CN113934160A - Intelligent control method for stirrer - Google Patents
Intelligent control method for stirrer Download PDFInfo
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- CN113934160A CN113934160A CN202111239844.8A CN202111239844A CN113934160A CN 113934160 A CN113934160 A CN 113934160A CN 202111239844 A CN202111239844 A CN 202111239844A CN 113934160 A CN113934160 A CN 113934160A
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- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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Abstract
The invention discloses an intelligent control method of a stirrer, which comprises the following steps: collecting data signals of a stirrer under the working of different stirring tools, and constructing a sample database; constructing a fusion recognition model, acquiring a performance recognition result of the stirring tool, and determining the start-stop switching sequence and the running time of the stirring tool according to the performance recognition result of the stirring tool; collecting the environment temperature, the power supply temperature and the power supply working time of a power supply, and switching the power supply according to the environment temperature, the power supply temperature and the power supply working time, so that the safety of the power supply is ensured by switching the power supply while the normal work of the stirring machine is ensured; based on the performance recognition result of the stirring tool, the control device is used for realizing the uniform scheduling of the stirrer for different stirring tools; the invention realizes the technical problem of switching the stirring tools of the stirrer with a plurality of stirring tools, and provides a new technical idea for an intelligent control scheme in the technical field of stirrers.
Description
Technical Field
The application relates to the technical field of intelligent control, in particular to an intelligent control method for a stirrer.
Background
With the development of industrialization, the stirrer is widely applied to various industries, the stirring is performed in order to fully mix and fully react stirred materials, all the raw materials are directly placed in a uniform stirring tank for stirring, and in the stirring process, as the gap between a stirring tool and the inside of the sealed tank is large, the situation of uneven stirring is easy to occur, if the stirring is required to be uniform, the required time is long, and the efficiency is low; and how big design of current agitated vessel corresponds a stirring implement for a agitator tank, if an agitator tank sets up two stirring implements, not only increased the cost of equipment, and even two stirring implements use in turn each other, also can't avoid the too much problem of a certain stirring implement frequency of use, thereby cause equipment ageing, the availability factor of equipment has been reduced, though among the prior art, to equipment group control have more control method, however, do not have an intelligent control method to the stirring apparatus design that has a plurality of stirring implements, not only can guarantee that every stirring implement is in optimum operating condition, but also can guarantee whole agitating unit's security and stability.
Disclosure of Invention
In order to solve the above problems, the present invention provides an intelligent control method and system for a blender.
In order to achieve the technical purpose, the application provides an intelligent control method for a stirrer, wherein the stirrer comprises a stirring tank, two power supplies, a control device and at least two stirring tools, the stirring tools are used for stirring substances to be stirred in the stirring tank, and the intelligent control method for controlling the stirrer comprises the following steps:
collecting data signals of a stirrer under the working of different stirring tools, and constructing a sample database;
constructing a fusion recognition model, acquiring a performance recognition result of the stirring tool, and determining the start-stop switching sequence and the running time of the stirring tool according to the performance recognition result of the stirring tool;
collecting the environment temperature, the power supply temperature and the power supply working time of a power supply, and switching the power supply according to the environment temperature, the power supply temperature and the power supply working time, so that the safety of the power supply is ensured by switching the power supply while the normal work of the stirring machine is ensured;
based on the performance recognition result of the stirring tool, the control device is used for realizing the uniform scheduling of the stirring machine for different stirring tools.
Preferably, in the process of constructing the sample database, the data signals include vibration signals, current signals, acoustic emission signals and temperature signals;
constructing a first sample database according to the vibration signals, and solving by combining the correlation among the data to obtain a corresponding first membership function;
constructing a second sample database according to the current signals, and solving by combining the correlation among the data to obtain a corresponding second membership function;
a third sample database is established according to the acoustic emission signals, and corresponding third membership functions are obtained by solving in combination with the correlation among the data;
a fourth sample database is constructed according to the temperature signals, and corresponding fourth membership functions are obtained by solving in combination with the correlation among the data;
and constructing a sample database according to the first sample database, the second sample database, the third sample database and the fourth sample database.
Preferably, in the process of constructing the fusion recognition model, the following steps are included:
acquiring a group of data signals of the stirrer as input data based on a first membership function, a second membership function, a third membership function and a fourth membership function;
substituting the input data into corresponding first membership function, second membership function, third membership function and fourth membership function to obtain membership value of the input data;
acquiring the basic probability value of each stirring tool according to the membership value based on the D-S evidence theory basic probability distribution function;
fusing the input data by adopting a fusion model based on a D-S evidence theory according to the basic probability value, and determining a final mixer performance recognition fusion result according to a decision criterion of the fusion result;
and identifying a fusion result according to the performance of the stirrer, and determining the start-stop switching sequence and the running time of the stirring tool.
Preferably, in the process of determining the start-stop switching sequence of the stirring tool, the performance of the stirrer corresponding to the maximum fusion result value of the stirrer performance identification fusion result is the best, and whether the stirring tool is switched is determined according to the stirrer performance identification fusion result and the running time.
Preferably, during the process of switching the power supply, the method further comprises the following steps:
acquiring power supply temperature, environment temperature and working time of a power supply in a working state, and performing data fitting according to the maximum bearing temperature and the optimal working environment temperature of the power supply to obtain an empirical function;
and acquiring the switching time of the power supply according to the empirical function, the current power supply temperature and the current environment temperature and the maximum bearing temperature.
Preferably, before the process of obtaining the switching time of the power supply, the relationship between the current working time and the minimum working time and the maximum working time of the power supply is judged by collecting the current working time of the power supply:
if the current working time length is less than the minimum working time length, the power supply is not switched;
and if the current working duration is longer than the maximum working duration, switching the power supply.
Preferably, during the process of switching the power supply, the method further comprises the following steps:
and judging whether the stirring tool needs to be switched or not, if the stirring tool needs to be switched, switching the stirring tool firstly and then switching the power supply, or switching the power supply firstly and then switching the stirring tool.
Preferably, in the process of uniformly scheduling different blending tools by using the control device, the method further includes obtaining a corresponding relationship between the running time and the current working time according to the running time of the blender and the current working time of the power supply, and determining whether to switch the power supply simultaneously when the blending tools are switched according to the corresponding relationship.
Preferably, in the process of determining whether to switch the power supplies at the same time, the following steps are included:
when the stirring tools are switched, if the current working time is longer than 2/3 of the maximum working time, the power supply is switched first, and then the stirring tools are switched;
when the stirring tools are switched, if the current working time length is greater than 1/2 of the maximum working time length and less than 2/3 of the maximum working time length, the stirring tools are switched first, and then the power supply is switched. Preferably, the system for implementing the intelligent control method comprises a processor for implementing the intelligent control method of the blender when processing a computer program stored on a memory.
The invention discloses the following technical effects:
(1) various sensors are used for collecting various signal samples, and a multi-sensing information fusion method is adopted for fusing different multi-feature signals, so that the performance identification accuracy and precision of the stirrer are further improved;
(2) the lower computer and the upper computer are cooperatively matched to complete real-time transmission and fusion of data, and various indexes of the operation of the stirrer are accurately monitored;
(3) the preference sequence and the running time of starting and stopping of each stirring tool are determined, and the balanced adjustment of the performance of each stirring tool is ensured;
(4) the service life of each stirring tool is balanced, the use efficiency and the stirring effect of the whole system of the stirrer group are improved, and the high-quality operation of the stirrer is ensured;
(5) the invention adopts two power supplies, the working state of the power supply is regarded as a time sequence, and the power supply scheduling scheme and the characteristics, the working duration, the power supply temperature and the environment temperature of the power supply are jointly used as the basis to judge whether the power supply should be switched at the current moment; the service life of the power supply is protected, the power supply overheating caused by continuous long-time work of a single power supply is prevented, the large loss caused by frequent switching of two power supplies is prevented, continuous power supply of the stirring machine is uninterrupted, and the effect of efficient scheduling is achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1, the present invention provides an intelligent control method for a mixer, wherein the mixer comprises a mixing tank, two power supplies, a control device and at least two mixing tools, the mixing tools are used for mixing a material to be mixed in the mixing tank, and the intelligent control method for controlling the mixer comprises the following steps:
collecting data signals of a stirrer under the working of different stirring tools, and constructing a sample database;
constructing a fusion recognition model, acquiring a performance recognition result of the stirring tool, and determining the start-stop switching sequence and the running time of the stirring tool according to the performance recognition result of the stirring tool;
collecting the environment temperature, the power supply temperature and the power supply working time of a power supply, and switching the power supply according to the environment temperature, the power supply temperature and the power supply working time, so that the safety of the power supply is ensured by switching the power supply while the normal work of the stirring machine is ensured;
based on the performance recognition result of the stirring tool, the control device is used for realizing the uniform scheduling of the stirring machine for different stirring tools.
Further, in the process of constructing the sample database, the data signals comprise vibration signals, current signals, acoustic emission signals and temperature signals;
constructing a first sample database according to the vibration signals, and solving by combining the correlation among the data to obtain a corresponding first membership function;
constructing a second sample database according to the current signals, and solving by combining the correlation among the data to obtain a corresponding second membership function;
a third sample database is established according to the acoustic emission signals, and corresponding third membership functions are obtained by solving in combination with the correlation among the data;
a fourth sample database is constructed according to the temperature signals, and corresponding fourth membership functions are obtained by solving in combination with the correlation among the data;
and constructing a sample database according to the first sample database, the second sample database, the third sample database and the fourth sample database.
Further, in the process of constructing the fusion recognition model, the method comprises the following steps:
acquiring a group of data signals of the stirrer as input data based on a first membership function, a second membership function, a third membership function and a fourth membership function;
substituting the input data into corresponding first membership function, second membership function, third membership function and fourth membership function to obtain membership value of the input data;
acquiring the basic probability value of each stirring tool according to the membership value based on the D-S evidence theory basic probability distribution function;
fusing the input data by adopting a fusion model based on a D-S evidence theory according to the basic probability value, and determining a final mixer performance recognition fusion result according to a decision criterion of the fusion result;
and identifying a fusion result according to the performance of the stirrer, and determining the start-stop switching sequence and the running time of the stirring tool.
Further, in the process of determining the start-stop switching sequence of the stirring tool, the performance of the stirrer corresponding to the maximum fusion result value of the stirrer performance identification fusion result is the best, and whether the stirring tool is switched is determined according to the stirrer performance identification fusion result and the running time.
Further, in the process of switching the power supply, the method further comprises the following steps:
acquiring power supply temperature, environment temperature and working time of a power supply in a working state, and performing data fitting according to the maximum bearing temperature and the optimal working environment temperature of the power supply to obtain an empirical function;
and acquiring the switching time of the power supply according to the empirical function, the current power supply temperature and the current environment temperature and the maximum bearing temperature.
Further, before the process of obtaining the switching time of the power supply, the relationship between the current working time and the minimum working time and the maximum working time of the power supply is judged by collecting the current working time of the power supply:
if the current working time length is less than the minimum working time length, the power supply is not switched;
and if the current working duration is longer than the maximum working duration, switching the power supply.
Further, in the process of switching the power supply, the method also comprises the following steps:
and judging whether the stirring tool needs to be switched or not, if the stirring tool needs to be switched, switching the stirring tool firstly and then switching the power supply, or switching the power supply firstly and then switching the stirring tool.
Further, in the process of uniformly scheduling different stirring tools by using the control device, the method further includes obtaining a corresponding relation between the running time and the current working time according to the running time of the stirrer and the current working time of the power supply, and determining whether to switch the power supply simultaneously when the stirring tools are switched according to the corresponding relation.
Further, in the process of determining whether to switch the power supplies at the same time, the method comprises the following steps:
when the stirring tools are switched, if the current working time is longer than 2/3 of the maximum working time, the power supply is switched first, and then the stirring tools are switched;
when the stirring tools are switched, if the current working time length is greater than 1/2 of the maximum working time length and less than 2/3 of the maximum working time length, the stirring tools are switched first, and then the power supply is switched.
Further, a system for implementing the intelligent control method includes a processor for implementing the intelligent control method of the blender when processing a computer program stored on a memory.
Example 1: the process for acquiring the performance identification result of the stirrer comprises the following steps:
1) respectively acquiring a group of vibration, current, acoustic emission and temperature multi-signal characteristic sample data of at least two stirring tools according to membership functions corresponding to the at least two stirring tools, and substituting the sample data into the calculated membership functions as input data to obtain membership values of vibration signals, current signals, acoustic emission signals and temperature signals;
2) taking the obtained membership values of the vibration signal, the current signal, the acoustic emission signal and the temperature signal as basic input values of a basic probability distribution function of a D-S evidence theory, calculating to obtain a basic probability value of each air compressor after the membership values are taken in, fusing multi-characteristic sample data of vibration, temperature, pressure, acoustic emission and current by adopting a fusion model based on the D-S evidence theory to obtain uncertainty and a confidence value of performance recognition results of each stirring tool, and determining a final stirring machine performance recognition fusion result according to a decision rule of the fusion result;
the D-S evidence theory identification decision criterion mentioned in the invention is as follows:
1. the reliability value of the performance identification result of the stirrer is greater than the reliability values of any other fault identification results;
2. subtracting the reliability value of any other mixer performance identification result from the reliability value of the mixer performance identification result and is more than a threshold value K;
3. the uncertainty of the performance identification result of the stirrer is less than a threshold value L.
The start-stop sequence, the running time and the use frequency of each stirring tool in the stirrer are all inconsistent, the service life of the stirrer is greatly shortened, and therefore the use condition of the stirrer can be regularly and uniformly adjusted according to the start-stop preference sequence of the stirring tools.
Meanwhile, vibration signals, current signals, acoustic emission signals and temperature signals acquired by various sensors on the stirrer can be acquired again within a certain time interval, new multi-characteristic signal sample data and membership functions are generated again, new fusion is performed by using a fusion recognition model, the preference start-stop sequence and the running time of the stirring tool are updated after new fusion results are acquired, and the service balance degree of the stirring tool is dynamically adjusted.
The invention regards the working state of the two power supply sources as a time sequence { YM }, wherein M represents each time (M is 1, 2, …), YM is A1, and A2. For each type of power supply, the environmental temperature is controlled in a laboratory in advance, the current power supply temperature T1, the current environmental temperature T2 and the working time T of the current power supply are obtained by adopting a sampling value which is continuously obtained by a sensor and a timer at a certain time interval, and a relation function g is fitted through a function. An empirical function g of the power supply is obtained, wherein g is related to the current power supply temperature T1, the current environment temperature T2 and the time length T for which the current power supply is operated, and T is g (T1, T2, T).
The working state YM +1 of the power supply at the next moment is determined by the four factors of the current power supply temperature T1, the current environment temperature T2, the working time T of the current power supply and the current working power supply YM. If the operating state of the power supply at the next moment is the same as the operating state of the power supply at this moment (the operating power supplies are the same, namely, both are A1 or both are A2), then the power supply is not switched, otherwise, the power supply is switched. The current power supply temperature T1, the current environment temperature T2 and the working time length T of the current power supply are real-time observation values and are obtained by a sensor and a timer.
The scheduling rule of the time sequence in the invention is divided into two steps: this step may include: stage one: judging the relation between the working time t of the current power supply and the shortest working time tmin and the longest working time tmax, if t is less than tmin, the power supply is not switched, if t is greater than tmax, the power supply is directly switched, otherwise, the next step is carried out; and a second stage: and judging that the power supply is switched after the duration of y according to the current power supply temperature TS, the current environment temperature TE and the highest temperature Tmax which can be borne by the current working power supply, wherein y is g (Tmax, T2, T) -g (T1, T2, T).
By combining the power scheduling device based on the time sequence of the embodiment, the invention adopts two power supplies, the working state of the power supply is regarded as the time sequence, and the power scheduling scheme and the characteristics, the working duration, the power temperature and the environment temperature of the power supply are taken as the basis together to judge whether the power supply should be switched at the current moment; the service life of the power supply is protected, the power supply overheating caused by continuous long-time work of a single power supply is prevented, the large loss caused by frequent switching of two power supplies is prevented, continuous power supply of the stirring machine is uninterrupted, and the effect of efficient scheduling is achieved.
The stirring machine provided by the invention can be called as stirring equipment, the stirring tool and the stirring tank for stirring form an equipment main body, the control device is used for controlling the whole stirring equipment to stir according to the intelligent control method provided by the invention, and in the stirring process, the vibration, current, sound emission and temperature signals of the stirring tool are collected, wherein the vibration signal of the stirring tool is directly related to the fatigue degree of the stirring tool and the resistance degree of a part for stirring, the current signal is used for representing the power condition of the stirring tool, the sound emission signal is used for representing the stress conditions of the resistance, friction and the like of the stirring tool and the use condition of a driving motor and the like, the temperature signal can intuitively reflect the actual working condition of the stirring tool in real time, the temperature of the equipment can also cause the rise of the ambient temperature, and further has certain influence on a stirred object and a power supply, by designing the temperature threshold of the stirring tool, the temperature threshold is determined by aiming at the reaction temperature condition of the stirred object, the environment requirement condition of the stirred object, the environment temperature condition required by the power supply and the lowest working temperature and the highest working temperature of the stirring tool, when the self temperature of one stirring tool is higher than the temperature threshold, the stirring tool is stopped, a second stirring tool is started to enter the stirring tank for continuous stirring, and during the period, because the second stirring tool is always at the environment temperature, when the stirring tool enters the stirring tank, a certain cooling effect can be carried out on the stirred object, as long as the stirring speed is mastered, the temperature rising speed is well controlled, the problem that the quality of the stirred object is influenced by the self heating of the stirring tool due to long-time work can be effectively avoided, and the problem that the environment temperature is higher due to overlong working time of the stirring equipment can also be avoided, the service life of the power supply is influenced, and the safe operation of the whole stirring equipment is further ensured.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus once an item is defined in one figure, it need not be further defined and explained in subsequent figures, and moreover, the terms "first", "second", "third", etc. are used merely to distinguish one description from another and are not to be construed as indicating or implying relative importance.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the present invention in its spirit and scope. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An intelligent control method of a stirrer is characterized in that the stirrer comprises a stirring tank, two power supplies, a control device and at least two stirring tools, the stirring tools are used for stirring substances to be stirred in the stirring tank, and the intelligent control method is used for controlling the stirrer and comprises the following steps:
collecting data signals of the stirrer under the working of different stirring tools, and constructing a sample database;
constructing a fusion recognition model, acquiring a performance recognition result of the stirring tool, and determining the start-stop switching sequence and the running time of the stirring tool according to the performance recognition result of the stirring tool;
collecting the environment temperature, the power supply temperature and the power supply working time of the power supply, and switching the power supply according to the environment temperature, the power supply temperature and the power supply working time, so as to ensure the safety of the power supply by switching the power supply while ensuring the normal work of the stirrer;
and based on the performance recognition result of the stirring tool, utilizing the control device to realize the uniform scheduling of the stirrer for different stirring tools.
2. The intelligent control method for the stirring machine according to claim 1, characterized in that:
in the process of constructing a sample database, the data signals comprise vibration signals, current signals, acoustic emission signals and temperature signals;
constructing a first sample database according to the vibration signals, and solving by combining the correlation among the data to obtain a corresponding first membership function;
constructing a second sample database according to the current signals, and solving by combining the correlation among the data to obtain a corresponding second membership function;
a third sample database is established according to the acoustic emission signals, and corresponding third membership functions are obtained by solving in combination with the correlation among the data;
a fourth sample database is constructed according to the temperature signals, and corresponding fourth membership functions are obtained by solving in combination with the correlation among the data;
and constructing the sample database according to the first sample database, the second sample database, the third sample database and the fourth sample database.
3. The intelligent control method of the mixer according to claim 2, characterized in that:
in the process of constructing the fusion recognition model, the method comprises the following steps:
acquiring a group of data signals of the stirrer as input data based on the first membership function, the second membership function, the third membership function and the fourth membership function;
substituting the input data into the corresponding first membership function, the second membership function, the third membership function and the fourth membership function to obtain a membership value of the input data;
based on a D-S evidence theory basic probability distribution function, obtaining a basic probability value of each stirring tool according to the membership value;
fusing the input data by adopting a fusion model based on a D-S evidence theory according to the basic probability value, and determining a final mixer performance recognition fusion result according to a decision criterion of the fusion result;
and determining the start-stop switching sequence and the running time of the stirring tool according to the performance identification fusion result of the stirrer.
4. The intelligent control method of the mixer according to claim 3, characterized in that:
in the process of determining the start-stop switching sequence of the stirring tools, the performance of the stirrer corresponding to the maximum fusion result value of the performance identification fusion results of the stirrer is optimal, and whether the stirring tools are switched is determined according to the performance identification fusion results of the stirrer and the running time.
5. The intelligent control method of the stirring machine according to claim 4, characterized in that:
in the process of switching the power supply, the method further comprises the following steps:
acquiring power supply temperature, environment temperature and working time of the power supply in a working state, and performing data fitting according to the maximum bearing temperature and the optimal working environment temperature of the power supply to obtain an empirical function;
and acquiring the switching time of the power supply according to the empirical function, the current power supply temperature and the current environment temperature and the maximum bearing temperature.
6. The intelligent control method for the stirring machine according to claim 5, wherein the intelligent control method comprises the following steps:
before the process of obtaining the switching time of the power supply, judging the relationship between the current working time and the minimum working time and the maximum working time of the power supply by acquiring the current working time of the power supply:
when the current working duration is less than the minimum working duration, the power supply is not switched;
and when the current working duration is longer than the maximum working duration, switching the power supply.
7. The intelligent control method for the stirring machine according to claim 6, wherein the intelligent control method comprises the following steps:
in the process of switching the power supply, the method further comprises the following steps:
and judging whether the stirring tool needs to be switched or not, if the stirring tool needs to be switched, switching the stirring tool firstly and then switching the power supply, or switching the power supply firstly and then switching the stirring tool.
8. The intelligent control method for the stirring machine according to claim 7, characterized in that:
in the process of uniformly scheduling different stirring tools by using the control device, the method further comprises the steps of obtaining the corresponding relation between the running time and the current working time according to the running time of the stirrer and the current working time of the power supply, and determining whether to switch the power supply simultaneously when the stirring tools are switched according to the corresponding relation.
9. The intelligent control method for the stirring machine according to claim 8, characterized in that:
in the process of determining whether to switch the power supplies simultaneously, the method comprises the following steps:
when the stirring tool is switched, when the current working duration is greater than 2/3 of the maximum working duration, switching the power supply firstly, and then switching the stirring tool;
when the stirring tool is switched, when the current working time length is greater than 1/2 of the maximum working time length and less than 2/3 of the maximum working time length, the stirring tool is switched first, and then the power supply is switched.
10. The intelligent control method for the stirring machine according to claim 9, wherein the intelligent control method comprises the following steps: comprises that
System for implementing the method of any of claims 1-9, comprising a processor for implementing the method of any of claims 1-9 when processing a computer program stored on a memory.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115069156A (en) * | 2022-07-25 | 2022-09-20 | 深圳市麦瑞包装制品有限公司 | Method for controlling rotating mechanism of stirring tank for processing environment-friendly material with impurity scraping function |
| CN116351313A (en) * | 2023-05-31 | 2023-06-30 | 广东奔富之堡智能家电工程技术研究中心有限公司 | Intelligent control system of food mixer based on computer control |
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