled in the art. For example, the specific heat capacity of a common aluminum alloy base plate is about 900 , and the specific heat capacity of a stainless steel base plate is about 500 , the specific heat capacity of cast iron soleplate is about 460 . The product of the mass of the electric iron soleplate and the specific heat capacity of the soleplate material is taken as the soleplate heat capacity. A fourth ratio of the rated heating power of the electric iron to the specific heat capacity of the soleplate material is calculated, and a fifth ratio of the absolute value of the temperature change rate at the target moment to the fourth ratio is calculated; a selection function is constructed to obtain a selection value, which is the minimum value between 1 and the fifth ratio; a third difference value of 1 and the selection value is calculated; a third sum of 1 and the fragrance heat sensitivity coefficient is calculated, and a sixth ratio of 1 to the third sum is calculated; the product of the sixth ratio and the third difference value is taken as the fragrance heat stability coefficient at the target moment.

[0040] The fragrance heat stability coefficient satisfies the relationship:

[0041] , The fragrance heat stability coefficient at the target moment , The fragrance heat sensitivity coefficient at the target moment , The temperature change rate at the target moment , The rated heating power of the electric iron The soleplate heat capacity The minimum value in the parentheses.

[0042] The construction logic of the fragrance heat stability coefficient: characterizes the chemical stability probability of fragrance molecules at the target moment. When the fragrance heat sensitivity coefficient approaches 0, approaches 1, indicating that the fragrance molecules are in a high stability state, and the probability of fragrance decomposition is small; when the fragrance heat sensitivity coefficient is much greater than 0, closer to 0, indicating that the fragrance molecules are extremely unstable, and the decomposition probability is extremely large.

[0043] characterizes the system thermal equilibrium stability margin, where represents the maximum temperature change capacity of the system.

[0044] The ratio of the temperature change rate at the target moment to the maximum temperature change capacity of the system. When the temperature change is smooth, i.e. is much smaller than , approaches 1, indicating good thermal equilibrium; when the temperature changes dramatically, i.e. approaches , approaches 0, indicating that the thermal equilibrium is significantly disturbed, and the dynamic adjustment capability is close to the limit. When the temperature change rate exceeds the maximum adjustment capability of the system, i.e. is much larger than , Constant is 0, indicating that the system has completely lost the ability to regulate the heat balance, in a state of thermodynamic instability.

[0045] The fragrance thermal stability coefficient represents the overall thermodynamic stability level of the fragrance system of the electric iron. When the fragrance thermal stability coefficient is close to 1, two conditions need to be met simultaneously: Close to 1, that is, the fragrance thermal stability coefficient tends to 0, and the fragrance molecules are in a highly stable state, with low probability of thermal decomposition; at the same time Tends to 1, that is Far less than , the temperature change is smooth, and the heat balance state is good. At this time, the fragrance components are almost not subject to thermal decomposition, and a weak smoothing control strategy can be used to prioritize the response speed and efficiency of fragrance release.

[0046] When the fragrance thermal stability coefficient is close to 0, there are three cases, case 1: Close to 0, indicating that the bottom plate temperature is much higher than the critical temperature of thermal decomposition, and the fragrance molecules are in a high-energy active state, and the chemical bonds are easily broken; case 2: Close to 0, indicating that the temperature change rate is close to the limit of the system's heat regulation capacity; case 3: Equal to 0, indicating that the temperature change rate exceeds or reaches the maximum heat regulation capacity of the system, and the system completely loses the ability to maintain heat balance, and is on the edge of thermodynamic out-of-control. No matter which case, it indicates that the thermal stability is seriously insufficient, and the fragrance components are easily subject to irreversible thermal decomposition in temperature fluctuations. At this time, a strong smoothing control strategy must be started to significantly reduce the change rate of fragrance release, prioritize the chemical integrity of fragrance components, and ensure uniform fragrance distribution of the entire garment.

[0047] S4: input the temperature deviation and temperature change rate of the target time into the fuzzy controller, output the fragrance release reference value of the target time, take the sampling time adjacent to the target time as the adjacent time, calculate the first product of the fragrance release reference value of the target time and the fragrance thermal stability coefficient, calculate the first difference value of 1 and the fragrance thermal stability coefficient, and calculate the second product of the final fragrance release amount of the adjacent time and the first difference value. The sum of the first product and the second product is the final fragrance release amount of the target time, and the fragrance release amount regulation is completed.

[0048] It needs to be explained that the ultimate goal of the electric iron fragrance release is to provide uniform and stable fragrance concentration for different materials of clothes (such as cotton, silk or synthetic fibers) under the premise of strictly preventing thermal decomposition; however, the traditional fuzzy control method only relies on preset rules to directly output fragrance release amount instructions, which cannot capture the nonlinear thermal behavior of fragrance molecules near the critical temperature, resulting in over-scent (causing irritating odor or residue) or no-scent (uneven fragrance coverage) in local areas of clothes. The present application decomposes the fragrance release amount control into the weighted fusion of current temperature-driven decision (response to the immediate thermal environment) and historical release state (cumulative experience data). When the thermal stability coefficient of the fragrance is large, the thermal stability is sufficient, for example, when ironing cotton clothes at low temperature, the temperature change is preferentially tracked, and the release efficiency is dynamically optimized to quickly reach the target concentration. When the thermal stability coefficient of the fragrance is small, the thermal stability is insufficient, for example, when ironing silk at high temperature, the weight of the current decision is greatly reduced, the historical stable state is preferentially maintained, and the release amount is actively inhibited to protect the fragrance molecules from thermal decomposition. By adaptively balancing release accuracy and ingredient safety, not only does the traditional method eliminate the "over-scent-no-scent" oscillation problem, but also ensures the persistent uniformity of fragrance concentration in various materials and ironing scenarios.

[0049] In one embodiment, the final fragrance release amount is converted into a control signal, in response to the final fragrance release amount being 0%, the electromagnetic valve is fully closed, and the fragrance release is stopped; in response to the final fragrance release amount being 100%, the electromagnetic valve is fully open, and the fragrance is released at the maximum flow rate; in response to the final fragrance release amount being between 0% and 100%, the valve opening degree is adjusted in a linear proportion.

[0050] The system comprises a processor and a memory, and the memory stores computer program instructions which, when executed by the processor, implement the electric iron fragrance release amount control method according to the first aspect of the present application.

[0051] The system also includes other components such as communication bus and communication interface, which are well known to those skilled in the art, and their settings and functions are known in the art, so they will not be described here.

[0052] It should be noted that for those skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of the present application. Therefore, the protection scope of the present application patent should be subject to the appended claims.

Claims

1. A method for controlling the amount of fragrance released from an electric iron, characterized in that, include: The temperature of the soleplate after pretreatment with an electric iron is obtained at the target time. At the same time, the thermal decomposition critical temperature and thermal decomposition activation energy of the fragrance are also obtained at the target time. The target time can be any sampling time. The temperature change rate is calculated based on the soleplate temperature data. The difference between the thermal decomposition critical temperature and the soleplate temperature is taken as the temperature deviation. A fuzzy controller is constructed by using historical temperature deviations and historical temperature change rates as inputs and historical fragrance release benchmark values ​​as outputs. The fragrance thermal sensitivity coefficient is calculated based on the Arrhenius equation using the soleplate temperature, critical thermal decomposition temperature, and thermal decomposition activation energy. The fragrance thermal stability coefficient is calculated based on the fragrance thermal sensitivity coefficient, temperature change rate, the obtained rated heating power of the electric iron, and the obtained soleplate heat capacity. The temperature deviation and temperature change rate at the target time are input into the fuzzy controller, which outputs the fragrance release reference value at the target time. The previous sampling time adjacent to the target time is taken as the adjacent time. The first product of the fragrance release reference value at the target time and the fragrance thermal stability coefficient is calculated. The first difference between 1 and the fragrance thermal stability coefficient is calculated. The second product of the final fragrance release amount at the adjacent time and the first difference is calculated. The sum of the first product and the second product is taken as the final fragrance release amount at the target time, thus completing the fragrance release amount regulation. The fragrance thermal sensitivity coefficient includes: Obtain the ideal gas constant and calculate the first ratio of 1000 times the activation energy of thermal decomposition to the ideal gas constant; Calculate the first sum of the bottom plate temperature at the target time and 273.15, and calculate the second ratio of 1 to the first sum; Calculate the critical thermal decomposition temperature at the target time and the second sum of 273.15, and calculate the third ratio of 1 to the second sum; Calculate the second difference between the second ratio and the third ratio, and use the negative exponent of the product of the first ratio and the second difference as the fragrance thermosensitivity coefficient at the target time; The calculation of the fragrance thermal stability coefficient includes: Calculate the fourth ratio of the rated heating power of the electric iron to the heat capacity of the soleplate, and calculate the fifth ratio of the absolute value of the rate of temperature change at the target time to the fourth ratio; Construct a selection function to obtain the selection value, which is the minimum value between 1 and the fifth ratio; Calculate the third difference between 1 and the selected value; Calculate the third sum of 1 and the fragrance heat sensitivity coefficient, and calculate the sixth ratio of 1 to the third sum; The product of the sixth ratio and the third difference is used as the fragrance thermal stability coefficient at the target time.

2. The method for controlling the release of fragrance from an electric iron according to claim 1, characterized in that, The calculation of the temperature change rate includes: The sampling interval is preset, and the temperature change rate at the target time is calculated using the finite difference method.

3. The method for controlling the release of fragrance from an electric iron according to claim 1, characterized in that, The heat capacity of the base plate includes: Obtain the specific heat capacity of the base plate material; The heat capacity of the iron soleplate is the product of its mass and the specific heat capacity of the soleplate material.

4. The method for controlling the release of fragrance from an electric iron according to claim 1, characterized in that, The controlled fragrance release includes: The final fragrance release amount is converted into a control signal. When the final fragrance release amount is 0%, the solenoid valve is completely closed, and the fragrance release stops. When the final fragrance release amount is 100%, the solenoid valve is fully open, and the fragrance is released at the maximum flow rate. When the final fragrance release amount is between 0% and 100%, the valve opening is adjusted linearly.

5. The method for controlling the release of fragrance from an electric iron according to claim 1, characterized in that, The preprocessing includes: The temperature of the substrate during the sampling period is filtered by a moving average using a preset window.

6. A fragrance release control system for an electric iron, characterized in that, include: A processor and a memory, the memory storing computer program instructions that, when executed by the processor, implement a method for controlling the release of fragrance from an electric iron according to any one of claims 1-5.

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