Ozone introduction time adjustment methods, devices, electronic equipment and washing equipment

Abstract

This application proposes a method, apparatus, electronic device, and washing equipment for adjusting ozone introduction time. The method includes: obtaining the load in the washing equipment; determining a target ozone concentration based on the load; determining an off-load ozone introduction time based on the rated output of the ozone generator and the target ozone concentration; correcting the off-load ozone introduction time based on ozone supply influence parameters to obtain a corrected ozone introduction time; and introducing ozone using the corrected ozone introduction time. The technical solution of this application, with its final corrected ozone introduction time taking into account three relevant factors—the rated output of the ozone generator, the load, and temperature—is beneficial in ensuring that the ozone in the washing equipment reaches the target concentration value. This solves the problem in related technologies where simply introducing ozone according to a predetermined time often fails to achieve the target concentration value.

Description

Technical Field

[0001] This application relates to the field of washing machine technology, and more specifically to a method, apparatus, electronic device, and washing equipment for adjusting ozone introduction time. Background Technology

[0002] In related technologies, when washing equipment uses ozone to treat clothes, ozone needs to be introduced according to a preset time. The preset time is set based on experience. The following situation often occurs: after introducing ozone according to the preset time, the ozone concentration does not reach the target concentration, which affects the effectiveness of ozone. Summary of the Invention

[0003] The purpose of this application is to provide a method, apparatus, electronic device, and washing device for adjusting ozone introduction time, aiming to solve the problem in the related art where the ozone concentration does not reach the target concentration after ozone is introduced according to the preset introduction time, thus affecting the effectiveness of ozone.

[0004] The first aspect of this application provides a method for adjusting ozone introduction time, used in a washing device equipped with an ozone generator, comprising:

[0005] Obtain the load on the washing equipment;

[0006] The target ozone concentration is determined based on the load.

[0007] The no-load ozone supply time is determined based on the rated output of the ozone generator and the target ozone concentration.

[0008] The initial no-load ozone inlet time is corrected based on ozone supply influence parameters to obtain the corrected ozone inlet time. These ozone supply influence parameters include at least one of the load and temperature.

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

[0010] A second aspect of this application provides an ozone introduction time adjustment device for a washing device equipped with an ozone generator, comprising:

[0011] The acquisition module is used to acquire the load in the washing equipment;

[0012] The first determining module is used to determine the target ozone concentration based on the load amount;

[0013] The second determining module is used to determine the no-load ozone supply time based on the rated output of the ozone generator and the target ozone concentration.

[0014] The correction module is used to correct the no-load ozone passage time according to the ozone supply influence parameters to obtain the corrected ozone passage time. The ozone supply influence parameters include at least one of the load and temperature.

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

[0016] A third aspect of this application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement any of the above-described methods for adjusting ozone introduction time.

[0017] A fourth aspect of this application provides a washing device, which includes at least the electronic device described above, an ozone generator, a weight sensor, and a temperature sensor respectively connected to the electronic device; the ozone generator is used to generate ozone under the control of the electronic device.

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

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

[0020] In a fifth aspect of this application, a computer-readable storage medium is provided, which stores a computer program that, when executed by a processor, implements the steps of the ozone introduction time adjustment method described above.

[0021] The beneficial effects of this invention compared to existing technologies are as follows: The target ozone concentration is determined based on the load; the no-load ozone induction time is determined based on the rated output of the ozone generator and the target ozone concentration; the no-load ozone induction time is corrected based on ozone supply influencing parameters to obtain a corrected ozone induction time. These ozone supply influencing parameters include at least one of the load and temperature. The corrected ozone induction time is used to introduce ozone. The final corrected ozone induction time takes into account three relevant factors: the rated output of the ozone generator, the load, and the temperature. This facilitates achieving the target ozone concentration in the washing equipment and solves the problem in related technologies where simply following a predetermined ozone induction time often fails to achieve the target concentration. Attached Figure Description

[0022] Figure 1 A front view of a washing device provided in an embodiment of this application;

[0023] Figure 2 A side view of a washing device provided in an embodiment of this application;

[0024] Figure 3 A flowchart illustrating an ozone introduction time adjustment method provided in an embodiment of this application;

[0025] Figure 4 A flowchart illustrating a method for correcting the ozone passage time under no-load based on the load amount, provided in an embodiment of this application;

[0026] Figure 5 A flowchart of a method for correcting the ozone passage time without load based on temperature, provided in an embodiment of this application;

[0027] Figure 6 This is a schematic diagram of the structure of an ozone introduction time adjustment device provided in an embodiment of this application;

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

[0029] Figure 8 This is a schematic diagram of the washing equipment provided in an embodiment of the present invention. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only 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 making creative efforts shall fall within the scope of protection of the present invention.

[0031] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” used in the embodiments of this invention and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise. “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 merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0033] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a product or system comprising a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a product or system. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the product or system that includes said element.

[0034] See appendix Figure 1 and Figure 2 The ozone generator 5 and air pump 4 are installed at the bottom of the washing machine housing 1, optionally on the left side of the bottom of housing 1 (or not limited to other positions on the left side), and the ozone generator 5 and air pump 4 can be separate units or integrated into the same housing. The ozone generator 5 is connected to the ozone gas inlet 7 at the door seal via a hose 6. A processor 2 is installed inside the washing machine, and clothes are placed in the processing tub 2. The door seal 3 is used to improve sealing.

[0035] Figure 3 A flowchart of an ozone introduction time adjustment method according to an embodiment of this application is shown. For ease of explanation, only the parts relevant to this embodiment are shown, and are described in detail below:

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

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

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

[0039] In step S104, the target ozone concentration is determined based on the above-mentioned load.

[0040] The ozone load has a significant impact on the target ozone concentration. A higher load increases the ozone blockage during operation, making it more difficult for ozone to act on inner clothing. Therefore, when the load is high, the target ozone concentration can be appropriately increased to ensure effectiveness. When the load is low, the target ozone concentration and the initial ozone introduction time should be appropriately reduced.

[0041] In this embodiment, a large amount of data on ideal load levels and corresponding target ozone concentrations can be pre-collected. A statistical table is then generated. This table records the target ozone concentration value corresponding to each load level. Based on the detected load level, the corresponding target ozone concentration is obtained by querying the statistical table.

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

[0043]

[0044] For example, with a loading of 0.5 kg or less, the target concentration is 6 ppm. At room temperature, the initial ozone induction time is 78 s. With a loading of 0.6-1.5 kg, the target concentration is 10 ppm. At room temperature, the initial ozone induction time is 160 s.

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

[0046]

[0047] For example, with a loading rate of 0.5 kg or less, the target concentration is 6 ppm and the initial ozone passage time is 145 s. With a loading rate in the range of 0.6-1.5 kg, the target concentration is 10 ppm and the initial ozone passage time is 540 s.

[0048] The initial ozone supply time Tc is related to the rated output W of the ozone generator and the load F. It can be seen that the larger the rated output W of the ozone generator, the smaller the no-load ozone supply time Tk. After time correction based on the load F, the initial ozone supply time Tc is obtained. This time correction is ΔT1, and the equation for ΔT1 can be expressed as: ΔT1=f×ΔTi1.

[0049] It should be noted that in this embodiment, the load is expressed as the weight of the load. In other embodiments, the load can be expressed as the ratio of the load weight to the volume of the washing equipment's cavity, or as the ratio of the load's volume to the volume of the washing equipment's cavity. The data in the tables provided in this embodiment are intended as examples and do not imply that only these data values ​​can be used.

[0050] In step S106, the no-load ozone supply time is determined based on 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 higher 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 target concentration.

[0052] The rated output of an ozone generator affects the ozone emission time. A higher rated output (W) results in a shorter no-load ozone emission time (Tk). Conversely, a lower rated output (W) results in a longer no-load ozone emission time (Tk).

[0053] The required ozone passage time Tk under no-load (empty tank) conditions is determined based on the rated output W of the ozone generator. The specific formula is: Tk=(C×V) / W, where C is the target ozone concentration, V is the volume of the laundry treatment tank, and W is the rated output of the ozone generator.

[0054] In step S108, the ozone inlet time without load is corrected according to the ozone supply influence parameters to obtain the corrected ozone inlet time. The ozone supply influence parameters include at least one of the load amount and temperature.

[0055] The greater the load and the more clothes, the slower the ozone concentration rises. Under the same ozone generator output, the ozone transmission time needs to be increased to reach the target concentration.

[0056] Optionally, in one implementation of this embodiment, the no-load ozone passage time can be corrected in the following way:

[0057] First, a time influence coefficient is determined based on the ozone supply influence parameters. This time influence coefficient is used to correct the time influence value, which is related to the rated output of the ozone generator or the load. This can be understood as a preset value determined according to a preset rule. Next, a time correction value is calculated based on 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 inlet time is calculated based on the no-load ozone inlet time and the time correction value. For example, the sum of the no-load ozone inlet time and the time correction value is calculated to obtain the corrected ozone inlet time.

[0058] In this implementation, when the ozone supply influencing parameter is the load level, the time influence coefficient is the load level 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 level. For the relationships 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 level and the second time influence value, please refer to the detailed descriptions 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 passage 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 passage time is 160 s.

[0060] Different temperatures have varying effects on the rate of ozone decay. Higher temperatures result in a faster rate of ozone decay and a slower increase in concentration. Conversely, lower temperatures lead to a slower rate of ozone decay and a faster increase in concentration.

[0061] See Table 3 for the effect of different loads, target concentrations, and temperature variations 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, with a fixed load of 0.5 kg or less and a fixed target concentration of 6 ppm, the corresponding inlet time varies depending on the temperature range. The inlet time is 90 s for a temperature range of 35-45℃, 114 s for a temperature range of 45-55℃, and 144 s for a temperature range of 55-65℃.

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

[0065] The technical solution described in this application determines the no-load ozone induction time based on the rated output of the ozone generator and the target ozone concentration. The no-load ozone induction time is then corrected based on ozone supply influence parameters, resulting in a corrected ozone induction time. These ozone supply influence parameters include at least one of the load and temperature. Ozone is introduced using the corrected ozone induction time. Introducing ozone using the corrected ozone induction time helps ensure that the ozone concentration in the washing equipment reaches the target value. This solves the problem in related technologies where simply following a predetermined ozone induction time does not achieve the target concentration value.

[0066] In some embodiments, see Appendix Figure 4 In step S106, determining the no-load ozone supply time based on the rated output of the ozone generator and the aforementioned target ozone concentration may further include the following steps:

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

[0068] In this embodiment, the required ozone passage time Tk under no-load (empty tank) 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 tank, and W is the rated output of the ozone generator.

[0069] In step S108, when the ozone supply influence parameter is the load amount, the ozone inlet time without load is corrected according to the ozone supply influence parameter to obtain the corrected ozone inlet time. The ozone supply influence parameter includes at least one of the load amount and temperature, and may further include the following steps:

[0070] In step S402, the load influence coefficient is determined based on the above load amount.

[0071] In some embodiments, step S402, determining the load influence coefficient based on the load amount, may further include the following steps:

[0072] Multiple load range intervals and their corresponding load influence coefficients are pre-defined. The load range to which the load belongs is determined. The correspondence between the multiple load range intervals and their corresponding load influence coefficients is found, and the load influence coefficient corresponding to the load range interval is determined.

[0073] In some embodiments, the relationship between load and 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 tub is the first volume, and the first volume is 120 L, the load influence coefficient f can be selected as 0 when the tub is empty.

[0074] When the load F is less than or equal to 0.5 kg, the load influence coefficient f can 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 as 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 as greater than or equal to 7.72 and less than or equal to 8.12, preferably 7.92.

[0077] When the ozone generator's rated output is the second output, with the second output W being 50 mg / h, and the laundry treatment tank's volume is the second volume, with the second volume being 120 L, the load influence coefficient f can be selected as 0 when the tank is empty.

[0078] When the load F is less than or equal to 0.5 kg, the load influence coefficient f can 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 as 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 as 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-influence value is determined based on the rated output of the ozone generator.

[0082] In some embodiments, step S404, determining the first time-influence value based on the rated output of the ozone generator, may further include the following steps:

[0083] A pre-defined correspondence between multiple rated output ranges of ozone generators and their corresponding first-time impact values ​​is established. The rated output range of the ozone generator to which the rated output belongs is determined. The correspondence between the multiple rated output ranges of ozone generators and their corresponding first-time impact values ​​is found, and the first-time impact value corresponding to the rated output range of the ozone generator is determined.

[0084] In this embodiment, the first-time impact value is related to the rated output of the ozone generator. Theoretically, the lower the rated output of the ozone generator, the greater the first-time impact value. Conversely, the higher the rated output of the ozone generator, the smaller the first-time impact value.

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

[0086] When the laundry treatment tank has a volume of 120L, and the ozone generator's rated output is the first output (100mg / h), the first time-influence value is greater than or equal to 20s and less than or equal to 24s. Preferably, it is 22s. When the ozone generator's rated output is the second output (50mg / h), the first time-influence value is greater than or equal to 32s and less than or equal to 36s. Preferably, it is 34s.

[0087] Through extensive preliminary data experiments and statistical analysis, a table can be generated to correlate the initial impact value ΔTi1 with the rated output of the ozone generator. In practical applications, the initial impact value ΔTi1 can be obtained by consulting this table based on 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 influence coefficient; and / or, the larger the rated output of the ozone generator, the smaller the first time influence value.

[0089] In step S406, the first time correction value △T1 is determined based on the above-mentioned load influence coefficient and the above-mentioned first time influence value.

[0090] In this embodiment, the equation for the first-time correction value △T1 can be determined using the following formula: △T1=f×△Ti1. Here, f is the load influence coefficient, and △Ti1 is the first-time influence value.

[0091] In step S408, the first corrected ozone introduction time is determined based on the above-mentioned no-load ozone introduction time Tk and the above-mentioned first time correction value △T1.

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

[0093] Tz1 = Tk + ΔT1. Combining the aforementioned equations, Tz1 can be expressed in detail as Tz = (C × V) / W + f × ΔTi1.

[0094] Where △T1 is the first time correction value, and Tk is the ozone passage time without load.

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

[0096] In step S502, the temperature influence coefficient is determined based on the distribution correspondence between the temperature and the predetermined temperature range and the temperature influence coefficient.

[0097] In this embodiment, the correspondence between the time period of the clothing processing tank volume and temperature and the temperature influence coefficient can be pre-calculated. Then, based on the above correspondence, and according to the actual clothing processing tank volume and temperature values, the correspondence is queried to determine the temperature influence coefficient.

[0098] The distribution relationship between temperature ranges and temperature influence coefficients is predetermined. Furthermore, the higher the temperature range, the greater the corresponding temperature influence coefficient. Alternatively, the predetermined distribution relationship between temperature ranges and temperature influence coefficients is as follows: When the volume of the garment processing tub is 120L, and the temperature is in the first temperature range (e.g., greater than or equal to 25℃ and less than 35℃), the temperature influence coefficient n (or n1) is 0.

[0099] When the temperature is in the second temperature range (e.g., 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, preferably 1.

[0100] When the temperature is in the third temperature range (e.g., 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 (e.g., 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, the second time influence value is determined based on the above load amount.

[0103] In this embodiment, step S504, determining the second time influence value based on the load amount, may further include the following steps:

[0104] Multiple load range intervals and their corresponding second time influence values ​​are pre-defined. Among these load range intervals, the load range to which the load belongs is determined. The correspondence between the multiple load range intervals and the second time influence values ​​is found, and the second time influence value corresponding to the load range is determined.

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

[0106] When the load F belongs to the second load range (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, which 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 range (greater than 1.5 kg and less than or equal to 3 kg), the second time influence value △Ti2 can be selected as b3, where b3 is greater than or equal to 23 s and less than or equal to 27 s, preferably 25 s.

[0108] For example, if the actual load F is 2.0 kg, and this load falls within the load range of 1.6-3 kg, the second time influence value ΔTi2 corresponding to the load range 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, the second time correction value is determined based on the temperature influence coefficient and the second time influence value.

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

[0111] In step S508, the second corrected ozone introduction time is determined based on the above-mentioned no-load ozone introduction time and the above-mentioned second time correction value.

[0112] In this embodiment, the second modified ozone introduction time Tz2 can be expressed as Tz2=Tk+△T2. Combining the aforementioned equations, Tz2 can be expressed in detail as Tz2=(C×V) / W+n△Ti2.

[0113] Please refer to Table 4 for the ozone generator's rated output of 50 mg / h, target concentration of 6 ppm, and load of less than or equal to 0.5 kg, and the corresponding ozone introduction time parameters for different temperatures.

[0114]

[0115] When the ozone generator output is, 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 normal, the inlet time is 145 s. When the temperature is 36-45℃, the inlet time is 165 s. When the temperature is 46-55℃, the inlet time is 205 s. When the temperature is 56-65℃, the inlet time is 255 s.

[0116] In some embodiments, when the ozone supply influence parameters are the load and temperature, the step of correcting the no-load ozone passage time according to the ozone supply influence parameters to obtain the corrected ozone passage time includes the following steps:

[0117] Determine the load influence coefficient based on the load amount;

[0118] The initial impact value is determined based on the rated output of the ozone generator.

[0119] The first time correction value △T1 is determined based on the load influence coefficient and the first time influence value;

[0120] The first corrected ozone inlet time Tz1 is determined based on the no-load ozone inlet time Tk and the first time correction value △T1.

[0121] The temperature influence coefficient is determined based on the distribution correspondence between the temperature and the predetermined temperature range and the temperature influence coefficient.

[0122] Determine the second time impact value based on the load amount;

[0123] The second time correction value is determined based on the temperature influence coefficient and the second time influence value;

[0124] The third corrected ozone introduction time is determined based on 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 aforementioned equations, Tz3 can be expressed in detail as Tz3=(C×V) / W+f×△Ti1+n△Ti2.

[0126] Secondly, see the appendix. Figure 6 As shown, this application proposes an ozone introduction time adjustment device 2, comprising:

[0127] Module 41 is used to obtain the load in the washing equipment;

[0128] The first determining module 42 is used to determine the target ozone concentration based on the load amount;

[0129] The second determining module 43 is used to determine the no-load ozone transmission time based on the rated output of the ozone generator and the target ozone concentration.

[0130] Correction module 44 is used to correct the ozone inlet time without load according to the ozone supply influence parameters to obtain the corrected ozone inlet time. The ozone supply influence parameters include at least one of the load and temperature.

[0131] Control module 45 is used to introduce ozone using the modified ozone introduction time.

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

[0133] The initial impact value is determined based on the rated output of the ozone generator.

[0134] The first time correction value is determined based on the load influence coefficient and the first time influence value;

[0135] The first corrected ozone inlet time is determined based on the no-load ozone inlet time and the first time correction value.

[0136] In some embodiments, the correction module 44 is further configured to determine the temperature influence coefficient based on the distribution correspondence between the temperature and a predetermined temperature range and the temperature influence coefficient when the ozone supply influence parameter is temperature.

[0137] Determine the second time impact value based on the load amount;

[0138] The second time correction value is determined based on the temperature influence coefficient and the second time influence value;

[0139] The second corrected ozone introduction time is determined based on 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 influence parameters are the load and temperature,

[0141] Determine the load influence coefficient based on the load amount;

[0142] The initial impact value is determined based on the rated output of the ozone generator.

[0143] The first time correction value is determined based on the load influence coefficient and the first time influence value;

[0144] The first corrected ozone inlet time is determined based on the no-load ozone inlet time and the first time correction value.

[0145] The temperature influence coefficient is determined based on the distribution correspondence between the temperature and the predetermined temperature range and the temperature influence coefficient.

[0146] Determine the second time impact value based on the load amount;

[0147] The second time correction value is determined based on the temperature influence coefficient and the second time influence value;

[0148] The third corrected ozone introduction time is determined based on the first corrected ozone introduction time and the second time correction value.

[0149] Figure 7 This is a schematic diagram of an electronic device provided in an embodiment of this 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 ozone injection time. When the processor 30 executes the computer program 32, it implements the steps in the various method embodiments described above, for example... Figure 3Steps 102 to 106 are shown. Alternatively, when the processor 30 executes the computer program 32, it implements the functions of each module / unit in the above-described device embodiments, for example... Figure 6 The functions of the acquisition module 41 to the control module 45 are shown.

[0150] For example, the computer program 32 described above can be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to complete this application. The one or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program 32 in the electronic device 3.

[0151] The aforementioned electronic device 3 can be a desktop computer, laptop, handheld computer, or cloud server, etc. The aforementioned electronic device may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will understand that... Figure 7 This is merely an example of electronic device 3 and does not constitute a limitation on electronic device 3. It may include more or fewer components than shown, or combine certain components, or different components. For example, the electronic device 3 described above may also include input / 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 (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), 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.

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

[0154] Figure 8 This is a schematic diagram of a washing device proposed in this application. The washing device 4 includes the aforementioned electronic device 3, and an ozone generator 41, a weight sensor 42, and a temperature sensor 43, all connected to the electronic device 3. The ozone generator 41 generates ozone under the control of the electronic device 3. The weight sensor 42 detects the load in the washing device. The temperature sensor 43 detects the temperature in the washing device.

[0155] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to 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 embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0156] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0157] Those skilled in the art will recognize that the units and algorithm steps of the various examples 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 implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0158] In the embodiments provided in this 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 merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling or direct coupling or communication connection may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

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

[0160] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0161] If the integrated module / unit is implemented as 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, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed 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 electrical carrier signals and telecommunication signals.

[0162] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for adjusting ozone introduction time, used in a washing device equipped with an ozone generator, characterized in that, include: Obtain the load on the washing equipment; The target ozone concentration is determined based on the load. The no-load ozone supply time is determined based on the rated output of the ozone generator and the target ozone concentration. The ozone inlet time under no load is corrected according to the ozone supply influence parameters to obtain the corrected ozone inlet time. The ozone supply influence parameters include at least one of the load and temperature. Ozone is introduced using the modified ozone introduction time. in, When the ozone supply impact parameter is the load amount, the step of correcting the no-load ozone passage time according to the ozone supply impact parameter to obtain the corrected ozone passage time includes: Determine the load influence coefficient based on the load amount; The initial impact value is determined based on the rated output of the ozone generator. The first time correction value is determined based on the load influence coefficient and the first time influence value; The first corrected ozone inlet time is determined based on the no-load ozone inlet time and the first time correction value.

2. The ozone introduction time adjustment method according to claim 1, wherein determining the target ozone concentration based on the load includes: The target ozone concentration is determined based on the correspondence between the load amount and the target ozone concentration, wherein the higher the weight range to which the load amount belongs, the greater the target ozone concentration.

3. The ozone introduction time adjustment method as described in claim 1, characterized in that, The relationship between the rated output of the ozone generator and the first time influence value is as follows: When the rated output of the ozone generator is the first output, the first time influence 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 influence value is greater than or equal to 32s and less than or equal to 36s. The second output is less than the first output.

4. The ozone introduction time adjustment method as described in claim 1, characterized in that, The correspondence between the load amount and the load amount influence coefficient is as follows: The larger the load, the greater the corresponding load impact coefficient; or, When the ozone generator's rated output is the first output and the laundry treatment tank's volume is the first volume... When the bucket is empty, the load influence coefficient f is 0; When the load F belongs to the first load range, 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 range, 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 range, the load influence coefficient f is greater than or equal to 7.72 and less than or equal to 8.12; When the ozone generator's rated output is the second output and the laundry treatment tank's volume is the first volume, the load influence coefficient f is 0 when the tank is empty. When the load F belongs to the first load range, 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 range, 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 range, the load influence coefficient f is greater than or equal to 25.16 and less than or equal to 25.

56.

5. A method for adjusting ozone introduction time, used in a washing device equipped with an ozone generator, characterized in that, include: Obtain the load on the washing equipment; The target ozone concentration is determined based on the load. The no-load ozone supply time is determined based on the rated output of the ozone generator and the target ozone concentration. The ozone inlet time under no load is corrected according to the ozone supply influence parameters to obtain the corrected ozone inlet time. The ozone supply influence parameters include at least one of the load and temperature. Ozone is introduced using the modified ozone introduction time. in, When the ozone supply influencing parameter is temperature, the step of correcting the no-load ozone inlet time based on the ozone supply influencing parameter to obtain the corrected ozone inlet time includes: The temperature influence coefficient is determined based on the distribution correspondence between the temperature and the predetermined temperature range and the temperature influence coefficient. Determine the second time impact value based on the load amount; The second time correction value is determined based on the temperature influence coefficient and the second time influence value; The second corrected ozone introduction time is determined based on the no-load ozone introduction time and the second time correction value.

6. The ozone introduction time adjustment method as described in claim 5, characterized in that, The correspondence between the load and the second time influence value is as follows: The larger the load, the greater the corresponding second time-related impact value; or, When the load F belongs to the first load range, the second time influence value is b1; When the load F belongs to the second load range, the second time influence 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 range, the second time influence value is b3, which is greater than or equal to 23s and less than or equal to 27s.

7. A method for adjusting ozone introduction time, used in a washing device equipped with an ozone generator, characterized in that, include: Obtain the load on the washing equipment; The target ozone concentration is determined based on the load. The no-load ozone supply time is determined based on the rated output of the ozone generator and the target ozone concentration. The ozone inlet time under no load is corrected according to the ozone supply influence parameters to obtain the corrected ozone inlet time. The ozone supply influence parameters include at least one of the load and temperature. Ozone is introduced using the modified ozone introduction time. in, When the ozone supply influencing parameters are the load and temperature, the step of correcting the no-load ozone inlet time according to the ozone supply influencing parameters to obtain the corrected ozone inlet time includes: Determine the load influence coefficient based on the load amount; The initial impact value is determined based on the rated output of the ozone generator. The first time correction value is determined based on the load influence coefficient and the first time influence value; The first corrected ozone inlet time is determined based on the no-load ozone inlet time and the first time correction value. The temperature influence coefficient is determined based on the distribution correspondence between the temperature and the predetermined temperature range and the temperature influence coefficient. Determine the second time impact value based on the load amount; The second time correction value is determined based on the temperature influence coefficient and the second time influence value; The third corrected ozone introduction time is determined based on the first corrected ozone introduction time and the second time correction value.

8. The ozone introduction time adjustment method according to claim 7, characterized in that, The larger the weight range to which the load belongs, the greater the load influence coefficient; and / or, the greater the rated output of the ozone generator, the smaller the first time influence value.

9. The ozone introduction time adjustment method as described in claim 7, characterized in that, The correspondence between the temperature range and the temperature influence coefficient is predetermined; Furthermore, the higher the temperature range, the greater the corresponding temperature influence coefficient, or... The correspondence between the predetermined temperature range and 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, where 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, where 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, where n4 is greater than or equal to 2.3 and less than or equal to 2.

7. The temperature values ​​in the first, second, third, and fourth temperature ranges gradually increase.

10. An ozone introduction time adjustment device for performing the method according to any one of claims 1-9, used in a washing device equipped with an ozone generator, characterized in that, include: The acquisition module is used to acquire the load in the washing equipment; The first determining module is used to determine the target ozone concentration based on the load amount; The second determining module is used to determine the no-load ozone supply time based on the rated output of the ozone generator and the target ozone concentration. The correction module is used to correct the ozone inlet time without load according to the ozone supply influence parameters to obtain the corrected ozone inlet time. The ozone supply influence parameters include at least one of the load and temperature. A control module is used to introduce ozone using the modified ozone introduction time.

11. An electronic device, characterized in that, include: The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the method as described in any one of claims 1 to 9.

12. A washing device, characterized in that, It includes at least the electronic device as described in claim 11, an ozone generator, a weight sensor, and a temperature sensor respectively connected to the electronic device; the ozone generator is used to generate ozone under the control of the electronic device. The weight sensor is used to detect the load in the washing equipment; The temperature sensor is used to detect the temperature in the washing equipment.

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