An air conditioner energy-saving control method based on environmental parameter adaptation

Abstract

The application discloses an air conditioner energy-saving control method based on environmental parameter self-adaption, and relates to the technical field of air conditioner energy-saving.The running data of a target air conditioner under different set temperatures is acquired, an aging evaluation index is obtained through processing, and then an actual regulation temperature is generated; when the target air conditioner is running, indoor and outdoor temperature and humidity data are collected to obtain a recommended temperature; historical use data are analyzed to obtain an energy-saving coefficient; the compressor power is adjusted according to the actual regulation temperature, the recommended temperature and the energy-saving coefficient, and different adjustment strategies are formulated under different running modes; meanwhile, outdoor wind condition data are acquired to obtain a wind condition coefficient, and the target air conditioner outdoor unit fan power is adjusted according to the wind condition coefficient; the method can comprehensively consider multiple environmental parameters, can reduce the air conditioner compressor power and the outdoor unit fan power while guaranteeing the user comfort, and thus the purpose of air conditioner energy-saving is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of air conditioning energy saving, and particularly relates to an air conditioning energy saving control method based on environmental parameters. BACKGROUND

[0002] With the increasing global energy demand and the increasing awareness of environmental protection, air conditioning energy saving methods have become a key research field.

[0003] Traditional air conditioning control methods usually adopt a fixed operation mode, for example, a fixed temperature threshold is set, and when the indoor temperature is higher or lower than the threshold, the air conditioner starts the cooling or heating function; however, this control method ignores the influence of dynamic changes of environmental parameters on air conditioning energy consumption.

[0004] It is a problem to be solved to add consideration of environmental factors to the energy saving mode of household air conditioners, and therefore, the present application provides an air conditioning energy saving control method based on environmental parameters. SUMMARY

[0005] The present application aims to provide an air conditioning energy saving control method based on environmental parameters.

[0006] The object of the present application can be achieved by the following technical solution: an air conditioning energy saving control method based on environmental parameters, comprising the following steps:

[0007] Obtaining the running data of the target air conditioner at different set temperatures in the indoor area, and processing the running data to obtain the aging evaluation index of the target air conditioner;

[0008] Generating the actual adjustment temperature corresponding to each set temperature of the target air conditioner according to the obtained aging evaluation index;

[0009] During the operation of the target air conditioner, obtaining the indoor temperature and humidity values and the outdoor temperature and humidity values, processing the indoor temperature and humidity and the outdoor temperature and humidity to obtain the recommended temperature;

[0010] Obtaining the historical use data of the target air conditioner in a set time interval, and processing the historical use data to obtain the energy saving coefficient of the target air conditioner;

[0011] Adjusting the power of the compressor of the target air conditioner in different operation modes according to the obtained actual adjustment temperature, recommended temperature and energy saving coefficient;

[0012] During the operation of the target air conditioner, obtaining the wind condition data of the outdoor, processing the wind condition data to obtain the wind condition coefficient, and adjusting the fan power of the outdoor unit of the target air conditioner according to the wind condition coefficient.

[0013] Preferably, the process of obtaining the running data of the target air conditioner at different set temperatures in the indoor area, and processing the running data to obtain the aging evaluation index of the target air conditioner is as follows:

[0014] The running data includes power consumption, area temperature, running current and air volume;

[0015] By dividing the indoor area into x sub-areas, and recording the temperature of each sub-area as the area temperature;

[0016] Setting a data collection period, obtaining the area temperature of each sub-area in the data collection period, and processing the area temperature of each sub-area to obtain the average temperature, temperature range and temperature wave rate of the indoor area;

[0017] According to the obtained average temperature, temperature range and temperature wave rate, the temperature evaluation index of the target air conditioner at the set temperature is obtained;

[0018] Processing the power consumption, running current and air volume to obtain the parameter evaluation index of the target air conditioner at the set temperature;

[0019] Normalizing the temperature evaluation index and the parameter evaluation index to obtain the aging index of the target air conditioner at the set temperature;

[0020] Taking the average of the aging index at each set temperature as the aging evaluation index of the target air conditioner.

[0021] Preferably, the process of processing the power consumption, running current and air volume to obtain the parameter evaluation index of the target air conditioner at the set temperature is as follows:

[0022] Generating current data and air volume data of the target air conditioner in the data collection period to generate current change curve and air volume change curve corresponding to the data collection period;

[0023] And according to the drawn current change curve and air volume change curve, the corresponding current average and air average are obtained respectively;

[0024] According to the power consumption, average and air average of the target air conditioner in the data collection period, the parameter evaluation index is obtained.

[0025] Preferably, the process of obtaining the actual adjustment temperature corresponding to each set temperature of the target air conditioner according to the obtained aging evaluation index is as follows:

[0026] Obtaining the temperature adjustment coefficient based on the aging evaluation index;

[0027] According to the set temperature of the target air conditioner and the temperature adjustment coefficient, the actual adjustment temperature corresponding to the set temperature of the target air conditioner is obtained.

[0028] Preferably, the process of obtaining the temperature adjustment coefficient based on the aging evaluation index is as follows:

[0029] A plurality of aging evaluation index intervals are preset, and different aging evaluation index intervals correspond to different temperature adjustment coefficients;

[0030] The aging evaluation index interval in which the aging evaluation index is located is matched, so as to obtain the temperature adjustment coefficient corresponding to the aging evaluation index.

[0031] Preferably, the process of processing the indoor temperature and humidity and the outdoor temperature and humidity to obtain the recommended temperature is as follows:

[0032] The indoor temperature and humidity value and the outdoor temperature and humidity value are processed respectively to obtain indoor comfort and outdoor comfort respectively;

[0033] According to the indoor comfort and the outdoor comfort, a comfort difference is obtained;

[0034] A suitable comfort interval is preset, and the recommended temperature is obtained based on the comfort difference, the indoor comfort, and the suitable comfort interval.

[0035] Preferably, the process of obtaining the historical use data of the target air conditioner in the set time interval, processing the historical use data, and obtaining the energy saving coefficient of the target air conditioner is as follows:

[0036] The historical use data includes: average power consumption per hour at each set temperature, and running time at each set temperature;

[0037] The set temperature corresponding to the maximum running time is extracted as the frequent temperature, and the corresponding actual adjustment temperature is obtained based on the frequent temperature;

[0038] The average power consumption corresponding to the frequent temperature is extracted as the frequent power consumption;

[0039] The rated energy consumption of the target air conditioner under standard working conditions is obtained, and the energy consumption ratio is obtained according to the frequent power consumption and the rated energy consumption;

[0040] A preset energy saving temperature threshold and a penalty coefficient are obtained, and a temperature setting adjustment coefficient is obtained according to the energy saving temperature threshold and the penalty coefficient;

[0041] The energy saving coefficient of the target air conditioner is obtained according to the obtained temperature setting adjustment coefficient and the energy consumption ratio.

[0042] Preferably, the process of adjusting the power of the compressor of the target air conditioner in different operating modes according to the obtained actual adjustment temperature, the recommended temperature, and the energy saving coefficient is as follows:

[0043] The operating modes include: a cooling mode and a heating mode;

[0044] In the cooling mode:

[0045] D1: if the actual adjustment temperature is greater than or equal to the recommended temperature, the power of the target air conditioner compressor is not adjusted;

[0046] D2: if the actual adjustment temperature is less than the recommended temperature:

[0047] a temperature difference is obtained by subtracting the actual adjustment temperature from the recommended temperature;

[0048] an adjustment coefficient is obtained according to the temperature difference and the energy saving coefficient;

[0049] an adjustment power of the target air conditioner compressor in the cooling mode is obtained according to the adjustment coefficient and the current power of the target air conditioner compressor, and the power of the target air conditioner compressor is adjusted according to the obtained adjustment power;

[0050] in the heating mode:

[0051] W1: if the actual adjustment temperature is greater than the recommended temperature:

[0052] a high temperature difference is obtained by subtracting the recommended temperature from the actual adjustment temperature;

[0053] a reduction coefficient is obtained according to the high temperature difference and the energy saving coefficient;

[0054] a correction power is obtained according to the reduction coefficient and the current power, and the power of the target air conditioner compressor is adjusted according to the obtained correction power;

[0055] W2: if the actual adjustment temperature is less than or equal to the recommended temperature, the power of the target air conditioner compressor is not adjusted.

[0056] Preferably, the wind condition data is processed to obtain a wind condition coefficient, and the process of adjusting the fan power of the target air conditioner outdoor unit according to the wind condition coefficient is as follows:

[0057] The wind condition data includes wind direction data and wind speed data;

[0058] A maximum wind speed is preset, and an adjusted wind speed is obtained according to the maximum wind speed and the wind speed data;

[0059] An angle between the outdoor unit of the target air conditioner and the wind is obtained according to the wind direction data;

[0060] A fan coefficient is obtained according to the adjusted wind speed and the angle between the outdoor unit and the wind;

[0061] A wind condition power of the fan is obtained according to the fan coefficient and the current fan operating power;

[0062] The fan power of the target air conditioner outdoor unit is adjusted according to the wind condition power.

[0063] Compared with the prior art, the present application has the following advantages:

[0064] The application obtains an aging evaluation index by processing operation data of a target air conditioner, further obtains an actual adjustment temperature based on the aging evaluation index, and adjusts power of a compressor of the target air conditioner according to the actual adjustment temperature, a recommended temperature and an energy-saving coefficient, so that the power of the compressor of the target air conditioner is maximally reduced under the premise of ensuring user comfort, thereby achieving the effect of energy saving.

[0065] The application obtains a wind condition coefficient by analyzing outdoor wind condition data, so that power of a fan in an outdoor unit of the target air conditioner can be dynamically adjusted according to actual outdoor wind conditions, and the fan is prevented from running at high power when unnecessary, thereby achieving the effect of energy saving. BRIEF DESCRIPTION OF DRAWINGS

[0066] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments described in the present application, and other drawings can also be obtained by those skilled in the art based on these drawings.

[0067] Figure 1 The schematic diagram of the present application. DETAILED DESCRIPTION

[0068] As shown in the figure, an air conditioner energy-saving control method based on adaptive environmental parameters comprises obtaining operation data of a target air conditioner at different set temperatures in an indoor area, processing the operation data to obtain an aging evaluation index of the target air conditioner. Figure 1

[0069] The operation data comprises power consumption, area temperature, operating current and air volume.

[0070] By dividing the indoor area into x sub-areas, each sub-area is labeled and denoted as i, where i=1, 2, …, x, and the temperature corresponding to the sub-area labeled i is denoted as area temperature WD i .

[0071] A data collection period is set, and the area temperature WD i of each sub-area in the data collection period is obtained, and the area temperature WD i of each sub-area is processed to obtain the average temperature SN, the temperature range WJ and the temperature wave rate WB of the indoor area.

[0072] According to the obtained average temperature SN, the temperature range WJ and the temperature wave rate WB, a temperature evaluation index WDP of the target air conditioner at the set temperature is obtained, wherein:

[0073]

[0074] ​Wherein, YS represents the target air conditioner set temperature, a1 and a4 are weight influence factors corresponding to the internal average temperature SN, a2 and a5 are weight influence factors corresponding to the temperature range WJ, and a3 and a6 are weight influence factors corresponding to the temperature wave rate WB.

[0075] In detail, the greater the value of the temperature range, the greater the temperature difference of the indoor sub-regions, and the more serious the aging degree of the air conditioner; the greater the value of the temperature wave rate, the greater the temperature difference of the indoor sub-regions, and the more serious the aging degree of the air conditioner, and the greater the difference between the internal average temperature and the set temperature, which can also indicate that the aging degree of the air conditioner is more serious; the temperature evaluation index WDP comprehensively considers the temperature range, the temperature wave rate, and the difference between the internal average temperature and the set temperature, so that the aging degree of the target air conditioner can be more accurately reflected.

[0076] In detail, the internal average temperature S N Specifically: Wherein, z i is a preset weight influence factor corresponding to the sub-region with the label i;

[0077] In detail, the temperature range WJ is specifically: WJ = (WD i ) max - (WD i ) min .

[0078] In detail, the temperature wave rate WB is specifically: Wherein represents the average temperature of each sub-region;

[0079] The power consumption, operating current and air volume are processed to obtain the parameter evaluation index CS of the target air conditioner at the set temperature.

[0080] The current data and air volume data of the target air conditioner in the data collection period are generated to generate the current change curve and the air volume change curve corresponding to the data collection period; the current change curve and the air volume change curve are functionally fitted, and the current change curve and the air volume change curve after fitting are averaged by integral method, and the obtained results are respectively taken as the flow average LJZ and the air average FJZ; the parameter evaluation index CS is obtained according to the power consumption HDL, the average LJZ and the air average FJZ of the target air conditioner in the data collection period, wherein:

[0081]

[0082] Wherein, LJZ 标准 represents the standard reference value of the flow average, FJZ 标准 represents the standard reference value of the air average, and HDL 标准The standard reference value representing the power consumption is q1, q2 and q3, respectively representing the flow average, the wind average and the weight influence factor of the power consumption;

[0083] In detail, the current, the air volume and the power consumption are combined to calculate the parameter evaluation index, which can comprehensively reflect the comprehensive situation of multiple key parameters during the operation of the air conditioner; the current reflects the power consumption characteristics of the air conditioner operation, the air volume reflects the air delivery capacity, and the power consumption directly reflects the energy consumption; the multi-parameter fusion avoids the one-sidedness of single parameter evaluation, and provides more abundant and comprehensive basis for accurately evaluating the aging degree of the air conditioner;

[0084] The temperature evaluation index WDP and the parameter evaluation index CS are normalized to obtain the aging index CJ of the target air conditioner at the set temperature, wherein:

[0085] CJ=WDP*s1+CS*s2;

[0086] Wherein s1 and s2 are the weight influence factors corresponding to the temperature evaluation index WDP and the parameter evaluation index CS, respectively;

[0087] Taking the average of the aging indexes at each set temperature as the aging evaluation index of the target air conditioner.

[0088] According to the obtained aging evaluation index, the actual adjustment temperature SJ of the target air conditioner corresponding to each set temperature is generated;

[0089] Based on the aging evaluation index, the temperature adjustment coefficient XS is obtained:

[0090] A plurality of intervals of the aging evaluation index are preset, different temperature adjustment coefficients correspond to different intervals of the aging evaluation index, the larger the aging evaluation index, the larger the corresponding temperature adjustment coefficient, and the temperature adjustment coefficient corresponding to the aging evaluation index is obtained by matching the aging evaluation index in the interval of the aging evaluation index;

[0091] According to the set temperature YSW of the target air conditioner and the temperature adjustment coefficient XS, the actual adjustment temperature SJ corresponding to the target air conditioner in the cooling mode and the heating mode is obtained, wherein:

[0092]

[0093] In detail, the preset temperature is often the set value in the ideal state, but as the aging degree of the air conditioner increases, the actual temperature often fails to reach the preset temperature; if the air conditioner is aging, the cooling or heating efficiency may decrease, and the temperature adjustment coefficient adjusts the actual adjustment temperature, so that the subsequent analysis is more accurate.

[0094] In the operation process of the target air conditioner, the indoor temperature and humidity values and the outdoor temperature and humidity values are obtained, and the indoor temperature and humidity and the outdoor temperature and humidity are processed to obtain the recommended temperature;

[0095] The indoor and outdoor temperature and humidity values are processed respectively to obtain indoor comfort degree C in and outdoor comfort degree C out , wherein:

[0096]

[0097] wherein, T in and T out represent indoor and outdoor temperature respectively, H in and H out represent indoor and outdoor humidity respectively;

[0098] According to the indoor comfort degree C in and the outdoor comfort degree C out , a comfort difference is obtained.

[0099] A suitable comfort degree interval is preset, and a recommended temperature is obtained based on the comfort difference, the indoor comfort degree C in and the suitable comfort degree interval.

[0100] In detail, the comfort difference is calculated as: comfort difference = indoor comfort degree C in -outdoor comfort degree C out .

[0101] In detail, the recommended temperature is obtained as:

[0102] If the comfort difference is greater than or equal to 0, and the indoor comfort degree C in is greater than the maximum value of the suitable comfort degree interval, then

[0103]

[0104] wherein, T in represents indoor temperature, and r1 represents a preset adjustment coefficient.

[0105] If the comfort difference is greater than or equal to 0, and the indoor comfort degree C in is within the suitable comfort degree interval, then the recommended temperature = indoor temperature.

[0106] If the comfort difference is greater than or equal to 0, and the indoor comfort degree C in is less than the minimum value of the suitable comfort degree interval, then

[0107]

[0108] wherein, r2 represents a preset adjustment coefficient.

[0109] If the comfort difference is less than 0, and the indoor comfort degree C in is greater than the maximum value of the suitable comfort degree interval, then

[0110]

[0111] wherein r3 represents a preset adjustment coefficient;

[0112] If the comfort difference is less than 0, and the indoor comfort C in In the appropriate comfort interval, then

[0113]

[0114] wherein r4 represents a preset adjustment coefficient;

[0115] If the comfort difference is less than 0, and the indoor comfort C in Less than the minimum value of the appropriate comfort interval, then

[0116]

[0117] wherein r5 represents a preset adjustment coefficient;

[0118] In detail, the size relationship of r1, r2, r3, r4, r5 is: r4>r5>r2>r1>r3.

[0119] In detail, the recommended temperature fully considers the difference between indoor and outdoor temperature and humidity on the human comfort; by calculating the indoor and outdoor comfort difference, combined with the preset appropriate comfort interval to determine the recommended temperature, the recommended temperature can better meet the actual needs of the human body;

[0120] In detail, the accurate recommended temperature can effectively avoid unnecessary energy consumption of the air conditioner; when the recommended temperature and the actual adjustment temperature are reasonably matched, the air conditioner does not need to be cooled or heated excessively; in the cooling mode, if the recommended temperature is increased, the running power of the air conditioner compressor can be correspondingly reduced, reducing energy consumption; in the heating mode, the reasonable recommended temperature can prevent the air conditioner from overheating, achieving the purpose of energy saving.

[0121] Obtain the historical use data of the target air conditioner in the set time interval, process the historical use data to obtain the energy saving coefficient JNX of the target air conditioner;

[0122] The historical use data includes: the average power consumption per hour under each set temperature, and the running time under each set temperature;

[0123] Extract the set temperature corresponding to the maximum running time as the frequent temperature, and obtain the corresponding actual adjustment temperature SJ based on the frequent temperature;

[0124] Extract the average power consumption corresponding to the frequent temperature as the frequent power consumption E;

[0125] Obtain the rated energy consumption E rated, according to the frequent power consumption E and the rated energy consumption E rated to obtain the energy consumption ratio R, wherein:

[0126]

[0127] In detail, the larger the energy consumption ratio R is, the less energy-saving the use of the target air conditioner is;

[0128] a preset energy-saving temperature threshold WD 阈值 and a penalty coefficient p, according to the energy-saving temperature threshold WD 阈值 and the penalty coefficient p to obtain a temperature setting adjustment coefficient WT, wherein:

[0129] WT=1+p*(WD 阈值 -SJ);

[0130] In detail, the setting of the energy-saving temperature threshold can refer to the human comfort standard, for example, in the embodiment, the time interval is set to summer, and the human body is more comfortable at a temperature between 24 degrees and 28 degrees in summer, so the energy-saving temperature threshold can be set to 26 degrees.

[0131] In detail, the smaller the actual adjustment temperature is, the greater the difference from the energy-saving temperature threshold is, the less energy-saving the use of the target air conditioner is, and the greater the obtained temperature setting adjustment coefficient is.

[0132] According to the obtained temperature setting adjustment coefficient WT and the energy consumption ratio R, an energy-saving coefficient JNX of the target air conditioner is obtained, wherein:

[0133]

[0134] In detail, by collecting historical use data of the target air conditioner in the set time interval, including the average power consumption and the use time at each set temperature, the actual running condition thereof can be deeply analyzed; the energy consumption ratio is calculated by using the frequent temperature, the frequent power consumption, the rated energy consumption and the like, so as to intuitively show the difference between the energy consumption of the air conditioner at the commonly used temperature setting and the rated energy consumption under the standard working condition, thereby providing a quantitative basis for judging the energy-saving condition of the air conditioner; further considering the relationship between the actual adjustment temperature and the energy-saving temperature threshold, the temperature adjustment coefficient is obtained, so that the energy-saving coefficient can comprehensively and accurately reflect the energy-saving level of the air conditioner in the actual use scenario.

[0135] According to the obtained actual adjustment temperature, the recommended temperature and the energy-saving coefficient JNX, the power of the compressor of the target air conditioner in different operation modes is adjusted.

[0136] The operation modes include: a cooling mode and a heating mode.

[0137] In the cooling mode:

[0138] D1: if the actual adjustment temperature ≥ the recommended temperature, do not adjust the power of the target air conditioner compressor;

[0139] D2: if the actual adjustment temperature < the recommended temperature:

[0140] Subtract the actual adjustment temperature from the recommended temperature to obtain a temperature difference WC;

[0141] After normalizing the temperature difference WC and the energy saving coefficient JNX, a weighting process is performed to obtain an adjustment coefficient;

[0142] In detail, the adjustment coefficient obtained by taking into account the temperature difference WC and the energy saving coefficient JNX can enable the subsequent adjustment of the power of the target air conditioner compressor to achieve the maximum energy saving effect under the premise of ensuring comfort;

[0143] According to the adjustment coefficient and the current power of the target air conditioner compressor, an adjustment power of the target air conditioner compressor in the cooling mode is obtained, and the power of the target air conditioner compressor is adjusted to the adjustment power according to the obtained adjustment power; in the heating mode:

[0144] W1: if the actual adjustment temperature > the recommended temperature:

[0145] Subtract the recommended temperature from the actual adjustment temperature to obtain a high temperature difference GWC;

[0146] After normalizing the high temperature difference GWC and the energy saving coefficient JNX, a weighting process is performed to obtain a reduction coefficient;

[0147] A correction power is obtained by using the formula: correction power = current power * (1-reduction coefficient), and the power of the target air conditioner compressor is adjusted to the correction power according to the obtained correction power;

[0148] W2: if the actual adjustment temperature ≤ the recommended temperature, do not adjust the power of the target air conditioner compressor.

[0149] In the operation process of the target air conditioner, wind condition data of the outdoor is obtained, the wind condition data is processed to obtain a wind condition coefficient, and the fan power of the outdoor unit of the target air conditioner is adjusted according to the wind condition coefficient;

[0150] The wind condition data includes wind direction data and wind speed data v;

[0151] A maximum wind speed v max is preset, and the adjustment wind speed v o is obtained according to the formula:

[0152] According to the wind direction data, an included angle θ between the outdoor unit of the target air conditioner and the wind is obtained;

[0153] According to the adjustment wind speed v o ​And the angle θ between the outdoor unit and the wind gets the fan coefficient k, wherein:

[0154] k=1-α*v o *cos 2 (θ)

[0155] Wherein, α represents an empirical coefficient;

[0156] In detail, the greater the adjustment wind speed and the closer the angle between the outdoor unit and the wind to 90 degrees, the more heat can be taken away by the wind, and the power of the target air conditioner outdoor unit fan can be appropriately reduced;

[0157] In detail, the empirical coefficient is a constant that comprehensively considers multiple factors, which links the two variables of adjustment wind speed and the angle between the outdoor unit and the wind, to quantify the influence of wind conditions on fan power adjustment, and the numerical size reflects the comprehensive influence degree of wind speed and angle on fan power adjustment under specific air conditioning system and environmental conditions, and the value interval is (0, 1);

[0158] According to the fan coefficient k and the current fan operating power p, the fan wind condition power p o is obtained, wherein: p0=k*p;

[0159] According to the fan wind condition power p o , the fan power of the air conditioner outdoor unit is adjusted to the wind condition power p o .

[0160] In detail, the angle θ between the outdoor unit and the wind refers to: taking the vertical direction of the outdoor unit as the reference line, and the angle formed by the reference line and the straight line represented by the direction of the wind, the angle interval is [0, 90].

[0161] The above is only a preferred embodiment of the present application, and does not limit the present application in any form. Although the present application has been disclosed as above with a preferred embodiment, it is not intended to limit the present application. Any person skilled in the art can make some changes or modifications to the above disclosed technical content to make equivalent embodiments with equivalent changes, but as long as it does not deviate from the technical solution of the present application, any modification or equivalent replacement of the above embodiments according to the technical essence of the present application is still within the scope of the technical solution of the present application.

Claims

1. An air conditioning energy-saving control method based on environmental parameter self-adaptation, characterized in that, The method comprises the following steps: obtaining running data of the target air conditioner at different set temperatures in an indoor area, and processing the running data to obtain an aging evaluation index of the target air conditioner; generating actual adjustment temperatures of the target air conditioner corresponding to the set temperatures according to the obtained aging evaluation index; obtaining indoor and outdoor temperature and humidity values during the running of the target air conditioner, and processing the indoor and outdoor temperature and humidity to obtain a recommended temperature; obtaining historical use data of the target air conditioner in a set time interval, and processing the historical use data to obtain an energy-saving coefficient of the target air conditioner; adjusting the power of the compressor of the target air conditioner in different running modes according to the obtained actual adjustment temperature, recommended temperature and energy-saving coefficient; obtaining outdoor wind condition data during the running of the target air conditioner, processing the wind condition data to obtain a wind condition coefficient, and adjusting the fan power of the outdoor unit of the target air conditioner according to the wind condition coefficient; The process of obtaining the running data of the target air conditioner at different set temperatures in an indoor area and processing the running data to obtain an aging evaluation index of the target air conditioner comprises: The running data comprises power consumption, area temperature, running current and air volume; The indoor area is divided into x sub-areas, and the temperature of each sub-area is recorded as the area temperature; A data collection period is set, the area temperature of each sub-area in the data collection period is obtained, and the area temperature of each sub-area is processed to obtain the average temperature, temperature range and temperature wave rate of the indoor area; According to the obtained average temperature, temperature range and temperature wave rate, the temperature evaluation index of the target air conditioner at the set temperature is obtained; The power consumption, running current and air volume are processed to obtain the parameter evaluation index of the target air conditioner at the set temperature; The temperature evaluation index and the parameter evaluation index are normalized to obtain the aging index of the target air conditioner at the set temperature; The average value of the aging index at each set temperature is taken as the aging evaluation index of the target air conditioner.

2. The energy saving control method of an air conditioner based on environmental parameters according to claim 1, wherein, The process of processing the power consumption, running current and air volume to obtain the parameter evaluation index of the target air conditioner at the set temperature comprises: The current data and air volume data of the target air conditioner in the data collection period are generated to obtain the current change curve and air volume change curve corresponding to the data collection period; According to the drawn current change curve and air volume change curve, the current average value and air average value are obtained respectively; According to the power consumption, current average value and air average value of the target air conditioner in the data collection period, the parameter evaluation index is obtained.

3. The energy saving control method of an air conditioner based on environmental parameters according to claim 1, wherein, The process of generating the actual adjustment temperature of the target air conditioner corresponding to the set temperature according to the obtained aging evaluation index comprises: obtaining a temperature adjustment coefficient based on the aging evaluation index; obtaining the actual adjustment temperature of the target air conditioner at the set temperature according to the set temperature of the target air conditioner and the temperature adjustment coefficient.

4. The energy-saving control method of an air conditioner based on environmental parameters according to claim 3, characterized in that, The process of obtaining the temperature adjustment coefficient based on the aging evaluation index comprises: predefining a plurality of aging evaluation index intervals, each aging evaluation index interval corresponding to a different temperature adjustment coefficient; matching the aging evaluation index interval where the aging evaluation index is located to obtain the temperature adjustment coefficient corresponding to the aging evaluation index.

5. The energy saving control method of an air conditioner based on an environmental parameter self-adaptation according to claim 1, characterized in that, The process of processing indoor temperature and humidity and outdoor temperature and humidity to obtain a recommended temperature is: The indoor temperature and humidity values and the outdoor temperature and humidity values are processed respectively to obtain indoor comfort and outdoor comfort respectively; According to the indoor comfort and the outdoor comfort, a comfort difference is obtained; A suitable comfort interval is preset, and a recommended temperature is obtained based on the comfort difference, the indoor comfort, and the suitable comfort interval.

6. The energy saving control method of an air conditioner based on an environmental parameter self-adaptation according to claim 1, characterized in that, The process of obtaining historical usage data of the target air conditioner in a set time interval, processing the historical usage data, and obtaining an energy-saving coefficient of the target air conditioner is: The historical usage data includes: average power consumption per hour at each set temperature, and running time at each set temperature; A set temperature corresponding to a maximum running time is extracted as a frequent temperature, and an actual adjustment temperature corresponding to the frequent temperature is obtained; An average power consumption corresponding to the frequent temperature is extracted as a frequent power consumption; The rated energy consumption of the target air conditioner under standard working conditions is obtained, and an energy consumption ratio is obtained based on the frequent power consumption and the rated energy consumption; A preset energy-saving temperature threshold and a penalty coefficient are obtained, and a temperature setting adjustment coefficient is obtained based on the energy-saving temperature threshold and the penalty coefficient; The temperature setting adjustment coefficient and the energy consumption ratio are obtained, and an energy-saving coefficient of the target air conditioner is obtained.

7. The energy saving control method of an air conditioner based on self-adaption of environmental parameters according to claim 1, characterized in that, The process of adjusting the power of the target air conditioner compressor in different operating modes based on the obtained actual adjustment temperature, recommended temperature, and energy-saving coefficient is: The operating modes include: cooling mode and heating mode; In the cooling mode: D1: If the actual adjustment temperature is greater than or equal to the recommended temperature, the power of the target air conditioner compressor is not adjusted; D2: If the actual adjustment temperature is less than the recommended temperature: A temperature difference is obtained by subtracting the actual adjustment temperature from the recommended temperature; An adjustment coefficient is obtained based on the temperature difference and the energy-saving coefficient; An adjusted power of the target air conditioner compressor in the cooling mode is obtained based on the adjustment coefficient and the current power of the target air conditioner compressor, and the power of the target air conditioner compressor is adjusted based on the obtained adjusted power; In the heating mode: W1: If the actual adjustment temperature is greater than the recommended temperature: A high temperature difference is obtained by subtracting the recommended temperature from the actual adjustment temperature; A reduction coefficient is obtained based on the high temperature difference and the energy-saving coefficient; A modified power is obtained based on the reduction coefficient and the current power, and the power of the target air conditioner compressor is adjusted based on the obtained modified power; W2: If the actual adjustment temperature is less than or equal to the recommended temperature, the power of the target air conditioner compressor is not adjusted.

8. The energy saving control method of an air conditioner based on self- adaptation of environmental parameters according to claim 1, characterized in that, The process of processing wind condition data to obtain a wind condition coefficient and adjusting the fan power of the outdoor unit of the target air conditioner based on the wind condition coefficient is: The wind condition data includes wind direction data and wind speed data; A maximum wind speed is preset, and an adjusted wind speed is obtained based on the maximum wind speed and the wind speed data; An angle between the outdoor unit of the target air conditioner and the wind is obtained based on the wind direction data; A fan coefficient is obtained based on the adjusted wind speed and the angle between the outdoor unit and the wind; A wind condition power of the fan is obtained based on the fan coefficient and the current fan operating power; The fan power of the outdoor unit of the target air conditioner is adjusted based on the wind condition power.

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