Ozone introduction time adjusting method and device, electronic equipment and washing equipment

Abstract

The invention provides an ozone introduction time adjusting method and device, electronic equipment and washing equipment. The method comprises the steps that the load capacity in the washing equipment is obtained; determining a target ozone concentration according to the loading capacity; determining the non-load ozone introduction time according to the rated output of the ozone generator and the target ozone concentration; correcting the non-load ozone introduction time according to the ozone supply influence parameters to obtain corrected ozone introduction time; and introducing ozone by adopting the corrected ozone introduction time. According to the technical scheme, three related factors including the rated yield, the load capacity and the temperature of the ozone generator are considered in the final corrected ozone introduction time, so that the ozone in the washing equipment can reach the target concentration value, and the problem that in the related technology, ozone is introduced only according to the preset time, so that the operation is not convenient is solved. And the target concentration value cannot be reached.

Description

Technical Field

[0001] The present application relates to the technical field of washing machines, and more specifically to a method, device, electronic device and washing device for adjusting ozone introduction time. Background Art

[0002] In the related art, when washing equipment uses ozone to assist in treating clothes, ozone needs to be introduced according to a preset introduction time. The preset introduction time is set based on an empirical value. The following situation often occurs: after ozone is introduced according to the preset introduction time, the ozone concentration does not reach the target concentration, affecting the effect of the ozone. Summary of the invention

[0003] The purpose of the present application is to provide an ozone introduction time adjustment method, device, electronic device and washing equipment, aiming to solve the problem in the related art that after ozone is introduced according to a preset introduction time, the ozone concentration does not reach the target concentration, thus affecting the effect of the ozone.

[0004] A first aspect of an embodiment of the present application provides a method for adjusting ozone introduction time, which is used in a washing device provided with an ozone generator, comprising:

[0005] Obtaining the load in the washing equipment;

[0006] determining a target ozone concentration according to the loading amount;

[0007] Determine the no-load ozone passing time according to the rated output of the ozone generator and the target ozone concentration;

[0008] The initial no-load ozone passage time is corrected according to the ozone supply influencing parameter to obtain the corrected ozone passage time, wherein the ozone supply influencing parameter includes at least one of the load amount and temperature.

[0009] Ozone is introduced using the corrected ozone introduction time.

[0010] A second aspect of the embodiment of the present application provides an ozone introduction time adjustment device for a washing device provided with an ozone generator, comprising:

[0011] An acquisition module, used for acquiring the load amount in the washing device;

[0012] A first determination module, used for determining a target ozone concentration based on the load;

[0013] A second determination module is used to determine the no-load ozone passing time according to the rated output of the ozone generator and the target ozone concentration;

[0014] A correction module, used for correcting the no-load ozone passage time according to an ozone supply influencing parameter to obtain a corrected ozone passage time, wherein the ozone supply influencing parameter includes at least one of the load amount and temperature;

[0015] A control module is used to introduce ozone using the corrected ozone introduction time.

[0016] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, a method for adjusting the ozone introduction time as described above is implemented.

[0017] A fourth aspect of the embodiments of the present application provides a washing device, comprising at least the electronic device as described above, an ozone generator, a weight sensor and a temperature sensor respectively connected to the electronic device; the ozone generator is used to produce ozone under the control of the electronic device;

[0018] The weight sensor is used to detect the load in the washing device;

[0019] The temperature sensor is used to detect the temperature in the washing device.

[0020] In a fifth aspect of the embodiments of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned ozone introduction time adjustment method are implemented.

[0021] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: determining the target ozone concentration according to the load, determining the no-load ozone time according to the rated output of the ozone generator and the target ozone concentration, correcting the no-load ozone time according to the ozone supply influencing parameter to obtain the corrected ozone introduction time, the ozone supply influencing parameter includes at least one of the load and temperature, and introducing ozone using the corrected ozone introduction time. The final corrected ozone introduction time takes into account three related factors: the rated output, load and temperature of the ozone generator, which is conducive to making the ozone in the washing equipment reach the target concentration value, and solves the problem in the related art that the washing equipment often cannot reach the target concentration value only according to the predetermined ozone time. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 A front view of a washing device provided in one embodiment of the present application;

[0023] Figure 2 A side view of a washing device provided in one embodiment of the present application;

[0024] Figure 3 A flow chart of a method for adjusting the ozone introduction time provided in one embodiment of the present application;

[0025] Figure 4 A flow chart of a method for correcting the no-load ozone passing time according to the load amount provided in one embodiment of the present application;

[0026] Figure 5 A flow chart of a method for correcting no-load ozone passing time according to temperature provided in one embodiment of the present application;

[0027] Figure 6 A schematic diagram of the structure of an ozone introduction time adjustment device provided in one embodiment of the present application;

[0028] Figure 7 is a schematic diagram of an electronic device provided by an embodiment of the present invention;

[0029] Figure 8 Schematic diagram of a washing device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0031] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings, and "multiple" generally includes at least two, but does not exclude the inclusion of at least one.

[0032] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0033] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a product or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such a product or system. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the product or system including the elements.

[0034] See attached Figure 1 and Figure 2 , the ozone generator 5 and the air pump 4 are installed at the bottom of the washing device housing 1, and can be optionally installed at the left position of the bottom of the housing 1 (or other positions not limited to the left side), and the ozone generator 5 and the air pump 4 can be independent and separated split types or integrated in the same housing. The ozone generator 5 is connected to the ozone gas inlet 7 at the door seal through a hose 6. A processor 2 is provided inside the washing device, and clothes are placed in the processing barrel 2. The function of the door seal 3 is to improve the sealing performance.

[0035] Figure 3 A flow chart of a method for adjusting the ozone introduction time provided in an embodiment of the present application is shown. For ease of explanation, only the part related to the present embodiment is shown, which is described in detail as follows:

[0036] A method for adjusting the ozone introduction time may include the following steps:

[0037] In step S102, the load amount in the washing device is obtained.

[0038] In this embodiment, a weight sensor may be used to detect the load amount, and a temperature sensor may be used to detect the temperature in the washing device.

[0039] In step S104, the target ozone concentration is determined according to the above load.

[0040] The load has a great influence on the target ozone concentration. The larger the load, the greater the blocking effect on ozone during operation, and the more difficult it is for ozone to act on the internal clothing. Therefore, when the load is large, the target ozone concentration can be appropriately increased to ensure the effect. When the load is small, the target ozone concentration can be appropriately reduced and the initial ozone introduction time can be shortened.

[0041] In this embodiment, a large amount of data on the load amount and the corresponding target ozone concentration under the ideal state can be pre-collected. A statistical table is generated. The statistical table records the target ozone concentration value corresponding to each load amount. According to the load amount detected above, the statistical table is queried to obtain the corresponding target ozone concentration.

[0042] See Table 1 for the effect of different loads and target concentrations on the initial ozone flow time under the condition that the ozone generator output is fixed at 100 mg / h.

[0043]

[0044] For example, when the load is less than or equal to 0.5 kg, the target concentration is 6 ppm. When the temperature is normal, the initial ozone flow time is 78 s. When the load is 0.6-1.5 kg, the target concentration is 10 ppm. When the temperature is normal, the initial ozone flow time is 160 s.

[0045] As shown in Table 2, under the condition that the ozone generator output is fixed at 50 mg / h and the temperature is fixed at room temperature, the effect of changes in load and target concentration on the initial ozone flow time.

[0046]

[0047] For example, when the loading is less than or equal to 0.5 kg, the target concentration is 6 ppm and the initial ozone flow time is 145 s. When the loading is in the range of 0.6-1.5, the target concentration is 10 ppm and the initial ozone flow time is 540 s.

[0048] The initial ozone time Tc is related to the rated output W and load F of the ozone generator. It can be seen that the larger the rated output W of the ozone generator, the smaller the no-load ozone time Tk. Then, the initial ozone time Tc is obtained after time correction according to the load F. The above time correction is △T1, and the above △T1 equation can be expressed as: △T1=f×△Ti1.

[0049] It should be noted that in this embodiment, the load weight is used to represent the load amount. In other embodiments, the load amount may be represented by the ratio of the load weight to the volume of the washing device accommodating chamber, or the ratio of the load volume to the volume of the washing device accommodating chamber. The data in the table provided in this embodiment are intended to be examples, and do not mean that only these data values ​​can be used.

[0050] In step S106, the no-load ozone passing time is determined according to the rated output of the ozone generator and the target ozone concentration.

[0051] In this embodiment, the no-load ozone passage time is related to the rated output of the ozone generator. The greater the rated output of the ozone generator, the greater the amount of ozone produced per unit time, and the shorter the initial ozone passage time to reach the above target concentration.

[0052] The rated output of the ozone generator affects the ozone flow time. The larger the rated output W of the ozone generator, the smaller the no-load ozone flow time Tk. The smaller the rated output W of the ozone generator, the larger the no-load ozone flow time Tk.

[0053] The no-load ozone passing time Tk required under no-load (empty barrel) influence is determined according to the rated output W of the ozone generator. The specific equation is: Tk = (C×V) / W, where C is the target ozone concentration, V is the volume of the clothing treatment barrel, and W is the rated output of the ozone generator.

[0054] In step S108, the no-load ozone passage time is corrected according to the ozone supply influencing parameter to obtain the corrected ozone passage time, wherein the ozone supply influencing parameter includes at least one of the load amount and temperature.

[0055] The larger the load and the more clothes there are, the slower the ozone concentration rises. When the output of the ozone generator is the same, the ozone flow time needs to be increased to reach the target concentration.

[0056] Optionally, in an implementation of this embodiment, the no-load ozone passing time may be corrected in the following manner:

[0057] First, the time influence coefficient is determined according to the ozone supply influencing parameter. The time influence coefficient is used to correct the time influence value. The time influence value is related to the rated output of the ozone generator or the load, and can be understood as a preset value determined according to a preset rule. Then, the time correction value is calculated according to the time influence coefficient and the time influence value. For example, the product of the time influence coefficient and the time influence value is used as the time correction value. Then, the corrected ozone introduction time is calculated according to the no-load ozone passage time and the time correction value. For example, the sum of the no-load ozone passage time and the time correction value is calculated to obtain the corrected ozone introduction time.

[0058] In this implementation, when the ozone supply influencing parameter is the load, the time influence coefficient is the load influence coefficient, and the time influence value is the first time influence value related to the rated output of the ozone generator; when the ozone supply influencing parameter is temperature, the time influence coefficient is the temperature influence coefficient, and the time influence value is the second time influence value related to the load. For the relationship between the ozone supply influencing parameter and the event influence coefficient, the relationship between the rated output of the ozone generator and the first time influence value, and the relationship between the load and the second time influence value, please refer to the detailed description below.

[0059] In this embodiment, referring to Table 1, when the load is less than or equal to 0.5 kg, the target concentration is 6 ppm. The initial ozone flow time is 78 s. When the load is in the range of 0.6-1.5 kg, the target concentration is 10 ppm. The initial ozone flow time is 160 s.

[0060] Different temperatures have different effects on the ozone decay rate. The higher the temperature, the faster the ozone decay rate and the slower the concentration increases. The lower the temperature, the slower the ozone decay rate and the faster the concentration increases.

[0061] See Table 3 for the effect of different loads, target concentrations and temperature changes on ozone introduction time under the condition that the ozone generator output is fixed at 100 mg / h.

[0062]

[0063] For example, as shown in the table, when the load is fixed at less than or equal to 0.5 kg and the target concentration is fixed at 6 ppm, the temperature range is different and the corresponding introduction time is different. When the temperature range is 35-45°C, the corresponding introduction time is 90s, when the temperature range is 45-55°C, the corresponding introduction time is 114s, and when the temperature range is 55-65°C, the corresponding introduction time is 144s.

[0064] In step S110, ozone is introduced using the above-corrected ozone introduction time.

[0065] The above technical solution of the present application determines the no-load ozone passage time according to the rated output of the ozone generator and the above target ozone concentration; the above no-load ozone passage time is corrected according to the ozone supply influencing parameter to obtain the corrected ozone introduction time, and the ozone supply influencing parameter includes at least one of the load amount and temperature. Ozone is introduced using the above corrected ozone introduction time. Introducing ozone after the corrected ozone introduction time is conducive to making the ozone in the washing equipment reach the target concentration value. It solves the problem in the related art that the target concentration value cannot be reached only according to the predetermined ozone passage time.

[0066] In some embodiments, see Appendix Figure 4 In step S106, the no-load ozone passing time is determined according to the rated output of the ozone generator and the above target ozone concentration, which may further include the following steps:

[0067] The no-load ozone passing time is determined based on the above-mentioned ozone generator rated output and the above-mentioned target ozone concentration.

[0068] In this embodiment, the no-load ozone passage time Tk required under no-load (empty barrel) influence is determined according to the rated output W of the ozone generator. The specific equation is: Tk = (C×V) / W, where C is the target ozone concentration, V is the volume of the clothing treatment barrel, and W is the rated output of the ozone generator.

[0069] In step S108, when the ozone supply influencing parameter is the load, the no-load ozone passage time is corrected according to the ozone supply influencing parameter to obtain a corrected ozone passage time, and the ozone supply influencing parameter includes at least one of the load and temperature, and may further include the following steps:

[0070] In step S402, a load influence coefficient is determined according to the load.

[0071] In some embodiments, in step S402, determining the load influence coefficient according to the load may further include the following steps:

[0072] Preset a plurality of corresponding relationships between load intervals and load influence coefficients. Determine the load interval to which the load belongs. Find the corresponding relationships between the plurality of load intervals and load influence coefficients, and determine the load influence coefficient corresponding to the load interval.

[0073] In some embodiments, the corresponding relationship between the load and the load influence coefficient is as follows: the larger the load, the larger the corresponding load influence coefficient. Alternatively, when the rated output of the ozone generator is the first output, the first output W is 100 mg / h, the volume of the laundry treatment barrel is the first volume, and the first volume is 120 L, when the barrel is empty, the load influence coefficient f can be selected as 0.

[0074] When the load F is less than or equal to 0.5 kg, the load influence coefficient f can be selected to be greater than or equal to 0.8 and less than or equal to 1.2, preferably, 1.

[0075] When the load F is greater than 0.5 kg and less than or equal to 1.5 kg, the load influence coefficient f can be selected to be greater than or equal to 2.85 and less than or equal to 3.25, preferably, 3.05.

[0076] When the load F is greater than 1.5 kg and less than or equal to 3 kg, the load influence coefficient f can be selected to be greater than or equal to 7.72 and less than or equal to 8.12, preferably, 7.92.

[0077] When the rated output of the ozone generator is the second output, the second output W is 50 mg / h, the volume of the clothing treatment barrel is the second volume, and the second volume is 120 L, when the barrel is empty, the load influence coefficient f can be selected as 0.

[0078] When the load F is less than or equal to 0.5 kg, the load influence coefficient f can be selected to be greater than or equal to 0.8 and less than or equal to 1.2, preferably, 1.

[0079] When the load F is greater than 0.5 kg and less than or equal to 1.5 kg, the load influence coefficient f can be selected to be greater than or equal to 10.24 and less than or equal to 10.64, preferably, 10.44.

[0080] When the load F is greater than 1.5 kg and less than or equal to 3 kg, the load influence coefficient f can be selected to be greater than or equal to 25.16 and less than or equal to 25.56, preferably, 25.36.

[0081] In step S404, the first time impact value is determined according to the rated output of the ozone generator.

[0082] In some embodiments, in step S404, determining the first time impact value according to the rated output of the ozone generator may further include the following steps:

[0083] Preset a correspondence between a plurality of ozone generator rated output intervals and a first time impact value. Determine the ozone generator rated output interval to which the ozone generator rated output belongs. Find the correspondence between the plurality of ozone generator rated output intervals and the first time impact value, and determine the first time impact value corresponding to the ozone generator rated output interval.

[0084] In this embodiment, the first time impact value is related to the rated output of the ozone generator. In theory, the smaller the rated output of the ozone generator, the larger the first time impact value. The larger the rated output of the ozone generator, the smaller the first time impact value.

[0085] In some embodiments, the correspondence between the rated output of the ozone generator and the first time impact value is as follows:

[0086] When the volume of the laundry treatment barrel is 120L, the rated output of the ozone generator is the first output, when the first output is 100mg / h, the first time impact value is greater than or equal to 20s and less than or equal to 24s. Preferably, it is 22s. When the rated output of the ozone generator is the second output, when the second output is 50mg / h, the first time impact value is greater than or equal to 32s and less than or equal to 36s. Preferably, it is 34s.

[0087] A correspondence table between the first time impact value △Ti1 and the rated output of the ozone generator can be generated through a large amount of data experimental statistics in advance. In actual application, the first time impact value △Ti1 can be obtained by querying the correspondence table according to the rated output of the ozone generator.

[0088] In some embodiments, the larger the weight range to which the load belongs, the larger the load impact coefficient; and / or, the larger the rated output of the ozone generator, the smaller the first time impact value.

[0089] In step S406, a first time correction value ΔT1 is determined according to the load influence coefficient and the first time influence value.

[0090] In this embodiment, the equation for the first time correction value ΔT1 can be determined by the following formula: ΔT1=f×ΔTi1, wherein f is the load influence coefficient, and ΔTi1 is the first time influence value.

[0091] In step S408, a first corrected ozone introduction time is determined according to the no-load ozone introduction time Tk and the first time correction value ΔT1.

[0092] In this embodiment, the first corrected ozone introduction time Tz1 can be determined by the following formula:

[0093] Tz1=Tk+△T1. Combining the above equations, Tz1 can be expressed in detail as Tz=(C×V) / W+f×△Ti1.

[0094] Among them, △T1 is the first time correction value, and Tk is the no-load ozone passing time.

[0095] In some embodiments, see Appendix Figure 5 In step S108, when the ozone supply influencing parameter is temperature, the no-load ozone passage time is corrected according to the ozone supply influencing parameter to obtain the corrected ozone passage time, which may further include the following steps:

[0096] In step S502, the temperature influence coefficient is determined according to the temperature and the corresponding relationship between the predetermined temperature interval and the temperature influence coefficient.

[0097] In this embodiment, the corresponding relationship between the time period of the volume and temperature of the laundry treatment tub and the temperature influence coefficient can be counted in advance. Then, according to the above corresponding relationship, according to the actual volume and temperature value of the laundry treatment tub, the corresponding relationship is queried to determine the temperature influence coefficient.

[0098] The distribution correspondence between the temperature interval and the temperature influence coefficient is preset. Moreover, the higher the temperature interval, the larger the corresponding temperature influence coefficient, or the distribution correspondence between the predetermined temperature interval and the temperature influence coefficient is as follows: when the volume of the laundry treatment barrel is 120L, the temperature is in the first temperature interval (for example, greater than or equal to 25°C and less than 35°C), the temperature influence coefficient n (or n1) is 0.

[0099] When the temperature is in the second temperature range (for example, greater than or equal to 35° C. and less than 45° C.), the temperature influence coefficient n (or n2) is greater than or equal to 0.8 and less than or equal to 1.2, and preferably, is 1.

[0100] When the temperature is in the third temperature range (for example, greater than or equal to 45° C. and less than 55° C.), the temperature influence coefficient n (or n3) is greater than or equal to 1.8 and less than or equal to 2.2, preferably, 2.

[0101] When the temperature is in the fourth temperature range (for example, greater than or equal to 55° C. and less than or equal to 65° C.), the temperature influence coefficient n (or n4) is greater than or equal to 2.3 and less than or equal to 2.7, preferably, 2.5.

[0102] In step S504, a second time impact value is determined according to the load.

[0103] In this embodiment, in step S504, determining the second time impact value according to the load may further include the following steps:

[0104] Preset a plurality of corresponding relationships between load intervals and second time impact values. Determine the load interval to which the load belongs among the plurality of load intervals. Find the corresponding relationships between the plurality of load intervals and second time impact values, and determine the second time impact value corresponding to the load interval.

[0105] The correspondence between the above-mentioned load and the second time impact value is as follows: the larger the load, the larger the corresponding second time impact value; or, when the rated output of the ozone generator is the first output, for example, 100 mg / h, and the load F belongs to the first load range (less than or equal to 0.5 kg), the second time impact value △Ti2 can be selected as b1, for example, 10s-14s, preferably 12s.

[0106] When the load F belongs to the second load interval (greater than 0.5 kg and less than or equal to 1.5 kg), the second time influence value △Ti2 can be selected as b2, b2 is greater than or equal to 18 s and less than or equal to 22 s, preferably, 20 s.

[0107] When the load F belongs to the third load interval (greater than 1.5 kg and less than or equal to 3 kg), the second time influence value △Ti2 can be selected as b3, b3 is greater than or equal to 23 s and less than or equal to 27 s, preferably, 25 s.

[0108] For example, when the actual load F is 2.0 kg and the load falls within the load interval of 1.6-3 kg, the second time impact value ΔTi2 corresponding to the load interval of 1.6-3 kg is determined to be greater than or equal to 13 s and less than or equal to 27 s, preferably 25 s.

[0109] In step S506, a second time correction value is determined according to the temperature influence coefficient and the second time influence value.

[0110] In this embodiment, the second time correction value can be expressed as ΔT2, and the equation of ΔT2 can be expressed as: ΔT2=nΔTi2, wherein n is the temperature influence coefficient, and ΔTi2 is the second time influence value.

[0111] In step S508, a second corrected ozone introduction time is determined according to the no-load ozone introduction time and the second time correction value.

[0112] In this embodiment, the second corrected ozone introduction time Tz2 can be expressed as Tz2=Tk+ΔT2. Combining the above equations, Tz2 can be expressed in detail as Tz2=(C×V) / W+nΔTi2.

[0113] Refer to the parameter table of ozone introduction time corresponding to different temperatures under the conditions that the rated output of the ozone generator is 50 mg / h, the target concentration is fixed at 6 ppm, and the load is less than or equal to 0.5 kg as shown in Table 4.

[0114]

[0115] When the output of the ozone generator is the second output, for example, 50 mg / h, the load is less than or equal to 0.5 kg, the target concentration is 6 ppm, and the temperature is room temperature, the introduction time is 145 s. When the temperature is 36-45°C, the introduction time is 165 s. When the temperature is 46-55°C, the introduction time is 205 s. When the temperature is 56-65°C, the introduction time is 255 s.

[0116] In some embodiments, when the ozone supply influencing parameters are the load amount and the temperature, the no-load ozone passage time is corrected according to the ozone supply influencing parameters to obtain the corrected ozone passage time, comprising the following steps:

[0117] Determining a load influence coefficient according to the load;

[0118] Determine the first-time impact value based on the rated output of the ozone generator;

[0119] Determine a first time correction value ΔT1 according to the load influence coefficient and the first time influence value;

[0120] The first corrected ozone introduction time Tz1 is determined according to the no-load ozone introduction time Tk and the first time correction value ΔT1.

[0121] Determining the temperature influence coefficient according to the temperature and the distribution correspondence between the predetermined temperature interval and the temperature influence coefficient;

[0122] determining a second time impact value according to the load;

[0123] determining a second time correction value according to the temperature influence coefficient and the second time influence value;

[0124] A third corrected ozone introduction time is determined according to the first corrected ozone introduction time Tz1 and the second time correction value.

[0125] In this embodiment, the third corrected ozone introduction time Tz3 can be expressed as Tz3=Tz1+△T2=Tk+△T1+△T2. Combining the above equations, Tz3 can be expressed in detail as Tz3=(C×V) / W+f×△Ti1+n△Ti2.

[0126] Second, see Appendix Figure 6 As shown, the present application proposes an ozone introduction time adjustment device 2, comprising:

[0127] An acquisition module 41 is used to acquire the load amount in the washing device;

[0128] A first determination module 42, configured to determine a target ozone concentration according to the load;

[0129] A second determination module 43 is used to determine the no-load ozone passing time according to the rated output of the ozone generator and the target ozone concentration;

[0130] A correction module 44, configured to correct the no-load ozone passage time according to an ozone supply influencing parameter to obtain a corrected ozone passage time, wherein the ozone supply influencing parameter includes at least one of the load amount and temperature;

[0131] The control module 45 is used to introduce ozone using the corrected ozone introduction time.

[0132] In some embodiments, the correction module 44 is further configured to determine a load influence coefficient according to the load when the ozone supply influencing parameter is the load;

[0133] Determine the first-time impact value based on the rated output of the ozone generator;

[0134] Determine a first time correction value according to the load influence coefficient and the first time influence value;

[0135] A first corrected ozone introduction time is determined according to the no-load ozone introduction time and the first time correction value.

[0136] In some embodiments, the correction module 44 is further used to determine the temperature influence coefficient according to the temperature and the distribution correspondence between the predetermined temperature interval and the temperature influence coefficient when the ozone supply influencing parameter is temperature;

[0137] determining a second time impact value according to the load;

[0138] determining a second time correction value according to the temperature influence coefficient and the second time influence value;

[0139] A second corrected ozone introduction time is determined according to the no-load ozone introduction time and the second time correction value.

[0140] In some embodiments, the correction module 44 is further configured to, when the ozone supply influencing parameters are the load and the temperature,

[0141] Determining a load influence coefficient according to the load;

[0142] Determine the first-time impact value based on the rated output of the ozone generator;

[0143] Determine a first time correction value according to the load influence coefficient and the first time influence value;

[0144] Determining a first corrected ozone introduction time according to the no-load ozone introduction time and the first time correction value;

[0145] Determining the temperature influence coefficient according to the temperature and the distribution correspondence between the predetermined temperature interval and the temperature influence coefficient;

[0146] determining a second time impact value according to the load;

[0147] determining a second time correction value according to the temperature influence coefficient and the second time influence value;

[0148] A third corrected ozone introduction time is determined according to the first corrected ozone introduction time and the second time correction value.

[0149] Figure 7 is a schematic diagram of an electronic device provided in an embodiment of the present application. The electronic device 3 of this embodiment includes: a processor 30, a memory 31, and a computer program 32 stored in the memory 31 and executable on the processor 30, such as a control program for adjusting the ozone introduction time. When the processor 30 executes the computer program 32, the steps in the above-mentioned method embodiments are implemented, such as Figure 3Alternatively, when the processor 30 executes the computer program 32, the functions of the modules / units in the above-mentioned device embodiments are realized, for example, Figure 6 The functions of the acquisition module 41 to the control module 45 are shown.

[0150] Exemplarily, the computer program 32 may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 32 in the electronic device 3.

[0151] The electronic device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will appreciate that Figure 7 It is only an example of the electronic device 3 and does not constitute a limitation of the electronic device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the above-mentioned electronic device 3 may also include input and output devices, network access devices, buses, etc.

[0152] The processor 30 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0153] The memory 31 may be an internal storage unit of the electronic device 3, such as a hard disk or memory of the electronic device 3. The memory 31 may also be an external storage device of the electronic device 3, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 3. Further, the memory 31 may include both an internal storage unit and an external storage device of the electronic device 3. The memory 31 is used to store the computer program and other programs and data required by the electronic device. The memory 31 may also be used to temporarily store data that has been output or is to be output.

[0154] Figure 8 1 is a schematic diagram of the structure of a washing device proposed in the present application, a washing device 4, comprising the above-mentioned electronic device 3, an ozone generator 41, a weight sensor 42 and a temperature sensor 43 respectively connected to the above-mentioned electronic device 3. The above-mentioned ozone generator 41 is used to produce ozone under the control of the above-mentioned electronic device 3. The above-mentioned weight sensor 42 is used to detect the load in the washing device. The above-mentioned temperature sensor 43 is used to detect the temperature in the washing device.

[0155] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0156] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0157] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0158] In the embodiments provided in the present application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0159] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0160] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0161] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0162] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for adjusting the time of ozone introduction, used in a washing device equipped with an ozone generator, characterized in that: include: Obtaining the load in the washing equipment; determining a target ozone concentration according to the loading amount; Determine the no-load ozone passing time according to the rated output of the ozone generator and the target ozone concentration; Correcting the no-load ozone passage time according to an ozone supply influencing parameter to obtain a corrected ozone passage time, wherein the ozone supply influencing parameter includes at least one of the load amount and temperature; Ozone is introduced using the corrected ozone introduction time.

2. The ozone introduction time adjustment method according to claim 1, wherein the target ozone concentration is determined according to the load, comprising: The target ozone concentration is determined according to the corresponding relationship between the load and the target ozone concentration, wherein the higher the weight interval to which the load belongs, the greater the target ozone concentration.

3. The method for adjusting the ozone introduction time according to claim 1, characterized in that: In the case where the ozone supply influencing parameter is the load amount, the no-load ozone passing time is corrected according to the ozone supply influencing parameter to obtain the corrected ozone passing time, including: Determining a load influence coefficient according to the load; Determine the first-time impact value based on the rated output of the ozone generator; Determine a first time correction value according to the load influence coefficient and the first time influence value; A first corrected ozone introduction time is determined according to the no-load ozone introduction time and the first time correction value.

4. The method for adjusting the ozone introduction time according to claim 1, characterized in that: In the case where the ozone supply influencing parameter is temperature, the no-load ozone supply time is corrected according to the ozone supply influencing parameter to obtain the corrected ozone supply time, including: Determining the temperature influence coefficient according to the temperature and the distribution correspondence between the predetermined temperature interval and the temperature influence coefficient; Determining a second time impact value according to the load; determining a second time correction value according to the temperature influence coefficient and the second time influence value; A second corrected ozone introduction time is determined according to the no-load ozone introduction time and the second time correction value.

5. The method for adjusting the ozone introduction time according to claim 1, characterized in that: In the case where the ozone supply influencing parameters are the load amount and the temperature, the no-load ozone passing time is corrected according to the ozone supply influencing parameters to obtain the corrected ozone passing time, including: Determining a load influence coefficient according to the load; Determine the first-time impact value based on the rated output of the ozone generator; Determine a first time correction value according to the load influence coefficient and the first time influence value; Determining a first corrected ozone introduction time according to the no-load ozone introduction time and the first time correction value; Determining the temperature influence coefficient according to the temperature and the distribution correspondence between the predetermined temperature interval and the temperature influence coefficient; Determining a second time impact value according to the load; determining a second time correction value according to the temperature influence coefficient and the second time influence value; A third corrected ozone introduction time is determined according to the first corrected ozone introduction time and the second time correction value.

6. The method for adjusting the ozone introduction time according to claim 3, characterized in that: The larger the weight interval to which the load belongs, the larger the load influence coefficient; and / or, the larger the rated output of the ozone generator, the smaller the first time influence value.

7. The method for adjusting the ozone introduction time according to claim 4, characterized in that: The distribution correspondence between the temperature interval segments and the temperature influence coefficient is preset; Moreover, the higher the temperature range, the greater the corresponding temperature influence coefficient, or, The corresponding relationship between the predetermined temperature interval and the distribution of the temperature influence coefficient is as follows: When the temperature is in the first temperature range, the temperature influence coefficient is n1; When the temperature is in the second temperature range, the temperature influence coefficient is n2, n2 is greater than or equal to 0.8 and less than or equal to 1.2, and n2>n1; When the temperature is in the third temperature range, the temperature influence coefficient is n3, and n3 is greater than or equal to 1.8 and less than or equal to 2.2; When the temperature is in the fourth temperature range, the temperature influence coefficient is n4, and n4 is greater than or equal to 2.3 and less than or equal to 2.7; The temperature values ​​of the first temperature interval, the second temperature interval, the third temperature interval and the fourth temperature interval gradually increase.

8. The method for adjusting the ozone introduction time according to claim 4, characterized in that: The corresponding relationship between the load and the second time impact value is as follows: The greater the load, the greater the corresponding second time impact value; or, When the load F belongs to the first load interval, the second time impact value is b1; When the load F belongs to the second load interval, the second time impact value is b2, b2 is greater than or equal to 18s and less than or equal to 22s, and b2>b1; When the load F belongs to the third load interval, the second time impact value is b3, and b3 is greater than or equal to 23s and less than or equal to 27s.

9. The method for adjusting the ozone introduction time according to claim 3, characterized in that: The corresponding relationship between the load and the load influence coefficient is as follows: The larger the load, the larger the corresponding load influence coefficient; or, When the rated output of the ozone generator is the first output and the volume of the laundry treatment tub is the first volume, When the barrel is empty, the load influence coefficient f is 0; When the load F belongs to the first load interval, the load influence coefficient f is greater than or equal to 0.8 and less than or equal to 1.2; When the load F belongs to the second load interval, the load influence coefficient f is greater than or equal to 2.85 and less than or equal to 3.25; When the load F belongs to the third load interval, the load influence coefficient f is greater than or equal to 7.72 and less than or equal to 8.12; When the rated output of the ozone generator is the second output and the volume of the laundry treatment barrel is the first volume, when the barrel is empty, the load influence coefficient f is 0; When the load F belongs to the first load interval, the load influence coefficient f is greater than or equal to 0.8 and less than or equal to 1.2; When the load F belongs to the second load interval, the load influence coefficient f is greater than or equal to 10.24 and less than or equal to 10.64; When the load F belongs to the third load interval, the load influence coefficient f is greater than or equal to 25.16 and less than or equal to 25.

56.

10. The method for adjusting the ozone introduction time according to claim 3, characterized in that: The corresponding relationship between the rated output of the ozone generator and the first-time impact value is as follows: When the rated output of the ozone generator is the first output, the first time impact value is greater than or equal to 20s and less than or equal to 24s; When the rated output of the ozone generator is the second output, the first time impact value is greater than or equal to 32s and less than or equal to 36s; The second yield is less than the first yield.

11. The method for adjusting the ozone introduction time according to claim 1, characterized in that: The step of correcting the no-load ozone passing time according to the ozone supply influencing parameter comprises: Determine a time influence coefficient according to the ozone supply influence parameter, wherein the time influence coefficient is used to correct a time influence value, wherein the time influence value is related to the rated output of the ozone generator or the load; Calculate a time correction value according to the time impact coefficient and the time impact value; The corrected ozone introduction time is calculated according to the no-load ozone introduction time and the time correction value.

12. An ozone introduction time adjustment device for use in a washing device equipped with an ozone generator, characterized in that: include: An acquisition module, used for acquiring the load amount in the washing device; A first determination module, used to determine a target ozone concentration according to the load; A second determination module is used to determine the no-load ozone passing time according to the rated output of the ozone generator and the target ozone concentration; A correction module, used for correcting the no-load ozone passage time according to an ozone supply influencing parameter to obtain a corrected ozone passage time, wherein the ozone supply influencing parameter includes at least one of the load amount and temperature; A control module is used to introduce ozone using the corrected ozone introduction time.

13. An electronic device, characterized in that: include: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 11 when executing the computer program.

14. A washing device, characterized in that: At least comprising the electronic device as claimed in claim 13, an ozone generator, a weight sensor and a temperature sensor respectively connected to the electronic device; the ozone generator is used to produce ozone under the control of the electronic device; The weight sensor is used to detect the load in the washing device; The temperature sensor is used to detect the temperature in the washing device.

Images