Patent Application
20180002859
Laundry washing machines are used in many single-family and multi-family residential applications to clean clothes and other fabric items. Due to the wide variety of items that may need to be cleaned by a laundry washing machine, many laundry washing machines provide a wide variety of user-configurable settings to control various aspects of a wash cycle such as water temperatures and/or amounts, agitation, soaking, rinsing, spinning, etc. The settings cycle can have an appreciable effect on washing performance, as well as on energy and/or water consumption, so it is generally desirable for the settings used by a laundry washing machine to appropriately match the needs of each load washed by the machine.
Some laundry washing machines also support user selection of load types, typically based on the types of fabrics and/or items in the load. Some laundry washing machines, for example, have load type settings such as colors, whites, delicates, cottons, permanent press, towels, bedding, heavily soiled items, etc. These manually-selectable load types generally represent specific combinations of settings that are optimized for particular load types so that a user is not required to select individual values for each of the controllable settings of a laundry washing machine.
While manual load type selection in many cases simplifies a user's interaction with a laundry washing machine, such manual selection still can lead to suboptimal performance due to, for example, user inattentiveness or lack of understanding. Therefore, a significant need continues to exist in the art for a manner of optimizing the performance of a laundry washing machine for different types of loads, as well as reducing the burden on users when interacting with a laundry washing machine.
The invention addresses these and other problems associated with the art by providing a laundry washing machine and method that utilize a fluid property sensor such as a turbidity dispenser to dynamically select between different types of rinse operations, e.g., fill rinse operations or spin rinse operations, performed during a wash cycle.
In particular, in some embodiments, a laundry washing machine includes a wash tub disposed within a housing, a fluid property sensor configured to sense turbidity and/or conductivity of fluid from the wash tub, and a controller coupled to the fluid property sensor. The controller may be configured to initiate a wash phase of a wash cycle to wash a load disposed in the wash tub, determine with a fluid property sensor a fluid property value associated with the wash fluid, and select between a fill rinse operation and a spray rinse operation for a rinse phase of the wash cycle based at least in part upon the determined fluid property value.
In some embodiments, the fluid property sensor includes a turbidity sensor configured to measure turbidity of the fluid from the wash tub, and the controller is configured to select between the fill rinse operation and the spray rinse operation at least based upon turbidity of the fluid from the wash tub. Further, in some embodiments, the turbidity sensor is further configured to measure conductivity of the fluid from the wash tub, and the controller is further configured to select between the fill rinse operation and the spray rinse operation based upon conductivity of the fluid from the wash tub. In addition, in some embodiments, the controller is further configured to determine whether to perform an additional rinse operation based at least in part upon a second fluid property value sensed by the fluid property sensor after the selected fill rinse operation or spray rinse operation is performed, and in some embodiments, the controller is configured to select between the fill rinse operation and the spray rinse operation to be performed as the additional rinse operation based upon the second fluid property value. In some embodiments, the controller is configured to repeat the selected fill rinse operation or spray rinse operation as the additional rinse operation, while some embodiments further include a weight sensor operatively coupled to the wash tub to sense a weight associated with the wash tub and a fluid level sensor configured to sense a fluid level in the wash tub, and the controller is configured to dynamically select a load type from among a plurality of load types based at least upon weight and fluid level values sensed respectively by the weight and fluid level sensors, and to control a wash cycle at least based upon the selected load type.
Some embodiments also include a water inlet configured to dispense water into the wash tub, and the controller is further configured to initiate an initial fill phase of a wash cycle by controlling the water inlet to dispense water into the wash tub and to dynamically select the load type during the initial fill phase after a selected amount of water has been dispensed by the water inlet. Some embodiments also include a detergent dispenser configured to dispense detergent for washing a load disposed in the wash tub, and the controller is configured to control dispensing of detergent by the detergent dispenser based at least in part upon the fluid property value.
Some embodiments may also include a method of operating a laundry washing machine of the type including a wash tub disposed within a housing and a fluid property sensor configured to sense turbidity and/or conductivity of fluid from the wash tub. The method may include initiating a wash phase of a wash cycle to wash a load disposed in the wash tub with a wash fluid, determining with a fluid property sensor a fluid property value associated with the wash fluid, and selecting between a fill rinse operation and a spray rinse operation for a rinse phase of the wash cycle based at least in part upon the determined fluid property value.
These and other advantages and features, which characterize the invention, are set forth in the claims annexed hereto and forming a further part hereof. However, for a better understanding of the invention, and of the advantages and objectives attained through its use, reference should be made to the Drawings, and to the accompanying descriptive matter, in which there is described example embodiments of the invention. This summary is merely provided to introduce a selection of concepts that are further described below in the detailed description, and is not intended to identify key or essential features of the claimed subject matter, nor is it intended to be used as an aid in limiting the scope of the claimed subject matter.
Embodiments consistent with the invention may be used to automate the selection of a load type for a laundry washing machine, as well as to control a wash cycle, and in some instances, control the dispensation of detergent, in response to sensor data collected from weight, fluid level and fluid property sensors. In particular, in some embodiments consistent with the invention, a laundry washing machine may include in part a weight sensor operatively coupled to a wash tub to sense a weight associated with the wash tub, a fluid level sensor configured to sense a fluid level in the wash tub, a fluid property sensor configured to sense turbidity and/or conductivity of fluid from the wash tub, and a controller configured to dynamically select a load type from among a plurality of load types based at least upon weight and fluid level values sensed respectively by the weight and fluid level sensors, and to control a wash cycle at least based upon the selected load type and a fluid property value sensed by the fluid property sensor, along with controlling an amount of detergent dispensed by a detergent dispenser based at least in part upon the fluid property value.
In this regard, a load type may be considered to represent one of a plurality of different characteristics, categories, classes, subclasses, etc. that may be used to distinguish different loads from one another, and for which it may be desirable to define particular operational settings or combinations of operational settings for use in washing loads of that particular load type. Load types may be defined, for example, to distinguish between colors, darks, whites, etc.; between different fabric types (e.g., natural, cotton, wool, silk, synthetic, polyester, permanent press, wrinkle resistant, blends, etc.); between different article types (e.g., garments, towels, bedding, delicates, etc.); between lightly, normally or heavily soiled loads; etc. Load types may also represent categories of loads that are unnamed, and that simply represent a combination of characteristics for which certain combinations operational settings may apply, particularly as it will be appreciated that some loads may be unsorted and may include a combination of different items that themselves have different characteristics. Therefore, in some embodiments, a load type may be associated with a combination of operational settings that will be applied to a range of different loads that more closely match that load type over other possible load types.
An operational setting, in this regard, may include any number of different configurable aspects of a wash cycle performed by a laundry washing machine including, but not limited to, a wash water temperature, a rinse water temperature, a wash water amount, a rinse water amount, a speed or stroke of agitation during washing and/or rinsing, a spin speed, whether or not agitation is used during washing and/or rinsing, a duration of a wash, rinse, soak, or spin phase of a wash cycle, a number of repeats of a wash, rinse, soak or spin phase, selection between different rinse operation types such as a spray rinse operation or a fill rinse operation, pre-treatment such as soaking over time with a prescribed water temperature and specific agitation stroke, etc.
As will become more apparent below, in some embodiments of the invention, a load type may be dynamically selected during an initial fill phase of a wash cycle, i.e., the phase of a wash cycle in which water is first introduced into a wash tub, and generally prior to any agitation of the load and/or draining of fluid from the wash tub, and generally without any extended soaking of the load. Thus, in contrast to some conventional approaches, load type selection may be performed with little or no delay in the initial fill phase, and thus, with little or no impact on the duration of the overall wash cycle.
Further, the dynamic selection may be based at least in part upon weight and fluid level values sensed respectively by weight and fluid level sensors operatively coupled to sense a weight and a fluid level in a wash tub after a selected amount of water has been dispensed into the wash tub. It will be appreciated that water is naturally absorbed into the garments and/or other items in a load as water in introduced into a wash tub, and that certain types and mixes of garments and items will absorb water at different rates and will displace water at different amounts. It has been found that through the use of a combination of weight and fluid level measurements, different types of loads may be distinguished because the fluid level will generally indicate the amount of displacement of the load in the wash tub as well as give an effective absorption of water when comparing to the weight. Various algorithms as discussed below may incorporate both weight and fluid level values to effectively distinguish the load type based on different major groupings and their associated load weights, rates of absorption and effective water displacements.
In some embodiments, for example, weight and fluid level values may be used to determine characteristics associated with the water absorption properties of the load, i.e., the degree to which and/or rate of which water (or any other fluid) is absorbed into the items constituting the load. In some embodiments, for example, weight and fluid level values may be used to determine first and second water absorption parameters that are each compared to empirically-determined constants associated with different load types in order to select a load type among the different load types that most closely matches the water absorption parameters.
Further, in some embodiments, one or more fluid properties, e.g., as sensed by one or more fluid property sensors, may be used to configure various operational settings for a wash cycle in addition to or in combination with a dynamically selected load type. A fluid property, in this regard, may represent one or more characteristics of a fluid in a laundry washing machine, including, but not limited to turbidity, conductivity, temperature, etc., and which, it will be appreciated, may include fluid disposed within a wash tub or otherwise disposed within a conduit or other location in fluid communication with a fluid property sensor. In some embodiments, for example, a fluid property sensor may be configured to sense at least turbidity and/or conductivity, although additional fluid properties, e.g., temperature, may also be sensed by such a sensor. Some embodiments, for example, may use a turbidity sensor that is also configured to sense conductivity and/or temperature. It will also be appreciated that multiple fluid property sensors may be used in some embodiments to sense different fluid properties. Among other purposes, for example, turbidity, conductivity and/or temperature may be used to vary a wash or rinse duration based on a level of soil or cleanliness in a load and/or an amount of detergent detected in a wash fluid.
Furthermore, in some embodiments, turbidity and/or conductivity, among other fluid properties, may also be used to control the amount of detergent dispensed by a detergent dispenser such as an automatic detergent dispenser. In addition, in some embodiments, a fluid property such as turbidity and/or conductivity may also be used to determine a detergent deficit in a wash fluid, i.e., a lower than desired amount, concentration, quantity, etc. of a detergent in a wash fluid. In some embodiments, the detergent deficit may result from a manual addition of an insufficient amount of detergent by a user, e.g., as a result of a user placing an insufficient amount of detergent in a manually-fed detergent dispenser and/or directly in a wash tub, and in response to detecting such a detergent deficit, additional detergent may be dispensed from an automated detergent dispenser.
Turbidity and/or conductivity, among other fluid properties, may also be used in some embodiments to select from among different types of rinse operations, e.g., to select between a fill rinse operation and a spray rinse operation. With a fill rinse operation (sometimes referred to as a “deep fill” rinse), a load is rinsed by filling the wash tub with a quantity of fresh water, agitating the load with an agitator in the wash tub, and then draining the wash tub after some period of time. With a spray rinse operation, a load is rinsed by spraying the load with fresh water while spinning a wash basket, and generally while continuing to drain the wash tub. In some embodiments, for example, one or more fluid properties may be sensed in the wash fluid after a wash phase, e.g., while draining the wash tub, and the fluid properties may be used to sense a relative amount of detergent and/or soil in the wash fluid, which may be indicative of a relative amount of detergent and/or soil remaining in the load prior to a rinse phase of the wash cycle. Thus, for example, in some embodiments, when a fluid property indicates that a relatively larger amount of detergent and/or soil remains in the load, a fill rinse operation may be selected, while a lower detected amount of detergent and/or soil may be used to select a spray rinse operation instead.
Numerous variations and modifications will be apparent to one of ordinary skill in the art, as will become apparent from the description below. Therefore, the invention is not limited to the specific implementations discussed herein.
Turning now to the drawings, wherein like numbers denote like parts throughout the several views,
The embodiments discussed hereinafter will focus on the implementation of the hereinafter-described techniques within a top-load residential laundry washing machine such as laundry washing machine 10, such as the type that may be used in single-family or multi-family dwellings, or in other similar applications. However, it will be appreciated that the herein-described techniques may also be used in connection with other types of laundry washing machines in some embodiments. For example, the herein-described techniques may be used in commercial applications in some embodiments. Moreover, the herein-described techniques may be used in connection with other laundry washing machine configurations.
Disposed within wash tub 16 is a wash basket 34 that is rotatable about a generally vertical axis A by a drive system 36. Wash basket 34 is generally perforated or otherwise provides fluid communication between an interior 38 of the wash basket 34 and a space 40 between wash basket 34 and wash tub 16. Drive system 36 may include, for example, an electric motor and a transmission and/or clutch for selectively rotating the wash basket 34. In some embodiments, drive system 36 may be a direct drive system, whereas in other embodiments, a belt or chain drive system may be used.
In addition, in some embodiments an agitator 42 such as an impeller, auger or other agitation element may be disposed in the interior 38 of wash basket 34 to agitate items within wash basket 34 during a washing operation. Agitator 42 may be driven by drive system 36, e.g., for rotation about the same axis as wash basket 34, and a transmission and/or clutch within drive system 36 may be used to selectively rotate agitator 42. In other embodiments, separate drive systems may be used to rotate wash basket 34 and agitator 42.
A water inlet 44 may be provided to dispense water into wash tub 16. In some embodiments, for example, hot and cold valves 46, 48 may be coupled to external hot and cold water supplies through hot and cold inlets 50, 52, and may output to one or more nozzles 54 to dispense water of varying temperatures into wash tub 16. In addition, a pump system 56, e.g., including a pump and an electric motor, may be coupled between a low point, bottom or sump in wash tub 16 and an outlet 58 to discharge greywater from wash tub 16.
In some embodiments, laundry washing machine 10 may also include a dispensing system 60 configured to dispense detergent, fabric softener and/or other wash-related products into wash tub 16. Dispensing system 60 may include one or more dispensers, and may be configured in some embodiments as automated dispensers that dispense controlled amounts of wash-related products, e.g., as may be stored in a reservoir (not shown) in laundry washing machine 10. In other embodiments, dispensing system 60 may be used to time the dispensing of wash-related products that have been manually placed in one or more reservoirs in the machine immediately prior to initiating a wash cycle. Dispensing system 60 may also, in some embodiments, receive and mix water with wash-related products to form one or more wash liquors that are dispensed into wash tub 16. In still other embodiments, no dispensing system may be provided, and a user may simply add wash-related products directly to the wash tub prior to initiating a wash cycle.
It will be appreciated that the particular components and configuration illustrated in
Further, laundry washing machine 10 also includes at least a weight sensor, a fluid level sensor, and a fluid property sensor. A weight sensor may be used to generate a signal that varies based in part on the mass or weight of the contents of wash tub 16. In the illustrated embodiment, for example, a weight sensor may be implemented in laundry washing machine 10 using one or more load cells 62 that support wash tub 16 on one or more corresponding support rods 30. Each load cell 62 may be an electro-mechanical sensor that outputs a signal that varies with a displacement based on load or weight, and thus outputs a signal that varies with the weight of the contents of wash tub 16. Multiple load cells 62 may be used in some embodiments, while in other embodiments, other types of transducers or sensors that generate a signal that varies with applied force, e.g., strain gauges, may be used. Furthermore, while load cells 62 are illustrated as supporting wash tub 16 on support rods 30, the load cells, or other appropriate transducers or sensors, may be positioned elsewhere in a laundry washing machine to generate one or more signals that vary in response to the weight of the contents of wash tub 16. In some embodiments, for example, transducers may be used to support an entire load washing machine, e.g., one or more feet of a machine. Other types and/or locations of transducers suitable for generating a signal that varies with the weight of the contents of a wash tub will be apparent to one of ordinary skill in the art having the benefit of the instant disclosure. In addition, in some embodiments, a weight sensor may also be used for vibration sensing purposes, e.g., to detect excessive vibrations resulting from an out-of-balance load. In other embodiments, however, no vibration sensing may be used, while in other embodiments, separate sensors may be used to sense vibrations.
A fluid level sensor may be used to generate a signal that varies with the level or height of fluid in wash tub 16. In the illustrated embodiment, for example, a fluid level sensor may be implemented using a pressure sensor 64 in fluid communication with a low point, bottom or sump of wash tub 16 through a tube 66 such that a pressure sensed by pressure sensor 64 varies with the level of fluid within the wash tub, as it will be understood that the addition of fluid to the wash tub will generate a hydrostatic pressure within the tube that varies with the level of fluid in the wash tub, and that may be sensed, for example, with a piezoelectric or other transducer disposed on a diaphragm or other movable element. It will be appreciated that a wide variety of pressure sensors may be used to provide fluid level sensing, including, among others, combinations of pressure switches that trigger at different pressures. It will also be appreciated that fluid level in the wash tub may also be sensed using various non-pressure based sensors, e.g., optical sensors, laser sensors, etc.
A fluid property sensor, e.g., a turbidity sensor 68, may be used to measure the turbidity or clarity of the fluid in wash tub 16, e.g., to sense the presence or relative amount of various wash-related products such as detergents or fabric softeners and/or to sense the presence or relative amount of soil in the fluid. Further, in some embodiments, turbidity sensor 68 may also measure other properties of the fluid in wash tub 16, e.g., conductivity and/or temperature. In other embodiments, separate sensors may be used to measure turbidity, conductivity and/or temperature, and further, other sensors may be incorporated to measure additional fluid properties. In other embodiments, no turbidity sensor may be used.
In addition, in some embodiments, a flow sensor 70 such as one or more flowmeters may be used to sense an amount of water dispensed into wash tub 16. In other embodiments, however, no flow sensor may be used. Instead, water inlet 44 may be configured with a static and regulated flow rate such that the amount of water dispensed is a product of the flow rate and the amount of time the water is dispensed. Therefore, in some embodiments, a timer may be used to determine the amount of water dispensed into wash tub 16.
Now turning to
As shown in
In some embodiments, controller 80 may operate under the control of an operating system and may execute or otherwise rely upon various computer software applications, components, programs, objects, modules, data structures, etc. In addition, controller 80 may also incorporate hardware logic to implement some or all of the functionality disclosed herein. Further, in some embodiments, the sequences of operations performed by controller 80 to implement the embodiments disclosed herein may be implemented using program code including one or more instructions that are resident at various times in various memory and storage devices, and that, when read and executed by one or more hardware-based processors, perform the operations embodying desired functionality. Moreover, in some embodiments, such program code may be distributed as a program product in a variety of forms, and that the invention applies equally regardless of the particular type of computer readable media used to actually carry out the distribution, including, for example, non-transitory computer readable storage media. In addition, it will be appreciated that the various operations described herein may be combined, split, reordered, reversed, varied, omitted, parallelized and/or supplemented with other techniques known in the art, and therefore, the invention is not limited to the particular sequences of operations described herein.
Now turning to
It will be appreciated that wash cycles can also vary in a number of respects. For example, additional phases, such as a pre-soak phase, may be included in some wash cycles, and moreover, some phases may be repeated, e.g., including multiple rinse and/or spin phases. Each phase may also have a number of different operational settings that may be varied for different types of loads, e.g., different times or durations, different water temperatures, different agitation speeds or strokes, different rinse operation types, different spin speeds, different water amounts, different wash product amounts, etc.
In some embodiments consistent with the invention, a load type may be automatically selected during the initial fill phase 102 based in part on weight and fluid level values sensed respectively by the weight and fluid level sensors 62, 64 after a selected amount of water has been dispensed by water inlet 44. In some embodiments, the automatic selection may be performed in response to selection of a particular mode (e.g., an “automatic” mode), while in other embodiments, automatic selection may be used for all wash cycles.
In some embodiments, the load type may be selected from among a plurality of different load types based in part of dry load weight and one or more water absorption parameters for the load determined from sensed weight and fluid level. Blocks 110-124, for example, illustrate one example sequence of operations for performing automatic load type selection in some embodiments of the invention. In block 110, a dry load weight is determined, e.g., by determining a weight value from weight sensor 62 prior to introducing water into wash tub 16. The dry weight may be calculated, for example, by subtracting from the weight sensed by weight sensor 62, the weight of wash tub 16 when empty (e.g., as stored in a memory or measured prior to placement of the load in the wash tub).
Next, in block 112, a selected amount of water is dispensed, e.g., by controlling valves 46, 48 of water inlet 44 to dispense a selected, e.g., a known, preset or predetermined, amount of water into the wash tub. In some embodiments, the amount of water may be determined by monitoring flow sensor 70, while in other embodiments, the amount of water may be determined by monitoring the fill duration and multiplying by a known flow rate of the water inlet 44.
Blocks 114-116 next determine weight and fluid level values based upon outputs of the weight and fluid level sensors 62, 64 after the selected amount of water has been dispensed into the wash tub. In some embodiments, dispensing of water by water inlet 44 may be paused at least momentarily prior to sensing the weight and fluid level and/or selecting a load type, while in some embodiments, the dispensing of water may be continued during the determination of weight and fluid level and/or selection of load type.
In some embodiments, weight and fluid level values determined in blocks 114 and 116 may be correlated or otherwise associated with the selected amount of dispensed water. Further, in some embodiments, the weight and fluid level values may be correlated to the same amount of dispensed water, while in other embodiments, the weight and fluid level values may be correlated to different amounts of dispensed water, i.e., the weight and fluid level may be measured after different amounts of water have been dispensed into the wash tub. Further, as will become more apparent below, in some embodiments multiple weight and/or fluid level values may be collected and correlated with multiple amounts of dispensed water.
Next, in block 118, one or more water absorption parameters is calculated, e.g., based upon the weight and fluid level values, the dry weight of the load, and the amount of dispensed water, and then in block 120, a load type is determined based upon the one or more determined water absorption parameters.
In one embodiment, for example, one type of water absorption parameter, referred to herein as a combined water absorption parameter, may be calculated using Eq. (1) below:
M
T=(Lim0→x% MTLC,Lim0→x% MTPS) (1)
where X represents time, MT is the combined water absorption parameter, Lim0→x% MTLC is a load cell-based water absorption limit parameter using a load cell-measured representation of the water content retained in the load items, and Lim0→x% MTPS is a pressure sensor-based water absorption limit parameter using a pressure sensor-measured representation of the water retained in the load items.
In addition, in this embodiment, each load type among multiple supported load types may be associated with a constant (e.g., a single value or a range of values) that may be determined empirically for that load type, such that a comparison of a water absorption parameter such as the aforementioned combined water absorption parameter with the constants associated with the different load types may be used to select a matching load type for the load. Further, each load type may be associated with additional constants, e.g., based upon dry load weight, such that selection of a matching load type may be based on multiple parameters or values.
It will be appreciated that in some embodiments, different load types may have overlapping characteristics and constants such that determination of a load type based upon one or more water absorption parameters may present a nonlinear system, and as such, various nonlinear solution techniques, e.g., fuzzy logic, artificial neural networks, etc. may be used to select a load type based upon one or more water absorption parameters.
Once a load type is selected in block 120, block 122 next configures the wash cycle based on the selected load type. For example, each load type may be associated with a set of operational settings stored in controller 80 such that selection of a particular load type causes controller 80 to access the set of operational settings for the selected load type when completing the remainder of the wash cycle.
Next, block 124 dispenses an additional amount of water to complete the fill cycle. For example, the additional amount of water may be selected to provide a total amount of dispensed water selected based upon load type or selected via a separate load size selection by the user. In other embodiments, the amount of water dispensed in block 112 may be the total amount of water dispensed during the fill phase, and block 124 may be omitted. Nonetheless, in some embodiments, even when no additional water is dispensed after selecting load type, the load type is selected prior to transitioning to the wash phase, and thus prior to any agitation of the load and/or draining of fluid from the wash tub. Furthermore, it will be appreciated that the amount of time expended selecting the load type may be minimal or even imperceptible in some embodiments.
In some embodiments, and as noted above determination of a load type may also be based in part on one or more fluid properties sensed by a fluid property sensor 68. In addition, in some embodiments, additional operational settings may be determined for the wash cycle based at least in part on sensed fluid properties.
For example, in one example embodiment, a dispensing system may dispense a predetermined amount of detergent based upon a load type, weight, etc. A fluid property sensor may be placed in line with either a secondary pump used for recirculating wash fluid back into the wash tub or in line with a single pump that discharges fluid out of the machine. Once a predetermined dosage of water has been placed in the wash tub during dynamic selection of a load type, the fluid property sensor may take an initial measurement of water without detergent being added to the wash tub. After the load type is selected, a detergent may be added with a remaining appropriate dosage of water to wash the load. After a predetermined agitation has commenced another fluid property sensing may be used to check the detergent amount and add additional detergent if the wash liqueur concentration is low, e.g., by comparing a conductivity sensing with a turbidity sensing. Both may be checked throughout a wash cycle to confirm that the wash cycle is working effectively. Washing profile and stroke may also be adjusted in order to optimize the wash cycle. Once the wash cycle is complete the laundry washing machine may then conduct a spray rinse or fill rinse depending on the concentration of particulates in the wash fluid, as measured using the fluid property sensor. If the garments in the load are only lightly soiled for example a spray rinse may be selected, but if heavy concentrations of soil and/or detergent are present a deep water rinse may be selected instead. With either option selected, the length of time of the rinse operation may be adjusted based on turbidity and conductivity sensing. Further, if additional rinse is needed, an additional rinse may also be conducted, and once appropriate levels of rinse have been achieved the spin phase may be commenced, with configuration of the spin phase based principally on the selected load type.
Block 146 then detects the door closing using door switch 82. Block 146 may also check the output of weight sensor 62 to determine that a load has been placed in the wash tub, and then pass control to block 148 to initiate actuation of door lock 84 to lock the door. A safety algorithm may also be performed at this time to determine whether the machine is able to proceed with a wash cycle. Next, block 150 determines the load weight using weight sensor 62 and the tare weight determined in block 144.
Block 152 next controls water inlet 44 to dispense a selected amount of water, and blocks 154 and 156, which may be executed sequentially in either order or in parallel, and which may be executed during a pause in the dispensing of water or concurrently with dispensing additional water, determine respective weight-based and fluid level-based water absorption parameters, e.g., using Eqs. (2) and (3) below, which may then be used to generate the MT combined water absorption parameter as described above in connection with Eq. (1):
Lim
0→x% MTLC=(W1X+W2X−W0X)/(W1X+W2X)*100 (2)
Lim
0→x% MTPS=(PS1X+PS2X−PS0X)/(PS1X+PS2X)*100 (3)
where X represents time, Lim0→x% MTLC is a type of weight-based water absorption parameter referred to herein as a load cell-based water absorption limit parameter using a load cell-measured representation of the water content retained in the load items, Lim0→x% MTPS is a type of fluid level-based water absorption parameter referred to herein as a pressure sensor-based water absorption limit parameter using a pressure sensor-measured representation of the water retained in the load items, W0 represents a dry load weight, W1 represents a weight of water and load, W2 represents a weight of the boundary water (i.e., water that does not touch the load and has no chance to absorb, PS0 represents a volume of water dispensed, PS1 represents a volume of water detected, and PS2 represents a volume of the boundary water (i.e., water that does not touch the load and has no chance to absorb). It will be appreciated that, in some embodiments, one or more of the above values may be estimated based upon the geometry of a particular wash tub design and/or other design aspects of a particular washing machine design. Further, it will be appreciated that, in some embodiments, empirical testing may be used to derive the functions for any of the aforementioned water absorption parameters for particular washing machine designs relative to weight and fluid level sensor outputs.
Also concurrently or sequentially relative to block 154 and 156, block 158 may determine one or more fluid properties, e.g., turbidity and/or conductivity, of the fluid in the wash tub, desirably prior to adding any detergent using dispensing system 60 such that a reference value may be obtained against which the wash fluid after the addition of detergent may be compared. Obtaining fluid properties at this time may also be used in some embodiments to check for soil level, e.g., to detect excess soil when a fluid property exceeds to reference value. In some instances, it may also be desirable to agitate the load at this time and/or delay the fill to enable any detergent in the wash tub and/or soil in the load to more evenly disperse throughout the fluid in the wash tub prior to sensing by the fluid property sensor.
As noted above in some embodiments, the fluid property may be used in connection with configuring other operational settings for the wash cycle, either in combination with load type or separate therefrom. For example, in some embodiments, Eq. (4) may be used to evaluate suspended-sediment concentration based on sensed turbidity:
Log10(SSC)=a*Log10(Turb)+b (4)
where SSC is suspended-sediment concentration, in mg/L (amount of dry sediment per liter), Turb is turbidity, in nephelometric units (NTU), which measures how much light is scattered by suspended particles, a is a regression coefficient and b is Duan's bias correction factor.
In another embodiment, sensed turbidity (e.g., in NTU) may be compared against upper and lower limits of allowable detergent concentration in units of NTU such that when the sensed turbidity is between the limits no additional detergent is needed and the detergent concentration is correct.
Irrespective of whether fluid properties are used in the selection of load type, in the illustrated embodiment, each load type among multiple supported load types may be associated with a constant (e.g., a single value or a range of values) for each of the weight-based and fluid level-based water absorption parameters (e.g., the aforementioned load cell-based and pressure sensor-based water absorption limit parameters) that may be determined empirically for that load type, and such that a comparison of the weight-based and fluid level-based water absorption parameters with the constants associated with the different load types may be used to select a matching load type for the load. As such, block 160 compares these parameters against multiple load types, and block 162 selects a matching load type based upon the comparison.
Then, once a load type is selected, block 164 configures the wash cycle based on the selected load type, and may also at this time configure additional operational settings based at least in part on the sensed fluid properties. Some operational settings, for example, may be based solely on load type, while some operational settings may be based solely on fluid properties and some operational settings may be based on a combination of load type and fluid properties. Some operational settings may also be configured separate of load type and/or fluid properties. Block 166 next optionally dispenses an additional amount of water to complete the fill cycle, similar to blocks 122 and 124.
It will be appreciated that load type selection may be implemented in a number of other manners in other embodiments. For example, different equations may be used in other embodiments to represent different relationships between load type and load weight, fluid level, fluid properties, water absorption, and/or water absorption rate. In addition, it will be appreciated that while parameters and values are described in the illustrated embodiments in terms of weights, fluid levels, absorbency, etc., the actual parameters or values need not correspond to particular dimensions of weight, mass, volume, length, etc., as it is generally the fact that different loads have different relative weights, absorbencies, absorbency rates and other characteristics that may be utilized to categorize loads into different load types. For example, in the case of fluid level sensor 64 implemented using a pressure sensor, it is generally not necessary to convert a pressure value sensed by the sensor into any particular units of pressure, or even into any particular level, height, or volume of water in the wash tub that is represented by the sensor output. As such, various equations that distinguish between different load types based at least in part upon the outputs of weight and/or fluid level sensors may be used, as will be appreciated by those of ordinary skill the art having the benefit of the instant disclosure.
Further, multiple values of weight and/or fluid level may be collected at different times and/or after dispensing different amounts of water, and may be used to determine load type in different embodiments. In some embodiments, for example, water absorbency rate may be determined in part by determining multiple fluid level values sensed by the fluid level sensor while pausing dispensing of water by water inlet 44, with a decrease in fluid level being seen as water is absorbed into the load.
Now turning to
It will be appreciated, however, that in other embodiments no manual addition of detergent may be supported, such that all detergent is dispensed in an automated fashion using dispensing system 60. In such instances, dispensing of detergent by dispensing system 60 in block 172 may be unconditional. Further, it will be appreciated that the amount of detergent to dispense may be configured based upon load type, load weight, fluid properties and/or user settings in various embodiments.
The wash phase performed in block 174 may include, for example, agitation with agitator 42, with various operational settings configured for the wash phase in the manner discussed above. At the completion of the wash phase, block 176 drains the wash tub, and block 178 may determine one or more values for one or more fluid properties (e.g., turbidity and/or conductivity), this time to select from among multiple available rinse operation types to use in the upcoming rinse phase. Specifically, in the illustrated embodiment, the sensed fluid properties are used to determine in block 180 whether high detergent or soil is present in the draining fluid, and if so, control passes to block 182 to perform a fill rinse, e.g., a deep fill rinse. Block 184 then determines the one or more fluid properties at the completion of the deep fill rinse, and block 186 determines based upon the one or more fluid properties whether additional rinsing is required. If so, control returns to block 182 to perform another fill rinse operation. Otherwise, control passes to block 188 to proceed to the spin phase. Any remaining phases of the wash cycle are then completed in block 190, and upon completion of the wash cycle, the door is unlocked in block 192 by deactivating door lock 84.
Returning to block 180, if high detergent or soil is not present in the draining fluid, control passes to block 194 to perform a spray rinse. Block 196 then determines the one or more fluid properties at the completion of the spin rinse, and block 198 determines based upon the one or more fluid properties whether additional rinsing is required. If so, control returns to block 194 to perform another spray rinse operation. Otherwise, control passes to blocks 188-192 to complete the wash cycle in the manner described above.
It will be appreciated that the automatic cycle described in connection with
In still other embodiments, however, all of the features discussed above in connection with
V
D
=V
W(CDES−CMEAS) (5)
where VW is the volume of water dispensed to the wash tub, CDES is the desired concentration of detergent in the wash fluid, and CMEAS is the measured concentration of detergent in the wash fluid based upon turbidity and/or conductivity measurements taken by a fluid property sensor.
Thus, for example, a wash cycle may begin in block 222 by performing the fill and wash phases of the wash cycle, then block 224 may drain the wash tub, and block 226 may determine one or more fluid properties (e.g., turbidity and/or conductivity) to assess the amount of detergent and/or soil in the wash fluid being drained from the wash tub.
Block 228 may then use the one or more fluid properties to determine whether to perform a fill rinse or a spray rinse. As discussed above, a fill rinse may be desirable when higher levels of detergent and/or soil are present in the wash fluid, and as such, block 228 may compare against a threshold in some embodiments to select between the different rinse operation types.
If a fill rinse is indicated by block 228, control passes to block 230 to perform a fill rinse, e.g., a deep fill rinse. Block 232 then determines one or more fluid properties at the completion of the deep fill rinse, and block 234 determines based upon the one or more fluid properties whether additional rinsing is required. If so, control may, in this embodiment, return to block 228 to determine whether to perform a fill or spray rinse for the additional rinse operation (which it should be noted differs from the sequence of operations illustrated in
Returning to block 228, if a fill rinse is not indicated, control passes to block 240 to perform a spray rinse. Block 242 then determines the one or more fluid properties at the completion of the spin rinse, and block 244 determines based upon the one or more fluid properties whether additional rinsing is required. If so, control returns to block 228; otherwise, control passes to blocks 236-238 to complete the wash cycle in the manner described above.
Various additional modifications may be made to the illustrated embodiments consistent with the invention. Therefore, the invention lies in the claims hereinafter appended.
This application is related to the following applications, each of which is filed on even date herewith and assigned to the same assignees as the present application: U.S. patent application Ser. No. ______ entitled “LAUNDRY WASHING MACHINE WITH AUTOMATIC SELECTION OF LOAD TYPE,” U.S. patent application Ser. No. ______ entitled “LAUNDRY WASHING MACHINE WITH AUTOMATIC DETERGENT DISPENSING AND/OR RINSE OPERATION TYPE SELECTION,” and U.S. patent application Ser. No. ______ entitled “LAUNDRY WASHING MACHINE WITH AUTOMATIC DETECTION OF DETERGENT DEFICIT.” The disclosures of each of these applications are incorporated by reference herein.
