Method and device for adjusting equipment control parameters and household appliance

Abstract

The invention relates to the technical field of intelligent household appliances, and discloses a method for adjusting equipment control parameters. The method comprises the following steps: sequentially obtaining a plurality of operation parameters of target equipment; determining a change equivalent value of the plurality of operation parameters and a difference equivalent value of the plurality of operation parameters and a target operation parameter; determining a control parameter correction value according to the change equivalent value and the difference equivalent value; and adjusting the control parameter of the equipment according to the control parameter correction value. According to the method, the control parameters of the equipment can be dynamically adjusted, so that the control parameters of the equipment can automatically adapt to application scenes under various working conditions, the equipment can smoothly and stably run, and the running stability of the equipment is improved. The invention further discloses a device for adjusting the equipment control parameters and a household appliance.

Description

Technical Field

[0001] The present application relates to the technical field of smart home appliances, for example, to a method, apparatus and home appliance for adjusting device control parameters. Background Art

[0002] At present, in order to ensure the normal operation of the equipment, the control parameters of the equipment must be strictly controlled within the normal parameter range according to the manufacturer's specifications. For example, the exhaust temperature of the compressor cannot exceed 120°C, the high pressure cannot exceed 3.8MPa, etc. When the control parameters of the compressor exceed the specified range, it is easy to cause damage to the compressor.

[0003] In order to keep the control parameters of the equipment within the specified range and avoid damage to the equipment, the related art discloses a method for adjusting the control parameters of the equipment. The adjustment method uses the PID (proportion-integral-derivative) algorithm for adjustment, that is, according to the comparison between the current operating parameters of the equipment and the target operating parameters, the three fixed parameters of PID are adjusted: proportional parameter, integral parameter and derivative parameter, so as to adjust the control parameters of the equipment.

[0004] In the process of implementing the embodiments of the present disclosure, it was found that the related technology has at least the following problems: the fixed parameter control method of the related technology can control the operation of the equipment within the range specified by the manufacturer's specification to a certain extent, but due to the different actual operating environments of each device, the changing speed and trend of the operating parameters will be different. The operating parameters of the equipment often fluctuate frequently during use, and the control parameters of the equipment also fluctuate up and down accordingly, resulting in the system being unable to stabilize.

[0005] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present application, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0006] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical components or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0007] The embodiments of the present disclosure provide a method, an apparatus, and a home appliance for adjusting device control parameters to improve the stability of device operation.

[0008] In some embodiments, a method for adjusting a device control parameter includes: sequentially obtaining multiple operating parameters of a target device; determining change equivalent values ​​of the multiple operating parameters, and difference equivalent values ​​between the multiple operating parameters and the target operating parameters; determining a control parameter correction value based on the change equivalent value and the difference equivalent value; and adjusting the device control parameter based on the control parameter correction value.

[0009] Optionally, determining the change equivalent values ​​of the plurality of operating parameters includes determining the change equivalent values ​​according to the following formula:

[0010] chgVal=[∑(T n -T i )×A i ] / (n-1)

[0011] Among them, chgVal is the change equivalent value, T n is the nth operating parameter, T i is the i-th operating parameter, A i is the first adjustment coefficient corresponding to the i-th operating parameter, n is the total number of the multiple operating parameters, i is the first serial number of the operating parameter, i=1, 2, ..., n-1.

[0012] Optionally, determining the difference equivalent values ​​between the plurality of operating parameters and the target operating parameters comprises determining the difference equivalent values ​​according to the following formula:

[0013] diffVal=[∑(T j -T b )×B j ] / n

[0014] Among them, diffVal is the difference equivalent value, T b is the target running parameter, T j is the jth operating parameter, B j is the second adjustment coefficient corresponding to the jth operating parameter, n is the total number of the multiple operating parameters, j is the second serial number of the operating parameter, j=1, 2, ..., n.

[0015] Optionally, determining the control parameter correction value according to the change equivalent value and the difference equivalent value includes determining the control parameter correction value according to the following formula:

[0016] fixCompVal=-[diffVal×D+chgVal×(1-D)]×C

[0017] Among them, fixCompVal is the control parameter correction value, chgVal is the change equivalent value, diffVal is the difference equivalent value, C is the third adjustment coefficient, and D is the fourth adjustment coefficient.

[0018] Optionally, the adjustment coefficient includes one or more of a first adjustment coefficient, a second adjustment coefficient and a third adjustment coefficient, the first adjustment coefficient corresponds to a change equivalent value, the second adjustment coefficient corresponds to a difference equivalent value, and the third adjustment coefficient corresponds to a control parameter correction value; wherein the adjustment coefficient is determined in the following manner: obtaining a maximum value of an operating parameter of the target device within a first time period; determining a first volatility of multiple control parameters within the first time period; determining a second volatility of multiple control parameters within a second time period; and when the maximum value of the operating parameter, the first volatility and the second volatility meet preset conditions, determining the adjustment coefficient in a confirmation manner corresponding to the preset conditions.

[0019] Optionally, the preset condition includes one or more of a first preset condition, a second preset condition, a third preset condition and a fourth preset condition.

[0020] Optionally, the adjustment coefficient is determined in a confirmation manner corresponding to the preset conditions, including: the first preset condition includes that the maximum value of the operating parameter is less than a lower threshold value of the operating parameter range, and the first volatility or the second volatility is within the volatility range; the first adjustment coefficient and / or the second adjustment coefficient are determined in a confirmation manner corresponding to the first preset condition; the second preset condition includes that the maximum value of the operating parameter is less than a lower threshold value of the operating parameter range, and the first volatility is greater than a high threshold value of the volatility range; the first adjustment coefficient and / or the second adjustment coefficient are determined in a confirmation manner corresponding to the second preset condition; the third preset condition includes that the maximum value of the operating parameter is within the operating parameter range; the first adjustment coefficient and / or the second adjustment coefficient are determined in a confirmation manner corresponding to the third preset condition; the fourth preset condition includes that the maximum value of the operating parameter is equal to the high threshold value of the operating parameter range; the first adjustment coefficient and / or the second adjustment coefficient are determined in a confirmation manner corresponding to the fourth preset condition.

[0021] Optionally, determining the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the first preset condition includes: determining the first adjustment coefficient according to the following formula: i =A is +X 1i , where A i is the first adjustment coefficient corresponding to the i-th operating parameter, A is is the first adjustment coefficient corresponding to the last operation parameter of the ith operation, X 1i is a variable, and X 1i is positively correlated with i, and X 11 <0,X 1(n-1) >0, i is the first serial number of the plurality of operating parameters, i=1, 2, ..., n-1; and / or, the second adjustment coefficient is determined according to the following formula: B j =B js +Y 1j , where B jis the second adjustment coefficient corresponding to the jth operating parameter, B js is the second adjustment coefficient corresponding to the jth operating parameter last time, Y 1j is a variable, and Y 1j is positively correlated with j, and Y 11 <0, Y 1n >0, j is the second serial number of multiple operating parameters, j=1, 2, ..., n.

[0022] Optionally, determining the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the second preset condition includes: determining the first adjustment coefficient according to the following formula: i =A is +X 1i , where A i is the first adjustment coefficient corresponding to the i-th operating parameter, A is is the first adjustment coefficient corresponding to the last operation parameter of the ith operation, X 1i is a variable, and X 1i is positively correlated with i, and X 11 <0,X 1(n-1) >0, i is the first serial number of the plurality of operating parameters, i=1, 2, ..., n-1; and / or, the second adjustment coefficient is determined according to the following formula: B j =B js +Y 1j , where B j is the second adjustment coefficient corresponding to the jth operating parameter, B js is the second adjustment coefficient corresponding to the jth operating parameter last time, Y 1j is a variable, and Y 1j is positively correlated with j, and Y 11 <0, Y 1n >0, j is the second serial number of multiple operating parameters, j=1, 2, ..., n.

[0023] Optionally, determining the first adjustment coefficient and / or the second adjustment coefficient in accordance with the confirmation method corresponding to the third preset condition includes: determining the first adjustment coefficient according to the following formula: i =A is +X 2i , where X 2i is a variable, and X 1i is negatively correlated with i, and X 21 >0,X 2(n-1) <0; and / or, determine the second adjustment coefficient according to the following formula: B j =B js +Y 2j , where Y 2j is a variable, and Y 1j is negatively correlated with j, and Y21 >0, Y 2n <0.

[0024] Optionally, determining the first adjustment coefficient and / or the second adjustment coefficient in accordance with the confirmation method corresponding to the fourth preset condition includes: determining the first adjustment coefficient according to the following formula: i =A is +X 2i , where X 2i is a variable, and X 1i is negatively correlated with i, and X 21 >0,X 2(n-1) <0; and / or, determine the second adjustment coefficient according to the following formula: B j =B js +Y 2j , where Y 2j is a variable, and Y 1j is negatively correlated with j, and Y 21 >0, Y 2n <0.

[0025] Optionally, determining the adjustment coefficient in accordance with the confirmation method corresponding to the preset condition includes: the second preset condition includes that the maximum value of the operating parameter is less than the low threshold value of the operating parameter range, and the first fluctuation rate is greater than the high threshold value of the fluctuation range; determining the third adjustment coefficient in accordance with the confirmation method corresponding to the second preset condition. The fourth preset condition includes that the maximum value of the operating parameter is equal to the high threshold value of the operating parameter range; determining the third adjustment coefficient in accordance with the confirmation method corresponding to the fourth preset condition.

[0026] Optionally, determining the third adjustment coefficient according to the confirmation method corresponding to the second preset condition includes: determining the third adjustment coefficient according to the following formula: C = C s ×f 2 / F x , where C is the third adjustment coefficient, r 1 ≤C≤r 2 , r 1 is the first coefficient threshold, r 2 is the second coefficient threshold, C s It is the third adjustment coefficient of the previous time.

[0027] Optionally, determining the third adjustment coefficient according to the confirmation method corresponding to the fourth preset condition includes: determining the third adjustment coefficient according to the following formula: C=C s × 3 , where r 3 is the third coefficient threshold.

[0028] Optionally, within the first time period, the control parameter correction value corresponding to the preset operating parameter is less than the preset correction value; within the second time period, the control parameter correction value corresponding to the preset operating parameter is greater than or equal to the preset correction value.

[0029] In some embodiments, the apparatus for adjusting device control parameters includes a processor and a memory storing program instructions, and the processor is configured to execute the method for adjusting device control parameters as described above when running the program instructions.

[0030] In some embodiments, the home appliance includes: one or more devices; and, the apparatus for adjusting device control parameters as described above, configured to adjust the one or more devices.

[0031] The method, apparatus, and home appliance for adjusting device control parameters provided by the embodiments of the present disclosure can achieve the following technical effects:

[0032] By sequentially obtaining multiple operating parameters of the target device, determining the change equivalent values ​​of the multiple operating parameters, and the difference equivalent values ​​between the multiple operating parameters and the target operating parameters, the dynamic control parameter correction value is determined, thereby dynamically adjusting the control parameters of the device, so that the control parameters of the device can automatically adapt to the application scenarios under various working conditions, so that the device can run smoothly and stably, thereby improving the stability of the device operation.

[0033] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein:

[0035] Figure 1 is a schematic diagram of a method for adjusting device control parameters provided by an embodiment of the present disclosure;

[0036] Figure 2 is a schematic diagram of another method for adjusting device control parameters provided by an embodiment of the present disclosure;

[0037] Figure 3 is a schematic diagram of another method for adjusting device control parameters provided by an embodiment of the present disclosure;

[0038] Figure 4 is a schematic diagram of another method for adjusting device control parameters provided by an embodiment of the present disclosure;

[0039] Figure 5is a schematic diagram of a device for adjusting device control parameters provided by an embodiment of the present disclosure;

[0040] Figure 6 It is a schematic diagram of a household appliance product provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0041] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0042] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0043] Unless otherwise stated, the term "plurality" means two or more.

[0044] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.

[0045] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0046] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present disclosure may be combined with each other.

[0047] An embodiment of the present disclosure provides a device including a parameter-adjustable device, such as a compressor, an expansion valve, and a fan.

[0048] In combination with the above-mentioned device, the embodiment of the present disclosure provides a method for adjusting device control parameters, wherein the execution subject of the method may be a processor. Figure 1 As shown, the method includes:

[0049] S101, the processor sequentially obtains multiple operating parameters of the target device.

[0050] The operating parameters may be the compressor exhaust temperature corresponding to the compressor, the expansion valve opening corresponding to the expansion valve, and the fan speed, etc. This application takes the compressor exhaust temperature as an example when illustrating the operating parameters. Exemplarily, the processor obtains the operating parameters once every preset time interval; wherein the preset time interval is set to 2 seconds to 5 seconds. More specifically, the preset time interval is set to 3 seconds.

[0051] Optionally, the number of multiple operating parameters can be set to be greater than 8. More specifically, the number of multiple operating parameters can be set to 10. In this way, on the one hand, it can avoid the inaccuracy of the change trend of the obtained operating parameters due to the small number of obtained operating parameters; on the other hand, it can avoid the long acquisition time due to the excessive number of obtained operating parameters, which leads to the inability to timely condition the control parameters of the equipment. For example: the processor collects the compressor exhaust temperature once every 3 seconds, collects it 10 times in total, and obtains 10 compressor exhaust temperatures of the compressor.

[0052] S102, the processor determines the change equivalent values ​​of multiple operating parameters, and the difference equivalent values ​​between the multiple operating parameters and the target operating parameters.

[0053] Among them, the equivalent value refers to a conversion relationship, which uses a certain conversion coefficient or correction factor for conversion calculation, and is usually used to evaluate the degree of influence of a certain factor on the characteristics of things. In this embodiment, the change equivalent value means: evaluating the change trend characteristics of the operating parameters through the change values ​​between multiple operating parameters. The difference equivalent value means evaluating the change trend characteristics of the operating parameters through the difference between multiple operating parameters and the target operating parameters.

[0054] S103, the processor determines a control parameter correction value according to the change equivalent value and the difference equivalent value,

[0055] S104: The processor adjusts the control parameters of the device according to the control parameter correction value.

[0056] The control parameter may be a compressor operating frequency corresponding to the compressor, an expansion valve control parameter corresponding to the expansion valve, and a fan control parameter corresponding to the fan. The present application takes the compressor operating frequency as an example when illustrating the control parameter.

[0057] In this embodiment, by sequentially obtaining multiple operating parameters of the target device, the change trend characteristics of the multiple operating parameters are determined. Through the change trend characteristics of the multiple operating parameters, the control parameter correction value can be accurately determined, thereby dynamically adjusting the control parameters of the device. In this way, the control parameters of the device can automatically adapt to the application scenarios under various working conditions, so that the device can run smoothly and stably, thereby improving the stability of the device operation.

[0058] Optionally, the processor determines the change equivalent values ​​of the multiple operating parameters, including determining the change equivalent values ​​according to the following formula:

[0059] chgVal=[∑(T n -T i )×A i ] / (n-1)

[0060] Among them, chgVal is the change equivalent value, T n is the nth operating parameter, T i is the i-th operating parameter, A i is the first adjustment coefficient corresponding to the i-th operating parameter, n is the total number of the multiple operating parameters, i is the first serial number of the operating parameter, i=1, 2, ..., n-1.

[0061] In this way, by determining the change equivalent values ​​of the multiple operating parameters and setting the first adjustment coefficient, a change trend of the multiple operating parameters can be accurately obtained.

[0062] Optionally, the processor determines the difference equivalent values ​​between the multiple operating parameters and the target operating parameters, including determining the difference equivalent values ​​according to the following formula:

[0063] diffVal=[∑(T j -T b )×B j ] / n

[0064] Among them, diffVal is the difference equivalent value, T b is the target running parameter, T j is the jth operating parameter, B j is the second adjustment coefficient corresponding to the jth operating parameter, n is the total number of the multiple operating parameters, j is the second serial number of the multiple operating parameters, and j=1, 2, ..., n.

[0065] Taking the compressor exhaust temperature as an example, T b is the target exhaust temperature, i.e., the target value of the compressor exhaust temperature. b is set to [105°C, 115°C]. More specifically, T b Set to 110°C.

[0066] In this way, by determining the difference equivalent values ​​between the multiple operating parameters and the target operating parameters, and setting the second adjustment coefficient, a change trend of the multiple operating parameters can be accurately obtained.

[0067] Optionally, the processor determines the control parameter correction value according to the change equivalent value and the difference equivalent value, including determining the control parameter correction value according to the following formula:

[0068] fixCompVal=-[diffVal×D+chgVal×(1-D)]×C

[0069] Among them, fixCompVal is the control parameter correction value, chgVal is the change equivalent value, diffVal is the difference equivalent value, C is the third adjustment coefficient, and D is the fourth adjustment coefficient.

[0070] Exemplarily, the fourth adjustment coefficient is set to (0, 1). More specifically, the fourth adjustment coefficient may be set to 0.6.

[0071] In this way, the control parameter correction value can be accurately determined by changing the equivalent value, the difference equivalent value, the set third adjustment coefficient and the set fourth adjustment coefficient.

[0072] Optionally, the adjustment coefficient includes one or more of a first adjustment coefficient, a second adjustment coefficient and a third adjustment coefficient.

[0073] Among them, the first adjustment coefficient corresponds to the change equivalent value, which is used to adjust the change equivalent values ​​between multiple operating parameters. The second adjustment coefficient corresponds to the difference equivalent value, which is used to adjust the change equivalent values ​​between multiple operating parameters and the target operating parameters. The third adjustment coefficient corresponds to the control parameter correction value, which is used to adjust the control parameter correction value. In this way, the obtained change equivalent value, difference equivalent value and control parameter correction value are all adjusted by the adjustment coefficient, so that the obtained control parameter correction value is more accurate, so as to more accurately adjust the control parameters of the equipment, so that the control parameters of the equipment working under any working conditions can be stable, forming a benign adjustment control method.

[0074] Optionally, the processor determines the adjustment coefficient in the following manner: the processor obtains a maximum value of an operating parameter of the target device within a first duration. The processor determines a first fluctuation rate of a plurality of control parameters within the first duration. The processor determines a second fluctuation rate of a plurality of control parameters within a second duration. When the maximum value of the operating parameter, the first fluctuation rate, and the second fluctuation rate meet a preset condition, the processor determines the adjustment coefficient in a confirmation manner corresponding to the preset condition.

[0075] The determination method refers to the method of determining the coefficient.

[0076] Optionally, the processor obtaining the maximum value of the operating parameter of the target device within the first time period includes: the processor sorting the operating parameters of the target device within the first time period, and determining the operating parameter with the largest value as the maximum value of the operating parameter.

[0077] Optionally, the processor determines the first fluctuation rate of the plurality of control parameters within the first duration, including: the processor obtains the maximum control parameter and the minimum control parameter among the control parameters within the first duration. The processor calculates: Fx =(F 1max -F 1min ) / t 1 , and obtain the first volatility. Among them, F x is the first volatility, F 1max is the maximum control parameter among the control parameters in the first time period, F 1min is the minimum control parameter among the control parameters in the first time period, t 1 For the first duration.

[0078] Optionally, the processor determines the second fluctuation rate of the plurality of control parameters within the second time period, including: the processor obtains the maximum control parameter and the minimum control parameter among the control parameters within the second time period. The processor calculates: F z =(F 2max -F 2min ) / t 2 , and obtain the second volatility. Among them, F z is the second volatility, F 2max is the maximum control parameter among the control parameters in the second time period, F 2min is the minimum control parameter among the control parameters in the second time period, t 2 For the second duration.

[0079] Optionally, the preset condition includes one or more of a first preset condition, a second preset condition, a third preset condition and a fourth preset condition.

[0080] Optionally, the processor determines the adjustment coefficient in a confirmation manner corresponding to a preset condition, including: the first preset condition includes that the maximum value of the operating parameter is less than the low threshold value of the operating parameter range, and the first volatility or the second volatility is within the fluctuation range, and the processor determines the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the first preset condition. The second preset condition includes that the maximum value of the operating parameter is less than the low threshold value of the operating parameter range, and the first volatility is greater than the high threshold value of the fluctuation range; the processor determines the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the second preset condition. The third preset condition includes that the maximum value of the operating parameter is within the operating parameter range; the processor determines the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the third preset condition. The fourth preset condition includes that the maximum value of the operating parameter is equal to the high threshold value of the operating parameter range; the processor determines the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the fourth preset condition.

[0081] Exemplarily, when the operating parameter is the compressor exhaust temperature, the operating parameter range low threshold value indicates that the compressor exhaust temperature is less than 115° C. The operating parameter range indicates that the compressor exhaust temperature is [115° C., 118° C.). The operating parameter range high threshold value indicates that the compressor exhaust temperature is equal to 118° C.

[0082] For example, when the control parameter is the compressor operating frequency, the first fluctuation rate being in the fluctuation range is represented by the first frequency fluctuation rate being in [1 Hz / S, 3 Hz / S]. The second fluctuation rate being in the fluctuation range is represented by the second frequency fluctuation rate being in [1 Hz / S, 3 Hz / S]. The first fluctuation rate being greater than the fluctuation range high threshold is represented by the first frequency fluctuation rate being greater than or equal to 3 Hz / S.

[0083] In this embodiment, a corresponding confirmation method is determined based on a preset condition, and the first adjustment coefficient and / or the second adjustment coefficient are determined according to the corresponding confirmation method.

[0084] Optionally, the processor determines the first adjustment coefficient and / or the second adjustment coefficient according to the confirmation method corresponding to the first preset condition, including: the processor determines the first adjustment coefficient according to the following formula: i =A is +X 1i , where A i is the first adjustment coefficient corresponding to the i-th operating parameter, A is is the first adjustment coefficient corresponding to the last operation parameter of the ith operation, X 1i is a variable, and X 1i is positively correlated with i, and X 11 <0,X 1(n-1) >0, i is the first serial number of multiple operating parameters, i=1, 2, ..., n-1. And / or,

[0085] The processor determines the second adjustment coefficient according to the following formula: j =B js +Y 1j , where B j is the second adjustment coefficient corresponding to the jth operating parameter, B js is the second adjustment coefficient corresponding to the jth operating parameter last time, Y 1j is a variable, and Y 1j is positively correlated with j, and Y 11 <0, Y 1n >0, j is the second serial number of multiple operating parameters, j=1, 2, ..., n.

[0086] In this embodiment, when the first preset condition is met, it indicates that the control parameter rises or falls faster, resulting in a larger control parameter correction value obtained by calculation. Therefore, based on the last first adjustment coefficient or the second adjustment coefficient, the variable X is set 1i and / or Y 1j , adjust the last adjustment coefficient and / or the second adjustment coefficient. 1irepresents the variable in the first adjustment coefficient corresponding to the i-th operating parameter, Y 1i Represents the variable in the second adjustment coefficient corresponding to the i-th operating parameter.

[0087] By setting X 11 <0,X 1(n-1) >0, reduce the weight of the early coefficient in the first adjustment coefficient, increase the weight of the late coefficient in the first adjustment coefficient, so that the change equivalent value of the first adjustment coefficient adjustment is more accurate, so that the operating parameters tend to be stable. For example, A1 = A 1s -0.05, A2=A 2s -0.02, ..., A8 = A 8s +0.02, A9=A 9s +0.05.

[0088] By setting Y 11 <0, Y 1n >0, reduce the weight of the early coefficient in the second adjustment coefficient, increase the weight of the late coefficient in the second adjustment coefficient, so that the difference equivalent value adjusted by the second adjustment coefficient is more accurate, thereby making the operating parameters tend to be stable. For example, B1=B 1s -0.04, B2 = B 2s -0.03, ..., B9 = B 9s +0.03,B10=B10 s +0.05.

[0089] Optionally, the processor determines the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the second preset condition, including: the processor determines the first adjustment coefficient according to the following formula: i =A is +X 1i , where A i is the first adjustment coefficient corresponding to the i-th operating parameter, A is is the first adjustment coefficient corresponding to the last operation parameter of the ith operation, X 1i is a variable, and X 1i is positively correlated with i, and X 11 <0,X 1(n-1) >0, i is the first serial number of the plurality of operating parameters, i=1, 2, ..., n-1. And / or, the processor determines the second adjustment coefficient according to the following formula: B j =B js +Y 1j , where B j is the second adjustment coefficient corresponding to the jth operating parameter, B js is the second adjustment coefficient corresponding to the jth operating parameter last time, Y 1j is a variable, and Y1j is positively correlated with j, and Y 11 <0, Y 1n >0, j is the second serial number of multiple operating parameters, j=1, 2, ..., n.

[0090] In this embodiment, when the second preset condition is met, it indicates that the control parameter decreases too fast, resulting in an excessively large correction value of the control parameter obtained by calculation. Therefore, the first adjustment coefficient and the second adjustment coefficient are adjusted in the same manner as when the second preset condition is met. Both reduce the weight of the early coefficient in the first adjustment coefficient and / or the second adjustment coefficient, and increase the weight of the late coefficient in the first adjustment coefficient and / or the second adjustment coefficient, so that the operating parameters tend to be stable.

[0091] Optionally, the processor determines the first adjustment coefficient and / or the second adjustment coefficient according to the confirmation method corresponding to the third preset condition, including: the processor determines the first adjustment coefficient according to the following formula: i =A is +X 2i , where X 2i is a variable, and X 1i is negatively correlated with i, and X 21 >0,X 2(n-1) <0. And / or, the processor determines the second adjustment coefficient according to the following formula: B j =B js +Y 2j , where Y 2j is a variable, and Y 1j is negatively correlated with j, and Y 21 >0, Y 2n <0.

[0092] In this embodiment, when the third preset condition is met, it indicates that although the operating parameters can be controlled within the operating range during this period, there is a certain control risk, and it is necessary to increase the adjustment speed of the control parameters and intervene in the operating parameters in advance. At this time, it is necessary to increase the weight of the early coefficient in the first adjustment coefficient and / or the second adjustment coefficient, and reduce the weight of the late coefficient. 2i and / or Y 2j To increase the weight of the early coefficient and reduce the weight of the later coefficient.

[0093] By setting X 21 >0,X 2(n-1) <0, increase the weight of the early coefficient in the first adjustment coefficient, and reduce the weight of the late coefficient in the first adjustment coefficient, so that the change equivalent value of the first adjustment coefficient adjustment is more accurate. For example, A1=A 1s +0.05, A2=A 2s+0.02, ..., A8 = A 8s -0.02, A9=A 9s -0.05.

[0094] By setting Y 21 >0, Y 2n <0, increase the weight of the early coefficient in the second adjustment coefficient, and reduce the weight of the late coefficient in the second adjustment coefficient, so that the difference equivalent value adjusted by the second adjustment coefficient is more accurate. 1 =B 1s +0.04, B 2 =B 2s +0.03, ..., B 9 =B 9s -0.03,

[0095] B 10 =B 10s -0.05.

[0096] Optionally, the processor determines the first adjustment coefficient and / or the second adjustment coefficient according to the confirmation method corresponding to the fourth preset condition, including: the processor determines the first adjustment coefficient according to the following formula: i =A is +X 2i , where X 2i is a variable, and X 1i is negatively correlated with i, and X 21 >0,X 2(n-1) <

[0097] 0. And / or, the processor determines the second adjustment coefficient according to the following formula: B j =B js +Y 2j , where Y 2j is a variable, and Y 1j is negatively correlated with j, and Y 21 >0, Y 2n <0.

[0098] In this embodiment, when the fourth preset condition is met, it indicates that the control parameter needs to be adjusted urgently, so the first adjustment coefficient and the second adjustment coefficient are adjusted in the same manner as when the third preset condition is met. Both increase the weight of the early coefficient in the first adjustment coefficient and / or the second adjustment coefficient, and reduce the weight of the late coefficient in the first adjustment coefficient and / or the second adjustment coefficient, so that the operating parameters tend to be stable.

[0099] Optionally, the processor determines the adjustment coefficient in a confirmation manner corresponding to the preset conditions, including: the second preset condition includes that the maximum value of the operating parameter is less than the low threshold value of the operating parameter range, and the first fluctuation rate is greater than the high threshold value of the fluctuation range. The processor determines the third adjustment coefficient in a confirmation manner corresponding to the second preset condition. The fourth preset condition includes that the maximum value of the operating parameter is equal to the high threshold value of the operating parameter range. The processor determines the third adjustment coefficient in a confirmation manner corresponding to the fourth preset condition.

[0100] In this embodiment, a corresponding confirmation method is determined based on a preset condition, and the third adjustment coefficient is determined according to the corresponding confirmation method.

[0101] Optionally, the processor determines the third adjustment coefficient according to the confirmation method corresponding to the second preset condition, including: the processor determines the third adjustment coefficient according to the following formula: C=C s ×f 1 / F x , where C is the third adjustment coefficient, r 1 ≤C≤r 2 , r 1 is the first coefficient threshold, r 2 is the second coefficient threshold, C s is the third adjustment coefficient of the last time, f 1 is the control parameter threshold.

[0102] For example, r 1 is set to 0.2. For example, r 2 is set to 3. For example, when the control parameter is the compressor operating frequency, f 1 is the frequency threshold, f 1 Set to 3HZ / S.

[0103] When the second preset condition is met, it indicates that the control parameter decreases too quickly. Therefore, according to the above-mentioned method of adjusting the second coefficient, the second adjustment coefficient tends to become smaller, so that the calculated control parameter correction value also becomes smaller, and the larger the first fluctuation rate, the smaller the control parameter correction value. In this way, the control parameter is prevented from decreasing too quickly and the stability of the equipment operation is improved.

[0104] Optionally, the processor determines the third adjustment coefficient according to the confirmation method corresponding to the fourth preset condition, including: the processor determines the third adjustment coefficient according to the following formula: C=C s × 3 , where r 3 is the third coefficient threshold.

[0105] Among them, r 3 Set to [1.3, 1.6]. By setting r 3 Set to the above range so that through r3 The obtained control parameter correction value is larger.

[0106] When the fourth preset condition is met, the maximum value of the operating parameter is equal to the upper threshold of the operating parameter range. At this time, the control parameter needs to be adjusted urgently, so the third adjustment coefficient is increased to increase the control parameter to quickly adjust the control parameter of the device.

[0107] Optionally, within the first duration, the control parameter correction value corresponding to the preset operating parameter is less than the preset correction value. When the control parameter correction value is less than the preset correction value, it indicates that the operating parameter is too large, causing the control parameter to be in a downward trend, and the duration of this trend is determined as the first duration.

[0108] Optionally, within the second duration, the control parameter correction value corresponding to the preset operating parameter is greater than or equal to the preset correction value. When the control parameter correction value is greater than or equal to the preset correction value, it indicates that the operating parameter is within a normal range, so it is determined that the control parameter is also within a normal range, and the duration of this trend is determined as the second duration.

[0109] like Figure 2 As shown, the embodiment of the present disclosure provides another method for adjusting device control parameters, the method comprising:

[0110] S201, the processor sequentially obtains m operating parameters of the target device.

[0111] Wherein, m is the total number of initially obtained operating parameters, and m<n.

[0112] S202: The processor determines initial change equivalent values ​​of m operating parameters and initial difference equivalent values ​​between the m operating parameters and target operating parameters.

[0113] S203: The processor determines an initial control parameter correction value according to the initial change equivalent value and the initial difference equivalent value.

[0114] S204: The processor determines a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient according to the initial control parameter correction value.

[0115] S205: The processor determines the change equivalent values ​​of the multiple operating parameters based on the first adjustment coefficient, and determines the difference equivalent values ​​between the multiple operating parameters and the target operating parameters based on the second adjustment coefficient.

[0116] S206: The processor determines a control parameter correction value based on the third adjustment coefficient, the change equivalent value and the difference equivalent value.

[0117] S207: The processor adjusts the control parameters of the device according to the control parameter correction value.

[0118] Optionally, the processor determines the initial change equivalent values ​​of the m operating parameters, including determining the initial change equivalent values ​​according to the following formula:

[0119] chgVal 0 =[∑(T m-1 -T k )×A 0k ] / (m-1)

[0120] Among them, chgVal 0 is the initial change equivalent value, T m-1 is the m-1th operating parameter, T k is the kth operating parameter, A 0k is the first initial adjustment coefficient corresponding to the kth operating parameter, k is the third serial number of the operating parameter, k=1, 2, ..., m-1.

[0121] The first initial adjustment coefficient can be directly set according to actual conditions.

[0122] Optionally, the processor determines the initial difference equivalent values ​​between the m operating parameters and the target operating parameters, including determining the initial difference equivalent values ​​according to the following formula:

[0123] diffVal 0 =[∑(T q -T b )×B q ] / m

[0124] Among them, diffVal 0 is the initial difference equivalent value, T q is the qth operating parameter, B q is the second initial adjustment coefficient corresponding to the qth operating parameter, q is the fourth serial number of the operating parameter, q=1, 2, ..., m.

[0125] The second initial adjustment coefficient can be directly set according to actual conditions.

[0126] Optionally, the processor determines the initial control parameter correction value according to the initial change equivalent value and the initial difference equivalent value, including determining the initial control parameter correction value according to the following formula:

[0127] fixCompVal 0 =-[diffVal 0 ×D 0 +chgVal 0 ×(1-D 0 )]×C 0

[0128] Among them, fixCompVal 0is the initial control parameter correction value, chgVal 0 is the initial change equivalent value, diffVal 0 is the initial difference equivalent value, C 0 is the initial third adjustment coefficient, D 0 is the initial fourth adjustment coefficient.

[0129] The third initial adjustment coefficient can be directly set according to actual conditions. For example, the third initial adjustment coefficient can be set to 1.5.

[0130] Exemplarily, the fourth initial adjustment coefficient is set to (0, 1). More specifically, the fourth initial adjustment coefficient may be set to 0.6.

[0131] Optionally, after the processor obtains the initial control parameter correction value, each obtained change equivalent value of the multiple operating parameters is calculated by a first adjustment coefficient determined by a corresponding confirmation method, and the difference equivalent value between the multiple operating parameters and the target operating parameters is calculated by a second adjustment coefficient determined by a corresponding confirmation method. Each determined control parameter correction value is calculated by a third adjustment coefficient determined by a corresponding confirmation method.

[0132] like Figure 3 As shown, the embodiment of the present disclosure provides another method for adjusting the control parameters of a device. The device is a compressor. The method includes:

[0133] S301, the processor sequentially obtains a plurality of compressor exhaust temperatures of the compressor.

[0134] S302, the processor determines a plurality of equivalent values ​​of changes in compressor exhaust temperatures, and a plurality of equivalent values ​​of differences between compressor exhaust temperatures and target temperatures.

[0135] S303, the processor determines a frequency correction value according to a plurality of equivalent values ​​of changes in the exhaust temperatures of the compressors and a plurality of equivalent values ​​of differences between the exhaust temperatures of the compressors and the target temperature.

[0136] S304: The processor adjusts the operating frequency of the compressor according to the frequency correction value.

[0137] In this embodiment, the device is a compressor. The change of the operating parameters of the compressor is determined by the compressor exhaust temperature, and the compressor operating frequency is adjusted so that the compressor exhaust temperature controlled by the adjusted compressor operating frequency is within a normal range, thereby improving the operating stability and safety of the compressor.

[0138] like Figure 4 As shown, the embodiment of the present disclosure provides another method for adjusting the control parameters of a device. The device is a compressor. The method includes:

[0139] S401, the processor sequentially obtains m compressor exhaust temperatures of the compressors.

[0140] S402, the processor determines the initial change equivalent values ​​of the m compressor exhaust temperatures and the initial difference equivalent values ​​between the m compressor exhaust temperatures and the target temperature.

[0141] S403, the processor determines an initial frequency correction value according to the initial change equivalent values ​​of the exhaust temperatures of the m compressors and the initial difference equivalent values ​​between the exhaust temperatures of the m compressors and the target temperature.

[0142] S404: The processor determines a first adjustment coefficient, a second adjustment coefficient, and a third adjustment coefficient corresponding to the compressor according to the initial frequency correction value.

[0143] S405, the processor determines the change equivalent values ​​of multiple compressor exhaust temperatures based on the first adjustment coefficient corresponding to the compressor, and determines the difference equivalent values ​​between the multiple compressor exhaust temperatures and the target temperature based on the second adjustment coefficient corresponding to the compressor.

[0144] S406: The processor determines a frequency correction value according to a plurality of compressor exhaust temperature change equivalent values ​​and a plurality of compressor exhaust temperature difference equivalent values ​​with a target temperature.

[0145] S407: The processor adjusts the operating frequency of the compressor according to the frequency correction value.

[0146] In this embodiment, before obtaining multiple compressor exhaust temperatures, it is also necessary to determine the initial frequency correction value, and determine the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient based on the initial frequency correction value, so as to bring the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient into the calculation of the change equivalent value and the difference equivalent value, dynamically adjust the change equivalent value and the difference equivalent value, so as to obtain the dynamically adjusted frequency correction value, and adjust the compressor operating frequency according to the frequency correction value to make the compressor exhaust temperature more stable.

[0147] Combination Figure 5 As shown, the embodiment of the present disclosure provides a device 200 for adjusting device control parameters, including a processor 500 and a memory 501. Optionally, the device 200 for adjusting device control parameters may also include a communication interface 502 and a bus 503. Among them, the processor 500, the communication interface 502, and the memory 501 can communicate with each other through the bus 503. The communication interface 502 can be used for information transmission. The processor 500 can call the logic instructions in the memory 501 to execute the method for adjusting device control parameters of the above embodiment.

[0148] In addition, the logic instructions in the memory 501 described above can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.

[0149] The memory 501, as a storage medium, can be used to store software programs, computer executable programs, such as program instructions / modules corresponding to the methods in the embodiments of the present disclosure. The processor 500 executes functional applications and data processing by running the program instructions / modules stored in the memory 501, that is, implements the method for adjusting the device control parameters in the above-mentioned embodiments.

[0150] The memory 501 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 501 may include a high-speed random access memory and may also include a non-volatile memory.

[0151] Combination Figure 6 As shown, an embodiment of the present disclosure provides a household appliance 1. The household appliance 1 includes: a device 100 and a device 200 for adjusting a device control parameter as described above. The number of the devices 100 is one or more. The device 200 for adjusting a device control parameter is configured to adjust one or more devices 100. It can be understood by those skilled in the art that the device 200 for adjusting a device control parameter can be adapted to a feasible device 100, thereby realizing other feasible embodiments.

[0152] An embodiment of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are configured to execute the above-mentioned method for adjusting device control parameters.

[0153] The computer-readable storage medium mentioned above may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0154] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes, or a transient storage medium.

[0155] The above description and the accompanying drawings sufficiently illustrate the embodiments of the present disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, process, and other changes. The embodiments represent only possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations may vary. Portions and features of some embodiments may be included in or replace portions and features of other embodiments. Moreover, the terms used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and the claims, the singular forms "a" and "an" shall be construed as "a", "an" and "an" unless the context clearly indicates otherwise.

[0156] (a), "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application is intended to include any and all possible combinations of one or more of the associated listed items. In addition, when used in this application, the term "including"

[0157] "comprise" and its variations "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method or device including the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0158] Those skilled 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 may depend on the specific application and design constraints of the technical solution. The technicians may use different methods for each specific application to implement the described functions, but such implementations should not be considered to exceed the scope of the embodiments of the present disclosure. The technicians may clearly understand that, for the convenience and simplicity of description, the specific working processes of the systems, devices and units described above may refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here.

[0159] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units can be 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. In addition, the coupling or direct coupling or communication connection between each other 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. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0160] The flowchart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and the block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A method for adjusting a device control parameter, characterized in that: include: Sequentially obtain multiple operating parameters of the target device; Determining equivalent values ​​of changes in a plurality of operating parameters and equivalent values ​​of differences between the plurality of operating parameters and target operating parameters; Determining a control parameter correction value according to the change equivalent value and the difference equivalent value; Adjust the control parameters of the equipment according to the control parameter correction value.

2. The method according to claim 1, characterized in that Determining the change equivalent value of multiple operating parameters includes determining the change equivalent value according to the following formula: chgVal=[∑(T n -T i )×A i ] / (n-1) Among them, chgVal is the change equivalent value, T n is the nth operating parameter, T i is the i-th operating parameter, A i is the first adjustment coefficient corresponding to the i-th operating parameter, n is the total number of the multiple operating parameters, i is the first serial number of the operating parameter, i=1, 2, ..., n-1.

3. The method according to claim 1, characterized in that Determining a difference equivalent value between a plurality of operating parameters and a target operating parameter includes determining the difference equivalent value according to the following formula: diffVal=[∑(T j -T b )×B j ] / n Among them, diffVal is the difference equivalent value, T b is the target running parameter, T j is the jth operating parameter, B j is the second adjustment coefficient corresponding to the jth operating parameter, n is the total number of the multiple operating parameters, j is the second serial number of the operating parameter, j=1, 2, ..., n.

4. The method according to claim 1, characterized in that: Determining the control parameter correction value according to the change equivalent value and the difference equivalent value includes determining the control parameter correction value according to the following formula: fixCompVal=-[diffVal×D+chgVal×(1-D)]×C Among them, fixCompVal is the control parameter correction value, chgVal is the change equivalent value, diffVal is the difference equivalent value, C is the third adjustment coefficient, and D is the fourth adjustment coefficient.

5. The method according to any one of claims 1 to 4, characterized in that: The adjustment coefficient includes one or more of a first adjustment coefficient, a second adjustment coefficient and a third adjustment coefficient, the first adjustment coefficient corresponds to the change equivalent value, the second adjustment coefficient corresponds to the difference equivalent value, and the third adjustment coefficient corresponds to the control parameter correction value; The adjustment coefficient is determined as follows: Obtaining the maximum value of the operating parameter of the target device within the first time period; determining a first fluctuation rate of a plurality of control parameters within a first time period; determining a second fluctuation rate of the plurality of control parameters within a second time period; When the maximum value of the operating parameter, the first volatility and the second volatility meet the preset conditions, the adjustment coefficient is determined in a confirmation manner corresponding to the preset conditions.

6. The method according to claim 5, characterized in that The preset condition includes one or more of a first preset condition, a second preset condition, a third preset condition and a fourth preset condition; The adjustment coefficient is determined according to the confirmation method corresponding to the preset conditions, including: The first preset condition includes that the maximum value of the operating parameter is less than the lower threshold value of the operating parameter range, and the first volatility or the second volatility is within the volatility range; the first adjustment coefficient and / or the second adjustment coefficient are determined according to the confirmation method corresponding to the first preset condition; The second preset condition includes that the maximum value of the operating parameter is less than the lower threshold value of the operating parameter range, and the first fluctuation rate is greater than the upper threshold value of the fluctuation range; the first adjustment coefficient and / or the second adjustment coefficient are determined according to the confirmation method corresponding to the second preset condition; The third preset condition includes that the maximum value of the operating parameter is within the operating parameter range; the first adjustment coefficient and / or the second adjustment coefficient are determined according to the confirmation method corresponding to the third preset condition; The fourth preset condition includes that the maximum value of the operating parameter is equal to the upper threshold value of the operating parameter range; and the first adjustment coefficient and / or the second adjustment coefficient are determined in a confirmation manner corresponding to the fourth preset condition.

7. The method according to claim 6, characterized in that Determining the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the first preset condition includes: Determine the first adjustment coefficient according to the following formula: A i =A is +X 1i , where A i is the first adjustment coefficient corresponding to the i-th operating parameter, A is is the first adjustment coefficient corresponding to the last operation parameter of the ith operation, X 1i is a variable, and X 1i is positively correlated with i, and X 11 <0,X 1(n-1) >0, i is the first serial number of multiple operating parameters, i=1, 2, ..., n-1; and / or, The second adjustment coefficient is determined according to the following formula: B j =B js +Y 1j , where B j is the second adjustment coefficient corresponding to the jth operating parameter, B js is the second adjustment coefficient corresponding to the jth operating parameter last time, Y 1j is a variable, and Y 1j is positively correlated with j, and Y 11 <0, Y 1n >0, j is the second serial number of the plurality of operating parameters, j=1, 2, ..., n; Determining the first adjustment coefficient and / or the second adjustment coefficient according to the confirmation method corresponding to the second preset condition includes: Determine the first adjustment coefficient according to the following formula: A i =A is +X 1i , where A i is the first adjustment coefficient corresponding to the i-th operating parameter, A is is the first adjustment coefficient corresponding to the last operation parameter of the ith operation, X 1i is a variable, and X 1i is positively correlated with i, and X 11 <0,X 1(n-1) >0, i is the first serial number of multiple operating parameters, i=1, 2, ..., n-1; and / or, The second adjustment coefficient is determined according to the following formula: B j =B js +Y 1j , where B j is the second adjustment coefficient corresponding to the jth operating parameter, B js is the second adjustment coefficient corresponding to the jth operating parameter last time, Y 1j is a variable, and Y 1j is positively correlated with j, and Y 11 <0, Y 1n >0, j is the second serial number of the plurality of operating parameters, j=1, 2, ..., n; Determining the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the third preset condition includes: Determine the first adjustment coefficient according to the following formula: A i =A is +X 2i , where X 2i is a variable, and X 1i is negatively correlated with i, and X 21 >0,X 2(n-1) <0; and / or, The second adjustment coefficient is determined according to the following formula: B j =B js +Y 2j , where Y 2j is a variable, and Y 1j is negatively correlated with j, and Y 21 >0, Y 2n <0; Determining the first adjustment coefficient and / or the second adjustment coefficient in a confirmation manner corresponding to the fourth preset condition includes: Determine the first adjustment coefficient according to the following formula: A i =A is +X 2i , where X 2i is a variable, and X 1i is negatively correlated with i, and X 21 >0,X 2(n-1) <0; and / or, The second adjustment coefficient is determined according to the following formula: B j =B js +Y 2j , where Y 2j is a variable, and Y 1j is negatively correlated with j, and Y 21 >0, Y 2n <0.

8. The method according to claim 5, characterized in that The preset condition includes a second preset condition and / or a fourth preset condition; The adjustment coefficient is determined according to the confirmation method corresponding to the preset conditions, including: The second preset condition includes that the maximum value of the operating parameter is less than the lower threshold value of the operating parameter range, and the first fluctuation rate is greater than the upper threshold value of the fluctuation range; the third adjustment coefficient is determined according to the confirmation method corresponding to the second preset condition; The fourth preset condition includes that the maximum value of the operating parameter is equal to the upper threshold value of the operating parameter range; and the third adjustment coefficient is determined according to the confirmation method corresponding to the fourth preset condition.

9. The method according to claim 8, characterized in that Determining the third adjustment coefficient according to the confirmation method corresponding to the second preset condition includes: The third adjustment coefficient is determined according to the following formula: C = C s ×f2 / F x , where C is the third adjustment coefficient, r1≤C≤r2, r1 is the first coefficient threshold, r2 is the second coefficient threshold, C s is the third adjustment coefficient of the previous time; Determining the third adjustment coefficient according to the confirmation method corresponding to the fourth preset condition includes: The third adjustment coefficient is determined according to the following formula: C = C s ×r3, where r3 is the third coefficient threshold.

10. The method according to claim 5, characterized in that During the first time period, the control parameter correction value corresponding to the preset operating parameter is less than the preset correction value; During the second time period, the control parameter correction value corresponding to the preset operating parameter is greater than or equal to the preset correction value.

11. A device for adjusting a control parameter of a device, comprising a processor and a memory storing program instructions, characterized in that: The processor is configured to execute the method for adjusting a device control parameter according to any one of claims 1 to 10 when executing the program instructions.

12. A household appliance, characterized in that: include: one or more devices; and, The apparatus for adjusting a device control parameter according to claim 11, is configured to adjust one or more devices.

Images