CN111434302B - Intelligent recommendation method and system for cleaning curve of dish washer - Google Patents
Intelligent recommendation method and system for cleaning curve of dish washer Download PDFInfo
- Publication number
- CN111434302B CN111434302B CN201910035181.4A CN201910035181A CN111434302B CN 111434302 B CN111434302 B CN 111434302B CN 201910035181 A CN201910035181 A CN 201910035181A CN 111434302 B CN111434302 B CN 111434302B
- Authority
- CN
- China
- Prior art keywords
- cleaning
- curve
- user
- cleaned
- fruit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- 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
Landscapes
- Washing And Drying Of Tableware (AREA)
Abstract
The invention relates to an intelligent cleaning curve recommending method and system of a dish washer, wherein the intelligent cleaning curve recommending method is used for identifying the type of an object to be cleaned in the dish washer when the execution starts, so that the cleaning curve recommending process for tableware or the cleaning curve recommending process for fruits and vegetables is carried out according to the type of the identified object to be cleaned, the corresponding cleaning curve recommending operation is carried out according to the type of the identified object to be cleaned, and the intelligent cleaning curve recommending method is more specific and more accords with the cleaning requirements of users on different objects to be cleaned; in the process of recommending the cleaning curves aiming at the tableware, the quantity of the tableware types contained in the objects to be cleaned is judged so as to recommend the cleaning curves which are more in line with the types of the objects to be cleaned at present, the preset cleaning curves can be intelligently matched with the types of the objects to be cleaned actually, and the intelligent cleaning requirement of a user on the dish washer in an actual use scene is met.
Description
Technical Field
The invention relates to the field of dish washers, in particular to an intelligent recommendation method and system for a cleaning curve of a dish washer.
Background
In the field of kitchen appliances, dishwashers have been used by an increasing number of households as a convenient dish washing tool. With the development of intelligent technology, dish washers with intelligent functions are also facing the market successively. These dishwashers can be connected to user terminal devices, such as smartphones and tablet computers, and then the user uses the user terminal devices to view on-line official preset intelligent washing curves provided by the dishwasher manufacturer or the user uses the user terminals to customize intelligent washing curves for the dishwasher in order to control the whole washing process of the dishwasher.
The official preset intelligent cleaning curves provided by the dish washer manufacturer are cleaning curves obtained through verification of a large amount of experimental data, water level data, water temperature data, cleaning time data and the like of the dish washer in the cleaning process are set by the dish washer manufacturer in advance, objects to be cleaned corresponding to the official preset intelligent cleaning curves are fixed, and if the objects to be cleaned corresponding to the official preset intelligent cleaning curves are bowls, once a user needs to clean the fruits or vegetables in the actual use process, the dish washer does not have the cleaning curves for the fruits or vegetables, so that the use experience effect of the user in using the dish washer is reduced.
Of course, if the user uses his own user terminal to customize the washing curve, it is difficult to achieve the desired satisfactory washing effect even if the washing curve defined by them is executed by the dishwasher due to the lack of professional experience in setting the washing curve by most of the users. That is, the existing cleaning curve recommendation method for the dish washer is difficult to meet the cleaning needs of users in actual use scenes, and is difficult to achieve the intellectualization meeting the cleaning requirements of the users.
Disclosure of Invention
The first technical problem to be solved by the invention is to provide an intelligent recommendation method for a cleaning curve of a dish washer aiming at the prior art.
The second technical problem to be solved by the invention is to provide a cleaning curve intelligent recommendation system for realizing the cleaning curve intelligent recommendation method aiming at the prior art.
The technical scheme adopted by the invention for solving the first technical problem is as follows: the intelligent recommendation method for the cleaning curve of the dish washer is characterized by comprising the following steps of:
step 1, identifying the object type of an object to be cleaned placed in a dish washer to obtain the object type of the object to be cleaned;
step 4, respectively obtaining highest water temperature data of each dish washing curve according to the water temperature data of each dish washing curve, and forming a highest Shui Wenzi database of the dish washing curve according to all the obtained highest water temperature data;
step 5, obtaining the highest water temperature data and the lowest water temperature data in the highest Shui Wenzi database of the tableware cleaning curve, and judging according to the obtained highest water temperature data and lowest water temperature data:
when the difference value between the acquired highest water temperature data and the acquired lowest water temperature data is larger than a preset temperature difference threshold value, a prompt for separating cleaning the object to be cleaned is sent to a user, and the step 6 is shifted to; otherwise, go to step 7;
step 6, receiving selection feedback of the user for the separate cleaning prompt and executing corresponding processing: when the user selects to separate cleaning, the step 3 is shifted to; otherwise, go to step 7;
step 7, respectively obtaining a water level average value of water level data corresponding to each tableware cleaning curve, a water temperature average value of water temperature data corresponding to each tableware cleaning curve and a cleaning time average value of cleaning time data corresponding to each tableware cleaning curve, and recommending the tableware cleaning curve formed by the obtained water level average value, water temperature average value and cleaning time average value to a user as an optimal tableware cleaning curve aiming at a current object to be cleaned;
step 8, identifying and obtaining the fruit and vegetable variety number of the object to be cleaned and the fruit and vegetable health condition of all fruits and vegetables in the object to be cleaned;
step 9, judging whether the health of the user is endangered according to the obtained health state of the fruits and vegetables: when judging that the object to be cleaned has fruits and vegetables which are harmful to the health of a user, sending a fruit and vegetable replacement prompt to the user, and turning to step 10; otherwise, go to 11;
step 10, judging according to feedback of the user on the fruit and vegetable replacement prompt: when the user does not continue cleaning, the step 8 is carried out; otherwise, go to step 11;
step 11, recommending the fruit and vegetable cleaning curve data which are positioned in a preset fruit and vegetable cleaning curve database and correspond to the variety of fruit and vegetable to a user when judging that the object to be cleaned is a single variety of fruit and vegetable; otherwise, respectively calling the fruit and vegetable cleaning curve data which are positioned in a preset fruit and vegetable cleaning curve database and correspond to various fruits and vegetables, and turning to step 12; the fruit and vegetable cleaning curve data comprise water level data, cleaning time data and cleaning mode data corresponding to the fruit and vegetable cleaning curve execution;
step 12, when judging that different cleaning mode data exist in all the invoked fruit and vegetable cleaning curve data, sending a prompt for separating cleaning aiming at the object to be cleaned to a user, and turning to step 13; otherwise, go to step 14;
step 13, receiving selection feedback of a user for the separate cleaning prompt and executing corresponding processing: when the user selects to separate the cleaning, the step 11 is carried out; otherwise, go to step 8;
and 14, respectively acquiring a water level average value of water level data corresponding to each fruit and vegetable cleaning curve and a cleaning time average value of cleaning time data corresponding to each fruit and vegetable cleaning curve, and recommending the fruit and vegetable cleaning curve formed by the acquired water level average value and the cleaning time average value to a user as an optimal fruit and vegetable cleaning curve aiming at the current object to be cleaned.
In an improved manner, in the intelligent recommendation method for the cleaning curve of the dish washer, the step 14 further comprises the step of sending the health conditions of the fruits and vegetables obtained in the step 8 to a user again for prompting.
Optionally, in the intelligent recommendation method for the washing curve of the dish washer, the tableware is a bowl or a dish or a soup ladle or chopsticks or any combination of a bowl, a dish, a soup ladle and chopsticks.
Further, in the intelligent recommendation method for a washing curve of a dishwasher, the preset temperature difference threshold in step 5 is 20 ℃.
The invention solves the second technical problem by adopting the technical proposal that: the cleaning curve intelligent recommendation system for realizing the cleaning curve intelligent recommendation method comprises a dish washer and is characterized by further comprising a user terminal and a processing terminal for judging processing and working in the cleaning curve intelligent recommendation method and providing a cleaning curve for the dish washer, wherein the dish washer is respectively connected with the user terminal and the processing terminal.
Further, the processing terminal is a cloud platform at a far end; alternatively, the treatment terminal is integrated on the dishwasher.
Optionally, the user terminal is a smart phone or a tablet computer.
Compared with the prior art, the invention has the advantages that:
firstly, the intelligent cleaning curve recommending method of the invention recognizes the object type of the object to be cleaned when the execution starts, so as to execute the cleaning curve recommending process for tableware or the cleaning curve recommending process for fruits and vegetables according to the recognized object type to be cleaned, thereby realizing the corresponding cleaning curve recommending operation according to the recognized object type of the object to be cleaned, having more pertinence and more meeting the cleaning demands of users on different objects to be cleaned;
secondly, in the intelligent recommending method of the cleaning curve, in the recommending process of the cleaning curve aiming at the tableware, the quantity of the tableware types contained in the object to be cleaned is judged, namely when the object to be cleaned only contains single-variety tableware, the corresponding tableware cleaning curve data in the preset tableware cleaning curve data is only recommended to a user; once the object to be cleaned contains a plurality of types of tableware, the object to be cleaned needs to be processed according to the water level, the water temperature and the cleaning time corresponding to each type of tableware respectively, namely, the original preset cleaning curve data verified by a dish washer manufacturer for numerous times is taken as the basis, and the real situation of the object to be cleaned in the actual process is taken into consideration for carrying out combination processing, so that a new tableware cleaning curve is formed and is recommended to a user as an optimal tableware cleaning curve aiming at the current object to be cleaned, the defect that most users lack professional experience in setting the cleaning curve is avoided, and the preset tableware cleaning curve is combined with the tableware types of the actual object to be cleaned, so that the tableware cleaning curve recommended to the user is more suitable for the cleaning requirement of the user aiming at the current object to be cleaned;
thirdly, in the process of executing the cleaning curve recommendation for fruits and vegetables, the intelligent cleaning curve recommendation method can judge the number of the fruits and vegetables contained in the object to be cleaned, namely, when the object to be cleaned only contains fruits and vegetables of a single variety, only the corresponding fruit and vegetable cleaning curve data in the preset fruit and vegetable cleaning curve data and whether the fruits and vegetables of the variety are harmful to the physical health of a user are provided for the user; once the object to be cleaned contains fruits and vegetables of a plurality of varieties, extracting and processing fruit and vegetable cleaning curve data corresponding to various fruits and vegetables in preset fruit and vegetable cleaning curve data according to the cleaning needs of a user, processing according to the water level and the cleaning time of each fruit and vegetable cleaning curve data to form a new fruit and vegetable cleaning curve which is recommended to the user as an optimal fruit and vegetable cleaning curve for the current object to be cleaned, and combining the preset fruit and vegetable cleaning curve with the fruit and vegetable varieties of the actual object to be cleaned is also realized, so that the fruit and vegetable cleaning curve recommended to the user is more suitable for the cleaning needs of the user for the current object to be cleaned;
finally, the intelligent cleaning curve recommending method can realize intelligent matching of the object to be cleaned in the actual scene and the cleaning curve, and can inform the user of the harm condition of the fruits and vegetables in the present period to the health of the user when cleaning the fruits and vegetables, thereby realizing intelligent reminding of the health condition of the fruits and vegetables of the user and cleaning tabu prompt for various fruits and vegetables.
Drawings
Fig. 1 is a schematic diagram of an intelligent cleaning curve recommendation system in an embodiment of the invention.
Detailed Description
The invention is described in further detail below with reference to the embodiments of the drawings.
The embodiment provides an intelligent recommendation method for a cleaning curve of a dish washer, which specifically comprises the following steps:
step 1, identifying the object type of an object to be cleaned placed in a dish washer to obtain the object type of the object to be cleaned; the identification process for the object to be cleaned can be carried out by adopting the image identification technology which is mature at present;
that is, once it is determined that the object to be cleaned contains a plurality of types of dishes, the dish washing curve data corresponding to each type of dishes in the preset dish washing curve database is called out;
step 4, respectively obtaining highest water temperature data of each dish washing curve according to the water temperature data of each dish washing curve, and forming a highest Shui Wenzi database of the dish washing curve according to all the obtained highest water temperature data; that is, the highest water temperature sub-database of the formed dish washing curves contains a plurality of highest water temperature data extracted from the original dish washing curves respectively;
step 5, obtaining the highest water temperature data and the lowest water temperature data in the highest Shui Wenzi database of the tableware cleaning curve, and judging according to the obtained highest water temperature data and lowest water temperature data:
when the difference value between the acquired highest water temperature data and the acquired lowest water temperature data is larger than a preset temperature difference threshold value, a prompt for separating cleaning the object to be cleaned is sent to a user at the moment, and the step 6 is shifted; otherwise, go to step 7; when the difference value between the highest water temperature data and the lowest water temperature data is larger than a preset temperature difference threshold value, the fact that a plurality of tableware contained in the object to be cleaned has different proper water temperatures for cleaning is indicated, and once the proper water temperature required by any tableware is not reached, even if the dishwasher cleans the tableware, the cleaning effect on the tableware is still poor; for example, the preset temperature difference threshold herein may be set to 20 ℃ as desired;
step 6, receiving selection feedback of the user for the separate cleaning prompt and executing corresponding processing: when the user selects to separate cleaning, the step 3 is shifted to; otherwise, the user still requests to put the tableware of different varieties into the dish washer to be washed together, and then the step 7 is carried out;
step 7, respectively obtaining a water level average value of water level data corresponding to each tableware cleaning curve, a water temperature average value of water temperature data corresponding to each tableware cleaning curve and a cleaning time average value of cleaning time data corresponding to each tableware cleaning curve, and recommending the tableware cleaning curve formed by the obtained water level average value, water temperature average value and cleaning time average value to a user as an optimal tableware cleaning curve aiming at a current object to be cleaned; wherein:
assuming that the object to be cleaned contains three kinds of tableware a, B and C through identification and judgment, correspondingly, invoking tableware cleaning curves A, B and C respectively corresponding to the three kinds of tableware in a preset tableware cleaning curve database;
the water level data corresponding to the tableware cleaning curve A is L A The water temperature data is T A The cleaning time data is t A ；
The water level data corresponding to the tableware cleaning curve B is L B The water temperature data is T B The cleaning time data is t B ；
The water level data corresponding to the tableware cleaning curve C is L C The water temperature data is T C The cleaning time data is t C ；
The water level data corresponding to the optimal dish washing curve recommended to the user is then (L) A +L B +L C ) The water temperature data corresponding to the optimal dish washing curve is (T) A +T B +T C ) And/3, the cleaning time data corresponding to the optimal dish cleaning curve is (t) A +t B +t C )/3；
Step 8, identifying and obtaining the number of fruit and vegetable varieties of the object to be cleaned and the health conditions of the fruit and vegetable varieties of all fruits and vegetables in the object to be cleaned;
step 9, judging whether the health of the user is endangered according to the obtained health state of the fruits and vegetables: when judging that the object to be cleaned has fruits and vegetables which are harmful to the health of a user, sending a fruit and vegetable replacement prompt to the user so as to remind the user to replace the current fruits and vegetables and then clean the fruits and vegetables, and then turning to step 10; otherwise, go to 11;
step 10, judging according to feedback of the user on the fruit and vegetable replacement prompt: when the user does not continue cleaning, the step 8 is carried out; otherwise, the user is not required to replace the fruits and vegetables, and the user continues to clean the fruits and vegetables in the object to be cleaned, and the step 11 is carried out;
step 11, when judging that the object to be cleaned is a single variety of fruits and vegetables, namely the object to be cleaned is a single fruit and vegetable, or the object to be cleaned is a plurality of fruits and vegetables, but the variety of the fruits and vegetables is a variety, for example, apples or celery, recommending the fruit and vegetable cleaning curve data which are positioned in a preset fruit and vegetable cleaning curve database and correspond to the variety of fruits and vegetables to a user; otherwise, respectively calling the fruit and vegetable cleaning curve data which are positioned in a preset fruit and vegetable cleaning curve database and correspond to various fruits and vegetables, and turning to step 12; the fruit and vegetable cleaning curve data comprise water level data, cleaning time data and cleaning mode data corresponding to the fruit and vegetable cleaning curve execution;
step 12, when judging that different cleaning mode data exist in all the invoked fruit and vegetable cleaning curve data, sending a prompt for separating cleaning aiming at the object to be cleaned to a user, and turning to step 13; otherwise, go to step 14;
step 13, receiving selection feedback of a user for the separate cleaning prompt and executing corresponding processing: when the user selects to separate the cleaning, the step 11 is carried out; otherwise, the step 8 is shifted to if the user still holds to clean all varieties of fruits and vegetables in the object to be cleaned;
and 14, respectively acquiring a water level average value of water level data corresponding to each fruit and vegetable cleaning curve and a cleaning time average value of cleaning time data corresponding to each fruit and vegetable cleaning curve, and recommending the fruit and vegetable cleaning curve formed by the acquired water level average value and the cleaning time average value to a user as an optimal fruit and vegetable cleaning curve aiming at the current object to be cleaned.
The object to be cleaned is assumed to contain a fruit d and a vegetable e through identification and judgment; correspondingly, a fruit and vegetable cleaning curve D corresponding to the fruit D and a fruit and vegetable cleaning curve E corresponding to the vegetable E are respectively called in a preset fruit and vegetable cleaning curve database;
the water level data corresponding to the fruit and vegetable cleaning curve D is L D The cleaning time data is t D ；
The water level data corresponding to the fruit and vegetable cleaning curve E is L E The cleaning time data is t E ；
Then, the water level data corresponding to the optimal fruit and vegetable cleaning curve recommended to the user is (L) D +L E ) The cleaning time data corresponding to the optimal fruit and vegetable cleaning curve is (t) D +t E )/2；
Of course, in order to ensure the physical health of the user, as an improvement, step 14 of the present embodiment further includes: and (5) sending the health condition of the fruits and vegetables obtained in the step (8) to a user again for prompting.
Referring to fig. 1, the present embodiment further provides a cleaning curve intelligent recommendation system for implementing the cleaning curve intelligent recommendation method, where the cleaning curve intelligent recommendation system not only includes a dishwasher 1, but also includes a user terminal 2 and a processing terminal 3 for executing the judgment and processing work in the cleaning curve intelligent recommendation method and providing a cleaning curve to the dishwasher, and the dishwasher 1 is connected with the user terminal 2 and the processing terminal 3 respectively. The dishwasher 1 may perform a washing operation for an object to be washed according to a washing profile selected by a user (provided via a processing terminal or recommended washing profile). The dishwasher 1 in this embodiment adopts a tub type dishwasher. The user terminal 2 may be a smart phone or a tablet computer.
Of course, the processing terminal 3 here may be provided as a remotely located cloud platform, which may be managed by the dishwasher manufacturer, for update management needs of the washing curve. In addition, the treatment terminal 3 may be integrated in a dishwasher according to actual needs. It should be noted that the integrated dishwasher may be connected to a server managed by the dishwasher manufacturer as needed in order to update the preset washing curve database stored in the integrated dishwasher in time.
Claims (7)
1. The intelligent recommendation method for the cleaning curve of the dish washer is characterized by comprising the following steps of:
step 1, identifying the object type of an object to be cleaned placed in a dish washer to obtain the object type of the object to be cleaned;
step 2, when the object type of the object to be cleaned belongs to tableware, turning to step 3; when the object type of the object to be cleaned belongs to fruits and vegetables, the step 8 is carried out;
step 3, recommending the dish washing curve data which are positioned in a preset dish washing curve database and correspond to the single-variety dish to a user when the object to be washed is judged to be the single-variety dish; otherwise, respectively calling the dish washing curve data which are positioned in a preset dish washing curve database and correspond to various dishes, and then transferring to the step 4; wherein the tableware cleaning curve data comprises water level data, water temperature data and cleaning time data corresponding to the tableware cleaning curve;
step 4, respectively obtaining highest water temperature data of each dish washing curve according to the water temperature data of each dish washing curve, and forming a highest Shui Wenzi database of the dish washing curve according to all the obtained highest water temperature data;
step 5, obtaining the highest water temperature data and the lowest water temperature data in the highest Shui Wenzi database of the tableware cleaning curve, and judging according to the obtained highest water temperature data and lowest water temperature data:
when the difference value between the acquired highest water temperature data and the acquired lowest water temperature data is larger than a preset temperature difference threshold value, a prompt for separating cleaning the object to be cleaned is sent to a user, and the step 6 is shifted to; otherwise, go to step 7;
step 6, receiving selection feedback of the user for the separate cleaning prompt and executing corresponding processing: when the user selects to separate cleaning, the step 3 is shifted to; otherwise, go to step 7;
step 7, respectively obtaining a water level average value of water level data corresponding to each tableware cleaning curve, a water temperature average value of water temperature data corresponding to each tableware cleaning curve and a cleaning time average value of cleaning time data corresponding to each tableware cleaning curve, and recommending the tableware cleaning curve formed by the obtained water level average value, water temperature average value and cleaning time average value to a user as an optimal tableware cleaning curve aiming at a current object to be cleaned;
step 8, identifying and obtaining the fruit and vegetable variety number of the object to be cleaned and the fruit and vegetable health condition of all fruits and vegetables in the object to be cleaned;
step 9, judging whether the health of the user is endangered according to the obtained health state of the fruits and vegetables: when judging that the object to be cleaned has fruits and vegetables which are harmful to the health of a user, sending a fruit and vegetable replacement prompt to the user, and turning to step 10; otherwise, go to 11;
step 10, judging according to feedback of the user on the fruit and vegetable replacement prompt: when the user does not continue cleaning, the step 8 is carried out; otherwise, go to step 11;
step 11, recommending the fruit and vegetable cleaning curve data which are positioned in a preset fruit and vegetable cleaning curve database and correspond to the variety of fruit and vegetable to a user when judging that the object to be cleaned is a single variety of fruit and vegetable; otherwise, respectively calling the fruit and vegetable cleaning curve data which are positioned in a preset fruit and vegetable cleaning curve database and correspond to various fruits and vegetables, and turning to step 12; the fruit and vegetable cleaning curve data comprise water level data, cleaning time data and cleaning mode data corresponding to the fruit and vegetable cleaning curve execution;
step 12, when judging that different cleaning mode data exist in all the invoked fruit and vegetable cleaning curve data, sending a prompt for separating cleaning aiming at the object to be cleaned to a user, and turning to step 13; otherwise, go to step 14;
step 13, receiving selection feedback of a user for the separate cleaning prompt and executing corresponding processing: when the user selects to separate the cleaning, the step 11 is carried out; otherwise, go to step 8;
and 14, respectively acquiring a water level average value of water level data corresponding to each fruit and vegetable cleaning curve and a cleaning time average value of cleaning time data corresponding to each fruit and vegetable cleaning curve, and recommending the fruit and vegetable cleaning curve formed by the acquired water level average value and the cleaning time average value to a user as an optimal fruit and vegetable cleaning curve aiming at the current object to be cleaned.
2. The intelligent cleaning profile recommendation method of a dishwasher of claim 1, further comprising in step 14: and (3) sending the health condition conditions of the fruits and vegetables obtained in the step (8) to a user again for prompting.
3. The intelligent recommendation method for the cleaning curve of the dish washer according to claim 1, wherein the tableware is a bowl or a dish or a soup ladle or chopsticks or any combination of a bowl, a dish, a soup ladle and chopsticks.
4. A method as claimed in any one of claims 1 to 3, wherein the preset temperature difference threshold in step 5 is 20 ℃.
5. The cleaning curve intelligent recommendation system for realizing the cleaning curve intelligent recommendation method according to any one of claims 1-4, comprising a dish washer (1), and further comprising a user terminal (2) and a processing terminal (3) for executing judgment and processing work in the cleaning curve intelligent recommendation method and providing a cleaning curve for the dish washer, wherein the dish washer (1) is respectively connected with the user terminal (2) and the processing terminal (3).
6. The cleaning curve intelligent recommendation system according to claim 5, wherein the processing terminal (3) is a cloud platform at a far end; alternatively, the treatment terminal (3) is integrated on the dishwasher (1).
7. The cleaning curve intelligent recommendation system according to claim 5, wherein the user terminal (2) is a smart phone or a tablet computer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910035181.4A CN111434302B (en) | 2019-01-15 | 2019-01-15 | Intelligent recommendation method and system for cleaning curve of dish washer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910035181.4A CN111434302B (en) | 2019-01-15 | 2019-01-15 | Intelligent recommendation method and system for cleaning curve of dish washer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111434302A CN111434302A (en) | 2020-07-21 |
| CN111434302B true CN111434302B (en) | 2023-05-26 |
Family
ID=71580660
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910035181.4A Active CN111434302B (en) | 2019-01-15 | 2019-01-15 | Intelligent recommendation method and system for cleaning curve of dish washer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111434302B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113793486B (en) * | 2021-08-25 | 2024-05-17 | 青岛海尔智能技术研发有限公司 | Pesticide residue processing method, pesticide residue processing device, computer equipment and storage medium |
| CN114617508B (en) * | 2022-02-23 | 2024-10-18 | 珠海格力电器股份有限公司 | Control method and control device of dish washer |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104452180A (en) * | 2013-09-18 | 2015-03-25 | 海尔集团公司 | Direct drive pulsator washing machine with different washing modes and control method of direct drive pulsator washing machine |
| DE102017108349A1 (en) * | 2016-05-23 | 2017-11-23 | Miele & Cie. Kg | Washing machine or dishwasher with a heating device for heating the washing or rinsing liquid |
| CN107729816A (en) * | 2017-09-15 | 2018-02-23 | 珠海格力电器股份有限公司 | Method and device for determining washing mode, storage medium, processor and dish washing machine |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005102534A (en) * | 2003-09-29 | 2005-04-21 | Casio Comput Co Ltd | Washer and method for controlling washing |
| CN106032613B (en) * | 2015-03-10 | 2020-05-22 | 青岛海尔洗衣机有限公司 | Intelligent clothes washing management device and method thereof |
| CN105231468B (en) * | 2015-08-28 | 2018-03-02 | 河海大学常州校区 | Automatic ultrasonic cleaning machine and its method of work based on image procossing |
| US10358760B2 (en) * | 2016-06-30 | 2019-07-23 | Midea Group Co., Ltd. | Laundry washing machine with automatic rinse operation type selection |
| CN107485356B (en) * | 2017-09-01 | 2019-10-18 | 佛山市顺德区美的洗涤电器制造有限公司 | The control method of washing and device and dish-washing machine of dish-washing machine |
| CN108836211B (en) * | 2018-06-27 | 2021-11-09 | 北京小米移动软件有限公司 | Tableware cleaning device and method |
| CN108893933A (en) * | 2018-09-12 | 2018-11-27 | 青岛海尔智能技术研发有限公司 | A kind of clothes washing system, washing machine and its washing methods |
-
2019
- 2019-01-15 CN CN201910035181.4A patent/CN111434302B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104452180A (en) * | 2013-09-18 | 2015-03-25 | 海尔集团公司 | Direct drive pulsator washing machine with different washing modes and control method of direct drive pulsator washing machine |
| DE102017108349A1 (en) * | 2016-05-23 | 2017-11-23 | Miele & Cie. Kg | Washing machine or dishwasher with a heating device for heating the washing or rinsing liquid |
| CN107729816A (en) * | 2017-09-15 | 2018-02-23 | 珠海格力电器股份有限公司 | Method and device for determining washing mode, storage medium, processor and dish washing machine |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111434302A (en) | 2020-07-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109998437B (en) | Method for determining cleaning mode and dish-washing machine | |
| CN108814501B (en) | Washing control optimization method and device, electronic equipment and storage medium | |
| CN110367898B (en) | Method for determining cleaning mode and dish-washing machine | |
| CN106292368B (en) | A kind of sink and its intelligent control method | |
| CN111434302B (en) | Intelligent recommendation method and system for cleaning curve of dish washer | |
| CN108681283B (en) | Intelligent cooking method and system | |
| CN110811460B (en) | Method and system for determining cleaning mode | |
| WO2015176579A1 (en) | Specification matching system and specification matching method of intelligent cooking products | |
| CN111007744A (en) | Automatic cooking system | |
| CN110007608B (en) | Device for controlling related device based on operation condition, scheduling robot and server | |
| CN112017754A (en) | Menu recommendation method and device, range hood and storage medium | |
| WO2018192429A1 (en) | Control method for smart home system | |
| CN107703780A (en) | Control method, device and system of cooking appliance | |
| CN111839397B (en) | Intelligent preheating method and device based on washing equipment | |
| CN112089374A (en) | Control method for dish-washing machine and dish-washing machine control system | |
| CN113793486B (en) | Pesticide residue processing method, pesticide residue processing device, computer equipment and storage medium | |
| CN111603117B (en) | Dish washing powder intelligent control method and system matched with washing curve for dish washing machine | |
| CN110893091A (en) | Method and device for placing tableware | |
| CN111488383B (en) | Intelligent cleaning curve recommendation method for dish washing machine | |
| CN111493776A (en) | Tableware washing method and system | |
| CN113243866A (en) | Dish-washing machine control method and system of linkage cooking equipment | |
| CN108255090A (en) | A kind of control method and device | |
| CN108093049A (en) | A kind of smart home regulator control system based on message push | |
| CN114995200A (en) | Linkage control method and system for intelligent cooking equipment and dish washing machine | |
| CN116206251A (en) | Dishwasher control method, dishwasher control device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |