CN113699741A - Washing machine control method and system based on cloud rule - Google Patents
Washing machine control method and system based on cloud rule Download PDFInfo
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- CN113699741A CN113699741A CN202111177275.9A CN202111177275A CN113699741A CN 113699741 A CN113699741 A CN 113699741A CN 202111177275 A CN202111177275 A CN 202111177275A CN 113699741 A CN113699741 A CN 113699741A
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F33/00—Control of operations performed in washing machines or washer-dryers
- D06F33/30—Control of washing machines characterised by the purpose or target of the control
- D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry
- D06F33/36—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of washing
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/04—Signal transfer or data transmission arrangements
- D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or control
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/18—Condition of the laundry, e.g. nature or weight
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
- D06F2103/68—Operation mode; Program phase
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2105/00—Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
- D06F2105/46—Drum speed; Actuation of motors, e.g. starting or interrupting
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2105/00—Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
- D06F2105/52—Changing sequence of operational steps; Carrying out additional operational steps; Modifying operational steps, e.g. by extending duration of steps
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
- D06F2105/00—Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
- D06F2105/58—Indications or alarms to the control system or to the user
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Abstract
The invention discloses a washing machine control method and system based on cloud rules, which comprises the following steps of; detecting whether a washing starting signal is received; when a washing starting signal is received, judging whether a weight signal sent by a weight acquisition module arranged on a top cover of the washing machine is received or not; when the weight signal is received, collecting preset parameters of the washing machine, and inputting the preset parameters and the weight signal of the washing machine into a washing mode selection model to generate a target washing mode; the method and the device have the advantages that whether the preset washing mode is set in the washing machine or not is detected, and whether the target washing mode is matched with the preset washing mode or not is judged when the preset washing mode is set.
Description
Technical Field
The invention relates to the technical field of washing machine control methods, in particular to a washing machine control method and system based on cloud rules.
Background
As is known, a full-automatic intelligent washing machine presets a plurality of programs in the whole washing process (soaking, washing, rinsing and dewatering), one of the programs is selected during washing, the whole washing process is automatically finished after a water faucet is turned on and a washing machine switch is started, and a buzzer sounds when the washing is finished.
If the authorized bulletin number is: CN106283500B, publication date 2019.02.01, entitled "A control method for washing machine, control device for washing machine and washing machine", the control method for washing machine includes measuring the weight of clothes in washing machine at set time intervals; according to the weight of the clothes, washing parameters of the washing machine are adjusted, and before the washing program, the washing machine further comprises a weighing program, wherein the weighing program comprises the following steps: measuring a weight of laundry within the washing machine; acquiring a set water level according to the weight of the clothes; when the difference between the set water level and the current water level of the washing machine is larger than a first threshold value, feeding water into the washing machine according to a first set water inflow which is not larger than the water inflow corresponding to the set water level, and returning to the step of measuring the weight of the clothes in the washing machine; executing the washing program when a difference between the set water level and the current water level is not greater than the first threshold.
Nowadays, along with the popularization of washing machine, and the rise of intelligent household electrical appliances, people pay more and more attention to the experience that the household electrical appliances use, but current washing machine can only realize recommending the parameter of doing washing for the user according to the condition such as the material of the clothing of waiting to wash, surface fabric, it is unclean to appear the clothing washing easily in the cleaning process, or wait to wash clothing volume too big, lead to the too big condition that damages of appearance of washing machine load, simultaneously because control rule is single, and place the washing machine inside in the algorithm, lead to the rule parameter rigidity, and be unfavorable for system safety.
Disclosure of Invention
The invention aims to provide a washing machine control method and system based on cloud rules, so as to overcome the defects in the prior art.
In order to achieve the above purpose, the invention provides the following technical scheme: a washing machine control method based on cloud rules comprises the following steps;
s1: detecting whether a washing starting signal is received;
s2: when a washing starting signal is received, judging whether a weight signal sent by a weight acquisition module arranged on a top cover of the washing machine is received or not;
s3: when the weight signal is received, collecting preset parameters of the washing machine, and inputting the preset parameters and the weight signal of the washing machine into a washing mode selection model to generate a target washing mode;
s4: detecting whether a preset washing mode is set in the washing machine, and judging whether the target washing mode is matched with the preset washing mode when the preset washing mode is set so as to realize early warning reminding and automatic control of the washing machine;
s5: when the target washing mode is not matched with the preset washing mode, the target washing mode and the preset washing mode are respectively obtained and scored, and analysis is carried out to realize intelligent adjustment of the washing mode.
As a further description of the above technical solution: the method for generating the washing pattern selection model in the step S3 specifically includes the following steps:
s3.1: acquiring a plurality of training clothes with the same weight, respectively putting each training clothes into washing machines with different specification parameters for washing for a plurality of times, wherein the training clothes washing modes for washing the training clothes every time are different;
s3.2: acquiring a washing machine state parameter in each washing process and a washing parameter of training clothes after each washing;
s3.3: and selecting training clothes with different weights to repeatedly execute S3.1-S3.2, and generating a washing mode selection model according to the state parameters and the washing parameters of the washing machine.
As a further description of the above technical solution: the washing mode selection model generated according to the washing machine state parameters and the washing parameters is specifically as follows:
s3.31: calculating the washing score of the dynamic balance adjusting time, the water inflow, the rinsing time, the rinsing times, the motor rotating speed, the dehydration time and the dehydration times of the washing machine in the washing process and the washing parameters of the washed training clothes according to preset weight values;
s3.32: respectively calculating the washing score of each weight of the training clothes for washing each time, and taking the training washing mode corresponding to the highest value of the washing score of each weight of the training clothes for washing in the washing machines with the same specification parameters as the optimal training washing mode;
s3.33: and generating the washing mode selection model by corresponding all the optimal training washing modes of the training clothes with each weight to be washed in the washing machine with each specification parameter to the weight of the training clothes.
As a further description of the above technical solution: the preset parameters of the washing machine comprise the capacity of the washing machine and the load parameters of a motor of the washing machine;
the washing machine state parameters comprise dynamic balance adjustment time, water inflow, rinsing time, rinsing times, motor rotating speed, dewatering time and dewatering times of the washing machine.
As a further description of the above technical solution: in step S3, when the weight signal is not received, the washing machine is controlled to operate according to a preset washing mode in the washing machine, or the washing machine is controlled to operate according to a washing mode input by the user.
As a further description of the above technical solution: the step S4 detects whether a preset washing mode is set in the washing machine, and when the preset washing mode is not set, the washing machine can be directly controlled to operate through the target washing mode, and when the target washing mode is matched with the preset washing mode, the washing parameters of the target washing mode are obtained, and the washing equipment of the washing machine is controlled to operate according to the washing parameters.
As a further description of the above technical solution: when the target washing mode is not matched with the preset washing mode, the step S5 of respectively obtaining the target washing mode and the preset washing mode score, and analyzing to realize the intelligent adjustment of the washing mode specifically comprises the following steps:
s5.1: acquiring past washing record scores of a target washing mode, and acquiring past washing record scores of a preset washing mode;
s5.2: and judging the target washing mode and the preset washing record scores of the washing modes, and recommending the washing mode with higher washing record score for the user.
A washing machine control system based on cloud rules, comprising:
the weight acquisition module is arranged on the top cover of the washing machine and is used for detecting a weight signal of clothes to be washed placed on the top cover of the washing machine;
the signal receiving device is arranged on the washing machine and used for receiving a washing machine driving signal;
the cloud end is used for storing preset parameters of the washing machine;
the control module is connected with the weight acquisition module, the signal receiving device and the cloud end respectively, the controller determines a target washing mode according to preset parameters and weight signals and controls the washing machine to operate according to the target washing mode, and the control module is further connected with an alarm
As a further description of the above technical solution: the washing machine also comprises a preset washing mode acquisition module; the preset washing mode acquisition module is arranged in the washing machine and is respectively connected with the cloud end and the control module, and the preset washing mode acquisition module is used for detecting whether a preset washing mode is arranged in the washing machine.
As a further description of the above technical solution: still including grading device, the grading device sets up on washing machine, the grading device is used for typeeing the record of doing washing and grades, and the grading device is connected with high in the clouds communication.
In the technical scheme, the cloud rule-based washing machine control method and system provided by the invention can be used for obtaining the optimal parameters by obtaining the cloud self-adaptive algorithm rule according to the parameters of washing materials, fabrics, weight and the like of the washing machine, so that accurate washing is achieved, and the condition that the washing machine is damaged due to overlarge load caused by the incomplete washing or the overlarge amount of clothes to be washed is avoided. Meanwhile, the algorithm and the data are calculated through the cloud, so that the method and the system have the characteristics of flexibility, accuracy, strong self-adaption, high safety and the like, the washing machine operation rule algorithm is placed at the cloud, and the cloud can utilize the big data, the rule algorithm and the like to realize the cloud algorithm rule to obtain the optimal solution, so that the method and the system have the characteristics of flexibility, accuracy, strong self-adaption, high safety and the like.
Drawings
In order to more clearly illustrate the embodiments of the present application or 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 described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a schematic diagram of a washing machine control method based on cloud rules according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating a process flow of determining whether the target washing pattern and the preset washing pattern are matched according to the embodiment of the present invention;
fig. 3 is a schematic diagram of a generation process of a washing mode selection model according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a washing machine control system based on cloud rules according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, those skilled in the art will now describe the present invention in further detail with reference to the accompanying drawings.
Referring to fig. 1-4, an embodiment of the present invention provides a technical solution: a washing machine control method based on cloud rules comprises the following steps;
s1: detecting whether a washing starting signal is received; the method comprises the steps of detecting whether the washing machine receives a washing starting signal, wherein the washing starting signal can be a signal indicating whether the washing machine is started or not, can also be a signal indicating that a user selects a washing button and does not click a start button or a starting button, and can also be a signal indicating that the washing starting button or a control is arranged on the washing machine;
s2: when a washing starting signal is received, judging whether a weight signal sent by a weight acquisition module arranged on a top cover of the washing machine is received or not; specifically, can acquire the weight signal of treating the washing clothing through the weight collection module of setting on washing machine top cap, utilize the washing machine top cap, carry out automatic intelligence to the clothing and weigh, improve the utilization efficiency to washing machine, weight detection device can be resistance foil gage, through response weight change, output electric signal
S3: when the weight signal is received, collecting preset parameters of the washing machine, and inputting the preset parameters and the weight signal of the washing machine into a washing mode selection model to generate a target washing mode; when the weight signal of the clothes to be cleaned is received, the preset parameters of the washing machine, such as various specification parameters of the washing machine, such as the capacity of the washing machine, the motor load of the washing machine and other parameters, are obtained, the preset parameters and the weight signal of the washing machine are determined into the target washing mode, the washing mode is adjusted by detecting the weight signal of the clothes to be cleaned, the influence of eccentricity on a bearing, a motor and a support frame of the washing machine when the weight of the clothes works is reduced, noise and vibration are reduced, and therefore the service life of the washing machine is prolonged.
Optionally, the washing mode of the preset parameter and the weight signal most suitable for the washing machine is determined through the past washing record, the past washing record may be the use process of the washing machine of another user obtained from internet big data, or the data obtained in the washing experiment of each washing machine for clothes with different weights in a laboratory or a research and development center, and the corresponding washing mode selection model is trained according to the past washing record.
S4: detecting whether a preset washing mode is set in the washing machine (wherein the preset washing mode can be a washing mode set by a user or a washing mode for washing at the previous time), and judging whether a target washing mode is matched with the preset washing mode when the preset washing mode is set so as to realize early warning reminding and automatic control of the washing machine; when the washing machine is provided with a preset washing mode, whether the target washing mode obtained by the process is matched with the preset washing mode is judged, when the washing machine does not have the preset washing mode, the washing machine can be directly controlled to operate through the target washing mode, and when the target washing mode is not matched with the preset washing mode, a mode conflict alarm signal is generated to give an alarm.
S5: when the target washing mode is not matched with the preset washing mode, the target washing mode and the preset washing mode are respectively obtained and scored, and analysis is carried out to realize intelligent adjustment of the washing mode. The method comprises the steps of respectively obtaining washing record scores under two washing modes when a target washing mode is not matched with a preset washing mode, wherein the washing record scores can be manually input by a user after clothes are washed each time, or can be calculated according to the washing degree of the clothes and working parameters of the washing machine according to weight values, for example, the clothes are washed cleanly, the scores are higher, the working parameters of the washing machine are more stable, the damage to the washing machine is smaller, and the scores are higher.
In another embodiment provided by the present invention, the method for generating the washing pattern selection model in step S3 specifically includes the following steps:
s3.1: acquiring a plurality of training clothes with the same weight, respectively putting each training clothes into washing machines with different specification parameters for washing for a plurality of times, wherein the training clothes washing modes for washing the training clothes every time are different; the training clothes are put into washing machines with different specification parameters respectively to be washed for a plurality of times, and the training clothes washing modes of washing each training clothes are different, so that the clothes washing in different washing modes for a plurality of times is realized.
S3.2: acquiring a washing machine state parameter in each washing process and a washing parameter of training clothes after each washing; namely, the washing machine state parameters in each washing process and the washing parameters after washing are obtained, wherein the washing machine state parameters comprise: the dynamic balance adjustment time, the water inflow, the rinsing time, the rinsing times, the motor speed, the dehydration time and the dehydration times of the washing machine in each cleaning process are used as washing machine state parameters, and the washing parameters comprise: the degree of laundry washing, the degree of laundry damage, etc.
S3.3: and selecting training clothes with different weights to repeatedly execute S3.1-S3.2, and generating a washing mode selection model according to the state parameters and the washing parameters of the washing machine. And continuously selecting training clothes with different weights to carry out S51-S52 to obtain the cleaning conditions of the clothes with different weights under different conditions, and summarizing through each group of cleaning results to obtain a final washing mode selection model, wherein the summarization mode can be vector machine, linear regression or convolutional neural network training.
In another embodiment of the present invention, the generating of the washing mode selection model according to the washing machine state parameters and the washing parameters is specifically:
s3.31: calculating the washing score of the dynamic balance adjusting time, the water inflow, the rinsing time, the rinsing times, the motor rotating speed, the dehydration time and the dehydration times of the washing machine in the washing process and the washing parameters of the washed training clothes according to preset weight values;
s3.32: respectively calculating the washing score of each weight of the training clothes for washing each time, and taking the training washing mode corresponding to the highest value of the washing score of each weight of the training clothes for washing in the washing machines with the same specification parameters as the optimal training washing mode;
s3.33: and generating the washing mode selection model by corresponding all the optimal training washing modes of the training clothes with each weight to be washed in the washing machine with each specification parameter to the weight of the training clothes.
The washing scores of washing of each time are respectively calculated according to the washing parameters of the clothes with different weights after washing, score evaluation of the washing result of each time is achieved, a user can conveniently and objectively see the washing result, the training washing mode with the highest washing score of the washing machine corresponding to each weight of clothes and each specification parameter is taken as the optimal training washing mode, therefore, the optimal training washing mode is obtained for each weight of clothes and each specification parameter of the washing machine, all the optimal training washing modes corresponding to the weight of the clothes and the specification parameters of the washing machine are trained to obtain the washing mode selection model, and in the example, the washing mode selection model can be generated through a linear regression calculation mode.
In another embodiment of the present invention, in step S3, when the weight signal is not received, the washing machine is controlled to operate according to a preset washing mode in the washing machine, or the washing mode input by the user is controlled to operate.
In still another embodiment of the present invention, step S4 detects whether a preset washing mode is set in the washing machine, and when the preset washing mode is not set, the washing machine can be directly controlled to operate through the target washing mode, and when the target washing mode matches the preset washing mode, the washing parameters of the target washing mode are obtained, and the washing equipment of the washing machine is controlled to operate according to the washing parameters. The washing machine is controlled to work by using the target washing mode, for example, clothes to be washed are washed according to the target washing mode, or working parameters of the washing machine are set according to the target washing mode, for example, washing related parameters such as washing times, motor rotating speed and dehydration times are set for a user, so that the user can conveniently adjust the washing machine.
In another embodiment of the present invention, when the target laundry mode and the preset laundry mode are not matched, the step S5 respectively obtains scores of the target laundry mode and the preset laundry mode, and analyzes the scores to realize the intelligent adjustment of the laundry mode specifically includes the following steps:
s5.1: acquiring past washing record scores of a target washing mode, and acquiring past washing record scores of a preset washing mode;
s5.2: and judging the target washing mode and the preset washing record scores of the washing modes, and recommending the washing mode with higher washing record score for the user.
The embodiment of the invention provides another technical scheme: a washing machine control system based on cloud rules, comprising:
the weight acquisition module is arranged on the top cover of the washing machine and is used for detecting a weight signal of clothes to be washed placed on the top cover of the washing machine;
the signal receiving device is arranged on the washing machine and used for receiving a washing machine driving signal;
the cloud end is used for storing preset parameters of the washing machine;
the controller is respectively connected with the weight acquisition module, the signal receiving device and the cloud end, the controller determines a target washing mode according to preset parameters and weight signals and controls the washing machine to operate according to the target washing mode, and the control module is further connected with an alarm.
In another embodiment provided by the invention, the washing machine further comprises a preset washing mode acquisition module; the preset washing mode acquisition module is arranged in the washing machine and is respectively connected with the cloud end and the control module, and the preset washing mode acquisition module is used for detecting whether a preset washing mode is arranged in the washing machine.
In another embodiment provided by the invention, the washing machine further comprises a grading device, the grading device is arranged on the washing machine and used for inputting washing record grades, and the grading device is in communication connection with the cloud.
While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that the described embodiments may be modified in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and should not be construed as limiting the scope of the invention.
Claims (10)
1. A washing machine control method based on cloud rules is characterized by comprising the following steps;
s1: detecting whether a washing starting signal is received;
s2: when a washing starting signal is received, judging whether a weight signal sent by a weight acquisition module arranged on a top cover of the washing machine is received or not;
s3: when the weight signal is received, collecting preset parameters of the washing machine, and inputting the preset parameters and the weight signal of the washing machine into a washing mode selection model to generate a target washing mode;
s4: detecting whether a preset washing mode is set in the washing machine, and judging whether the target washing mode is matched with the preset washing mode when the preset washing mode is set so as to realize early warning reminding and automatic control of the washing machine;
s5: when the target washing mode is not matched with the preset washing mode, the target washing mode and the preset washing mode are respectively obtained and scored, and analysis is carried out to realize intelligent adjustment of the washing mode.
2. The cloud rule-based washing machine control method of claim 1, wherein the method for generating the washing pattern selection model in step S3 specifically comprises the following steps:
s3.1: acquiring a plurality of training clothes with the same weight, respectively putting each training clothes into washing machines with different specification parameters for washing for a plurality of times, wherein the training clothes washing modes for washing the training clothes every time are different;
s3.2: acquiring a washing machine state parameter in each washing process and a washing parameter of training clothes after each washing;
s3.3: and selecting training clothes with different weights to repeatedly execute S3.1-S3.2, and generating a washing mode selection model according to the state parameters and the washing parameters of the washing machine.
3. The cloud rule-based washing machine control method according to claim 2, wherein the generation of the washing mode selection model according to the washing machine state parameters and the washing parameters is specifically as follows:
s3.31: calculating the washing score of the dynamic balance adjusting time, the water inflow, the rinsing time, the rinsing times, the motor rotating speed, the dehydration time and the dehydration times of the washing machine in the washing process and the washing parameters of the washed training clothes according to preset weight values;
s3.32: respectively calculating the washing score of each weight of the training clothes for washing each time, and taking the training washing mode corresponding to the highest value of the washing score of each weight of the training clothes for washing in the washing machines with the same specification parameters as the optimal training washing mode;
s3.33: and generating the washing mode selection model by corresponding all the optimal training washing modes of the training clothes with each weight to be washed in the washing machine with each specification parameter to the weight of the training clothes.
4. The cloud rule-based washing machine control method according to claim 3, wherein the preset parameters of the washing machine comprise capacity of the washing machine and motor load parameters of the washing machine;
the washing machine state parameters comprise dynamic balance adjustment time, water inflow, rinsing time, rinsing times, motor rotating speed, dewatering time and dewatering times of the washing machine.
5. The method of claim 1, wherein in step S3, when the weight signal is not received, the washing machine is controlled to operate according to a preset washing mode in the washing machine, or according to a washing mode input by a user.
6. The cloud-based control method for the washing machine as claimed in claim 1, wherein the step S4 detects whether a preset washing pattern is set in the washing machine, and when the preset washing pattern is not set, the washing machine is directly controlled to operate by the target washing pattern, and when the target washing pattern matches the preset washing pattern, the washing parameters of the target washing pattern are obtained, and the washing equipment of the washing machine is controlled to operate according to the washing parameters.
7. The cloud-based control method for the washing machine as claimed in claim 1, wherein in the step S5, when the target washing pattern and the preset washing pattern are not matched, the target washing pattern and the preset washing pattern score are respectively obtained, and the step S of analyzing to realize the intelligent adjustment of the washing pattern specifically comprises the following steps:
s5.1: acquiring past washing record scores of a target washing mode, and acquiring past washing record scores of a preset washing mode;
s5.2: and judging the target washing mode and the preset washing record scores of the washing modes, and recommending the washing mode with higher washing record score for the user.
8. A washing machine control system based on cloud rules, comprising:
the weight acquisition module is arranged on the top cover of the washing machine and is used for detecting a weight signal of clothes to be washed placed on the top cover of the washing machine;
the signal receiving device is arranged on the washing machine and used for receiving a washing machine driving signal;
the cloud end is used for storing preset parameters of the washing machine;
the controller is respectively connected with the weight acquisition module, the signal receiving device and the cloud end, the controller determines a target washing mode according to preset parameters and weight signals and controls the washing machine to operate according to the target washing mode, and the control module is further connected with an alarm.
9. The cloud rule-based washing machine control system of claim 8, further comprising a preset washing pattern obtaining module;
the preset washing mode acquisition module is arranged in the washing machine and is respectively connected with the cloud end and the control module, and the preset washing mode acquisition module is used for detecting whether a preset washing mode is arranged in the washing machine.
10. The washing machine control system based on the cloud rules of claim 8, further comprising a grading device, wherein the grading device is arranged on the washing machine and used for inputting washing record grading, and the grading device is in communication connection with the cloud.
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| CN114000306A (en) * | 2021-12-06 | 2022-02-01 | 四川虹美智能科技有限公司 | Intelligent washing machine control method based on driving parameters |
| CN114150473A (en) * | 2021-12-06 | 2022-03-08 | 四川虹美智能科技有限公司 | Intelligent washing machine control device based on driving parameters |
| CN116991146A (en) * | 2023-09-26 | 2023-11-03 | 恒超源洗净科技(深圳)有限公司 | Control method and system of ultrasonic cleaning device |
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