CN116401731A - Smart home layout diagram generation method and device and computer readable storage medium - Google Patents
Smart home layout diagram generation method and device and computer readable storage medium Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a device and a computer-readable storage medium for generating an intelligent home layout diagram, which are used for acquiring room information of a target house and determining coordinate information of each room; determining deployment demand information of the intelligent equipment according to a preset layout rule based on room information and coordinate information, wherein the deployment demand information comprises the types, the numbers and the deployment positions of the intelligent equipment; generating an intelligent home layout diagram of the target house, marking information of the intelligent devices in an area corresponding to the deployment position of each intelligent device on the intelligent home layout diagram, wherein the information of the intelligent devices at least reflects the types of the intelligent devices, and improving convenience of users in deploying intelligent home and improving user experience in certain implementation processes.
Description
Technical Field
The embodiment of the invention relates to the field of intelligent home, in particular to a method, a device and a computer readable storage medium for generating an intelligent home layout.
Background
With the progress of computer and communication technologies, various intelligent devices are capable of realizing more various and powerful functions. Under the current age, intelligent home has become an important part for improving the convenience and intelligence degree of people's daily life. However, the brands of the smart home in the related technology are numerous, various kinds of smart devices related to the smart home are various, the deployment design process of the smart home is complex, the user experience is low, and the popularization of the smart home is not facilitated.
Disclosure of Invention
The intelligent home layout diagram generation method, the intelligent home layout diagram generation device and the computer readable storage medium solve the technical problems that the deployment design process of the intelligent home is complex and the user experience is low.
The embodiment of the invention provides a method for generating an intelligent home layout diagram, which comprises the following steps:
acquiring room information of a target house and determining coordinate information of each room;
determining deployment demand information of the intelligent equipment according to a preset layout rule based on the room information and the coordinate information, wherein the deployment demand information comprises the types, the numbers and the deployment positions of the intelligent equipment;
generating an intelligent home layout diagram of the target house, wherein the intelligent home layout diagram is provided with information of the intelligent devices, and the information of the intelligent devices at least reflects the types of the intelligent devices, wherein the information of the intelligent devices is marked on the intelligent home layout diagram corresponding to the deployment position of each intelligent device.
The embodiment of the invention also provides an intelligent home layout diagram generating device, which comprises a processor, a memory and a communication bus;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more computer programs stored in the memory to implement the steps of the smart home layout generation method as described above.
Embodiments of the present invention also provide a computer storage medium storing one or more programs executable by one or more processors to implement the steps of the smart home layout generation method as described above.
According to the intelligent home layout diagram generation method, the intelligent home layout diagram generation device and the computer storage medium, the deployment demand information of the intelligent devices is determined according to the preset layout rules through the room information and the coordinate information of each room, the deployment of the intelligent devices is marked in an imaging mode, a user can intuitively know what intelligent devices are required to be deployed at what positions, convenience of the user in the process of deploying intelligent home is improved in certain implementation processes, and user experience is improved.
Additional features and corresponding advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the invention.
Drawings
Fig. 1 is a basic flow diagram of a smart home layout generation method according to a first embodiment of the present invention;
fig. 2 is a detailed flowchart of a smart home layout generation method according to a first embodiment of the present invention;
fig. 3 is a schematic diagram of a rectangular area corresponding to a determined target house according to a first embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating a distribution of idealized deployment coordinates of a hotspot device according to a first embodiment of the present invention;
FIG. 5 is a second schematic diagram of the distribution of idealized deployment coordinates of a hotspot device in accordance with the first embodiment of the present invention;
fig. 6 is a detailed flow chart diagram II of a smart home layout generation method according to the first embodiment of the present invention;
FIG. 7 is a schematic diagram showing coordinates of a room according to the first embodiment of the present invention;
fig. 8 is a detailed flow chart diagram III of a smart home layout generation method according to the first embodiment of the present invention;
fig. 9 is a flow chart of a smart home layout diagram generating method according to a second embodiment of the present invention;
fig. 10 is a flowchart illustrating a method for determining actual deployment coordinates of a hotspot device according to a second embodiment of the present invention;
FIG. 11 is a schematic diagram of determining actual deployment coordinates of a hotspot device according to a second embodiment of the present invention;
fig. 12 is a schematic view of a window of a hall according to a second embodiment of the present invention;
fig. 13 is a generated smart home layout diagram according to a second embodiment of the present invention;
fig. 14 is a schematic structural diagram of an intelligent home layout diagram generating device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following detailed description of the embodiments of the present invention is given with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Embodiment one:
in order to improve the convenience of a user in deploying an intelligent home and improve user experience, the embodiment provides a method for generating an intelligent home layout, please refer to fig. 1, which includes:
s101, acquiring room information of a target house and determining coordinate information of each room;
acquisition of room information of the target house and determination of coordinate information of each room includes, but is not limited to, identification from a house pattern, or input by a user through other means. Room information includes, but is not limited to, the type of room, such as indicating that the room is a living room, bedroom, study, toilet, kitchen, etc., and in some implementations, the hallway, balcony, etc. are treated as a room for simplicity. The coordinate information of each room includes, but is not limited to, coordinates of each vertex of the room, coordinates of various objects within the room, and at least one of coordinates of a central area of the room. The coordinate information takes a certain point as the origin of coordinates, and illustratively, the position of a certain angle of the target house can be selected as the origin of coordinates, for example, the lower left corner of the target house is the origin of coordinates. Or when the house pattern diagram of the target house exists, a certain angle of the house pattern diagram is taken as an origin of coordinates, such as the lower left corner of the house pattern diagram. Since the corners of adjacent sides of the house type graph or the rooms are generally vertical, the axis of abscissa and ordinate can be set along the directions of the corners of the adjacent sides of the house type graph or the rooms, so that coordinate information can be determined conveniently. Of course, it is understood that the relative relationship between the coordinate information of the target house is fixed, and the origin of coordinates and the axis of abscissa and ordinate can be determined arbitrarily in practical application.
S102, determining deployment demand information of the intelligent equipment according to a preset layout rule based on room information and coordinate information;
the deployment requirement information comprises the type, the number and the deployment position of the intelligent devices. According to the intelligent home layout diagram generation method, the requirement is not required to be set by a user in advance, the deployment requirement of the intelligent equipment is determined based on the actual condition of the target house, and the deployment requirement information can provide reference suggestions for the deployment of the intelligent equipment by the user.
S103, generating an intelligent home layout diagram of the target house;
the area corresponding to the deployment position of each intelligent device on the intelligent home layout chart marks the information of the intelligent device. The information of the intelligent device at least reflects the kind of the intelligent device. In the smart home layout generated in this embodiment, the smart device is marked at the location where it is proposed to be deployed, and when the user views the smart home layout, it can intuitively learn what smart device needs to be deployed at what location. The information marking mode of the intelligent home layout diagram for the intelligent device includes, but is not limited to, text, pictures and other forms, and by way of example, the name of the type of the intelligent device can be directly presented in an area corresponding to a deployment position of the intelligent device on the intelligent home layout diagram, and in another example, the pictures of the intelligent device are set in an area corresponding to the deployment position of the intelligent device on the intelligent home layout diagram. Optionally, the information of the smart device may also include more content, such as optional models, specifications, notes, etc. of the smart device. In practical application, as an example, on the smart home layout diagram, only part of information of the smart device can be directly displayed in an area corresponding to the smart device, and when a user clicks the area, more complete and specific information is displayed. Of course, the above example needs to be based on the smart home layout being a dynamically interactable presentation, but the smart home layout of this embodiment also includes a static image, and when the smart home layout is a static image, the required information is displayed on the smart home layout according to the actual requirement.
Referring to fig. 2, in some embodiments, determining deployment requirement information of the intelligent device according to a preset layout rule based on the room information and the coordinate information includes:
s201, determining the number of hot spot devices and the idealized deployment coordinates of each hot spot device according to the length and the width of a target house;
for example, the coverage capabilities of the hotspot devices may be preset, considering that several hotspot devices are able to cover the target house completely or over an area above a certain proportion of the target house. Hotspot devices include, but are not limited to, CPE devices (Customer Premise Equipment ), home routers, and the like, network devices capable of converting mobile communication signals or wired broadband signals to local area network signals for connection by other intelligent devices. In practical applications, the coverage capability of the hotspot device may be set according to practical situations. As an example, the length and width of the target house may be the length of the longest edge and the width of the widest edge, and the number of hot spot devices is determined by using the longest edge and the widest edge, so as to ensure that the number of hot spot devices can meet the coverage requirement of the target house. As another example, the length and width of the target house may also be the maximum difference in coordinates in the length direction and the maximum difference in coordinates in the width direction.
In some embodiments, determining the number of hotspot devices and the idealized deployment coordinates of each hotspot device based on the length and width of the target house comprises:
according to the house type information, a rectangular area corresponding to the target house is determined, as shown in fig. 3, the target house is enclosed in the rectangular area, the rectangular area is the smallest rectangle capable of enclosing the target house inside, the length and the width of the rectangular area are taken as the length X0 and the width Y0 of the target house in this example to determine the number of hot spot devices, and the ideal deployment coordinates of the hot spot devices are coordinates when the hot spot devices are uniformly arranged in the rectangular area. The setting of the hot spot device in this embodiment includes, but is not limited to, equally dividing in the length and width directions, and setting the hot spot device on equally dividing lines in the length and width directions; or equally dividing the rectangular area into a plurality of smaller areas, and arranging the hot spot device in the center of the smaller areas. It should be noted that when the number of hot spot devices is one, then it idealizes the deployment coordinates as the center of the rectangular area. As a further example, as shown in fig. 4, the number of the hotspot devices determined in this example is two, the rectangular area 100 corresponding to the target house is a rectangular area, and the idealized deployment coordinates 201 of the two hotspot devices are respectively in one third and two thirds of the length in the length direction of the rectangular area. In the example of fig. 5, the hotspot device is four, the rectangular area 100 may be quartered into four sub-rectangular areas, and the idealized deployment coordinate 201 of each hotspot device is the center of the halved sub-rectangular area.
It will be appreciated that the idealized deployment coordinate determined in the step S201 is not necessarily equal to the location where the hotspot device is actually to be deployed, for example, there may be other factors unsuitable for deploying the hotspot device in the location corresponding to the idealized deployment coordinate.
S202, respectively determining the actual deployment coordinates of each hot spot device closest to the idealized deployment coordinates according to the idealized deployment coordinates of each hot spot device and the room information;
through step S202, on the basis of the idealized deployment coordinates, the actual deployment coordinates suitable for deploying the hotspot device are also determined through the following step S202.
For example, referring to fig. 6, in some embodiments, step S202 may specifically include:
s2021, when the idealized deployment coordinate is in the range of the target room, determining that the actual deployment coordinate of the hot spot device is in the range of the target room;
s2022, when the ideal deployment coordinate is not in the range of the target room, searching the target room closest to the ideal deployment coordinate, and determining that the actual deployment coordinate of the hot spot device is in the range of the target room closest to the ideal deployment coordinate.
It will be appreciated that in some examples coordinates of a certain corner of each room may be acquired, such as the lower left corner, and a determination may be made as to whether the location corresponding to the idealized deployment coordinates is within the room based on information such as the length, width, etc. of each room. As a more specific example, for example, as shown in fig. 7, the coordinates of the lower left corner of a certain room (the directions of this example are all referred to by the drawing) are (Xn, ym), the forward direction of the X axis is rightward, the forward direction of the Y axis is upward, the room has a length of 3 (in meters) and a width of 2, and when the X value of the idealized deployment coordinates is not less than Xn, not more than xn+3; when the Y value is not less than Ym and not greater than ym+2, then the idealized deployment coordinate may be considered to be within the house of the room.
The target room of the present embodiment includes, but is not limited to, a main active area of a resident in real life, and in order to set a hot spot device, the target room may be configured with a portal. In some implementations, the target room includes, but is not limited to, at least one of the following rooms configured with a portal: bedrooms, study rooms, living rooms. In practical application, a specific target room can be confirmed according to practical requirements. Meanwhile, in some implementations, there may be multiple target rooms that are closest to the ideal deployment coordinate, the target rooms may be prioritized, and when more than one target room is found, the actual deployment coordinate of the hotspot device is determined in the target room with the highest priority.
Referring to fig. 8, to more accurately confirm the location of the deployment of the smart device, in some embodiments, determining deployment requirement information of the smart device according to a preset layout rule based on the room information and the coordinate information includes:
s301, determining coordinate information of a reference object with correlation with the position of the intelligent device in each room;
determining the coordinate information for each room includes determining the coordinate information for the reference objects.
S302, determining the actual deployment coordinates of the intelligent equipment according to the coordinate information of the reference object corresponding to the intelligent equipment.
The embodiment utilizes the reference object to more accurately locate the actual deployment coordinates of the intelligent device through the determination of the coordinates of the reference object in the room.
Optionally, the smart device and the reference object having a correlation with the location of the smart device include at least one of:
the intelligent device is a hot spot device, and the reference object comprises a network port;
the intelligent device is an intelligent switch, and the reference object comprises doors of each room;
the intelligent equipment is video and audio equipment, and the reference object comprises a television wall;
the intelligent device is an intelligent curtain, and the reference object comprises a window.
In some embodiments, acquiring room information of the target house and determining coordinate information of each room includes any one of:
acquiring a house type diagram input by a user, acquiring room information from the house type diagram, and determining coordinate information of each room;
acquiring a building and a room number of a target house, acquiring a house type diagram of the target house according to the building and the room number, acquiring room information from the house type diagram, and determining coordinate information of each room;
and obtaining a photo of the target house, determining room information according to the photo of the target house, and determining coordinate information of each room.
The manner in which the floor plan of the target house is obtained based on the floor and the house number includes, but is not limited to, searching from the internet, for example, querying the developer's website, or may also create and maintain a corresponding database from which to query.
According to the intelligent home layout diagram generation method provided by the embodiment of the invention, the room information of the target house is obtained, and the coordinate information of each room is determined; determining deployment demand information of the intelligent equipment according to a preset layout rule based on room information and coordinate information, wherein the deployment demand information comprises the types, the numbers and the deployment positions of the intelligent equipment; generating an intelligent home layout diagram of the target house, and enabling a user to intuitively know what intelligent equipment needs to be deployed at what position; the convenience of the user in deploying the intelligent home is improved, and the user experience is improved.
Embodiment two:
in order to better understand the smart home layout generation method of the embodiment of the present invention, the implementation steps of the smart home layout generation method are further described in this embodiment in combination with specific examples.
As shown in fig. 9, in this example, the smart home layout generation method includes:
s401, acquiring a house type diagram input by a user and acquiring house information and coordinate information;
after the house type graph is obtained, the house type graph can be identified, and each room in the house is determined. The user input house type graph marks the sizes of all rooms of the whole house, and the coordinates of all rooms can be determined according to the sizes marked in the house type graph. In this example, the lower left corner of the house type drawing (the direction in this example is referred to by the direction when the user inputs the house type drawing) is taken as the origin of coordinates, the right direction is the forward direction of the X axis, the upward direction is the forward direction of the Y axis, and the coordinates of the lower left corner of the room are described as the coordinates of the room.
In this example, the coordinates of the network port are also obtained, if the network port is marked on the house type diagram, the coordinates of the network port can be obtained when the house type diagram is identified, and if the position of the network port is not marked on the house type diagram, the position of the network port can be input by the user.
The house information of the present example includes the identified kinds of the respective rooms, which can be input by the user, for example, the user marks each room on the house pattern after inputting the house pattern. In other examples, the type of room may also be determined when the house pattern is identified, and illustratively, feature elements in each room may be identified to determine the type of room, including, but not limited to, if a pattern of beds is identified in a certain room, then determining the type of room as a bedroom; if the pattern of the toilet bowl is drawn in a certain room, determining the type of the room as a toilet; if the fact that the graph of the dining table is drawn in a certain room is recognized, determining the type of the room as a restaurant; if the pattern of the kitchen is drawn in a certain room, determining the type of the room as a kitchen; if the pattern of the sofa and/or the television is drawn in a certain room, the type of the room is determined to be a living room. Of course, some house types may be directly printed with room type characters, or may be directly identified.
The coordinate information of this example also includes the coordinates of the door and window, and information of the size of the door and window, etc. is acquired.
For easy understanding, the house pattern of this example reflects the shape of the target house as a whole as a rectangle, the long side of the target house as X0, and the wide side as Y0.
The present example assumes that three windows are provided in each room, and in practical applications, the number of windows and the width of the windows reflect the actual situation of the target house.
As shown in the following table 1, partial information (units of length in table are meters) acquired by the present example before generating the smart home layout diagram is shown:
TABLE 1
S402, determining the number and the positions of hot spot devices;
illustratively, the number of hotspot devices is
(rounding off);
in this example, the hot spot device can only be arranged in the study room, the bedroom 1, the bedroom 2, the bedroom 3 and the living room provided with the network port, namely the study room, the bedroom 1, the bedroom 2, the bedroom 3 and the living room are target rooms.
If the number of the hot spot devices is determined to be 1, the center of the target house
And (3) the ideal deployment coordinate of the hot spot equipment is determined, and whether the ideal deployment coordinate is suitable or not is judged.
Referring to fig. 10, a process for determining actual deployment coordinates of each hotspot device according to the idealized deployment coordinates and room information in this example includes:
s501, whether the ideal deployment coordinate is in a target room or not;
if yes, executing step S502, and if not, executing step S505;
the target rooms of this example include study rooms, bedrooms, and living rooms.
S502, whether an idealized deployment coordinate is in a study or not;
if yes, go to step S506, otherwise go to step S503.
S503, whether the ideal deployment coordinate is in a bedroom or not;
if yes, go to step S508, otherwise go to step S504.
S504, determining that the actual deployment coordinates are in a living room;
s505, whether a study exists in the range of the ideal deployment coordinate alpha;
if yes, go to step S506, otherwise go to step S507.
S506, determining the actual deployment coordinates in a study;
s507, whether a bedroom exists in the range of the ideal deployment coordinate alpha;
if yes, go to step S508, otherwise go to step S509.
S508, determining that the actual deployment coordinate is in the bedroom;
s509, whether a living room exists in the range of the ideal deployment coordinate alpha;
if yes, go to step S504, otherwise go to step S510.
S510, increasing the value of alpha;
each time step S510 is performed, the specific increasing step size is set according to the actual situation, for example, 0.5 meter, 1 meter, 1.5 meter, etc.
In this example, if the idealized deployment coordinate is not in the target room, searching whether the target room exists in the range of alpha meters near the idealized deployment coordinate, if not, increasing the searching range by a preset step length, namely increasing the value of alpha, until the target room exists in the range of alpha meters near the idealized deployment coordinate, and determining that the hot spot equipment is arranged in the target room, namely that the actual deployment coordinate is in the target room. Referring to the flow chart of fig. 10, in this example, if more than one target room is searched in the α meter range around the ideal deployment coordinate, the actual deployment coordinate is determined to be in the target room with higher priority according to the order of the study room, the bedroom, and the living room from higher priority. For example, if more than one bedroom is searched simultaneously, it may be determined by means of random selection or user designation, etc., which bedroom the actual deployment coordinates are in.
In order to better understand the determination process of the coordinates of the deployment location of the hotspot device, this embodiment provides another specific example, please refer to fig. 11, first determine that the number of hotspot devices is 1, and determine the coordinates of the center of the house as the idealized deployment coordinates 201 of the hotspot device. For example, as shown in fig. 11, the coordinates of the center of the house may be determined based on converting the house into a more approximate rectangular area 100, and regarding the center of the rectangular area 100 as the center of the house, this may avoid difficulty in determining the center of the entire house due to the presence of some irregularly shaped or curved rooms of the house, etc., and the present example has the smallest rectangular area capable of enclosing the house inside as the rectangular area for determining the center of the house. In practice, the center of the house may be determined by other means, such as determining a rectangle or even other basic pattern that approximates the overall footprint of the house.
In the example of fig. 11, idealized deployment coordinates 201 of the hotspot device are determined, and the idealized deployment coordinates 201 are known to be in the hallway, based on the coordinates and size of the individual rooms. First, it is determined whether or not the study 102, the bedroom 103, or the living room 104 exists within 0.5 m of the idealized deployment coordinate 201, and in this example, the distance z1 from the idealized deployment coordinate 201 to the bedroom 103 is 0.8 m, and the distance z2 from the living room 104 is 1.3 m, so that the target room does not exist within 0.5 m of the idealized deployment coordinate 201 in this example. And expanding the search range to 1 meter, and determining that the bedroom 103 exists in the range of 1 meter of the idealized deployment coordinate 201, and determining that the actual deployment coordinate of the hot spot equipment is in the bedroom 103.
Further, the coordinates of the portal are also obtained in this embodiment, and the hot spot device is disposed in an area close to the portal, for example, the hot spot device may be disposed within a range of 1 meter from the portal. And after the target room is determined, determining the actual deployment coordinates of the hot spot equipment according to the coordinates of the internet access in the target room.
It will be appreciated that when the number of identified hotspot devices is more than one, the hotspot devices may determine the corresponding actual deployment coordinates based on the respective idealized deployment coordinates, respectively, according to the steps described above. For example, in some examples, if more than one target room is searched, it may also be determined whether other hotspot devices exist in the target rooms, and the actual deployment coordinates of the hotspot devices are preferentially determined as coordinates within the range of the target room where the hotspot devices are not deployed.
S403, determining the number and the positions of other intelligent devices;
the intelligent device of the embodiment further comprises an intelligent lamp, and the intelligent lamp can determine the required information such as the specification, the number and the like according to the area size of each room. In this embodiment, assuming that only one intelligent light is deployed in each room, the coordinates of the deployment position of the intelligent light are shown in table 2 below.
In the example of table 2 below, the intelligent lamps in each room are disposed in the middle position of the room, and in practical application, the coordinates of the intelligent lamp disposition positions may not dispose the intelligent lamps due to some factors, and based on the coordinates of the intelligent lamp disposition positions in table 2 above, other positions suitable for disposing the intelligent lamps in the room may be determined as the practical disposition positions of the intelligent lamps. For example, if an obstacle exists at the coordinates of the deployment position of the intelligent lamp in a certain room, and the intelligent lamp cannot be deployed, searching whether the obstacle still exists in a certain range of the coordinates of the deployment position of the intelligent lamp, and if the obstacle does not exist, determining that the position which is a certain distance away from the coordinates of the deployment position of the intelligent lamp is the coordinates of the actual deployment position of the intelligent lamp.
TABLE 2
As described above, in this embodiment, coordinate information of objects such as a door and a window is also obtained, and in this embodiment, a certain position association exists between the intelligent switch and the door. Therefore, when determining the coordinates of the deployment position of the smart switch, the door can be taken as a reference object, and the coordinates of the deployment position of the smart switch can be accurately determined based on the door. As a specific example, the layout rules for the intelligent switch may be:
when the door is on the left side of the long side of the room, the intelligent switch is deployed at a position 20 cm to the right of the door's right side threshold.
When the door is on the right side of the long side of the room, the intelligent switch is deployed at a position 20 cm to the left of the door's left threshold.
When the door is on the upper side of the short side of the room, the intelligent switch is deployed at a position 20 cm below the threshold on the lower side of the door.
When the door is on the underside of the short side of the room, the intelligent switch is deployed at a position 20 cm above the door's upper side threshold.
It should be noted that in the above example, it is assumed that the long edge of the room is disposed in the left-right direction and the short edge is disposed in the up-down direction. In practical application, the layout rule of the intelligent switch can be set as other arbitrary layout rules.
The coordinates of the deployment positions of the intelligent switches determined according to the above flow are shown in the following table 3, and the coordinates in table 3 are the coordinates of the deployment positions of the intelligent switches.
TABLE 3 Table 3
| Room | The door is arranged on the left side of the long side | The door is arranged on the right side of the long side | The door is arranged on the upper side of the short side | The door is arranged at the lower side of the short side |
| Hall hall | (x 1 +a1+0.2,y 1 ) | (x 1 +A2-a1-0.2,y 1 ) | (x 1 ,y 1 +A1-a1-0.2) | (x 1 ,y 1 +a1+0.2) |
| Parlor (living room) | (x 2 +b1+0.2,y 2 ) | (x 2 +A4-b1-0.2,y 2 ) | (x 2 ,y 2 +A3-b1-0.2) | (x 2 ,y 2 +b1+0.2) |
| Restaurant | (x 3 +c1+0.2,y 3 ) | (x 3 +A6-c1-0.2,y 3 ) | (x 3 ,y 3 +A5-c1-0.2) | (x 3 ,y 3 +c1+0.2) |
| Kitchen | (x 4 +d1+0.2,y 4 ) | (x 4 +B2-d1-0.2,y 4 ) | (x 4 ,y 4 +B1-d1-0.2) | (x 4 ,y 4 +d1+0.2) |
| Toilet 1 | (x 5 +e1+0.2,y 5 ) | (x 5 +C2-e1-0.2,y 5 ) | (x 5 ,y 5 +C1-e1-0.2) | (x 5 ,y 5 +e1+0.2) |
| Toilet 2 | (x 6 +f1+0.2,y 6 ) | (x 6 +C4-f1-0.2,y 6 ) | (x 6 ,y 6 +C3-f1-0.2) | (x 6 ,y 6 +f1+0.2) |
| Bedroom 1 | (x 7 +g1+0.2,y 7 ) | (x 7 +D2-g1-0.2,y 7 ) | (x 7 ,y 7 +D1-g1-0.2) | (x 7 ,y 7 +g1+0.2) |
| Bedroom 2 | (x 8 +h1+0.2,y 8 ) | (x 8 +D4-h1-0.2,y 8 ) | (x 8 ,y 8 +D3-h1-0.2) | (x 8 ,y 8 +h1+0.2) |
| Bedroom 3 | (x 9 +j1+0.2,y 9 ) | (x 9 +D6-j1-0.2,y 9 ) | (x 9 ,y 9 +D5-j1-0.2) | (x 9 ,y 9 +j1+0.2) |
| Study room | (x 10 +k1+0.2,y 10 ) | (x 10 +E2-k1-0.2,y 10 ) | (x 10 ,y 10 +E1-k1-0.2) | (x 10 ,y 10 +k1+0.2) |
| Corridor | (x 11 +m1+0.2,y 11 ) | (x 11 +F2-m1-0.2,y 11 ) | (x 11 ,y 11 +F1-m1-0.2) | (x 11 ,y 11 +m1+0.2) |
| Balcony 1 | (x 12 +n1+0.2,y 12 ) | (x 12 +G2-n1-0.2,y 12 ) | (x 12 ,y 12 +G1-n1-0.2) | (x 12 ,y 12 +n1+0.2) |
| Balcony 2 | (x 13 +p1+0.2,y 13 ) | (x 13 +G4-p1-0.2,y 13 ) | (x 13 ,y 13 +G3-p1-0.2) | (x 13 ,y 13 +p1+0.2) |
It will be appreciated that there is a positional association between the smart window covering and the window, and therefore, when determining the coordinates of the deployment position of the smart window covering, the window is taken as a reference object, and the coordinates of the deployment position of the smart window covering are accurately determined based on the coordinates of the window. Referring to fig. 12, in this embodiment, the window of the hall is similar to the hall, but not shown in this embodiment, and in practical application, the coordinates of the window are obtained according to the actual situation. Intelligent curtain in this embodimentWider than single side of window by X i . The coordinates of the window can be determined, see table 4 below, where the length is in meters.
TABLE 4 Table 4
In this embodiment, the position of the television wall is also identified, and, by way of example, a television graphic in the house type graph may be identified, and then the wall close to the television is the television wall; or the position of the sofa pattern in the living room can be identified, and one wall opposite to the wall close to the sofa pattern is a television wall. When no object such as a television or a sofa which can help to judge the setting position of the television is identified, the setting position of the television can be planned directly according to the shape of a room of a living room.
In this embodiment, the coordinates of the deployment position of the audio-visual device may be determined according to the coordinates of the tv wall, for example, the audio-visual device is deployed in the middle of the tv wall; the sofa in the living room can be used as a reference object, and the coordinates of the deployment position of the video and audio equipment are determined to be the position opposite to the sofa on the television wall. The deployment requirement information of the video and audio equipment can also comprise recommended size of the television, the viewing distance is obtained, and the recommended size is determined according to the viewing distance. The recommended size of the television can be marked as the information of the video equipment in the deployment position of the video equipment in the finally generated intelligent home layout. It can be understood that the recommended size of the television set in this embodiment is also applicable to the size of other video and audio devices playing video, such as the size projected by the projector. Table 5 below illustrates a comparison of recommended dimensions of a television set with viewing distance:
TABLE 5
Illustratively, the viewing distance may be assumed to be-1 meter (or other predetermined distance parameter) of the adjacent side of the video wall, or may be determined to be the viewing distance according to the coordinates of the deployment location of the audio-visual device and-1 meter (or other predetermined distance parameter) of the distance between the sofa or the opposite wall of the audio-visual device.
It will be appreciated that the present embodiment is merely illustrative of the above-mentioned intelligent devices, and in practical applications, other intelligent devices such as an air purifier, a smart night light, a smart toilet, etc. may be included but not limited to. For example, the intelligent device with a certain coverage range when the air purifier works can determine the coordinates of the deployment position by adopting a layout rule similar to the hot spot device, and the target room can be a room where households such as a study room, a bedroom and a living room can stay frequently; the intelligent night lamp can adopt the layout rule similar to the intelligent switch, in a room (such as a bedroom) where the intelligent night lamp is required to be arranged, the coordinates of the bed or the bedside cabinet are determined by taking objects such as the bed or the bedside cabinet as reference objects, and the coordinates of the deployment position of the intelligent night lamp are accurately determined based on the coordinates of the bed or the bedside cabinet. The intelligent closestool can determine the coordinates of the sewer pipe, and the coordinates of the deployment position of the intelligent closestool can be determined by taking the sewer pipe as a reference object.
S404, generating an intelligent home layout diagram displaying the intelligent device identifier;
after the deployment requirement information of the intelligent equipment is determined, at least part of the deployment requirement information is reflected on the intelligent home layout diagram. The intelligent device is displayed on the intelligent home layout chart in a graphic identification mode, and the graphic identification can reflect what intelligent device the intelligent device is. For example, as shown in fig. 13, a generated smart home layout map indicates a graph corresponding to the hotspot device 30 at a location where the hotspot device 30 is set, and if the smart home layout map is interactive, in some examples, further information of the hotspot device 30, such as a model, a coverage, and the like, may also be displayed after receiving a click of the graph of the hotspot device 30 by the user. The intelligent lamps 31 in each room are also shown in the intelligent home layout chart illustrated in fig. 13 in a circular shape, and for other intelligent devices, the intelligent home layout chart can be presented with corresponding identifiers, which is not described in detail in this example.
In some embodiments, a user may input a photograph of a house, obtain room information from the photograph of the house, and coordinate information of each room. The intelligent home layout generated by the embodiment of the invention comprises, but is not limited to, a plane layout similar to a house type diagram, and the plane layout can mark corresponding intelligent devices on corresponding positions of the house type diagram based on the coordinates of the determined deployment positions of the intelligent devices on the basis of the house type diagram. The intelligent home layout diagram can also be a three-dimensional effect diagram or a three-dimensional diagram of a house AR/VR scene, and corresponding intelligent devices can be marked on corresponding positions.
Therefore, by the intelligent home layout diagram generating method, the deployment requirement of the house on the intelligent equipment can be determined, and an intelligent home layout scheme suitable for the house can be generated for the user. After the user inputs the house type diagram or selects the house type of the house, the user can directly obtain an intelligent house layout diagram for marking the deployment position of the intelligent equipment, the convenience of the user in deploying the intelligent house is improved, the user can know how to realize the intelligent house deployment of the house even if the user is small in technology, and the user experience is improved.
Embodiment III:
the embodiment also provides an intelligent home layout diagram generating device, referring to fig. 14, which includes a processor 401, a memory 402, and a communication bus 403, wherein:
a communication bus 403 is used to enable connection communication between the processor 401 and the memory 402;
the processor 401 is configured to execute one or more computer programs stored in the memory 402 to implement at least one step of the smart home layout drawing generating method in the first and second embodiments.
The present embodiments also provide a computer-readable storage medium including volatile or nonvolatile, removable or non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, computer program modules or other data. Computer-readable storage media includes, but is not limited to, RAM (Random Access Memory ), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable readonly Memory, charged erasable programmable Read-Only Memory), flash Memory or other Memory technology, CD-ROM (Compact Disc Read-Only Memory), digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed by a computer.
The computer readable storage medium in this embodiment may be used to store one or more computer programs, where the stored one or more computer programs may be executed by a processor to implement at least one step of the smart home layout generation method in the first embodiment and the second embodiment.
It will be apparent to one skilled in the art that all or some of the steps of the methods, systems, functional modules/units in the apparatus disclosed above may be implemented as software (which may be implemented in computer program code executable by a computing apparatus), firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between the functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed cooperatively by several physical components. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit.
Furthermore, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, computer program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and may include any information delivery media. Therefore, the present invention is not limited to any specific combination of hardware and software.
The foregoing is a further detailed description of embodiments of the invention in connection with the specific embodiments, and it is not intended that the invention be limited to the specific embodiments described. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the invention, and these should be considered to be within the scope of the invention.
Claims (10)
1. A method for generating an intelligent home layout diagram comprises the following steps:
acquiring room information of a target house and determining coordinate information of each room;
determining deployment demand information of the intelligent equipment according to a preset layout rule based on the room information and the coordinate information, wherein the deployment demand information comprises the types, the numbers and the deployment positions of the intelligent equipment;
generating an intelligent home layout diagram of the target house, wherein the intelligent home layout diagram is provided with information of the intelligent devices, and the information of the intelligent devices at least reflects the types of the intelligent devices, wherein the information of the intelligent devices is marked on the intelligent home layout diagram corresponding to the deployment position of each intelligent device.
2. The smart home map generation method of claim 1, wherein determining deployment requirement information of the smart device according to a preset layout rule based on the room information and the coordinate information comprises:
determining the number of hot spot devices and the idealized deployment coordinates of each hot spot device according to the length and the width of the target house;
and respectively determining the actual deployment coordinates of each hot spot device nearest to the idealized deployment coordinates according to the idealized deployment coordinates of each hot spot device and the room information.
3. The smart home layout generation method of claim 2, wherein the determining the number of hot spot devices and the idealized deployment coordinates of each hot spot device according to the length and width of the target house comprises:
determining a rectangular area corresponding to the target house according to the house type information, wherein the rectangular area is a minimum rectangular area capable of sealing the target house inside, and the length and the width of the rectangular area are used as the length and the width of the target house to determine the number of the hot spot devices;
and taking the coordinates of each hot spot device when the hot spot devices are uniformly arranged in the rectangular area as ideal deployment coordinates of the hot spot devices.
4. The smart home layout generation method of claim 2 or 3, wherein the determining, based on the idealized deployment coordinates of each of the hotspot devices and the room information, the actual deployment coordinate of each of the hotspot devices closest to the idealized deployment coordinates includes:
when the idealized deployment coordinates are within the range of a target room, determining that the actual deployment coordinates of the hotspot device are within the range of the target room;
and when the ideal deployment coordinate is not in the range of the target room, searching the target room closest to the ideal deployment coordinate, and determining that the actual deployment coordinate of the hot spot equipment is in the range of the target room closest to the ideal deployment coordinate.
5. The smart home layout generation method of claim 4, wherein the target room comprises at least one of the following rooms configured with a portal:
a bedroom;
a study room;
and a living room.
6. The smart home map generation method of claim 1, wherein determining deployment requirement information of the smart device according to a preset layout rule based on the room information and the coordinate information comprises:
determining the coordinate information of each of the rooms includes determining coordinate information of a reference object in each of the rooms that has a correlation with a location of the smart device;
and determining the actual deployment coordinates of the intelligent equipment according to the coordinate information of the reference object corresponding to the intelligent equipment.
7. The smart home map generation method of claim 6, wherein the smart device and a reference object having a correlation with a location of the smart device comprise at least one of:
the intelligent device is a hot spot device, and the reference object comprises a network port;
the intelligent device is an intelligent switch, and the reference object comprises a door of each room;
the intelligent equipment is video and audio equipment, and the reference object comprises a television wall;
the intelligent device is an intelligent curtain, and the reference object comprises a window.
8. The smart home map generation method according to claim 1, wherein the acquiring room information of the target house and determining coordinate information of each room includes any one of:
acquiring a house type diagram input by a user, acquiring the room information from the house type diagram, and determining the coordinate information of each room;
acquiring a building and a room number of the target house, acquiring a house pattern of the target house according to the building and the room number, acquiring room information from the house pattern, and determining coordinate information of each room;
and acquiring the photo of the target house, determining the room information according to the photo of the target house, and determining the coordinate information of each room.
9. An intelligent home map generation device comprises a processor, a memory and a communication bus;
the communication bus is used for realizing connection communication between the processor and the memory;
the processor is configured to execute one or more computer programs stored in a memory to implement the steps of the smart home layout generation method of any of claims 1 to 8.
10. A computer readable storage medium storing one or more computer programs executable by one or more processors to implement the steps of the smart home layout generation method of any of claims 1 to 8.
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| CN202111622851.6A CN116401731A (en) | 2021-12-28 | 2021-12-28 | Smart home layout diagram generation method and device and computer readable storage medium |
| PCT/CN2022/109683 WO2023124076A1 (en) | 2021-12-28 | 2022-08-02 | Smart home layout diagram generation method and apparatus and computer readable storage medium |
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| CN117235873A (en) * | 2023-11-13 | 2023-12-15 | 广州视声智能股份有限公司 | Smart home layout method and system based on historical work record |
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| CN108268748A (en) * | 2018-04-26 | 2018-07-10 | 南京信息工程大学 | A kind of residence model figure electrical design method based on machine learning |
| CN111917591B (en) * | 2020-08-11 | 2023-04-28 | 深圳市欧瑞博科技股份有限公司 | Intelligent equipment networking scheme generation method and device and electronic equipment |
| CN112632648B (en) * | 2020-12-04 | 2022-03-18 | 贝壳找房(北京)科技有限公司 | Automatic lamp placing method and device based on space understanding |
| CN113139231A (en) * | 2021-05-08 | 2021-07-20 | 北京房江湖科技有限公司 | Virtual house lamp and light display method and device, storage medium and processor |
| CN113408029B (en) * | 2021-06-22 | 2023-08-11 | 杭州群核信息技术有限公司 | Intelligent home design and simulation system |
| CN113286313B (en) * | 2021-07-21 | 2022-09-02 | 深圳易来智能有限公司 | Hardware equipment layout method and device |
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| CN117235873A (en) * | 2023-11-13 | 2023-12-15 | 广州视声智能股份有限公司 | Smart home layout method and system based on historical work record |
| CN117235873B (en) * | 2023-11-13 | 2024-04-05 | 广州视声智能股份有限公司 | Smart home layout method and system based on historical work record |
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