WO2016145713A1 - 洗衣机及其控制方法和洗衣机系统 - Google Patents

洗衣机及其控制方法和洗衣机系统 Download PDF

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Publication number
WO2016145713A1
WO2016145713A1 PCT/CN2015/077568 CN2015077568W WO2016145713A1 WO 2016145713 A1 WO2016145713 A1 WO 2016145713A1 CN 2015077568 W CN2015077568 W CN 2015077568W WO 2016145713 A1 WO2016145713 A1 WO 2016145713A1
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Prior art keywords
water quality
washing machine
water
cloud server
quality data
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PCT/CN2015/077568
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English (en)
French (fr)
Inventor
朱珍珍
班永
王立东
郁昉
曹剑锋
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无锡小天鹅股份有限公司
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Publication of WO2016145713A1 publication Critical patent/WO2016145713A1/zh

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    • D—TEXTILES; PAPER
    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F34/00—Details of control systems for washing machines, washer-dryers or laundry dryers
    • D06F34/04—Signal transfer or data transmission arrangements
    • D06F34/05—Signal transfer or data transmission arrangements for wireless communication between components, e.g. for remote monitoring or control
    • D—TEXTILES; PAPER
    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2103/00—Parameters monitored or detected for the control of domestic laundry washing machines, washer-dryers or laundry dryers
    • D06F2103/20—Washing liquid condition, e.g. turbidity
    • D—TEXTILES; PAPER
    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F2105/00—Systems or parameters controlled or affected by the control systems of washing machines, washer-dryers or laundry dryers
    • D06F2105/52—Changing sequence of operational steps; Carrying out additional operational steps; Modifying operational steps, e.g. by extending duration of steps
    • D—TEXTILES; PAPER
    • D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
    • D06F—LAUNDERING, DRYING, IRONING, PRESSING OR FOLDING TEXTILE ARTICLES
    • D06F33/00—Control of operations performed in washing machines or washer-dryers 
    • D06F33/30—Control of washing machines characterised by the purpose or target of the control 
    • D06F33/32—Control of operational steps, e.g. optimisation or improvement of operational steps depending on the condition of the laundry

Definitions

  • the invention relates to the technical field of electrical appliances, and in particular to a control method of a washing machine, a washing machine and a washing machine system.
  • the water quality distribution varies greatly from region to region. For example, water hardness in some areas is 200-400 PPM, while water hardness in some areas is below 50 PPM. Calcium and magnesium ions in hard water interact with substances in detergents. The metal salt is formed to deactivate the surfactant of the detergent, thereby reducing the washing performance.
  • the pH distribution of water in different regions is also quite different, generally between 6-10, but most of the detergents are alkaline. If the water is too acidic, it will affect the washing effect of the detergent. When the rinsing residue is alkaline, it is easy to damage clothing and skin. It can be seen that water quality has a great influence on the washing of clothes.
  • the present invention aims to solve at least one of the above technical problems at least to some extent. To this end, the present invention needs to provide a control method for a washing machine.
  • the control method of the washing machine can improve the washing effect by considering the influence of water quality on laundry washing.
  • the present invention also proposes a washing machine and a washing machine system using the control method.
  • an embodiment of the present invention provides a control method for a washing machine, where the control method includes the following steps: a washing machine establishes a network connection with a cloud server, and the cloud server acquires a geographical location where the washing machine is located; The water washing machine obtains water quality data corresponding to the geographical location in the cloud server, wherein the cloud server receives water detection information of water appliances of a plurality of geographical locations, and obtains water quality data of each geographical location according to the water detection information; The washing machine determines a laundry parameter based on the water quality data; and the washing machine adjusts a laundry program according to the laundry parameter, and controls the washing machine to operate after the adjusted laundry program.
  • the washing machine is connected to the cloud server, and the washing machine obtains the water quality data of the geographical location, considers the influence of the water quality of the washing machine on the laundry, and adjusts the washing procedure according to the water quality data. It can improve the washing effect of the clothes and improve the intelligence of the washing machine.
  • the cloud server communicates with the water appliances of multiple geographical locations, and obtains the water quality data of each geographical location according to the water detection information, and the real-time performance is strong, and the data is relatively more accurate. .
  • determining, by the washing machine, the laundry parameter according to the water quality data specifically includes: the washing machine root The water quality level is determined according to the water quality data; the washing machine obtains a laundry parameter corresponding to the water quality level according to the water quality level.
  • the determining, by the washing machine, the water quality level according to the water quality data comprises: determining whether the water quality data is less than a first threshold; if the water quality data is less than the first threshold, determining that the water quality is a first-grade water quality; If the water quality data is greater than the first threshold and less than the second threshold, determining that the water quality is a secondary water quality; if the water quality data is greater than the second threshold and less than a third threshold, determining that the water quality is three Level water quality; and if the water quality data is greater than the third threshold, determining that the water quality is a fourth grade water quality.
  • the water quality data includes water hardness or water pH value.
  • another embodiment of the present invention further provides a washing machine, the washing machine comprising: a communication module, the communication module is configured to establish a network connection with a cloud server, and the cloud server acquires a geographical location of the washing machine a location, and the communication module receives water quality data corresponding to the geographic location sent by the cloud server, where the cloud server receives water detection information of a plurality of geographically located water appliances, and obtains according to the water detection information Water quality data for each geographic location; a control module that determines laundry parameters based on the water quality data, adjusts a laundry program based on the laundry parameters, and controls the washing machine to operate after the adjusted laundry program.
  • the washing machine is networked with the cloud server through the communication module, and then the communication module receives the water quality data of the geographical location of the washing machine, and considers the influence of the water quality of the washing machine on the laundry, and the control module adjusts the laundry according to the water quality data.
  • the program can improve the washing effect of the clothes, and the washing machine is more intelligent.
  • the cloud server communicates with the water appliances in multiple geographical locations, and obtains the water quality data of each geographical location according to the water detection information, and the real-time performance is strong, and the data is relatively more accurate. .
  • control module is further configured to determine a water quality level according to the water quality data, and determine a laundry parameter corresponding to the water quality level according to the water quality level.
  • the washing machine further includes a detergent dispensing device that performs detergent dispensing according to the amount of detergent delivered after the control module is adjusted.
  • a further embodiment of the present invention further provides a washing machine system, the washing machine system comprising: a cloud server, the cloud server receiving water detection information of a plurality of geographically located water appliances, and according to the water The detection information obtains water quality data of each geographical location; and the washing machine of the above aspect, wherein the washing machine communicates with the cloud server.
  • the washing machine is connected to the cloud server, and the washing machine obtains the water quality data of the geographical location, considers the influence of the water quality of the washing machine on the laundry, and adjusts the washing program according to the water quality data. Improve the washing effect of the clothes and improve the intelligence of the washing machine.
  • the cloud server communicates with the water appliances of multiple geographical locations, and obtains various geographical locations according to the water detection information. The water quality data is real-time and the data is relatively more accurate.
  • the water appliance includes: a water quality sensor for detecting water quality of a geographical location of the water appliance and generating the water detection information; and a communication unit that detects the water by the communication unit Data is sent to the cloud server.
  • FIG. 1 is a flow chart of a control method of a washing machine in accordance with one embodiment of the present invention
  • FIG. 2 is a flow chart of a control method of a washing machine in accordance with an embodiment of the present invention
  • FIG. 3 is a flow chart of a control method of a washing machine in accordance with another embodiment of the present invention.
  • FIG. 4 is a functional block diagram of a washing machine in accordance with one embodiment of the present invention.
  • FIG. 5 is a functional block diagram of a washing machine in accordance with another embodiment of the present invention.
  • FIG. 6 is a block diagram of a washing machine system in accordance with still another embodiment of the present invention.
  • FIG. 7 is a block diagram of a washing machine system in accordance with yet another embodiment of the present invention.
  • the washing machine 100 and the cloud server 200 are connected to each washing machine 100 and the cloud server 200.
  • Communication module 10 and control module 20 detergent dispensing device 30,
  • Water appliance 02 water quality sensor 021 and communication unit 022.
  • the structure of the first feature described below "on" the second feature may include embodiments in which the first and second features are formed in direct contact, and may include additional features formed between the first and second features. Embodiments such that the first and second features may not be in direct contact.
  • some improvements have also been made in some washing machine solutions, such as installing sensors on the washing machine to indirectly detect water quality data, such as installing a conductivity sensor, and determining the hardness of the water by detecting the conductivity of the water. Although it can reflect local water quality conditions in real time, it increases the production cost of the washing machine.
  • the water quality data of different regions can be stored in the washing machine, and the washing machine searches for the corresponding numerical data through the geographical location selected by the user.
  • the water quality data obtained by the method has poor real-time performance, and the data update rate is low, which is prone to error.
  • FIG. 1 is a flow chart of a control method of a washing machine in accordance with an embodiment of the present invention. As shown in FIG. 1, the control method of the washing machine includes the following steps:
  • the washing machine establishes a network connection with the cloud server, and the cloud server obtains the geographical location of the washing machine.
  • the washing machine of the embodiment of the present invention includes a communication module, such as a WIFI module, through which a network connection can be established with the cloud server. After the network connection is established, the cloud server obtains the IP address assigned by the washing machine, thereby determining the geographic location of the washing machine.
  • a communication module such as a WIFI module
  • the washing machine obtains water quality data of a geographical location of the corresponding washing machine in the cloud server, wherein the cloud server receives water detection information of the water appliances of the plurality of geographical locations, and obtains water quality data of each geographical location according to the water detection information.
  • the cloud server stores water quality data of a plurality of geographic locations, such as water hardness and water pH.
  • Cloud The server and the water appliances in various geographical locations, such as a water purifier and a water heater, obtain a dishwasher for communication, wherein the water appliance includes a water quality sensor, and the water quality sensor is used to detect the water quality of the water appliance and generate water detection information. Further, the water appliance sends the water detection information to the cloud server, so that the cloud server obtains the water quality data according to the water detection data fed back by the water appliance.
  • the local water quality is detected by its own water quality sensor and detection data is generated, and then passed through a communication unit integrated on the water home appliance such as a wifi channel.
  • the water quality detection information is uploaded to the cloud server, and the cloud server determines the source of the water quality detection information according to the IP address of the water appliance that is requested, and records the current water quality information and the corresponding area in the database table, and passes through various regions of the country.
  • the real-time water quality information is uploaded, and the database table of the cloud server continuously summarizes the latest water quality data of each area.
  • the water quality data of the current location of the washing machine can be directly synchronized to the washing machine through the network by means of the water quality database table of the cloud server for subsequent analysis and processing of the washing machine.
  • the cloud server can obtain water quality data in the above manner, and the real-time performance is strong, and the water quality data is relatively more accurate.
  • the washing machine determines the laundry parameter according to the water quality data.
  • the washing machine judges the water quality level based on the water quality data.
  • the water quality is divided into four levels of water quality by setting a threshold value of the water quality data, and the washing machine compares the obtained water quality data with each threshold value, specifically, whether the water quality data is less than the first threshold value, if the water quality If the water quality data is greater than the first threshold and less than the second threshold, the water quality is determined to be the secondary water quality; if the water quality data is greater than the second threshold and less than the third threshold, The water quality is Grade III water quality; if the water quality data is greater than the third threshold, the water quality is judged to be Grade IV water quality.
  • the water quality data may include, for example, water hardness, water PH quality.
  • the first threshold, the second threshold, and the third threshold in the embodiment may be 100 PPM, 300 PPM, and 500 PPM, respectively.
  • the water quality data indicates the water PH value
  • the first threshold in this embodiment may be 6.5, 8, and 9.5, respectively.
  • the laundry parameters corresponding to the water quality level are determined according to the water quality level. Different grades of water quality correspond to different washing parameters. It can be understood that empirical data can be obtained through experiments for different grades of water quality and their corresponding washing parameters, and empirical data can be saved. After the washing machine obtains the current geographical location water quality data, the water quality level is determined by comparing the water quality data with the set threshold value, and then the corresponding laundry parameters such as the automatic detergent delivery amount, the number of rinsing times, and the washing time are determined according to the water quality level.
  • the washing machine adjusts the washing program according to the washing parameter, and controls the washing machine to adjust the washing program to run.
  • the washing machine obtains a local water hardness of 340 PPM
  • the washing parameters the amount of detergent should be 1.15 times of the default value m, the number of rinsing times is increased by one time, the washing time is increased by 10 minutes, and the washing machine adjusts the corresponding parameters in the washing program.
  • the automatic dispensing system will deliver a detergent amount of 1.15m.
  • the number of rinses and the wash time in the selected washing program are also increased accordingly.
  • control method of the washing machine in the embodiment of the present invention considers the water quality of different regions, and according to the local water quality data of the washing machine, and then intelligently adjusts the washing program, the laundry washing effect can be improved, and the washing machine operation is more intelligent.
  • Embodiment 1 is a flow chart for adjusting the amount of detergent to be dispensed and the number of rinses according to water hardness data of water, and the control method of the washing machine comprises the following steps:
  • L is the water quality data such as water hardness or PH value
  • L1, L2, and L3 are the water quality classification thresholds. If the water quality data L is less than L1, it can be set as the first grade water quality, and between L1 and L2, it is the secondary water quality. It is classified into three grades of water between L2 and L3, and is classified into four grades of water by L3. Different grades of water quality correspond to different washing parameters.
  • step S40 is performed, otherwise step S50 is performed.
  • the detergent dosage is m*0.85, and the number of rinsing is reduced by one.
  • step S60 is performed, otherwise step S70 is performed.
  • the detergent dosage is m, and the number of rinsing is unchanged.
  • step S80 is performed. Otherwise, that is, if the water hardness data is greater than the third threshold, that is, L3, step S90 is performed.
  • the detergent dosage is m*1.15, and the number of rinsing is increased once.
  • the amount of detergent applied was m*1.3, and the number of rinses was increased twice.
  • Embodiment 2 is a flow chart for adjusting the washing time according to the water hardness data, and the control method of the washing machine comprises the following steps:
  • the washing machine is connected to the network to determine the geographical location.
  • step S140 is performed, otherwise step S150 is performed.
  • the washing time is reduced by 10 minutes.
  • step S160 is performed, otherwise step S170 is performed.
  • step S180 is performed. Otherwise, that is, if the water hardness data is greater than the third threshold, that is, L3, step S190 is performed.
  • the washing time is increased by 10 minutes.
  • the washing time is increased by 20 minutes.
  • control method of the washing machine is connected to the cloud server through the washing machine, and then the washing machine obtains the water quality data of the geographical location, and considers the influence of the water quality of the washing machine on the laundry, and according to The water quality data adjustment laundry program can improve the washing effect of the laundry and improve the intelligence of the washing machine.
  • the cloud server communicates with the water appliances in multiple geographical locations, and obtains the water quality data of each geographical location according to the water detection information, which is strong in real time. The data is relatively more accurate.
  • another aspect of the present invention also provides a washing machine.
  • the washing machine 100 includes a communication module 10 and a control module 20.
  • the communication module 10 for example, a WIFI module, is configured to establish a network connection with the cloud server, and the cloud server obtains a geographical location where the washing machine 100 is located.
  • the cloud server obtains an IP address assigned by the washing machine, and thus can determine the geographic location of the washing machine.
  • the cloud server stores water quality data of a plurality of geographical locations, such as water hardness and water PH value.
  • the cloud server receives water detection signals of water appliances in multiple geographical locations.
  • the water appliance includes a water quality sensor, and the water quality sensor can detect the water quality of the corresponding area and generate water detection information, and then the water appliance transmits the water detection letter to the cloud server through a communication unit such as WIFI, and the cloud server obtains each geographical location according to the water detection information. Water quality data.
  • the cloud server determines the geographic location of the washing machine 100
  • the water quality data of the geographic location is sent to the washing machine 100
  • the communication module 10 receives the water quality data corresponding to the geographic location of the washing machine 100 sent by
  • the control module 20 determines the laundry parameters based on the water quality data.
  • the control module 20 determines the water quality level based on the water quality data. For example, the water quality is divided into four levels of water quality by setting the threshold of the water quality data, and the control module 20 compares the acquired water quality data with each threshold to determine the water quality corresponding to the numerical data. grade.
  • the control module 20 determines a laundry parameter corresponding to the water quality level based on the water quality level. Different grades of water quality correspond to different washing parameters. It can be understood that empirical data can be obtained through experiments for different grades of water quality and their corresponding washing parameters, and empirical data can be saved.
  • control module 20 adjusts the laundry program according to the laundry parameters, and controls the washing machine 100 to adjust the parameters after the laundry program is run. For example, if it is obtained by the communication module 10 that the local water hardness of the washing machine 100 is 340 PPM, the control module 20 determines that the water hardness of the water belongs to the third-grade water quality by comparison with the laundry parameters of the current or default laundry program, wherein the third-grade water quality is compared.
  • Corresponding laundry parameters the detergent dosage should be 1.15 times the default value m, the number of rinsing times is increased once, and the washing time is increased by 10 minutes. Then the control module 20 adjusts the corresponding parameters in the washing program, for example, the detergent amount is adjusted to 1.15m. The number of rinses and the wash time in the selected washing program are also increased accordingly.
  • the washing machine 100 includes a detergent dispensing device 30, and the detergent dispensing device 30 performs detergent dispensing according to the amount of detergent delivered after the control module 20 adjusts. Considering the influence of water quality on the amount of washing machine, and adjusting the amount of washing according to the water quality data, the washing effect can be improved.
  • the washing machine is networked with the cloud server through the communication module, and then the communication module receives the water quality data of the geographical location of the washing machine, and considers the influence of the water quality of the washing machine on the laundry, and the control module adjusts the laundry according to the water quality data.
  • the program can improve the washing effect of the clothes, and the washing machine is more intelligent.
  • the cloud server communicates with the water appliances in multiple geographical locations, and obtains the water quality data of each geographical location according to the water detection information, and the real-time performance is strong, and the data is relatively more accurate. .
  • a further embodiment of the present invention further provides a washing machine system.
  • FIG. 6 is a functional block diagram of a washing machine system in accordance with one embodiment of the present invention.
  • the washing machine system 1000 includes a cloud server 200 and the washing machine 100 of the above embodiment.
  • the washing machine 100 communicates with the cloud server 200.
  • the cloud server 200 stores water quality data of a plurality of geographical locations, and the cloud server 200 receives water detection information of water appliances of a plurality of geographical locations, and obtains water quality of each geographical location according to the water detection information. data.
  • the cloud server 200 can determine the geographic location where the washing machine 100 is located by using the IP address assigned by the washing machine 100, and then retrieve the water quality data corresponding to the geographical location, and send the water quality data to the washing machine 100. Further, the washing machine 100 adjusts the washing program based on the water quality data.
  • the water appliance 02 includes a water quality sensor 021 and a communication unit 022.
  • the water quality sensor 021 is configured to detect the water quality of the geographical location of the water appliance 02 and generate water detection information, and then the water detection information is transmitted through the communication unit 022. Sended to the cloud server 200, the cloud server 200 obtains water quality data of each geographical location according to the water detection information.
  • the washing machine is connected to the cloud server, and the washing machine obtains the water quality data of the geographical location, considers the influence of the water quality of the washing machine on the laundry, and adjusts the washing program according to the water quality data. Improve the washing effect of the clothes and improve the intelligence of the washing machine.
  • the cloud server communicates with the water appliances in multiple geographical locations, and obtains the water quality data of each geographical location according to the water detection information, and the real-time performance is strong, and the data is relatively more accurate.
  • a "computer readable medium” can be any apparatus that can contain, store, communicate, propagate, or transport a program for use in an instruction execution system, apparatus, or device, or in conjunction with such an instruction execution system, apparatus, or device.
  • computer readable media include the following: electrical connections (electronic devices) having one or more wires, portable computer disk cartridges (magnetic devices), random access memory (RAM), Read only memory (ROM), erasable editable read only memory (EPROM or flash memory), fiber optic devices, and portable compact disk read only memory (CDROM).
  • the computer readable medium may even be a paper or other suitable medium on which the program can be printed, as it may be optically scanned, for example by paper or other medium, followed by editing, interpretation or, if appropriate, other suitable The method is processed to obtain the program electronically and then stored in computer memory.
  • portions of the invention may be implemented in hardware, software, firmware or a combination thereof.
  • multiple steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system.
  • a suitable instruction execution system For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or combination of the following techniques well known in the art: having logic gates for implementing logic functions on data signals. Discrete logic circuits, application specific integrated circuits with suitable combinational logic gates, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the above integrated modules can be implemented in the form of hardware or in the form of software functional modules.
  • the integrated modules, if implemented in the form of software functional modules and sold or used as stand-alone products, may also be stored in a computer readable storage medium.
  • the above mentioned storage medium may be a read only memory, a magnetic disk or an optical disk or the like.

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Abstract

一种洗衣机的控制方法，该控制方法包括以下步骤：洗衣机（100）与云端服务器（200）建立网络连接，云端服务器（200）获取所述洗衣机（100）所处的地理位置（S1）；洗衣机（100）获取云端服务器（200）中对应地理位置的水质数据，其中，云端服务器（200）接收多个地理位置的水家电的水检测信息，并根据水检测信息获得各个地理位置的水质数据（S2）；洗衣机（100）根据水质数据确定洗衣参数（S3）；洗衣机（100）根据洗衣参数调整洗衣程序，并控制洗衣机（100）以调整之后的洗衣程序运行（S4）。该控制方法考虑水质对衣物洗涤的影响，可以提高洗净效果。

Description

洗衣机及其控制方法和洗衣机系统 技术领域
本发明涉及电器技术领域，特别涉及一种洗衣机的控制方法、洗衣机和洗衣机系统。
背景技术
一般地，各个地区的水质分布差别较大，例如，一些地区的水硬度在200-400PPM，而一些地区的水硬度在50PPM以下，硬水中的钙、镁离子与洗涤剂中的物质相互作用，生成金属盐，使得洗涤剂的表面活性剂失去活力，从而降低洗涤性能。再例如，不同地区的水的PH值分布也有较大差异，一般在6-10之间，但是，洗涤剂大都偏碱性，若水质过酸，会影响洗涤剂的洗涤效果，若水质偏碱，漂洗残留碱性大，则容易损伤衣物和皮肤。可见水质对衣物的洗涤有很大影响。
发明内容
本发明旨在至少在一定程度上解决上述的技术问题之一。为此，本发明需要提出一种洗衣机的控制方法，该洗衣机的控制方法考虑水质对衣物洗涤的影响，可以提高洗净效果。
本发明还提出一种采用该控制方法的洗衣机和洗衣机系统。
为达到上述目的，本发明的一方面实施例提出一种洗衣机的控制方法，该控制方法包括以下步骤：洗衣机与云端服务器建立网络连接，所述云端服务器获取所述洗衣机所处的地理位置；所述洗衣机获取所述云端服务器中对应所述地理位置的水质数据其中，所述云端服务器接收多个地理位置的水家电的水检测信息，并根据所述水检测信息获得各个地理位置的水质数据；所述洗衣机根据所述水质数据确定洗衣参数；以及所述洗衣机根据所述洗衣参数调整洗衣程序，并控制所述洗衣机以调整之后的洗衣程序运行。
根据本发明实施例的洗衣机的控制方法，通过洗衣机与云端服务器进行联网，进而洗衣机获得所处地理位置的水质数据，考虑洗衣机所处地理位置的水质对洗衣的影响，并根据水质数据调整洗衣程序，可以提高衣物洗净效果，提高洗衣机的智能化，另外，云端服务器与多个地理位置的水家电进行通信，并根据水检测信息获得各个地理位置的水质数据，实时性强，数据相对更加准确。
进一步地，所述洗衣机根据所述水质数据确定洗衣参数具体包括：所述洗衣机根 据所述水质数据判断水质等级；所述洗衣机根据所述水质等级获得与所述水质等级对应的洗衣参数。
更进一步地，所述洗衣机根据所述水质数据判断水质等级具体包括：判断所述水质数据是否小于第一阈值；如果所述水质数据小于所述第一阈值，则判断水质为一级水质；如果所述水质数据大于所述第一阈值且小于第二阈值，则判断所述水质为二级水质；如果所述水质数据大于所述第二阈值且小于第三阈值，则判断所述水质为三级水质；以及如果所述水质数据大于所述第三阈值，则判断所述水质为四级水质。
具体地，所述水质数据包括水硬度或水PH值。
为达到上述目的，本发明另一方面实施例还提出一种洗衣机，该洗衣机包括：通信模块，所述通信模块用于与云端服务器建立网络连接，所述云端服务器获取所述洗衣机所处的地理位置，以及所述通信模块接收所述云端服务器发送的对应所述地理位置的水质数据，其中，所述云端服务器接收多个地理位置的水家电的水检测信息，并根据所述水检测信息获得各个地理位置的水质数据；控制模块，所述控制模块根据所述水质数据确定洗衣参数，并根据所述洗衣参数调整洗衣程序，以及控制所述洗衣机以调整之后的洗衣程序运行。
根据本发明实施例的洗衣机，通过通信模块与云端服务器进行联网，进而通信模块接收洗衣机所处地理位置的水质数据，考虑洗衣机所处地理位置的水质对洗衣的影响，控制模块根据水质数据调整洗衣程序，可以提高衣物洗净效果，洗衣机更加智能化，另外，云端服务器与多个地理位置的水家电进行通信，并根据水检测信息获得各个地理位置的水质数据，实时性强，数据相对更加准确。
进一步地，所述控制模块还用于根据所述水质数据判断水质等级，并根据所述水质等级确定与所述水质等级对应的洗衣参数。
另外，所述洗衣机还包括洗涤剂投放装置，所述洗涤剂投放装置根据所述控制模块调整之后的洗涤剂投放量进行洗涤剂投放。
为达到上述目的，本发明的再一方面实施例还提出一种洗衣机系统，该洗衣机系统包括：云端服务器，所述云端服务器接收多个地理位置的水家电的水检测信息，并根据所述水检测信息获得各个地理位置的水质数据；以及，上述方面实施例的所述的洗衣机，所述洗衣机与所述云端服务器进行通信。
根据本发明实施例的洗衣机系统，通过洗衣机与云端服务器进行联网，进而洗衣机获得所处地理位置的水质数据，考虑洗衣机所处地理位置的水质对洗衣的影响，并根据水质数据调整洗衣程序，可以提高衣物洗净效果，提高洗衣机的智能化，另外，云端服务器与多个地理位置的水家电进行通信，并根据水检测信息获得各个地理位置 的水质数据，实时性强，数据相对更加准确。
进一步地，所述水家电包括：水质传感器，所述水质传感器用于检测所述水家电所处地理位置的水质并生成所述水检测信息；通信单元，通过所述通信单元将所述水检测数据发送至所述云端服务器。
本发明附加的方面和优点将在下面的描述中部分给出，部分将从下面的描述中变得明显，或通过本发明的实践了解到。
附图说明
本发明上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解，其中：
图1为根据本发明的一个实施例的洗衣机的控制方法的流程图；
图2为根据本发明的一个具体实施例的洗衣机的控制方法的流程图；
图3为根据本发明的另一个具体实施例的洗衣机的控制方法的流程图；
图4为根据本发明的一个实施例的洗衣机的功能框图；
图5为根据本发明的另一个实施例的洗衣机的功能框图；
图6为根据本发明的再一个实施例的洗衣机系统的框图；以及
图7为根据本发明的又一个实施例的洗衣机系统的框图。
附图标记
洗衣机系统1000，
洗衣机100和云端服务器200，
通信模块10和控制模块20，洗涤剂投放装置30，
水家电02，水质传感器021和通信单元022。
具体实施方式
下面详细描述本发明的实施例，所述实施例的示例在附图中示出，其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的，仅用于解释本发明，而不能解释为对本发明的限制。
下文的公开提供了许多不同的实施例或例子用来实现本发明的不同结构。为了简化本发明的公开，下文中对特定例子的部件和设置进行描述。当然，它们仅仅为示例，并且目的不在于限制本发明。此外，本发明可以在不同例子中重复参考数字和/或字母。这种重复是为了简化和清楚的目的，其本身不指示所讨论各种实施例和/或设置之间的关系。此外，本发明提供了的各种特定的工艺和材料的例子，但是本领域普通技术人 员可以意识到其他工艺的可应用于性和/或其他材料的使用。另外，以下描述的第一特征在第二特征之“上”的结构可以包括第一和第二特征形成为直接接触的实施例，也可以包括另外的特征形成在第一和第二特征之间的实施例，这样第一和第二特征可能不是直接接触。
在本发明的描述中，需要说明的是，除非另有规定和限定，术语“安装”、“相连”、“连接”应做广义理解，例如，可以是机械连接或电连接，也可以是两个元件内部的连通，可以是直接相连，也可以通过中间媒介间接相连，对于本领域的普通技术人员而言，可以根据具体情况理解上述术语的具体含义。
参照下面的描述和附图，将清楚本发明的实施例的这些和其他方面。在这些描述和附图中，具体公开了本发明的实施例中的一些特定实施方式，来表示实施本发明的实施例的原理的一些方式，但是应当理解，本发明的实施例的范围不受此限制。相反，本发明的实施例包括落入所附加权利要求书的精神和内涵范围内的所有变化、修改和等同物。
针对相关技术中的问题，在一些洗衣机的方案中也做出了一些改进，例如在洗衣机上安装传感器间接检测水质数据，例如安装电导率传感器，通过检测水的电导率确定水的硬度，此方法虽然可以实时反应当地水质状况，但是增加了洗衣机的生产成本。另外，可以将不同地区的水质数据存储在洗衣机中，洗衣机通过用户选择的地理位置查找对应的数值数据，但是，该方法获得的水质数据的实时性较差，数据更新率低，容易产生误差。
下面参照附图描述本发明实施例的洗衣机的控制方法和采用该控制方法的洗衣机。
首先，对本发明实施例的洗衣机的控制方法进行说明。图1是根据本发明的一个实施例的洗衣机的控制方法的流程图，如图1所示，该洗衣机的控制方法包括以下步骤：
S1，洗衣机与云端服务器建立网络连接，云端服务器获取洗衣机所处的地理位置。
具体地，本发明实施例的洗衣机包括通信模块例如WIFI模块，通过通信模块可以与云端服务器建立网络连接，建立网络连接之后，云端服务器获取洗衣机分配的IP地址，进而确定洗衣机的地理位置。
S2，洗衣机获取云端服务器中对应洗衣机所处地理位置的水质数据，其中，云端服务器接收多个地理位置的水家电的水检测信息，并根据水检测信息获得各个地理位置的水质数据。
其中，云端服务器中存储有多个地理位置的水质数据例如水硬度、水PH值。云端 服务器与各个地理位置的水家电，例如净水机、热水器获得洗碗机，进行通信，其中，水家电包括水质传感器，水质传感器用于检测水家电所处地理位置的水质并生成水检测信息，进而水家电将水检测信息发送至云端服务器，从而云端服务器根据水家电反馈的水检测数据获得水质数据。
具体地，当水家电例如净水机、热水器、洗碗机在工作状态时，通过自身的水质传感器对本地水质进行检测并生成检测数据，然后通过集成在水家电产品上的通信单元例如wifi通道将水质检测信息上传至云端服务器，云端服务器会根据此次请求的水家电的IP地址解析，确定水质检测信息来源地区，进而将当前水质信息及所在区域对应记录到数据库表中，通过全国各地区的实时水质信息上传，云端服务器的数据库表会不断地汇总记录各区域的最新水质数据。当洗衣机与云端服务器建立网络连接之后，可以直接借助于云端服务器的水质数据库表，将洗衣机当前所在地理位置的水质数据通过网络同步到洗衣机上，供洗衣机的后续分析处理。
可以理解的是，云端服务器可以通过上述方式获得水质数据，实时性强，水质数据相对更加准确。
S3，洗衣机根据水质数据确定洗衣参数。
首先，洗衣机根据水质数据判断水质等级。在本发明的一个实施例中，通过设置水质数据的阈值将水质划分为四级水质，进而洗衣机将获取的水质数据与各个阈值进行比较，具体地，判断水质数据是否小于第一阈值，如果水质数据小于第一阈值，则判断水质为一级水质，如果水质数据大于第一阈值且小于第二阈值，则判断水质为二级水质；如果水质数据大于第二阈值且小于第三阈值，则判断水质为三级水质；如果水质数据大于第三阈值，则判断水质为四级水质。
其中，水质数据可以包括例如水硬度、水PH质。例如，若数值数据表示水硬度，本实施例中的第一阈值、第二阈值和第三阈值可以分别为100PPM、300PPM、500PPM，若水质数据表示水PH值，本实施例中的第一阈值、第二阈值和第三阈值可以分别为6.5、8、9.5。
其次，根据水质等级确定与水质等级对应的洗衣参数。不同等级的水质对应不同的洗涤参数，可以理解的是，对于不同等级的水质及其对应的洗涤参数可以通过实验获得经验数据，并将经验数据保存。在洗衣机获得当前地理位置水质数据之后，通过将水质数据与设置的阈值进行比较确定水质等级，进而根据水质等级确定对应的洗衣参数例如洗涤剂自动投放量、漂洗次数、洗涤时间。
例如，考虑水质对洗涤时间的影响，例如，水硬度越大，则水中所含的钙镁离子较多，与洗涤剂中的物质相互作用，生成金属盐，使得洗涤剂的表面活性剂失去活力， 从而降低洗涤性能，为了保证衣物洗涤效果，则需要增加洗涤时间；再例如，考虑水质对洗涤剂量和漂洗次数的影响，例如，若水质过酸，会影响洗涤剂的洗涤效果，若水质偏碱，漂洗残留碱性大。对应不同的水质等级设置不同的洗衣参数，可以提高衣物洗净效果。
S4，洗衣机根据洗衣参数调整洗衣程序，并控制洗衣机以调整之后的洗衣程序运行。
例如，假设洗衣机获得当地水硬度为340PPM，通过计算比较确定水硬度在第二阈值和第三阈值之间，属于三级水质，与当前或默认洗衣程序的洗衣参数相比，其中，获得的对应的洗衣参数：洗涤剂投放量应为默认值m的1.15倍、漂洗次数加1次、洗涤时间增加10min，进而洗衣机调整洗衣程序中的对应参数，例如，自动投放系统将投放1.15m的洗涤剂量、选择的洗涤程序中漂洗次数和洗涤时间也相应增加。
可以看出，本发明实施例的洗衣机的控制方法，考虑不同地区的水质，根据洗衣机本地的水质数据，进而智能调整洗涤程序，可以提高衣物洗净效果，洗衣机运行更加智能化。
下面以水硬度数据为例对本发明实施例的洗衣机的控制方法进行说明。
实施例1，如图2所示，为根据水的水硬度数据调整洗涤剂投放量以及漂洗次数的流程图，该洗衣机的控制方法包括以下步骤：
S10，洗衣机联网，确定地理位置。
S20，获取该地理位置的水硬度数据。
S30，判断是否满足L≤L1。
其中，L表示水质数据例如水硬度或PH值，设置L1、L2、L3是水质等级划分阈值，若水质数据L小于L1可定为一级水质、处于L1和L2之间定为二级水质、处于L2和L3之间定为三级水质，大于L3定为四级水质，不同等级的水质对应不同的洗衣参数。
如果满足，则执行步骤S40，否则执行步骤S50。
S40，洗涤剂投放量为m*0.85，漂洗次数减少1次。
S50，判断是否满足L1＜L≤L2。
如果满足，则执行步骤S60，否则执行步骤S70。
S60，洗涤剂投放量为m，漂洗次数不变。
S70，判断是否满足L2＜L≤L3。
如果满足，则执行步骤S80，否则，即水硬度数据大于第三阈值即L3，则执行步骤S90。
S80，洗涤剂投放量为m*1.15，漂洗次数增加一次。
S90，洗涤剂投放量为m*1.3，漂洗次数增加两次。
S100，控制洗衣机的洗涤剂投放装置投放对应的洗涤剂量，并调整洗衣程序中相应的洗衣参数。
实施例2，如图3所示，为根据水硬度数据调整洗涤时间的流程图，该洗衣机的控制方法包括以下步骤：
S110，洗衣机联网，确定地理位置。
S120，获取该地理位置的水硬度数据。
S130，判断是否满足L≤L1。
如果满足，则执行步骤S140，否则执行步骤S150。
S140，洗涤时间减少10分钟。
S150，判断是否满足L1＜L≤L2。
如果满足，则执行步骤S160，否则执行步骤S170。
S160，洗涤时间不变。
S170，判断是否满足L2＜L≤L3。
如果满足，则执行步骤S180，否则，即水硬度数据大于第三阈值即L3，则执行步骤S190。
S180，洗涤时间增加10分钟。
S190，洗涤时间增加20分钟。
S200，调整洗衣程序中相应的洗衣参数，控制洗衣机以调整之后的洗衣程序运行。
综上所述，根据本发明实施例的洗衣机的控制方法，通过洗衣机与云端服务器进行联网，进而洗衣机获得所处地理位置的水质数据，考虑洗衣机所处地理位置的水质对洗衣的影响，并根据水质数据调整洗衣程序，可以提高衣物洗净效果，提高洗衣机的智能化，另外，云端服务器与多个地理位置的水家电进行通信，并根据水检测信息获得各个地理位置的水质数据，实时性强，数据相对更加准确。
为实现上述实施例，本发明另一方面还提出一种洗衣机。
图4为根据本发明的一个实施例的洗衣机的功能框图。如图4所示，该洗衣机100包括通信模块10和控制模块20。
其中，通信模块10，例如WIFI模块，用于与云端服务器建立网络连接，云端服务器获取洗衣机100所处的地理位置，例如，云端服务器获取洗衣机分配的IP地址，进而可以确定洗衣机的地理位置。其中，云端服务器中存储有多个地理位置的水质数据例如水硬度、水PH值，具体地，云端服务器接收多个地理位置的水家电的水检测信 息，水家电包括水质传感器，通过水质传感器可以检测对应地区的水质并生成水检测信息，进而水家电通过通信单元例如WIFI将水检测信上传至云端服务器，云端服务器根据水检测信息获得各个地理位置的水质数据。进而云端服务器确定洗衣机100的地理位置之后，将该地理位置的水质数据发送至洗衣机100，通信模块10接收云端服务器发送的对应洗衣机100所处地理位置的水质数据。
进而控制模块20根据水质数据确定洗衣参数。首先，控制模块20根据水质数据判断水质等级，例如，通过设置水质数据的阈值将水质划分为四级水质，进而控制模块20将获取的水质数据与各个阈值进行比较，确定该数值数据对应的水质等级。其次，控制模块20根据水质等级确定与水质等级对应的洗衣参数。不同等级的水质对应不同的洗涤参数，可以理解的是，对于不同的等级水质及其对应的洗涤参数可以通过实验获得经验数据，并将经验数据保存。
进一步地，控制模块20根据洗衣参数调整洗衣程序，以及控制洗衣机100以调整参数之后的洗衣程序运行。例如，假设通过通信模块10获得洗衣机100当地水硬度为340PPM，控制模块20通过计算比较确定此水硬度的水属于三级水质，与当前或默认洗衣程序的洗衣参数相比，其中，三级水质对应的洗衣参数：洗涤剂投放量应为默认值m的1.15倍、漂洗次数加1次、洗涤时间增加10min，进而控制模块20调整洗衣程序中的对应参数，例如，投放洗涤剂量调整为1.15m、选择的洗涤程序中漂洗次数和洗涤时间也相应增加。
具体地，如图5所示，洗衣机100包括洗涤剂投放装置30，洗涤剂投放装置30根据控制模块20调整之后的洗涤剂投放量进行洗涤剂投放。考虑水质对洗衣机投放量的影响，进而根据水质数据对洗涤投放量进行调整，可以提高衣物洗净效果。
根据本发明实施例的洗衣机，通过通信模块与云端服务器进行联网，进而通信模块接收洗衣机所处地理位置的水质数据，考虑洗衣机所处地理位置的水质对洗衣的影响，控制模块根据水质数据调整洗衣程序，可以提高衣物洗净效果，洗衣机更加智能化，另外，云端服务器与多个地理位置的水家电进行通信，并根据水检测信息获得各个地理位置的水质数据，实时性强，数据相对更加准确。
基于上述方面实施例的洗衣机，本发明再一方面实施例还提出一种洗衣机系统。
图6为根据本发明的一个实施例的洗衣机系统的功能框图。如图6所示，该洗衣机系统1000包括云端服务器200以及上述方面实施例的洗衣机100。洗衣机100与云端服务器200进行通信。
具体地，云端服务器200中存储有多个地理位置的水质数据，云端服务器200接收多个地理位置的水家电的水检测信息，并根据水检测信息获得各个地理位置的水质 数据。洗衣机100与云端服务器200建立网络连接之后，云端服务器200可以通过洗衣机100分配的IP地址确定洗衣机100所处的地理位置，进而调取对应该地理位置的水质数据，并将水质数据发送至洗衣机100，进而洗衣机100根据水质数据调整洗衣程序。
其中，如图7所示，水家电02包括水质传感器021和通信单元022，水质传感器021用于检测水家电02所处地理位置的水质并生成水检测信息，进而通过通信单元022将水检测信息发送至云端服务器200，云端服务器200根据水检测信息获得各个地理位置的水质数据。
根据本发明实施例的洗衣机系统，通过洗衣机与云端服务器进行联网，进而洗衣机获得所处地理位置的水质数据，考虑洗衣机所处地理位置的水质对洗衣的影响，并根据水质数据调整洗衣程序，可以提高衣物洗净效果，提高洗衣机的智能化，另外，云端服务器与多个地理位置的水家电进行通信，并根据水检测信息获得各个地理位置的水质数据，实时性强，数据相对更加准确。
流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为，表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分，并且本发明的优选实施方式的范围包括另外的实现，其中可以不按所示出或讨论的顺序，包括根据所涉及的功能按基本同时的方式或按相反的顺序，来执行功能，这应被本发明的实施例所属技术领域的技术人员所理解。
在流程图中表示或在此以其他方式描述的逻辑和/或步骤，例如，可以被认为是用于实现逻辑功能的可执行指令的定序列表，可以具体实现在任何计算机可读介质中，以供指令执行系统、装置或设备(如基于计算机的系统、包括处理器的系统或其他可以从指令执行系统、装置或设备取指令并执行指令的系统)使用，或结合这些指令执行系统、装置或设备而使用。就本说明书而言，″计算机可读介质″可以是任何可以包含、存储、通信、传播或传输程序以供指令执行系统、装置或设备或结合这些指令执行系统、装置或设备而使用的装置。计算机可读介质的更具体的示例(非穷尽性列表)包括以下：具有一个或多个布线的电连接部(电子装置)，便携式计算机盘盒(磁装置)，随机存取存储器(RAM)，只读存储器(ROM)，可擦除可编辑只读存储器(EPROM或闪速存储器)，光纤装置，以及便携式光盘只读存储器(CDROM)。另外，计算机可读介质甚至可以是可在其上打印所述程序的纸或其他合适的介质，因为可以例如通过对纸或其他介质进行光学扫描，接着进行编辑、解译或必要时以其他合适方式进行处理来以电子方式获得所述程序，然后将其存储在计算机存储器中。
应当理解，本发明的各部分可以用硬件、软件、固件或它们的组合来实现。在上 述实施方式中，多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如，如果用硬件来实现，和在另一实施方式中一样，可用本领域公知的下列技术中的任一项或他们的组合来实现：具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路，具有合适的组合逻辑门电路的专用集成电路，可编程门阵列(PGA)，现场可编程门阵列(FPGA)等。
本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成，所述的程序可以存储于一种计算机可读存储介质中，该程序在执行时，包括方法实施例的步骤之一或其组合。
此外，在本发明各个实施例中的各功能单元可以集成在一个处理模块中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时，也可以存储在一个计算机可读取存储介质中。
上述提到的存储介质可以是只读存储器，磁盘或光盘等。
在本说明书的描述中，参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本发明的至少一个实施例或示例中。在本说明书中，对上述术语的示意性表述不一定指的是相同的实施例或示例。而且，描述的具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。
尽管已经示出和描述了本发明的实施例，对于本领域的普通技术人员而言，可以理解在不脱离本发明的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型，本发明的范围由所附权利要求及其等同限定。

Claims (9)

  1. 一种洗衣机的控制方法，其特征在于，包括以下步骤：
    洗衣机与云端服务器建立网络连接，所述云端服务器获取所述洗衣机所处的地理位置；
    所述洗衣机获取所述云端服务器中对应所述地理位置的水质数据，其中，所述云端服务器接收多个地理位置的水家电的水检测信息，并根据所述水检测信息获得各个地理位置的水质数据；
    所述洗衣机根据所述水质数据确定洗衣参数；以及
    所述洗衣机根据所述洗衣参数调整洗衣程序，并控制所述洗衣机以调整之后的洗衣程序运行。
  2. 如权利要求1所述的洗衣机的控制方法，其特征在于，所述洗衣机根据所述水质数据确定洗衣参数具体包括：
    所述洗衣机根据所述水质数据判断水质等级；
    所述洗衣机根据所述水质等级确定与所述水质等级对应的洗衣参数。
  3. 如权利要求2所述的洗衣机的控制方法，其特征在于，所述洗衣机根据所述水质数据判断水质等级具体包括：
    判断所述水质数据是否小于第一阈值；
    如果所述水质数据小于所述第一阈值，则判断水质为一级水质；
    如果所述水质数据大于所述第一阈值且小于第二阈值，则判断所述水质为二级水质；
    如果所述水质数据大于所述第二阈值且小于第三阈值，则判断所述水质为三级水质；以及
    如果所述水质数据大于所述第三阈值，则判断所述水质为四级水质。
  4. 如权利要求3所述的洗衣机的控制方法，其特征在于，所述水质数据包括水硬度或水PH值。
  5. 一种洗衣机，其特征在于，包括：
    通信模块，所述通信模块用于与云端服务器建立网络连接，所述云端服务器获取所述洗衣机所处的地理位置，以及所述通信模块接收所述云端服务器发送的对应所述地理位置的水质数据，其中，所述云端服务器接收多个地理位置的水家电的水检测信息，并根据所述水检测信息获得各个地理位置的水质数据；
    控制模块，所述控制模块根据所述水质数据确定洗衣参数，并根据所述洗衣参数 调整洗衣程序，以及控制所述洗衣机以调整参数之后的洗衣程序运行。
  6. 如权利要求5所述的洗衣机，其特征在于，所述控制模块还用于根据所述水质数据判断水质等级，并根据所述水质等级确定与所述水质等级对应的洗衣参数。
  7. 如权利要求5所述的洗衣机，其特征在于，所述洗衣机还包括洗涤剂投放装置，所述洗涤剂投放装置根据所述控制模块调整之后的洗涤剂投放量进行洗涤剂投放。
  8. 一种洗衣机系统，其特征在于，包括：
    云端服务器，所述云端服务器接收多个地理位置的水家电的水检测信息，并根据所述水检测信息获得各个地理位置的水质数据；以及
    如权利要求5-7任一项所述的洗衣机，所述洗衣机与所述云端服务器进行通信。
  9. 如权利要求8所述的洗衣机系统，其特征在于，所述水家电包括：
    水质传感器，所述水质传感器用于检测所述水家电所处地理位置的水质并生成所述水检测信息；和
    通信单元，所述通信单元与所述云端服务器进行通信。
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