Remote intelligent control management system for air conditioner

Abstract

The application discloses a kind of air conditioner remote intelligent control management systems, belong to smart home technology and wisdom building technology field.The first control strategy of the region is calculated by the present application according to the relationship between benchmark temperature and preset temperature, and associated area;Air conditioner remote control device corrects the first control strategy according to discrete trend, and obtains the second control strategy;Air conditioner control device carries out remote control and management to intelligent air conditioner according to the second control strategy, realizes fine management to region, and further realizes that in the process of air conditioner opening and running, the adjustment control of opening and running to the region of crowd gathering and equipment gathering, low-power operation or shutdown for the region of less personnel or less equipment, reduce the unnecessary power loss of adjusting equipment, save energy.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart home and smart building, and particularly relates to an air conditioner remote intelligent control management system. BACKGROUND

[0002] With the use of air conditioners, in the field of building, the air conditioner often becomes one of the necessary structures of the building, especially for commercial buildings such as office buildings, the deployment and control mode of the air conditioner has become one of the main contents of construction and operation and maintenance.

[0003] The prior art adopts that the building centrally manages and operates the air conditioner according to fixed parameters, and deploys adjusting devices such as remote control devices in different spaces, so that the user can adjust the temperature according to own needs.

[0004] However, in actual use, the crowd distribution in the commercial building often exists in the scene of gathering according to time and space, so that when the whole building is taken as a temperature adjusting target, there are areas with few people or no people, and the air conditioner is still turned on, thereby causing waste of electric power energy. SUMMARY

[0005] In order to solve the problems of the prior art, the embodiment of the present application provides an air conditioner remote intelligent control management system. The technical scheme is as follows:

[0006] On the one hand, an air conditioner remote intelligent control management system is provided, and the system comprises a plurality of air conditioners, a plurality of air conditioner control devices and an air conditioner remote control device, wherein:

[0007] The air conditioner remote control device is used for acquiring description information of all to-be-controlled intelligent air conditioners, and classifying all the air conditioners based on the description information; wherein the description information comprises: a location of the intelligent air conditioner and an associated area of the intelligent air conditioner and other intelligent air conditioners;

[0008] The air conditioner remote control device acquires temperature information of the location in real time, and divides a to-be-controlled area into a plurality of relevant areas based on the associated area of the intelligent air conditioner and other intelligent air conditioners, and the relevant areas comprise a plurality of intelligent air conditioners;

[0009] The air conditioner remote control device calculates a reference temperature of the relevant area, and acquires a discrete trend of the plurality of relevant areas;

[0010] The air conditioner remote control device calculates a first control strategy of the area according to a relationship between the reference temperature and a preset temperature, and the associated area;

[0011] The air conditioner remote control device corrects the first control strategy according to the discrete trend to obtain a second control strategy.

[0012] The air conditioner control device remotely controls and manages the intelligent air conditioner according to the second control strategy.

[0013] Optionally, the air conditioner remote control device is configured to:

[0014] obtain a plurality of temperature sensor information in the to-be-controlled area;

[0015] calculate an effective temperature adjustment area of the air conditioner according to the plurality of temperature sensor information;

[0016] calculate a correlation area of the intelligent air conditioner and other intelligent air conditioners according to the effective temperature adjustment area;

[0017] obtain the description information according to the location of the intelligent air conditioner and the correlation area of the intelligent air conditioner and other intelligent air conditioners.

[0018] Optionally, the air conditioner remote control device is configured to:

[0019] obtain a function attribute of the location according to a building attribute of the location;

[0020] classify all the air conditioners according to the location, the correlation area, and the function attribute.

[0021] Optionally, the air conditioner remote control device is configured to:

[0022] obtain environmental temperature change data of the location, the environmental temperature including temperature change data caused by ventilation conditions and illumination conditions when there is no air conditioner to control temperature;

[0023] obtain spatial correlation data between the location and other locations;

[0024] calculate the correlation area according to the spatial correlation data;

[0025] divide the to-be-controlled area into a plurality of relevant areas according to the correlation area and the temperature change data.

[0026] Optionally, the air conditioner remote control device is configured to:

[0027] calculate temperature preference data in the relevant area, the temperature preference data including temperature change data after a human adjustment event;

[0028] obtain an average temperature corresponding to a time according to the temperature preference data;

[0029] calculating the reference temperature according to the ambient temperature change data and the average temperature;

[0030] obtaining reference temperatures of a plurality of regions, and calculating discrete trends of a plurality of related regions.

[0031] Optionally, the air conditioner remote control device is configured to:

[0032] calculating a temperature adjustment rate corresponding to the related region according to the ambient temperature change data;

[0033] when a difference between the current temperature and the reference temperature is greater than a preset value, calculating a corresponding temperature increasing / decreasing strategy according to the temperature adjustment rate.

[0034] Optionally, the air conditioner remote control device is configured to:

[0035] obtaining human adjustment events of the related region in a preset time period, and temperature change data after the human adjustment events;

[0036] correcting the reference temperature according to the human adjustment events and the temperature change data;

[0037] calculating a temperature adjustment rate corresponding to the related region according to the ambient temperature change data;

[0038] when a difference between the current temperature and the reference temperature is greater than a preset value, calculating a corresponding temperature increasing / decreasing strategy according to the temperature adjustment rate.

[0039] Optionally, the air conditioner remote control device is configured to:

[0040] obtaining discrete trends corresponding to different time periods;

[0041] correcting the first control strategy according to the discrete trends corresponding to the different time periods, and obtaining a second control strategy.

[0042] Optionally, the air conditioner remote control device is configured to:

[0043] obtaining temperature change data corresponding to different time periods;

[0044] calculating discrete trend data corresponding to the temperature change data;

[0045] correcting the first control strategy according to the discrete trend and the discrete trend data corresponding to the temperature change data, and obtaining a second control strategy.

[0046] Optionally, the air conditioner control device is configured to:

[0047] According to the ambient temperature change data, a temperature adjustment rate corresponding to the relevant area is calculated;

[0048] A temperature increase / decrease prompt is output and displayed, and the temperature increase / decrease prompt includes an adjustment time and a target temperature.

[0049] The present application embodiment can achieve the beneficial effects of:

[0050] By calculating the first control strategy of the area according to the relationship between the reference temperature and the preset temperature and the relevant area, the air conditioner remote control device corrects the first control strategy according to the discrete trend to obtain the second control strategy, and the air conditioner control device remotely controls and manages the intelligent air conditioner according to the second control strategy, so as to realize fine management of the area, and further realize the adjustment and control of the area where the crowd and equipment are concentrated when the air conditioner is turned on and operated, and low-power operation or shutdown of the area where the personnel or equipment are less, thereby reducing unnecessary power consumption of the adjustment equipment and saving energy. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0052] Figure 1 is a schematic diagram of the air conditioner remote intelligent control management system provided by the present application embodiment;

[0053] Figure 2 is a control method flowchart provided by the present application embodiment;

[0054] Figure 3 is a schematic diagram of the air conditioner remote intelligent control management system provided by the present application embodiment. DETAILED DESCRIPTION

[0055] In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0056] Reference Figure 1As shown, an air conditioner remote intelligent control management system is provided, the system comprising a plurality of air conditioners, a plurality of air conditioner control devices and an air conditioner remote control device, wherein:

[0057] The air conditioner remote control device is configured to acquire description information of all the smart air conditioners to be controlled, and classify all the air conditioners based on the description information; wherein the description information comprises: the location of the smart air conditioner and the associated area of the smart air conditioner with other smart air conditioners;

[0058] The air conditioner remote control device is configured to acquire real-time temperature information of the location, and based on the associated area of the smart air conditioner with other smart air conditioners, divide the to-be-controlled area into a plurality of relevant areas, and the relevant areas comprise a plurality of smart air conditioners;

[0059] The air conditioner remote control device is configured to calculate the reference temperature of the relevant area, and acquire the discrete trend of the plurality of relevant areas;

[0060] The air conditioner remote control device is configured to calculate the first control strategy of the area according to the relationship between the reference temperature and the preset temperature, and the associated area;

[0061] The air conditioner remote control device is configured to correct the first control strategy according to the discrete trend, and acquire the second control strategy;

[0062] The air conditioner control device is configured to remotely control and manage the smart air conditioner according to the second control strategy.

[0063] Optionally, the air conditioner remote control device is configured to:

[0064] Acquire a plurality of temperature sensor information in the to-be-controlled area;

[0065] Calculate the effective temperature regulation area of the air conditioner according to the plurality of temperature sensor information;

[0066] Wherein, the process can be specifically as follows:

[0067] If the plurality of temperature sensor information has a spatial positive correlation relationship, it means that the plurality of temperature sensor information with the same attribute feature tends to be clustered in space, i.e. for two temperature sensors, if one collects a change in temperature, the other must have the same trend, then the temperature sensor information has a spatial positive correlation relationship;

[0068] According to the equipment information of the temperature sensor, the effective working area thereof is acquired;

[0069] For a single air conditioner, if a plurality of temperature sensors related to it in space collect a change in temperature during temperature regulation, the sum of the effective working areas of the plurality of temperature sensors, i.e. the effective temperature regulation area of the air conditioner.

[0070] According to the effective temperature regulation area, the associated area of the intelligent air conditioner and other intelligent air conditioners is calculated; the process can be as follows:

[0071] The total space area of the location where the intelligent air conditioner and other intelligent air conditioners are located is obtained.

[0072] The absolute value of the difference between the effective temperature regulation area and the total space area is the associated area of the intelligent air conditioner and other intelligent air conditioners.

[0073] According to the location of the intelligent air conditioner and the associated area of the intelligent air conditioner and other intelligent air conditioners, the description information is obtained; the process can be as follows:

[0074] The associated area of the intelligent air conditioner and other intelligent air conditioners is set as a space correlation coefficient; that is, the space correlation coefficient is the ratio between the associated area and the total space area of the location where the intelligent air conditioner and other intelligent air conditioners are located.

[0075] The space correlation analysis result is determined according to the space correlation coefficient. The space correlation coefficient can include but is not limited to Pearson correlation coefficient, Moran index and other space correlation coefficients.

[0076] The description information at least includes the space correlation coefficient and the location of the intelligent air conditioner.

[0077] Optionally, the air conditioner remote control device is used for:

[0078] According to the building attribute of the location, the functional attribute of the location is obtained.

[0079] Specifically, the functional attribute includes office function, residential function, special storage function (such as storage of goods with high temperature requirements) and factory function.

[0080] According to the location and the associated area, the functional attribute is combined to classify all air conditioners.

[0081] That is, for the same functional attribute, in the location with an associated value greater than a preset value, and the associated area is greater than a preset area value, the air conditioners are classified into the same class.

[0082] Optionally, the air conditioner remote control device is used for:

[0083] Obtain the environmental temperature change data of the location, including the temperature change data caused by ventilation conditions and lighting conditions when there is no air conditioner to control the temperature.

[0084] The above data can be set in real time by temperature sensor data, and the specific setting method is not limited by the embodiments of the present application.

[0085] acquire spatial correlation data between the location and other locations; the correlation data is a spatial correlation coefficient corresponding to the temperature sensor.

[0086] acquire an effective working area of the temperature sensor according to device information of the temperature sensor;

[0087] acquire a total area of a space where the temperature sensor is located,

[0088] the spatial correlation coefficient is an absolute value between the effective working area and the total area, and a ratio between the effective working area and the total area;

[0089] divide the to-be-controlled region into multiple correlation regions according to the correlation area and temperature change data.

[0090] Optionally, the air conditioner remote control device is configured to:

[0091] calculate temperature preference data in the correlation region, the temperature preference data including temperature change data after a human adjustment event;

[0092] acquire an average temperature corresponding to a time according to the temperature preference data;

[0093] calculate a reference temperature according to the environmental temperature change data and the average temperature;

[0094] acquire reference temperatures of multiple regions, and calculate a dispersion trend of the multiple correlation regions.

[0095] Optionally, the air conditioner remote control device is configured to:

[0096] calculate a temperature adjustment rate corresponding to the correlation region according to the environmental temperature change data;

[0097] when a difference between a current temperature and the reference temperature is greater than a preset value, calculate a corresponding temperature increasing / decreasing strategy according to the temperature adjustment rate.

[0098] Optionally, the air conditioner remote control device is configured to:

[0099] acquire a human adjustment event in a preset time period and temperature change data after the human adjustment event in the correlation region;

[0100] correct the reference temperature according to the human adjustment event and the temperature change data;

[0101] calculate a temperature adjustment rate corresponding to the correlation region according to the environmental temperature change data;

[0102] when a difference between a current temperature and the reference temperature is greater than a preset value, calculate a corresponding temperature increasing / decreasing strategy according to the temperature adjustment rate.

[0103] Optionally, the air conditioner remote control device is configured to:

[0104] obtaining discrete trends corresponding to different time periods;

[0105] correcting the first control strategy according to the discrete trends corresponding to different time periods to obtain a second control strategy.

[0106] Optionally, the air conditioner remote control device is configured to:

[0107] obtaining temperature change data corresponding to different time periods;

[0108] calculating discrete trend data corresponding to the temperature change data;

[0109] correcting the first control strategy according to the discrete trend and the discrete trend data corresponding to the temperature change data to obtain a second control strategy.

[0110] Optionally, the air conditioner control device is configured to:

[0111] calculating a temperature adjustment rate corresponding to the relevant area according to the environmental temperature change data;

[0112] outputting and displaying a temperature adjustment prompt, the temperature adjustment prompt including an adjustment time and a target temperature.

[0113] Referring to Figure 2 A control method is also provided, comprising:

[0114] obtaining description information of all smart air conditioners to be controlled, and classifying all the air conditioners based on the description information; wherein the description information includes the location of the smart air conditioner and the associated area of the smart air conditioner with other smart air conditioners;

[0115] 101, obtaining temperature information of the location in real time, and dividing the to-be-controlled area into multiple relevant areas based on the associated area of the smart air conditioner with other smart air conditioners, the relevant areas including multiple smart air conditioners;

[0116] 102, calculating a reference temperature of the relevant area, and obtaining discrete trends of multiple relevant areas;

[0117] 103, calculating a first control strategy of the area according to the relationship between the reference temperature and a preset temperature, and the associated area;

[0118] 104, correcting the first control strategy according to the discrete trends to obtain a second control strategy;

[0119] 105, remotely controlling and managing the smart air conditioner according to the second control strategy.

[0120] Optionally, the method further comprises:

[0121] Obtain information from multiple temperature sensors within the area to be controlled;

[0122] Calculate the effective temperature regulation area of ​​the air conditioner based on information from multiple temperature sensors;

[0123] Calculate the associated area between the smart air conditioner and other smart air conditioners based on the effective temperature regulation area;

[0124] Obtain description information based on the location of the smart air conditioner and the associated areas of the smart air conditioner and other smart air conditioners.

[0125] Optionally, the method further includes:

[0126] According to the building attributes of the location, obtain the functional attributes of the location;

[0127] All air conditioners are classified according to their location and associated area, combined with their functional attributes.

[0128] Optionally, the method further includes:

[0129] Obtain the ambient temperature change data at the location. The ambient temperature includes the temperature change data caused by ventilation conditions and lighting conditions when there is no air conditioning for temperature control;

[0130] Obtain spatial correlation data between the current location and other locations;

[0131] Calculate the associated area based on spatial association data;

[0132] The area to be controlled is divided into multiple related areas according to the associated area and temperature change data.

[0133] Optionally, the method further includes:

[0134] Calculating temperature preference data within the relevant area, the temperature preference data including temperature change data after an artificial adjustment event;

[0135] According to the temperature preference data, obtain the average temperature corresponding to the time;

[0136] Calculate the reference temperature based on the ambient temperature change data and the average temperature;

[0137] Obtain the baseline temperature for multiple regions and calculate the discrete trends for multiple related regions.

[0138] Optionally, the method further includes:

[0139] Calculate the temperature adjustment rate corresponding to the relevant area based on the ambient temperature change data;

[0140] When the difference between the current temperature and the reference temperature is greater than the preset value, a corresponding temperature raising / cooling strategy is calculated according to the temperature adjustment rate.

[0141] Optionally, the method further comprises:

[0142] Obtaining human adjustment events of the relevant area within a preset time period, and temperature change data after the human adjustment events;

[0143] Correcting the reference temperature according to the human adjustment events and the temperature change data;

[0144] Calculating a temperature adjustment rate corresponding to the relevant area according to the environmental temperature change data;

[0145] When the difference between the current temperature and the reference temperature is greater than the preset value, a corresponding temperature raising / cooling strategy is calculated according to the temperature adjustment rate.

[0146] Optionally, the method further comprises:

[0147] Obtaining discrete trends corresponding to different time periods;

[0148] According to the discrete trends corresponding to different time periods, the first control strategy is corrected according to time periods to obtain a second control strategy.

[0149] Optionally, the method further comprises:

[0150] Obtaining temperature change data corresponding to different time periods;

[0151] Calculating discrete trend data corresponding to the temperature change data;

[0152] According to the discrete trend and the discrete trend data corresponding to the temperature change data, the first control strategy is corrected to obtain a second control strategy.

[0153] Optionally, the method further comprises:

[0154] Calculating a temperature adjustment rate corresponding to the relevant area according to the environmental temperature change data;

[0155] Outputting and displaying a temperature raising / cooling prompt, the temperature raising / cooling prompt including a temperature adjustment time and a target temperature.

[0156] Further, the system can also be:

[0157] The plurality of air conditioner remote control devices and the plurality of temperature sensors are distributed in different areas, and for a single area, at least include an air conditioner, a temperature sensor and an air conditioner control device.

[0158] The air conditioner remote control device acquires activity data in the temperature abnormal area; the temperature abnormal area has a temperature sensor, that is, the data collected by the temperature sensor is greater than a preset value.

[0159] The air conditioner remote control device predicts the temperature value of the temperature abnormal area in a preset time according to the space correlation coefficient and the temperature data of the temperature abnormal area.

[0160] The air conditioner remote control device corrects the first control strategy according to the temperature value and the time period, and acquires a second control strategy.

[0161] The air conditioner remote control device monitors the temperature data and the activity data of the temperature abnormal area.

[0162] Optionally, the activity data includes activity data corresponding to the personnel to be temperature adjusted and the equipment to be temperature adjusted corresponding to the functional attribute; acquiring the activity data in the temperature abnormal area includes:

[0163] According to the position of the personnel, the number of personnel to be temperature adjusted (that is, the working personnel) and the first temperature demand in the temperature abnormal area are acquired.

[0164] According to the position and the running parameter of the equipment to be temperature adjusted, the number of active equipment in the temperature abnormal area and the second temperature demand are acquired.

[0165] According to the first temperature demand and / or the second temperature demand (the personnel to be temperature adjusted and the equipment to be temperature adjusted are in the same position, and the relationship is "and", or the personnel to be temperature adjusted or the equipment to be temperature adjusted is in different positions, and the relationship is "or")

[0166] Optionally, according to the space correlation coefficient and the temperature data of the temperature abnormal area, the temperature value of the temperature abnormal area in a preset time is predicted.

[0167] According to the temperature data of the abnormal area, the temperature value of the area with the space correlation coefficient being a preset value in a preset time is predicted.

[0168] The temperature value of the area with the space correlation coefficient being a preset value in a preset time and the temperature data of the temperature abnormal area are predicted.

[0169] The present application achieves the following beneficial effects:

[0170] The first control strategy of the area is calculated according to the relationship between the reference temperature and the preset temperature and the correlation area; the air conditioner remote control device corrects the first control strategy according to the discrete trend to obtain the second control strategy; and the air conditioner control device remotely controls and manages the intelligent air conditioner according to the second control strategy, so that the area is finely managed, and the area with crowd gathering and equipment gathering is controlled to be started and run in the process of starting and running of the air conditioner, the area with less people or less equipment is controlled to be run at low power or be turned off, unnecessary power consumption of the adjusting equipment is reduced, and energy is saved.

[0171] The area with crowd gathering and equipment gathering is controlled to be started and run, the area with less people or less equipment is controlled to be run at low power or be turned off, unnecessary power consumption of the adjusting equipment is reduced, and energy is saved.

[0172] Those skilled in the art can understand that all or part of the steps of the above-mentioned embodiments can be completed by hardware, or a program can be used to instruct related hardware to complete the steps, and the program can be stored in a computer readable storage medium. The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk.

[0173] The above is only a preferred embodiment of the present application, and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A remote intelligent control management system for air conditioners, characterized by, The system comprises a plurality of air conditioners, a plurality of air conditioner control devices and an air conditioner remote control device, wherein: The air conditioner remote control device is configured to obtain description information of all the smart air conditioners to be controlled, and classify all the air conditioners based on the description information; wherein the description information comprises a location of the smart air conditioner and an associated area of the smart air conditioner with other smart air conditioners; The air conditioner remote control device is configured to obtain temperature information of the location in real time, and divide a to-be-controlled area into a plurality of relevant areas based on the associated area of the smart air conditioner with other smart air conditioners, wherein the relevant areas comprise a plurality of smart air conditioners; The air conditioner remote control device is configured to calculate a reference temperature of the relevant areas, and obtain a dispersion trend of the plurality of relevant areas; The air conditioner remote control device is configured to calculate a first control strategy of the area according to a relationship between the reference temperature and a preset temperature, and the associated area; The air conditioner remote control device is configured to correct the first control strategy according to the dispersion trend to obtain a second control strategy; The air conditioner control device is configured to remotely control and manage the smart air conditioner according to the second control strategy; The air conditioner remote control device is configured to: obtain a plurality of temperature sensor information in the to-be-controlled area; calculate an effective temperature regulation area of the air conditioner according to the plurality of temperature sensor information; calculate the associated area of the smart air conditioner with other smart air conditioners according to the effective temperature regulation area; obtain the description information according to the location of the smart air conditioner and the associated area of the smart air conditioner with other smart air conditioners; The air conditioner remote control device is configured to: obtain environmental temperature change data of the location, wherein the environmental temperature comprises temperature change data caused by ventilation conditions and illumination conditions when there is no air conditioner to control the temperature; obtain spatial association data between the location and other locations; calculate the associated area according to the spatial association data; divide the to-be-controlled area into a plurality of relevant areas according to the associated area and the temperature change data.

2. The remote intelligent control management system for an air conditioner according to claim 1, wherein The air conditioner remote control device is configured to: obtain a functional attribute of the location according to a building attribute of the location; classify all the air conditioners according to the location, the associated area and the functional attribute.

3. The remote intelligent control management system for an air conditioner according to claim 2, wherein The air conditioner remote control device is configured to: calculate temperature preference data in the relevant areas, wherein the temperature preference data comprises temperature change data after a human regulation event; obtain an average temperature corresponding to a time according to the temperature preference data; calculate the reference temperature according to the environmental temperature change data and the average temperature; obtain the reference temperature of a plurality of areas, and calculate a dispersion trend of a plurality of relevant areas.

4. The remote intelligent control management system for an air conditioner according to claim 3, wherein The air conditioner remote control device is configured to: calculate a temperature regulation rate corresponding to the relevant areas according to the environmental temperature change data; when a difference between a current temperature and the reference temperature is greater than a preset value, calculate a corresponding temperature rising / falling strategy according to the temperature regulation rate.

5. The remote intelligent control management system for an air conditioner according to claim 4, wherein The air conditioner remote control device is configured to: acquire human adjustment events of the related area in a preset time period, and temperature change data after the human adjustment events; correct the reference temperature according to the human adjustment events and the temperature change data; calculate a temperature adjustment rate corresponding to the related area according to the environmental temperature change data; when a difference between the current temperature and the reference temperature is greater than a preset value, calculate a corresponding temperature increasing / decreasing strategy according to the temperature adjustment rate.

6. The remote intelligent control management system for an air conditioner according to claim 5, wherein The air conditioner remote control device is used for: acquiring discrete trends corresponding to different time periods; correcting the first control strategy according to the discrete trends corresponding to the different time periods according to time periods, to acquire a second control strategy.

7. The remote intelligent control management system for an air conditioner according to claim 6, wherein The air conditioner remote control device is used for: acquiring temperature change data corresponding to different time periods; calculating discrete trend data corresponding to the temperature change data; correcting the first control strategy according to the discrete trend and the discrete trend data corresponding to the temperature change data, to acquire a second control strategy.

8. The remote intelligent control management system for an air conditioner according to claim 7, wherein The air conditioner control device is used for: calculating a temperature adjustment rate corresponding to the related area according to the environmental temperature change data; output and display a temperature increasing / decreasing prompt, the temperature increasing / decreasing prompt including an adjustment time and a target temperature.

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