Air conditioner control method linked with smart home system

Abstract

The present invention relates to the technical field of air conditioner control, and specifically discloses an air conditioner control method linked with a smart home system, comprising: analyzing the control preference user attributes of at least one user based on all smart home historical control instructions received by the smart home system within a preset historical period; analyzing the air conditioner control preference characteristics of each user for each smart air conditioner based on all air conditioner historical control instructions received by each smart air conditioner within a preset historical period; analyzing the automatic control standard of each user for each smart air conditioner based on the control preference attributes of each user and the air conditioner control preference characteristics of each user for each smart air conditioner; automatically controlling each smart air conditioner based on the real-time ambient temperature in the environment where each smart air conditioner is located and the automatic control standard of each user for each smart air conditioner to obtain an air conditioner automatic control result; and improving the automatic control accuracy of the air conditioner.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioner control, and in particular to an air conditioner control method linked with a smart home system. Background Art

[0002] At present, with the development of communication technology applied to the field of smart home, the control methods that can be used for smart air conditioners on the current market are very diverse, such as "gesture control" and "voice control". It can also connect to mobile devices via Bluetooth to achieve remote control and timed power on and off functions, thereby improving the convenience and comfort of user operation. Alternatively, the original remote control of the air conditioner can be integrated into the APP to achieve remote control of the APP, and at the same time, the free adjustment function of various parameters of the air conditioner can be added to the APP, so that users can make personalized settings according to their own needs. However, the user experience optimization or technical optimization of air conditioners in existing smart homes is mostly optimization of communication control, rather than realizing automatic control and improving its intelligence.

[0003] Although existing patents can automatically open and close smart homes, especially smart air conditioners, or perform other refined command controls based on the real-time usage environment data of air conditioners or other smart home devices through built-in software programs, their automatic control mechanisms are relatively single and fixed, and their intelligence level is not high enough, which means that their automatic control mechanisms may not be suitable for the usage habits of all users, that is, the user experience is still not good enough. For example, the invention patent with the publication number "WO2022160808A1" and the patent name "An air-conditioning linkage control method, control device and air conditioner" discloses an air-conditioning linkage control method, control device and air conditioner, which relates to the field of smart home technology, wherein the control method includes: monitoring and obtaining real-time indoor environmental parameters; linkage control of at least one of the indoor air conditioner, fresh air fan, humidifier and sweeping robot; and corresponding control of at least one of the air conditioner, fresh air fan, humidifier and sweeping robot according to the real-time indoor environmental parameters. The air-conditioning linkage control method, control device and air conditioner can be used in conjunction with multiple household appliances in the room to achieve multiple indoor air conditioning functions, thereby achieving comprehensive and intelligent management of indoor air, which is conducive to ensuring the comfort of indoor air and improving the user experience. However, the automatic control mechanism adopted by the patent is relatively single and fixed, and the degree of intelligence is not high enough, resulting in that its automatic control mechanism may not be suitable for the usage habits of all users, that is, the user experience is still not good enough.

[0004] Therefore, the present invention proposes an air conditioner control method linked with a smart home system. Summary of the invention

[0005] The present invention provides an air conditioner control method linked with a smart home system, which is used to infer user attributes representing each user's control habits for the smart home system by analyzing all smart home history control instructions received by the smart home system within a preset history period, and further, by analyzing all air conditioner history control instructions received by the smart air conditioner within a preset history period, it is possible to analyze preference characteristics representing each user's control habits for each smart air conditioner, and through the user's control preference user attributes and the air conditioner control preference characteristics of each smart air conditioner, a set of automatic control standards applicable to the user's control habits for each smart air conditioner is analyzed for each user, and each smart air conditioner is automatically controlled according to the automatic control standard, thereby improving the automatic control accuracy of the smart air conditioner. The present invention can analyze the automatic control standard for each user, that is, the automatic control mechanism adopted is not single and fixed, which greatly improves the intelligence level of the smart air conditioner in the smart home, and the automatic control mechanism adopted is also applicable to the usage habits of the corresponding user, that is, the user experience is improved.

[0006] The present invention provides an air conditioner control method linked with a smart home system, comprising:

[0007] S1: Analyzing the control preference user attributes of at least one user based on all smart home historical control instructions received by the smart home system within a preset historical period;

[0008] S2: Analyzing the air conditioner control preference characteristics of each user for each smart air conditioner based on all the air conditioner history control instructions received by each smart air conditioner within a preset history period;

[0009] S3: Analyze each user's automatic control standard for each smart air conditioner based on each user's control preference attribute and each user's air conditioner control preference characteristics for each smart air conditioner;

[0010] S4: Based on the real-time ambient temperature of the environment in which each intelligent air conditioner is located and the automatic control standard of each user for each intelligent air conditioner, each intelligent air conditioner is automatically controlled to obtain an automatic control result of the air conditioner.

[0011] Preferably, S1: based on all smart home history control instructions received by the smart home system within a preset history period, analyzing the control preference user attributes of at least one user, including:

[0012] S101: Determine the command source of each smart home historical control command received by the smart home system within a preset historical period;

[0013] S102: Analyzing the user to which each smart home historical control instruction belongs based on the instruction source of each smart home historical control instruction received by the smart home system within a preset historical period;

[0014] S103: Analyze the control preference user attributes of each user based on all smart home historical control instructions belonging to each user received by the smart home system within a preset historical period.

[0015] Preferably, S103: analyzing the control preference user attributes of each user based on all smart home history control instructions belonging to each user received by the smart home system within a preset history period, including:

[0016] Parsing each smart home history control instruction belonging to each user received by the smart home system within a preset history period, and obtaining the instruction semantics of each smart home history control instruction of each user at different instruction semantic levels;

[0017] Determine the time when each smart home historical control command of each user is issued;

[0018] Determine the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction of each user at each instruction semantic level;

[0019] Obtaining a standard control period of corresponding instruction semantics of a standard control preference user class at a corresponding instruction semantic level;

[0020] Based on the time when each smart home historical control instruction was issued, the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction at each instruction semantic level, and the standard control period of the corresponding instruction semantics at the corresponding instruction semantic level, the control preference user attributes of each user are determined.

[0021] Preferably, based on the command issuing time of each smart home historical control command, the standard control preference user class corresponding to the command semantics of each smart home historical control command at each command semantic level, and the standard control period of the corresponding command semantics at the corresponding command semantic level, the control preference user attribute of each user is determined, including:

[0022] Based on the time when each smart home historical control instruction was issued, the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction at each instruction semantic level, and the standard control period of the corresponding instruction semantics at the corresponding instruction semantic level, the preference value of the instruction semantics of each smart home historical control instruction at each instruction semantic level relative to the corresponding standard control preference user class is calculated;

[0023] Based on the instruction semantics of each smart home historical control instruction at each instruction semantic level relative to the preference value of the corresponding standard control preference user class, the control preference user attribute of each user is determined.

[0024] Preferably, S2: based on all historical air conditioner control instructions received by each intelligent air conditioner within a preset historical period, analyzing each user's air conditioner control preference characteristics for each intelligent air conditioner, including:

[0025] S201: Determine the command source of each air conditioner historical control command received by each intelligent air conditioner within a preset historical period;

[0026] S202: Analyzing the user to which each air conditioner historical control instruction belongs based on the instruction source of each air conditioner historical control instruction received by each intelligent air conditioner within a preset historical period;

[0027] S203: Analyze each user's air conditioner control preference characteristics for each smart air conditioner based on all air conditioner history control instructions belonging to each user received by each smart air conditioner within a preset history period.

[0028] Preferably, S203: based on all historical air conditioner control instructions belonging to each user received by each intelligent air conditioner within a preset historical period, analyzing each user's air conditioner control preference characteristics for each intelligent air conditioner, including:

[0029] Performing command parsing on each air conditioner historical control command belonging to each user received by all intelligent air conditioners within a preset historical period, and obtaining the command semantics of each air conditioner historical control command of each user at different command semantic levels;

[0030] Based on the command issuing time of all air conditioner historical control commands belonging to each user received by all intelligent air conditioners within the preset historical period, the preset historical period is divided into a plurality of sub-historical periods corresponding to each intelligent air conditioner;

[0031] Determine the command semantics of all air conditioner historical control commands belonging to each user received by each smart air conditioner in the corresponding single sub-historical period, and the command semantics with the largest number and a number not less than a preset threshold at the same command semantic level, as the control preference semantics of each user for the corresponding smart air conditioner at the corresponding sub-historical period and the corresponding command semantic level;

[0032] Based on each user's control preference semantics for the corresponding intelligent air conditioner at the corresponding sub-historical period and the corresponding instruction semantic level, the air conditioner control preference characteristics of each user for each intelligent air conditioner are analyzed.

[0033] Preferably, based on each user's control preference semantics for the corresponding intelligent air conditioner at the corresponding sub-historical period and the corresponding instruction semantic level, the air conditioner control preference characteristics of each user for each intelligent air conditioner are analyzed, including:

[0034] Determine the affiliation between the control preference semantics of each user to the corresponding intelligent air conditioner in each sub-historical period and at the adjacent command semantic level;

[0035] Based on the affiliation between the control preference semantics of the corresponding intelligent air conditioner of each user in each sub-historical period and at adjacent instruction semantic levels, the control preference semantics of the corresponding intelligent air conditioner of each user in each sub-historical period and at all instruction semantic levels are merged and offset to obtain at least one control preference underlying semantics of the corresponding intelligent air conditioner of each user in each sub-historical period;

[0036] Based on at least one underlying semantic of control preference of each user for the corresponding intelligent air conditioner in each sub-historical period, an air conditioner control preference feature of each user for each intelligent air conditioner is obtained.

[0037] Preferably, based on at least one control preference underlying semantics of each user in each sub-historical period, obtaining each user's air conditioner control preference characteristics for each intelligent air conditioner includes:

[0038] Among all the air conditioner history control instructions received by the intelligent air conditioner in a preset history period, all the air conditioner history control instructions corresponding to the instruction semantics at the lowest instruction semantic level are selected as the air conditioner history control instructions corresponding to the control preference bottom semantics of each user in a single sub-historical period as all the air conditioner reference control instructions corresponding to the control preference bottom semantics of the corresponding user in the corresponding sub-historical period;

[0039] Based on all the air conditioner reference control instructions of each user's underlying semantics of each control preference in each sub-historical period, the air conditioner control preference characteristics of each user for the corresponding intelligent air conditioner are analyzed.

[0040] Preferably, based on all air conditioner reference control instructions of each user's control preference underlying semantics in each sub-historical period, the air conditioner control preference characteristics of each user for the corresponding intelligent air conditioner are analyzed, including:

[0041] Determine the command issuance time of all air conditioner reference control commands of each control preference underlying semantics of each user in each sub-historical period as all environmental monitoring times of the corresponding intelligent air conditioner in the corresponding sub-historical period;

[0042] Determine the indoor ambient temperature of each intelligent air conditioner at all environmental monitoring moments in each sub-historical period;

[0043] Based on the underlying semantics of each control preference of each user in each sub-historical period and the corresponding indoor ambient temperature at all environmental monitoring moments, the underlying semantics of all control preferences of each user in each sub-historical period and the corresponding triggering ambient temperature are determined as the air conditioner control preference features of each user for the corresponding smart air conditioner.

[0044] Preferably, S3: based on the control preference attributes of each user and the air conditioner control preference characteristics of each user for each intelligent air conditioner, analyzing the automatic control standard of each user for each intelligent air conditioner, including:

[0045] Utilizing the standard control preference user class corresponding to the user's control preference attributes, as well as each user's air conditioner control preference characteristics for each smart air conditioner, each control preference underlying semantics of each user in each sub-historical period and the corresponding triggering ambient temperature, retrieve the preset standard control preference user class and the triggering ambient temperature-automatic control instruction list of the control preference underlying semantics, and obtain at least one automatic control instruction for each user for each smart air conditioner and the corresponding triggering ambient temperature condition as the automatic control standard for each user for each smart air conditioner.

[0046] Preferably, S4: automatically controlling each intelligent air conditioner based on the real-time ambient temperature in the environment where each intelligent air conditioner is located and the automatic control standard of each user for each intelligent air conditioner to obtain the automatic control result of the air conditioner, including:

[0047] When the real-time ambient temperature in the environment where each intelligent air conditioner is located meets the triggering ambient temperature condition in the automatic control standard of the corresponding intelligent air conditioner by any user, the corresponding intelligent air conditioner is controlled to execute the corresponding automatic control instruction to obtain the automatic control result of the air conditioner.

[0048] The beneficial effects of the present invention compared with the prior art are as follows: by analyzing all smart home historical control instructions received by the smart home system within a preset historical period, the user attributes representing the control habits of each user for the smart home system can be inferred, and further, by analyzing all air conditioner historical control instructions received by the smart air conditioner within a preset historical period, the preference characteristics representing the control habits of each user for each smart air conditioner can be analyzed, and a set of automatic control standards applicable to the control habits of the user for each smart air conditioner is analyzed for each user through the user's control preference user attributes and the air conditioner control preference characteristics of each smart air conditioner, and each smart air conditioner is automatically controlled according to the automatic control standard, thereby improving the automatic control accuracy of the smart air conditioner. The present invention can analyze the automatic control standard for each user, that is, the automatic control mechanism adopted is not single and fixed, which greatly improves the intelligence level of the smart air conditioner in the smart home, and the automatic control mechanism adopted is also applicable to the usage habits of the corresponding user, that is, the user experience is improved.

[0049] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0050] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0052] Figure 1 is a flow chart of an air conditioner control method linked with a smart home system in an embodiment of the present invention;

[0053] Figure 2 is a flowchart of a specific execution method of step S1 in an embodiment of the present invention;

[0054] Figure 3 4 is a flowchart of a specific execution method of step S2 in an embodiment of the present invention. DETAILED DESCRIPTION

[0055] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0056] Embodiment 1:

[0057] The present invention provides an air conditioner control method linked with a smart home system. Figure 1 ,include:

[0058] S1: Analyzing the control preference user attributes of at least one user based on all smart home historical control instructions received by the smart home system within a preset historical period;

[0059] S2: Analyzing the air conditioner control preference characteristics of each user for each smart air conditioner based on all the air conditioner history control instructions received by each smart air conditioner within a preset history period;

[0060] S3: Analyze each user's automatic control standard for each smart air conditioner based on each user's control preference attribute and each user's air conditioner control preference characteristics for each smart air conditioner;

[0061] S4: Based on the real-time ambient temperature of the environment in which each intelligent air conditioner is located and the automatic control standard of each user for each intelligent air conditioner, each intelligent air conditioner is automatically controlled to obtain an automatic control result of the air conditioner.

[0062] In this embodiment, the smart home system refers to a comprehensive system that connects various devices in the home (such as air conditioners, electric curtains, fresh air systems, indoor lights, etc.) through Internet technology, sensor technology, automation technology, etc., and realizes remote control, intelligent management and interactive communication.

[0063] In this embodiment, the preset historical period is a pre-selected historical period before the current moment, for example, a time period within 24 hours between the second nearest zero point to the current moment and the nearest zero point.

[0064] In this embodiment, the smart home historical control instructions are instructions input by users received by the smart home system through all control methods such as Bluetooth, APP, voice control, etc., for controlling smart home devices (such as air conditioners, electric curtains, fresh air systems, indoor lights, etc.).

[0065] In this embodiment, the control preference user attribute is a user attribute that reflects different users' habits of controlling smart homes, such as user age or user gender.

[0066] In this embodiment, the air conditioner historical control instructions are instructions input by the user received by the smart air conditioner through any control method such as a remote control, an APP, or voice, for controlling the corresponding smart air conditioner.

[0067] In this embodiment, the air conditioner control preference characteristics are control instruction preference characteristics that reflect the control habits of different users for the smart air conditioner, such as the time characteristics when a user issues the same control instruction to a smart air conditioner, or the time characteristics for setting a certain temperature range of the smart air conditioner, or the characteristics of setting the output temperature of the smart air conditioner within a certain period of time, etc.

[0068] In this embodiment, the automatic control standard includes at least one automatic control instruction and a triggering ambient temperature condition of the automatic control instruction.

[0069] In this embodiment, the real-time ambient temperature is the real-time temperature of the room where the intelligent air conditioner is located.

[0070] The beneficial effects of the above technology are as follows: by analyzing all smart home historical control instructions received by the smart home system within a preset historical period, the user attributes representing each user's control habits for the smart home system can be inferred, and further, by analyzing all air conditioner historical control instructions received by the smart air conditioner within a preset historical period, the preference characteristics representing each user's control habits for each smart air conditioner can be analyzed, and a set of automatic control standards applicable to the user's control habits for each smart air conditioner is analyzed for each user through the user's control preference user attributes and the air conditioner control preference characteristics of each smart air conditioner, and each smart air conditioner is automatically controlled according to this automatic control standard, thereby improving the automatic control accuracy of the smart air conditioner. The present invention can analyze the automatic control standard for each user, that is, the automatic control mechanism it adopts is not single and fixed, which greatly improves the intelligence level of the smart air conditioner in the smart home, and the automatic control mechanism adopted is also applicable to the usage habits of the corresponding user, that is, the user experience is improved.

[0071] Embodiment 2:

[0072] Based on Example 1, S1: Based on all smart home history control instructions received by the smart home system within a preset historical period, analyze the control preference user attributes of at least one user, refer to Figure 2 ,include:

[0073] S101: Determine the command source of each smart home historical control command received by the smart home system within a preset historical period;

[0074] S102: Analyzing the user to which each smart home historical control instruction belongs based on the instruction source of each smart home historical control instruction received by the smart home system within a preset historical period;

[0075] S103: Analyze the control preference user attributes of each user based on all smart home historical control instructions belonging to each user received by the smart home system within a preset historical period.

[0076] In this embodiment, the source of the instruction mainly refers to the APP device or Bluetooth terminal or voice signal that issues the corresponding smart home history control instruction.

[0077] In this embodiment, based on the instruction source of each smart home historical control instruction received by the smart home system within a preset historical period, the user to which each smart home historical control instruction belongs is analyzed, including:

[0078] Different APP devices (or Bluetooth terminals) to which the command source belongs are divided into different users. When the command source is not a voice signal, a pre-trained sound recognition model can be used to determine whether different voice signals belong to the same or different users;

[0079] When the same actual user has issued smart home historical control instructions to the smart home system through APP, Bluetooth, and voice control within a preset historical period, the APP device, Bluetooth terminal, and voice signal belonging to the actual user will be divided into different "users" to analyze their control habits.

[0080] The beneficial effect of the above technology is: by classifying the attribution of each smart home historical control instruction received by the smart home system within a preset historical period, all smart home historical control instructions attributable to each user received by the smart home system within the preset historical period are obtained, and then the user attributes representing the control habits of a single user of the smart home system are analyzed.

[0081] Embodiment 3:

[0082] On the basis of Example 2, S103: based on all smart home history control instructions belonging to each user received by the smart home system within a preset history period, the control preference user attributes of each user are analyzed, including:

[0083] Parsing each smart home history control instruction belonging to each user received by the smart home system within a preset history period, and obtaining the instruction semantics of each smart home history control instruction of each user at different instruction semantic levels;

[0084] Determine the time when each smart home historical control command of each user is issued;

[0085] Determine the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction of each user at each instruction semantic level;

[0086] Obtaining a standard control period of corresponding instruction semantics of a standard control preference user class at a corresponding instruction semantic level;

[0087] Based on the time when each smart home historical control instruction was issued, the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction at each instruction semantic level, and the standard control period of the corresponding instruction semantics at the corresponding instruction semantic level, the control preference user attributes of each user are determined.

[0088] In this embodiment, the instruction semantic level represents the degree of semantic ambiguity, and the instruction semantic levels from high to low represent the degree of semantic ambiguity from large to small. The lower the instruction semantic level, the more detailed the corresponding instruction semantic meaning, and the instruction semantic meaning of the high instruction semantic level includes the instruction semantic meaning of the low instruction semantic level.

[0089] For example, the instruction semantics of a smart home history control instruction at the lowest instruction semantic level is: set the output temperature of smart device A to 28 degrees;

[0090] Then the command semantics of the smart home history control command at multiple command semantic levels from high to low can be:

[0091] Control smart device A;

[0092] Set the output temperature of smart device A;

[0093] Set the output temperature of smart device A to 28 degrees.

[0094] In this embodiment, the instruction semantics is the instruction meaning of the smart home historical control instructions, and the content details of the instruction semantics at different levels are different.

[0095] In this embodiment, each smart home historical control instruction belonging to each user received by the smart home system within a preset historical period is parsed to obtain the instruction semantics of each smart home historical control instruction of each user at different instruction semantic levels. This step can be implemented using a preset instruction parsing model.

[0096] The preset command parsing model uses the command semantics of a large number of smart home historical control commands (or air conditioner historical control commands) at each preset command semantic level as training samples to train the obtained model;

[0097] Moreover, the preset instruction semantic levels can be divided according to the analysis accuracy. If the division of the instruction semantic levels is more refined, the user control preference user attributes (or air conditioner control preference characteristics) analyzed will be more accurate, and accordingly, the automatic control accuracy of the smart air conditioner will also be more accurate.

[0098] In this embodiment, the instruction issuance time is the time when the smart home history control instruction is issued.

[0099] In this embodiment, the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction of each user at each instruction semantic level is determined by retrieving a preset plurality of instruction semantics at different instruction semantic levels and corresponding standard control preference user classes;

[0100] The standard control preference user class corresponding to the instruction semantics at the single instruction semantic level here is: the standard control preference user class that is most capable of issuing smart home control instructions with the instruction semantics of the corresponding instruction semantics at the corresponding instruction semantic level.

[0101] In this embodiment, the standard control preference user class is a preset user attribute that can reflect the difference in user control preferences (for example, young and middle-aged people and the elderly have different control habits for the smart home system), for example, including:

[0102] Age is greater than 6 and not more than 12 years old, age is greater than 12 and not more than 18 years old, age is greater than 18 and not more than 35 years old, age is greater than 35 and not more than 45 years old, age is greater than 45 and not more than 65 years old, age is greater than 65 years old.

[0103] In this embodiment, the standard control period is a regular time period during which a single preset standard control preference user class issues a smart home control instruction with a single instruction semantics.

[0104] The beneficial effect of the above technology is: by analyzing the command semantics of each smart home historical control command belonging to each user received by the smart home system within a preset historical period at different command semantic levels, as well as the time when the command was issued, the control preference user attributes of each user can be accurately analyzed.

[0105] Embodiment 4:

[0106] On the basis of Example 3, based on the time when each smart home historical control instruction was issued, and the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction at each instruction semantic level, and the standard control period of the corresponding instruction semantics at the corresponding instruction semantic level, the control preference user attributes of each user are determined, including:

[0107] Based on the instruction issuing time T0 of each smart home historical control instruction, and the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction at each instruction semantic level, and the standard control period [T1, T2] of the corresponding instruction semantics at the corresponding instruction semantic level, the preference value of the instruction semantics of each smart home historical control instruction at each instruction semantic level relative to the corresponding standard control preference user class is calculated, including:

[0108] When T0 is less than T1, the quotient of the difference between T0 and T1 and T1 is taken as the preference value of the instruction semantics of the corresponding smart home historical control instruction at the corresponding instruction semantic level relative to the corresponding standard control preference user class;

[0109] When T0 belongs to [T1, T2], the instruction semantics of the corresponding smart home historical control instruction at the corresponding instruction semantic level relative to the preference value of the corresponding standard control preference user class is regarded as 1;

[0110] When T0 is greater than T2, the quotient of the difference between T0 and T2 and T2 is taken as the preference value of the instruction semantics of the corresponding smart home historical control instruction at the corresponding instruction semantic level relative to the corresponding standard control preference user class.

[0111] Based on the instruction semantics of each smart home historical control instruction at each instruction semantic level relative to the preference value of the corresponding standard control preference user class, the control preference user attributes of each user are determined, including:

[0112] The sum of the preference values ​​of all historical smart home control commands of each user at all command semantic levels relative to the same standard control preference user class is taken as the total preference value of each user relative to the corresponding standard control preference user class;

[0113] The standard control preference user class corresponding to the maximum total preference value of each user is regarded as the control preference user attribute of the corresponding user.

[0114] In this embodiment, the instruction semantics of each smart home historical control instruction at each instruction semantic level relative to the preference value of the corresponding standard control preference user class is:

[0115] The value is calculated based on the time when the smart home historical control instruction was issued and the standard control period of the corresponding standard control preference user class, indicating the degree to which the instruction semantics of the smart home historical control instruction at this instruction semantic level conforms to the control habits of the corresponding standard control preference user class.

[0116] In this embodiment, the total preference value of each user relative to the corresponding standard control preference user class is a value of the degree to which the control habits of each user conform to the control habits of the corresponding standard control preference user class.

[0117] The beneficial effects of the above technology are: based on the instruction issuance time of each smart home historical control instruction, and the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction at each instruction semantic level, and the standard control period of the corresponding instruction semantics at the corresponding instruction semantic level, the degree to which the instruction semantics of each smart home historical control instruction at each instruction semantic level conforms to the control habits of the corresponding standard control preference user class is accurately quantified, and by synthesizing the preference values ​​of the instruction semantics of each smart home historical control instruction at each instruction semantic level relative to the corresponding standard control preference user class, the degree to which the control habits of each user conform to the control habits of the corresponding standard control preference user class is accurately quantified, and based on this quantification result (i.e., the total preference value of each user relative to the corresponding standard control preference user class), the user's control preference user attributes are accurately determined.

[0118] Embodiment 5:

[0119] On the basis of Example 1, S2: based on all historical control instructions of each intelligent air conditioner received within a preset historical period, analyzing the air conditioner control preference characteristics of each user for each intelligent air conditioner, referring to Figure 3 ,include:

[0120] S201: Determine the command source of each air conditioner historical control command received by each intelligent air conditioner within a preset historical period;

[0121] S202: Analyzing the user to which each air conditioner historical control instruction belongs based on the instruction source of each air conditioner historical control instruction received by each intelligent air conditioner within a preset historical period;

[0122] S203: Analyze each user's air conditioner control preference characteristics for each smart air conditioner based on all air conditioner history control instructions belonging to each user received by each smart air conditioner within a preset history period.

[0123] In this embodiment, the source of the instruction mainly refers to the APP device or Bluetooth terminal or voice signal that issues the corresponding air conditioner history control instruction.

[0124] In this embodiment, based on the instruction source of each air conditioner historical control instruction received by each intelligent air conditioner within a preset historical period, the user to which each air conditioner historical control instruction belongs is analyzed, including:

[0125] Different APP devices (or Bluetooth terminals) to which the command source belongs are divided into different users. When the command source is not a voice signal, a pre-trained sound recognition model can be used to determine whether different voice signals belong to the same or different users;

[0126] When the same actual user has issued historical control instructions to the smart air conditioner through APP, Bluetooth, and voice control within a preset historical period, the APP device, Bluetooth terminal, and voice signal belonging to the actual user will be divided into different "users" to analyze their control habits.

[0127] The beneficial effect of the above technology is: by classifying the attribution of each air conditioner historical control instruction received by the smart air conditioner within a preset historical period, all air conditioner historical control instructions received by the smart air conditioner within the preset historical period and belonging to each user are obtained, and then the control instruction preference characteristics representing the control habits of a single user for the smart air conditioner are analyzed.

[0128] Embodiment 6:

[0129] On the basis of Example 5, S203: based on all historical air conditioner control instructions belonging to each user received by each intelligent air conditioner within a preset historical period, analyzing each user's air conditioner control preference characteristics for each intelligent air conditioner, including:

[0130] Performing command parsing on each air conditioner historical control command belonging to each user received by all intelligent air conditioners within a preset historical period, and obtaining the command semantics of each air conditioner historical control command of each user at different command semantic levels;

[0131] Based on the command issuing time of all air conditioner historical control commands belonging to each user received by all intelligent air conditioners within the preset historical period, the preset historical period is divided into a plurality of sub-historical periods corresponding to each intelligent air conditioner;

[0132] Determine the command semantics of all air conditioner historical control commands belonging to each user received by each smart air conditioner in the corresponding single sub-historical period, and the command semantics with the largest number and a number not less than a preset threshold at the same command semantic level, as the control preference semantics of each user for the corresponding smart air conditioner at the corresponding sub-historical period and the corresponding command semantic level;

[0133] Based on each user's control preference semantics for the corresponding intelligent air conditioner at the corresponding sub-historical period and the corresponding instruction semantic level, the air conditioner control preference characteristics of each user for each intelligent air conditioner are analyzed.

[0134] In this embodiment, each air conditioner historical control instruction belonging to each user received by all intelligent air conditioners within a preset historical period is parsed to obtain the instruction semantics of each air conditioner historical control instruction of each user at different instruction semantic levels. This step can be implemented using a preset instruction parsing model.

[0135] The preset command parsing model uses the command semantics of a large number of smart home historical control commands (or air conditioner historical control commands) at each preset command semantic level as training samples to train the obtained model;

[0136] Moreover, the preset instruction semantic levels can be divided according to the analysis accuracy. If the division of the instruction semantic levels is more refined, the user control preference user attributes (or air conditioner control preference characteristics) analyzed will be more accurate, and accordingly, the automatic control accuracy of the smart air conditioner will also be more accurate.

[0137] In this embodiment, based on the instruction issuance time of all air conditioner historical control instructions belonging to each user received by all intelligent air conditioners within the preset historical period, the preset historical period is divided into a plurality of sub-historical periods corresponding to each intelligent air conditioner, including:

[0138] Divide the command issuance time of all historical control commands of the air conditioner belonging to each user received by each intelligent air conditioner within a preset historical period into a plurality of relatively concentrated time sets, and this step is implemented by manual calibration or other methods in the prior art;

[0139] The average of the two instruction issuing times with the smallest time interval in each set of adjacent time points of each intelligent air conditioner within the preset historical period is used as the period division position between the corresponding adjacent time points;

[0140] Based on the period division position between all adjacent time sets of each intelligent air conditioner within the preset historical period, the preset historical period is divided into a plurality of sub-historical periods corresponding to the corresponding intelligent air conditioners.

[0141] In this embodiment, the sub-historical period is obtained by dividing the preset historical period, and different users have different sub-historical period division results.

[0142] In this embodiment, the preset threshold is a threshold value preset for determining the control preference semantics based on the number of instruction semantics of all air conditioner historical control instructions belonging to each user received by each smart air conditioner within a corresponding single sub-historical period at the same instruction semantic level.

[0143] The beneficial effects of the above technology are: by parsing the historical control instructions of each air conditioner belonging to each user received by all smart air conditioners within a preset historical period, and dividing all the air conditioner control instructions of each smart air conditioner into periods, and using the period division results to perform smaller period analysis at the same instruction semantic level on all the historical control instructions of the air conditioner belonging to each user received by each smart air conditioner within the corresponding single sub-historical period, thereby accurately analyzing the air conditioner control preference characteristics of each user for each smart air conditioner.

[0144] Embodiment 7:

[0145] On the basis of Example 6, based on each user's control preference semantics for the corresponding intelligent air conditioner at the corresponding sub-historical period and the corresponding instruction semantic level, the air conditioner control preference characteristics of each user for each intelligent air conditioner are analyzed, including:

[0146] Determine the affiliation between the control preference semantics of each user to the corresponding intelligent air conditioner in each sub-historical period and at the adjacent command semantic level;

[0147] Based on the affiliation between the control preference semantics of the corresponding intelligent air conditioner of each user in each sub-historical period and at adjacent instruction semantic levels, the control preference semantics of the corresponding intelligent air conditioner of each user in each sub-historical period and at all instruction semantic levels are merged and offset to obtain at least one control preference underlying semantics of the corresponding intelligent air conditioner of each user in each sub-historical period;

[0148] Based on at least one underlying semantic of control preference of each user for the corresponding intelligent air conditioner in each sub-historical period, an air conditioner control preference feature of each user for each intelligent air conditioner is obtained.

[0149] In this embodiment, the affiliation between the control preference semantics of each user for the corresponding intelligent air conditioner in each sub-historical period and at adjacent instruction semantic levels is determined. This step can be determined by searching in a preset database containing a large number of instruction semantic groups marked with affiliations.

[0150] In this embodiment, based on the affiliation between the control preference semantics of each user for the corresponding intelligent air conditioner at adjacent instruction semantic levels in each sub-historical period, the control preference semantics of each user for the corresponding intelligent air conditioner at all instruction semantic levels in each sub-historical period are merged and offset to obtain at least one control preference underlying semantic of each user for the corresponding intelligent air conditioner in each sub-historical period, which is:

[0151] Among two control preference semantics at adjacent instruction semantic levels with a subordinate relationship, the control preference semantics at the lower instruction semantic level is retained, while the other control preference semantics is eliminated, so as to realize the merging and offsetting of the two;

[0152] All the determined affiliations are used to perform corresponding merging and offsetting (the number of merging and offsetting is the same as the total number of affiliations), and at least one underlying semantics of control preference of each user for the corresponding intelligent air conditioner in each sub-historical period is obtained.

[0153] In this embodiment, the underlying semantics of the control preference is a command semantics at the bottom command semantic level that is retained after merging and offsetting the control preference semantics of the corresponding smart air conditioner for each user at all command semantic levels in each sub-historical period.

[0154] In this embodiment, the adjacent instruction semantic levels are instruction semantic levels with adjacent sorting positions in a sequence of preset multiple semantic levels sorted from large to small according to the degree of semantic fuzziness.

[0155] The beneficial effect of the above technology is: by merging and offsetting the control preference semantics of each user for the corresponding smart air conditioner at all instruction semantic levels in each sub-historical period, at least one underlying semantic of the control preference of each user for the corresponding smart air conditioner in each sub-historical period is obtained, and then the air conditioner control preference characteristics of each user for each smart air conditioner are analyzed.

[0156] Embodiment 8:

[0157] On the basis of Example 7, based on at least one control preference underlying semantics of each user in each sub-historical period, the air conditioner control preference characteristics of each user for each intelligent air conditioner are obtained, including:

[0158] Among all the air conditioner history control instructions received by the intelligent air conditioner in a preset history period, all the air conditioner history control instructions corresponding to the instruction semantics at the lowest instruction semantic level are selected as the air conditioner history control instructions corresponding to the control preference bottom semantics of each user in a single sub-historical period as all the air conditioner reference control instructions corresponding to the control preference bottom semantics of the corresponding user in the corresponding sub-historical period;

[0159] Based on all the air conditioner reference control instructions of each user's underlying semantics of each control preference in each sub-historical period, the air conditioner control preference characteristics of each user for the corresponding intelligent air conditioner are analyzed.

[0160] In this embodiment, the lowest instruction semantic level is the last instruction semantic level in a sequence of the preset multiple semantic levels sorted from large to small according to the degree of semantic fuzziness.

[0161] The beneficial effects of the above technology are: based on at least one underlying semantics of control preference of each user in each sub-historical period, all historical control instructions of the air conditioner received by the smart air conditioner within a preset historical period are screened, and all air conditioner reference control instructions of the user's corresponding control preference underlying semantics in the corresponding sub-historical period are obtained, providing a basis for subsequent analysis of each user's air conditioner control preference characteristics for each smart air conditioner.

[0162] Embodiment 9:

[0163] On the basis of Example 8, based on all air conditioner reference control instructions of each user in each sub-historical period for each control preference underlying semantics, the air conditioner control preference characteristics of each user for the corresponding intelligent air conditioner are analyzed, including:

[0164] Determine the command issuance time of all air conditioner reference control commands of each control preference underlying semantics of each user in each sub-historical period as all environmental monitoring times of the corresponding intelligent air conditioner in the corresponding sub-historical period;

[0165] Determine the indoor ambient temperature of each intelligent air conditioner at all environmental monitoring moments in each sub-historical period;

[0166] Based on the underlying semantics of each control preference of each user in each sub-historical period and the corresponding indoor ambient temperature at all environmental monitoring moments, the underlying semantics of all control preferences of each user in each sub-historical period and the corresponding triggering ambient temperature are determined as the air conditioner control preference features of each user for the corresponding smart air conditioner.

[0167] In this embodiment, the indoor ambient temperature is the ambient temperature of the room where the intelligent air conditioner is located.

[0168] In this embodiment, based on each control preference underlying semantics of each user in each sub-historical period and the corresponding indoor environmental temperature at all environmental monitoring moments, all control preference underlying semantics of each user in each sub-historical period and the corresponding triggering environmental temperature are determined, including:

[0169] The average value of the indoor ambient temperature at all corresponding environmental monitoring moments is regarded as the trigger ambient temperature corresponding to the underlying semantics of all control preferences of the corresponding user in each sub-historical period.

[0170] In this embodiment, the triggering ambient temperature corresponding to the underlying semantics of the control preference is the indoor ambient temperature value shown by the user's control habits for the smart air conditioner, which can cause the user to issue an air conditioner control instruction corresponding to the underlying semantics of the control preference. For example: when the indoor ambient temperature reaches 28 degrees, it will cause the user to issue an air conditioner control instruction to start the smart air conditioner and set its output temperature to 25 degrees.

[0171] The beneficial effect of the above technology is: by analyzing the ambient temperature values ​​at the time of issuing the instructions of all air conditioner reference control instructions of each control preference underlying semantics of each user in each sub-historical period, the triggering ambient temperature of all control preference underlying semantics of each user in each sub-historical period is obtained, and then the accurate air conditioner control preference characteristics of each user for the corresponding smart air conditioner are obtained.

[0172] Embodiment 10:

[0173] On the basis of Example 1, S3: based on the control preference attributes of each user and the air conditioner control preference characteristics of each user for each intelligent air conditioner, analyzing the automatic control standard of each user for each intelligent air conditioner, including:

[0174] Utilizing the standard control preference user class corresponding to the user's control preference attributes, as well as each user's air conditioner control preference characteristics for each smart air conditioner, each control preference underlying semantics of each user in each sub-historical period and the corresponding triggering ambient temperature, retrieve the preset standard control preference user class and the triggering ambient temperature-automatic control instruction list of the control preference underlying semantics, and obtain at least one automatic control instruction for each user for each smart air conditioner and the corresponding triggering ambient temperature condition as the automatic control standard for each user for each smart air conditioner.

[0175] In this embodiment, the preset standard control preference user class and the triggering ambient temperature-automatic control instruction list of the control preference underlying semantics are:

[0176] A preset list of correspondences between different standard control preference user classes, triggering ambient temperatures of different control preference underlying semantics, and corresponding automatic control instructions.

[0177] In this embodiment, the automatic control instruction is a control instruction issued when the intelligent air conditioner is automatically controlled.

[0178] In this embodiment, the triggering ambient temperature condition corresponding to the automatic control instruction is an indoor ambient temperature condition that can trigger the issuance of the automatic control instruction to the intelligent air conditioner.

[0179] The beneficial effects of the above technology are: utilizing the standard control preference user class corresponding to the user's control preference attributes, and the air conditioner control preference characteristics of each user for each smart air conditioner, the underlying semantics of each control preference of each user in each sub-historical period and the corresponding triggering ambient temperature, to achieve accurate determination of the automatic control standard of each user for each smart air conditioner.

[0180] Embodiment 11:

[0181] On the basis of Example 1, S4: based on the real-time ambient temperature of the environment in which each intelligent air conditioner is located and the automatic control standard of each user for each intelligent air conditioner, each intelligent air conditioner is automatically controlled to obtain the automatic control result of the air conditioner, including:

[0182] When the real-time ambient temperature in the environment where each smart air conditioner is located (i.e. the indoor environment where the smart air conditioner is located) meets the triggering ambient temperature condition in the automatic control standard of the corresponding smart air conditioner by any user, the corresponding smart air conditioner is controlled to execute the corresponding automatic control instruction to obtain the air conditioner automatic control result.

[0183] In this embodiment, for example, the automatic control instruction is to start the intelligent air conditioner and set the output temperature of the intelligent air conditioner to 25 degrees;

[0184] When the triggering ambient temperature condition of the automatic control instruction is that the room temperature is not less than 28 degrees;

[0185] When the real-time ambient temperature of the environment where the intelligent air conditioner is located reaches 28 degrees, the intelligent air conditioner is controlled to execute the automatic control instruction, that is, the intelligent air conditioner is started and the output temperature of the intelligent air conditioner is set to 25 degrees.

[0186] The beneficial effect of the above technology is: based on the automatic control standard of each intelligent air conditioner for the user, automatic control of different intelligent air conditioners is achieved to meet the intelligent air conditioner control needs of different users.

[0187] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for controlling an air conditioner linked with a smart home system, characterized in that: include: S1: Analyzing the control preference user attributes of at least one user based on all smart home historical control instructions received by the smart home system within a preset historical period; S2: Analyzing the air conditioner control preference characteristics of each user for each smart air conditioner based on all the air conditioner history control instructions received by each smart air conditioner within a preset history period; S3: Analyze each user's automatic control standard for each smart air conditioner based on each user's control preference attribute and each user's air conditioner control preference characteristics for each smart air conditioner; S4: Based on the real-time ambient temperature of the environment in which each intelligent air conditioner is located and the automatic control standard of each user for each intelligent air conditioner, each intelligent air conditioner is automatically controlled to obtain an automatic control result of the air conditioner.

2. The air conditioner control method linked with the smart home system according to claim 1, characterized in that: S1: Analyze the control preference user attributes of at least one user based on all smart home history control instructions received by the smart home system within a preset history period, including: S101: Determine the command source of each smart home historical control command received by the smart home system within a preset historical period; S102: Analyzing the user to which each smart home historical control instruction belongs based on the instruction source of each smart home historical control instruction received by the smart home system within a preset historical period; S103: Analyze the control preference user attributes of each user based on all smart home historical control instructions belonging to each user received by the smart home system within a preset historical period.

3. The air conditioner control method linked with the smart home system according to claim 2, characterized in that: S103: Analyze the control preference user attributes of each user based on all smart home history control instructions attributed to each user received by the smart home system within a preset history period, including: Parsing each smart home history control instruction belonging to each user received by the smart home system within a preset history period, and obtaining the instruction semantics of each smart home history control instruction of each user at different instruction semantic levels; Determine the time when each smart home historical control command of each user is issued; Determine the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction of each user at each instruction semantic level; Obtaining a standard control period of corresponding instruction semantics of a standard control preference user class at a corresponding instruction semantic level; Based on the time when each smart home historical control instruction was issued, the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction at each instruction semantic level, and the standard control period of the corresponding instruction semantics at the corresponding instruction semantic level, the control preference user attributes of each user are determined.

4. The air conditioner control method linked with the smart home system according to claim 3, characterized in that: Based on the time when each smart home historical control command was issued, the standard control preference user class corresponding to the command semantics of each smart home historical control command at each command semantic level, and the standard control period of the corresponding command semantics at the corresponding command semantic level, the control preference user attributes of each user are determined, including: Based on the time when each smart home historical control instruction was issued, the standard control preference user class corresponding to the instruction semantics of each smart home historical control instruction at each instruction semantic level, and the standard control period of the corresponding instruction semantics at the corresponding instruction semantic level, the preference value of the instruction semantics of each smart home historical control instruction at each instruction semantic level relative to the corresponding standard control preference user class is calculated; Based on the instruction semantics of each smart home historical control instruction at each instruction semantic level relative to the preference value of the corresponding standard control preference user class, the control preference user attribute of each user is determined.

5. The air conditioner control method linked with the smart home system according to claim 1, characterized in that: S2: Based on all historical air conditioner control instructions received by each smart air conditioner within a preset historical period, the air conditioner control preference characteristics of each user for each smart air conditioner are analyzed, including: S201: Determine the command source of each air conditioner historical control command received by each intelligent air conditioner within a preset historical period; S202: Analyzing the user to which each air conditioner historical control instruction belongs based on the instruction source of each air conditioner historical control instruction received by each intelligent air conditioner within a preset historical period; S203: Analyze each user's air conditioner control preference characteristics for each smart air conditioner based on all air conditioner history control instructions belonging to each user received by each smart air conditioner within a preset history period.

6. The air conditioner control method linked with the smart home system according to claim 5, characterized in that: S203: Analyzing each user's air conditioner control preference characteristics for each smart air conditioner based on all air conditioner history control instructions belonging to each user received by each smart air conditioner within a preset history period, including: Performing command parsing on each air conditioner historical control command belonging to each user received by all intelligent air conditioners within a preset historical period, and obtaining the command semantics of each air conditioner historical control command of each user at different command semantic levels; Based on the command issuing time of all air conditioner historical control commands belonging to each user received by all intelligent air conditioners within the preset historical period, the preset historical period is divided into a plurality of sub-historical periods corresponding to each intelligent air conditioner; Determine the command semantics of all air conditioner historical control commands belonging to each user received by each smart air conditioner in the corresponding single sub-historical period, and the command semantics with the largest number and a number not less than a preset threshold at the same command semantic level, as the control preference semantics of each user for the corresponding smart air conditioner at the corresponding sub-historical period and the corresponding command semantic level; Based on each user's control preference semantics for the corresponding intelligent air conditioner at the corresponding sub-historical period and the corresponding instruction semantic level, the air conditioner control preference characteristics of each user for each intelligent air conditioner are analyzed.

7. The air conditioner control method linked with the smart home system according to claim 6, characterized in that: Based on each user's control preference semantics for the corresponding intelligent air conditioner at the corresponding sub-historical period and the corresponding instruction semantic level, the air conditioner control preference characteristics of each user for each intelligent air conditioner are analyzed, including: Determine the affiliation between the control preference semantics of each user to the corresponding intelligent air conditioner in each sub-historical period and at the adjacent command semantic level; Based on the affiliation between the control preference semantics of the corresponding intelligent air conditioner of each user in each sub-historical period and at adjacent instruction semantic levels, the control preference semantics of the corresponding intelligent air conditioner of each user in each sub-historical period and at all instruction semantic levels are merged and offset to obtain at least one control preference underlying semantics of the corresponding intelligent air conditioner of each user in each sub-historical period; Based on at least one underlying semantic of control preference of each user for the corresponding intelligent air conditioner in each sub-historical period, an air conditioner control preference feature of each user for each intelligent air conditioner is obtained.

8. The air conditioner control method linked with the smart home system according to claim 7, characterized in that: Based on at least one control preference underlying semantics of each user in each sub-historical period, the air conditioner control preference feature of each user for each intelligent air conditioner is obtained, including: Among all the air conditioner history control instructions received by the intelligent air conditioner in a preset history period, all the air conditioner history control instructions corresponding to the instruction semantics at the lowest instruction semantic level are selected as the air conditioner history control instructions corresponding to the control preference bottom semantics of each user in a single sub-historical period as all the air conditioner reference control instructions corresponding to the control preference bottom semantics of the corresponding user in the corresponding sub-historical period; Based on all the air conditioner reference control instructions of each user's underlying semantics of each control preference in each sub-historical period, the air conditioner control preference characteristics of each user for the corresponding intelligent air conditioner are analyzed.

9. The air conditioner control method linked with the smart home system according to claim 8, characterized in that: Based on all the air conditioner reference control instructions of each user in each sub-historical period, the air conditioner control preference characteristics of each user for the corresponding intelligent air conditioner are analyzed, including: Determine the command issuance time of all air conditioner reference control commands of each control preference underlying semantics of each user in each sub-historical period as all environmental monitoring times of the corresponding intelligent air conditioner in the corresponding sub-historical period; Determine the indoor ambient temperature of each intelligent air conditioner at all environmental monitoring moments in each sub-historical period; Based on the underlying semantics of each control preference of each user in each sub-historical period and the corresponding indoor ambient temperature at all environmental monitoring moments, the underlying semantics of all control preferences of each user in each sub-historical period and the corresponding triggering ambient temperature are determined as the air conditioner control preference features of each user for the corresponding smart air conditioner.

10. The air conditioner control method linked with the smart home system according to claim 1, characterized in that: S3: Based on the control preference attributes of each user and the air conditioner control preference characteristics of each user for each intelligent air conditioner, the automatic control standard of each user for each intelligent air conditioner is analyzed, including: By using the standard control preference user class corresponding to the user's control preference attribute and the air conditioner control preference characteristics of each user for each intelligent air conditioner, each control preference underlying semantics of each user in each sub-historical period and the corresponding triggering ambient temperature, a preset standard control preference user class and a triggering ambient temperature-automatic control instruction list of the control preference underlying semantics are retrieved to obtain at least one automatic control instruction of each user for each intelligent air conditioner and the corresponding triggering ambient temperature condition as the automatic control standard of each user for each intelligent air conditioner; wherein, Performing command parsing on each smart home historical control command belonging to each user received by the smart home system within a preset historical period, obtaining the command semantics of each smart home historical control command of each user at different command semantic levels, and determining the standard control preference user class corresponding to the command semantics of each smart home historical control command of each user at each command semantic level; Each user has at least one underlying semantic control preference for the corresponding smart air conditioner in each sub-historical period; wherein, the affiliation between the control preference semantics of each user for the corresponding smart air conditioner at adjacent instruction semantic levels in each sub-historical period is determined; based on the affiliation between the control preference semantics of each user for the corresponding smart air conditioner at adjacent instruction semantic levels in each sub-historical period, the control preference semantics of each user for the corresponding smart air conditioner at all instruction semantic levels in each sub-historical period are merged and offset to obtain at least one underlying semantic control preference of each user for the corresponding smart air conditioner in each sub-historical period; Based on each control preference underlying semantics of each user in each sub-historical period and the corresponding indoor ambient temperature at all environmental monitoring moments, all control preference underlying semantics of each user in each sub-historical period and the corresponding triggering ambient temperature are determined.

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