Intelligent device-based environment regulation method and apparatus

Abstract

The application discloses an environment regulation method and device based on intelligent equipment, comprising: obtaining user information of a target user in a current area, the user information comprising current position information of the target user and / or current noise sensitivity information of the target user; determining device control parameters meeting user demands of the target user according to the user information, the user demands comprising current air supply distance demands of the target user on a target air conditioning device and / or air conditioning noise demands; and controlling a working state of the target air conditioning device according to the device control parameters. It can be seen that the application can regulate the air conditioning according to the current position information and noise sensitivity information of the user, improves the flexibility and convenience of air conditioning control, is beneficial to meeting real-time changes of user demands of the user along with position or state changes, is beneficial to reducing the adverse effects of noise generated by the air conditioning on work and life of the user, and is beneficial to providing a more comfortable living environment for the user.

Description

Technical Field

[0001] This invention relates to the field of smart home technology, and in particular to an environmental control method and apparatus based on smart devices. Background Technology

[0002] In daily life, air conditioning equipment is widely popular due to its advantages such as uniform temperature control across different indoor areas, rapid cooling, long-lasting temperature maintenance, and rich functionality. However, existing air conditioning systems are primarily controlled by users via remote controls or portable networked devices, resulting in relatively low ease of control. When users are unavailable or unable to control the air conditioner, it will remain in its current operating state, leading to a rigid and monotonous operating mode that fails to meet users' ever-changing needs and provide a more comfortable living environment. Therefore, improving the flexibility of air conditioning control to meet users' evolving needs and provide a more comfortable living environment is of paramount importance. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an environmental control method and device based on intelligent devices, which can improve the flexibility and convenience of air conditioning equipment control, meet the real-time changing user needs, and provide users with a more comfortable living environment.

[0004] To address the aforementioned technical problems, the first aspect of this invention discloses an environmental control method based on intelligent devices, the method comprising:

[0005] Obtain user information of the target user in the current area, including the target user's current location information and / or the target user's current sensitivity to noise;

[0006] Based on the user information, determine the device control parameters that meet the user needs of the target user. The user needs include the target user’s current air supply distance requirements and / or air conditioning noise requirements for the target air conditioning device. The target air conditioning device includes at least one air conditioning device in the current area.

[0007] The operating status of the target air conditioning equipment is controlled according to the equipment control parameters.

[0008] As an optional implementation, in the first aspect of the invention, before determining the device control parameters that meet the user needs of the target user based on the user information, the method further includes:

[0009] By tracking the environmental information of the current area and / or the real-time status information of the target user, the basis for determining the needs of the target user is obtained;

[0010] The current user demand stage of the target user is determined based on the aforementioned demand determination criteria.

[0011] Based on the user demand stage, update the user information and trigger the operation of determining the device control parameters that meet the user demand of the target user based on the user information.

[0012] As an optional implementation, in the first aspect of the present invention, updating the user information according to the user demand stage includes:

[0013] Based on the user demand stage and the demand mapping relationship corresponding to the target user, determine the control information corresponding to at least one target functional demand that is related to the user information among the multiple functional demands of the target user for the target air conditioning equipment. The demand mapping relationship includes the mapping relationship between the user demand stage and each functional demand.

[0014] Based on the control information corresponding to each target functional requirement, the sub-information matching the target functional requirement in the user information is updated.

[0015] As an optional implementation, in the first aspect of the present invention, all the target functional requirements include the target user's requirements for the air supply distance and / or air conditioning noise of the target air conditioning equipment. The sub-information matching the air supply distance requirement in the user information includes the location information. The sub-information matching the air conditioning noise requirement in the user information includes the sensitivity information. The control information corresponding to each target functional requirement includes the control direction and control value corresponding to the target functional requirement. The control direction corresponding to each target functional requirement includes a positive control direction or a negative control direction. The positive control direction is used to indicate increasing the parameter value corresponding to the sub-information matching the target functional requirement, and the negative control direction is used to indicate decreasing the parameter value corresponding to the sub-information matching the target functional requirement.

[0016] The step of updating the sub-information in the user information that matches the target functional requirement based on the control information corresponding to each target functional requirement includes:

[0017] When the user information includes the location information, the target air supply distance currently adapted to the target user is determined based on the control information corresponding to the air supply distance requirement and the location information, and is used as the updated location information;

[0018] When the user information includes the sensitivity information, the target air conditioner noise currently adapted to the target user is determined based on the control information corresponding to the air conditioner noise requirement and the sensitivity information, and this is used as the updated sensitivity information.

[0019] As an optional implementation, in the first aspect of the present invention, determining the device control parameters that meet the user needs of the target user based on the user information includes:

[0020] Based on the user information and the calculation algorithm corresponding to at least one target functional requirement that is related to the user information among the multiple functional requirements of the target user for the target air conditioning equipment, the equipment control parameters that meet the user requirements of the target user are determined. The equipment control parameters are used to control the working state of the target air conditioning equipment. The equipment control parameters include the fan speed of the target air conditioning equipment and / or the air outlet opening value of the target air conditioning equipment.

[0021] The functional requirements also include the target user's air conditioning energy requirement for the target air conditioning device, whereby the air conditioning energy requirement represents the target user's temperature requirement, and the method further includes:

[0022] Based on the target user's current user demand stage and the mapping relationship between the user demand stage and the air conditioning energy demand, determine the target air conditioning energy that is currently suitable for the target user;

[0023] The equipment control parameters are updated based on the equipment control parameters, the target air conditioning energy, and the calculation algorithm corresponding to the air conditioning energy demand. The equipment control parameters also include the compressor power of the target air conditioning equipment.

[0024] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0025] The target number of the first type of parameters in the predetermined set of unknown parameters is compared with the preset threshold number to obtain the comparison result. The set of unknown parameters includes all unknown parameters in the calculation algorithm corresponding to all target functional requirements. All target functional requirements include functional requirements that are related to the user information among the multiple functional requirements of the target user for the target air conditioning equipment. Any two unknown parameters in the set of unknown parameters are different. Each unknown parameter is either a first type of parameter or a second type of parameter. The parameter value of each second type of parameter is determined by the parameter values ​​of one or more first type of parameters.

[0026] And, the step of determining the device control parameters that meet the user requirements of the target user based on the user information and the calculation algorithm corresponding to at least one target functional requirement that is related to the user information among the multiple functional requirements of the target user for the target air conditioning device, includes:

[0027] Based on the comparison results, the user information, and the calculation algorithms corresponding to all the target functional requirements, the device control parameters that meet the user requirements of the target user are determined.

[0028] As an optional implementation, in the first aspect of the present invention, determining the device control parameters that satisfy the user requirements of the target user based on the comparison results, the user information, and the calculation algorithms corresponding to all the target functional requirements includes:

[0029] When the comparison result indicates that the target quantity is greater than the preset threshold quantity, the parameter value range of the target parameters that match the user information is calculated according to the calculation algorithm corresponding to all the target functional requirements, and the target parameter value that matches the demand intensity of the user demand stage is determined from the parameter value range. The first control parameter that matches the user information is calculated according to the target parameter value, and is used as the equipment control parameter to meet the user demand of the target user. The target parameter includes the air volume parameter.

[0030] When the comparison result indicates that the target quantity is not greater than the preset threshold quantity, a second control parameter matching the user information is calculated according to the calculation algorithm corresponding to all the target functional requirements, and used as the device control parameter to meet the user requirements of the target user.

[0031] As an optional implementation, in the first aspect of the present invention, the method further includes:

[0032] The user characteristics of the target user and / or the historical user data of the target user are tracked to obtain the basic analysis data of the target user. The historical user data includes feedback data of the target user collected in advance under multiple parameter combinations. Each parameter combination includes at least one of environmental parameters, air conditioning operating parameters, physiological state parameters, and living state parameters.

[0033] Based on the basic analysis data, the air conditioning control preference information corresponding to the target user is determined and stored. The air conditioning control preference information includes the target user's sensitivity to noise and / or the target user's corresponding demand mapping relationship.

[0034] A second aspect of the present invention discloses an environmental control device based on a smart device, the device comprising:

[0035] The information acquisition module is used to acquire user information of target users in the current area, including the target user's current location information and / or the target user's current sensitivity to noise.

[0036] The determination module is used to determine, based on the user information, the device control parameters that meet the user needs of the target user, wherein the user needs include the target user's current air supply distance requirements and / or air conditioning noise requirements for the target air conditioning device, and the target air conditioning device includes at least one air conditioning device in the current area;

[0037] The equipment control module is used to control the operating status of the target air conditioning equipment according to the equipment control parameters.

[0038] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0039] The first tracking module is used to track the environmental information of the current area and / or the real-time status information of the target user before the determining module determines the device control parameters that meet the user needs of the target user based on the user information, so as to obtain the demand determination basis corresponding to the target user;

[0040] The determining module is further configured to determine the current user demand stage of the target user based on the demand determination criteria;

[0041] The first update module is used to update the user information according to the user demand stage, and trigger the determination module to perform the operation of determining the device control parameters that meet the user demand of the target user based on the user information.

[0042] As an optional implementation, in a second aspect of the present invention, the specific method by which the first updating module updates the user information according to the user demand stage includes:

[0043] Based on the user demand stage and the demand mapping relationship corresponding to the target user, determine the control information corresponding to at least one target functional demand that is related to the user information among the multiple functional demands of the target user for the target air conditioning equipment. The demand mapping relationship includes the mapping relationship between the user demand stage and each functional demand.

[0044] Based on the control information corresponding to each target functional requirement, the sub-information matching the target functional requirement in the user information is updated.

[0045] As an optional implementation, in the second aspect of the present invention, all the target functional requirements include the target user's requirements for the air supply distance and / or air conditioning noise of the target air conditioning equipment. The sub-information matching the air supply distance requirement in the user information includes the location information. The sub-information matching the air conditioning noise requirement in the user information includes the sensitivity information. The control information corresponding to each target functional requirement includes the control direction and control value corresponding to the target functional requirement. The control direction corresponding to each target functional requirement includes a positive control direction or a negative control direction. The positive control direction is used to indicate increasing the parameter value corresponding to the sub-information matching the target functional requirement, and the negative control direction is used to indicate decreasing the parameter value corresponding to the sub-information matching the target functional requirement.

[0046] The first update module updates the sub-information in the user information that matches the target functional requirement based on the control information corresponding to each target functional requirement. The specific methods include:

[0047] When the user information includes the location information, the target air supply distance currently adapted to the target user is determined based on the control information corresponding to the air supply distance requirement and the location information, and is used as the updated location information;

[0048] When the user information includes the sensitivity information, the target air conditioner noise currently adapted to the target user is determined based on the control information corresponding to the air conditioner noise requirement and the sensitivity information, and this is used as the updated sensitivity information.

[0049] As an optional implementation, in a second aspect of the present invention, the specific method by which the determining module determines the device control parameters that meet the user needs of the target user based on the user information includes:

[0050] Based on the user information and the calculation algorithm corresponding to at least one target functional requirement that is related to the user information among the multiple functional requirements of the target user for the target air conditioning equipment, the equipment control parameters that meet the user requirements of the target user are determined. The equipment control parameters are used to control the working state of the target air conditioning equipment. The equipment control parameters include the fan speed of the target air conditioning equipment and / or the air outlet opening value of the target air conditioning equipment.

[0051] Among them, all the functional requirements also include the target user's air conditioning energy requirement for the target air conditioning device, wherein the air conditioning energy requirement is used to represent the target user's temperature requirement; and the determining module is further used to determine the target air conditioning energy currently suitable for the target user based on the target user's current user demand stage and the mapping relationship between the user demand stage and the air conditioning energy requirement.

[0052] The device further includes:

[0053] The second update module is used to update the equipment control parameters according to the equipment control parameters, the target air conditioning energy, and the calculation algorithm corresponding to the air conditioning energy demand. The equipment control parameters also include the compressor power of the target air conditioning equipment.

[0054] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0055] The comparison module is used to compare the target number of the first type of parameters in the pre-determined set of unknown parameters with the preset threshold number to obtain a comparison result. The set of unknown parameters includes all unknown parameters in the calculation algorithms corresponding to all target functional requirements. All target functional requirements include functional requirements that are related to the user information among the multiple functional requirements of the target user for the target air conditioning equipment. Any two unknown parameters in the set of unknown parameters are different. Each unknown parameter is either a first type of parameter or a second type of parameter. The parameter value of each second type of parameter is determined by the parameter values ​​of one or more first type of parameters.

[0056] Furthermore, the specific method by which the determining module determines the equipment control parameters that meet the user's needs based on the user information and the calculation algorithm corresponding to at least one target functional requirement among the multiple functional requirements of the target user for the target air conditioning equipment that is related to the user information includes:

[0057] Based on the comparison results, the user information, and the calculation algorithms corresponding to all the target functional requirements, the device control parameters that meet the user requirements of the target user are determined.

[0058] As an optional implementation, in a second aspect of the invention, the determining module determines the specific method by which it satisfies the user requirements of the target user based on the comparison results, the user information, and the calculation algorithms corresponding to all the target functional requirements, including:

[0059] When the comparison result indicates that the target quantity is greater than the preset threshold quantity, the parameter value range of the target parameters that match the user information is calculated according to the calculation algorithm corresponding to all the target functional requirements, and the target parameter value that matches the demand intensity of the user demand stage is determined from the parameter value range. The first control parameter that matches the user information is calculated according to the target parameter value, and is used as the equipment control parameter to meet the user demand of the target user. The target parameter includes the air volume parameter.

[0060] When the comparison result indicates that the target quantity is not greater than the preset threshold quantity, a second control parameter matching the user information is calculated according to the calculation algorithm corresponding to all the target functional requirements, and used as the device control parameter to meet the user requirements of the target user.

[0061] As an optional implementation, in a second aspect of the invention, the apparatus further includes:

[0062] The second tracking module is used to track the user characteristics of the target user and / or the historical user data of the target user to obtain the basic analysis data of the target user. The historical user data includes the feedback data of the target user under multiple parameter combinations that were collected in advance. Each parameter combination includes at least one of environmental parameters, air conditioning operating parameters, physiological state parameters, and living state parameters.

[0063] The determining module is further configured to determine the air conditioning control preference information corresponding to the target user based on the basic analysis data;

[0064] A storage module is used to store the air conditioning control preference information, which includes the target user's sensitivity to noise and / or the corresponding demand mapping relationship of the target user.

[0065] A third aspect of the present invention discloses another environmental control device based on a smart device, the device comprising:

[0066] Memory containing executable program code;

[0067] A processor coupled to the memory;

[0068] The processor calls the executable program code stored in the memory to execute the environmental control method based on intelligent devices disclosed in the first aspect of the present invention.

[0069] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the environmental control method based on intelligent devices disclosed in the first aspect of the present invention.

[0070] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0071] In this embodiment of the invention, user information of a target user in the current area is obtained. This user information includes the target user's current location information and / or the target user's current noise sensitivity information. Based on the user information, device control parameters that meet the target user's needs are determined. These user needs include the target user's current airflow distance requirements for the target air conditioning device and / or air conditioning noise requirements. The target air conditioning device includes at least one air conditioning device in the current area. Based on the device control parameters, the operating state of the target air conditioning device is controlled. Therefore, implementing this invention allows for the adjustment of the airflow distance and noise level of the air conditioning system based on the user's current location information and noise sensitivity information. This improves the flexibility and convenience of air conditioning device control, helps meet user needs that change in real time with changes in location or state, provides personalized air conditioning control methods for users with different noise sensitivities, reduces the adverse effects of air conditioning noise on users' work and life, and contributes to providing a more comfortable living environment for users. Attached Figure Description

[0072] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0073] Figure 1 This is a flowchart illustrating an environmental control method based on intelligent devices disclosed in an embodiment of the present invention;

[0074] Figure 2 This is a schematic diagram of a scenario for an environmental control method based on intelligent devices disclosed in an embodiment of the present invention;

[0075] Figure 3 This is a flowchart illustrating another environmental control method based on intelligent devices disclosed in an embodiment of the present invention;

[0076] Figure 4 This is a schematic diagram of the structure of an environmental control device based on a smart device disclosed in an embodiment of the present invention;

[0077] Figure 5 This is a schematic diagram of another environmental control device based on a smart device disclosed in an embodiment of the present invention;

[0078] Figure 6 This is a schematic diagram of another environmental control device based on a smart device disclosed in an embodiment of the present invention. Detailed Implementation

[0079] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0080] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0081] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0082] This invention discloses an environmental control method and apparatus based on intelligent devices. It can adjust the airflow distance and noise level of an air conditioner according to the user's current location information and noise sensitivity information, improving the flexibility and convenience of air conditioning equipment control. This helps meet the changing needs of users as their location or state changes in real time, and provides personalized air conditioning control methods for users with different noise sensitivities. It also reduces the adverse impact of air conditioning noise on users' work and life, contributing to a more comfortable living environment. Detailed descriptions follow.

[0083] Example 1

[0084] Please see Figure 1 , Figure 1 This is a flowchart illustrating an environmental control method based on intelligent devices disclosed in an embodiment of the present invention. Wherein, Figure 1The described environmental control method based on smart devices can be applied to air conditioning equipment in any scenario, such as bedrooms, living rooms, and offices. It can also be applied to local control devices of the aforementioned air conditioning equipment, such as smart speakers associated with the air conditioning equipment, and further to the cloud control center corresponding to the air conditioning equipment. This invention does not limit the application of this method. Figure 1 As shown, the environmental control method based on smart devices may include the following operations:

[0085] 101. Obtain user information of the target user in the current region.

[0086] In this embodiment of the invention, the user information may optionally include the target user's current location information and / or the target user's current sensitivity to noise.

[0087] In this embodiment of the invention, optionally, the location information may include one or more of the following: the target user's current location area, target distance, target direction, and positioning information. Further optionally, the target distance represents the distance between the target user and the target air conditioning device in the current area; the target direction represents the direction of the target user relative to the target air conditioning device; the positioning information may include digital positioning data of the target user's current location; and the location area may include environmental areas (such as strong wind areas and weak wind areas) divided based on the environmental control capabilities of the target air conditioning device and / or functional areas (such as leisure areas and work areas) divided based on home functions. Therefore, this increases the diversity of location information, which is beneficial for accurately determining user needs based on location information.

[0088] In this embodiment of the invention, optionally, the target user's current sensitivity to noise information may include at least one of the target user's current sensitivity to target noise or sensitivity value, the target user's current maximum tolerable level of target noise or maximum noise level, wherein the target noise includes at least air conditioning noise. This improves the accuracy of the obtained user's noise sensitivity information.

[0089] As an optional implementation method, obtaining user information of the target user in the current area may include:

[0090] Based on the target user's location-enabled terminal device in the current area and / or based on the target user's person recognition terminal device in the current area, obtain the target user's location information in the current area; and / or,

[0091] Based on the terminal devices with user identification functions in the current area, determine the user identity information of the target user in the current area, and determine the target user's current sensitivity to noise based on the user identity information.

[0092] It is evident that implementing this optional implementation method enables the collection of real-time user information from multiple terminal devices, thereby improving the accuracy and effectiveness of the collected user information.

[0093] In this optional implementation, the target user's location-enabled terminal device may include one or more portable devices such as a mobile phone, smart bracelet, smart glasses, smart ankle bracelet, or smart slippers. The terminal device with person recognition functionality may include at least one of a camera, infrared temperature recognition instrument, etc. The terminal device with user identification functionality may include one or more of the following: a user-carried terminal device with account binding functionality (such as a mobile phone or smart bracelet), a user-worn terminal device with vital sign parameter collection functionality (such as smart slippers or smart bracelet), and the aforementioned terminal devices with person recognition functionality. Further optionally, the user identity information may include one or more of the target user's identity identifier (such as name, ID, etc.), user age, user gender, health status, user preferences, and user habits. Therefore, this can improve the diversity and flexibility of user information acquisition methods, thereby enriching the collected user information.

[0094] 102. Based on user information, determine the equipment control parameters that meet the user needs of the target users.

[0095] In this embodiment of the invention, optionally, the user requirements may include the target user's current air supply distance requirements and / or air conditioning noise requirements for the target air conditioning device. The target air conditioning device may include at least one air conditioning device in the current area. Preferably, the target air conditioning device includes the air conditioning device in the current area that is closest to the target user or the air conditioning device that is closest to the target user among all the air conditioning devices in the corresponding work area that cover the location of the target user.

[0096] As an optional implementation, determining the device control parameters that meet the user needs of the target user based on user information may include:

[0097] Based on user information and the calculation algorithm corresponding to at least one target functional requirement that is related to the user information among the multiple functional requirements of the target air conditioning equipment, the equipment control parameters that meet the user requirements of the target user are determined. The equipment control parameters are used to control the working state of the target air conditioning equipment. The equipment control parameters may include the fan speed of the target air conditioning equipment and / or the air outlet opening value of the target air conditioning equipment.

[0098] It is evident that implementing this optional implementation method can combine the calculation algorithm of multiple functional requirements of the user for the air conditioning equipment with user information to calculate the fan speed and air outlet opening value, thereby improving the accuracy of the determined equipment control parameters and helping to provide users with more comfortable air conditioning air while minimizing excessive noise.

[0099] In this optional implementation, the target user's functional requirements for the target air conditioning equipment may optionally include air delivery distance requirements and / or air conditioning noise requirements, and all target functional requirements may include air delivery distance requirements and / or air conditioning noise requirements. Further optionally, all functional requirements may also include the target user's air conditioning energy requirements for the target air conditioning equipment, whereby the air conditioning energy requirements represent the target user's temperature requirements, and may include one of cooling capacity requirements, heating capacity requirements, and comfort temperature requirements. Therefore, this approach improves the comprehensiveness and diversity of functional requirements, which is beneficial for providing users with more diversified and comprehensive air conditioning services.

[0100] In this optional implementation, the calculation algorithm corresponding to the air supply distance requirement may include:

[0101] Q = f1(Z,G),

[0102] D=f2(Q,S)=f3(f1(Z,G),f1(Z,G) / G)=f4(Z,G),

[0103] Where Q represents the air volume parameter, Z represents the fan speed, G represents the air outlet opening value, D represents the parameter value corresponding to the location information, i.e. the target air supply distance currently adapted to the target user, and S represents the air outlet speed.

[0104] The calculation algorithm for air conditioner noise requirements may include:

[0105] N=f5(Q,Z,S,D)=f6(f1(Z,G),Z,f1(Z,G) / G,D)=f7(Z,G,D),

[0106] Where N represents the parameter value corresponding to the sensitivity information, that is, the target air conditioner noise currently adapted to the target user.

[0107] In this optional embodiment, the device control parameters may further include the air volume parameters and air outlet speed of the target air conditioning device.

[0108] It is evident that implementing this optional implementation method can calculate air volume parameters, fan speed, air outlet opening value, and air outlet speed based on multiple calculation formulas, which helps to improve the accuracy and efficiency of determining equipment control parameters. Furthermore, by directly calculating the underlying control parameters of the air conditioning equipment, it helps to improve the control efficiency of the air conditioning equipment.

[0109] 103. Control the operating status of the target air conditioning equipment according to the equipment control parameters.

[0110] For example, such as Figure 2 As shown, the user is lying in bed sleeping. The fan speed, air velocity, air outlet opening value, air conditioning temperature, compressor frequency and other parameters of the air conditioning equipment can be determined based on the distance between the bed and the air conditioning equipment and the air conditioning noise that the user can tolerate while sleeping, so as to control the working state of the target air conditioning equipment to match the user's sleeping state.

[0111] As can be seen, implementing the embodiments of the present invention can adjust the air supply distance and noise of the air conditioner according to the user's current location information and noise sensitivity information, thereby improving the flexibility and convenience of air conditioning equipment control. It is beneficial to meet the user's needs that change in real time as the location or state changes, and to provide personalized air conditioning control methods for users with different noise sensitivity levels. It also reduces the adverse effects of noise generated by the air conditioner on the user's work and life, and helps to provide users with a more comfortable living environment.

[0112] In an optional embodiment, the method may further include:

[0113] Based on the target user's current user demand stage and the mapping relationship between the user demand stage and the air conditioning energy demand, determine the target air conditioning energy that is currently suitable for the target user;

[0114] The equipment control parameters are updated based on the equipment control parameters, the target air conditioning energy, and the calculation algorithm corresponding to the air conditioning energy demand. The equipment control parameters may also include the compressor power of the target air conditioning equipment.

[0115] For example, when the air conditioner's energy demand is for cooling capacity, based on the mapping relationship between the air conditioner's energy demand and the user's demand stage, the target air conditioner energy corresponding to the user's demand stage, such as very hot, medium hot, low hot, slightly hot, and no hot stage, can be respectively 100-90%, 90-70%, 70-40%, 40-10%, and 10-0% of the air conditioner's maximum cooling capacity. When the air conditioner's energy demand is for comfort temperature, based on the mapping relationship between comfort temperature demand and the user's demand stage, the demand parameters corresponding to the very hot, medium hot, low hot, slightly hot, and no hot stages can be respectively 22-23℃, 23-24℃, 24-25℃, 25-25.5℃, and 25.5-26℃.

[0116] As can be seen, implementing this optional embodiment can further calculate the compressor power of the air conditioning equipment based on the user's current energy demand for air conditioning after determining the fan speed and air outlet opening value. This helps to improve the comprehensiveness of the equipment control parameters, thereby helping to provide users with a more comfortable air conditioning operating temperature while meeting their requirements for air outlet speed and air conditioning noise.

[0117] In this optional embodiment, when the air conditioning energy demand is a cooling demand or a heating demand, the calculation algorithm corresponding to the air conditioning energy demand may include:

[0118] F = C * ρ * Q * ΔT

[0119] ΔT=f9(Q,f)=f9(f1(Z,G),f)=f10(Z,G,f),

[0120] Where F represents the target air conditioning energy, that is, the cooling or heating capacity that meets the air conditioning energy demand of the target user, C represents the specific heat capacity of air, ρ represents the air density, ΔT represents the temperature difference between the air outlet and air inlet of the target air conditioning equipment, and f represents the compressor frequency.

[0121] When the air conditioning energy demand is a comfort temperature demand, the calculation algorithm for the air conditioning energy demand can include:

[0122] T1 = f8(Q,D,ΔT1),

[0123] ΔT1=T2-T,

[0124] ΔT = T1 - T2,

[0125] ΔT=f9(Q,f)=f9(f1(Z,G),f)=f10(Z,G,f),

[0126] Where T represents the comfortable temperature that meets the air conditioning energy needs of the target user, T1 represents the air outlet temperature, and T2 represents the ambient temperature.

[0127] As can be seen, implementing this optional embodiment can also calculate the compressor power of the air conditioning equipment based on multiple calculation formulas, which improves the diversity and accuracy of the calculated compressor power, thereby improving the matching degree between the calculated compressor power and the user's temperature requirements.

[0128] In another alternative embodiment, the method may further include:

[0129] The target number of the first type of parameters in the predetermined set of unknown parameters is compared with the preset threshold number to obtain the comparison result. The set of unknown parameters contains all unknown parameters in the calculation algorithm corresponding to all target functional requirements. All target functional requirements include the functional requirements of the target user for the target air conditioning equipment that are related to user information. Any two unknown parameters in the set of unknown parameters are different. Each unknown parameter is a first type parameter or a second type parameter. The parameter value of each second type parameter is determined by the parameter values ​​of one or more first type parameters.

[0130] Furthermore, based on user information and a calculation algorithm corresponding to at least one target functional requirement among multiple functional requirements of the target air conditioning equipment that is related to the user information, the equipment control parameters that meet the user's needs can be determined, which may include:

[0131] Based on the comparison results, user information, and the calculation algorithms corresponding to all target functional requirements, determine the device control parameters that meet the user requirements of the target users.

[0132] In this optional embodiment, the preset threshold number may optionally include the number of all target functional requirements.

[0133] As can be seen, implementing this optional embodiment can take the number of unknown parameters to be determined in the calculation algorithm as a factor in calculating the control parameters of the device, which helps to reduce the occurrence of situations where the device control parameters cannot be determined due to too many unknown parameters.

[0134] In this optional embodiment, as an optional implementation method, determining the device control parameters that meet the user needs of the target user based on the comparison results, user information, and calculation algorithms corresponding to all target functional requirements may include:

[0135] When the comparison result indicates that the target quantity is greater than the preset threshold quantity, the parameter value range of the target parameters that match the user information is calculated according to the calculation algorithm corresponding to all target functional requirements. The target parameter value that matches the demand intensity of the user demand stage is determined from the parameter value range. The first control parameter that matches the user information is calculated according to the target parameter value, which serves as the equipment control parameter to meet the user demand of the target user. The target parameters include air volume parameters.

[0136] When the comparison result indicates that the target quantity is not greater than the preset threshold quantity, a second control parameter matching the user information is calculated based on the calculation algorithm corresponding to all target functional requirements, and used as the device control parameter to meet the user requirements of the target user.

[0137] It is evident that implementing this optional implementation method can narrow the parameter value range according to the user's needs when there are many unknown parameters to be determined, thereby improving the matching degree between the determined equipment control parameters and the user's needs. It also helps to reduce the situation where there are too many influencing factors on equipment control due to the functional expansion of air conditioning equipment, which may lead to the inability to determine the equipment control parameters, leaving more room for the functional expansion of air conditioning equipment.

[0138] In this optional implementation, determining a target parameter value that matches the intensity of the user's demand at a given stage from the parameter value range may include:

[0139] When the intensity of demand in the user demand stage is greater than the first preset intensity, the maximum parameter value in the parameter value range is determined as the target parameter value; when the intensity of demand in the user demand stage is less than the second preset intensity, the minimum parameter value in the parameter value range is determined as the target parameter value; or,

[0140] The target parameter value is determined from one of the sub-parameter values ​​within the parameter value range that matches the intensity of the user's needs at the current stage.

[0141] It is evident that implementing this optional implementation method can also determine the target parameter values ​​for matching the intensity of user demand in various ways when there are many unknown parameters to be determined, thereby improving the accuracy, diversity, and efficiency of determining the target parameter values.

[0142] In this optional implementation, further optionally, when the comparison result indicates that the target quantity is less than a preset threshold quantity, a second control parameter matching the user information is calculated according to the calculation algorithm corresponding to all target functional requirements, and used as the device control parameter to meet the user requirements of the target user, which may include:

[0143] Based on the user needs phase, determine the priority of each target functional requirement;

[0144] From all target functional requirements, determine the number of priority functional requirements that meet the preset conditions;

[0145] Based on the calculation algorithm corresponding to all priority functional requirements, a second control parameter matching the user information is calculated, which serves as the device control parameter to meet the user needs of the target user.

[0146] It is evident that implementing this optional implementation method can prioritize meeting the target functional requirements with a smaller number of unknown parameters, which is conducive to further improving the matching degree between air conditioning equipment control and user needs.

[0147] In yet another optional embodiment, the method may further include:

[0148] Track the user characteristics and / or historical user data of the target users to obtain basic analysis data of the target users. The historical user data includes feedback data of the target users collected in advance under multiple parameter combinations. Each parameter combination includes at least one of environmental parameters, air conditioning operating parameters, physiological state parameters, and living state parameters.

[0149] Based on the basic analysis data, determine and store the air conditioning control preference information corresponding to the target users. The air conditioning control preference information includes the target users' sensitivity to noise and / or the corresponding demand mapping relationship of the target users.

[0150] In this optional implementation, the feedback data may include one or more of the following: physiological feedback information collected by the portable device worn by the target user, feedback information actively uploaded by the target user, and voice feedback information of the target user.

[0151] It is evident that implementing this optional embodiment can determine the user's sensitivity to noise and the demand mapping relationship based on the user's user characteristics and historical user data, which helps to improve the accuracy and reliability of the user's sensitivity to noise and the demand mapping relationship.

[0152] In this optional embodiment, as an optional implementation method, determining the air conditioning control preference information corresponding to the target user based on the basic analysis data may include:

[0153] The data corresponding to each data tag in the basic analysis data of the target user is analyzed in the basic analysis data of other users to obtain the cross-analysis results.

[0154] The longitudinal analysis results are obtained by analyzing the changing trend of each data tag in the basic analysis data of the target users along the time axis.

[0155] Based on the results of the horizontal and / or vertical analysis, determine the air conditioning control preference information corresponding to the target users.

[0156] It is evident that implementing this optional implementation method enables both horizontal and vertical analysis of the user's basic analytical data, thereby improving the comprehensiveness and accuracy of data analysis.

[0157] Example 2

[0158] Please see Figure 3 , Figure 3 This is a flowchart illustrating an environmental control method based on intelligent devices disclosed in an embodiment of the present invention. Wherein, Figure 3The described environmental control method based on smart devices can be applied to air conditioning equipment in any scenario, such as bedrooms, living rooms, and offices. It can also be applied to local control devices of the aforementioned air conditioning equipment, such as smart speakers associated with the air conditioning equipment, and further to the cloud control center corresponding to the air conditioning equipment. This invention does not limit the application of this method. Figure 3 As shown, the environmental control method based on smart devices may include the following operations:

[0159] 201. Obtain user information of the target user in the current area. The user information includes the target user's current location information and / or the target user's current sensitivity to noise information.

[0160] 202. Track the environmental information of the current area and / or the real-time status information of the target user to obtain the basis for determining the target user's needs.

[0161] In this embodiment of the invention, optionally, environmental information may include one or more of ambient temperature, ambient humidity, and ambient noise. Ambient temperature may include the indoor temperature of the current area, and may also include the corresponding outdoor temperature and / or the indoor-outdoor temperature difference. Ambient humidity may include the corresponding indoor humidity of the current area, and may also include the corresponding outdoor humidity and / or the indoor-outdoor humidity difference. Real-time status information may include the target user's current physiological status and / or lifestyle status. Lifestyle status information may include the target user's activity level (e.g., moving, slow movement, still, very still) and / or the target user's ongoing action (e.g., exercising, walking, eating, reading, sleeping). Physiological status information may include one or more of the target user's sweating status, heart rate status, body surface temperature, and health status. This improves the diversity of the tracked information, thereby increasing the accuracy of determining the user's needs at different stages.

[0162] In this embodiment of the invention, optionally, tracking the environmental information of the current area and / or the real-time status information of the target user to obtain the corresponding demand determination criteria for the target user may include: tracking the environmental information of the current area and / or the real-time status information of the target user according to the tracking device corresponding to each type of information to be collected in the current area to obtain the corresponding demand determination criteria for the target user. Specifically, environmental information can be collected based on any environmental information sensor (temperature sensor, humidity sensor, etc.) in the current area; physiological status information (such as sweating status) and / or living status information of the target user can be collected based on wearable smart devices with information collectors (pressure sensor, humidity sensor, temperature sensor, etc.) such as smart bracelets, smart ankle bracelets, and smart slippers worn by the target user; physiological status information and / or living status information of the target user can also be collected based on non-wearable devices with information collectors in the current area, for example, using an infrared temperature sensor to collect the target user's body surface temperature and determine the user's living status information, or using motion capture devices (such as camera devices) to collect the target user's living status information; physiological status information (such as health status) of the target user can also be obtained from a pre-stored database, etc., and this embodiment of the invention does not limit the scope of the invention. This can improve the accuracy and convenience of information tracking.

[0163] 203. Determine the current stage of user needs of the target user based on the criteria for demand assessment.

[0164] In this embodiment of the invention, optionally, the demand stage is used to indicate the degree of demand of the target user for one or more environmental parameters at the current stage. The environmental parameters may include one or more of temperature and humidity.

[0165] For example, user demand stages can include very hot, moderately hot, low-heat, slightly hot, and not hot stages, each corresponding to different levels of temperature (or air conditioning cooling capacity) demand from the target user. When the target user is sweating, has just returned from outdoors, the indoor temperature is 30°C, is engaging in vigorous exercise, or the indoor-outdoor temperature difference is 5°C, the user demand stage can be determined as very hot. When the indoor temperature drops to 26°C, the target user is still slightly sweating, or is still engaging in vigorous exercise, the user demand stage can be determined as low-heat. When the indoor temperature is 26°C, the target user is not sweating, or is in a slow-moving state (reading), the user demand stage can be determined as not hot.

[0166] 204. Update user information according to the user's needs at each stage.

[0167] As an optional implementation, updating user information according to the user's needs at each stage may include:

[0168] Based on the user demand stage and the demand mapping relationship corresponding to the target user, determine the control information corresponding to at least one target functional demand that is related to the user information among the multiple functional demands of the target user for the target air conditioning equipment. The demand mapping relationship includes the mapping relationship between the user demand stage and each functional demand.

[0169] Based on the control information corresponding to each target functional requirement, the sub-information in the user information that matches the target functional requirement is updated.

[0170] It is evident that implementing this optional implementation method can update user information based on the mapping relationship between the user's current demand stage and functional requirements, thereby improving the accuracy and reliability of user information updates.

[0171] In this optional implementation, optionally, all target functional requirements include the target user's requirements for the air supply distance and / or air conditioning noise of the target air conditioning equipment. The sub-information matching the air supply distance requirement in the user information may include location information, and the sub-information matching the air conditioning noise requirement in the user information may include sensitivity information. The control information corresponding to each target functional requirement may include the control direction and control value corresponding to that target functional requirement. The control direction corresponding to each target functional requirement includes a positive control direction or a negative control direction. A positive control direction indicates increasing the parameter value corresponding to the sub-information matching the target functional requirement, while a negative control direction indicates decreasing the parameter value corresponding to the sub-information matching the target functional requirement. Therefore, this approach can improve the diversity and comprehensiveness of functional requirements and related control information, thereby facilitating accurate control of user information and meeting diverse user needs.

[0172] In this optional implementation, further optionally, updating the sub-information in the user information that matches the target functional requirement based on the control information corresponding to each target functional requirement may include:

[0173] When user information includes location information, the target air supply distance currently adapted to the target user is determined based on the control information corresponding to the air supply distance requirement and the location information, and this is used as the updated location information.

[0174] When user information includes sensitivity information, the target air conditioner noise level currently adapted to the target user is determined based on the control information corresponding to the air conditioner noise requirement and the sensitivity information, and this is used as the updated sensitivity information.

[0175] For example, when the user's demand stage is "very hot", the control direction corresponding to the air supply distance requirement can be the positive control direction, with a control value of 0.5m. If the distance between the user and the air conditioner is 1m, then the user's current target air supply distance is 1.5m, which is used as the updated location information. When the user's demand stage is "not hot", the control direction corresponding to the air supply distance can be the negative control direction, with a control value of 0.5m. Then the user's current target air supply distance is 0.5m, which is used as the updated location information.

[0176] It is evident that implementing this optional implementation method can adjust the air supply distance and air conditioning noise to suit the user based on the control information corresponding to the user's demand stage, which is beneficial to improving the real-time performance and effectiveness of the determined user's demand for air supply distance and air conditioning noise, as well as the degree of matching with other user demands.

[0177] 205. Based on user information, determine the equipment control parameters that meet the user's needs. The user's needs include the target user's current requirements for the air supply distance and / or air conditioning noise of the target air conditioning equipment. The target air conditioning equipment includes at least one air conditioning equipment in the current area.

[0178] 206. Control the operating status of the target air conditioning equipment according to the equipment control parameters.

[0179] As can be seen, implementing the embodiments of the present invention can adjust the air supply distance and noise of the air conditioner based on the user's current location information and noise sensitivity information, thereby improving the flexibility and convenience of air conditioning equipment control. This is beneficial for meeting the user's needs that change in real time as their location or state changes, and for providing personalized air conditioning control methods for users with different noise sensitivities. It also reduces the adverse impact of noise generated by the air conditioner on the user's work and life, and helps to provide a more comfortable living environment for the user. In addition, by tracking real-time environmental information and user status and adjusting user information based on the determined user needs, the real-time performance and effectiveness of the determined user information are improved, which in turn helps to further meet the user's real-time changing needs.

[0180] Example 3

[0181] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of an environmental control device based on a smart device, as disclosed in an embodiment of the present invention. Figure 4 The described smart device-based environmental control device can be applied to air conditioning equipment in any scenario such as bedrooms, living rooms, and offices. It can also be applied to local control devices of the aforementioned air conditioning equipment, such as smart speakers associated with the air conditioning equipment, and further to the cloud control center corresponding to the air conditioning equipment. This invention does not limit the application of this method. Figure 4As shown, the environmental control device based on intelligent devices may include:

[0182] The information acquisition module 301 is used to acquire user information of the target user in the current area. The user information includes the target user's current location information and / or the target user's current sensitivity to noise information.

[0183] The determining module 302 is used to determine the equipment control parameters that meet the user needs of the target user based on the user information. The user needs include the target user's current air supply distance requirements and / or air conditioning noise requirements for the target air conditioning equipment. The target air conditioning equipment includes at least one air conditioning equipment in the current area.

[0184] The equipment control module 303 is used to control the working status of the target air conditioning equipment according to the equipment control parameters.

[0185] It is evident that implementation Figure 4 The described device can adjust the air supply distance and noise of the air conditioner based on the user's current location information and noise sensitivity information, which improves the flexibility and convenience of air conditioning equipment control. It is conducive to meeting the user's needs that change in real time as the location or state changes, and provides personalized air conditioning control methods for users with different noise sensitivity levels. It reduces the adverse impact of noise generated by the air conditioner on the user's work and life, and helps to provide users with a more comfortable living environment.

[0186] In an optional embodiment, such as Figure 5 As shown, the device may further include:

[0187] The first tracking module 304 is used to track the environmental information of the current area and / or the real-time status information of the target user before the determining module 302 determines the device control parameters that meet the user's needs based on the user information, so as to obtain the corresponding demand determination basis of the target user.

[0188] The determination module 302 is also used to determine the current user demand stage of the target user based on the demand determination criteria;

[0189] The first update module 305 is used to update user information according to the user demand stage and trigger the determination module 302 to perform the above-mentioned operation of determining the device control parameters that meet the user demand of the target user based on the user information.

[0190] It is evident that implementation Figure 5 The described device can track real-time environmental information and user status, and adjust user information based on the determined user needs stage, which helps to improve the real-time performance and effectiveness of the determined user information, and thus helps to further meet the user's real-time changing needs.

[0191] In another alternative embodiment, such as Figure 5 As shown, the first update module 305 may update user information in the following ways according to the user's needs at each stage:

[0192] Based on the user demand stage and the demand mapping relationship corresponding to the target user, determine the control information corresponding to at least one target functional demand that is related to the user information among the multiple functional demands of the target user for the target air conditioning equipment. The demand mapping relationship includes the mapping relationship between the user demand stage and each functional demand.

[0193] Based on the control information corresponding to each target functional requirement, the sub-information in the user information that matches the target functional requirement is updated.

[0194] It is evident that implementation Figure 5 The described device can also update user information based on the mapping relationship between the user's current need stage and functional requirements, thereby improving the accuracy and reliability of user information updates.

[0195] In yet another alternative embodiment, such as Figure 5 As shown, all target functional requirements include the target user's requirements for the air supply distance and / or air conditioning noise of the target air conditioning equipment. The sub-information matching the air supply distance requirement in the user information includes location information, and the sub-information matching the air conditioning noise requirement in the user information includes sensitivity information. The control information corresponding to each target functional requirement includes the control direction and control value corresponding to the target functional requirement. The control direction corresponding to each target functional requirement includes a positive control direction or a negative control direction. A positive control direction is used to indicate increasing the parameter value corresponding to the sub-information matching the target functional requirement, and a negative control direction is used to indicate decreasing the parameter value corresponding to the sub-information matching the target functional requirement.

[0196] The specific methods by which the first update module 305 updates the sub-information in the user information that matches the target functional requirement based on the control information corresponding to each target functional requirement may include:

[0197] When user information includes location information, the target air supply distance currently adapted to the target user is determined based on the control information corresponding to the air supply distance requirement and the location information, and this is used as the updated location information.

[0198] When user information includes sensitivity information, the target air conditioner noise level currently adapted to the target user is determined based on the control information corresponding to the air conditioner noise requirement and the sensitivity information, and this is used as the updated sensitivity information.

[0199] It is evident that implementation Figure 5The described device can also improve the diversity and comprehensiveness of functional requirements and related control information, thereby facilitating accurate control of user information, meeting various user needs, and adjusting the air supply distance and air conditioning noise according to the control information corresponding to the user's demand stage. This helps to improve the real-time performance and effectiveness of the determined user's demand for air supply distance and air conditioning noise, as well as the degree of matching with other user needs.

[0200] In yet another alternative embodiment, such as Figure 5 As shown, the specific method by which the determining module 302 determines the device control parameters that meet the user needs of the target user based on user information may include:

[0201] Based on user information and the calculation algorithm corresponding to at least one target functional requirement that is related to user information among the multiple functional requirements of the target air conditioning equipment, the equipment control parameters that meet the user requirements of the target user are determined. The equipment control parameters are used to control the working state of the target air conditioning equipment. The equipment control parameters include the fan speed of the target air conditioning equipment and / or the air outlet opening value of the target air conditioning equipment.

[0202] Among them, all functional requirements may also include the target user's air conditioning energy requirements for the target air conditioning equipment, the air conditioning energy requirements being used to represent the target user's temperature requirements; and the determining module 302 is also used to determine the target air conditioning energy currently adapted to the target user based on the target user's current user demand stage and the mapping relationship between the user demand stage and the air conditioning energy requirements.

[0203] The device may also include:

[0204] The second update module 306 is used to update the equipment control parameters according to the equipment control parameters, the target air conditioning energy, and the calculation algorithm corresponding to the air conditioning energy demand. The equipment control parameters may also include the compressor power of the target air conditioning equipment.

[0205] It is evident that implementation Figure 5 The described device can also calculate the fan speed and air outlet opening value by combining the user's calculation algorithm for multiple functional requirements of the air conditioning equipment with user information, which improves the accuracy of the determined equipment control parameters. This helps to provide users with more comfortable air conditioning air while minimizing excessive noise. In addition, by further calculating the compressor power of the air conditioning equipment based on the user's current energy demand after determining the fan speed and air outlet opening value, the comprehensiveness of the equipment control parameters is improved. This helps to provide users with a more comfortable air conditioning operating temperature while meeting the user's requirements for air outlet speed and air conditioning noise.

[0206] In yet another alternative embodiment, such as Figure 5As shown, the device may further include:

[0207] The comparison module 307 is used to compare the target number of the first type of parameters in the pre-determined set of unknown parameters with the preset threshold number to obtain the comparison result. The set of unknown parameters contains all unknown parameters in the calculation algorithm corresponding to all target functional requirements. All target functional requirements include functional requirements that are related to user information among the multiple functional requirements of the target user for the target air conditioning equipment. Any two unknown parameters in the set of unknown parameters are different. Each unknown parameter is a first type parameter or a second type parameter. The parameter value of each second type parameter is determined by the parameter values ​​of one or more first type parameters.

[0208] Furthermore, the specific method by which the determining module 302 determines the equipment control parameters that meet the user's needs based on user information and a calculation algorithm corresponding to at least one target functional requirement among the multiple functional requirements of the target air conditioning equipment that are related to the user information may include:

[0209] Based on the comparison results, user information, and the calculation algorithms corresponding to all target functional requirements, determine the device control parameters that meet the user requirements of the target users.

[0210] It is evident that implementation Figure 5 The described device can also take into account the number of unknown parameters to be determined in the calculation algorithm as a factor in calculating the control parameters of the device, which helps to reduce the occurrence of situations where the control parameters of the device cannot be determined due to too many unknown parameters.

[0211] In yet another alternative embodiment, such as Figure 5 As shown, the specific method by which the determining module 302 determines the device control parameters that meet the user needs of the target user based on the comparison results, user information, and the calculation algorithms corresponding to all target functional requirements may include:

[0212] When the comparison result indicates that the target quantity is greater than the preset threshold quantity, the parameter value range of the target parameters that match the user information is calculated according to the calculation algorithm corresponding to all target functional requirements. The target parameter value that matches the demand intensity of the user demand stage is determined from the parameter value range. The first control parameter that matches the user information is calculated according to the target parameter value, which serves as the equipment control parameter to meet the user demand of the target user. The target parameters include air volume parameters.

[0213] When the comparison result indicates that the target quantity is not greater than the preset threshold quantity, a second control parameter matching the user information is calculated based on the calculation algorithm corresponding to all target functional requirements, and used as the device control parameter to meet the user requirements of the target user.

[0214] It is evident that implementation Figure 5 The described device can also narrow the range of parameter values ​​according to user needs when there are many unknown parameters to be determined, thereby improving the matching degree between the determined equipment control parameters and user needs. It also helps to reduce the situation where too many factors affect equipment control due to the functional expansion of air conditioning equipment, which may lead to the inability to determine equipment control parameters, leaving more room for the functional expansion of air conditioning equipment.

[0215] In yet another alternative embodiment, such as Figure 5 As shown, the device may further include:

[0216] The second tracking module 308 is used to track the user characteristics of the target user and / or the historical user data of the target user to obtain the basic analysis data of the target user. The historical user data includes the feedback data of the target user collected in advance under multiple parameter combinations. Each parameter combination includes at least one of environmental parameters, air conditioning operating parameters, physiological state parameters, and living state parameters.

[0217] The determination module 302 is also used to determine the air conditioning control preference information of the target user based on the basic analysis data;

[0218] Storage module 309 is used to store air conditioning control preference information, which includes the target user's sensitivity to noise and / or the corresponding demand mapping relationship of the target user.

[0219] It is evident that implementation Figure 5 The described device can also determine the user's sensitivity to noise and demand mapping relationship based on the user's user characteristics and historical user data, which helps to improve the accuracy and reliability of the user's sensitivity to noise and demand mapping relationship.

[0220] Example 4

[0221] Please see Figure 6 , Figure 6 This is a schematic diagram of another environmental control device based on a smart device disclosed in an embodiment of the present invention. Figure 6 As shown, the environmental control device based on intelligent devices may include:

[0222] Memory 401 storing executable program code;

[0223] Processor 402 coupled to memory 401;

[0224] The processor 402 calls the executable program code stored in the memory 401 to execute the steps in the environment control method based on intelligent devices described in Embodiment 1 or Embodiment 2 of the present invention.

[0225] Example 5

[0226] This invention discloses a computer storage medium storing computer instructions. When these computer instructions are invoked, they are used to execute the steps in the environment control method based on intelligent devices described in Embodiment 1 or Embodiment 2 of this invention.

[0227] Example 6

[0228] This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the intelligent device-based environmental control method described in Embodiment 1 or Embodiment 2.

[0229] The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0230] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0231] Finally, it should be noted that the environmental control method and apparatus based on intelligent devices disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An environmental control method based on intelligent devices, characterized in that, The method includes: Obtain user information of the target user in the current area, including the target user's current location information and / or the target user's current sensitivity to noise; Based on the user information, determine the device control parameters that meet the user needs of the target user. The user needs include the target user’s current air supply distance requirements and / or air conditioning noise requirements for the target air conditioning device. The target air conditioning device includes at least one air conditioning device in the current area. The operating status of the target air conditioning equipment is controlled according to the equipment control parameters. Before determining the device control parameters that meet the user needs of the target user based on the user information, the method further includes: By tracking the environmental information of the current area and / or the real-time status information of the target user, the basis for determining the needs of the target user is obtained; The current user demand stage of the target user is determined based on the aforementioned demand determination criteria. Based on the user demand stage, update the user information and trigger the operation of determining the device control parameters that meet the user demand of the target user based on the user information; The step of determining the device control parameters that meet the user needs of the target user based on the user information includes: Based on the user information and the calculation algorithm corresponding to at least one target functional requirement that is related to the user information among the multiple functional requirements of the target user for the target air conditioning equipment, the equipment control parameters that meet the user requirements of the target user are determined. The equipment control parameters are used to control the working state of the target air conditioning equipment. The equipment control parameters include the fan speed of the target air conditioning equipment and / or the air outlet opening value of the target air conditioning equipment. The functional requirements also include the target user's air conditioning energy requirement for the target air conditioning device, whereby the air conditioning energy requirement represents the target user's temperature requirement, and the method further includes: Based on the target user's current user demand stage and the mapping relationship between the user demand stage and the air conditioning energy demand, determine the target air conditioning energy that is currently suitable for the target user; The equipment control parameters are updated based on the equipment control parameters, the target air conditioning energy, and the calculation algorithm corresponding to the air conditioning energy demand. The equipment control parameters also include the compressor power of the target air conditioning equipment. The user demand stages include very hot, medium hot, low hot, slightly hot, and no hot stages, which correspond to the different levels of demand for temperature or air conditioning cooling capacity from the target user.

2. The environmental control method based on intelligent devices according to claim 1, characterized in that, The step of updating the user information according to the user demand stage includes: Based on the user demand stage and the demand mapping relationship corresponding to the target user, determine the control information corresponding to at least one target functional demand that is related to the user information among the multiple functional demands of the target user for the target air conditioning equipment. The demand mapping relationship includes the mapping relationship between the user demand stage and each functional demand. Based on the control information corresponding to each target functional requirement, the sub-information matching the target functional requirement in the user information is updated.

3. The environmental control method based on intelligent devices according to claim 2, characterized in that, All the target functional requirements include the target user's requirements for the air supply distance and / or air conditioning noise of the target air conditioning equipment. The sub-information matching the air supply distance requirement in the user information includes the location information. The sub-information matching the air conditioning noise requirement in the user information includes the sensitivity information. The control information corresponding to each target functional requirement includes the control direction and control value corresponding to the target functional requirement. The control direction corresponding to each target functional requirement includes a positive control direction or a negative control direction. The positive control direction is used to indicate increasing the parameter value corresponding to the sub-information matching the target functional requirement, and the negative control direction is used to indicate decreasing the parameter value corresponding to the sub-information matching the target functional requirement. The step of updating the sub-information in the user information that matches the target functional requirement based on the control information corresponding to each target functional requirement includes: When the user information includes the location information, the target air supply distance currently adapted to the target user is determined based on the control information corresponding to the air supply distance requirement and the location information, and is used as the updated location information; When the user information includes the sensitivity information, the target air conditioner noise currently adapted to the target user is determined based on the control information corresponding to the air conditioner noise requirement and the sensitivity information, and this is used as the updated sensitivity information.

4. The environmental control method based on intelligent devices according to claim 1, characterized in that, The method further includes: The target number of the first type of parameters in the predetermined set of unknown parameters is compared with the preset threshold number to obtain the comparison result. The set of unknown parameters includes all unknown parameters in the calculation algorithm corresponding to all target functional requirements. All target functional requirements include functional requirements that are related to the user information among the multiple functional requirements of the target user for the target air conditioning equipment. Any two unknown parameters in the set of unknown parameters are different. Each unknown parameter is either a first type of parameter or a second type of parameter. The parameter value of each second type of parameter is determined by the parameter values ​​of one or more first type of parameters. And, the step of determining the device control parameters that meet the user requirements of the target user based on the user information and the calculation algorithm corresponding to at least one target functional requirement that is related to the user information among the multiple functional requirements of the target user for the target air conditioning device, includes: Based on the comparison results, the user information, and the calculation algorithms corresponding to all the target functional requirements, the device control parameters that meet the user requirements of the target user are determined.

5. The environmental control method based on intelligent devices according to claim 4, characterized in that, The step of determining the device control parameters that meet the user needs of the target user based on the comparison results, the user information, and the calculation algorithms corresponding to all the target functional requirements includes: When the comparison result indicates that the target quantity is greater than the preset threshold quantity, the parameter value range of the target parameters that match the user information is calculated according to the calculation algorithm corresponding to all the target functional requirements, and the target parameter value that matches the demand intensity of the user demand stage is determined from the parameter value range. The first control parameter that matches the user information is calculated according to the target parameter value, and is used as the equipment control parameter to meet the user demand of the target user. The target parameter includes the air volume parameter. When the comparison result indicates that the target quantity is not greater than the preset threshold quantity, a second control parameter matching the user information is calculated according to the calculation algorithm corresponding to all the target functional requirements, and used as the device control parameter to meet the user requirements of the target user.

6. The environmental control method based on intelligent devices according to claim 1, characterized in that, The method further includes: The user characteristics of the target user and / or the historical user data of the target user are tracked to obtain the basic analysis data of the target user. The historical user data includes feedback data of the target user collected in advance under multiple parameter combinations. Each parameter combination includes at least one of environmental parameters, air conditioning operating parameters, physiological state parameters, and living state parameters. Based on the basic analysis data, the air conditioning control preference information corresponding to the target user is determined and stored. The air conditioning control preference information includes the target user's sensitivity to noise and / or the target user's corresponding demand mapping relationship.

7. An environmental control device based on intelligent equipment, characterized in that, The device includes: The information acquisition module is used to acquire user information of target users in the current area, including the target user's current location information and / or the target user's current sensitivity to noise. The determination module is used to determine, based on the user information, the device control parameters that meet the user needs of the target user, wherein the user needs include the target user's current air supply distance requirements and / or air conditioning noise requirements for the target air conditioning device, and the target air conditioning device includes at least one air conditioning device in the current area; The equipment control module is used to control the operating status of the target air conditioning equipment according to the equipment control parameters; The first tracking module is used to track the environmental information of the current area and / or the real-time status information of the target user before the determining module determines the device control parameters that meet the user needs of the target user based on the user information, so as to obtain the demand determination basis corresponding to the target user; The determining module is further configured to determine the current user demand stage of the target user based on the demand determination criteria; The first update module is used to update the user information according to the user demand stage, and trigger the determination module to perform the operation of determining the device control parameters that meet the user demand of the target user based on the user information; The specific method by which the determining module determines the device control parameters that meet the user needs of the target user based on the user information includes: Based on the user information and the calculation algorithm corresponding to at least one target functional requirement that is related to the user information among the multiple functional requirements of the target user for the target air conditioning equipment, the equipment control parameters that meet the user requirements of the target user are determined. The equipment control parameters are used to control the working state of the target air conditioning equipment. The equipment control parameters include the fan speed of the target air conditioning equipment and / or the air outlet opening value of the target air conditioning equipment. Among them, all the functional requirements also include the target user's air conditioning energy requirement for the target air conditioning device, wherein the air conditioning energy requirement is used to represent the target user's temperature requirement; and the determining module is further used to determine the target air conditioning energy currently suitable for the target user based on the target user's current user demand stage and the mapping relationship between the user demand stage and the air conditioning energy requirement. The device further includes: The second update module is used to update the equipment control parameters according to the equipment control parameters, the target air conditioner energy, and the calculation algorithm corresponding to the air conditioner energy demand. The equipment control parameters also include the compressor power of the target air conditioner. The user demand stages include very hot, medium hot, low hot, slightly hot, and no hot stages, which correspond to the different levels of demand for temperature or air conditioning cooling capacity from the target user.

8. An environmental control device based on intelligent equipment, characterized in that, The device includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the environmental control method based on intelligent devices as described in any one of claims 1-6.

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