A grinding control system and method for a coffee grinder
By analyzing the grinding records of the coffee grinder, calculating the deviation value and change rate, adjusting the target image to reduce noise, solving the noise increase problem caused by aging, and improving the grinding accuracy and the accuracy of the motor angular velocity.
Patent Information
- Application Number
- CN202411793764.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-04-29
- Estimated Expiration
- 2044-12-09
AI Technical Summary
As the use time increases, the coffee grinder will age, causing noise to increase, which will lead to errors when adjusting the angular speed of the motor and generate higher noise levels.
By obtaining the grinding record of the coffee grinder, the thickness deviation value and the change rate are calculated, the target image is generated, and the deviation value is adjusted according to the deviation value until the deviation value meets the threshold value, and the angular velocity of the motor is adjusted.
It effectively avoids the problem of noise increase due to aging, improves the accuracy of grinding, and makes the angular speed of the motor more in line with the actual situation.
Smart Images

Figure CN119293377B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of motor angular velocity control, and in particular to a grinding control system and method for a coffee grinder. Background Art
[0002] Coffee (called coffee in English) is a beverage made from roasted and ground coffee beans. Coffee beans refer to the kernels inside the fruit of the coffee tree, which are then roasted using appropriate methods. A coffee grinder (also called a coffee bean grinder) is a tool used to grind coffee beans into powder. Its main purpose is to turn coffee beans into fine powder suitable for brewing. Different grinding finenesses will affect the extraction speed and flavor of the coffee.
[0003] A Chinese patent with patent announcement number CN118567402B discloses an intelligent control system for a coffee machine based on the Internet of Things. The scheme mainly includes determining the coarseness of the current time and adjusting the angular velocity of the motor according to the coarseness of the current time. In the process of determining the coarseness of the current time, it is obtained based on the noise difference, and the noise difference is the integral difference between the real-time noise change curve and the calibrated noise change curve. However, as the use time increases, the coffee grinder will age and increase the noise of the coffee grinder, that is, the real-time noise change curve is high, and the coarseness of the current time obtained will be greater than the actual coarseness of the current time. In this case, in the subsequent process of adjusting the motor angular velocity, the adjusted angular velocity will be greater than the actual required angular velocity, thereby generating a higher noise level. Summary of the invention
[0004] The object of the present invention is to provide a grinding control system and method for a coffee grinder to solve the above technical problems.
[0005] The purpose of the present invention can be achieved through the following technical solutions:
[0006] A grinding control method for a coffee grinder comprises the following steps:
[0007] S1: obtaining the grinding record of the coffee grinder within a preset monitoring period T, and determining the grinding data, wherein the grinding data includes the actual coarseness of the coffee powder at the end of a single grinding, the standard coarseness during a single grinding, and the time point when the single grinding ends;
[0008] The standard coarseness is sorted in order of size, the larger the standard coarseness is, the higher the ranking is, and when the difference between two adjacent standard coarsenesses in the sorting is less than a preset difference threshold, the corresponding grinding data are regarded as the same group of grinding data;
[0009] S2: Calculate the thickness deviation value Pa,b =B a,b -A a,b , B a,b Indicates the bth standard coarseness in the ath group of grinding data, A a,b Indicates the actual coarseness of the bth grinding data in the ath group, and determines the corresponding grinding end time t a,b , generate coordinate points (t a,b , P a,b ), the target image is obtained by connecting two adjacent coordinate points by a straight line;
[0010] Calculate the rate of change k a,b =(P a,b -P a,b-1 ) / (t a,b -t a,b-1 ), when the change rate is less than or equal to the preset change rate threshold, it is regarded as the normal change rate, and the proportion of the normal change rate to the total change rate is counted c;
[0011] S3: Calculate the deviation value Y, set the deviation value threshold Yys, and when the deviation value Y≥Yys, adjust the target image until the deviation value Y after a certain adjustment of the target image is less than Yys;
[0012] Determine the functional relationship g(t) of the target image at this time and calculate the average deviation , time interval [T sta , T] represents the domain of the functional relationship g(t), and the standard coarseness during grinding is , and adjust the angular velocity of the motor, Indicates the preset standard thickness.
[0013] As a further solution of the present invention: in the step S3, the process of adjusting the target image specifically includes:
[0014] The deviation value Y is calculated by the following formula:
[0015] ;
[0016] Wherein, η is a preset correction coefficient, f(t) represents the functional relationship of the target image, c represents the ratio of the normal change rate to the total change rate, f(0) represents the coarseness deviation value corresponding to the starting point of the target image, and f(T) represents the coarseness deviation value corresponding to the end point of the target image;
[0017] When the deviation value Y≥Yys, remove the coordinate point (t a,1 , P a,1) and determine the new target image, and repeat the above steps until the deviation value Y<Yys appears for the first time after removing a certain coordinate point.
[0018] As a further solution of the present invention: when the deviation value Y is less than Yys and the number of coordinate points that have not been removed is less than a preset number, an early warning message is sent to remind that the coffee grinder has an abnormality;
[0019] When the normal ratio is 0, an early warning message is sent to remind that the coffee grinder has an abnormality.
[0020] As a further solution of the present invention: the step S1 further includes the following steps:
[0021] Generate the second coordinate point (t e , H e ), H e =B e -A e , B e Indicates the actual coarseness of the coffee powder at the end of the e-th grinding in the grinding record, A e Indicates the standard coarseness of the e-th grinding in the grinding record, and fits the second coordinate point to obtain a fitting curve F(t), t∈[0, T];
[0022] The intersection of the fitting curve and the x-axis is recorded as a reference point, and the starting point and the end point of the fitting curve are recorded as reference points. When the fitting curve between two adjacent reference points is above the x-axis, it is marked as an abnormal curve, and the proportion r of the definition domain of the abnormal curve in the monitoring period is counted;
[0023] Calculate the judgment value , wherein ε represents a preset second correction coefficient. When the judgment value is less than or equal to the preset judgment value threshold, the subsequent step of adjusting the standard coarseness is not performed.
[0024] As a further solution of the present invention: when the fitting curve between two adjacent reference points is below the x-axis, it is marked as a second abnormal curve, and the proportion R of the definition domain of the second abnormal curve in the monitoring period is counted. When the proportion R is ≥ 0.4, an early warning message is sent to remind that the coffee grinder has an abnormality.
[0025] As a further solution of the present invention: in the step S1, when the coffee grinder is put into use for less than When , the subsequent steps are not executed, n represents a preset constant, and n>5.
[0026] As a further solution of the present invention: in the step S1, the grinding data in the same group are sorted according to the time axis order.
[0027] A grinding control system for a coffee grinder, comprising:
[0028] Initial module: obtaining the grinding record of the coffee grinder within a preset monitoring period T, and determining the grinding data, wherein the grinding data includes the actual coarseness of the coffee powder at the end of a single grinding, the standard coarseness during a single grinding, and the time point when the single grinding ends;
[0029] The standard coarseness is sorted in order of size, the larger the standard coarseness is, the higher the ranking is, and when the difference between two adjacent standard coarsenesses in the sorting is less than a preset difference threshold, the corresponding grinding data are regarded as the same group of grinding data;
[0030] Optimization module: Calculate the coarseness deviation value P a,b =B a,b -A a,b , B a,b Indicates the bth standard coarseness in the ath group of grinding data, A a,b Indicates the actual coarseness of the bth grinding data in the ath group, and determines the corresponding grinding end time t a,b , generate coordinate points (t a,b , P a,b ), the target image is obtained by connecting two adjacent coordinate points by a straight line;
[0031] Calculate the rate of change k a,b =(P a,b -P a,b-1 ) / (t a,b -t a,b-1 ), when the change rate is less than or equal to the preset change rate threshold, it is regarded as the normal change rate, and the proportion of the normal change rate to the total change rate is counted c;
[0032] Control module: calculate the deviation value Y, set the deviation value threshold Yys, and when the deviation value Y≥Yys, adjust the target image until the deviation value Y after a certain adjustment of the target image is less than Yys;
[0033] Determine the functional relationship g(t) of the target image at this time and calculate the average deviation , time interval [T sta , T] represents the domain of the functional relationship g(t), and the standard coarseness during grinding is , and adjust the angular velocity of the motor, Indicates the preset standard thickness.
[0034] Beneficial effects of the present invention: In the present invention, the grinding record of the coffee grinder is firstly extracted, and the grinding data is obtained therefrom, which is the data basis for subsequent analysis and processing; then, the grinding data is grouped according to the standard coarseness; it is worth noting that the corresponding correction amounts may be different for different standard coarsenesses, and the larger the standard coarseness, the more correction amounts may be required, so it is necessary to distinguish according to the standard coarseness, and at the same time, within the same group, the grinding data is sorted according to the time axis sequence; then, the coarseness deviation value is calculated, the coordinate points are generated, and the target image is obtained by connecting two adjacent coordinate points by a straight line; it can be understood that the target image reflects the change in the deviation between the actual coarseness and the standard coarseness in the grinding data of the same group, and the larger the vertical coordinate corresponding to the point on the target image, the greater the deviation, wherein the corresponding grinding end time point t a,b Refers to the time point when the grinding ends corresponding to the bth actual coarseness in the ath group of grinding data; after that, calculate the change rate, and count the proportion of the normal change rate to the total change rate; it is worth noting that the change rate reflects the speed of change of the deviation between the actual coarseness and the standard coarseness, the smaller the change rate, the slower the change speed, and the larger the proportion of the normal change rate to the total change rate, the more normal change rates, that is, the deviation between the actual coarseness and the standard coarseness is more stable with the change of time, and it is more unnecessary to adjust the target image, therefore, when calculating the deviation value later, the proportion of the normal change rate to the total change rate is inversely proportional to the deviation value, and the remaining parameters for calculating the deviation value can refer to the above ideas, which will not be repeated here; finally, adjust the target image until the deviation value corresponding to the target image after a certain adjustment meets the condition, calculate the average deviation according to the functional relationship of the target image at this time, and use it to correct the standard coarseness during grinding, and then adjust the angular velocity of the motor to make it more in line with the actual situation. The present invention can correct the standard coarseness and adjust the angular velocity of the motor, avoid the occurrence of greater noise and improve the grinding accuracy. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] The present invention will be further described below in conjunction with the accompanying drawings.
[0036] Figure 1 It is a flow chart of a grinding control method of a coffee grinder of the present invention. DETAILED DESCRIPTION
[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0038] See also Figure 1 As shown, the present invention is a grinding control method of a coffee grinder, comprising the following steps:
[0039] S1: obtaining the grinding record of the coffee grinder within a preset monitoring period T, and determining the grinding data, wherein the grinding data includes the actual coarseness of the coffee powder at the end of a single grinding, the standard coarseness during a single grinding, and the time point when the single grinding ends;
[0040] The standard coarseness is sorted in order of size, the larger the standard coarseness is, the higher the ranking is, and when the difference between two adjacent standard coarsenesses in the sorting is less than a preset difference threshold, the corresponding grinding data are regarded as the same group of grinding data;
[0041] S2: Calculate the thickness deviation value P a,b =B a,b -A a,b , B a,b Indicates the bth standard coarseness in the ath group of grinding data, A a,b Indicates the actual coarseness of the bth grinding data in the ath group, and determines the corresponding grinding end time t a,b , generate coordinate points (t a,b , P a,b ), the target image is obtained by connecting two adjacent coordinate points by a straight line;
[0042] Calculate the rate of change k a,b =(P a,b -P a,b-1 ) / (t a,b -t a,b-1 ), when the change rate is less than or equal to the preset change rate threshold, it is regarded as the normal change rate, and the proportion of the normal change rate to the total change rate is counted c;
[0043] S3: Calculate the deviation value Y, set the deviation value threshold Yys, and when the deviation value Y≥Yys, adjust the target image until the deviation value Y after a certain adjustment of the target image is less than Yys;
[0044] Determine the functional relationship g(t) of the target image at this time and calculate the average deviation , time interval [T sta , T] represents the domain of the functional relationship g(t), and the standard coarseness during grinding is , and adjust the angular velocity of the motor, Indicates the preset standard thickness.
[0045] It should be noted that first, the grinding record of the coffee grinder is extracted and the grinding data is obtained from it, which is the data basis for subsequent analysis and processing; then, the grinding data is grouped according to the standard coarseness; it is worth noting that different standard coarsenesses may correspond to different correction amounts. A larger standard coarseness may require more correction amounts, so it is necessary to distinguish according to the standard coarseness. At the same time, within the same group, the grinding data is sorted according to the time axis order; then the coarseness deviation value is calculated, the coordinate points are generated, and the target image is obtained by connecting two adjacent coordinate points with a straight line; it can be understood that the target image reflects the change in the deviation between the actual coarseness and the standard coarseness in the grinding data of the same group. The larger the vertical coordinate corresponding to the point on the target image, the greater the deviation, where the corresponding grinding end time point t a,b It refers to the time point when the grinding ends corresponding to the bth actual coarseness in the ath group of grinding data; thereafter, the change rate is calculated, and the proportion of the normal change rate to the total change rate is counted; it is worth noting that the change rate reflects the speed of change of the deviation between the actual coarseness and the standard coarseness. The smaller the change rate, the slower the change speed, and the larger the proportion of the normal change rate to the total change rate, the more normal change rates there are, that is, the deviation between the actual coarseness and the standard coarseness is more stable with the change of time, and there is no need to adjust the target image. Therefore, when calculating the deviation value subsequently, the proportion of the normal change rate to the total change rate is inversely proportional to the deviation value. The remaining parameters for calculating the deviation value can refer to the above ideas and will not be repeated here; finally, adjust the target image until the deviation value corresponding to the target image after a certain adjustment meets the conditions, calculate the average deviation according to the functional relationship of the target image at this time, and use it to correct the standard coarseness during grinding, and then adjust the angular velocity of the motor to make it more in line with the actual situation.
[0046] In another preferred embodiment of the present invention, in step S3, the process of adjusting the target image specifically includes:
[0047] The deviation value Y is calculated by the following formula:
[0048] ;
[0049] Wherein, η is a preset correction coefficient, f(t) represents the functional relationship of the target image, c represents the ratio of the normal change rate to the total change rate, f(0) represents the coarseness deviation value corresponding to the starting point of the target image, and f(T) represents the coarseness deviation value corresponding to the end point of the target image;
[0050] When the deviation value Y≥Yys, remove the coordinate point (t a,1 , P a,1) and determine the new target image, and repeat the above steps until the deviation value Y<Yys appears for the first time after removing a certain coordinate point.
[0051] In another preferred embodiment of the present invention, when the deviation value Y is less than Yys and the number of coordinate points that have not been removed is less than a preset number, an early warning message is sent to remind that the coffee grinder has an abnormality;
[0052] When the normal ratio is 0, an early warning message is sent to remind that the coffee grinder has an abnormality.
[0053] It can be understood that the deviation value is used to comprehensively reflect the fluctuation of the target image, and when the number of coordinate points is less than the preset number, the deviation value is less than the deviation value threshold, indicating that the deviation is relatively serious during the monitoring period, and it is necessary to continuously remove coordinate points to ensure the increase of the normal ratio, etc. Therefore, it is indicated that the coffee grinder is abnormal in this case and needs to be processed; similarly, the normal ratio is 0, indicating that the rate of change is large, which means that the deviation of the coarseness is large, and therefore it can also reflect that the coffee grinder is abnormal.
[0054] In another preferred embodiment of the present invention, the step S1 further includes the following steps:
[0055] Generate the second coordinate point (t e , H e ), H e =B e -A e , B e Indicates the actual coarseness of the coffee powder at the end of the e-th grinding in the grinding record, A e Indicates the standard coarseness of the e-th grinding in the grinding record, and fits the second coordinate point to obtain a fitting curve F(t), t∈[0, T];
[0056] The intersection of the fitting curve and the x-axis is recorded as a reference point, and the starting point and the end point of the fitting curve are recorded as reference points. When the fitting curve between two adjacent reference points is above the x-axis, it is marked as an abnormal curve, and the proportion r of the definition domain of the abnormal curve in the monitoring period is counted;
[0057] Calculate the judgment value , wherein ε represents a preset second correction coefficient. When the judgment value is less than or equal to the preset judgment value threshold, the subsequent step of adjusting the standard coarseness is not performed.
[0058] It should be noted that the fitting curve reflects the changing trend of the deviation of the coarseness in the historical grinding records. The larger the proportion of the definition domain of the abnormal curve to the monitoring period, the more deviations there are between the actual coarseness and the standard coarseness. Therefore, the judgment value should be larger. The judgment value is used to determine whether the standard coarseness during grinding needs to be corrected. Through this step, it is first determined whether the standard coarseness needs to be corrected, so as to avoid unnecessary adjustments.
[0059] In another preferred embodiment of the present invention, when the fitting curve between two adjacent reference points is below the x-axis, it is marked as a second abnormal curve, and the proportion R of the definition domain of the second abnormal curve in the monitoring period is counted. When the proportion R≥0.4, an early warning message is sent to remind that there is an abnormality in the coffee grinder.
[0060] It should be noted that when the ratio R ≥ 0.4, it means that during the monitored time period, more than 40% of the time, the actual coarseness of the grinding is smaller than the standard coarseness and does not meet the user's set requirements. Therefore, it can be determined that there is an abnormality in the coffee grinder, such as a worn grinding disc, abnormal motor angular velocity, etc.
[0061] In another preferred embodiment of the present invention, in step S1, when the coffee grinder is put into use for less than When , the subsequent steps are not executed, n represents a preset constant, and n>5.
[0062] It is understandable that in the early stage of the coffee grinder being put into use, the mechanical parts are usually in the best condition. At this time, the core components of the grinder, such as the grinding disc and motor, have not experienced long-term wear and aging, the mechanical properties are relatively stable, and there will be no abnormal noise that causes the judged standard coarseness to be greater than the actual coarseness. Therefore, there is no need for subsequent judgment.
[0063] In another preferred embodiment of the present invention, in the step S1, the grinding data in the same group are sorted according to the time axis order.
[0064] A grinding control system for a coffee grinder, comprising:
[0065] Initial module: obtaining the grinding record of the coffee grinder within a preset monitoring period T, and determining the grinding data, wherein the grinding data includes the actual coarseness of the coffee powder at the end of a single grinding, the standard coarseness during a single grinding, and the time point when the single grinding ends;
[0066] The standard coarseness is sorted in order of size, the larger the standard coarseness is, the higher the ranking is, and when the difference between two adjacent standard coarsenesses in the sorting is less than a preset difference threshold, the corresponding grinding data are regarded as the same group of grinding data;
[0067] Optimization module: Calculate the coarseness deviation value P a,b =B a,b -A a,b , B a,b Indicates the bth standard coarseness in the ath group of grinding data, A a,b Indicates the actual coarseness of the bth grinding data in the ath group, and determines the corresponding grinding end time t a,b , generate coordinate points (t a,b , P a,b ), the target image is obtained by connecting two adjacent coordinate points by a straight line;
[0068] Calculate the rate of change k a,b =(P a,b -P a,b-1 ) / (t a,b -t a,b-1 ), when the change rate is less than or equal to the preset change rate threshold, it is regarded as the normal change rate, and the proportion of the normal change rate to the total change rate is counted c;
[0069] Control module: calculate the deviation value Y, set the deviation value threshold Yys, and when the deviation value Y≥Yys, adjust the target image until the deviation value Y after a certain adjustment of the target image is less than Yys;
[0070] Determine the functional relationship g(t) of the target image at this time and calculate the average deviation , time interval [T sta , T] represents the domain of the functional relationship g(t), and the standard coarseness during grinding is , and adjust the angular velocity of the motor, Indicates the preset standard thickness.
[0071] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.
Claims
1. A grinding control method for a coffee grinder, characterized in that: The following steps are involved: S1: obtaining the grinding record of the coffee grinder within a preset monitoring period T, and determining the grinding data, wherein the grinding data includes the actual coarseness of the coffee powder at the end of a single grinding, the standard coarseness during a single grinding, and the time point when the single grinding ends; The standard coarseness is sorted in order of size, the larger the standard coarseness is, the higher the ranking is, and when the difference between two adjacent standard coarsenesses in the sorting is less than a preset difference threshold, the corresponding grinding data are regarded as the same group of grinding data; S2: Calculate the thickness deviation value Indicates the bth standard coarseness in the ath group of grinding data, Indicates the actual coarseness of the bth grinding data in the ath group, and determines the corresponding grinding end time point Generate coordinate points , the target image is obtained by connecting two adjacent coordinate points by a straight line; Calculating the rate of change , when the change rate is less than or equal to the preset change rate threshold, it is regarded as a normal change rate, and the proportion of the normal change rate to the total change rate is calculated c; S3: Calculate the deviation value Y, set the deviation value threshold Yys, and when the deviation value Y≥Yys, adjust the target image until the deviation value Y after a certain adjustment of the target image is less than Yys; Determine the functional relationship g(t) of the target image at this time and calculate the average deviation , time interval Denote the domain of the functional relationship g(t), let the standard coarseness of grinding be , and adjust the angular velocity of the motor, Indicates the preset standard thickness; The process of adjusting the target image specifically includes: The deviation value Y is calculated by the following formula: ; in, is a preset correction coefficient, f(t) represents the functional relationship of the target image, c represents the ratio of the normal change rate to the total change rate, f(0) represents the coarseness deviation value corresponding to the starting point of the target image, and f(T) represents the coarseness deviation value corresponding to the end point of the target image; When the deviation value Y≥Yys, remove the coordinate point And determine a new target image, and repeat the above steps until the deviation value Y<Yys appears for the first time after removing a certain coordinate point.
2. The grinding control method of a coffee grinder according to claim 1, characterized in that: When the deviation value Y is less than Yys and the number of coordinate points that have not been removed is less than a preset number, an early warning message is sent to remind that the coffee grinder has an abnormality; When the ratio c of the normal change rate to the total change rate is 0, an early warning message is sent to remind that the coffee grinder has an abnormality.
3. The grinding control method of a coffee grinder according to claim 1, characterized in that: The step S1 further includes the following steps: Generate the second coordinate point , , Indicates the actual coarseness of the coffee powder at the end of the e-th grinding in the grinding record, Indicates the standard coarseness of the e-th grinding in the grinding record, and fits the second coordinate point to obtain a fitting curve F(t), t∈[0, T]; The intersection of the fitting curve and the x-axis is recorded as a reference point, and the starting point and the end point of the fitting curve are recorded as reference points. When the fitting curve between two adjacent reference points is above the x-axis, it is marked as an abnormal curve, and the proportion r of the definition domain of the abnormal curve in the monitoring period is counted; Calculate the judgment value ,in It represents a preset second correction coefficient. When the judgment value is less than or equal to the preset judgment value threshold, the subsequent step of adjusting the standard coarseness is not performed.
4. The grinding control method of a coffee grinder according to claim 3, characterized in that: When the fitting curve between two adjacent reference points is below the x-axis, it is marked as a second abnormal curve, and the proportion R of the definition domain of the second abnormal curve in the monitoring period is counted. When the proportion R≥0.4, an early warning message is sent to remind that the coffee grinder has an abnormality.
5. The grinding control method of a coffee grinder according to claim 1, characterized in that: In step S1, when the coffee grinder is put into use for less than When , the subsequent steps are not executed, n represents a preset constant, and n>
5.
6. The grinding control method of a coffee grinder according to claim 1, characterized in that: In the step S1, the grinding data in the same group are sorted according to the time axis order.
7. A grinding control system for a coffee grinder, characterized in that: include: Initial module: obtaining the grinding record of the coffee grinder within a preset monitoring period T, and determining the grinding data, wherein the grinding data includes the actual coarseness of the coffee powder at the end of a single grinding, the standard coarseness during a single grinding, and the time point when the single grinding ends; The standard coarseness is sorted in order of size, the larger the standard coarseness is, the higher the ranking is, and when the difference between two adjacent standard coarsenesses in the sorting is less than a preset difference threshold, the corresponding grinding data are regarded as the same group of grinding data; Optimization module: Calculate the coarseness deviation value Indicates the bth standard coarseness in the ath group of grinding data, Indicates the actual coarseness of the bth grinding data in the ath group, and determines the corresponding grinding end time point , generate coordinate points , the target image is obtained by connecting two adjacent coordinate points by a straight line; Calculating the rate of change , when the change rate is less than or equal to the preset change rate threshold, it is regarded as a normal change rate, and the proportion of the normal change rate to the total change rate is calculated c; Control module: calculate the deviation value Y, set the deviation value threshold Yys, and when the deviation value Y≥Yys, adjust the target image until the deviation value Y after a certain adjustment of the target image is less than Yys; Determine the functional relationship of the target image at this time , calculate the average deviation , time interval Represents a functional relationship The definition domain of the standard coarseness of grinding , and adjust the angular velocity of the motor, Indicates the preset standard thickness; The process of adjusting the target image specifically includes: The deviation value Y is calculated by the following formula: ; in, is a preset correction coefficient, f(t) represents the functional relationship of the target image, c represents the ratio of the normal change rate to the total change rate, f(0) represents the coarseness deviation value corresponding to the starting point of the target image, and f(T) represents the coarseness deviation value corresponding to the end point of the target image; When the deviation value Y≥Yys, remove the coordinate point And determine a new target image, and repeat the above steps until the deviation value Y<Yys appears for the first time after removing a certain coordinate point.
Citation Information
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An intelligent control system for coffee machines based on the Internet of Things
CN118567402B
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