Method and device for achieving self-cleaning and automatic reminding of intelligent air conditioning equipment

Abstract

The invention discloses a method and device for achieving self-cleaning and automatic reminding of intelligent air conditioner equipment, relates to the technical field of intelligent air conditioner data processing, and solves the problems that in the prior art, when corresponding sensors are lacked, whether an air conditioner needs to be cleaned or not cannot be effectively detected, a user cannot be reminded, dust accumulation on cooling fins of the air conditioner is caused, and the service life of the air conditioner is prolonged. The working efficiency of the air conditioner is low; and the user experience is influenced. Generating an aging coefficient according to the historical working data and generating an alarm signal according to the aging coefficient; generating standard power and actual power according to the standard power consumption and the actual power consumption; generating aging power according to the standard power and the aging coefficient; and when the accumulated number of uncleaned days is larger than the accumulated threshold value and the absolute value of the difference value between the aging power and the actual power is larger than the difference threshold value, a self-cleaning reminding signal is generated, air conditioner aging is considered in self-cleaning reminding, and meanwhile, cleaning reminding is generated by considering the power change and the accumulated number of uncleaned days. And the working efficiency of the air conditioner and the user experience are improved.

Description

Technical Field

[0001] The present application belongs to the technical field of intelligent air conditioner data processing, and specifically is a method and device for realizing automatic self-cleaning reminder of intelligent air conditioner equipment. Background Art

[0002] With the improvement of people's living standards, air conditioners have become an indispensable household appliance in daily life. Air conditioner self-cleaning refers to cleaning the dust and dirt on the heat sink when the air conditioner is turned off. If self-cleaning is not performed for a period of time, it may affect the energy efficiency and user experience of the air conditioner. Traditionally, users need to manually check and clean the air conditioner regularly, which is not only cumbersome but also difficult to ensure timeliness.

[0003] The prior art (invention patent application with publication number CN109340912A) discloses an air conditioner and a self-cleaning method thereof, comprising: detecting the amount of mold in the air conditioner to determine whether it is higher than a second limit value; if so, cleaning the air conditioner, if not, the air conditioner operates normally; detecting the air volume and the amount of mold through a sensor, if both are higher than the limit values, using high-temperature and high-pressure hot air to clean the heat exchanger of the air conditioner.

[0004] The above scheme uses sensors to detect the amount of mold to determine whether self-cleaning is needed. If the air conditioner is not equipped with the corresponding sensor, it will not be able to detect and remind the user, causing dust to accumulate on the air conditioner heat sink, resulting in low air conditioner working efficiency and affecting the user experience; therefore, the method and device for realizing automatic self-cleaning reminder for smart air conditioning equipment still needs to be further improved. Summary of the invention

[0005] The present application aims to solve at least one of the technical problems existing in the prior art; to this end, the present application proposes a method and device for realizing self-cleaning automatic reminder of intelligent air-conditioning equipment, which is used to solve the technical problem that the prior art cannot effectively detect whether the air conditioner needs to be cleaned and remind the user when there is a lack of corresponding sensors, resulting in dust accumulation on the air conditioner heat sink, resulting in low air conditioner working efficiency and affecting the user experience.

[0006] To achieve the above-mentioned purpose, the first aspect of the present application provides a method for realizing self-cleaning automatic reminder of intelligent air conditioning equipment, comprising:

[0007] S0: Obtain the time period T, standard power consumption, actual power consumption, historical working data and self-cleaning switch status; the historical working data includes working temperature, working humidity, high-load operation time and low-load operation time; the high-load operation time refers to the operation time when the air conditioner exceeds n% of the normal operating load upper limit; the low-load operation time refers to the operation time when the air conditioner is lower than (100-n)% of the normal operating load upper limit, where 0 <n<100;

[0008] S1: Generate an aging coefficient based on historical working data; generate an alarm signal based on the aging coefficient;

[0009] S2: Generate standard power and actual power according to standard power consumption and actual power consumption; Generate aging power according to standard power and aging coefficient; Determine whether the self-cleaning switch is in the off state; If yes, the cumulative number of days of uncleaning WQT=WQT+1; When the cumulative number of days of uncleaning is greater than the cumulative threshold, enter S3; No, WQT=0;

[0010] S3: Calculate the absolute value of the difference between the aging power and the actual power; determine whether the absolute value of the difference is greater than the difference threshold, if yes, generate a self-cleaning reminder signal; if no, do nothing.

[0011] The present application generates an aging coefficient based on historical working data; generates an alarm signal based on the aging coefficient; generates standard power and actual power based on standard power consumption and actual power consumption; generates aging power based on standard power and aging coefficient; when the cumulative number of uncleaned days is greater than the cumulative threshold, calculates the absolute value of the difference between the aging power and the actual power, and generates a self-cleaning reminder signal when the absolute value of the difference is greater than the difference threshold, taking the aging of the air conditioner into consideration in the self-cleaning reminder, and generating a cleaning reminder by considering power changes and the cumulative number of uncleaned days, thereby improving the working efficiency of the air conditioner and the user experience.

[0012] Furthermore, generating an aging coefficient according to historical working data includes:

[0013] Obtain the working temperature GWi and DWj, working humidity GSi and DSj, high-load operation time GTi and low-load operation time DTj in the historical working data;

[0014] Generate corresponding environmental impact coefficients GHYXi and DHYXj according to the working temperature and working humidity corresponding to each operating time;

[0015] Calculate the aging coefficient LX of the air conditioner through the formula;

[0016] LX=g×arctan(α1×∑(GTi / DGT×(1+GHYXi))+α2×∑(DTj / DGT×(1+DHYXj))); wherein g is the proportional coefficient, g∈(0,2 / π), α1 and α2 are weight coefficients, α1 and α2∈(0,1), and α2<α1; DGT is the unit duration; i represents the number of the high-load operating time, i=1, 2,…, M, where M is the total number of high-load operating time; j represents the number of the low-load operating time, j=1, 2,…, Q, where Q is the total number of low-load operating time.

[0017] Furthermore, the corresponding environmental impact coefficients GHYXi and DHYXj are generated according to the working temperature and working humidity corresponding to each operating time, including:

[0018] Obtain the working temperature GWi and working humidity GSi corresponding to the high-load operation time, the working temperatures DWj and DSj corresponding to the low-load operation time, and the optimum working temperature W and the optimum working humidity S;

[0019] Calculate the temperature influence coefficients GWYXi and DWYXj by the formula;

[0020] GWYXi=1-exp(-(|GWi-W| / DW)^βw);

[0021] DWYXj=1-exp(-(|DWj-W| / DW)^βw);

[0022] Calculate the humidity influence coefficients GSYXi and DSYXj by the formula;

[0023] GSYXi=1-exp(-(|GSi-S| / DS)^βs);

[0024] DSYXj=1-exp(-(|DSj-S| / DS)^βs);

[0025] Calculate the environmental impact coefficients GHYXi and DHYXj through the formula;

[0026] GHYXi=α3×GWYXi+α4×GSYXi;

[0027] DHYXj=α3×DWYXj+α4×DSYXj; wherein α3 and α4 are weight coefficients, α3 and α4∈(0,1); DW is unit temperature, DS is unit humidity, βs and βw are exponential coefficients, βs and βw∈(0,1).

[0028] Further, generating an alarm signal according to the aging coefficient includes:

[0029] Get the aging coefficient;

[0030] Determine whether the aging coefficient is greater than the aging threshold;

[0031] If yes, an air conditioning maintenance alarm signal is generated;

[0032] No, determine whether the aging coefficient is greater than D times the aging threshold; if yes, generate an air conditioning maintenance warning signal; if no, do nothing; wherein D is the proportional coefficient, D∈(0,1).

[0033] Further, the generating of the standard power and the actual power according to the standard power consumption and the actual power consumption includes:

[0034] Obtain the time period T and its standard power consumption BHD and actual power consumption SHD;

[0035] Calculate the standard power BG and actual power SG through the formula;

[0036] BG = BHD / T;

[0037] SG=SHD / T.

[0038] Further, generating the aging power according to the standard power and the aging coefficient includes:

[0039] Obtain standard power BG and aging coefficient LX;

[0040] Calculate the aging power LG through the formula;

[0041] LG = BG / (1-LX^(1+βg)); where βg is an exponential coefficient, βg∈(0,1).

[0042] Another aspect of the present invention provides a device for realizing automatic self-cleaning reminder of intelligent air conditioning equipment, comprising: a data acquisition device, a data analysis device, a control device, an early warning device and a data storage device;

[0043] The data acquisition device: acquires the time period T and its standard power consumption and actual power consumption, historical working data and self-cleaning switch status through the data acquisition device;

[0044] The data analysis device: generates an aging coefficient according to historical working data; generates an alarm signal according to the aging coefficient; generates a standard power and an actual power according to the standard power consumption and the actual power consumption; generates an aging power according to the standard power and the aging coefficient; calculates the absolute value of the difference between the aging power and the actual power; generates a self-cleaning reminder signal when the cumulative number of uncleaned days is greater than the cumulative threshold and the absolute value of the difference is greater than the difference threshold;

[0045] The control device sends the self-cleaning reminder signal, aging power, actual power and absolute value of difference to the user;

[0046] The early warning device: performs an alarm operation on the early warning signal and the alarm signal, and contacts relevant personnel;

[0047] The data storage device is used to store the cumulative threshold, the difference threshold, the standard power, the aging power and the actual power.

[0048] Compared with the prior art, the beneficial effects of this application are:

[0049] By generating an aging coefficient based on historical working data; generating an alarm signal according to the aging coefficient; generating a standard power and an actual power based on the standard power consumption and the actual power consumption; generating an aging power based on the standard power and the aging coefficient; when the cumulative number of days without cleaning is greater than the cumulative threshold, calculating the absolute value of the difference between the aging power and the actual power, and when the absolute value of the difference is greater than the difference threshold, generating a self-cleaning reminder signal, taking into account the air conditioner aging in the self-cleaning reminder, and at the same time considering the power change and the cumulative number of days without cleaning to generate a cleaning reminder, which improves the working efficiency and user experience of the air conditioner. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0051] Figure 1 It is a flowchart of a method for an intelligent air conditioner device to realize self-cleaning automatic reminder in the present application;

[0052] Figure 2 It is a schematic diagram of the device principle for an intelligent air conditioner device to realize self-cleaning automatic reminder in the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] The following will clearly and completely describe the technical solutions of the present application in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present application, rather than all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0054] Please refer to Figure 1 , the first aspect embodiment of the present application provides a method for an intelligent air conditioner device to realize self-cleaning automatic reminder, including:

[0055] S0: Obtain a time period T, a standard power consumption, an actual power consumption, historical working data, and a self-cleaning switch state; the historical working data includes a working temperature, a working humidity, a high-load operation duration, and a low-load operation duration; the high-load operation duration refers to the operation duration when the air conditioner exceeds n% of the upper limit of the normal operation load; the low-load operation duration refers to the operation duration when the air conditioner is lower than (100 - n)% of the upper limit of the normal operation load, where 0 < n < 100, and the specific value is set according to experience. In this embodiment, n is set to 85; the standard power consumption is the theoretical power consumption under a determined mode, temperature, and wind speed; the self-cleaning switch state includes an open state and a closed state;

[0056] S1: Generate an aging coefficient based on historical working data. The aging coefficient refers to the aging degree of the air-conditioning equipment; generate an alarm signal based on the aging coefficient;

[0057] S2: Generate standard power and actual power according to standard power consumption and actual power consumption, and the standard power and actual power correspond to the standard power consumption and actual power consumption; Generate aging power according to standard power and aging coefficient, and aging power refers to the power value reached by the air conditioner in the aging state; Determine whether the self-cleaning switch is in the off state; If yes, the cumulative number of days of uncleaning WQT=WQT+1; When the cumulative number of days of uncleaning is greater than the cumulative threshold, enter S3; No, WQT=0; The cumulative threshold is set according to experience, and in this embodiment, the cumulative threshold is set to 50 days;

[0058] S3: Calculate the absolute value of the difference between the aging power and the actual power; determine whether the absolute value of the difference is greater than the difference threshold, if yes, generate a self-cleaning reminder signal; if no, do nothing; the difference threshold is set based on experience.

[0059] This embodiment generates an aging coefficient based on historical working data; generates an alarm signal based on the aging coefficient; generates standard power and actual power based on standard power consumption and actual power consumption; generates aging power based on standard power and aging coefficient; when the cumulative number of uncleaning days is greater than the cumulative threshold, calculates the absolute value of the difference between the aging power and the actual power, and generates a self-cleaning reminder signal when the absolute value of the difference is greater than the difference threshold, taking the aging of the air conditioner into consideration in the self-cleaning reminder, and generating a cleaning reminder by considering power changes and the cumulative number of uncleaning days, thereby improving the working efficiency of the air conditioner and the user experience.

[0060] Generate aging factors based on historical operating data, including:

[0061] Obtain the working temperature GWi and DWj, working humidity GSi and DSj, high-load operation time GTi and low-load operation time DTj in the historical working data; GWi and DWj respectively represent the working temperature under different loads each time; GSi and DSj respectively represent the working humidity under different loads each time;

[0062] Generate corresponding environmental impact coefficients GHYXi and DHYXj according to the working temperature and working humidity corresponding to each operating time;

[0063] Calculate the aging coefficient LX of the air conditioner through the formula;

[0064] LX=g×arctan(α1×∑(GTi / DGT×(1+GHYXi))+α2×∑(DTj / DGT×(1+DHYXj))); where g is the proportionality coefficient, g∈(0,2 / π), and the specific value is set according to experience. The setting of g is to make the aging coefficient LX∈(0,1); α1 and α2 are weight coefficients, α1 and α2∈(0,1), and α2<α1, and the specific value is set according to experience; the longer the high-load operation time, the greater the impact of air conditioning aging, so the weight coefficient corresponding to the high-load operation time is set to The weight coefficient is set to be larger; DGT is the unit time, and the specific value is set according to experience. In this embodiment, DGT is set to 1 day; i represents the number of the high-load operation time, i=1, 2,..., M, M is the total number of high-load operation time; j represents the number of the low-load operation time, j=1, 2,..., Q, Q is the total number of low-load operation time; the longer the operation time, the greater the environmental impact coefficient during operation, and the more serious the aging of the air conditioner; as the air conditioner runs longer under different loads and the environmental coefficient becomes larger, the aging coefficient of the air conditioner will also increase accordingly.

[0065] The corresponding environmental impact coefficients GHYXi and DHYXj are generated according to the working temperature and working humidity corresponding to each operating time, including:

[0066] Obtain the working temperature GWi and working humidity DSi corresponding to the high-load operation time, the working temperatures GWj and DSj corresponding to the low-load operation time, and the optimum working temperature W and the optimum working humidity S;

[0067] Calculate the temperature influence coefficients GWYXi and DWYXj by the formula;

[0068] GWYXi=1-exp(-(|GWi-W| / DW)^βw);

[0069] DWYXj=1-exp(-(|DWj-W| / DW)^βw); The more the temperature deviates from the optimum working temperature, the more serious the impact of temperature on air conditioner aging will be, so the temperature anomaly coefficient will increase accordingly;

[0070] Calculate the humidity influence coefficients GSYXi and DSYXj by the formula;

[0071] GSYXi=1-exp(-(|GSi-S| / DS)^βs);

[0072] DSYXj=1-exp(-(|DSj-S| / DS)^βs); The more the humidity deviates from the optimum working humidity, the more serious the effect of humidity on air conditioner aging will be, so the humidity anomaly coefficient will increase accordingly;

[0073] Calculate the environmental impact coefficients GHYXi and DHYXj through the formula;

[0074] GHYXi=α3×GWYXi+α4×GSYXi;

[0075] DHYXj=α3×DWYXj+α4×DSYXj; wherein, α3 and α4 are weight coefficients, α3 and α4∈(0,1), and specific values ​​are set according to experience; DW is unit temperature, DS is unit humidity, and specific values ​​are set according to experience. In this embodiment, DW is set to 1°C and DS is set to 1%; βs and βw are exponential coefficients, βs and βw∈(0,1), and specific values ​​are set according to experience; the environmental impact coefficient takes temperature and humidity into consideration in this embodiment. The more the temperature deviates from the optimum working temperature and the more the humidity deviates from the optimum working humidity, the worse the working environment of the air conditioner is, which will have a serious impact on the aging of the air conditioner. Therefore, as the temperature anomaly coefficient and the humidity anomaly coefficient increase, the environmental anomaly coefficient will also increase accordingly.

[0076] Generates alarm signals based on aging factors, including:

[0077] Get the aging coefficient;

[0078] Determine whether the aging coefficient is greater than the aging threshold; the aging threshold refers to the maximum degree to which the air conditioner can still work normally. Once this limit is exceeded, the air conditioner needs to be repaired; the aging threshold is set based on experience;

[0079] If yes, an air conditioning maintenance alarm signal is generated;

[0080] No, determine whether the aging coefficient is greater than D times the aging threshold; yes, generate an air conditioning maintenance warning signal; no, do nothing; wherein D is the proportional coefficient, D∈(0,1); the specific value is set based on experience, and in this embodiment, D is set to 0.7.

[0081] Generates standard power and actual power based on standard power consumption and actual power consumption, including:

[0082] Obtain the time period T and its standard power consumption BHD and actual power consumption SHD; the time period T is set based on experience;

[0083] Calculate the standard power BG and actual power SG through the formula;

[0084] BG = BHD / T;

[0085] SG = SHD / T; if the time period T remains unchanged, in order for the air conditioner to achieve the effect in the current mode, more power consumption is required, so its corresponding power will increase accordingly.

[0086] Generate aged power based on standard power and aging factor, including:

[0087] Obtain standard power BG and aging coefficient LX;

[0088] The aging power LG is calculated by the formula. The aging power refers to the power required for the air conditioner to reach the preset target without considering other factors but only the aging effect when the air conditioner is aging.

[0089] LG=BG / (1-LX^(1+βg)); wherein βg is an exponential coefficient, βg∈(0,1), and the specific value is set based on experience; when the air-conditioning mode is determined, its standard power is also determined. As the air-conditioning ages, it requires more power to reach the preset target, so the aging power will increase accordingly.

[0090] See also Figure 2 , another aspect of the present application provides a device for realizing automatic self-cleaning reminder of intelligent air-conditioning equipment, including: a data acquisition device, a data analysis device, a control device, an early warning device and a data storage device;

[0091] Data acquisition device: obtain the time period T and its standard power consumption and actual power consumption, historical working data and self-cleaning switch status through the data acquisition device;

[0092] Data analysis device: generating an aging coefficient according to historical working data; generating an alarm signal according to the aging coefficient; generating standard power and actual power according to standard power consumption and actual power consumption; generating aging power according to standard power and aging coefficient; calculating the absolute value of the difference between aging power and actual power; generating a self-cleaning reminder signal when the cumulative number of uncleaned days is greater than the cumulative threshold and the absolute value of the difference is greater than the difference threshold;

[0093] Control device: sends the self-cleaning reminder signal, aging power, actual power and absolute value of difference to the user;

[0094] Early warning device: alarm the early warning signal and alarm signal and contact relevant personnel;

[0095] Data storage device: used to store cumulative threshold, difference threshold, standard power, aging power and actual power.

[0096] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0097] The working principle of the present application is as follows: by obtaining the time period T and its standard power consumption and actual power consumption, historical working data and self-cleaning switch status; generating an aging coefficient according to the historical working data; generating an alarm signal according to the aging coefficient; generating standard power and actual power according to the standard power consumption and actual power consumption; generating aging power according to the standard power and aging coefficient; when the cumulative number of days of uncleaning is greater than the cumulative threshold, calculating the absolute value of the difference between the aging power and the actual power, and when the absolute value of the difference is greater than the difference threshold, generating a self-cleaning reminder signal, taking the aging of the air conditioner into consideration in the self-cleaning reminder, and generating a cleaning reminder by considering the power change and the cumulative number of days of uncleaning, thereby improving the working efficiency and user experience of the air conditioner, and avoiding the problem that the prior art cannot effectively detect whether the air conditioner needs to be cleaned and remind the user when there is a lack of corresponding sensors, resulting in dust accumulation on the air conditioner heat sink, resulting in low working efficiency of the air conditioner and affecting the user experience.

[0098] The above embodiments are only used to illustrate the technical method of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical method of the present application may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present application.

Claims

1. A method for realizing automatic self-cleaning reminder of intelligent air conditioning equipment, characterized in that: include: S0: Acquire the time period T, standard power consumption, actual power consumption, historical working data and self-cleaning switch status; the historical working data includes working temperature, working humidity, high-load operation time and low-load operation time; S1: Generate an aging coefficient based on historical working data; generate an alarm signal based on the aging coefficient; S2: Generate standard power and actual power according to standard power consumption and actual power consumption; generate aging power according to standard power and aging coefficient; determine whether the self-cleaning switch is in the off state; if yes, the cumulative number of days without cleaning WQT=WQT+1; When the cumulative number of uncleaned days is greater than the cumulative threshold, enter S3; No, WQT=0; S3: Calculate the absolute value of the difference between the aging power and the actual power; determine whether the absolute value of the difference is greater than the difference threshold, if yes, generate a self-cleaning reminder signal; if no, do nothing.

2. A method for realizing automatic self-cleaning reminder of intelligent air conditioning equipment according to claim 1, characterized in that: The step of generating an aging coefficient according to historical working data includes: Obtain the working temperature GWi and DWj, working humidity GSi and DSj, high-load operation time GTi and low-load operation time DTj in the historical working data; Generate corresponding environmental impact coefficients GHYXi and DHYXj according to the working temperature and working humidity corresponding to each operating time; Calculate the aging coefficient LX of the air conditioner through the formula; LX=g×arctan(α1×∑(GTi / DGT×(1+GHYXi))+α2×∑(DTj / DGT×(1+DHYXj))); wherein g is the proportional coefficient, g∈(0,2 / π), α1 and α2 are weight coefficients, α1 and α2∈(0,1), and α2<α1; DGT is the unit duration; i represents the number of the high-load operating time, i=1, 2,…, M, where M is the total number of high-load operating time; j represents the number of the low-load operating time, j=1, 2,…, Q, where Q is the total number of low-load operating time.

3. The method for realizing automatic self-cleaning reminder of intelligent air conditioning equipment according to claim 2, characterized in that: The corresponding environmental impact coefficients GHYXi and DHYXj are generated according to the working temperature and working humidity corresponding to each operating time, including: Obtain the working temperature GWi and working humidity GSi corresponding to the high-load operation time, the working temperatures DWj and DSj corresponding to the low-load operation time, and the optimum working temperature W and the optimum working humidity S; Calculate the temperature influence coefficients GWYXi and DWYXj by the formula; GWYXi=1-exp(-(|GWi-W| / DW)^βw); DWYXj=1-exp(-(|DWj-W| / DW)^βw); Calculate the humidity influence coefficients GSYXi and DSYXj by the formula; GSYXi=1-exp(-(|GSi-S| / DS)^βs); DSYXj=1-exp(-(|DSj-S| / DS)^βs); Calculate the environmental impact coefficients GHYXi and DHYXj through the formula; GHYXi=α3×GWYXi+α4×GSYXi; DHYXj=α3×DWYXj+α4×DSYXj; wherein α3 and α4 are weight coefficients, α3 and α4∈(0,1); DW is unit temperature, DS is unit humidity, βs and βw are exponential coefficients, βs and βw∈(0,1).

4. The method for realizing automatic self-cleaning reminder of intelligent air conditioning equipment according to claim 1, characterized in that: The step of generating an alarm signal according to the aging coefficient comprises: Get the aging coefficient; Determine whether the aging coefficient is greater than the aging threshold; If yes, an air conditioning maintenance alarm signal is generated; No, determine whether the aging coefficient is greater than D times the aging threshold; if yes, generate an air conditioning maintenance warning signal; if no, do nothing; wherein D is the proportional coefficient, D∈(0,1).

5. The method for realizing automatic self-cleaning reminder of intelligent air conditioning equipment according to claim 1, characterized in that: The generating the standard power and the actual power according to the standard power consumption and the actual power consumption includes: Obtain the time period T and its standard power consumption BHD and actual power consumption SHD; Calculate the standard power BG and actual power SG through the formula; BG = BHD / T; SG=SHD / T.

6. The method for realizing automatic self-cleaning reminder of intelligent air conditioning equipment according to claim 1, characterized in that: The step of generating the aging power according to the standard power and the aging coefficient includes: Obtain standard power BG and aging coefficient LX; Calculate the aging power LG through the formula; LG = BG / (1-LX^(1+βg)); where βg is an exponential coefficient, βg∈(0,1).

7. A device for realizing self-cleaning automatic reminder for intelligent air conditioning equipment, applied to a method for realizing self-cleaning automatic reminder for intelligent air conditioning equipment according to any one of claims 1 to 6, characterized in that: include: Data acquisition device, data analysis device, control device, early warning device and data storage device; The data acquisition device: acquires the time period T and its standard power consumption and actual power consumption, historical working data and self-cleaning switch status through the data acquisition device; The data analysis device: generates an aging coefficient according to historical working data; generates an alarm signal according to the aging coefficient; generates standard power and actual power according to standard power consumption and actual power consumption; generates aging power according to standard power and aging coefficient; Calculate the absolute value of the difference between the aging power and the actual power; When the cumulative number of uncleaned days is greater than the cumulative threshold and the absolute value of the difference is greater than the difference threshold, a self-cleaning reminder signal is generated; The control device sends the self-cleaning reminder signal, aging power, actual power and absolute value of difference to the user; The early warning device: performs alarm operation on the early warning signal and the alarm signal, and contacts relevant personnel; The data storage device is used to store the cumulative threshold, the difference threshold, the standard power, the aging power and the actual power.

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