Smart home information feedback method and device

Abstract

The present application provides a method and device for information feedback of a smart home, the method comprising: first, receiving model information and location information of a target smart home, wherein the location information is information about the expected installation location or the actual installation location of the target smart home; then, determining target performance information of the target smart home based at least on the model information and location information, wherein the target performance information includes a Coanda effect level that characterizes the severity of the Coanda effect occurring at the expected installation location or the actual installation location of the target smart home; finally, sending the target performance information to a target customer so that the target user receives the target performance information. On the one hand, if the installation has not yet taken place, the expected installation location can be changed according to the target performance information; on the other hand, if the installation has already been completed, other methods can be used to alleviate the Coanda effect, thereby ensuring that the target user has a good experience in using the smart home.

Description

Technical Field

[0001] The present application relates to the field of smart homes, and more specifically, to a smart home information feedback method, a device thereof, a computer-readable storage medium, a processor, and an electronic device. Background Art

[0002] In the process of commercial housing development, designs based on the purpose of convenient unified processing often lead to the specialization of the installation location of household wall-mounted smart homes, which leads to the problem of poor comfort in the operation of smart homes. For example, when installed in the corner (close to the wall on the side), due to the Coanda effect, the wind blown out of the smart home outlet will show a "wall flow" phenomenon, and the smart home's air supply distance and cooling / heating capacity will be greatly attenuated. Generally, users will consider using other home appliances in conjunction with smart homes, such as ordinary floor-standing rotary fans, air circulation fans, tower fans, bladeless fans, etc. However, the control mode of the joint use of household appliances between this type of household smart homes and fans is still in the simple opening control and geometric correlation position selection. In fact, it cannot quickly achieve a good effect of regulating the overall temperature in the room.

[0003] Therefore, there is an urgent need for a method that can predict different situations of the Coanda effect based on the actual situation of smart home installation.

[0004] The above information disclosed in the background technology section is only used to enhance the understanding of the background technology of the technology described in this article. Therefore, the background technology may contain certain information that does not form the prior art known in this country to those skilled in the art. Summary of the Invention

[0005] The main purpose of this application is to provide a smart home information feedback method, its device, computer-readable storage medium, processor and electronic device to solve the problem of poor user experience caused by the Coanda effect in smart homes in the prior art.

[0006] According to one aspect of an embodiment of the present invention, a method for information feedback of a smart home is provided, wherein the smart home has a wind outlet function, and the method comprises: receiving model information and location information of a target smart home, wherein the location information is information characterizing an expected installation location or an actual installation location of the target smart home; determining target performance information of the target smart home based at least on the model information and the location information, wherein the target performance information comprises a Coanda effect level, and the Coanda effect level is used to characterize the severity of the Coanda effect occurring at the expected installation location or the actual installation location of the target smart home; and sending the target performance information so that a target user receives the target performance information.

[0007] Optionally, the location information includes first location information and second location information, the first location information is used to characterize the distance between the target smart home and the vertical wall closest to the target smart home, the vertical wall is not in contact with the target smart home, and the second location information is used to characterize the distance between the air outlet of the target smart home and the corresponding ground. The target performance information of the target smart home is determined at least based on the model information and the location information, including: when the model information and the first location information meet predetermined conditions, the target performance information of the target smart home is determined at least based on the first location information, the second location information and the model information, and the predetermined conditions include: the model information exists in the first database and the first location information is less than a predetermined threshold.

[0008] Optionally, the target performance information of the target smart home is determined based on at least the first location information, the second location information and the model information, including: obtaining a second database, the second database including historical information of multiple smart homes and historical performance information corresponding to the historical information, the historical information including historical model information, historical first location information and historical second location information; when target historical information exists in the second database, determining that the historical performance information corresponding to the target historical information is the target performance information, and the target historical information is the same historical information as the first location information, the second location information and the model information; when the target historical information does not exist in the second database, performing predetermined processing on the first location information, the second location information and the model information to obtain the target performance information, and the predetermined processing at least includes cloud computing.

[0009] Optionally, after performing predetermined processing on the first location information, the second location information and the model information to obtain the target performance information, the method further includes: updating the second database so that the second database includes the first location information, the second location information, the model information and the corresponding target performance information.

[0010] Optionally, before performing predetermined processing on the first position information, the second position information and the model information to obtain the target performance information, the method also includes: when the first position information is less than the predetermined threshold, obtaining third position information, the third position information is used to characterize the side wall information of the target smart home close to the vertical wall, and the side wall information includes the left wall or the right wall.

[0011] Optionally, predetermined processing is performed on the first location information, the second location information and the model information to obtain the target performance information, including: establishing preliminary house scene data based on the first location information, the second location information, the third location information and the model information, the preliminary house scene data being used to characterize the dimension data of the space where the target smart home is located; performing information conversion on the preliminary house scene data to obtain target house scene data, the target house scene data being a three-dimensional simulation model of the target smart home; and performing cloud computing on the target house scene data to obtain the target performance information.

[0012] Optionally, sending the target performance information includes: performing information conversion on the target performance information to obtain actual performance information; and sending the actual performance information.

[0013] Optionally, the target performance information also includes a fan positioning address and / or airflow distribution information, the fan positioning address is used to characterize the recommended position of the fan, the fan is used to alleviate the Coanda effect of the target smart home, and the airflow distribution information is used to characterize the airflow distribution in the space where the target smart home is located when the target smart home is exhausting air.

[0014] According to another aspect of an embodiment of the present invention, an information feedback device for a smart home is further provided, wherein the smart home has an air outlet function, and the device includes a receiving unit, a determining unit, and a sending unit, wherein the receiving unit is used to receive model information and location information of a target smart home, and the location information is information representing the expected installation location of the target smart home or information about the actual installation location; the determining unit is used to determine target performance information of the target smart home based on at least the model information and the location information, and the target performance information includes a Coanda effect level, and the Coanda effect level is used to represent the severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location; the sending unit is used to send the target performance information so that the target user receives the target performance information.

[0015] According to yet another aspect of the embodiments of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored program, wherein the program is used to execute any one of the methods described above.

[0016] According to yet another aspect of the embodiments of the present invention, a processor is provided, wherein the processor is configured to run a program, wherein any one of the methods is executed when the program is run.

[0017] According to another aspect of an embodiment of the present invention, an electronic device is also provided, which includes one or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include methods for executing any one of the methods described.

[0018] In an embodiment of the present invention, in the information feedback method of the smart home, first, the model information and location information of the target smart home are received, wherein the location information is information about the expected installation location or the actual installation location of the target smart home; then, the target performance information of the target smart home is determined based on at least the model information and the location information, wherein the target performance information includes a Coanda effect level that characterizes the severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location; finally, the target performance information is sent to the target customer so that the target user receives the target performance information. Compared with the problem of poor user experience caused by the Coanda effect in smart homes in the prior art, the information feedback method of the smart home in the present application receives the model information and the location information of the target smart home, wherein the location information can be information of the actual installation location of the target smart home or information of the expected installation location of the target smart home. Then, based on the model information and the location information, the target performance information of the target smart home is determined, that is, the severity of the Coanda effect generated by the target smart home device when the target smart home is at the actual installation location or the expected installation location, and the target performance information is sent, ensuring that the target user can receive the target performance information. On the one hand, when the smart home has not been installed, that is, when the location information is information of the expected installation location, the target user can change the expected installation location of the target smart home according to the target performance information. On the other hand, when the smart home has been installed, the target user can use other methods to alleviate the Coanda effect generated by the target smart home, thereby solving the problem of poor user experience caused by the Coanda effect in smart homes in the prior art and ensuring that the target user has a good experience using the smart home. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings that constitute part of this application are used to provide a further understanding of this application. The illustrative embodiments of this application and their descriptions are used to explain this application and do not constitute an improper limitation on this application. In the drawings:

[0020] Figure 1A schematic flow chart of a smart home information feedback method according to an embodiment of the present application is shown;

[0021] Figure 2 A schematic diagram of an information feedback device for a smart home according to an embodiment of the present application is shown;

[0022] Figure 3 The figure shows a flow chart of information feedback of a smart home according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0024] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention 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 in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] It should be understood that when an element (such as a layer, film, region, or substrate) is described as being "on" another element, the element may be directly on the other element or intervening elements may be present. Moreover, in the specification and claims, when it is described that an element is "connected to" another element, the element may be "directly connected to" the other element or "connected to" the other element through a third element.

[0027] As mentioned in the background technology, the smart home in the prior art has the problem of poor user experience due to the Coanda effect. In order to solve the above problem, a typical embodiment of the present application provides a smart home information feedback method, its device, computer-readable storage medium, processor and electronic device.

[0028] According to an embodiment of the present application, a method for information feedback of a smart home is provided, wherein the smart home has a ventilation function.

[0029] Figure 1 Flowchart of the information feedback method of smart home according to the embodiment of the present application. Figure 1 As shown, the method includes the following steps:

[0030] Step S101: receiving model information and location information of a target smart home, where the location information is information representing an expected installation location or an actual installation location of the target smart home;

[0031] Step S102: determining target performance information of the target smart home based on at least the model information and the location information, where the target performance information includes a Coanda effect level, which is used to indicate the severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location.

[0032] Step S103: Send the target performance information so that the target user receives the target performance information.

[0033] In the above-mentioned smart home information feedback method, first, the model information and location information of the target smart home are received, wherein the above-mentioned location information is the information of the expected installation location or the actual installation location of the above-mentioned smart home; then, the target performance information of the above-mentioned target smart home is determined based on at least the above-mentioned model information and the above-mentioned location information, wherein the above-mentioned target performance information includes a Coanda effect level that characterizes the severity of the above-mentioned Coanda effect occurring at the above-mentioned target smart home at the above-mentioned expected installation location or the above-mentioned actual installation location; finally, the above-mentioned target performance information is sent to the target customer so that the target user receives the above-mentioned target performance information. Compared with the problem of poor user experience caused by the Coanda effect in smart homes in the prior art, the information feedback method of the smart home in the present application receives the model information and the location information of the target smart home, wherein the location information can be information of the actual installation location of the target smart home or information of the expected installation location of the target smart home. Then, based on the model information and the location information, the target performance information of the target smart home is determined, that is, the severity of the Coanda effect generated by the target smart home device when the target smart home is at the actual installation location or the expected installation location, and the target performance information is sent, thereby ensuring that the target user receives the target performance information. On the one hand, when the smart home has not been installed, that is, when the location information is information of the expected installation location, the target user can change the expected installation location of the target smart home based on the target performance information. On the other hand, when the smart home has been installed, the target user can use other methods to alleviate the Coanda effect generated by the target smart home. This solves the problem of poor user experience caused by the Coanda effect in smart homes in the prior art and ensures that the target user has a good experience using the smart home.

[0034] Specifically, the Coanda effect level is used to remind the target user that, under the condition of the location information, the target smart home may have a Coanda effect, and the level of the Coanda effect is provided.

[0035] In order to further ensure a better user experience for the target users, according to a specific embodiment of the present application, the location information includes first location information and second location information. The first location information is used to characterize the distance between the target smart home and the vertical wall closest to the target smart home, and the vertical wall is not in contact with the target smart home. The second location information is used to characterize the distance between the air outlet of the target smart home and the corresponding ground. The target performance information of the target smart home is determined at least based on the model information and the location information, including: when the model information and the first location information meet predetermined conditions, the target performance information of the target smart home is determined at least based on the first location information, the second location information and the model information. The predetermined conditions include: the model information exists in the first database and the first location information is less than a predetermined threshold. When the model information exists in the first database and the first location information is less than the predetermined threshold, the target performance information of the target smart home is determined at least based on the first location information, the second location information and the model information, that is, first confirm whether the model information and the first location information meet the predetermined conditions, and when the predetermined conditions are met, determine the target performance information of the target smart home. When the model information or the first location information does not meet the predetermined conditions, there is no need to determine the target performance information of the target smart home device, which further ensures that the target user has a better experience.

[0036] Specifically, when the above-mentioned model information does not exist in the above-mentioned first database, it means that the above-mentioned target smart home does not have the relevant function, and there is no need to determine the above-mentioned target performance information of the above-mentioned target smart home device. When the above-mentioned first position information is not less than the above-mentioned predetermined threshold, it indicates that the above-mentioned first position information of the above-mentioned target smart home is large, that is, the distance between the above-mentioned target smart home and the vertical wall closest to the above-mentioned target smart home is large, and the Coanda effect will not be generated. There is no need to determine the above-mentioned target performance information of the above-mentioned target smart home device, so that the above-mentioned target user can start using the above-mentioned target smart home faster, further ensuring that the above-mentioned target user has a better experience.

[0037] In a specific embodiment, the above-mentioned Coanda effect can also be called wall attachment effect or Coanda effect, that is, when the distance between the above-mentioned target smart home and the vertical wall closest to the above-mentioned target smart home is small, the airflow emitted by the above-mentioned target smart home will deviate from the original flow direction and tend to flow along the nearby wall surface, so that the function of the above-mentioned target smart home is affected, resulting in the above-mentioned target user having a poor experience in using the above-mentioned target smart home.

[0038] According to another specific embodiment of the present application, the target performance information of the target smart home is determined at least based on the first location information, the second location information and the model information, including: obtaining a second database, the second database including historical information of multiple smart homes and historical performance information corresponding to the historical information, the historical information including historical model information, historical first location information and historical second location information; when the target historical information exists in the second database, determining that the historical performance information corresponding to the target historical information is the target performance information, and the target historical information is the same as the first location information, the second location information and the model information; when the target historical information does not exist in the second database, performing predetermined processing on the first location information, the second location information and the model information to obtain the target performance information, and the predetermined processing at least includes cloud computing. By obtaining the above-mentioned second database including historical information of multiple smart homes and historical performance information corresponding to the above-mentioned historical information, and confirming whether the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information exist in the above-mentioned second database, if the above-mentioned target historical information exists in the above-mentioned second database, directly obtaining the above-mentioned first location information, the above-mentioned second location information and the above-mentioned historical performance information corresponding to the above-mentioned model information from the above-mentioned second database to obtain the above-mentioned target performance information; if the above-mentioned target historical information does not exist in the above-mentioned second database, performing predetermined processing on the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information to obtain the above-mentioned target performance information, so that the above-mentioned target performance information corresponding to the above-mentioned target smart home can be obtained more quickly, ensuring that the above-mentioned target user can implement response measures according to the above-mentioned target performance information, and further ensuring that the above-mentioned target user has a better experience.

[0039] In a specific embodiment, the first position information is the distance between the side panel of the target smart home on the side closer to the vertical wall and the vertical wall, the second position information is the distance between the lower edge of the air outlet of the target smart home and the corresponding ground, and the second database is a cloud-based simulation model database.

[0040] Specifically, when the above-mentioned model information or the above-mentioned first position information meets the above-mentioned predetermined conditions, the above-mentioned target smart home can be directly turned on. When the above-mentioned first position information is not less than the above-mentioned predetermined threshold, it means that the above-mentioned Coanda effect will not occur.

[0041] In order to further ensure that the target user has a better experience, according to another specific embodiment of the present application, after the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information are subjected to predetermined processing to obtain the above-mentioned target performance information, the above-mentioned method further includes: updating the above-mentioned second database so that the above-mentioned second database includes the above-mentioned first location information, the above-mentioned second location information, the above-mentioned model information and the corresponding above-mentioned target performance information. By updating the above-mentioned second database, the above-mentioned first location information, the above-mentioned second location information, the above-mentioned model information and the corresponding above-mentioned target performance information are stored in the above-mentioned second database, ensuring that the location information and model information of other subsequent smart homes are respectively the same as the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information, the corresponding performance information can be quickly obtained from the above-mentioned second database, further ensuring that the target user has a better experience in using the smart home.

[0042] Specifically, the first location information, the second location information and the model information are stored in a cloud-based digital model library. The cloud-based digital model library has a corresponding relationship with the cloud-based simulation model database. The target performance information is stored in the cloud-based simulation model database. The first database and the cloud-based digital model library can interact with each other. The cloud-based simulation model database has the function of data collection and statistics, and can also perform database upgrades, specifically including original self-built and case information generated based on user conditions.

[0043] According to a specific embodiment of the present application, before performing predetermined processing on the first position information, the second position information, and the model information to obtain the target performance information, the method further includes: when the first position information is less than the predetermined threshold, obtaining third position information, the third position information being used to characterize the side wall information of the target smart home near the vertical wall, the side wall information including the left wall or the right wall. By obtaining the side wall information of the target smart home near the vertical wall, wherein the side wall information includes the left wall or the right wall, the target performance information can be subsequently determined based on the third position information, thereby ensuring that the accuracy of the determined target performance information is high.

[0044] Specifically, the third position information is that when the installer is facing the target smart home, the installer's left hand corresponds to the left wall, and the installer's right hand corresponds to the right wall.

[0045] In a specific embodiment, the above-mentioned model information, the above-mentioned first location information, the above-mentioned second location information and the above-mentioned third location information are all input through an information input interface. The above-mentioned information input interface is an activation tool equipped by air conditioner installers. This electronic device has a wide penetration rate and is a tool that installers must carry. Among them, the above-mentioned model information can be manually input or obtained by scanning the body QR code or other barcode information of the above-mentioned target smart home.

[0046] According to another specific embodiment of the present application, the above-mentioned first position information, the above-mentioned second position information and the above-mentioned model information are subjected to predetermined processing to obtain the above-mentioned target performance information, including: establishing preliminary house scene data based on the above-mentioned first position information, the above-mentioned second position information, the above-mentioned third position information and the above-mentioned model information, the above-mentioned preliminary house scene data is used to characterize the size data of the space where the above-mentioned target smart home is located; performing information conversion on the above-mentioned preliminary house scene data to obtain target house scene data, the above-mentioned target house scene data is a three-dimensional simulation model of the above-mentioned target smart home; performing the above-mentioned cloud computing on the above-mentioned target house scene data to obtain the above-mentioned target performance information. By establishing the above-mentioned preliminary house scene data based on the above-mentioned first position information, the above-mentioned second position information, the above-mentioned third position information and the above-mentioned model information, the size information of the above-mentioned target smart home in the space where the above-mentioned target smart home is located is obtained, and then performing information conversion on the above-mentioned preliminary house scene data to obtain the three-dimensional simulation model corresponding to the above-mentioned target smart home, and performing cloud computing on the obtained simulation model to obtain the above-mentioned target performance information of the above-mentioned target smart home, it is ensured that the accuracy of the obtained target performance information is high.

[0047] In a specific embodiment, after the prepared house scene data is converted into information, house graphic element information is obtained, and the simulation model is generated through the house graphic element information, that is, the target house scene data is obtained. The house graphic element information includes the first position information, the second position information and the model information, and the cloud-based digital model library includes multiple historical house graphic element information.

[0048] Specifically, if the difference between any parameter of the above-mentioned first position information, the above-mentioned second position information and the above-mentioned model information and the data in the above-mentioned second database exceeds a certain value, it means that the above-mentioned second database cannot be matched, that is, it does not match the cloud-based simulation result database, and it is necessary to construct the house scene data, and then convert it into house graphic element information through the graphic element conversion module, and combine it with the cloud-based digital model library to construct a simulation model, and then update the simulation model to the cloud-based simulation model database. At the same time, it is submitted to the cloud for the above-mentioned cloud computing, and the cloud computing results are updated to the cloud-based simulation result database for simulation result extraction.

[0049] According to another specific embodiment of the present application, sending the target performance information includes: performing information conversion on the target performance information to obtain actual performance information; and sending the actual performance information. By performing information conversion on the target performance information, the target user can receive the actual performance information via a terminal, ensuring that the target user can quickly implement certain measures based on the actual performance information, further ensuring that the target user has a better experience using the smart home.

[0050] Specifically, by converting the above-mentioned target performance information, visual graphic element information is obtained, that is, the above-mentioned actual performance information is obtained. The above-mentioned graphic element information can be a static image, or a dynamic image or an image, so that the above-mentioned target user can more intuitively feel the above-mentioned Coanda effect level of the above-mentioned target smart home through the terminal. The above-mentioned terminal includes an APP in a mobile phone or tablet, and after the above-mentioned actual performance information is sent, the information input interface of the air conditioner installer will receive a reminder that the information push is completed, and the relevant settings can be completed and the machine can be turned on normally.

[0051] In order to further ensure that the above-mentioned target users have a better experience, according to a specific embodiment of the present application, the above-mentioned target performance information also includes a fan positioning address and / or airflow distribution information. The above-mentioned fan positioning address is used to characterize the recommended position of the fan. The above-mentioned fan is used to alleviate the Coanda effect of the above-mentioned target smart home. The above-mentioned airflow distribution information is used to characterize the airflow distribution of the space where the above-mentioned target smart home is located when the above-mentioned target smart home is blowing out air. The above-mentioned target performance information also includes the above-mentioned fan positioning address and airflow distribution information, which ensures that the above-mentioned target users can also obtain the recommended position of the fan and the airflow distribution diagram based on the above-mentioned target performance information. On the one hand, when the above-mentioned smart home has been installed, the above-mentioned target user can place the fan at the above-mentioned fan positioning address so that the fan can better alleviate the Coanda effect of the above-mentioned target smart home. On the other hand, the above-mentioned target user can also feel the airflow distribution of the above-mentioned target smart home more intuitively based on the above-mentioned airflow distribution information, which further ensures that the above-mentioned target user has a better experience.

[0052] It should be noted that the fan positioning address is the impact point of the airflow on the wall in the Coanda effect, that is, the position where the airflow direction changes, and the airflow distribution information is the airflow cloud map of the simulation analysis.

[0053] Of course, the above-mentioned target performance information may also include other relevant information. For example, when the above-mentioned target smart home has not been installed, the above-mentioned target performance information may provide a recommended location of the above-mentioned target smart home, that is, the recommended installation height and the distance from nearby walls.

[0054] Specifically, the information feedback process of the smart home mentioned above enables the accurate and rapid acquisition of relevant data of the target smart home in the context of big data and cloud computing, and the results are fed back to the target user in real time through the Internet of Things client.

[0055] In a specific embodiment, the target smart home includes an air conditioner. Of course, it can also be other smart home devices with an air outlet function.

[0056] The present application also provides an information feedback device for a smart home, wherein the smart home has a ventilation function. It should be noted that the information feedback device for a smart home provided in the present application can be used to execute the information feedback method for a smart home provided in the present application. The following describes the information feedback device for a smart home provided in the present application.

[0057] Figure 2 Schematic diagram of the information feedback device of the smart home according to the embodiment of the present application. Figure 2 As shown, the device includes a receiving unit 10, a determining unit 20 and a sending unit 30, wherein the receiving unit 10 is used to receive the model information and location information of the target smart home, the location information is information representing the expected installation location of the target smart home or the actual installation location; the determining unit 20 is used to determine the target performance information of the target smart home based on at least the model information and the location information, the target performance information includes a Coanda effect level, and the Coanda effect level is used to represent the severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location; the sending unit 30 is used to send the target performance information so that the target user receives the target performance information.

[0058] In the information feedback device of the above-mentioned smart home, the model information and location information of the target smart home are received by the above-mentioned receiving unit, and the above-mentioned location information is information representing the expected installation location of the above-mentioned target smart home or information of the actual installation location; the target performance information of the above-mentioned target smart home is determined by the above-mentioned determination unit at least based on the above-mentioned model information and the above-mentioned location information, and the above-mentioned target performance information includes a Coanda effect level, and the above-mentioned Coanda effect level is used to represent the severity of the above-mentioned Coanda effect occurring at the above-mentioned target smart home at the above-mentioned expected installation location or the above-mentioned actual installation location; the above-mentioned target performance information is sent by the above-mentioned sending unit so that the target user receives the above-mentioned target performance information. Compared with the problem of poor user experience caused by the Coanda effect in smart homes in the prior art, the information feedback device of the smart home in the present application receives the model information and the location information of the target smart home, wherein the location information can be information of the actual installation location of the target smart home or information of the expected installation location of the target smart home, and then determines the target performance information of the target smart home based on the model information and the location information, that is, the severity of the Coanda effect generated by the target smart home device when the target smart home is at the actual installation location or the expected installation location, and sends the target performance information, thereby ensuring that the target user receives the target performance information. On the one hand, when the smart home has not been installed, that is, when the location information is information of the expected installation location, the target user can change the expected installation location of the target smart home based on the target performance information. On the other hand, when the smart home has been installed, the target user can use other methods to alleviate the Coanda effect generated by the target smart home, thereby solving the problem of poor user experience caused by the Coanda effect in smart homes in the prior art and ensuring that the target user has a good experience using the smart home.

[0059] Specifically, the Coanda effect level is used to remind the target user that, under the condition of the location information, the target smart home may have a Coanda effect, and the level of the Coanda effect is provided.

[0060] In order to further ensure that the above-mentioned target users have a better experience, according to a specific embodiment of the present application, the above-mentioned location information includes first location information and second location information. The above-mentioned first location information is used to characterize the distance between the above-mentioned target smart home and the vertical wall closest to the above-mentioned target smart home, and the above-mentioned vertical wall is not in contact with the above-mentioned target smart home. The above-mentioned second location information is used to characterize the distance between the air outlet of the above-mentioned target smart home and the corresponding ground. The above-mentioned determination unit includes a determination module. The above-mentioned determination module is used to determine the above-mentioned target performance information of the above-mentioned target smart home based on at least the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information when the above-mentioned model information and the above-mentioned first location information meet predetermined conditions. The above-mentioned predetermined conditions include: the above-mentioned model information exists in the first database and the above-mentioned first location information is less than a predetermined threshold. When the model information exists in the first database and the first location information is less than the predetermined threshold, the target performance information of the target smart home is determined at least based on the first location information, the second location information and the model information, that is, first confirm whether the model information and the first location information meet the predetermined conditions, and when the predetermined conditions are met, determine the target performance information of the target smart home. When the model information or the first location information does not meet the predetermined conditions, there is no need to determine the target performance information of the target smart home device, which further ensures that the target user has a better experience.

[0061] Specifically, when the above-mentioned model information does not exist in the above-mentioned first database, it means that the above-mentioned target smart home does not have the relevant function, and there is no need to determine the above-mentioned target performance information of the above-mentioned target smart home device. When the above-mentioned first position information is not less than the above-mentioned predetermined threshold, it indicates that the above-mentioned first position information of the above-mentioned target smart home is large, that is, the distance between the above-mentioned target smart home and the vertical wall closest to the above-mentioned target smart home is large, and the Coanda effect will not be generated. There is no need to determine the above-mentioned target performance information of the above-mentioned target smart home device, so that the above-mentioned target user can start using the above-mentioned target smart home faster, further ensuring that the above-mentioned target user has a better experience.

[0062] In a specific embodiment, the above-mentioned Coanda effect can also be called wall attachment effect or Coanda effect, that is, when the distance between the above-mentioned target smart home and the vertical wall closest to the above-mentioned target smart home is small, the airflow emitted by the above-mentioned target smart home will deviate from the original flow direction and tend to flow along the nearby wall surface, so that the function of the above-mentioned target smart home is affected, resulting in the above-mentioned target user having a poor experience in using the above-mentioned target smart home.

[0063] According to another specific embodiment of the present application, the above-mentioned determination module includes an acquisition submodule, a determination submodule and a processing submodule, wherein the above-mentioned acquisition submodule is used to acquire a second database, the above-mentioned second database includes historical information of multiple smart homes and historical performance information corresponding to the above-mentioned historical information, and the above-mentioned historical information includes historical model information, historical first position information and historical second position information; the above-mentioned determination submodule is used to determine that the above-mentioned historical performance information corresponding to the above-mentioned target historical information is the above-mentioned target performance information when the target historical information exists in the above-mentioned second database, and the above-mentioned target historical information is the above-mentioned historical information that is the same as the above-mentioned first position information, the above-mentioned second position information and the above-mentioned model information; the above-mentioned processing submodule is used to perform predetermined processing on the above-mentioned first position information, the above-mentioned second position information and the above-mentioned model information when the above-mentioned target historical information does not exist in the above-mentioned second database to obtain the above-mentioned target performance information, and the above-mentioned predetermined processing at least includes cloud computing. By obtaining the above-mentioned second database including historical information of multiple smart homes and historical performance information corresponding to the above-mentioned historical information, and confirming whether the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information exist in the above-mentioned second database, if the above-mentioned target historical information exists in the above-mentioned second database, directly obtaining the above-mentioned first location information, the above-mentioned second location information and the above-mentioned historical performance information corresponding to the above-mentioned model information from the above-mentioned second database to obtain the above-mentioned target performance information; if the above-mentioned target historical information does not exist in the above-mentioned second database, performing predetermined processing on the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information to obtain the above-mentioned target performance information, so that the above-mentioned target performance information corresponding to the above-mentioned target smart home can be obtained more quickly, ensuring that the above-mentioned target user can implement response measures according to the above-mentioned target performance information, and further ensuring that the above-mentioned target user has a better experience.

[0064] In a specific embodiment, the first position information is the distance between the side panel of the target smart home on the side closer to the vertical wall and the vertical wall, the second position information is the distance between the lower edge of the air outlet of the target smart home and the corresponding ground, and the second database is a cloud-based simulation model database.

[0065] Specifically, when the above-mentioned model information or the above-mentioned first position information meets the above-mentioned predetermined conditions, the above-mentioned target smart home can be directly turned on. When the above-mentioned first position information is not less than the above-mentioned predetermined threshold, it means that the above-mentioned Coanda effect will not occur.

[0066] In order to further ensure that the target user has a better experience, according to another specific embodiment of the present application, the above-mentioned device also includes an update unit, which is used to update the above-mentioned second database after performing predetermined processing on the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information to obtain the above-mentioned target performance information, so that the above-mentioned second database includes the above-mentioned first location information, the above-mentioned second location information, the above-mentioned model information and the corresponding above-mentioned target performance information. By updating the above-mentioned second database, the above-mentioned first location information, the above-mentioned second location information, the above-mentioned model information and the corresponding above-mentioned target performance information are stored in the above-mentioned second database, which ensures that the location information and model information of other subsequent smart homes are the same as the above-mentioned first location information, the above-mentioned second location information and the above-mentioned model information respectively, and the corresponding performance information can be quickly obtained from the above-mentioned second database, further ensuring that the target user has a better experience in using the smart home.

[0067] Specifically, the first location information, the second location information and the model information are stored in a cloud-based digital model library. The cloud-based digital model library has a corresponding relationship with the cloud-based simulation model database. The target performance information is stored in the cloud-based simulation model database. The first database and the cloud-based digital model library can interact with each other. The cloud-based simulation model database has the function of data collection and statistics, and can also perform database upgrades, specifically including original self-built and case information generated based on user conditions.

[0068] According to a specific embodiment of the present application, the device further includes an acquisition unit, which is used to obtain third position information when the first position information is less than the predetermined threshold value before performing predetermined processing on the first position information, the second position information, and the model information to obtain the target performance information. The third position information is used to characterize the side wall information of the target smart home near the vertical wall, wherein the side wall information includes the left wall or the right wall. By obtaining the side wall information of the target smart home near the vertical wall, wherein the side wall information includes the left wall or the right wall, the target performance information can be subsequently determined based on the third position information, thereby ensuring that the accuracy of the determined target performance information is high.

[0069] Specifically, the third position information is that when the installer is facing the target smart home, the installer's left hand corresponds to the left wall, and the installer's right hand corresponds to the right wall.

[0070] In a specific embodiment, the above-mentioned model information, the above-mentioned first location information, the above-mentioned second location information and the above-mentioned third location information are all input through an information input interface. The above-mentioned information input interface is an activation tool equipped by air conditioner installers. This electronic device has a wide penetration rate and is a tool that installers must carry. Among them, the above-mentioned model information can be manually input or obtained by scanning the body QR code or other barcode information of the above-mentioned target smart home.

[0071] According to another specific embodiment of the present application, the above-mentioned processing submodule includes establishing the prepared house scene data according to the above-mentioned first position information, the above-mentioned second position information, the above-mentioned third position information and the above-mentioned model information, the above-mentioned prepared house scene data is used to characterize the size data of the space where the above-mentioned target smart home is located; performing information conversion on the above-mentioned prepared house scene data to obtain target house scene data, the above-mentioned target house scene data is a three-dimensional simulation model of the above-mentioned target smart home; performing the above-mentioned cloud computing on the above-mentioned target house scene data to obtain the above-mentioned target performance information. By establishing the above-mentioned prepared house scene data according to the above-mentioned first position information, the above-mentioned second position information, the above-mentioned third position information and the above-mentioned model information, the size information of the space where the above-mentioned target smart home is located is obtained, and then performing information conversion on the above-mentioned prepared house scene data to obtain the three-dimensional simulation model corresponding to the above-mentioned target smart home, and performing cloud computing on the obtained simulation model to obtain the above-mentioned target performance information of the above-mentioned target smart home, it is ensured that the accuracy of the obtained target performance information is high.

[0072] In a specific embodiment, after the prepared house scene data is converted into information, house graphic element information is obtained, and the simulation model is generated through the house graphic element information, that is, the target house scene data is obtained. The house graphic element information includes the first position information, the second position information and the model information, and the cloud-based digital model library includes multiple historical house graphic element information.

[0073] Specifically, if the difference between any parameter of the above-mentioned first position information, the above-mentioned second position information and the above-mentioned model information and the data in the above-mentioned second database exceeds a certain value, it means that the above-mentioned second database cannot be matched, that is, it does not match the cloud-based simulation result database, and it is necessary to construct the house scene data, and then convert it into house graphic element information through the graphic element conversion module, and combine it with the cloud-based digital model library to construct a simulation model, and then update the simulation model to the cloud-based simulation model database. At the same time, it is submitted to the cloud for the above-mentioned cloud computing, and the cloud computing results are updated to the cloud-based simulation result database for simulation result extraction.

[0074] According to another specific embodiment of the present application, the sending unit includes a processing module and a sending module, wherein the processing module is used to convert the target performance information to obtain actual performance information; and the sending module is used to send the actual performance information. By converting the target performance information, the target user can receive the actual performance information through the terminal, ensuring that the target user can quickly implement certain measures based on the actual performance information, further ensuring that the target user has a good experience using the smart home.

[0075] Specifically, by converting the above-mentioned target performance information, visual graphic element information is obtained, that is, the above-mentioned actual performance information is obtained. The above-mentioned graphic element information can be a static image, or a dynamic image or an image, so that the above-mentioned target user can more intuitively feel the above-mentioned Coanda effect level of the above-mentioned target smart home through the terminal. The above-mentioned terminal includes an APP in a mobile phone or tablet, and after the above-mentioned actual performance information is sent, the information input interface of the air conditioner installer will receive a reminder that the information push is completed, and the relevant settings can be completed and the machine can be turned on normally.

[0076] In order to further ensure that the above-mentioned target users have a better experience, according to a specific embodiment of the present application, the above-mentioned target performance information also includes a fan positioning address and / or airflow distribution information. The above-mentioned fan positioning address is used to characterize the recommended position of the fan. The above-mentioned fan is used to alleviate the Coanda effect of the above-mentioned target smart home. The above-mentioned airflow distribution information is used to characterize the airflow distribution of the space where the above-mentioned target smart home is located when the above-mentioned target smart home is blowing out air. The above-mentioned target performance information also includes the above-mentioned fan positioning address and airflow distribution information, which ensures that the above-mentioned target users can also obtain the recommended position of the fan and the airflow distribution diagram based on the above-mentioned target performance information. On the one hand, when the above-mentioned smart home has been installed, the above-mentioned target user can place the fan at the above-mentioned fan positioning address so that the fan can better alleviate the Coanda effect of the above-mentioned target smart home. On the other hand, the above-mentioned target user can also feel the airflow distribution of the above-mentioned target smart home more intuitively based on the above-mentioned airflow distribution information, which further ensures that the above-mentioned target user has a better experience.

[0077] It should be noted that the fan positioning address is the impact point of the airflow on the wall in the Coanda effect, that is, the position where the airflow direction changes, and the airflow distribution information is the airflow cloud map of the simulation analysis.

[0078] Of course, the above-mentioned target performance information may also include other relevant information. For example, when the above-mentioned target smart home has not been installed, the above-mentioned target performance information may provide a recommended location of the above-mentioned target smart home, that is, the recommended installation height and the distance from nearby walls.

[0079] Specifically, the information feedback process of the smart home mentioned above enables the accurate and rapid acquisition of relevant data of the target smart home in the context of big data and cloud computing, and the results are fed back to the target user in real time through the Internet of Things client.

[0080] In a specific embodiment, the target smart home includes an air conditioner. Of course, it can also be other smart home devices with an air outlet function.

[0081] The above-mentioned smart home information feedback device includes a processor and a memory. The above-mentioned receiving unit, the above-mentioned determining unit and the above-mentioned sending unit are all stored in the memory as program units, and the processor executes the above-mentioned program units stored in the memory to realize corresponding functions.

[0082] The processor includes a kernel, which retrieves the corresponding program unit from the memory. One or more kernels can be configured, and kernel parameters can be adjusted to address the poor user experience caused by the Coanda effect in existing smart homes.

[0083] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0084] An embodiment of the present invention provides a computer-readable storage medium having a program stored thereon, which, when executed by a processor, implements the above-mentioned smart home information feedback method.

[0085] An embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes the above-mentioned smart home information feedback method when running.

[0086] An embodiment of the present invention provides a device, comprising a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, at least the following steps are performed:

[0087] Step S101: receiving model information and location information of a target smart home, where the location information is information representing an expected installation location or an actual installation location of the target smart home;

[0088] Step S102: determining target performance information of the target smart home based on at least the model information and the location information, where the target performance information includes a Coanda effect level, which is used to indicate the severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location.

[0089] Step S103: Send the target performance information so that the target user receives the target performance information.

[0090] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0091] The present application also provides a computer program product, which, when executed on a data processing device, is adapted to execute a program for initializing at least the following method steps:

[0092] Step S101: receiving model information and location information of a target smart home, where the location information is information representing an expected installation location or an actual installation location of the target smart home;

[0093] Step S102: determining target performance information of the target smart home based on at least the model information and the location information, where the target performance information includes a Coanda effect level, which is used to indicate the severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location.

[0094] Step S103: Send the target performance information so that the target user receives the target performance information.

[0095] According to another typical embodiment of the present application, an electronic device is also provided, which includes one or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by the one or more processors, and the one or more programs include a method for executing any one of the above methods.

[0096] Figure 3 This is the information feedback workflow diagram for smart home. Figure 3 Provide detailed explanation.

[0097] Input the above model information through the information input interface;

[0098] confirming whether the model information exists in the first database, and if the model information exists in the first database, inputting the first location information, where the first location information is used to represent the distance between the target smart home and the vertical wall closest to the target smart home;

[0099] determining whether the first position information is less than the predetermined threshold, and if the first position information is less than the predetermined threshold, obtaining the third position information, the third position information being used to represent side wall information of the target smart home close to the vertical wall, and inputting the second position information and the third position information, the second position information being used to represent the distance between the air outlet of the target smart home and the corresponding ground;

[0100] confirming whether the historical performance information corresponding to the first location information, the second location information, and the model information exists in the second database;

[0101] In a case where the target historical information exists in the second database, determining the historical performance information corresponding to the target historical information as the target performance information;

[0102] If the target historical information does not exist in the second database, preliminary house scene data is created and converted into house graphic element information, and the cloud digital model library is updated;

[0103] Generate target house scene data, wherein the target house scene data is a three-dimensional simulation model of the target smart home;

[0104] Performing the above-mentioned cloud computing on the above-mentioned target house scene data to obtain the above-mentioned target performance information and update the second database;

[0105] The target performance information is converted to obtain actual performance information, and the actual performance information is sent.

[0106] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the above-mentioned units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0108] The units described above as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0109] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0110] If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the above-mentioned methods of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0111] From the above description, it can be seen that the above embodiments of the present application achieve the following technical effects:

[0112] 1) In the information feedback method of the smart home of the present application, first, the model information and location information of the target smart home are received, wherein the above-mentioned location information is the information of the expected installation location or the actual installation location of the above-mentioned smart home; then, the target performance information of the above-mentioned target smart home is determined based on at least the above-mentioned model information and the above-mentioned location information, wherein the above-mentioned target performance information includes a Coanda effect level that characterizes the severity of the above-mentioned Coanda effect occurring at the above-mentioned target smart home at the above-mentioned expected installation location or the above-mentioned actual installation location; finally, the above-mentioned target performance information is sent to the target customer, so that the target user receives the above-mentioned target performance information. Compared with the problem of poor user experience caused by the Coanda effect in smart homes in the prior art, the information feedback method of the smart home in the present application receives the model information and the location information of the target smart home, wherein the location information can be information of the actual installation location of the target smart home or information of the expected installation location of the target smart home. Then, based on the model information and the location information, the target performance information of the target smart home is determined, that is, the severity of the Coanda effect generated by the target smart home device when the target smart home is at the actual installation location or the expected installation location, and the target performance information is sent, thereby ensuring that the target user receives the target performance information. On the one hand, when the smart home has not been installed, that is, when the location information is information of the expected installation location, the target user can change the expected installation location of the target smart home based on the target performance information. On the other hand, when the smart home has been installed, the target user can use other methods to alleviate the Coanda effect generated by the target smart home. This solves the problem of poor user experience caused by the Coanda effect in smart homes in the prior art and ensures that the target user has a good experience using the smart home.

[0113] 2) In the information feedback device of the smart home of the present application, the model information and location information of the target smart home are received by the receiving unit, and the location information is information representing the expected installation location of the target smart home or the actual installation location; the target performance information of the target smart home is determined by the determining unit at least based on the model information and the location information, and the target performance information includes a Coanda effect level, and the Coanda effect level is used to represent the severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location; the target performance information is sent by the sending unit so that the target user receives the target performance information. Compared with the problem of poor user experience caused by the Coanda effect in smart homes in the prior art, the information feedback device of the smart home in the present application receives the model information and the location information of the target smart home, wherein the location information can be information of the actual installation location of the target smart home or information of the expected installation location of the target smart home, and then determines the target performance information of the target smart home based on the model information and the location information, that is, the severity of the Coanda effect generated by the target smart home device when the target smart home is at the actual installation location or the expected installation location, and sends the target performance information, thereby ensuring that the target user receives the target performance information. On the one hand, when the smart home has not been installed, that is, when the location information is information of the expected installation location, the target user can change the expected installation location of the target smart home based on the target performance information. On the other hand, when the smart home has been installed, the target user can use other methods to alleviate the Coanda effect generated by the target smart home, thereby solving the problem of poor user experience caused by the Coanda effect in smart homes in the prior art and ensuring that the target user has a good experience using the smart home.

[0114] The above description is merely a preferred embodiment of the present application and is not intended to limit the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of protection of the present application.

Claims

1. A smart home information feedback method, characterized in that: The smart home has a ventilation function, and the method includes: Receiving model information and location information of a target smart home, wherein the location information is information representing an expected installation location or an actual installation location of the target smart home; determining target performance information of the target smart home based at least on the model information and the location information, the target performance information including a Coanda effect level, the Coanda effect level being used to indicate a severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location; Sending the target performance information so that the target user receives the target performance information, The location information includes first location information and second location information, the first location information being used to represent a distance between the target smart home and a vertical wall closest to the target smart home, the vertical wall not being in contact with the target smart home, and the second location information being used to represent a distance between an air outlet of the target smart home and a corresponding ground surface. Determining target performance information of the target smart home based at least on the model information and the location information includes: if the model information and the first location information meet a predetermined condition, determining the target performance information of the target smart home based at least on the first location information, the second location information, and the model information, the predetermined condition including: the model information existing in a first database and the first location information being less than a predetermined threshold; The target performance information also includes: a fan positioning address and / or airflow distribution information, wherein the fan positioning address is used to characterize the recommended position of the fan, and the fan is used to alleviate the Coanda effect of the target smart home. The airflow distribution information is used to characterize the airflow distribution in the space where the target smart home is located when the target smart home is exhausting air. The fan positioning address is the impact point of the airflow on the wall in the Coanda effect.

2. The method according to claim 1, characterized in that Determining the target performance information of the target smart home based on at least the first location information, the second location information, and the model information includes: Obtaining a second database, the second database including historical information of a plurality of smart homes and historical performance information corresponding to the historical information, the historical information including historical model information, historical first location information, and historical second location information; If target historical information exists in the second database, determining that the historical performance information corresponding to the target historical information is the target performance information, and the target historical information is the same as the first location information, the second location information, and the model information; In a case where the target history information does not exist in the second database, predetermined processing is performed on the first location information, the second location information, and the model information to obtain the target performance information, and the predetermined processing at least includes cloud computing.

3. The method according to claim 2, characterized in that After performing predetermined processing on the first location information, the second location information, and the model information to obtain the target performance information, the method further includes: The second database is updated so that the second database includes the first location information, the second location information, the model information and the corresponding target performance information.

4. The method according to claim 2, characterized in that Before performing predetermined processing on the first location information, the second location information, and the model information to obtain the target performance information, the method further includes: When the first position information is less than the predetermined threshold, third position information is obtained, where the third position information is used to characterize side wall information of the target smart home close to the vertical wall, where the side wall information includes a left wall or a right wall.

5. The method according to claim 4, characterized in that Performing predetermined processing on the first location information, the second location information, and the model information to obtain the target performance information includes: Establishing preliminary house scene data according to the first location information, the second location information, the third location information, and the model information, wherein the preliminary house scene data is used to represent the size data of the space where the target smart home is located; Performing information conversion on the prepared house scene data to obtain target house scene data, wherein the target house scene data is a three-dimensional simulation model of the target smart home; The target house scene data is subjected to cloud computing to obtain the target performance information.

6. The method according to claim 1, characterized in that Sending the target performance information includes: Performing information conversion on the target performance information to obtain actual performance information; The actual performance information is sent.

7. An information feedback device for a smart home, characterized in that: The smart home has a ventilation function, and the device includes: a receiving unit, configured to receive model information and location information of a target smart home, wherein the location information is information representing an expected installation location or an actual installation location of the target smart home; a determining unit, configured to determine target performance information of the target smart home based at least on the model information and the location information, the target performance information including a Coanda effect level, the Coanda effect level being used to indicate a severity of the Coanda effect occurring at the target smart home at the expected installation location or the actual installation location; a sending unit, configured to send the target performance information so that the target user receives the target performance information; The location information includes first location information and second location information, the first location information is used to represent the distance between the target smart home and the vertical wall closest to the target smart home, and the vertical wall is not in contact with the target smart home, and the second location information is used to represent the distance between the air outlet of the target smart home and the corresponding ground. The determination unit includes a determination module, which is used to determine the location of the target smart home based on at least the first location information and the second location information when the model information and the first location information meet a predetermined condition. location information and the model information, determining the target performance information of the target smart home, the predetermined condition comprising: the model information exists in a first database and the first location information is less than a predetermined threshold; The target performance information also includes: a fan positioning address and / or airflow distribution information, wherein the fan positioning address is used to characterize the recommended position of the fan, and the fan is used to alleviate the Coanda effect of the target smart home. The airflow distribution information is used to characterize the airflow distribution in the space where the target smart home is located when the target smart home is exhausting air. The fan positioning address is the impact point of the airflow on the wall in the Coanda effect.

8. A computer-readable storage medium, characterized in that The computer-readable storage medium includes a stored program, wherein the program executes the method according to any one of claims 1 to 6.

9. A processor, characterized in that: The processor is configured to run a program, wherein the program executes the method according to any one of claims 1 to 6 when running.

10. An electronic device, characterized in that: include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include instructions for executing the method according to any one of claims 1 to 6.

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