CN115094605A - Intelligent rinsing control system and rinsing control method for full-automatic washing machine - Google Patents
Intelligent rinsing control system and rinsing control method for full-automatic washing machine Download PDFInfo
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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
- D06F33/38—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of rinsing
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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
- D06F33/40—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry of centrifugal separation of water from the laundry
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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
-
- 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
- D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
- D06F34/14—Arrangements for detecting or measuring specific parameters
- D06F34/22—Condition of the washing liquid, e.g. turbidity
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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
- D06F2103/02—Characteristics of laundry or load
- D06F2103/04—Quantity, e.g. weight or variation of 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
- D06F2103/14—Supply, recirculation or draining of washing liquid
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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
- D06F2103/20—Washing liquid condition, e.g. turbidity
- D06F2103/22—Content of detergent or additives
-
- 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
- D06F2105/02—Water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B40/00—Technologies aiming at improving the efficiency of home appliances, e.g. induction cooking or efficient technologies for refrigerators, freezers or dish washers
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Abstract
The application provides an intelligent rinsing control system and an intelligent rinsing control method for a full-automatic washing machine, and belongs to the technical field of washing machines. The system comprises a process data real-time monitoring and management module, a detergent residue analysis and calculation module, an intelligent water injection amount prediction module and an intelligent cleaning process control module, so that the full-automatic washing machine can analyze, predict and control the iteration times of rinsing, the water injection amount, the cleaning time and the like in each iteration in real time based on relevant data of real-time monitoring in the rinsing stage, thereby ensuring the cleaning effect of rinsing and reducing the water and electricity consumption.
Description
Technical Field
The application relates to the technical field of washing machines, in particular to an intelligent rinsing control system and an intelligent rinsing control method for a full-automatic washing machine.
Background
The full-automatic washing machine which can complete the whole set of processes of washing, rinsing and dewatering by starting with one key enters thousands of households, and brings great convenience to the life of people. Rinsing is an intermediate stage of the laundry washing process, and the main task is to clean up residual sewage and detergent on the washed laundry. In the rinsing stage, the sewage after washing is usually discharged and dehydrated to remove the detergent on the clothes as much as possible; then, the process of iteration is carried out, wherein each iteration is filled with a certain amount of clean water, then the washing tub is rotated for a certain time (similar to the washing process, and is subsequently called a washing process), and finally the draining and dewatering are carried out.
The rinsing stage has a significant effect on the washing effect, water consumption and power consumption of the laundry. If the rinsing is insufficient, the clothes can be not cleaned completely by sewage or detergent, and then even people can feel uncomfortable (such as skin diseases or allergy phenomena) after wearing the clothes. If the rinsing intensity is too high, it may cause a great waste of water and electricity and result in a lengthy washing process. The rinsing intensity is determined by the number of iterations, and the amount of water supplied, the washing time period (the rotation speed of the washing tub), the dehydration time period, etc. for each iteration. Most of the existing washing machines provide a plurality of packages for the user to select, and although the rinsing intensity of different packages may be different, the rinsing intensity of the same package is substantially constant. For a user who often uses the same set of meal, when more detergent is put into the washing machine due to dirtiness clothes at a certain time, the washing machine cannot intelligently increase the rinsing strength, the situation of insufficient rinsing can occur, and the user does not know that a large amount of detergent remains after the clothes are washed; when only a small amount of detergent is put into the washing machine because the clothes are clean at a certain time, the washing machine cannot intelligently reduce the rinsing strength, and the condition of water and electricity waste can be caused.
Therefore, how to solve the above problems is a problem that needs to be solved at present.
Disclosure of Invention
The application provides an intelligent rinsing control system and a rinsing control method of a full-automatic washing machine, and aims to solve the problems.
In a first aspect, the present application provides an intelligent rinsing control system for a full-automatic washing machine, the system is applied to the full-automatic washing machine, the system includes:
the system comprises a process data real-time monitoring and managing module, a rinsing stage data real-time monitoring and managing module and a rinsing stage data real-time monitoring and managing module, wherein the process data real-time monitoring and managing module is used for monitoring and managing rinsing stage data in real time;
the detergent residual quantity analysis and calculation module is used for calculating the detergent residual quantity of the clothes in the barrel according to the rinsing stage data;
the intelligent water injection quantity prediction module is used for predicting the minimum value of water injection quantity required by the next iteration according to the detergent residue degree of the clothes in the drum when the current iteration of the rinsing stage is finished to obtain a water injection prediction value;
and the intelligent cleaning process control module is used for injecting clean water according to the water injection predicted value in the next iteration.
In a possible embodiment, the intelligent cleaning process control module is further configured to:
and continuously monitoring the concentration of the detergent in the sewage by using the process data real-time monitoring management module in the cleaning process, and stopping the current iterative cleaning process when the variation value of the concentration of the detergent in the sewage within a preset time period is smaller than a preset value.
In a possible embodiment, the method further comprises:
and the intelligent dehydration process control module is used for utilizing the real-time process data monitoring and managing module in the dehydration process, continuously monitoring the water yield of the dehydration process in unit time, and stopping the dehydration process when the water yield of the dehydration process in unit time is less than a preset threshold value.
In a possible embodiment, the rinsing phase data comprises at least the following data:
1) the total weight of the current substances in the washing barrel of the full-automatic washing machine;
2) the amount of clear water injected;
3) the water outlet speed in the dehydration process;
4) detergent concentration in the wastewater.
In a possible embodiment, the detergent residual quantity analysis and calculation module is specifically configured to:
receiving a first detergent concentration in the sewage before the start of a first iteration of a rinsing stage fed back by the process data real-time monitoring management module;
receiving the total amount of substances in a first barrel before water injection in the first iteration of the rinsing stage fed back by the process data real-time monitoring and management module;
receiving the total weight of substances in a second cylinder after full rinsing in the first iteration of the rinsing stage fed back by the process data real-time monitoring and management module and the concentration of a second detergent in the sewage at the moment;
receiving the total amount of substances in a third cylinder when the first iteration of the rinsing stage fed back by the process data real-time monitoring and management module finishes removing the sewage;
determining a dry weight of laundry in the wash tub based on the first detergent concentration, the total amount of contents of the first drum, the total weight of contents of the second drum, and the second detergent concentration;
determining a detergent retention level of the laundry in the drum based on the anhydrous weight of the laundry, the second detergent concentration and the total amount of substances in the third drum.
In a possible embodiment, the anhydrous weight of the laundry satisfies:
x＝(w1*c1-w2*c2)/(c1-c2)；
wherein x is the anhydrous weight of the laundry, w1 is the total amount of the first drum contents, w2 is the total weight of the second drum contents, c1 is the first detergent concentration, and c2 is the second detergent concentration.
In a possible embodiment, the degree of detergent retention of the laundry in the drum satisfies:
C＝(w3-x)*c2/x；
wherein C is a detergent residual degree of the laundry in the drum, w3 is a total weight of the substances in the third tub, x is a dry weight of the laundry, and C2 is the second detergent concentration.
In a possible embodiment, the water injection amount intelligent prediction module is specifically configured to:
obtaining a target detergent residue degree when washing of clothes is completed;
receiving the residual detergent amount of the clothes in the drum, the anhydrous weight of the clothes, the second detergent concentration and the total weight of the substances in the third barrel, which are fed back by the residual detergent amount analysis and calculation module;
and predicting the minimum value of the water injection quantity required by the next iteration according to the detergent residue of the clothes in the drum, the anhydrous weight of the clothes, the concentration of the second detergent and the total weight of the substances in the third drum to obtain a water injection predicted value.
In a possible embodiment, the waterflood prediction value satisfies:
H＝c2*(w3-x) 2 /(x*r4)-(w3-x)；
wherein H is the predicted value of water injection, and r4 is the target detergent residue.
In a possible embodiment, the method further comprises:
the rinsing result counting and reporting module is used for counting the iteration times, the water consumption and the electricity consumption of rinsing to generate a rinsing report; and the number of the first and second groups,
a comprehensive control module;
the comprehensive control module is respectively connected with the process data real-time monitoring and management module, the detergent residual quantity analysis and calculation module, the water injection quantity intelligent prediction module, the cleaning process intelligent control module, the dehydration process intelligent control module and the rinsing result statistical report module.
In a possible embodiment, the integrated control module is configured to:
the process data real-time monitoring management module is utilized to collect and provide relevant data according to the requirements of other modules;
utilizing the detergent residual degree analysis and calculation module to provide the anhydrous weight of the clothes and the detergent residual degree according to the requirements of other modules;
when finishing a rinsing iteration, judging whether the residual degree of the detergent reaches or is smaller than a target value, if so, finishing the rinsing stage, and finishing the washing of the whole clothes; otherwise, acquiring a water injection predicted value of the next iteration by using the intelligent water injection amount prediction module, and starting the next rinsing iteration after determining the water injection predicted value of the next iteration;
in the water injection process, real-time water injection quantity data of a management module is monitored in real time by using the process data, and the predicted water injection value is ensured to be reached;
controlling the end of each iterative cleaning process by using the intelligent cleaning process control module;
controlling the end of each dehydration process by using the dehydration process intelligent control module;
and finishing the rinsing report by utilizing the rinsing result statistical report module.
In a second aspect, the present application provides a smart rinse control method for a full-automatic washing machine, the method comprising: collecting rinsing stage data in real time; calculating a detergent residue level of the laundry in the drum according to the rinsing stage data; when the current iteration of the rinsing stage is finished, predicting the minimum value of the water injection amount required by the next iteration according to the detergent residue degree of the clothes in the drum to obtain a water injection predicted value; and injecting clean water at the next iteration according to the water injection predicted value.
The intelligent rinsing control system comprises a process data real-time monitoring management module, a detergent residue analysis and calculation module, a water injection quantity intelligent prediction module and a cleaning process intelligent control module, so that the full-automatic washing machine can analyze, predict and control the iteration times of rinsing, the water injection quantity, the cleaning time and the like in each iteration in real time on the basis of real-time monitoring relevant data in the rinsing stage, and ensure the cleaning effect of rinsing and reduce the water and electricity consumption.
Drawings
Fig. 1 is a schematic structural diagram of an electronic device according to a first embodiment of the present application;
fig. 2 is a schematic diagram of functional modules of an intelligent rinsing control system of a full-automatic washing machine according to a second embodiment of the present application;
FIG. 3 is a schematic diagram of functional modules of an intelligent rinsing control system of a fully automatic washing machine according to a second embodiment of the present application;
fig. 4 is a flowchart of an intelligent rinsing control method of a full-automatic washing machine according to a third embodiment of the present application.
Detailed Description
The technical solution in the present application is described below with reference to the accompanying drawings.
This application is intended to present various aspects, embodiments or features around a system that may include a number of devices, components, modules, and the like. It is to be understood and appreciated that the various systems may include additional devices, components, modules, etc. and/or may not include all of the devices, components, modules etc. discussed in connection with the figures. Furthermore, a combination of these schemes may also be used.
In addition, in the embodiments of the present application, words such as "exemplarily", "for example", etc. are used for indicating as examples, illustrations or explanations. Any embodiment or design described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, the term using examples is intended to present concepts in a concrete fashion. In addition, in the embodiments of the present application, the expression "and/or" may mean both, or may be either of both.
First embodiment
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and an exemplary electronic device 100 for implementing the intelligent rinse control system and method of a full-automatic washing machine according to the embodiment of the present application can be described in the present application through the schematic diagram shown in fig. 1.
As shown in FIG. 1, an electronic device 100 includes one or more processors 102, one or more memory devices 104, and the like, which are interconnected via a bus system and/or other type of connection mechanism (not shown). It should be noted that the components and structure of the electronic device 100 shown in fig. 1 are merely exemplary and not limiting, and the electronic device may have some of the components shown in fig. 1 and may also have other components and structures not shown in fig. 1, as desired.
The processor 102 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions.
It should be understood that the processor 102 in the embodiments of the present application may be a Central Processing Unit (CPU), and the processor may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 104 may include one or more computer program products that may include various forms of computer-readable storage media.
It should be appreciated that the storage 104 in embodiments of the present application may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM), which acts as external cache memory. By way of example but not limitation, many forms of Random Access Memory (RAM) are available, such as Static RAM (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synched SDRAM (SLDRAM), and direct bus RAM (DR RAM).
Where one or more computer program instructions may be stored on the computer-readable storage medium and executed by processor 102 to implement the functions of the embodiments of the application (implemented by the processor) described below and/or other desired functions. Various applications and various data, such as various data used and/or generated by the applications, may also be stored in the computer-readable storage medium.
Second embodiment:
in order to solve the above problems, it is proposed to determine whether to perform the next iteration of rinsing based on the turbidity of the water detected by the sensor during the dehydration, and it is also proposed to determine the number of rinsing iterations based on the washing time, the water filling time, etc. corresponding to the weight of the laundry. However, these methods have their own limitations, and the intelligent control of the water injection amount, the washing time, the dehydration time, and the like in each iteration has not been fully considered. Therefore, in order to ensure the cleaning effect of rinsing as much as possible and reduce the water and electricity consumption as much as possible, the application provides an intelligent rinsing control system of a full-automatic washing machine. Specifically, referring to fig. 2, the intelligent rinsing control system 200 of the full-automatic washing machine is applied to the full-automatic washing machine, and the intelligent rinsing control system 200 of the full-automatic washing machine includes: a process data real-time monitoring management module 210, a detergent residual quantity analyzing and calculating module 220, a water injection quantity intelligent prediction module 230 and a cleaning process intelligent control module 240.
The process data real-time monitoring and managing module 210 is configured to perform real-time monitoring and managing on the rinsing stage data.
The detergent residue analyzing and calculating module 220 is used for calculating the detergent residue of the clothes in the drum according to the rinsing stage data.
The intelligent water injection amount prediction module 230 is configured to predict a minimum value of water injection amount required by next iteration according to detergent residue of the laundry in the drum when the current iteration of the rinsing stage is finished, so as to obtain a predicted water injection value.
And the intelligent cleaning process control module 240 is used for injecting clean water according to the water injection predicted value in the next iteration.
Optionally, the intelligent cleaning process control module 240 is further configured to: the process data real-time monitoring management module 210 is utilized to continuously monitor the concentration of the detergent in the sewage during the cleaning process, and when the variation value of the concentration of the detergent in the sewage within a preset time period is smaller than a preset value, the current iterative cleaning process is stopped.
The preset time period may be set according to actual requirements, and is not specifically limited herein.
Alternatively, the preset value may be zero, or may be 1%, 0.1%, or the like, and is not particularly limited herein.
In a possible embodiment, the rinsing phase data comprises at least the following data: 1) the total weight of the current substances in the washing barrel of the full-automatic washing machine; 2) the amount of clear water injected; 3) the water outlet speed in the dehydration process; 4) detergent concentration in the wastewater.
Alternatively, the total weight of the current substance in the tub of the fully automatic washing machine may be obtained by a sensor associated with gravity sensing.
Alternatively, the amount of fresh water injected can be obtained by the change in the total weight of the substances in the cartridge before and during the injection of fresh water, and it is not advisable to calculate this amount by the length of time the filling nozzle is opened, since the water flow rate of the filling may not be stable (for example, when water is used elsewhere in the home, the water flow rate of the filling nozzle may become slow).
Alternatively, the water discharge speed of the dehydration process may detect the water flow speed of the drain part using a sensor.
Alternatively, the detergent concentration in the sewage may be obtained by a turbidity-related sensor, a polarized light sensor, or the like, or may be obtained by measuring the density (mass per unit volume) of the sewage and comparing the difference in density between the sewage and the clean water.
Wherein the detergent concentration in the wastewater represents the weight of the detergent per unit mass of water.
It is to be understood that the above description is intended to be illustrative, and not restrictive.
In a possible embodiment, the detergent residue analysis and calculation module 220 is specifically configured to: receiving a first detergent concentration in the wastewater before a first iteration of the rinsing stage fed back by the process data real-time monitoring management module 210 starts; receiving the total amount of the substances in the first cylinder immediately before water injection in the first iteration of the rinsing stage fed back by the process data real-time monitoring and management module 210; receiving the total weight of the substances in the second barrel after full rinsing of the first iteration of the rinsing stage and the second detergent concentration in the sewage at the moment, which are fed back by the process data real-time monitoring management module 210; receiving the total amount of the substances in the third cylinder at the end of the first iteration of the rinsing stage after the sewage is removed (namely, the drainage and dehydration are finished) fed back by the real-time monitoring and management module 210 of the process data; determining a dry weight of laundry in the tub based on the first detergent concentration, the total amount of material in the first drum, the total weight of material in the second drum, and the second detergent concentration; determining a detergent retention of the laundry in the drum based on the anhydrous weight of the laundry, the second detergent concentration and the total amount of substances in the third drum.
In one possible embodiment, the anhydrous weight of the garment satisfies:
x＝(w1*c1-w2*c2)/(c1-c2)；
wherein x is the anhydrous weight of the laundry, w1 is the total amount of the contents of the first cartridge, w2 is the total weight of the contents of the second cartridge, c1 is the first detergent concentration, and c2 is the second detergent concentration.
Optionally, the detergent residual degree of the laundry in the drum satisfies:
C＝(w3-x)*c2/x；
wherein C is the detergent residual degree of the laundry in the drum, w3 is the total weight of the substances in the third tub, x is the anhydrous weight of the laundry, and C2 is the second detergent concentration. For example, when the weight of the dry laundry is 1kg and the weight of the residual detergent is 2g, the detergent residual degree of the laundry in the drum is 2 g/kg.
Some washing machines use a sensor associated with gravity sensing to determine the weight of the laundry as the anhydrous weight before the washing process begins. This approach has significant limitations. For example, if a user has a dirty part of the laundry, which is difficult to clean, the washing machine is usually manually cleaned before using the washing machine, so that much water is already present in the laundry put into the washing machine, and the anhydrous weight of the laundry directly obtained by the gravity sensing related sensor is obviously larger than an actual value.
Therefore, the calculation accuracy of the anhydrous weight of the clothes can be obviously improved by utilizing the calculation mode through the detergent residual degree analysis and calculation module in the application, so that the anhydrous weight of the clothes is approximately equal to an actual value.
In one possible embodiment, the plurality of iteratively calculated anhydrous weights of the clothes can be comprehensively utilized to further improve the accuracy of the anhydrous weight calculation of the clothes.
For example, when w1 is 2.5kg, c1 is 0.8g/kg, w2 is 6kg, and c2 is 0.1g/kg, the anhydrous weight of the laundry can be determined to be 2 kg.
In a possible embodiment, the water injection amount intelligent prediction module 230 is specifically configured to: obtaining a target detergent residue degree when the washing of the clothes is finished; receiving the residual detergent amount analysis and calculation module 220 fed back by the residual detergent amount analysis and calculation module, the residual detergent amount of the laundry in the drum, the anhydrous weight of the laundry, the second detergent concentration and the total weight of the substances in the third tub; and predicting the minimum value of the water injection quantity required by the next iteration according to the detergent residue of the clothes in the drum, the anhydrous weight of the clothes, the concentration of the second detergent and the total weight of the substances in the third drum to obtain a water injection predicted value.
It should be noted that the target detergent residue is a threshold value, which is determined by the user's laundry package or parameters of the washing machine. Here, the number of the carbon atoms is not particularly limited.
Optionally, the water injection prediction value satisfies:
H＝c2*(w3-x) 2 /(x*r4)-(w3-x)；
wherein H is the predicted value of water injection, and r4 is the target detergent residue.
For example, assuming that the anhydrous weight x of the laundry is 2kg, the second detergent concentration c2 is 2g/kg, the total weight w3 of the substances in the third tub is 2.5kg, and the target detergent residual r4 is 0.1g/kg, it can be calculated according to the above formula that at least 2kg of clean water is injected in the next iteration.
It should be understood that when the water injection prediction value is less than the minimum threshold value determined by the washing machine system, the water injection prediction value at the moment is equal to the minimum threshold value determined by the washing machine system; and when the water injection predicted value is greater than the highest threshold value determined by the washing machine system, the water injection predicted value is equal to the highest threshold value at the moment.
In a possible embodiment, as shown in fig. 3, the intelligent rinsing control system 200 of the full automatic washing machine further includes: the dehydration process intelligent control module 250.
The intelligent dehydration process control module 250 is configured to monitor the management module 210 in real time by using the process data during the dehydration process, continuously monitor the water yield of the dehydration process, and stop the dehydration process when the water yield reaches a value less than a preset threshold value in unit time.
Alternatively, the setting of the preset threshold may be set according to actual requirements, and is not particularly limited herein.
In a possible embodiment, as shown in fig. 3, the intelligent rinsing control system 200 of the fully automatic washing machine further comprises: rinse result statistics reporting module 260.
The rinsing result statistic report module 260 is configured to count the number of iterations of rinsing, the amount of water used, and the amount of electricity used, and generate a rinsing report.
Alternatively, the rinsing result statistic reporting module 260 calculates and records the anhydrous weight of the laundry, the detergent residue, and the moisture of the laundry when the rinsing is completed (including the completion of the final dehydration, i.e., the completion of the entire washing process of the laundry). The degree of wetness can be expressed as the weight of water on a unit mass of the garment, and can be calculated from the weight of the garment without water and the total weight of the material in the drum at the completion of the garment cleaning process. The module may report the above data to the user as needed.
In a possible embodiment, as shown in fig. 3, the intelligent rinsing control system 200 of the full automatic washing machine further includes: an integrated control module 270.
The integrated control module 270 is connected to the process data real-time monitoring and managing module 210, the detergent residue analyzing and calculating module 220, the intelligent water injection amount predicting module 230, the intelligent cleaning process control module 240, the intelligent dehydration process control module 250, and the rinsing result statistical reporting module 260.
Optionally, the integrated control module 270 is configured to: using the process data real-time monitoring management module 210 to collect and provide relevant data according to the requirements of other modules (such as the detergent residue analysis and calculation module 220, the intelligent water injection amount prediction module 230, the intelligent cleaning process control module 240, the intelligent dehydration process control module 250 and/or the rinsing result statistical report module 260); using the detergent residual degree analyzing and calculating module 220 to provide the anhydrous weight of the clothes and the detergent residual degree according to the requirements of other modules; when finishing a rinsing iteration, judging whether the residual degree of the detergent reaches or is smaller than a target value, if so, finishing a rinsing stage, and finishing the washing of the whole clothes; otherwise, the water injection amount intelligent prediction module 230 is utilized to obtain a water injection predicted value of the next iteration, and after the water injection predicted value of the next iteration is determined, the next rinsing iteration is started; in the water injection process, the water injection amount real-time data of the process data real-time monitoring management module 210 is utilized to ensure that the water injection predicted value is reached; controlling the end of each iterative cleaning process by using the intelligent cleaning process control module 240; controlling the end of each dehydration process by using the intelligent dehydration process control module 250; and finishing the rinsing report by utilizing the rinsing result statistical report module 260.
The third embodiment:
referring to a flow chart of an intelligent rinsing control method of a full-automatic washing machine shown in fig. 4, the method specifically comprises the following steps:
step S301, collecting rinsing stage data in real time;
step S302, calculating the detergent residue degree of the clothes in the drum according to the rinsing stage data;
step S303, predicting the minimum value of the water injection quantity required by the next iteration according to the detergent residue degree of the clothes in the drum when the current iteration of the rinsing stage is finished to obtain a water injection predicted value;
and S304, injecting clean water in the next iteration according to the water injection predicted value.
That is, the amount of fresh water injected at the next iteration is equal to the water injection prediction.
It should be understood that when the water injection prediction value is smaller than the minimum threshold value determined by the washing machine system, the water injection prediction value at the moment is equal to the minimum threshold value determined by the washing machine system, namely the quantity of injected fresh water is equal to the minimum threshold value at the moment; and when the water injection predicted value is larger than the highest threshold value determined by the washing machine system, the water injection predicted value is equal to the highest threshold value at the moment, namely the injected clean water amount is equal to the highest threshold value at the moment.
It should be understood that the above-mentioned minimum threshold and maximum threshold are preset threshold values of the washing machine, and specific values thereof are set according to specifications of the washing machine, and are not specifically limited herein.
In a possible embodiment, after step S304, the method further includes: and continuously monitoring the concentration of the detergent in the sewage by using a process data real-time monitoring management module in the cleaning process, and stopping the current iterative cleaning process when the variation value of the concentration of the detergent in the sewage in a preset time period is less than a preset value.
In a possible embodiment, the method further comprises: and in the dehydration process, the process data real-time monitoring and management module is utilized to continuously monitor the water yield of the dehydration process in unit time, and when the water yield of the dehydration process in unit time is less than a preset threshold value, the dehydration process is stopped.
In a possible embodiment, the method further comprises: the intelligent rinsing control method of the full-automatic washing machine further comprises the following steps: and (4) counting the iteration times, the water consumption and the electricity consumption of rinsing to generate a rinsing report.
It should be noted that, the specific implementation process of the intelligent rinsing control method for the full-automatic washing machine may refer to the description of the intelligent rinsing control system for the full-automatic washing machine, and thus, the detailed description is omitted here.
Further, the present embodiment also provides a computer readable storage medium, on which a computer program is stored, and when the computer program is executed by a processing device, the computer program performs the steps of the intelligent rinsing control method of the full-automatic washing machine provided by the above method embodiments.
The computer program product of the intelligent rinsing control system and method for the full-automatic washing machine provided by the embodiment of the application comprises a computer readable storage medium storing program codes, wherein instructions included in the program codes can be used for executing the method described in the previous method embodiment, and specific implementation can refer to the method embodiment, and is not repeated herein.
The above embodiments may be implemented in whole or in part by software, hardware (e.g., circuitry), firmware, or any combination thereof. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. The procedures or functions according to the embodiments of the present application are generated in whole or in part when the computer instructions or the computer program are loaded or executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by wire (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, data center, etc., that contains one or more collections of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
It should be understood that the term "and/or" herein is merely one type of association relationship that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists singly, A and B exist simultaneously, and B exists singly, wherein A and B can be singular or plural. In addition, the "/" in this document generally indicates that the former and latter associated objects are in an "or" relationship, but may also indicate an "and/or" relationship, which may be understood with particular reference to the former and latter text.
In the present application, "at least one" means one or more, "a plurality" means two or more. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c can be single or multiple.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the particular application of the solution and design constraints. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus, and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and in actual implementation, there may be other divisions, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may also be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (12)
1. The utility model provides a full-automatic washing machine intelligence rinsing control system which characterized in that, the system is applied to full-automatic washing machine, the system includes:
the system comprises a process data real-time monitoring and managing module, a rinsing stage data real-time monitoring and managing module and a rinsing stage data real-time monitoring and managing module, wherein the process data real-time monitoring and managing module is used for monitoring and managing rinsing stage data in real time;
the detergent residual quantity analysis and calculation module is used for calculating the detergent residual quantity of the clothes in the barrel according to the rinsing stage data;
the intelligent water injection quantity prediction module is used for calculating the minimum value of water injection quantity required by the next iteration according to the residual quantity of the detergent of the clothes in the barrel when the current iteration of the rinsing stage is finished, so as to obtain a predicted water injection value;
and the intelligent cleaning process control module is used for injecting clean water according to the water injection predicted value in the next iteration.
2. The system of claim 1, wherein the cleaning process intelligent control module is further configured to:
and continuously monitoring the concentration of the detergent in the sewage by using the process data real-time monitoring management module in the cleaning process, and stopping the current iterative cleaning process when the variation value of the concentration of the detergent in the sewage within a preset time period is smaller than a preset value.
3. The system of claim 1, further comprising:
and the intelligent dehydration process control module is used for utilizing the real-time process data monitoring and managing module in the dehydration process, continuously monitoring the water yield of the dehydration process in unit time, and stopping the dehydration process when the water yield of the dehydration process in unit time is less than a preset threshold value.
4. The system of claim 1, wherein the rinse phase data comprises at least the following data:
1) the total weight of the current substances in the washing barrel of the full-automatic washing machine;
2) the amount of clear water injected;
3) the water outlet speed in the dehydration process;
4) detergent concentration in the wastewater.
5. The system of claim 4, wherein the detergent residual quantity analysis and calculation module is specifically configured to:
receiving a first detergent concentration in the sewage before the start of the first iteration of the rinsing stage fed back by the process data real-time monitoring and management module;
receiving the total amount of substances in a first cylinder of a first iteration of the rinsing stage, which is fed back by the process data real-time monitoring and management module, just before water injection;
receiving the total weight of substances in the second cylinder after full rinsing of the first iteration of the rinsing stage fed back by the process data real-time monitoring and management module and the concentration of a second detergent in the sewage at the moment;
receiving the total amount of substances in a third cylinder when the first iteration of the rinsing stage fed back by the process data real-time monitoring and management module finishes removing the sewage;
determining a dry weight of laundry in the tub based on the first detergent concentration, the total amount of material in the first drum, the total weight of material in the second drum, and the second detergent concentration;
determining a detergent retention of the laundry in the drum based on the anhydrous weight of the laundry, the second detergent concentration and the total amount of substances in the third drum.
6. The system of claim 5, wherein the anhydrous weight of the laundry satisfies:
x＝(w1*c1-w2*c2)/(c1-c2)；
wherein x is the anhydrous weight of the laundry, w1 is the total amount of the contents of the first cartridge, w2 is the total weight of the contents of the second cartridge, c1 is the first detergent concentration, and c2 is the second detergent concentration.
7. A system according to claim 6, wherein the detergent residual level of the laundry in the drum satisfies:
C＝(w3-x)*c2/x；
wherein C is a detergent residual degree of the laundry in the drum, w3 is a total weight of the substances in the third tub, x is a dry weight of the laundry, and C2 is the second detergent concentration.
8. The system of claim 7, wherein the water injection amount intelligent prediction module is specifically configured to:
obtaining a target detergent residue degree when the washing of the clothes is finished;
receiving the residual detergent amount of the clothes in the drum, the anhydrous weight of the clothes, the second detergent concentration and the total weight of the substances in the third barrel, which are fed back by the residual detergent amount analysis and calculation module;
and calculating the minimum value of the water injection amount required by the next iteration according to the target detergent residual degree, the detergent residual degree of the clothes in the barrel, the anhydrous weight of the clothes, the second detergent concentration and the total weight of the substances in the third barrel to obtain a water injection predicted value.
9. The system of claim 8, wherein the waterflood prediction value satisfies:
H＝c2*(w3-x) 2 /(x*r4)-(w3-x)；
wherein H is the predicted value of water injection, and r4 is the target detergent residue.
10. The system of any one of claims 1-9, further comprising:
the rinsing result counting and reporting module is used for counting the iteration times, the water consumption and the electricity consumption of rinsing to generate a rinsing report; and the number of the first and second groups,
a comprehensive control module;
the comprehensive control module is respectively connected with the process data real-time monitoring and management module, the detergent residual quantity analysis and calculation module, the water injection quantity intelligent prediction module, the cleaning process intelligent control module, the dehydration process intelligent control module and the rinsing result statistical report module.
11. The system of claim 10, wherein the integrated control module is configured to:
the process data real-time monitoring management module is utilized to collect and provide relevant data according to the requirements of other modules;
utilizing the detergent residual degree analysis and calculation module to provide the anhydrous weight of the clothes and the detergent residual degree according to the requirements of other modules;
when finishing a rinsing iteration, judging whether the residual degree of the detergent reaches or is smaller than the target residual degree of the detergent, if so, finishing a rinsing stage, and finishing the cleaning of the whole clothes; otherwise, acquiring a water injection predicted value of the next iteration by using the intelligent water injection amount prediction module, and starting the next rinsing iteration after determining the water injection predicted value of the next iteration;
in the water injection process, real-time water injection quantity data of a management module is monitored in real time by using the process data, and the predicted water injection value is ensured to be reached;
controlling the end of each iterative cleaning process by using the intelligent cleaning process control module;
controlling the end of each dehydration process by using the dehydration process intelligent control module;
and finishing the rinsing report by utilizing the rinsing result statistical report module.
12. An intelligent rinsing control method of a full-automatic washing machine is characterized by comprising the following steps:
collecting rinsing stage data in real time;
calculating the detergent residue of the clothes in the drum according to the rinsing stage data;
when the current iteration of the rinsing stage is finished, predicting the minimum value of the water injection amount required by the next iteration according to the detergent residue degree of the clothes in the drum to obtain a water injection predicted value;
and injecting clean water at the next iteration according to the water injection predicted value.
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