CN1231626C - Detecting method for cloth quality and quantity of fuzzily controlled industrial washing machine - Google Patents
Detecting method for cloth quality and quantity of fuzzily controlled industrial washing machine Download PDFInfo
- Publication number
- CN1231626C CN1231626C CN 02112995 CN02112995A CN1231626C CN 1231626 C CN1231626 C CN 1231626C CN 02112995 CN02112995 CN 02112995 CN 02112995 A CN02112995 A CN 02112995A CN 1231626 C CN1231626 C CN 1231626C
- Authority
- CN
- China
- Prior art keywords
- water
- cloth
- laundry wheel
- pulse
- processing unit
- 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.)
- Expired - Fee Related
Links
Abstract
The present invention discloses a detecting method for cloth quality and cloth quantity in industrial washing machines for washing control by a fuzzy control technique. The present invention has the main principle that a central processing unit respectively obtains and stores an initial level value H1, a water level value H2 after water enters a washing roller before rotation, and a water level value H3 after the washing roller rotates; the central processing unit also calculates water level differences: S1=H2-H1 and S2=H3-H1; simultaneously, the central processing unit respectively obtains a pulse number M1 relevant to inertia rotary times after the water enters the washing roller, and a pulse number M2 relevant to the inertia rotary times after the water is drained out of the washing roller; then, the range value of cloth quality and cloth quantity is deducted according to four parameters S1, S2, M1 and M2 and a functional relationship between the cloth quality and the cloth quantity. The method has the advantages of accurately deducting two parameters of the cloth quality and the cloth quantity, correspondingly enhancing the accuracy of fuzzy control, and enhancing the working efficiency of washing machines.
Description
Technical field
The present invention relates to and adopt fuzzy control technology to wash the industry washer of control, refer more particularly to the cloth matter in this kind washing machine and the detection method of these two parameters of cloth amount.
Background technology
Fuzzy control technology is in the application of succeeding of family expenses washing machine industry, its groundwork principle is: the lining character that detects and infer washing clothes by plurality of sensors respectively---be cloth matter, the weight of washing clothes---be the cloth amount, and information such as the degree of fouling of washing clothes and dirty character, after central processing unit obtains above-mentioned these information, again according to being stored in the fuzzy rule base, with above-mentioned information-related data function relation, and, make washing machine adopt best program by fuzzy reasoning and calculating---wash the time as suitable master, suitable water consumption, suitable rotating speed waits and carries out washing work; Data function recited above relation is meant that the master of information such as cloth matter, cloth amount, degree of fouling and washing machine washes the functional relation between the washing parameters such as consumption of the rotating speed of time, the water consumption when washing, cylinder and washing agent, these functional relations can be tested by a large amount of washings usually and be obtained, central processing unit with these functional relations as the foundation of fuzzy reasoning, and be stored in advance in the fuzzy rule base, for it at fuzzy reasoning with use in calculating.
In order to detect the cloth matter of washing clothes, the cloth amount, information such as degree of fouling, the fuzzy control washing machine generally all is divided into the laundry processes in the washing procedure two stages, that is: previous cleaning stage and master wash the stage, usually detect and infer washing clothes for information about in the previous cleaning stage, central processing unit is according to detected information and the relevant data functional relation that is stored in the fuzzy rule base, infer main wash time of washing the stage, the required water yield, the rotating speed of cylinder, parameters such as the consumption of washing agent, go forward side by side and become owner of the stage of washing, washing clothes is carried out washing work.That is to say, the purpose that the previous cleaning stage is set mainly is exactly for information such as the cloth matter that can detect washing clothes, cloth amount, degree of foulings, for central processing unit carries out correct fuzzy reasoning and calculating, makes washing machine select preferable program to carry out washing work to serve.
Though fuzzy control technology is in the application of succeeding of family expenses washing machine industry,, the industry washer industry being widely used in places such as hotel, hotel, sanatorium, hospital, school yet there are no the use fuzzy control technology.
From the above mentioned as can be known, cloth matter and cloth amount be adopt fuzzy control technology must obtain, two crucial parameters, can detect this two parameters exactly, be directly connected to reasonability, the accuracy of washing parameters such as injected volume of height, the washing powder of length, the water level of wash time.Need to prove that what of cotton content in the cloth are so-called cloth matter in fuzzy control theory typically refer to, as: cotton content is more just is called cotton, and cotton content is general just is called blending, cotton content seldom just be called chemical fibre etc.; So-called cloth amount in fuzzy control theory also is a kind of fuzzy quantity notion usually, as: with the cloth amount be divided into many, in, three orders of magnitude are other less.
Adopt the washing machine of fuzzy control technology, the detection of its cloth matter and cloth amount is carried out respectively." counter electromotive force method " adopted in the detection of cloth amount, it is according to being: different cloth amounts can produce different cloth impedances, the asynchronism(-nization) of motor outage back laundry wheel stall, it is number of pulses---the umber of pulse difference of the inverse electromotive force of motor outage back generation, that is to say, there is certain functional relation between the umber of pulse of cloth amount and motor outage back inverse electromotive force, this functional relation can be tested by a large amount of washings and be obtained, and the foundation of this functional relation as fuzzy reasoning can be stored in the fuzzy rule base, use when carrying out fuzzy reasoning and calculating for central processing unit.Therefore, in traditional fuzzy control washing machine, central processing unit at first detects the umber of pulse of motor outage back inverse electromotive force usually, and then according to relevant functional relation, further infers the value range of cloth amount.But because the transmission mechanism more complicated of industry washer, and adopting converter technology control motor, the data that draw are irregular to be followed, and therefore, can not adopt above-mentioned " counter electromotive force method " to detect the cloth amount.
In the family expenses fuzzy control washing machine, the detection of cloth matter is according to being: its water imbibition difference of different cloth matter, as: the water imbibition maximum of cotton, blending is taken second place, the chemical fibre minimum; The difference of the water level value before and after water imbibition can be rotated by laundry wheel is again explained, that is: in general, before laundry wheel water inlet back, the rotation, clothing in the cylinder is not also fully soaked into by water, at this moment water level value is made as H2, and behind laundry wheel normal rotation certain hour, the clothing in the cylinder is fully soaked into by water, at this moment water level value is made as H3, and these two water level value H2 are just relevant with the water imbibition of different cloth matter with the difference S between the H3; That is to say, different cloth matter and its water imbibition---be to have certain functional relation between the difference S of the water level value before and after laundry wheel rotates, this functional relation also can be tested by a large amount of washings and be obtained, and also the foundation of this functional relation as fuzzy reasoning can be stored in the fuzzy rule base in advance, in carrying out fuzzy reasoning and calculating, use for central processing unit.Therefore, in traditional fuzzy control washing machine, the detection method of its cloth matter is: central processing unit at first detects water level value H2 and the H3 that laundry wheel rotates front and back respectively by level sensor, calculate the water level difference S=H2-H3 between them then, according to the relevant functional relation in the fuzzy rule base, infer this parameter of cloth matter again.
But in fact, cloth impedance, water-head are interactional, with cloth matter, cloth amount relation is arranged all, thereby the detection of cloth matter, cloth amount also can produce and influences each other, above-mentioned difference detects cloth matter independently, these two parameters of cloth amount are just not really accurate, and this will directly have influence on the operating accuracy and the operating efficiency of fuzzy control washing machine; And because the structure of industry washer and the structure of washing machine differ widely, the weight sum of parts such as its cylinder, motor, belt wheel, counterweight is much larger than load---the weight of washing clothes, the cloth impedance relative difference that makes the dried load cloth of Different Weight be produced is less, thereby the above-mentioned detection method that adopts in the family expenses washing machine just can not be applied directly in the industry washer.
Summary of the invention
Because there are the problems referred to above in the detection method of cloth quality and quantity in the washing machine, the present invention will provide a kind of be suitable for industry washer, the testing result detection method of cloth quality and quantity more accurately.
Because the weight sum of parts such as the cylinder in the industry washer, motor, belt wheel, counterweight is much larger than load---the weight of washing clothes, the cloth impedance relative difference that makes the dried load cloth of Different Weight be produced is less, and the time difference of motor outage back laundry wheel stall is also little; But after adding a certain amount of water, data variation is comparatively obvious again, the time difference of motor outage back laundry wheel stall is bigger, it is the number of times difference of laundry wheel inertia rotation, therefore, the present invention is the load in laundry wheel---under the state after the washing clothes immersion, detect the umber of pulse relevant again with the inertia number of revolutions of laundry wheel; Because in the washing work of reality, these two parameters of cloth matter and cloth amount influence each other again, and therefore, detection method of the present invention detects and these two parameters of reasoning no longer independently, but synthetically detects and reasoning.
The detection method of cloth quality and quantity of fuzzily controlled industrial washing machine of the present invention mainly comprises the steps:
Initial water place value H1 is obtained and stored to a, central processing unit in advance; Initial water place value H1 is meant: when in the laundry wheel during no any washing clothes, add the water level value that is presented behind the water yield G that sets in laundry wheel;
B, after putting into washing clothes in the laundry wheel, add the water yield G that sets in the laundry wheel, central processing unit records the water level value H2 of this moment by level sensor, and calculates water-head S1=H2-H1:
C, make the positive and negative rotation certain hour of laundry wheel then, washing clothes is fully soaked into by water; The rollers running of waiting to do washing steadily back cuts off motor power, begins to detect the umber of pulse M relevant with the inertia number of revolutions of laundry wheel by pulse-detecting circuit simultaneously, stops operating fully up to laundry wheel, obtains first umber of pulse M1; Behind water and clothing calmness in the laundry wheel, central processing unit records the water level value H3 of this moment by level sensor, and calculates water-head S2=H3-H1;
D, again the water in the laundry wheel is drained, after having arranged water, starter motor once more, laundry wheel is normally rotated, treat the steadily power supply of back cut-out motor of its running, begin to detect the umber of pulse M relevant by pulse-detecting circuit simultaneously, stop operating fully, obtain second umber of pulse M2 up to laundry wheel with the inertia number of revolutions of laundry wheel;
After e, central processing unit obtain above-mentioned four parameter S 1, S2, M1 and M2,, infer the value range of cloth matter and cloth amount again according to the functional relation that is stored between four parameter S 1, S2, M1 and M2 in the fuzzy rule base, above-mentioned and cloth matter, the cloth amount.
Above-mentioned initial water place value H1 can obtain by the following method: when in the laundry wheel during no any washing clothes, add the water yield G that sets in laundry wheel, central processing unit records the water level value H1 of this moment by level sensor.
The relevant umber of pulse M of inertia number of revolutions above-mentioned and laundry wheel is exactly the relevant umber of pulse of inertia number of revolutions with the belt pulley that drives the laundry wheel rotation; And, this umber of pulse can obtain by following method: offer six through holes on belt pulley, an electromagnetic induction is being installed near switch over against the position of through hole, is being detected the umber of pulse relevant near the electromagnetic induction signal of switch with the inertia number of revolutions of belt pulley by electromagnetic induction.
Certainly, the same with the functional relation of using in the fuzzy control washing machine, functional relation between above-mentioned four parameter S 1, S2, M1 and M2 and cloth matter, the cloth amount also is to test by a large amount of washings to obtain, and the foundation of this functional relation as fuzzy reasoning be stored in the fuzzy rule base in advance, use in carrying out fuzzy reasoning and calculating for central processing unit.
Advantage of the present invention is: can obtain cloth matter and these two parameters of cloth amount more exactly by said method, correspondingly also improve the accuracy of fuzzy control, improve the operating efficiency of washing machine, reach purpose energy-conservation, consumption reduction better.
Description of drawings
Fig. 1 is the operation principle block diagram of an embodiment of fuzzily controlled industrial washing machine of the present invention;
Fig. 2 is that electromagnetic induction concerns schematic diagram near the position of through hole on switch and the belt pulley among Fig. 1;
Fig. 3 is that the present invention is used for a fuzzy reasoning logical table of reasoning cloth matter and cloth amount.
Embodiment
Below in conjunction with the drawings and specific embodiments technical solutions according to the invention are further described.
As shown in Figure 1, it is the theory diagram of an embodiment of fuzzily controlled industrial washing machine of the present invention, among the figure, the 1st, the casing of washing machine, the 2nd, laundry wheel, laundry wheel 2 is connected with belt pulley 3 by power transmission shaft 12, and the power output of motor 4 passes to laundry wheel 2 by belt pulley 3 and by power transmission shaft 12; Level sensor 5 is used for detecting the water level height in the laundry wheel 2, and water level detection circuit sends the signal of level sensor 5 to central processing unit; Turbidity sensor 6 is installed in and detects on the pipeline 13, on detection pipeline 13 electromagnetic valve 7 and draining pump 8 is installed also, and the turbidity testing circuit sends the signal of turbidity sensor 6 to central processing unit.Flow sensor 9 is installed on the water inlet pipe, and inflow what are used for detecting, and the flow detection circuit sends the signal of flow sensor 9 to central processing unit; Electromagnetic induction is installed on the shell of cylinder 2 near switch 10 by support, can certainly be installed on the casing 1, as shown in Figure 2, face six technology circular holes 14 on the belt pulley 3 near switch 10, be used for detecting the umber of pulse relevant with the inertia number of revolutions of belt pulley 3, the operation principle of its detection is: when belt pulley 3 rotations, six technology circular holes 14 on the belt pulley 3 will pass through near in face of the switch 10 compartment of terrain, because metal materials such as belt pulley 3 usefulness iron are made, thereby technology circular hole 14 is every through once near switch 10, will send a umber of pulse because of the difference of electromagnetic induction signal near switch 10, thereby can record the umber of pulse relevant with the inertia number of revolutions of belt pulley 3; Pulse-detecting circuit will send central processing unit near the signal of switch 10; Temperature sensor 11 is used for detecting the temperature of the cleaning solution in the laundry wheel 2, and temperature sensing circuit sends the signal of temperature sensor 11 to central processing unit.Behind the signal that each sensor that obtains central processing unit arrives,,, finally go to control the action of each road valve and the rotation of motor 4, to finish fuzzy washing work through fuzzy reasoning and calculating again according to the relevant data functional relation that is stored in the fuzzy rule base.
The detection method of the described cloth quality and quantity of fuzzily controlled industrial washing machine of present embodiment mainly comprises the steps:
Initial water place value H1 is obtained and stored to a, central processing unit in advance; Initial water place value H1 is meant: when in the laundry wheel 2 during no any washing clothes, add the water level values that presented behind the water yield G that sets in laundry wheel 2.In the present embodiment, above-mentioned initial water place value H1 can obtain by the following method: when in the laundry wheel 2 during no any washing clothes, add the water yield G that set in laundry wheel 2, central processing unit records the water level value H1 of this moment by level sensor 5.In addition, the initial water place value also can obtain by Calculation Method: as in the present embodiment, the diameter of known laundry wheel 2 is 813mm, the degree of depth is 520mm, after the water yield G that sets when the previous cleaning stage determines, the volume of water has also just been determined, just can have been calculated initial water place value H1, and can be stored in this initial water place value H1 in the central processing unit in advance; Initial water place value H1=200mm in the present embodiment; The size of water yield G can detect by flow sensor 9.
B, after putting into washing clothes in the laundry wheel 2, in laundry wheel 2, add the water yield G that set, central processing unit records the water level value H2 of this moment by level sensor 5, and calculates water-head S1=H2-H1;
C, make the normally positive and negative rotation certain hour of laundry wheel 2 then, one of purpose is to allow washing clothes fully absorb water---promptly fully soaked into by water; Wait to do washing and cut off the power supply of motor 4 after cylinder 2 turns round steadily, begin to detect the umber of pulse M relevant by electromagnetic induction near switch 10 simultaneously with the inertia number of revolutions of laundry wheel 2---promptly relevant umber of pulse M with the inertia number of revolutions of belt pulley 3, stop operating fully up to laundry wheel 2---also be that belt pulley 3 stops operating fully, obtain first umber of pulse M1; Behind water and clothing calmness in the laundry wheel 2, central processing unit records the water level value H3 of this moment by level sensor 5, and calculates water-head S2=H3-H1;
D, again the water in the laundry wheel 2 are drained, after having arranged water, starter motor 4 once more, laundry wheel 2 is normally rotated, treat the steadily power supply of back cut-out motor 4 of its running, detect umber of pulse M by electromagnetic induction once more near switch 10 simultaneously, stop operating fully up to laundry wheel 2---also be that belt pulley 3 stops operating fully, obtain second umber of pulse M2;
After e, central processing unit obtain above-mentioned four parameter S 1, S2, M1 and M2,, infer the value range of cloth matter and cloth amount again according to the functional relation that is stored between four parameter S 1, S2, M1 and M2 in the fuzzy rule base, above-mentioned and cloth matter, the cloth amount.
Need to prove: the same with traditional fuzzy control washing machine, above-mentioned four parameter S 1, S2, M1 and M2 and cloth matter, functional relation between the cloth amount is that by experiment mode obtains, promptly in advance by a large amount of washing experiments, find out the functional relation between the relevant data required in the fuzzy control technology, in the present embodiment, be exactly S1, S2, M1 and M2 this four parameters and cloth matter, functional relation between the cloth amount, then, with the functional relation that obtains by experiment foundation as fuzzy reasoning, be stored in the fuzzy rule base, use at fuzzy reasoning with when calculating for central processing unit;
Fig. 3 is that present embodiment is used for a logical function table of reasoning cloth matter and cloth amount, and this logical function table obtains by a large amount of washing experiments, and can store in fuzzy rule base in advance.According to this logical function table, concrete inference step is as follows: after central processing unit is obtained these four parameters of S1, S2, M1 and M2, at first judge the situation of S1 and S2, divide three-step reasoning: one, under the situation greater than 112mm, judge the situation of M1 and M2 greater than 152mm and S2 again at S1; If M1 greater than 24, M2 is greater than 31, then central processing unit just infers washing clothes and contains conclusion more than cotton many, the cloth amount; If M1 less than 24 but greater than 22, M2 is less than 31 but greater than 27, then central processing unit just infers washing clothes and contains conclusion in cotton many, the cloth amount; If M1 less than 22, M2 is less than 27, then central processing unit just infers washing clothes and contains cotton many, conclusion that the cloth amount is few.Two, at S1 less than 152mm but greater than 140mm, S2 less than 112mm but under the situation greater than 70mm, judge the situation of M1 and M2 again; If M1 greater than 20, M2 is greater than 25, then central processing unit just infers the conclusion that washing clothes contains in the cotton, the cloth amount is many; If M1 less than 20 but greater than 14, M2 is less than 25 but greater than 17, then central processing unit just infer that washing clothes contains in the cotton, the conclusion in the cloth amount; If M1 less than 14, M2 is less than 17, then central processing unit just infers the conclusion that washing clothes contains in the cotton, the cloth amount is few.Three, S1 less than 140mm, S2 situation less than 70mm under, judge the situation of M1 and M2 again; If M1 greater than 14, M2 is greater than 20, then central processing unit just infer washing clothes contain cotton less, conclusion that the cloth amount is many; If M1 less than 14 but greater than 12, M2 is less than 20 but greater than 14, then central processing unit just infer washing clothes contain cotton less, the conclusion in the cloth amount; If M1 less than 12, M2 is less than 14, then central processing unit just infer washing clothes contain cotton less, conclusion that the cloth amount is few.
In sum, the present invention is through comprehensive detection and reasoning, final cloth matter and these two parameters of cloth amount of deriving, this method is compared with the detection method of traditional cloth quality and quantity, can infer these two parameters of cloth matter and cloth amount more exactly, correspondingly also further improve the accuracy of fuzzy control, improved the operating efficiency of washing machine, reached purpose energy-conservation, consumption reduction better.
Claims (4)
1, the detection method of cloth quality and quantity of fuzzily controlled industrial washing machine is characterized in that: mainly comprise the steps:
Initial water place value H1 is obtained and stored to a, central processing unit in advance; Initial water place value H1 is meant: when in the laundry wheel during no any washing clothes, add the water level value that is presented behind the water yield G that sets in laundry wheel;
B, after putting into washing clothes in the laundry wheel, add the water yield G that sets in the laundry wheel, central processing unit records the water level value H2 of this moment by level sensor, and calculates water-head S1=H2-H1:
C, make the positive and negative rotation certain hour of laundry wheel then, washing clothes is fully soaked into by water; The rollers running of waiting to do washing steadily back cuts off motor power, begins to detect the umber of pulse M relevant with the inertia number of revolutions of laundry wheel by pulse-detecting circuit simultaneously, stops operating fully up to laundry wheel, obtains first umber of pulse M1; Behind water and clothing calmness in the laundry wheel, central processing unit records the water level value H3 of this moment by level sensor, and calculates water-head S2=H3-H1;
D, again the water in the laundry wheel is drained, after having arranged water, starter motor once more, laundry wheel is normally rotated, treat the steadily power supply of back cut-out motor of its running, begin to detect the umber of pulse M relevant by pulse-detecting circuit simultaneously, stop operating fully, obtain second umber of pulse M2 up to laundry wheel with the inertia number of revolutions of laundry wheel;
After e, central processing unit obtain above-mentioned four parameter S 1, S2, M1 and M2,, infer the value range of cloth matter and cloth amount again according to the functional relation that is stored between four parameter S 1, S2, M1 and M2 in the fuzzy rule base, above-mentioned and cloth matter, the cloth amount.
2, detection method as claimed in claim 1 is characterized in that: described initial water place value H1 can obtain by the following method: record this water level value H1 by central processing unit by level sensor.
3, detection method as claimed in claim 1 is characterized in that: the described umber of pulse M relevant with the inertia number of revolutions of laundry wheel is exactly the relevant umber of pulse of inertia number of revolutions with the belt pulley that drives the laundry wheel rotation.
4, detection method as claimed in claim 3, it is characterized in that: the described umber of pulse relevant with the inertia number of revolutions of belt pulley obtains by the following method: offer six through holes on belt pulley, an electromagnetic induction is being installed near switch over against the position of through hole, is being detected the umber of pulse relevant near the electromagnetic induction signal of switch with the inertia number of revolutions of belt pulley by electromagnetic induction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 02112995 CN1231626C (en) | 2002-05-08 | 2002-05-08 | Detecting method for cloth quality and quantity of fuzzily controlled industrial washing machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 02112995 CN1231626C (en) | 2002-05-08 | 2002-05-08 | Detecting method for cloth quality and quantity of fuzzily controlled industrial washing machine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN1378005A CN1378005A (en) | 2002-11-06 |
| CN1231626C true CN1231626C (en) | 2005-12-14 |
Family
ID=4742377
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 02112995 Expired - Fee Related CN1231626C (en) | 2002-05-08 | 2002-05-08 | Detecting method for cloth quality and quantity of fuzzily controlled industrial washing machine |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1231626C (en) |
Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7475571B2 (en) | 2002-11-26 | 2009-01-13 | Lg Electronics Inc. | Controlling method of washing machine |
| CN101135105B (en) * | 2006-08-30 | 2010-09-22 | 海尔集团公司 | Clothes quantity fuzzy measuring method for DC frequency-changing rotary drum washing machine |
| CN101864653B (en) * | 2010-07-02 | 2012-06-13 | 深圳和而泰智能控制股份有限公司 | Cloth quality and volume detection method and device of drum-type washing machine |
| CN103906871B (en) * | 2011-09-02 | 2016-06-01 | 松下电器产业株式会社 | Tumbling-box washing machine |
| US10161074B2 (en) * | 2016-06-30 | 2018-12-25 | Midea Group Co., Ltd. | Laundry washing machine with automatic detergent dispensing and/or rinse operation type selection |
| US10273622B2 (en) | 2016-06-30 | 2019-04-30 | Midea Group Co., Ltd. | Laundry washing machine with automatic selection of load type |
| US10358760B2 (en) | 2016-06-30 | 2019-07-23 | Midea Group Co., Ltd. | Laundry washing machine with automatic rinse operation type selection |
| US10161075B2 (en) | 2016-06-30 | 2018-12-25 | Midea Group Co., Ltd. | Laundry washing machine with automatic detection of detergent deficit |
| CN112127121B (en) * | 2019-06-06 | 2023-09-08 | 青岛海尔洗衣机有限公司 | Washing machine and water inlet control method thereof |
| US11371175B2 (en) | 2020-06-04 | 2022-06-28 | Midea Group Co., Ltd. | Laundry washing machine with dynamic selection of load type |
| US11866868B2 (en) | 2020-12-18 | 2024-01-09 | Midea Group Co., Ltd. | Laundry washing machine color composition analysis with article alerts |
| US11898289B2 (en) | 2020-12-18 | 2024-02-13 | Midea Group Co., Ltd. | Laundry washing machine calibration |
| US11773524B2 (en) | 2020-12-18 | 2023-10-03 | Midea Group Co., Ltd. | Laundry washing machine color composition analysis during loading |
-
2002
- 2002-05-08 CN CN 02112995 patent/CN1231626C/en not_active Expired - Fee Related
Also Published As
| Publication number | Publication date |
|---|---|
| CN1378005A (en) | 2002-11-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1231626C (en) | Detecting method for cloth quality and quantity of fuzzily controlled industrial washing machine | |
| CN100540791C (en) | The method of tumbling-box washing machine and detection clothes weight thereof | |
| CN102146629B (en) | Laundry weight sensing method | |
| CN1136350C (en) | Controller of automatic washer with sprinkling pretreatment function | |
| CA2242994C (en) | Method for detecting cloth amount in drum washing machine | |
| EP0969133A1 (en) | A method of detecting imbalance in a drum of a washing machine | |
| CN1590629A (en) | Method for sensing amount of laundry of washing machine | |
| CN1659325A (en) | Method for controlling the program of a washing machine and washing machine using such method | |
| CN1179083C (en) | Washing mode determine device and method thereof | |
| CN101864653B (en) | Cloth quality and volume detection method and device of drum-type washing machine | |
| CN104652092B (en) | A kind of eccentric detection method of automatic washing machine | |
| CN1231627C (en) | Detecting and controlling method for turbidity of fuzzily controlled industrial washing machine | |
| CN101113556B (en) | Washing machine and operating method thereof | |
| KR20050076526A (en) | Apparatus sensing partial disposition for drum washing machine | |
| KR100519325B1 (en) | How to detect the amount of washing machine | |
| CN111850961B (en) | Washing machine and foam detection method and device thereof | |
| KR100806145B1 (en) | Filter sensor and washing machine therewith and control method thereof | |
| CN114369924B (en) | Washing machine water level detection method and washing machine | |
| CN108796990A (en) | A kind of washing machine prevents the control method of clothes dyeing | |
| KR0143215B1 (en) | Disproportion sensing method of drum type washing machine | |
| KR960014252B1 (en) | Dehydration tub breaking method | |
| CN101135105B (en) | Clothes quantity fuzzy measuring method for DC frequency-changing rotary drum washing machine | |
| KR20040051239A (en) | method for sensing unbalance of washing machine | |
| CN117737959A (en) | Water level detection method of drum washing machine and drum washing machine | |
| KR960014254B1 (en) | Laundry quantity detecting method of a washing machine |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20051214 |