CN110367898B - Method for determining cleaning mode and dish-washing machine - Google Patents
Method for determining cleaning mode and dish-washing machine Download PDFInfo
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- CN110367898B CN110367898B CN201910703705.2A CN201910703705A CN110367898B CN 110367898 B CN110367898 B CN 110367898B CN 201910703705 A CN201910703705 A CN 201910703705A CN 110367898 B CN110367898 B CN 110367898B
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- 238000004140 cleaning Methods 0.000 title claims abstract description 64
- 238000000034 method Methods 0.000 title claims abstract description 49
- 238000004851 dishwashing Methods 0.000 title abstract description 13
- 238000005406 washing Methods 0.000 claims abstract description 84
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- 238000004422 calculation algorithm Methods 0.000 claims abstract description 18
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- 238000004590 computer program Methods 0.000 claims description 14
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- 238000004364 calculation method Methods 0.000 claims description 5
- 239000003517 fume Substances 0.000 claims description 5
- 238000004806 packaging method and process Methods 0.000 claims description 5
- 238000012546 transfer Methods 0.000 claims description 3
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- 230000008569 process Effects 0.000 description 9
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- 230000001965 increasing effect Effects 0.000 description 3
- 238000011109 contamination Methods 0.000 description 2
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/0018—Controlling processes, i.e. processes to control the operation of the machine characterised by the purpose or target of the control
- A47L15/0021—Regulation of operational steps within the washing processes, e.g. optimisation or improvement of operational steps depending from the detergent nature or from the condition of the crockery
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47L—DOMESTIC WASHING OR CLEANING; SUCTION CLEANERS IN GENERAL
- A47L15/00—Washing or rinsing machines for crockery or tableware
- A47L15/42—Details
- A47L15/4297—Arrangements for detecting or measuring the condition of the washing water, e.g. turbidity
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Abstract
The invention is suitable for the technical field of intelligent household appliances, and provides a method for determining a cleaning mode and a dish-washing machine, wherein the method comprises the following steps: if receiving a washing starting instruction, receiving a turbidity parameter which is fed back by the associated household appliance and is related to the tableware to be washed; importing the turbidity parameters into a preset turbidity grade conversion algorithm, and calculating the turbidity grade corresponding to the tableware to be cleaned; selecting a washing mode associated with the turbidity level, and performing a washing operation on the dishes to be washed according to the washing mode. According to the invention, the turbidity parameter fed back by the associated household appliance is received, and the cleaning mode related to the turbidity parameter is selected, so that the purpose of automatically selecting the cleaning mode is realized, manual acquisition by a user is not needed, the user operation is reduced, the convenience of the operation of the dishwasher is improved, and the accuracy of the cleaning mode can be improved.
Description
Technical Field
The invention belongs to the technical field of intelligent household appliances, and particularly relates to a method for determining a cleaning mode and a dish washing machine.
Background
With the continuous development of intellectualization and automation, a dishwasher as one of intelligent household appliances has gradually entered into thousands of households. The dishwasher can provide convenient and comfortable tableware washing experience for users, and the users can select washing modes corresponding to different types of tableware to be washed in the washing process. The existing method for determining the cleaning mode mainly executes the default cleaning mode through manual setting of a user or system fixation, and cannot automatically adjust according to the dirt degree of the tableware to be cleaned, so that the operation steps of the user are increased, and the cleaning efficiency is reduced.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method for determining a washing mode and a dishwasher, so as to solve the problems that the existing method for determining a washing mode is mainly configured manually by a user or a default washing mode is implemented by a system, and cannot be automatically adjusted according to the dirt degree of dishes to be washed, thereby increasing the operation steps of the user and reducing the washing efficiency.
A first aspect of an embodiment of the present invention provides a method for determining a cleaning mode, including:
if receiving a washing starting instruction, receiving a turbidity parameter which is fed back by the associated household appliance and is related to the tableware to be washed;
importing the turbidity parameters into a preset turbidity grade conversion algorithm, and calculating the turbidity grade corresponding to the tableware to be cleaned;
selecting a washing mode associated with the turbidity level, and performing a washing operation on the dishes to be washed according to the washing mode.
A second aspect of an embodiment of the present invention provides a dishwasher, including:
the turbidity parameter acquisition unit is used for receiving turbidity parameters which are fed back by the associated household appliances and are related to the tableware to be cleaned if receiving a cleaning starting instruction;
the turbidity level calculation unit is used for importing the turbidity parameters into a preset turbidity level conversion algorithm and calculating the turbidity level corresponding to the tableware to be cleaned;
and the washing mode determining unit is used for selecting the washing mode associated with the turbidity level and executing washing operation on the tableware to be washed according to the washing mode.
A third aspect of embodiments of the present invention provides a dishwasher comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the first aspect when executing the computer program.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, performs the steps of the first aspect.
The method for determining the washing mode and the dish washing machine provided by the embodiment of the invention have the following beneficial effects:
embodiments of the present invention, prior to performing a washing operation, may feed back turbidity parameters about the dishes to be washed through other intelligent appliances associated with the dishwasher, because the tableware to be cleaned can be used for containing food after being taken out of the dishwasher and before being placed in the dishwasher, the type of the food which is contained determines the turbidity of the tableware to be cleaned, therefore, the information related to the use of the tableware to be cleaned can be fed back through other intelligent household appliances, the fed back information is identified as the turbidity parameter, calculating the turbidity level of the tableware to be cleaned by the turbidity parameter, selecting a cleaning mode matched with the turbidity level, and the washing operation is carried out on the tableware to be washed based on the washing mode, so that the aim of automatically selecting the washing mode is fulfilled, manual acquisition by a user is not needed, the user operation is reduced, the convenience of the operation of the dish washing machine is improved, and the accuracy of the washing mode can also be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a flowchart of an implementation of a method for determining a cleaning mode according to a first embodiment of the present invention;
fig. 2 is a flowchart of a specific implementation of a method S101 for determining a cleaning mode according to a second embodiment of the present invention;
fig. 3 is a flowchart illustrating a specific implementation of a cleaning mode determining method S102 according to a third embodiment of the present invention;
fig. 4 is a flowchart of a specific implementation of a method S101 for determining a cleaning mode according to a fourth embodiment of the present invention;
fig. 5 is a flowchart illustrating an implementation of the method for determining a cleaning mode S103 according to a fifth embodiment of the present invention;
FIG. 6 is a block diagram illustrating a dishwasher according to an embodiment of the present invention;
fig. 7 is a schematic view of a dishwasher according to another embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Before the embodiment of the invention executes the cleaning operation, other intelligent household appliances related to the dish washer can feed back the turbidity parameter of the tableware to be cleaned, the tableware to be cleaned can be used for containing food after being taken out of the dish washer and before being placed into the dish washer, and the type of the food contained in the tableware to be cleaned determines the turbidity of the tableware to be cleaned, so that the relevant information in the using process of the tableware to be cleaned can be fed back by other intelligent household appliances, the relevant information fed back is identified as the turbidity parameter, the turbidity grade of the tableware to be cleaned is calculated by the turbidity parameter, the cleaning mode matched with the turbidity grade is selected, the cleaning operation is executed on the tableware to be cleaned based on the cleaning mode, the aim of automatically selecting the cleaning mode is realized, the existing method for determining the cleaning mode is solved, and the default cleaning mode is mainly executed by manual setting of a user or fixing of a system, can not automatically adjust according to the dirty degree of the tableware to be cleaned, thereby increasing the operation steps of users and reducing the cleaning efficiency.
In the embodiment of the invention, the execution subject of the process is a dishwasher. The dishwasher is provided with a data processing module, the data processing module is used for processing information fed back by each sensor or data acquisition device and automatically selecting a cleaning mode, and the data processing module can be a microprocessor such as a single chip microcomputer. Fig. 1 shows a flowchart of an implementation of the method for determining a cleaning mode according to the first embodiment of the present invention, which is detailed as follows:
in S101, when the washing start instruction is received, a turbidity parameter of the dishes to be washed, which is fed back from the home appliance, is received.
In this embodiment, the dishwasher is configured with a communication module, and may perform data interaction with other intelligent appliances in the current scene, that is, the above-mentioned associated appliances, through the communication module. Specifically, the communication module can be a wireless communication module, a wireless Access Point (AP) can be configured in a current installation scene, a wireless local area network signal is transmitted through the AP, and the dishwasher can be accessed into the wireless local area network signal through the built-in wireless communication module, so that data interaction is performed with other intelligent household appliances accessed into the wireless local area network. Of course, the dishwasher may also be configured with a wired communication module, in which case the dishwasher may be connected with the communication module of the associated appliance through a network cable, thereby performing data interaction through the wired communication module. Based on this, can constitute intelligent household electrical appliances system between dish washer and the associated household electrical appliances, can feed back the user parameter of self gathering between the intelligent household electrical appliances of difference to realize that each intelligent household electrical appliance of automatic control moves.
In this embodiment, when the user needs to wash the dishes, the user may send a washing start instruction to the dishwasher through the control panel of the dishwasher. Optionally, the dishwasher may further be provided with a dishwasher trigger condition, for example, if the stored quantity of the tableware is detected to be greater than a preset starting threshold, a washing starting instruction is initiated to trigger the tableware washing process; the dishwasher can also be provided with a cleaning trigger period, and if the current moment is detected to reach the cleaning trigger period, a cleaning starting instruction is initiated to realize the purpose of periodically cleaning the stored tableware.
In this embodiment, the dishwasher may be provided with an associated household appliance list, where the associated household appliance list includes at least one associated household appliance, the dishwasher may send a parameter feedback request to the associated household appliance after receiving the washing start instruction, and the associated household appliance feeds back the acquired turbidity parameter of the dishware to be washed to the dishwasher after receiving the parameter feedback request.
Optionally, in this embodiment, the associated household appliance may be an intelligent pendant lamp installed in a dining table area, the intelligent pendant lamp may obtain an environment image of the user in a dining process, and feed the environment image back to the dishwasher, and the dishwasher may identify food contained in each tableware to be cleaned, and obtain a turbidity parameter based on the food obtained by the identification. Specifically, the way of determining the turbidity parameter based on the food contained may be: the intelligent pendant lamp can identify the food type according to the outline information of each shot object in the image, shoot the food residue degree on each tableware to be washed after the user finishes eating, and obtain the turbidity parameter based on the food type and the food residue degree.
Optionally, in this embodiment, the number of the associated household appliances may be multiple, in this case, the dishwasher may send a parameter obtaining instruction to the multiple associated household appliances in a broadcast manner, after receiving the broadcast instruction, each associated household appliance may feed back the locally acquired turbidity parameter to the dishwasher, and the turbidity parameter carries an equipment identifier of the associated household appliance, so that the dishwasher may analyze the turbidity parameter through an analysis algorithm matched with the equipment type of the associated household appliance.
In S102, the turbidity parameter is led into a preset turbidity grade conversion algorithm, and the turbidity grade corresponding to the tableware to be washed is calculated.
In this embodiment, the dishwasher needs to convert the received turbidity parameter to obtain a turbidity level that the dishwasher can use directly. Based on the turbidity parameter, the turbidity parameter is led into a preset turbidity grade conversion algorithm, so that the calculated turbidity grade corresponding to the tableware to be washed is obtained.
Optionally, in this embodiment, the turbidity level conversion algorithms corresponding to different types of associated home appliances may be different, and in this case, the dishwasher may identify the device type of the associated home appliance, extract the turbidity level conversion algorithm associated with the device type from the database, import the obtained turbidity parameter into the turbidity level conversion algorithm, and calculate the obtained turbidity level.
Optionally, in this embodiment, if the number of the associated household appliances sending the turbidity parameter is multiple, in this case, the dishwasher may extract a turbidity level conversion algorithm matching each associated household appliance, calculate a turbidity level corresponding to each turbidity parameter, obtain a turbidity level corresponding to the parameter to be cleaned based on the plurality of calculated turbidity levels, for example, calculate an average value of the turbidity levels, or perform weighted summation according to the weighted weights of each associated household appliance, and identify the calculated weighted summation value as the turbidity level corresponding to the tableware to be cleaned.
In S103, a washing mode associated with the turbidity level is selected, and a washing operation is performed on the dishes to be washed according to the washing mode.
In this embodiment, the dishwasher is provided with a corresponding relation table of turbidity levels and washing modes, and after calculating the turbidity level corresponding to the dishes to be washed, the corresponding relation table can be queried to determine the washing mode to be executed.
In this embodiment, the cleaning mode includes a cleaning process, such as a cleaning script, including a plurality of cleaning links and a triggering sequence of each cleaning link. The dish washing machine can sequentially execute each cleaning link according to the cleaning flow, thereby realizing the purpose of cleaning the tableware to be cleaned. Optionally, the washing pattern may also include a cyclic sequence of washing sequences to be performed, and a dosage value of detergent to be added during the washing process.
It can be seen from the above that, the method for determining a washing mode according to the embodiment of the present invention can feed back the turbidity parameter of the dishes to be washed through other intelligent appliances associated with the dishwasher before performing the washing operation, and since the dishes to be washed can be used for holding food after being taken out of the dishwasher and before being placed in the dishwasher, and the turbidity of the dishes to be washed is determined according to the type of the food held therein, the method can feed back information related to the use of the dishes to be washed through other intelligent appliances, identify the fed-back information as the turbidity parameter, calculate the turbidity level of the dishes to be washed through the turbidity parameter, select the washing mode matched with the turbidity level, and perform the washing operation on the dishes to be washed based on the washing mode, thereby achieving the purpose of automatically selecting the washing mode without manual acquisition by the user, and reducing the user operation, the convenience of the operation of the dish washing machine is improved, and the accuracy of the washing mode can be improved.
Fig. 2 shows a flowchart of a specific implementation of the method S101 for determining a cleaning mode according to the second embodiment of the present invention. Referring to fig. 2, with respect to the embodiment shown in fig. 1, a method S101 for determining a cleaning mode provided in this embodiment includes: s1011 to S1013 are specifically described as follows:
further, the associated household appliance comprises an intelligent range hood, and if a washing starting instruction is received, the turbidity parameter of the tableware to be washed fed back by the associated household appliance is received, and the method comprises the following steps:
in S1011, if it is detected that the intelligent range hood is turned on, an initial parameter acquisition instruction is sent to the intelligent range hood, so that the intelligent range hood records an initial oil smoke value of an oil receiving box built in at the time when the initial parameter acquisition instruction is received, and an initial time value at the time when the initial parameter acquisition instruction is received.
In this embodiment, the household appliance associated with the dishwasher includes an intelligent range hood, and the intelligent range hood establishes a communication link with the dishwasher through a communication interface and performs data interaction with the dishwasher through the communication link. After the intelligence lampblack absorber was opened, then it needs to be cooked to show that there is food, and the food after cooking needs to hold through the tableware to can estimate the turbidity parameter of tableware according to the oil smoke variation volume of the process of cooking.
Optionally, in this embodiment, except for detecting that the intelligent range hood is turned on, whether the intelligent range hood is turned on may be detected to determine whether the step S1011 is required to be started. Dishwasher can detect whether the cabinet door is opened, and the inductive value through sensor feedback or generate trigger signal when the cabinet door is opened for example the cabinet door is provided with the sensor to dishwasher can detect cabinet door open and close state. If the intelligent range hood is detected to be opened, the tableware stored in the dish washing machine is taken out by a user, and the user can place food through the taken-out tableware. The food needs to be cooked, oil smoke is generated in the cooking process, so that the oil smoke quantity is related to the quantity of the food and the residual dirt degree placed on the tableware, and the turbidity parameter of the tableware to be cleaned can be determined by receiving the operation parameter fed back by the range hood.
In this embodiment, the oil receiving box of the intelligent range hood may be provided with a sensor for counting the amount of oil smoke, for example, a magnetic float is provided in the oil smoke box, and the amount of oil smoke in the oil smoke box is determined by detecting the height of the magnetic float; or the intelligent range hood is provided with a camera module, and the camera module can be used for acquiring the scale value of the oil smoke stored in the oil receiving box and identifying the oil smoke amount in the oil smoke box. Based on the above, after the intelligent range hood receives the initial parameter acquisition instruction, the initial oil smoke value in the oil receiving box can be recorded through the acquisition mode, the initial time value at the moment when the initial parameter acquisition instruction is received is obtained, and the starting time of the intelligent range hood can be determined through recording time information.
In S1012, if a cleaning start instruction is received, a parameter feedback instruction is sent to the intelligent range hood, so that the intelligent range hood obtains a current oil smoke value of the oil receiving box at the time of receiving the parameter feedback instruction, obtains an oil smoke variation amount according to a difference between an initial oil smoke value and the current oil smoke value, and a gear change curve of the intelligent range hood from the initial time value to the time of receiving the parameter feedback instruction.
In this embodiment, the tableware is after finishing using, the user can place it in the dish washer, and send a washing start instruction to dish washer through modes such as touch panel, at this moment, the dish washer will send a parameter feedback instruction to intelligent lampblack absorber through communication link, after receiving this parameter feedback instruction at intelligent lampblack absorber, then record this moment and connect the current oil smoke value of oil box, it has accomplished to show all cooking operations, and according to the difference between initial oil smoke value and the current oil smoke value, calculate the oil smoke variable quantity that obtains whole cooking process.
On the other hand, the intelligent range hood can also record time information at the moment when the parameter feedback instruction is received, and the operation duration of the intelligent range hood and the gear change condition of the intelligent range hood in the operation duration are determined according to the initial time value and the time information.
It needs to be emphasised that because there are a lot of starts and close the operation at the in-process that cooks by intelligent lampblack absorber, consequently for the oil smoke variation volume that the whole in-process that cooks accurately produced, initial oil smoke value just can be recorded to intelligent lampblack absorber when starting for the first time to and before receiving and washing the start-up instruction, no longer repeated record starts the initial oil smoke value of operation at every turn, thereby can record the oil smoke volume that produces at whole in-process that cooks.
In S1013, the oil smoke variation and the gear variation curve sent by the intelligent range hood are received and packaged to obtain the turbidity parameter.
In this embodiment, if the amount of change in the oil smoke is larger, the degree of contamination of the dishes to be cleaned is higher; similarly, if the gear of the intelligent range hood is higher, the higher the power is used, so that the higher the amount of the extracted oil smoke is, the higher the dirt degree of the tableware to be cleaned is, and therefore the two types of parameters are packaged and fed back to the dish washing machine to serve as turbidity parameters.
In the embodiment of the invention, the oil smoke variation and the gear variation curve recorded by the intelligent range hood are received, and the two parameters are used as turbidity parameters, so that the aim of acquiring the turbidity parameters from the associated household appliances by the dish washing machine is fulfilled, and the accuracy of the turbidity parameters is improved.
Fig. 3 is a flowchart illustrating a specific implementation of the cleaning mode determining method S102 according to a third embodiment of the present invention. Referring to fig. 3, with respect to the embodiment described in fig. 2, a method S102 for determining a cleaning mode provided in this embodiment includes: s1021 to S1024 are described in detail as follows:
further, the step of introducing the turbidity parameter into a preset turbidity level conversion algorithm to calculate the turbidity level corresponding to the tableware to be washed includes:
in S1021, the soot variation is introduced into a preset turbidity hash function, and a first turbidity factor is calculated.
In this embodiment, the dish washer is provided with turbidity hash function, and this turbidity hash function is used for confirming the corresponding relation between different oil smoke variation and the turbidity factor, through leading-in this turbidity hash function with the oil smoke variation that this collection obtained, can calculate the hash value that the oil smoke variation corresponds to with this hash value discernment as first turbidity factor.
In S1022, the time domain of the gear change curve is integrated to obtain a time domain variation of the gear change curve, and the time domain variation is identified as a second turbidity factor.
In this embodiment, the coordinate axis corresponding to the gear change curve specifically uses the gear as a vertical axis, and uses time as a horizontal axis, and the dishwasher can integrate the time domain, so as to calculate the time domain variation of the gear change curve relative to the time domain, and if the numerical value of the time domain variation is larger, the energy consumption of the intelligent range hood is more, the amount of the oil smoke extracted correspondingly is larger, the degree of the dirt reflected on the tableware is higher, and therefore the time domain variation can be identified as the second turbidity factor.
In S1023, the number of the dishes to be washed is obtained, and a third turbidity factor is obtained based on the parameter number.
In this embodiment, if the number of dishes to be washed is larger, the number of foods to be contained per dish is larger, and thus the degree of contamination of each dish is higher. Based on this, the dishwasher can convert the third turbidity factor for calculating the turbidity level by the number of dishes to be washed. The dishwasher can record a conversion function of the number of the tableware and the third turbidity factor, and the third turbidity factor can be calculated by introducing the number value of the tableware into the conversion function.
In S1024, the first turbidity factor, the second turbidity factor, and the third turbidity factor are introduced into the turbidity level conversion function, and the turbidity level is calculated; the turbidity level transfer function is specifically:
wherein TurbidityLv is said turbidity level; turbinity1Is said first Turbidity factor, Turbidity2Is the second turbidity factor; turbinity3Is the third turbidity factor; lampback is the oil fume variation; turbinitystdIs a base turbidityA value of the metric; alpha, beta and gamma are preset coefficients.
In this embodiment, the first turbidity factor, the second turbidity factor and the third turbidity factor obtained by calculation are introduced into the turbidity level conversion function, so as to calculate the turbidity level corresponding to the dishes to be washed. Specifically, α, β, and γ may be selected according to different cleaning modes.
In the embodiment of the invention, the turbidity level of the tableware to be cleaned is estimated through three aspects of oil smoke amount, energy consumption of the range hood and the number of the tableware, so that the accuracy of the turbidity level can be improved.
Fig. 4 shows a flowchart of a specific implementation of S101 of a method for determining a cleaning mode according to a fourth embodiment of the present invention. Referring to fig. 4, with respect to the embodiment described in fig. 1-3, the method S101 for determining a cleaning mode provided in this embodiment includes: s1014 to S1016 are specifically detailed as follows:
further, the associated household appliance comprises an intelligent refrigerator, and if a washing starting instruction is received, the turbidity parameter of the tableware to be washed fed back by the associated household appliance is received, and the method comprises the following steps:
in S1014, the smart refrigerator is received to transmit a food material image about the taken out food material.
In this embodiment, the household appliance associated with the dishwasher includes an intelligent refrigerator, and after a user takes out food from the intelligent refrigerator, the user needs to use tableware to contain the food, so that the turbidity parameter of the tableware to be washed can be determined by taking out the food from the refrigerator. Based on this, when it is detected that the user triggers the food taking operation, an image of the food at the moment of taking the food can be acquired. Specifically, when the intelligent refrigerator detects that the cabinet door is opened, the camera module is started to collect food material images of the food materials to be taken out, the food material images are stored in the register, and after a parameter collecting instruction sent by the dish washing machine is received, all the obtained food material images are sent to the dish washing machine.
In S1015, the food material image is analyzed to determine the type of the food material extracted.
In this embodiment, the dishwasher may determine the contour information included in the food material image through a contour recognition algorithm, and may determine the food material type of the food material according to the contour shape of each contour line and the pixel value of the surrounding pixel point.
In S1016, turbidity parameters are generated according to all food material types.
In this embodiment, the initial turbidity values corresponding to different food material types are different, and after the initial turbidity values of the food material types of the taken food materials are determined, the initial turbidity values may be superimposed to obtain turbidity parameters of all the taken food materials.
In the embodiment of the invention, the intelligent household appliance feeds back the turbidity parameter of the taken food material, and the turbidity degree of food left on the tableware after the food contained in the tableware to be cleaned can be determined based on the type of the food material, so that the aim of obtaining the turbidity tableware by associating the household appliance is fulfilled.
Fig. 5 is a flowchart illustrating a specific implementation of the cleaning mode determining method S103 according to a fifth embodiment of the present invention. Referring to fig. 5, with respect to the embodiment described in fig. 1 to 3, the method S103 for determining a cleaning mode provided in this embodiment includes: s1031 to S1032 are specifically described as follows:
further, said selecting a washing mode associated with said turbidity level and performing a washing operation on said dishes to be washed according to said washing mode comprises
In S501, the number of washes and the amount of detergent are determined based on the turbidity level.
In this embodiment, after acquiring the turbidity level, the dishwasher may determine the operation parameters in the washing mode based on the turbidity level, and the operation parameters of the washing mode include the number of washing times and the amount of detergent. Specifically, if the turbidity level is higher, the number of washing times is larger, and the corresponding detergent amount is larger; conversely, the lower the turbidity level, the fewer the number of washes and the corresponding smaller the amount of detergent. The dishwasher may record a correspondence between turbidity level and number of washes and detergent amount.
In S502, the washing pattern associated with the turbidity level is generated according to the number of washes and the detergent amount.
In this embodiment, the dishwasher may pack the determined number of washes and the amount of detergent into a washing pattern, thereby generating a washing pattern matching a turbidity level.
In the embodiment of the invention, the operation parameters in the cleaning mode are adjusted through the turbidity level, so that the cleaning mode is related to the dirt degree of the tableware to be cleaned, and the cleaning efficiency is improved.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
Fig. 6 shows a block diagram of a dishwasher according to an embodiment of the present invention, which includes units for performing the steps of the embodiment of fig. 1. Please refer to fig. 1 and fig. 1 for the corresponding description of the embodiment. For convenience of explanation, only the portions related to the present embodiment are shown.
Referring to fig. 6, the dishwasher includes:
a turbidity parameter obtaining unit 61, configured to receive a turbidity parameter of the tableware to be cleaned, which is fed back by the associated household appliance, if the washing start instruction is received;
a turbidity level calculation unit 62, configured to introduce the turbidity parameter into a preset turbidity level conversion algorithm, and calculate a turbidity level corresponding to the tableware to be cleaned;
a washing mode determining unit 63 for selecting a washing mode associated with the turbidity level and performing a washing operation on the dishes to be washed according to the washing mode.
Optionally, the associated household appliance includes an intelligent range hood, and the turbidity parameter obtaining unit 61 includes:
the initial parameter recording unit is used for sending an initial parameter acquisition instruction to the intelligent range hood if the intelligent range hood is detected to be started, so that the intelligent range hood records an initial oil smoke value of an oil receiving box built in the moment when the initial parameter acquisition instruction is received and an initial time value when the initial parameter acquisition instruction is received;
the parameter change identification unit is used for sending a parameter feedback instruction to the intelligent range hood if a cleaning starting instruction is received, so that the intelligent range hood obtains the current oil smoke value of the oil receiving box at the moment when the parameter feedback instruction is received, obtains an oil smoke variation quantity according to a difference value between an initial oil smoke value and the current oil smoke value, and obtains a gear change curve of the intelligent range hood from the initial time value to the moment when the parameter feedback instruction is received;
and the turbidity parameter packaging unit is used for receiving the oil smoke variable quantity and the gear change curve sent by the intelligent range hood, and packaging the oil smoke variable quantity and the gear change curve to obtain the turbidity parameters.
Optionally, the turbidity level calculating unit 62 includes:
the first turbidity factor acquisition unit is used for guiding the oil smoke variation into a preset turbidity hash function and calculating a first turbidity factor;
a second turbidity factor obtaining unit, configured to integrate a time domain of the gear change curve to obtain a time domain variation of the gear change curve, and identify the time domain variation as a second turbidity factor;
the third turbidity factor acquisition unit is used for acquiring the number of the tableware to be cleaned and acquiring a third turbidity factor based on the number of the parameters;
a turbidity factor conversion unit for introducing the first turbidity factor, the second turbidity factor and the third turbidity factor into the turbidity level conversion function to calculate the turbidity level; the turbidity level transfer function is specifically:
wherein TurbidityLv is said turbidity level; turbidity1Is said first Turbidity factor, Turbidity2Is the second turbidity factor; turbinity3Is the third turbidity factor; lampback is the oil fume variation; turbinitystdIs a baseline haze value; alpha, beta and gamma are preset coefficients.
Optionally, the associated household appliance includes an intelligent refrigerator, and the turbidity parameter obtaining unit 61 includes:
a food material image receiving unit for receiving a food material image about the taken food material sent by the intelligent refrigerator;
a food material type identification unit, configured to analyze the food material image and determine a food material type of the taken-out food material;
and the turbidity parameter generating unit is used for generating turbidity parameters according to all food material types.
Optionally, the washing mode determining unit 63 includes:
a washing parameter determination unit for determining a number of washing times and an amount of detergent based on the turbidity level;
a wash mode creating unit for generating the wash mode associated with the turbidity level according to the number of washes and the amount of detergent.
Therefore, the dishwasher provided by the embodiment of the invention can also feed back information related to the use of the tableware to be cleaned through other intelligent household appliances, identify the fed-back information as the turbidity parameter, calculate the turbidity level of the tableware to be cleaned through the turbidity parameter, select the cleaning mode matched with the turbidity level, and perform cleaning operation on the tableware to be cleaned based on the cleaning mode, thereby realizing the purpose of automatically selecting the cleaning mode, avoiding manual acquisition by a user, reducing the user operation, improving the convenience of the dishwasher operation, and improving the accuracy of the cleaning mode.
Fig. 7 is a schematic view of a dishwasher according to another embodiment of the present invention. As shown in fig. 7, the dishwasher 7 of this embodiment includes: a processor 70, a memory 71 and a computer program 72 stored in said memory 71 and executable on said processor 70, such as a program for determining a washing pattern. The processor 70, when executing the computer program 72, implements the steps in the above-described respective washing mode determination method embodiments, such as S101 to S103 shown in fig. 1. Alternatively, the processor 70, when executing the computer program 72, implements the functions of the units in the above-described device embodiments, such as the functions of the modules 61 to 63 shown in fig. 6.
Illustratively, the computer program 72 may be divided into one or more units, which are stored in the memory 71 and executed by the processor 70 to accomplish the present invention. The one or more units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 72 in the dishwasher 7. For example, the computer program 72 may be divided into a turbidity parameter acquisition unit, a turbidity level calculation unit, and a wash mode determination unit, each functioning specifically as described above.
The dishwasher may include, but is not limited to, a processor 70, a memory 71. It will be appreciated by those skilled in the art that fig. 7 is merely an example of a dishwasher 7 and does not constitute a limitation of dishwasher 7 and may include more or less components than those shown, or some components in combination, or different components, e.g., the dishwasher may also include input and output devices, network access devices, buses, etc.
The Processor 70 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 71 may be an internal storage unit of the dishwasher 7, such as a hard disk or a memory of the dishwasher 7. The memory 71 may also be an external storage device of the dishwasher 7, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the dishwasher 7. Further, the memory 71 may also comprise both an internal memory unit and an external memory device of the dishwasher 7. The memory 71 is used for storing the computer program and other programs and data required by the dishwasher. The memory 71 may also be used to temporarily store data that has been output or is to be output.
In addition, functional units in the embodiments of the present invention 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 integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (8)
1. A method for determining a cleaning mode, comprising:
if receiving a washing starting instruction, receiving a turbidity parameter which is fed back by the associated household appliance and is related to the tableware to be washed;
importing the turbidity parameters into a preset turbidity grade conversion algorithm, and calculating the turbidity grade corresponding to the tableware to be cleaned;
selecting a washing mode associated with the turbidity level, and performing washing operation on the tableware to be washed according to the washing mode;
the related household appliances comprise an intelligent range hood, if a washing starting instruction is received, the turbidity parameter of the tableware to be washed fed back by the related household appliances is received, and the method comprises the following steps:
if the intelligent range hood is detected to be started, sending an initial parameter acquisition instruction to the intelligent range hood so that the intelligent range hood records an initial oil smoke value of an oil receiving box built in the moment when the initial parameter acquisition instruction is received and an initial time value when the initial parameter acquisition instruction is received;
if a cleaning starting instruction is received, sending a parameter feedback instruction to the intelligent range hood so that the intelligent range hood obtains a current oil smoke value of the oil receiving box at the moment when the parameter feedback instruction is received, and obtaining an oil smoke variation and a gear change curve of the intelligent range hood from the initial time value to the moment when the parameter feedback instruction is received according to a difference value between the initial oil smoke value and the current oil smoke value;
receiving the oil smoke variable quantity and the gear change curve sent by the intelligent range hood, and packaging the oil smoke variable quantity and the gear change curve to obtain the turbidity parameter.
2. The method for determining according to claim 1, wherein said introducing the turbidity parameter to a preset turbidity level conversion algorithm for calculating the turbidity level corresponding to the dishes to be washed comprises:
introducing the oil fume variation into a preset turbidity hash function, and calculating a first turbidity factor;
integrating the time domain of the gear change curve to obtain the time domain variation of the gear change curve, and identifying the time domain variation as a second turbidity factor;
acquiring the number of the tableware to be cleaned, and acquiring a third turbidity factor based on the number of the tableware;
introducing the first turbidity factor, the second turbidity factor and the third turbidity factor into the turbidity level conversion algorithm to calculate the turbidity level; the turbidity level transfer function is specifically:
wherein TurbidityLv is said turbidity level; turbinity1Is said first Turbidity factor, Turbidity2Is the second turbidity factor; turbinity3Is the third turbidity factor; lampback is the oil fume variation; turbinitystdIs a baseline haze value; alpha, beta and gamma are preset coefficients.
3. The method for determining according to claim 1, wherein the associated household appliance comprises an intelligent refrigerator, and the receiving of the turbidity parameter of the dishes to be washed fed back by the associated household appliance if the washing start instruction is received comprises:
receiving a food material image which is sent by the intelligent refrigerator and related to the taken food material;
analyzing the food material image, and determining the type of the food material with the taken food material;
generating a turbidity parameter from all food material types.
4. A method according to any one of claims 1-3, wherein said selecting a washing mode associated with said turbidity level and performing a washing operation on said dishes to be washed according to said washing mode comprises:
determining a number of washes and a detergent amount based on the turbidity level;
generating the washing mode associated with the turbidity level according to the washing times and the cleaning dose.
5. A dishwasher, comprising:
the turbidity parameter acquisition unit is used for receiving turbidity parameters which are fed back by the associated household appliances and are related to the tableware to be cleaned if receiving a cleaning starting instruction;
the turbidity level calculation unit is used for importing the turbidity parameters into a preset turbidity level conversion algorithm and calculating the turbidity level corresponding to the tableware to be cleaned;
a washing mode determining unit for selecting a washing mode associated with the turbidity level and performing a washing operation on the dishes to be washed according to the washing mode;
the associated household appliance comprises an intelligent range hood, and the turbidity parameter acquisition unit comprises:
the initial parameter recording unit is used for sending an initial parameter acquisition instruction to the intelligent range hood if the intelligent range hood is detected to be started, so that the intelligent range hood records an initial oil smoke value of an oil receiving box built in the moment when the initial parameter acquisition instruction is received and an initial time value when the initial parameter acquisition instruction is received;
the parameter change identification unit is used for sending a parameter feedback instruction to the intelligent range hood if a cleaning starting instruction is received, so that the intelligent range hood obtains the current oil smoke value of the oil receiving box at the moment when the parameter feedback instruction is received, obtains an oil smoke variation quantity according to a difference value between an initial oil smoke value and the current oil smoke value, and obtains a gear change curve of the intelligent range hood from the initial time value to the moment when the parameter feedback instruction is received;
and the turbidity parameter packaging unit is used for receiving the oil smoke variable quantity and the gear change curve sent by the intelligent range hood, and packaging the oil smoke variable quantity and the gear change curve to obtain the turbidity parameters.
6. The dishwasher of claim 5, wherein the turbidity level calculating unit comprises:
the first turbidity factor acquisition unit is used for guiding the oil smoke variation into a preset turbidity hash function and calculating a first turbidity factor;
a second turbidity factor obtaining unit, configured to integrate a time domain of the gear change curve to obtain a time domain variation of the gear change curve, and identify the time domain variation as a second turbidity factor;
the third turbidity factor acquisition unit is used for acquiring the number of the tableware to be cleaned and acquiring a third turbidity factor based on the number of the tableware;
a turbidity factor conversion unit for introducing the first turbidity factor, the second turbidity factor and the third turbidity factor into the turbidity level conversion function to calculate the turbidity level; the turbidity level conversion algorithm specifically comprises the following steps:
wherein TurbidityLv is said turbidity level; turbinity1Is said first Turbidity factor, Turbidity2Is the second turbidity factor; turbinity3Is the third turbidity factor; lampback is the oil fume variation; turbinitystdIs a baseline haze value; alpha, beta and gamma are preset coefficients.
7. A dishwasher, characterized in that the dishwasher comprises a memory, a processor and a computer program stored in the memory and executable on the processor, the processor executing the computer program with the steps of the method according to any one of claims 1 to 4.
8. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 4.
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Denomination of invention: A method for determining cleaning mode and dishwasher Effective date of registration: 20211217 Granted publication date: 20210504 Pledgee: Beijiao sub branch of Guangdong Shunde Rural Commercial Bank Co., Ltd Pledgor: FOSHAN BEST ELECTRICAL APPLIANCE TECHNOLOGY Co.,Ltd. Registration number: Y2021980015490 |