Intelligent air conditioner recommendation method and device based on environmental parameters

Abstract

The invention discloses an intelligent air conditioner recommendation method and device based on environmental parameters, and the method comprises the steps that an environmental parameter set of a target area is obtained, the target area is an area with an air conditioner installation requirement, and the environmental parameter set of the target area comprises at least one environmental parameter; according to the environment parameter set of the target area, the operation effect requirement needed to be met by air conditioner operation in the target area is analyzed; according to the operation effect requirement, an air conditioner configuration parameter set meeting the operation effect requirement is determined, and the air conditioner configuration parameter set comprises at least one air conditioner configuration parameter; and according to the air conditioner configuration parameter set, the model of a target air conditioner needing to be installed in the target area is determined. Therefore, the recommendation accuracy of the air conditioner product can be improved, and intelligent recommendation of the air conditioner product to the user is facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of information recommendation, and in particular to an intelligent air-conditioning recommendation method and device based on environmental parameters. Background Art

[0002] In modern life, air conditioners have gradually become an indispensable household appliance in every household due to their air conditioning function, providing users with a comfortable living environment.

[0003] In real life, users usually learn about the model, function, energy consumption and other information of air conditioners through product introductions, and select suitable air conditioners. However, there are a variety of air conditioner products on the market, and it is difficult for users to find the most preferred air conditioner product that meets the installation environment conditions from the air conditioner products on the market in a short time. Therefore, it is particularly important to propose a technical solution that can improve the accuracy of air conditioner product recommendations and realize intelligent recommendations of air conditioner products to users. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide an intelligent air-conditioning recommendation method and device based on environmental parameters, which can improve the accuracy of air-conditioning product recommendations and facilitate the intelligent recommendation of air-conditioning products to users.

[0005] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent air conditioning recommendation method based on environmental parameters, the method comprising:

[0006] Acquire an environmental parameter set of a target area, where the target area is an area where air conditioning installation is required, and the environmental parameter set of the target area includes at least one environmental parameter;

[0007] Analyzing the operating effect requirements that need to be met by the air conditioning operation in the target area according to the set of environmental parameters of the target area;

[0008] According to the operation effect requirement, determining an air conditioning configuration parameter set that meets the operation effect requirement, the air conditioning configuration parameter set including at least one air conditioning configuration parameter;

[0009] A target air conditioner model to be installed in the target area is determined according to the air conditioner configuration parameter set.

[0010] As an optional embodiment, in the first aspect of the present invention, the set of environmental parameters of the target area includes a combination of one or more of air parameters of the target area, space size parameters of the target area, house parameters of the house where the target area is located, geographical parameters of the target area, and site function parameters of the target area;

[0011] Among them, the air parameters of the target area include a combination of one or more of air temperature, air humidity, air particle concentration, air circulation direction and air circulation speed; the spatial size parameters of the target area include a combination of one or more of area area, area length, area width, area height and area shape; the house parameters of the house where the target area is located include a combination of one or more of the house orientation of the house where the target area is located, the house type of the house and the floor where the house is located; the geographical parameters of the target area include a combination of one or more of the geographical location of the target area, the climate information corresponding to the geographical location and the city information of the city where the target area is located.

[0012] As an optional implementation, in the first aspect of the present invention, analyzing the operating effect requirements to be met by the air conditioner operation in the target area according to the environmental parameter set of the target area includes:

[0013] estimating the air conditioning usage demand of target users in the target area according to the set of environmental parameters of the target area;

[0014] Determine the effect influence coefficient corresponding to each of the environmental parameters in the environmental parameter set of the target area, where the effect influence coefficient corresponding to each of the environmental parameters is used to indicate the degree of influence of the environmental parameter on the air conditioning operation effect when the air conditioner is running;

[0015] According to the air-conditioning usage requirements of the target users and the effect influence coefficients corresponding to all the environmental parameters, the operation effect requirements that need to be met by the air-conditioning operation in the target area are determined.

[0016] As an optional implementation manner, in the first aspect of the present invention, the determining the effect influence coefficient corresponding to each of the environmental parameters in the environmental parameter set of the target area includes:

[0017] When the set of environmental parameters of the target area includes the air parameter of the target area, determining an air change trend corresponding to the air parameter of the target area within a target time period, wherein the air change trend includes an air change sub-trend corresponding to each air sub-parameter;

[0018] For each of the air sub-parameters, a peak value corresponding to the air sub-parameter and a valley value corresponding to the air sub-parameter are screened out from the air parameters of the target area;

[0019] For each of the air sub-parameters, determining the effect influence sub-coefficient corresponding to the air sub-parameter according to the air change sub-trend corresponding to the air sub-parameter, the peak value corresponding to the air sub-parameter, and the valley value corresponding to the air sub-parameter;

[0020] The effect influence coefficient corresponding to the air parameter is determined according to the effect influence sub-coefficients corresponding to all the air sub-parameters.

[0021] As an optional embodiment, in the first aspect of the present invention, the method further comprises:

[0022] According to the environmental parameter set of the target area and the effect influence coefficients corresponding to all the environmental parameters, analyzing the influence correlation coefficient between each environmental parameter and the remaining environmental parameters on the air conditioning operation effect, wherein the influence correlation relationship includes a positive influence correlation coefficient or a negative influence correlation coefficient;

[0023] According to all the influence correlation coefficients, the environmental parameter set is divided into a plurality of environmental parameter subsets, each of the environmental parameter subsets includes at least two of the environmental parameters, and there are the same type of influence correlation coefficients between all the environmental parameters in each of the environmental parameter subsets and the influence correlation coefficients are within a preset correlation coefficient range;

[0024] Determining the impact association relationship between all the environmental parameters in each of the environmental parameter subsets according to the environmental parameter set and all the impact association coefficients;

[0025] The step of determining the operating effect requirements to be met by the air conditioner operation in the target area according to the air conditioner usage requirements of the target user and the effect influence coefficients corresponding to all the environmental parameters includes:

[0026] The operating effect requirements that need to be met by the air-conditioning operation in the target area are determined based on the air-conditioning usage requirements of the target users, the effect influence coefficients corresponding to all the environmental parameters, and the influence association relationships between all the environmental parameters.

[0027] As an optional implementation, in the first aspect of the present invention, the analysis of the influence correlation coefficient between each of the environmental parameters and the remaining environmental parameters on the air conditioning operation effect according to the environmental parameter set of the target area and the effect influence coefficients corresponding to all the environmental parameters includes:

[0028] When the set of environmental parameters of the target area includes house parameters of the house where the target area is located and geographical parameters of the target area, determining the orientation of the target house corresponding to the geographical location and the floor of the target house corresponding to the geographical location according to the geographical location of the target area, climate information corresponding to the geographical location and city information of the city where the target area is located;

[0029] Comparing the house orientations of the houses in the target area with the target house orientations corresponding to the geography to obtain the orientation difference;

[0030] Compare the floor where the house is located with the floor of the target house to obtain the difference in floor heights;

[0031] Determining the difference between the effect influence of the house parameter and the effect influence of the geographical parameter according to the effect influence coefficient corresponding to the house parameter and the effect influence coefficient corresponding to the geographical parameter;

[0032] An influence correlation coefficient between the house parameters of the house where the target area is located and the geographical parameters of the target area is determined according to the orientation difference, the floor height difference and the effect influence difference.

[0033] As an optional implementation manner, in the first aspect of the present invention, determining, according to the operation effect requirement, a set of air conditioning configuration parameters that meets the operation effect requirement includes:

[0034] estimating air conditioning operating parameters in the target area according to the set of environmental parameters of the target area and the operating effect requirements;

[0035] Inputting the air conditioning operation parameters and the environmental parameter set of the target area into the air conditioning operation simulation model to obtain the simulated operation effect corresponding to the virtual air conditioning in the air conditioning operation simulation model;

[0036] Determining the degree of completion of the requirement corresponding to the simulated operation effect according to the simulated operation effect and the operation effect requirement;

[0037] According to the air-conditioning operation parameters and the degree of fulfillment of the requirement, a set of air-conditioning configuration parameters that meets the operation effect requirement is determined.

[0038] The second aspect of the present invention discloses an intelligent air conditioning recommendation device based on environmental parameters, the device comprising:

[0039] An acquisition module, used to acquire an environmental parameter set of a target area, wherein the target area is an area where there is a demand for air conditioning installation, and the environmental parameter set of the target area includes at least one environmental parameter;

[0040] An analysis module, configured to analyze the operating effect requirements that need to be met by the air-conditioning operation in the target area according to the set of environmental parameters of the target area;

[0041] A determination module, configured to determine, according to the operation effect requirement, a set of air conditioning configuration parameters that meets the operation effect requirement, wherein the set of air conditioning configuration parameters includes at least one air conditioning configuration parameter;

[0042] The determination module is further used to determine a target air conditioner model to be installed in the target area according to the air conditioner configuration parameter set.

[0043] As an optional embodiment, in the second aspect of the present invention, the set of environmental parameters of the target area includes a combination of one or more of air parameters of the target area, space size parameters of the target area, house parameters of the house where the target area is located, geographic parameters of the target area, and site function parameters of the target area;

[0044] Among them, the air parameters of the target area include a combination of one or more of air temperature, air humidity, air particle concentration, air circulation direction and air circulation speed; the spatial size parameters of the target area include a combination of one or more of area area, area length, area width, area height and area shape; the house parameters of the house where the target area is located include a combination of one or more of the house orientation of the house where the target area is located, the house type of the house and the floor where the house is located; the geographical parameters of the target area include a combination of one or more of the geographical location of the target area, the climate information corresponding to the geographical location and the city information of the city where the target area is located.

[0045] As an optional implementation, in the second aspect of the present invention, the specific manner in which the analysis module analyzes the operating effect requirements to be met by the air conditioner operation in the target area according to the environmental parameter set of the target area includes:

[0046] estimating the air conditioning usage demand of target users in the target area according to the set of environmental parameters of the target area;

[0047] Determine the effect influence coefficient corresponding to each of the environmental parameters in the environmental parameter set of the target area, where the effect influence coefficient corresponding to each of the environmental parameters is used to indicate the degree of influence of the environmental parameter on the air conditioning operation effect when the air conditioner is running;

[0048] According to the air-conditioning usage requirements of the target users and the effect influence coefficients corresponding to all the environmental parameters, the operation effect requirements that need to be met by the air-conditioning operation in the target area are determined.

[0049] As an optional implementation, in the second aspect of the present invention, the specific manner in which the analysis module determines the effect influence coefficient corresponding to each of the environmental parameters in the environmental parameter set of the target area includes:

[0050] When the set of environmental parameters of the target area includes the air parameter of the target area, determining an air change trend corresponding to the air parameter of the target area within a target time period, wherein the air change trend includes an air change sub-trend corresponding to each air sub-parameter;

[0051] For each of the air sub-parameters, a peak value corresponding to the air sub-parameter and a valley value corresponding to the air sub-parameter are screened out from the air parameters of the target area;

[0052] For each of the air sub-parameters, determining the effect influence sub-coefficient corresponding to the air sub-parameter according to the air change sub-trend corresponding to the air sub-parameter, the peak value corresponding to the air sub-parameter, and the valley value corresponding to the air sub-parameter;

[0053] The effect influence coefficient corresponding to the air parameter is determined according to the effect influence sub-coefficients corresponding to all the air sub-parameters.

[0054] As an optional implementation, in the second aspect of the present invention, the analysis module is further used to analyze the influence correlation coefficient between each of the environmental parameters and the remaining environmental parameters on the air conditioning operation effect according to the environmental parameter set of the target area and the effect influence coefficients corresponding to all the environmental parameters, wherein the influence correlation relationship includes a positive influence correlation coefficient or a negative influence correlation coefficient;

[0055] Wherein, the device further comprises:

[0056] A division module, used for dividing the environmental parameter set into a plurality of environmental parameter subsets according to all the influence correlation coefficients, each of the environmental parameter subsets including at least two of the environmental parameters, and all the environmental parameters in each of the environmental parameter subsets have the same type of influence correlation coefficients and the influence correlation coefficients are within a preset correlation coefficient range;

[0057] The determination module is further used to determine the impact association relationship between all the environmental parameters in each of the environmental parameter subsets according to the environmental parameter set and all the impact association coefficients;

[0058] The specific manner in which the analysis module determines the operating effect requirements that the air conditioner operation needs to meet in the target area according to the air conditioner usage requirements of the target user and the effect influence coefficients corresponding to all the environmental parameters includes:

[0059] The operating effect requirements that need to be met by the air-conditioning operation in the target area are determined based on the air-conditioning usage requirements of the target users, the effect influence coefficients corresponding to all the environmental parameters, and the influence association relationships between all the environmental parameters.

[0060] As an optional implementation, in the second aspect of the present invention, the specific manner in which the analysis module analyzes the influence correlation coefficient between each of the environmental parameters and the remaining environmental parameters on the air conditioning operation effect according to the environmental parameter set of the target area and the effect influence coefficients corresponding to all the environmental parameters includes:

[0061] When the set of environmental parameters of the target area includes house parameters of the house where the target area is located and geographical parameters of the target area, determining the orientation of the target house corresponding to the geographical location and the floor of the target house corresponding to the geographical location according to the geographical location of the target area, climate information corresponding to the geographical location and city information of the city where the target area is located;

[0062] Comparing the house orientations of the houses in the target area with the target house orientations corresponding to the geography to obtain the orientation difference;

[0063] Compare the floor where the house is located with the floor of the target house to obtain the difference in floor heights;

[0064] Determining the difference between the effect influence of the house parameter and the effect influence of the geographical parameter according to the effect influence coefficient corresponding to the house parameter and the effect influence coefficient corresponding to the geographical parameter;

[0065] An influence correlation coefficient between the house parameters of the house where the target area is located and the geographical parameters of the target area is determined according to the orientation difference, the floor height difference and the effect influence difference.

[0066] As an optional implementation, in the second aspect of the present invention, the specific manner in which the determination module determines the set of air conditioning configuration parameters that meets the operation effect requirement according to the operation effect requirement includes:

[0067] estimating air conditioning operating parameters in the target area according to the set of environmental parameters of the target area and the operating effect requirements;

[0068] Inputting the air conditioning operation parameters and the environmental parameter set of the target area into the air conditioning operation simulation model to obtain the simulated operation effect corresponding to the virtual air conditioning in the air conditioning operation simulation model;

[0069] Determining the degree of completion of the requirement corresponding to the simulated operation effect according to the simulated operation effect and the operation effect requirement;

[0070] According to the air-conditioning operation parameters and the degree of fulfillment of the requirement, a set of air-conditioning configuration parameters that meets the operation effect requirement is determined.

[0071] The third aspect of the present invention discloses another intelligent air conditioning recommendation device based on environmental parameters, the device comprising:

[0072] A memory storing executable program code;

[0073] a processor coupled to the memory;

[0074] The processor calls the executable program code stored in the memory to execute the intelligent air-conditioning recommendation method based on environmental parameters disclosed in the first aspect of the present invention.

[0075] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the intelligent air conditioning recommendation method based on environmental parameters disclosed in the first aspect of the present invention.

[0076] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0077] In an embodiment of the present invention, an environmental parameter set of a target area is obtained, the target area is an area where there is a need for air conditioning installation, and the environmental parameter set of the target area includes at least one environmental parameter; according to the environmental parameter set of the target area, the operating effect requirements that need to be met by the air conditioning operation in the target area are analyzed; according to the operating effect requirements, an air conditioning configuration parameter set that meets the operating effect requirements is determined, and the air conditioning configuration parameter set includes at least one air conditioning configuration parameter; according to the air conditioning configuration parameter set, the target air conditioning model that needs to be installed in the target area is determined. It can be seen that the implementation of the present invention can analyze the operating effect requirements that need to be met by the air conditioner according to the environmental parameter set of the target area obtained, and determine the air conditioning configuration parameter set that can meet the requirements according to the operating effect requirements, so as to determine the target air conditioning model that needs to be installed in the target area according to the air conditioning configuration parameter set, and realize the intelligent recommendation of air conditioning based on environmental parameters, so as to recommend to the user the air conditioning model that meets the environmental conditions where the air conditioner needs to be installed, which can improve the accuracy of determining the operating effect requirements of the air conditioner, thereby improving the accuracy of determining the air conditioning configuration parameters, and then improving the accuracy of determining the air conditioning model, which is conducive to improving the recommendation accuracy of air conditioning products, and then realizing the recommendation of air conditioning products that meet the user's needs to the user, so as to improve the user's satisfaction with the use of the air conditioner, and then help improve the user's living comfort. BRIEF DESCRIPTION OF THE DRAWINGS

[0078] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0079] Figure 1 It is a schematic diagram of a scenario to which an intelligent air-conditioning recommendation method based on environmental parameters disclosed in an embodiment of the present invention is applicable;

[0080] Figure 2 It is a flow chart of an intelligent air-conditioning recommendation method based on environmental parameters disclosed in an embodiment of the present invention;

[0081] Figure 3 It is a flowchart of another air-conditioning intelligent recommendation method based on environmental parameters disclosed in an embodiment of the present invention;

[0082] Figure 4 It is a structural schematic diagram of an intelligent air-conditioning recommendation device based on environmental parameters disclosed in an embodiment of the present invention;

[0083] Figure 5 It is a structural schematic diagram of another intelligent air-conditioning recommendation device based on environmental parameters disclosed in an embodiment of the present invention;

[0084] Figure 6 It is a structural schematic diagram of another air-conditioning intelligent recommendation device based on environmental parameters disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0085] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0086] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0087] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0088] The present invention discloses an intelligent air conditioner recommendation method and device based on environmental parameters, which can analyze the operating effect requirements that the air conditioner needs to meet according to the acquired environmental parameter set of the target area, and determine the air conditioner configuration parameter set that can meet the requirements according to the operating effect requirements, so as to determine the target air conditioner model that needs to be installed in the target area according to the air conditioner configuration parameter set, and realize the intelligent recommendation of air conditioners based on environmental parameters, so as to recommend to users the air conditioner models that meet the environmental conditions where the air conditioner needs to be installed, and can improve the accuracy of determining the operating effect requirements of the air conditioner, thereby improving the accuracy of determining the air conditioner configuration parameters, and then improving the accuracy of determining the air conditioner model, which is conducive to improving the recommendation accuracy of air conditioner products, and then realizing the recommendation of air conditioner products that meet the user's needs to users, so as to improve the user's satisfaction with the use of the air conditioner, and then help improve the user's living comfort. The following are detailed descriptions.

[0089] In order to better understand the method and device for intelligently recommending air conditioners based on environmental parameters described in the present invention, the scenario to which the method is applicable is first described. The scenario to which the method is applicable is specifically a scenario where there is a demand for air conditioner recommendation, such as a scenario where there is a demand for air conditioner installation. Specifically, taking the scenario where there is a demand for air conditioner installation as an example, the scenario can be as follows: Figure 1 As shown, Figure 1 Schematic diagram of a scenario to which an intelligent air conditioning recommendation method based on environmental parameters disclosed in an embodiment of the present invention is applicable. Figure 1 As shown, the scene diagram takes the living room area in a scene where there is a need for air conditioning installation as an example. The living room area may include doors and windows (such as windows); further, the area may also include users, furniture (such as sofas); further, the area may also include an air conditioner to be installed, and the air conditioner model corresponding to the air conditioner to be installed is the determined target air conditioner model.

[0090] Furthermore, the living room area is determined as a target area where there is a need for air conditioning installation, and the target air conditioner model can be determined by performing the following operations: obtaining an environmental parameter set for the target area, the target area is an area where there is a need for air conditioning installation, and the environmental parameter set for the target area includes at least one environmental parameter; based on the environmental parameter set for the target area, analyzing the operating effect requirements that need to be met for the operation of the air conditioner in the target area; based on the operating effect requirements, determining an air conditioning configuration parameter set that meets the operating effect requirements, the air conditioning configuration parameter set includes at least one air conditioning configuration parameter; based on the air conditioning configuration parameter set, determining the target air conditioner model to be installed in the target area.

[0091] It should be noted that Figure 1The scene diagram shown is only for showing one scene to which the air conditioner intelligent recommendation method based on environmental parameters is applicable, and it is not used to limit other scenes to which the air conditioner intelligent recommendation method and device based on environmental parameters are applicable, and Figure 1 The scene diagram shown does not limit the layout, space dimensions, apartment type, etc. of the living room area.

[0092] The above describes an example of one scenario to which the method and device for intelligently recommending air conditioners based on environmental parameters are applicable. The following describes the method and device for intelligently recommending air conditioners based on environmental parameters in detail.

[0093] Embodiment 1

[0094] See also Figure 2 , Figure 2 : is a flow chart of an intelligent air conditioning recommendation method based on environmental parameters disclosed in an embodiment of the present invention. Figure 2 The described air conditioner intelligent recommendation method based on environmental parameters can be applied to an air conditioner intelligent recommendation device based on environmental parameters, which may include a recommendation device, a recommendation terminal, a recommendation system and a server, wherein the server includes a local server or a cloud server, and can also be applied to a smart home platform or a smart home system, and can also be applied to an air conditioner intelligent recommendation platform or an air conditioner intelligent recommendation application, which is not limited in the embodiments of the present invention. Figure 2 As shown, the air conditioning intelligent recommendation method based on environmental parameters may include the following operations:

[0095] 101. Obtain a set of environmental parameters of the target area.

[0096] In the embodiment of the present invention, the target area is an area where there is a demand for air conditioning installation, and the environmental parameter set of the target area includes at least one environmental parameter.

[0097] In an embodiment of the present invention, optionally, the environmental parameter set of the target area includes one or more combinations of air parameters of the target area, spatial dimension parameters of the target area, house parameters of the house where the target area is located, geographical parameters of the target area and site function parameters of the target area; wherein the air parameters of the target area include one or more combinations of air temperature, air humidity, air particle concentration, air circulation direction and air circulation speed; the spatial dimension parameters of the target area include one or more combinations of area area, area length, area width, area height and area shape; the house parameters of the house where the target area is located include one or more combinations of the house orientation of the house where the target area is located, the house type of the house and the floor where the house is located; the geographical parameters of the target area include one or more combinations of the geographical location of the target area, the climate information corresponding to the geographical location and the city information of the city where the target area is located.

[0098] Exemplarily, the site function parameters of the target area may include one of residential use, sports use, commercial use and teaching use; wherein residential use may include a combination of one or more of a bedroom, a kitchen, a living room, a washroom and a study; sports use may include a gymnasium, exemplarily, such as: a swimming pool, a badminton hall, a basketball hall, etc.; commercial use may include a shopping mall or an office building; teaching use may include a classroom, a school, a children's palace, etc., which is not limited in the embodiments of the present invention.

[0099] In an embodiment of the present invention, this optional embodiment can obtain various types of specific environmental parameters of the target area, such as: air parameters, space dimension parameters, house parameters, geographical parameters and site function parameters, etc., which can improve the accuracy, flexibility and comprehensiveness of obtaining environmental parameters, thereby facilitating improving the accuracy of analysis of operating effect requirements, and further facilitating improving the accuracy of air conditioning selection.

[0100] 102. Based on the set of environmental parameters of the target area, analyze the operating performance requirements that need to be met by the air conditioning operation in the target area.

[0101] In an embodiment of the present invention, the operating effect requirements may include operating function requirements and effect parameter requirements corresponding to each function requirement, wherein the operating function requirements may include a combination of one or more of cooling requirements, heating requirements, dehumidification requirements and air purification requirements.

[0102] 103. According to the operation effect requirements, determine a set of air conditioning configuration parameters that meet the operation effect requirements.

[0103] In an embodiment of the present invention, the air conditioning configuration parameter set includes at least one air conditioning configuration parameter; wherein the air conditioning configuration parameter may include a combination of one or more of the air conditioning function, air conditioning cooling (heating) capacity, specific gear corresponding to the air conditioning function, operating effect corresponding to the air conditioning function, air conditioning power, air conditioning energy consumption and expected service life of the air conditioning.

[0104] 104. Determine a target air conditioner model to be installed in the target area according to the air conditioner configuration parameter set.

[0105] In the embodiment of the present invention, the target air-conditioning model may be recommended to the user as a recommended air-conditioning model, so as to recommend to the user an air-conditioning model that matches the environmental conditions of the target area.

[0106] It can be seen that the method described in the embodiment of the present invention can analyze the operating effect requirements that the air conditioner needs to meet based on the acquired environmental parameter set of the target area, and determine the air conditioner configuration parameter set that can meet the requirement based on the operating effect requirement, so as to determine the target air conditioner model that needs to be installed in the target area based on the air conditioner configuration parameter set, thereby realizing intelligent recommendation of air conditioners based on environmental parameters, so as to recommend to users air conditioner models that meet the environmental conditions where the air conditioner needs to be installed, which can improve the accuracy of determining the operating effect requirements of the air conditioner, thereby improving the accuracy of determining the air conditioner configuration parameters, and further improving the accuracy of determining the air conditioner model, which is conducive to improving the recommendation accuracy of air conditioning products, and further realizing the recommendation of air conditioning products that meet user needs to users, so as to improve user satisfaction with the use of air conditioners, and further help improve the user's living comfort.

[0107] In an optional embodiment, analyzing the operating effect requirements to be met by the air conditioner operation in the target area according to the environmental parameter set of the target area may include the following operations:

[0108] According to the set of environmental parameters of the target area, estimate the air conditioning usage demand of the target users in the target area;

[0109] Determine the effect influence coefficient corresponding to each environmental parameter in the environmental parameter set of the target area, where the effect influence coefficient corresponding to each environmental parameter is used to indicate the degree of influence of the environmental parameter on the air conditioning operation effect when the air conditioner is running;

[0110] Based on the air conditioning usage needs of the target users and the effect influence coefficients corresponding to all environmental parameters, determine the operating effect requirements that must be met for air conditioning operation in the target area.

[0111] Among them, the effect influence coefficient corresponding to each environmental parameter may include the influence coefficient of each environmental parameter on each operating function requirement and / or the influence coefficient of each environmental parameter on each effect parameter requirement corresponding to each function requirement, which is not limited in the embodiment of the present invention; the effect influence coefficient corresponding to each environmental parameter may be a positive influence coefficient or a reverse influence coefficient.

[0112] For example, assuming that the environmental parameter set of the target area includes that the air temperature in summer can reach 35°C, the air humidity can reach 80%, and the air temperature in winter can reach 15°C, and the area of ​​the target area is 20㎡, the house in the target area is located on the 2nd floor, and the geographical location of the target area is a coastal location, then it can be estimated that the air-conditioning usage needs of the target users include at least cooling and dehumidification, and then the impact of each environmental parameter on the air-conditioning operation effect when the air-conditioning is running is estimated. For example: using the air-conditioning cooling function in the target area may reduce the cooling effect of the air-conditioning due to the high ambient temperature in the target area. That is, compared with areas with pleasant climates, the air-conditioning in the target area is required to be cooled based on a lower air outlet temperature and a faster cooling speed.

[0113] It can be seen that this optional embodiment can estimate the user's air-conditioning usage needs based on the set of environmental parameters of the target environment, and determine the effect influence coefficient corresponding to each environmental parameter, and determine the operating effect requirements that need to be met for air-conditioning operation in the target area based on the user's air-conditioning usage needs and the effect influence coefficients corresponding to all environmental parameters, thereby realizing the intelligent determination of air-conditioning operating effect requirements based on environmental parameters, which can improve the accuracy of determining user usage needs, and at the same time improve the accuracy of determining factors affecting air-conditioning operating effects, thereby improving the accuracy of determining operating effect requirements, and then improving the matching degree between operating effect requirements and user needs, which is conducive to recommending air-conditioning products that meet user needs to users.

[0114] In this optional embodiment, optionally, determining the effect influence coefficient corresponding to each environmental parameter in the environmental parameter set of the target area may include the following operations:

[0115] When the set of environmental parameters of the target area includes an air parameter of the target area, determining an air change trend corresponding to the air parameter of the target area within a target time period, where the air change trend includes an air change sub-trend corresponding to each air sub-parameter;

[0116] For each air sub-parameter, a peak value and a valley value corresponding to the air sub-parameter are screened out from the air parameters of the target area;

[0117] For each air sub-parameter, determine the effect influence sub-coefficient corresponding to the air sub-parameter according to the air change sub-trend corresponding to the air sub-parameter, the peak value corresponding to the air sub-parameter, and the valley value corresponding to the air sub-parameter;

[0118] According to the effect influence sub-coefficients corresponding to all air sub-parameters, the effect influence coefficient corresponding to the air parameter is determined.

[0119] The target duration segment may be a historical duration segment, a current duration segment including the current moment, or a certain duration segment after the current moment, which is not limited in the embodiment of the present invention.

[0120] Exemplarily, assuming that the target time period is the past year, the air temperature change trend, air humidity change trend, air particle concentration change trend, air circulation direction change trend and air circulation speed change trend corresponding to the target area within one year are determined, and the peak and valley values ​​of each air sub-parameter are screened out. For example: the peak value of the air temperature is 35°C, and the valley value of the air temperature is 15°C. Then, based on the air temperature change trend, temperature peak value and temperature valley value, it can be determined that the effect influence sub-coefficient corresponding to the air temperature is the reverse influence coefficient of the cooling effect in the air-conditioning operation effect.

[0121] It can be seen that this optional embodiment can also determine the air change trend corresponding to the air parameters within the target time period, and screen out the peak and valley values ​​corresponding to each air sub-parameter, and determine the effect influence sub-coefficient corresponding to the air sub-parameter according to the air change sub-trend, peak and valley values ​​corresponding to each air sub-parameter, and determine the effect influence coefficient corresponding to the air parameter according to all effect influence sub-coefficients, thereby realizing intelligent analysis of the influence of air parameters on the air conditioning operation effect based on the data characteristics of the air parameters, improving the analysis accuracy of the environmental parameter data characteristics, thereby improving the determination accuracy of the effect influence coefficient, and then helping to improve the determination accuracy of the operation effect requirements, so as to improve the determination accuracy of the air conditioning configuration parameters.

[0122] In this optional embodiment, optionally, the method may further include the following operations:

[0123] According to the environmental parameter set of the target area and the effect influence coefficients corresponding to all environmental parameters, the influence correlation coefficient between each environmental parameter and the remaining environmental parameters on the air conditioning operation effect is analyzed, and the influence correlation relationship includes a positive influence correlation coefficient or a negative influence correlation coefficient;

[0124] According to all the impact correlation coefficients, the environmental parameter set is divided into multiple environmental parameter subsets, each environmental parameter subset includes at least two environmental parameters, and there are the same type of impact correlation coefficients between all environmental parameters in each environmental parameter subset and the impact correlation coefficient is within a preset correlation coefficient range;

[0125] Determine the impact correlation relationship between all environmental parameters in each environmental parameter subset according to the environmental parameter set and all impact correlation coefficients;

[0126] Among them, according to the air conditioning usage requirements of the target users and the effect influence coefficients corresponding to all environmental parameters, the operation effect requirements that the air conditioning operation needs to meet in the target area are determined, which may include the following operations:

[0127] Based on the air conditioning usage needs of the target users, the effect influence coefficients corresponding to all environmental parameters and the influence correlation relationship between all environmental parameters, the operating effect requirements that need to be met by the air conditioning operation in the target area are determined.

[0128] Among them, the influence association relationship between all environmental parameters in each environmental parameter subset may include a positive influence association relationship or a negative influence association relationship, wherein the positive influence association relationship is used to indicate that the effect influence coefficients between the environmental parameters on a certain operating effect are of the same type.

[0129] For example, assuming that the effect influence coefficient corresponding to the house parameters is the reverse influence coefficient of the dehumidification effect in the air-conditioning operation effect, and the effect influence coefficient corresponding to the geographical parameters is also the reverse influence coefficient of the dehumidification effect in the air-conditioning operation effect, it can be analyzed that the influence correlation coefficient between the house parameters and the geographical parameters on the dehumidification effect is a positive influence correlation coefficient. If there is only a positive influence correlation coefficient between the house parameters and the geographical parameters in the environmental parameter set regarding the dehumidification effect, then a positive influence correlation relationship regarding the dehumidification effect is established between the house parameters and the geographical parameters.

[0130] It can be seen that this optional embodiment can also determine the influence correlation coefficient between multiple environmental parameters on the air-conditioning operation effect according to the environmental parameter set and the effect influence coefficient corresponding to the environmental parameters, divide the environmental parameter set into multiple environmental parameter subsets according to the influence correlation coefficient, and establish an influence correlation relationship for the environmental parameters in each environmental parameter subset, as well as determine the operation effect requirement according to the air-conditioning use demand, all effect influence coefficients and all influence correlation relationships, thereby realizing intelligent analysis of the influence correlation relationship between multiple environmental parameters, and being able to improve the accuracy of the analysis of the influence of environmental parameters on the air-conditioning operation effect, thereby being conducive to improving the accuracy of determining the operation effect requirement, and further being conducive to improving the accuracy of determining the air-conditioning configuration parameters.

[0131] In this optional embodiment, further optionally, according to the environmental parameter set of the target area and the effect influence coefficients corresponding to all environmental parameters, analyzing the influence correlation coefficient between each environmental parameter and the remaining environmental parameters on the air conditioning operation effect may include the following operations:

[0132] When the set of environmental parameters of the target area includes house parameters of the house where the target area is located and geographic parameters of the target area, determining the orientation of the target house corresponding to the geographic location and the floor of the target house corresponding to the geographic location according to the geographic location of the target area, climate information corresponding to the geographic location, and city information of the city where the target area is located;

[0133] Compare the house orientations of the houses in the target area with the orientations of the geographically corresponding target houses to obtain the orientation difference;

[0134] Compare the floor of the house with the floor of the target house to get the height difference between the floors;

[0135] Determine the difference between the effect of the house parameter and the effect of the geographical parameter according to the effect of the house parameter and the effect of the geographical parameter;

[0136] According to the orientation difference, floor height difference and effect influence difference, the influence correlation coefficient between the house parameters of the target area and the geographical parameters of the target area is determined.

[0137] For example, if the determined target house orientation is north facing south and the target house floor is the 6th floor, while the house orientation corresponding to the target area is east facing west and the house in the target area is on the 2nd floor, the orientation difference and the floor height difference are obtained by comparison. In addition, because the analysis shows that the effect influence coefficient corresponding to the house parameters is the reverse influence coefficient of the dehumidification effect in the air-conditioning operation effect, and the effect influence coefficient corresponding to the geographical parameters is also the reverse influence coefficient of the dehumidification effect in the air-conditioning operation effect, the effect influence difference between the house parameters and the geographical parameters on the dehumidification effect is within the preset difference range. Combined with the above difference data, it can be analyzed that the influence correlation coefficient between the house parameters and the geographical parameters on the dehumidification effect is a positive influence correlation coefficient.

[0138] It can be seen that this optional embodiment can also determine the target house orientation and target house floor corresponding to the geographical location according to the geographical parameters of the target area, and compare the house orientation corresponding to the target area with the target house orientation and the floor corresponding to the target area with the target house floor, respectively, to obtain the orientation difference and the floor height difference, and determine the effect influence difference between the house parameters and the geographical parameters according to the effect influence coefficients corresponding to the house parameters and the geographical parameters respectively, and determine the influence correlation coefficient between the house parameters and the geographical parameters according to the orientation difference, the floor height difference and the effect influence difference, which can improve the analysis accuracy of the influence correlation coefficient between multiple environmental parameters, thereby improving the analysis accuracy of the impact of environmental parameters on the air-conditioning operation effect, which is beneficial to improve the accuracy of determining the operation effect requirements.

[0139] Embodiment 2

[0140] See also Figure 3 , Figure 3 : is a flow chart of an intelligent air conditioning recommendation method based on environmental parameters disclosed in an embodiment of the present invention. Figure 3 The described air conditioner intelligent recommendation method based on environmental parameters can be applied to an air conditioner intelligent recommendation device based on environmental parameters, which may include a recommendation device, a recommendation terminal, a recommendation system and a server, wherein the server includes a local server or a cloud server, and can also be applied to a smart home platform or a smart home system, and can also be applied to an air conditioner intelligent recommendation platform or an air conditioner intelligent recommendation application, which is not limited in the embodiments of the present invention. Figure 3 As shown, the air conditioning intelligent recommendation method based on environmental parameters may include the following operations:

[0141] 201. Obtain a set of environmental parameters of a target area.

[0142] 202. Analyze the operating effect requirements that need to be met by the air conditioning operation in the target area based on the environmental parameter set of the target area.

[0143] 203. According to the environmental parameter set and operation effect requirements of the target area, estimate the air conditioning operation parameters in the target area.

[0144] In an embodiment of the present invention, the air conditioning operation parameters may include a combination of one or more of air conditioning operation energy consumption parameters, air conditioning outlet wind speed parameters, air conditioning outlet temperature parameters, air conditioning outlet humidity parameters, outlet air quality parameters, air conditioning outlet volume parameters, air conditioning outlet range parameters, air conditioning operation noise parameters and air conditioning operation power consumption parameters.

[0145] 204. Input the air conditioning operation parameters and the environmental parameter set of the target area into the air conditioning operation simulation model to obtain the simulated operation effect corresponding to the virtual air conditioning in the air conditioning operation simulation model.

[0146] In the embodiment of the present invention, the air conditioning operation simulation model may be a calculation model for simulating the air conditioning operation effect, or may be an application program for simulating the air conditioning operation effect, which is not limited in the embodiment of the present invention.

[0147] 205. According to the simulation operation effect and the operation effect requirements, determine the degree of completion of the requirements corresponding to the simulation operation effect.

[0148] 206. Determine a set of air conditioning configuration parameters that meet the operating effect requirements based on the air conditioning operating parameters and the required completion degree.

[0149] In the embodiment of the present invention, the estimated air-conditioning operating parameters in the target area may be corrected based on the demand completion degree, and a set of air-conditioning configuration parameters that meet the operation effect requirements may be determined based on the corrected air-conditioning operating parameters.

[0150] 207. Determine a target air conditioner model to be installed in the target area according to the air conditioner configuration parameter set.

[0151] In the embodiment of the present invention, for other detailed descriptions of step 201-step 202 and step 207, please refer to the detailed description of step 101-step 102 and step 104 in the first embodiment, and the embodiment of the present invention will not be repeated.

[0152] It can be seen that the method described in the embodiment of the present invention can analyze the operating effect requirements that the air conditioner needs to meet based on the acquired environmental parameter set of the target area, and determine the air conditioner configuration parameter set that can meet the requirement based on the operating effect requirement, so as to determine the target air conditioner model that needs to be installed in the target area based on the air conditioner configuration parameter set, thereby realizing intelligent recommendation of air conditioners based on environmental parameters, so as to recommend to users air conditioner models that meet the environmental conditions where the air conditioner needs to be installed, which can improve the accuracy of determining the operating effect requirements of the air conditioner, thereby improving the accuracy of determining the air conditioner configuration parameters, and further improving the accuracy of determining the air conditioner model, which is conducive to improving the recommendation accuracy of air conditioning products, and further realizing the recommendation of air conditioning products that meet user needs to users, so as to improve user satisfaction with the use of air conditioners, and further help improve the user's living comfort. In addition, the air-conditioning operating parameters can be estimated based on the environmental parameter set and the operating effect requirements, and the air-conditioning operating parameters and the environmental parameter set can be input into the air-conditioning operation simulation model to obtain the simulated operating effect corresponding to the virtual air-conditioner, determine the degree of completion of the simulated operating effect compared to the operating effect requirements, and determine the air-conditioning configuration parameter set that meets the operating effect requirements based on the air-conditioning operating parameters and the demand completion, thereby realizing the intelligent simulation of the air-conditioning operation scenario, which can improve the simulation accuracy of the simulated operating effect, thereby improving the accuracy of determining the air-conditioning configuration parameters, and then helping to improve the accuracy of determining the air-conditioning model, so as to improve the accuracy of recommending air-conditioning products.

[0153] In an optional embodiment, determining the target air conditioner model to be installed in the target area according to the air conditioner configuration parameter set may include the following operations:

[0154] Obtain multiple candidate air conditioner models and a set of configuration parameters corresponding to each candidate air conditioner model;

[0155] Determine the configuration matching degree corresponding to each candidate air conditioner model according to the air conditioner configuration parameter set and the configuration parameter sets corresponding to all candidate air conditioner models;

[0156] A candidate air-conditioning model having a configuration matching degree higher than or equal to a preset configuration matching degree is selected from all candidate air-conditioning models as a target air-conditioning model to be installed in a target area.

[0157] It can be seen that this optional embodiment can determine the configuration matching degree corresponding to each candidate air-conditioning model according to the air-conditioning configuration parameter set and the configuration parameter set corresponding to all candidate air-conditioning models, and screen out the target air-conditioning model from all candidate air-conditioning models according to the configuration matching degree, which can improve the screening accuracy of air-conditioning models, thereby improving the accuracy of determining air-conditioning models, which is conducive to improving the recommendation accuracy of air-conditioning products.

[0158] In this optional embodiment, optionally, obtaining multiple candidate air conditioner models may include the following operations:

[0159] Obtain at least one smart device and the brand of each smart device in the target area;

[0160] Statistics on the usage of equipment of each brand in the target area, including one or more combinations of the number of equipment, equipment age, equipment usage frequency and equipment usage satisfaction;

[0161] Filter out the target brand from all brands corresponding to the target area based on the device usage of all brands;

[0162] Get candidate air conditioner models corresponding to the target brand.

[0163] For example, if there are smart devices of brand A and brand B in the target area, and the number of brand A devices is greater than the number of brand B devices, and the device usage satisfaction of brand A is higher than the device usage satisfaction of brand B, then brand A is determined as the target brand, and the target air conditioner model is screened out from the air conditioner models of brand A.

[0164] It can be seen that this optional embodiment can also filter out the target brand and obtain the candidate air-conditioning models corresponding to the target brand based on the statistics of device usage corresponding to the brand of smart devices in the target area, which can improve the accuracy of determining the corresponding candidate air-conditioning models, thereby facilitating improving the matching degree of subsequent recommended air-conditioning models with the device control of other smart devices in the target area, and further facilitating improving user satisfaction with the use of the recommended air-conditioning.

[0165] In another optional embodiment, the method may further include the following operations:

[0166] Detect whether there is an installed air conditioner in the target area;

[0167] When it is detected that there is an installed air conditioner in the target area, the current operation effect corresponding to the installed air conditioner is analyzed according to the air conditioning configuration parameters of the installed air conditioner;

[0168] Compare the operating effect requirements with the current operating effects of the installed air conditioners to obtain the unfulfilled requirements of the installed air conditioners regarding the operating effect requirements;

[0169] According to the operating effect requirements, unfulfilled requirements and the current operating effects corresponding to the installed air conditioners, the operating effect requirements that need to be met for the air conditioning operation in the target area are corrected.

[0170] For example, if the operating effect requirement is to reduce the air temperature to 25°C within 10 minutes, and the installed air conditioner can only reduce the air temperature to 25°C within 15 minutes, the operating effect requirement becomes that the air temperature must be reduced to 25°C within 10 minutes while the air conditioner to be installed needs to operate together with the installed air conditioner.

[0171] It can be seen that this optional embodiment can also analyze the current operating effect corresponding to the installed air conditioner according to the air-conditioning configuration parameters of the installed air conditioner when it is detected that there is an installed air conditioner in the target area, and determine the unfulfilled requirements of the installed air conditioner regarding the operating effect requirements from the operating effect requirements, so as to correct the operating effect requirements of the target area according to the unfulfilled requirements, thereby realizing intelligent adjustment of the operating effect requirements of the target area based on the operating effect of the installed air conditioner, which can improve the correction accuracy of the operating effect requirements, thereby facilitating improving the determination accuracy of the air-conditioning configuration parameters, and further facilitating improving the determination accuracy of the air-conditioning model.

[0172] Embodiment 3

[0173] See also Figure 4 , Figure 4 1 is a schematic diagram of the structure of an intelligent air conditioning recommendation device based on environmental parameters disclosed in an embodiment of the present invention. Figure 4 The described air conditioning intelligent recommendation device based on environmental parameters may include a recommendation device, a recommendation terminal, a recommendation system and a server, wherein the server includes a local server or a cloud server, and the device may be applied to a smart home platform or a smart home system, which is not limited in the embodiment of the present invention. Figure 4 As shown, the air conditioning intelligent recommendation device based on environmental parameters may include:

[0174] An acquisition module 301 is used to acquire an environmental parameter set of a target area, where the target area is an area where air conditioning installation is required, and the environmental parameter set of the target area includes at least one environmental parameter;

[0175] An analysis module 302 is used to analyze the operating effect requirements that need to be met by the air-conditioning operation in the target area according to the environmental parameter set of the target area;

[0176] A determination module 303, configured to determine, according to an operation effect requirement, an air conditioning configuration parameter set that meets the operation effect requirement, wherein the air conditioning configuration parameter set includes at least one air conditioning configuration parameter;

[0177] The determination module 303 is further used to determine the target air conditioner model to be installed in the target area according to the air conditioner configuration parameter set.

[0178] It can be seen that the device described in the embodiment of the present invention can analyze the operating effect requirements that the air conditioner needs to meet based on the acquired environmental parameter set of the target area, and determine the air conditioner configuration parameter set that can meet the requirement based on the operating effect requirements, so as to determine the target air conditioner model that needs to be installed in the target area based on the air conditioner configuration parameter set, thereby realizing intelligent recommendation of air conditioners based on environmental parameters, so as to recommend to users air conditioner models that meet the environmental conditions where the air conditioner needs to be installed, which can improve the accuracy of determining the operating effect requirements of the air conditioner, thereby improving the accuracy of determining the air conditioner configuration parameters, and then improving the accuracy of determining the air conditioner model, which is conducive to improving the recommendation accuracy of air conditioning products, and then realizing the recommendation of air conditioning products that meet user needs to users, so as to improve user satisfaction with the use of air conditioners, and then help improve the user's living comfort.

[0179] In an optional embodiment, the set of environmental parameters of the target area includes a combination of one or more of air parameters of the target area, space size parameters of the target area, house parameters of the house where the target area is located, geographic parameters of the target area, and site function parameters of the target area;

[0180] Among them, the air parameters of the target area include a combination of one or more of air temperature, air humidity, air particle concentration, air circulation direction and air circulation speed; the spatial size parameters of the target area include a combination of one or more of area, length, width, height and shape; the house parameters of the house where the target area is located include a combination of one or more of the house orientation, house type and floor level of the house; the geographical parameters of the target area include a combination of one or more of the geographical location of the target area, the climate information corresponding to the geographical location and the city information of the city where the target area is located.

[0181] It can be seen that the device described in the implementation of this optional embodiment can obtain various types of specific environmental parameters of the target area, such as: air parameters, space dimension parameters, house parameters, geographical parameters and site function parameters, etc., which can improve the accuracy, flexibility and comprehensiveness of the acquisition of environmental parameters, thereby facilitating the improvement of the accuracy of the analysis of operating effect requirements, and further facilitating the improvement of the accuracy of air conditioner selection.

[0182] In this optional embodiment, the specific manner in which the analysis module 302 analyzes the operating effect requirements to be met by the air-conditioning operation in the target area according to the environmental parameter set of the target area may include:

[0183] According to the set of environmental parameters of the target area, estimate the air conditioning usage demand of the target users in the target area;

[0184] Determine the effect influence coefficient corresponding to each environmental parameter in the environmental parameter set of the target area, where the effect influence coefficient corresponding to each environmental parameter is used to indicate the degree of influence of the environmental parameter on the air conditioning operation effect when the air conditioner is running;

[0185] Based on the air conditioning usage needs of the target users and the effect influence coefficients corresponding to all environmental parameters, determine the operating effect requirements that must be met for air conditioning operation in the target area.

[0186] It can be seen that the device described in the implementation of this optional embodiment can also estimate the user's air-conditioning usage needs based on the set of environmental parameters of the target environment, and determine the effect influence coefficient corresponding to each environmental parameter, and determine the operating effect requirements that need to be met for air-conditioning operation in the target area based on the user's air-conditioning usage needs and the effect influence coefficients corresponding to all environmental parameters, thereby realizing the intelligent determination of air-conditioning operating effect requirements based on environmental parameters, which can improve the accuracy of determining user usage needs, and at the same time improve the accuracy of determining factors affecting air-conditioning operating effects, thereby improving the accuracy of determining operating effect requirements, and then improving the matching degree between operating effect requirements and user needs, which is conducive to recommending air-conditioning products that meet user needs to users.

[0187] In this optional embodiment, optionally, the specific manner in which the analysis module 302 determines the effect influence coefficient corresponding to each environmental parameter in the environmental parameter set of the target area may include:

[0188] When the set of environmental parameters of the target area includes an air parameter of the target area, determining an air change trend corresponding to the air parameter of the target area within a target time period, where the air change trend includes an air change sub-trend corresponding to each air sub-parameter;

[0189] For each air sub-parameter, a peak value and a valley value corresponding to the air sub-parameter are screened out from the air parameters of the target area;

[0190] For each air sub-parameter, determine the effect influence sub-coefficient corresponding to the air sub-parameter according to the air change sub-trend corresponding to the air sub-parameter, the peak value corresponding to the air sub-parameter, and the valley value corresponding to the air sub-parameter;

[0191] According to the effect influence sub-coefficients corresponding to all air sub-parameters, the effect influence coefficient corresponding to the air parameter is determined.

[0192] It can be seen that the device described in the implementation of this optional embodiment can also determine the air change trend corresponding to the air parameter within the target time period, and screen out the peak and valley values ​​corresponding to each air sub-parameter, determine the effect influence sub-coefficient corresponding to the air sub-parameter according to the air change sub-trend, peak and valley values ​​corresponding to each air sub-parameter, and determine the effect influence coefficient corresponding to the air parameter according to all the effect influence sub-coefficients, thereby realizing intelligent analysis of the influence of air parameters on the air conditioning operation effect based on the data characteristics of the air parameters, improving the analysis accuracy of the environmental parameter data characteristics, thereby improving the determination accuracy of the effect influence coefficient, which is beneficial to improving the determination accuracy of the operation effect requirements, so as to improve the determination accuracy of the air conditioning configuration parameters.

[0193] In this optional embodiment, optionally, the analysis module 302 is further used to analyze the influence correlation coefficient between each environmental parameter and the remaining environmental parameters on the air conditioning operation effect according to the environmental parameter set of the target area and the effect influence coefficient corresponding to all environmental parameters, and the influence correlation relationship includes a positive influence correlation coefficient or a negative influence correlation coefficient;

[0194] Among them, Figure 5 As shown, the device may also include:

[0195] A division module 304 is used to divide the environmental parameter set into a plurality of environmental parameter subsets according to all the impact correlation coefficients, each environmental parameter subset includes at least two environmental parameters, and all environmental parameters in each environmental parameter subset have the same type of impact correlation coefficients and the impact correlation coefficients are within a preset correlation coefficient range;

[0196] The determination module 303 is further used to determine the impact association relationship between all environmental parameters in each environmental parameter subset according to the environmental parameter set and all impact association coefficients;

[0197] The specific method in which the analysis module 302 determines the operation effect requirements that the air conditioner operation needs to meet in the target area according to the air conditioner usage requirements of the target user and the effect influence coefficients corresponding to all environmental parameters may include:

[0198] Based on the air conditioning usage needs of the target users, the effect influence coefficients corresponding to all environmental parameters and the influence correlation relationship between all environmental parameters, the operating effect requirements that need to be met by the air conditioning operation in the target area are determined.

[0199] It can be seen that the device described in the implementation of this optional embodiment can also determine the influence correlation coefficient between multiple environmental parameters on the air-conditioning operation effect according to the environmental parameter set and the effect influence coefficient corresponding to the environmental parameters, divide the environmental parameter set into multiple environmental parameter subsets according to the influence correlation coefficient, and establish an influence correlation relationship for the environmental parameters in each environmental parameter subset, as well as determine the operation effect requirements according to the air-conditioning usage requirements, all effect influence coefficients and all influence correlation relationships, thereby realizing intelligent analysis of the influence correlation relationship between multiple environmental parameters, and being able to improve the accuracy of the analysis of the impact of environmental parameters on the air-conditioning operation effect, thereby being conducive to improving the accuracy of determining the operation effect requirements, and further being conducive to improving the accuracy of determining the air-conditioning configuration parameters.

[0200] In this optional embodiment, optionally, the specific manner in which the analysis module 302 analyzes the influence correlation coefficient between each environmental parameter and the remaining environmental parameters on the air conditioning operation effect according to the environmental parameter set of the target area and the effect influence coefficients corresponding to all environmental parameters may include:

[0201] When the set of environmental parameters of the target area includes house parameters of the house where the target area is located and geographic parameters of the target area, determining the orientation of the target house corresponding to the geographic location and the floor of the target house corresponding to the geographic location according to the geographic location of the target area, climate information corresponding to the geographic location, and city information of the city where the target area is located;

[0202] Compare the house orientations of the houses in the target area with the orientations of the geographically corresponding target houses to obtain the orientation difference;

[0203] Compare the floor of the house with the floor of the target house to get the height difference between the floors;

[0204] Determine the difference between the effect of the house parameter and the effect of the geographical parameter according to the effect of the house parameter and the effect of the geographical parameter;

[0205] According to the orientation difference, floor height difference and effect influence difference, the influence correlation coefficient between the house parameters of the target area and the geographical parameters of the target area is determined.

[0206] It can be seen that the device described in the implementation of this optional embodiment can also determine the target house orientation and target house floor corresponding to the geographical location according to the geographical parameters of the target area, and compare the house orientation corresponding to the target area with the target house orientation and the floor corresponding to the target area with the target house floor, respectively, to obtain the orientation difference and the floor height difference, and determine the effect influence difference between the house parameters and the geographical parameters according to the effect influence coefficients corresponding to the house parameters and the geographical parameters respectively, and determine the influence correlation coefficient between the house parameters and the geographical parameters according to the orientation difference, the floor height difference and the effect influence difference, which can improve the analysis accuracy of the influence correlation coefficient between multiple environmental parameters, thereby improving the analysis accuracy of the impact of environmental parameters on the air-conditioning operation effect, which is beneficial to improve the accuracy of determining the operation effect requirements.

[0207] In another optional embodiment, the specific manner in which the determination module 303 determines the set of air conditioning configuration parameters that meets the operation effect requirement according to the operation effect requirement may include:

[0208] Estimate the air conditioning operating parameters in the target area based on the target area's environmental parameter set and operating effect requirements;

[0209] Inputting the air conditioning operation parameters and the environmental parameter set of the target area into the air conditioning operation simulation model to obtain the simulated operation effect corresponding to the virtual air conditioning in the air conditioning operation simulation model;

[0210] According to the simulation operation effect and the operation effect requirements, determine the degree of completion of the requirements corresponding to the simulation operation effect;

[0211] According to the air conditioning operating parameters and the degree of completion of the requirements, determine the set of air conditioning configuration parameters that meet the operating effect requirements.

[0212] It can be seen that the device described in the implementation of this optional embodiment can estimate the air-conditioning operating parameters based on the environmental parameter set and the operating effect requirements, and input the air-conditioning operating parameters and the environmental parameter set into the air-conditioning operation simulation model to obtain the simulated operating effect corresponding to the virtual air-conditioner, determine the degree of completion of the simulated operating effect compared to the operating effect requirements, and determine the air-conditioning configuration parameter set that meets the operating effect requirements based on the air-conditioning operating parameters and the demand completion, thereby realizing the intelligent simulation of the air-conditioning operation scenario, and can improve the simulation accuracy of the simulated operating effect, thereby improving the determination accuracy of the air-conditioning configuration parameters, and further facilitating improving the determination accuracy of the air-conditioning model, so as to improve the recommendation accuracy of the air-conditioning product.

[0213] Embodiment 4

[0214] See also Figure 6 , Figure 6FIG. 1 is a schematic diagram of the structure of another intelligent air conditioning recommendation device based on environmental parameters disclosed in an embodiment of the present invention. Figure 6 As shown, the air conditioning intelligent recommendation device based on environmental parameters may include:

[0215] A memory 401 storing executable program codes;

[0216] a processor 402 coupled to the memory 401;

[0217] The processor 402 calls the executable program code stored in the memory 401 to execute the steps of the air conditioner intelligent recommendation method based on environmental parameters described in the first embodiment of the present invention or the second embodiment of the present invention.

[0218] Embodiment 5

[0219] An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute the steps in the air conditioning intelligent recommendation method based on environmental parameters described in Embodiment 1 or Embodiment 2 of the present invention.

[0220] Embodiment 6

[0221] An embodiment of the present 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 enable a computer to execute the steps in the method for intelligently recommending air conditioners based on environmental parameters described in Example 1 or Example 2.

[0222] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0223] Through the specific 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 a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or partly contributed to the prior art in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0224] Finally, it should be noted that the method and device for intelligently recommending air conditioners based on environmental parameters disclosed in the embodiments of the present invention only disclose the preferred embodiments of the present invention, which are only used to illustrate the technical solutions of the present invention, rather than to limit them. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent air conditioning recommendation method based on environmental parameters, characterized in that: The method comprises: Acquire an environmental parameter set of a target area, where the target area is an area where air conditioning installation is required, and the environmental parameter set of the target area includes at least one environmental parameter; Analyzing the operating effect requirements that need to be met by the air conditioning operation in the target area according to the set of environmental parameters of the target area; According to the operation effect requirement, determining an air conditioning configuration parameter set that meets the operation effect requirement, the air conditioning configuration parameter set including at least one air conditioning configuration parameter; A target air conditioner model to be installed in the target area is determined according to the air conditioner configuration parameter set.

2. The air conditioning intelligent recommendation method based on environmental parameters according to claim 1, characterized in that: The target area environmental parameter set includes one or more combinations of air parameters of the target area, space size parameters of the target area, house parameters of the house where the target area is located, geographic parameters of the target area, and site function parameters of the target area; Among them, the air parameters of the target area include a combination of one or more of air temperature, air humidity, air particle concentration, air circulation direction and air circulation speed; the spatial size parameters of the target area include a combination of one or more of area area, area length, area width, area height and area shape; the house parameters of the house where the target area is located include a combination of one or more of the house orientation of the house where the target area is located, the house type of the house and the floor where the house is located; the geographical parameters of the target area include a combination of one or more of the geographical location of the target area, the climate information corresponding to the geographical location and the city information of the city where the target area is located.

3. The air conditioning intelligent recommendation method based on environmental parameters according to claim 2, characterized in that: The analyzing, based on the set of environmental parameters of the target area, the operating effect requirements to be met by the air conditioner operation in the target area includes: estimating the air conditioning usage demand of target users in the target area according to the set of environmental parameters of the target area; Determine the effect influence coefficient corresponding to each of the environmental parameters in the environmental parameter set of the target area, where the effect influence coefficient corresponding to each of the environmental parameters is used to indicate the degree of influence of the environmental parameter on the air conditioning operation effect when the air conditioner is running; According to the air-conditioning usage requirements of the target users and the effect influence coefficients corresponding to all the environmental parameters, the operation effect requirements that need to be met by the air-conditioning operation in the target area are determined.

4. The method for intelligently recommending air conditioners based on environmental parameters according to claim 3, characterized in that: The determining of the effect influence coefficient corresponding to each of the environmental parameters in the environmental parameter set of the target area includes: When the set of environmental parameters of the target area includes the air parameter of the target area, determining an air change trend corresponding to the air parameter of the target area within a target time period, wherein the air change trend includes an air change sub-trend corresponding to each air sub-parameter; For each of the air sub-parameters, a peak value corresponding to the air sub-parameter and a valley value corresponding to the air sub-parameter are screened out from the air parameters of the target area; For each of the air sub-parameters, determining the effect influence sub-coefficient corresponding to the air sub-parameter according to the air change sub-trend corresponding to the air sub-parameter, the peak value corresponding to the air sub-parameter, and the valley value corresponding to the air sub-parameter; The effect influence coefficient corresponding to the air parameter is determined according to the effect influence sub-coefficients corresponding to all the air sub-parameters.

5. The air conditioning intelligent recommendation method based on environmental parameters according to claim 3, characterized in that: The method further comprises: According to the environmental parameter set of the target area and the effect influence coefficients corresponding to all the environmental parameters, analyzing the influence correlation coefficient between each environmental parameter and the remaining environmental parameters on the air conditioning operation effect, wherein the influence correlation relationship includes a positive influence correlation coefficient or a negative influence correlation coefficient; According to all the influence correlation coefficients, the environmental parameter set is divided into a plurality of environmental parameter subsets, each of the environmental parameter subsets includes at least two of the environmental parameters, and there are the same type of influence correlation coefficients between all the environmental parameters in each of the environmental parameter subsets and the influence correlation coefficients are within a preset correlation coefficient range; Determining the impact association relationship between all the environmental parameters in each of the environmental parameter subsets according to the environmental parameter set and all the impact association coefficients; The step of determining the operating effect requirements to be met by the air conditioner operation in the target area according to the air conditioner usage requirements of the target user and the effect influence coefficients corresponding to all the environmental parameters includes: The operating effect requirements that need to be met by the air-conditioning operation in the target area are determined based on the air-conditioning usage requirements of the target users, the effect influence coefficients corresponding to all the environmental parameters, and the influence association relationships between all the environmental parameters.

6. The method for intelligently recommending air conditioners based on environmental parameters according to claim 5, characterized in that: The step of analyzing the influence correlation coefficient between each environmental parameter and the remaining environmental parameters on the air conditioning operation effect according to the environmental parameter set of the target area and the effect influence coefficients corresponding to all the environmental parameters includes: When the set of environmental parameters of the target area includes house parameters of the house where the target area is located and geographical parameters of the target area, determining the orientation of the target house corresponding to the geographical location and the floor of the target house corresponding to the geographical location according to the geographical location of the target area, climate information corresponding to the geographical location and city information of the city where the target area is located; Comparing the house orientations of the houses in the target area with the target house orientations corresponding to the geography to obtain the orientation difference; Compare the floor where the house is located with the floor of the target house to obtain the difference in floor heights; Determining the difference between the effect influence of the house parameter and the effect influence of the geographical parameter according to the effect influence coefficient corresponding to the house parameter and the effect influence coefficient corresponding to the geographical parameter; An influence correlation coefficient between the house parameters of the house where the target area is located and the geographical parameters of the target area is determined according to the orientation difference, the floor height difference and the effect influence difference.

7. The method for intelligently recommending air conditioners based on environmental parameters according to any one of claims 1 to 6, characterized in that: The step of determining a set of air conditioning configuration parameters that meets the operating effect requirement according to the operating effect requirement includes: estimating air conditioning operating parameters in the target area according to the set of environmental parameters of the target area and the operating effect requirements; Inputting the air conditioning operation parameters and the environmental parameter set of the target area into the air conditioning operation simulation model to obtain the simulated operation effect corresponding to the virtual air conditioning in the air conditioning operation simulation model; Determining the degree of completion of the requirement corresponding to the simulated operation effect according to the simulated operation effect and the operation effect requirement; According to the air-conditioning operation parameters and the degree of completion of the requirement, a set of air-conditioning configuration parameters that meets the operation effect requirement is determined.

8. An intelligent air conditioning recommendation device based on environmental parameters, characterized in that: The device comprises: An acquisition module, used to acquire an environmental parameter set of a target area, wherein the target area is an area where there is a demand for air conditioning installation, and the environmental parameter set of the target area includes at least one environmental parameter; An analysis module, configured to analyze the operating effect requirements that need to be met by the air-conditioning operation in the target area according to the set of environmental parameters of the target area; A determination module, configured to determine, according to the operation effect requirement, a set of air conditioning configuration parameters that meets the operation effect requirement, wherein the set of air conditioning configuration parameters includes at least one air conditioning configuration parameter; The determination module is further used to determine the target air conditioner model to be installed in the target area according to the air conditioner configuration parameter set.

9. An intelligent air conditioning recommendation device based on environmental parameters, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent air conditioning recommendation method based on environmental parameters as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, and when the computer instructions are called, they are used to execute the air conditioning intelligent recommendation method based on environmental parameters as described in any one of claims 1-7.

Images