CN112095290B - Intelligent washing system - Google Patents
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- CN112095290B CN112095290B CN201910450459.4A CN201910450459A CN112095290B CN 112095290 B CN112095290 B CN 112095290B CN 201910450459 A CN201910450459 A CN 201910450459A CN 112095290 B CN112095290 B CN 112095290B
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- 238000005406 washing Methods 0.000 title claims abstract description 276
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000008569 process Effects 0.000 claims abstract description 6
- 239000003795 chemical substances by application Substances 0.000 claims description 39
- 238000004458 analytical method Methods 0.000 claims description 15
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 230000005611 electricity Effects 0.000 claims description 5
- 239000003599 detergent Substances 0.000 claims description 4
- 238000005265 energy consumption Methods 0.000 claims description 4
- 239000013589 supplement Substances 0.000 claims description 4
- 230000001502 supplementing effect Effects 0.000 claims description 2
- 238000004891 communication Methods 0.000 description 9
- 230000018044 dehydration Effects 0.000 description 4
- 238000006297 dehydration reaction Methods 0.000 description 4
- 230000007547 defect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000004851 dishwashing Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000000153 supplemental effect Effects 0.000 description 1
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Abstract
The application discloses an intelligent washing system, which comprises a washing device and a cloud server connected with the washing device; after the washing operation is finished, the washing device sends washing parameters involved in the washing operation process to the cloud server; the cloud server generates a washing report by analyzing the washing parameters, and a user invokes the washing report to obtain the content of the washing report; the washing report includes at least a washing time zone in which a washing operation is recommended to be performed next time. The application provides an intelligent washing system, which obtains an optimal washing scheme according to the use habit of a user and the environment of the user by comparing and analyzing the washing parameters of a washing device in washing operation, so that the user experience in the washing process is better, and the energy or cost consumed by the washing device is the lowest under the optimized washing scheme.
Description
Technical Field
The application belongs to the technical field of household appliances, and particularly relates to an intelligent washing system.
Background
With the continuous improvement of living standard, various washing machines, dish washing machines and other electrical appliances bring great convenience to the life of people, with the continuous progress of scientific technology, the household appliances are also intelligent, and now, a plurality of household appliances support the function of the Internet of things, and users can remotely control the household appliances through mobile phones, and with the development of the technology of the Internet of things, the technology of the Internet of things has started to continuously change the life style and consumption habit of people. The development of the internet of things washing machine is quite rapid, and the application of the internet of things washing system is also unprecedented. The existing washing machine has the defects that after the selection program waits for the washing to be completed, relevant washing information such as rinsing times, washing rotating speed, washing water temperature, detergent and softener input amount, water consumption, electricity consumption and the like in the washing information can only be displayed to a user, and an optimized washing scheme can not be provided for the user according to surrounding actual conditions.
The Chinese patent with the application number of CN201810496279.5 discloses a method for optimizing the washing effect of an intelligent washing machine according to the use habit of a user, which is applied to the intelligent washing machine with a washing machine controller, a wireless communication module, a wireless signal generating device, a cloud server and a user communication terminal, wherein the wireless signal generating device generates a wireless network, the washing machine is connected with the wireless network through the wireless communication module, the wireless communication connection between the intelligent washing machine and the cloud server as well as the wireless communication connection between the intelligent washing machine and the user communication terminal are realized, and a client App in wireless communication connection with the washing machine controller is arranged on the user communication terminal.
The Chinese patent with the application number of CN201611234450.2 discloses an intelligent washing system, a cloud server and a communication module based on the Internet of things, operation data of a washing machine and corresponding states and loss of all parts of the washing machine are timely obtained and accumulated, big data analysis is carried out, corresponding operation data and/or states of the parts of the washing machine when the washing machine is high in loss are counted, the reason of the washing machine loss can be timely, effectively and accurately positioned, a scientific low-loss optimal operation mode is provided for a user, electricity consumption, water consumption and machine loss generated in the process of using the washing machine by the user are reduced, and the service life of the washing machine is prolonged while energy is saved.
Although the prior art proposes a washing machine setting intelligent system, and the user can grasp the condition of the washing machine in real time by feeding back the corresponding parameters of the washing machine in use, in practical application, the prior art cannot propose an optimal washing scheme for the user according to the habit of the user, so that the user can finish washing operation under the conditions of minimum energy consumption and minimum cost in the use process.
Therefore, it is necessary to improve the defects and drawbacks of the prior art, and provide an intelligent washing system, by comparing and analyzing the washing parameters of the washing device in the washing operation, the optimal washing scheme according to the use habit of the user and the environment is obtained, so that the user experience in the washing process is better, and meanwhile, under the optimized washing scheme, the energy or cost consumed by the washing device is the lowest, and by monitoring the stock quantity of the laundry treatment agent, the user is timely reminded to supplement the laundry treatment agent, and the normal use of the washing device is ensured.
The present application has been made in view of this.
Disclosure of Invention
The technical problem to be solved by the application is to overcome the defects of the prior art and provide a use method of an intelligent washing device which can overcome the problems or at least partially solve the problems.
In order to solve the technical problems, the application adopts the basic conception of the technical scheme that: an intelligent washing system, comprising
The washing device and the cloud server are connected with the washing device;
after the washing operation is finished, the washing device sends washing parameters involved in the washing operation process to the cloud server;
the cloud server generates a washing report by analyzing the washing parameters, and a user invokes the washing report to obtain the content of the washing report;
the washing report includes at least a washing time zone in which a washing operation is recommended to be performed next time.
The cloud server compares and analyzes the washing parameters of the washing device in washing operation with the washing parameters of historical washing to analyze the washing time area for next washing operation;
in one embodiment, the cloud server may choose to retrieve the washing parameters in a historical wash any of a number of times, by week, by month, by quarter, and by year.
In addition, the cloud server compares and analyzes the power consumption of the washing device in the washing operation with the power consumption of the historical washing, and analyzes the washing time region for the next washing operation;
in one embodiment, the comparison analysis includes an estimation of total power consumption during the same period and a ratio of power consumption to total power consumption in the washing operation;
in one embodiment, the wash time zone is the least energy consuming and/or the least costly time zone is created.
Further, the analysis of the washing time zone comprises comparison analysis according to the power consumption of the washing device in washing operation and the total power consumption of the zone where the simultaneous period is located.
Further, the area comprises all power consumption devices connected with the cloud server or an area within a set range centering on a set position;
in one embodiment, the cloud server may adjust the set position and the set range, thereby implementing adjustment of the area range;
in one embodiment, the set range includes any one or a combination of a building, community, and set mileage where the set location is located.
Still further, when the washing report suggests the next washing time zone for performing the washing operation, the cloud server pushes information suggesting washing.
Meanwhile, the washing report at least further comprises a replenishment time zone for suggesting that the next laundry treatment agent replenishment is performed;
in one embodiment, the cloud server analyzes the replenishment time zone for next replenishment of the laundry treatment agent according to comparison analysis of the laundry treatment agent addition amount and the inventory amount of the laundry treatment agent in a washing operation of the washing device;
in one embodiment, the parameters of the supplemental time zone analysis include at least an amount of the laundry treatment agent added, a frequency of use of the laundry treatment agent, and an inventory amount of the laundry treatment agent.
Further, the cloud server continuously monitors the stock quantity of the laundry treatment agent, and updates the stock quantity of the laundry treatment agent after the laundry treatment agent is replenished;
in one embodiment, the laundry treatment comprises at least a detergent and a softener.
Further, the cloud server pushes information suggesting to supplement the laundry treatment agent when the next time the washing report suggests the supplementary time zone for performing the washing operation.
And the washing report at least further includes a washing program, a rinsing time, a rinsing number, a washing temperature, a dehydration intensity, a load, a washing time, a dehydration eccentricity, a power consumption, a water consumption, a number of times of use of each washing mode, a total number of times of washing by the washing apparatus, and a number of times of washing in the month.
After the technical scheme is adopted, compared with the prior art, the application has the following beneficial effects: according to the application, through comparing and analyzing the washing parameters of the washing device in the washing operation, the optimal washing scheme according to the use habit of the user and the environment is obtained, so that the user experience in the washing process is better, meanwhile, under the optimized washing scheme, the energy or cost consumed by the washing device is the lowest, and the user is timely reminded of supplementing the clothes treating agent by monitoring the stock quantity of the clothes treating agent, so that the normal use of the washing device is ensured.
The following describes the embodiments of the present application in further detail with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application. It is evident that the drawings in the following description are only examples, from which other drawings can be obtained by a person skilled in the art without the inventive effort.
In the drawings:
FIG. 1 is a schematic flow chart of a method of using the intelligent washing device of the present application.
It should be noted that these drawings and the written description are not intended to limit the scope of the inventive concept in any way, but to illustrate the inventive concept to those skilled in the art by referring to the specific embodiments.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions in the embodiments will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present application, and the following embodiments are used to illustrate the present application, but are not intended to limit the scope of the present application.
In the description of the present application, it should be noted that the directions or positional relationships indicated by the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1
As shown in fig. 1, the intelligent washing system according to the embodiment includes a washing device and a cloud server connected to the washing device, and after the washing operation is finished, the washing device sends washing parameters involved in the washing operation process to the cloud server; the cloud server generates a washing report by analyzing the washing parameters, and a user invokes the washing report to obtain the content of the washing report; the washing report at least includes a washing time area for suggesting the next washing operation, in this embodiment, the washing time area refers to a future time period or a time point, for example, may be five to eight pm points every Saturday, may be three to friday points every week, or may be a combination of the two, and the user may learn the time of the next washing through a display device on the washing device or a handheld terminal or other devices capable of retrieving the washing report, and schedule corresponding to-be-processed items according to the time.
Example two
As shown in fig. 1, in the intelligent washing system according to the first embodiment, the cloud server analyzes the washing time zone for the next washing operation according to the comparison analysis of the washing parameters of the washing device in the washing operation and the washing parameters of the history washing, specifically, by comparing the washing parameters of the current washing operation with the washing parameters of the history washing, statistics is performed on some variable parameters, such as water consumption, power consumption, type of washing clothes, season, adopted washing mode, and use habit of the user, for example, the user likes to perform the washing operation in the evening or on the weekend, and then the parameters are listed in the reference, but not limited to the above parameters, and a comprehensive washing time zone is obtained, which is an optimal washing scheme from the comprehensive optimal washing scheme of energy consumption, equipment depreciation, washing mode, season, type of clothes to be washed, user habit, and the like.
Example III
As shown in fig. 1, the present embodiment is based on the second embodiment, and the user may choose to take the washing parameters in the history washing according to any one of times, weeks, months, quarters and years, specifically, the user may define the length of the history washing, and the washing device may make a washing report according to factors such as the use habit of the user, the type of the washed clothes, and seasons, where the use habit of the user may change itself due to some reason, or want to try a new way, the type of the new clothes, or consider that the washing scheme planned by the washing device is not appropriate, based on the foregoing reasons, the user may adjust the reference coefficient of the history washing, that is, the source of the washing parameters in the history washing, and the user may set parameters such as the type of the clothes, the season where the clothes is located, the preference of the washing during the week, or the weekend, the day, or night, and further implement the manual intervention on the more satisfactory washing scheme, and implement the optimization of the washing scheme.
Example IV
As shown in fig. 1, the cloud server according to the present embodiment is based on the second or third embodiment, and analyzes the washing time zone for performing the washing operation next time according to the comparison between the power consumption of the washing device in the washing operation and the power consumption of the historical washing operation, wherein the comparison refers to how much power is consumed in the washing operation, for example, the washing device takes the time according to the month as the reference time, the time point of each washing is different in one natural month, the power consumption of each washing is different, the washing device obtains the optimal washing time zone according to the metering statistics of the power consumption of each washing, and the washing time zone is listed as the washing time zone and recorded in the washing report.
Example five
As shown in fig. 1, the analysis of the washing time region according to the present embodiment based on any one of the first to fourth embodiments of the present embodiment includes a comparison analysis of the power consumption of the washing device in the washing operation and the total power consumption of the region where the same time period is located, wherein the comparison analysis includes an estimation of the power consumption of the region where the power consumption is located and a ratio of the power consumption of the washing operation in the total power consumption because the power consumption peak and trough of the power grid and the power consumption in different time periods are different; by analysing the estimation of the total power consumption, it is possible to analyze whether the time is at a peak or a trough at this time, and to know whether the washing operation is an optimal washing time for the duty ratio of the power consumption in the washing operation to the total power consumption, for example, when the power consumption of the washing operation is high or within a certain range in the total power consumption, the time period is the optimal washing time, and the time period may be classified as a washing time region, and in general, the washing time region is the time region with the least power consumption and/or the lowest cost is generated.
Example six
As shown in fig. 1, the present embodiment is based on the fifth embodiment, and the area in which the present embodiment is located includes all power consumption devices connected to the cloud server or an area within a set range centered on a set position; the user can adjust the set position and the set range, so that the adjustment of the area range is realized; the setting range comprises any one or a combination of a plurality of buildings, communities and setting mileage where the setting position is located.
Specifically, in the application, the cloud server may connect with all the electric appliances with a home as a unit, obtain the use condition of each electric appliance, further obtain corresponding data, and push the information of suggesting washing to the user when the cloud server is in the washing time region of the next washing operation suggested by the washing report according to the use habit or preference of the user.
Example seven
As shown in fig. 1, this embodiment is based on any one of the above embodiments one to six, and the washing report of this embodiment further includes at least a replenishment time zone for suggesting that the next replenishment of the laundry treatment agent is performed; the cloud server performs comparison and analysis according to the addition amount of the laundry treatment agent and the stock amount of the laundry treatment agent in the washing operation of the washing device, and analyzes the replenishment time zone for replenishing the laundry treatment agent next time; the parameters of the supplementary time area analysis include at least an addition amount of the laundry treating agent, a frequency of use of the laundry treating agent, and a stock amount of the laundry treating agent.
Example eight
As shown in fig. 1, the cloud server of the present embodiment continuously monitors the inventory of the laundry treatment agent based on the seventh embodiment, and updates the inventory of the laundry treatment agent after the user supplements the laundry treatment agent; and when the washing report recommended next washing operation is in the supplementary time area, the cloud server pushes information of recommended supplementary laundry treatment agent to a user.
Example nine
The present embodiment is based on the seventh embodiment or the eighth embodiment, and the laundry treatment agent according to the present embodiment at least includes a detergent and a softener.
Examples ten
As shown in fig. 1, the present embodiment is based on any one of the first to ninth embodiments, and the washing report further includes at least a washing program, a rinsing time, a rinsing frequency, a washing temperature, a dehydration strength, a load, a washing time, a dehydration eccentricity, a power consumption, a water consumption, a number of times of use of each washing mode, a total number of times of washing by the washing apparatus, and a number of times of washing in the month.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the application may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features contained in other embodiments, but not others, combinations of features of different embodiments are equally meant to be within the scope of the application and form different embodiments. For example, in the above embodiments, those skilled in the art can use the above embodiments in combination according to known technical solutions and technical problems to be solved by the present application.
It should be noted that the above-mentioned embodiments illustrate rather than limit the application, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names.
The foregoing description is only illustrative of the preferred embodiment of the present application, and is not to be construed as limiting the application, but is to be construed as limiting the application to any and all simple modifications, equivalent variations and adaptations of the embodiments described above, which are within the scope of the application, may be made by those skilled in the art without departing from the scope of the application.
Claims (15)
1. An intelligent washing system, comprising
The washing device and the cloud server are connected with the washing device;
the method is characterized in that: after the washing operation is finished, the washing device sends washing parameters involved in the washing operation process to the cloud server;
the cloud server generates a washing report by analyzing the washing parameters;
the washing report includes a washing time zone in which a washing operation is suggested to be performed next time;
the washing report includes a washing time zone in which a washing operation is recommended next time, including: the cloud server obtains the comprehensive washing time area by counting and comparing parameters of water consumption, power consumption, types of washed clothes, seasons, adopted washing modes and using habits of users item by item;
the cloud server obtains the comprehensive washing time region by carrying out statistics and item-by-item comparison on parameters of water consumption, power consumption, types of washed clothes, seasons, adopted washing modes and use habits of users, and the cloud server comprises the following steps:
the cloud server compares and analyzes the power consumption of the washing device in the washing operation with the power consumption of the historical washing, and analyzes the washing time region for the next washing operation;
if the power consumption of the washing operation is higher than the total power consumption, the time period where the washing operation is located is set as the washing time area;
the washing time area is an optimal washing scheme comprehensively obtained according to energy consumption, washing modes, seasons, types of clothes to be washed and habits of users;
the comparison analysis comprises estimation of the power consumption of the area and the ratio of the power consumption in the washing operation to the total power consumption;
the region comprises all power consumption equipment connected with the cloud server;
the estimation of the power consumption of the region includes an estimation of whether the region is in a peak or a trough.
2. An intelligent washing system according to claim 1, wherein:
the cloud server may select any one of a number of times, a week, a month, a quarter, and a year to retrieve the washing parameters in the history washing.
3. An intelligent washing system according to claim 1, wherein:
the comparison analysis comprises the estimation of the total electricity consumption in the same time period and the ratio of the electricity consumption in the washing operation to the total electricity consumption.
4. An intelligent washing system according to claim 1, wherein:
the washing time zone is the time zone with the least energy consumption.
5. An intelligent washing system according to claim 1, wherein:
the region includes a region within a set range centered on the set position.
6. An intelligent washing system according to claim 5, wherein:
the cloud server can adjust the set position and the set range, and further adjust the area range.
7. An intelligent washing system according to claim 6, wherein:
the setting range comprises any one or a combination of a plurality of buildings, communities and setting mileage where the setting position is located.
8. An intelligent washing system according to any one of claims 1-7, wherein:
and when the washing time zone of the next washing operation recommended by the washing report is in, pushing information recommended to be washed by the cloud server.
9. An intelligent washing system according to any one of claims 1-7, wherein:
the wash report also includes at least a replenishment time zone in which a next laundry treatment agent replenishment is recommended.
10. An intelligent washing system according to claim 9, wherein:
and the cloud server performs comparison analysis according to the addition amount of the clothes treating agent and the stock amount of the clothes treating agent in the washing operation of the washing device, and analyzes the replenishment time zone for replenishing the clothes treating agent next time.
11. An intelligent washing system according to claim 10, wherein:
the parameters of the supplementary time area analysis include at least an addition amount of the laundry treating agent, a frequency of use of the laundry treating agent, and a stock amount of the laundry treating agent.
12. An intelligent washing system according to claim 10, wherein:
the cloud server continuously monitors the stock quantity of the clothes treating agent, and updates the stock quantity of the clothes treating agent after the clothes treating agent is replenished.
13. An intelligent washing system according to claim 12, wherein:
the laundry treatment comprises at least a detergent and a softener.
14. An intelligent washing system according to claim 9, wherein:
and when the next time of the washing report suggestion is in the time zone for supplementing the clothes treating agent, the cloud server pushes information for suggesting to supplement the clothes treating agent.
15. An intelligent washing system according to any one of claims 1-7, wherein:
the washing report at least further includes a washing program, a rinsing time, a rinsing number, a washing temperature, a dehydrating strength, a load, a washing time, a dehydrating eccentricity, a power consumption, a water consumption, a number of times of use of each washing mode, a total number of times of washing by the washing device, and a number of times of washing in the current month.
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| EP3088593A1 (en) * | 2015-04-27 | 2016-11-02 | The Procter and Gamble Company | Method for improving washing machine performance |
| KR102450182B1 (en) * | 2016-01-05 | 2022-10-04 | 엘지전자 주식회사 | Laundry treating apparatus and mehtod for supplying washing agent thereof |
| JP2017127339A (en) * | 2016-01-18 | 2017-07-27 | 日立アプライアンス株式会社 | Washing machine |
| CN106149288A (en) * | 2016-09-08 | 2016-11-23 | 北京小米移动软件有限公司 | Intelligence clothes washing method and device |
| CN106868793B (en) * | 2017-02-17 | 2019-05-21 | 无锡小天鹅股份有限公司 | Washing machine and intelligence laundry prompt system, method and cloud server |
| CN108103726A (en) * | 2018-01-10 | 2018-06-01 | 杭州禾声科技有限公司 | A kind of interactive intelligent terminal control washing machine and method |
| CN108060548B (en) * | 2018-02-09 | 2020-01-21 | 盐城古卓科技有限公司 | Washing machine system based on big data and washing control method |
| CN108796986A (en) * | 2018-05-22 | 2018-11-13 | 佛山市云米电器科技有限公司 | A method of according to user's use habit Intelligent Optimal washing of drum type washing machine effect |
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| WO2016201908A1 (en) * | 2015-06-17 | 2016-12-22 | 青岛海尔洗衣机有限公司 | Intelligent laundry control system and control method |
| CN108755001A (en) * | 2018-05-22 | 2018-11-06 | 佛山市云米电器科技有限公司 | A method of washing effect is optimized according to the water quality of washing machine region |
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Address after: 266101 Haier Industrial Park, 1 Haier Road, Laoshan District, Shandong, Qingdao Applicant after: QINGDAO HAIER WASHING MACHINE Co.,Ltd. Applicant after: Haier Smart Home Co., Ltd. Address before: 266101 Haier Industrial Park, 1 Haier Road, Laoshan District, Shandong, Qingdao Applicant before: QINGDAO HAIER WASHING MACHINE Co.,Ltd. Applicant before: QINGDAO HAIER JOINT STOCK Co.,Ltd. |
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Effective date of registration: 20231020 Address after: 300356 No.6, Keda 4th Road, Balitai Town, Jinnan District, Tianjin Applicant after: Tianjin Haier washing appliance Co.,Ltd. Applicant after: Haier Smart Home Co., Ltd. Address before: 266101 Haier Industrial Park, 1 Haier Road, Laoshan District, Shandong, Qingdao Applicant before: QINGDAO HAIER WASHING MACHINE Co.,Ltd. Applicant before: Haier Smart Home Co., Ltd. |
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