Smart home device capable of improving use convenience

Abstract

The invention discloses a smart home device capable of improving use convenience in the field of smart home. The smart home device comprises a central control end and an imaging assembly, the imaging assembly is used for acquiring images in a room; the central control end is used for providing interactive control, the central control end is further used for obtaining room images collected by the imaging assembly, a dynamically updated smart home data model is arranged in the central control end, and the smart home data model comprises a smart home appearance model, a model, an environment requirement, a connection mode and a control interface calling model; the central control end is provided with an image recognition interface based on intelligent home data model training, the image recognition interface is used for recognizing intelligent home in the room image, when the image recognition interface monitors the newly added intelligent home in the room image, the intelligent home scanning catalog is monitored, and when the newly added intelligent home appears in the intelligent home scanning catalog, the intelligent home scanning catalog is displayed. And performing automatic pairing based on the smart home data model. By adopting the technical scheme of the invention, smart home binding can be conveniently carried out.

Description

Technical Field

[0001] The invention belongs to the technical field of smart home, and in particular is a smart home device for improving the convenience of use. Background Art

[0002] Smart home mainly comes from the integration and development of multiple fields such as the Internet of Things, the Internet, network communication, automatic control, security, and audio and video technology. The Internet of Things is the basis for the realization of smart home. Through the Internet of Things technology, various devices in the home can be connected together to form an interconnected network. This network enables devices to communicate with each other, thereby realizing the intelligent management and control of home appliances. The Internet provides a broad information interaction platform for smart homes. Through network communication technology, smart home systems can be connected to external networks to achieve remote control and information sharing. Smart home involves the integration and development of multiple fields. The continuous advancement and application of these technologies provide strong support for the development of smart homes, making smart home systems more intelligent, convenient, comfortable and safe.

[0003] In the prior art, smart homes are operated through voice, and the user's voice is analyzed to conveniently control the home. But first of all, the home must be controlled and bound. In the prior art, users are required to manually match information. As smart homes continue to develop, the proportion of smart home applications continues to rise. Binding homes one by one will increase the manual workload. At the same time, voice control also requires subjective control. In the prior art, the temperature can be automatically controlled by detecting the ambient temperature, but the purpose of temperature control is to bring people a more comfortable feeling. People will also generate heat in various activities, and the heat generated will also affect the temperature felt by the human body. Therefore, the temperature control required in different activities of people is different. Simple environment-based control is difficult to meet the control needs. Summary of the invention

[0004] In order to solve the above problems, an object of the present invention is to provide a smart home device that improves the convenience of use and can conveniently perform smart home binding.

[0005] In order to achieve the above-mentioned object, the technical solution of the present invention is as follows: a device for improving the convenience of use of a smart home, comprising a central control terminal and an imaging component;

[0006] The imaging component is used to obtain room images;

[0007] The central control terminal is used to provide interactive control. The central control terminal is also used to obtain room images collected by imaging components. The central control terminal is equipped with a dynamically updated smart home data model, which includes smart home appearance models, models, environmental requirements, connection modes and control interface call models; the central control terminal is equipped with an image recognition interface trained based on the smart home data model. The image recognition interface is used to identify smart homes in room images. When the image recognition interface detects a newly added smart home in the room image, it monitors the smart home scan directory. When the newly added smart home appears in the smart home scan directory, it is automatically paired based on the smart home data model.

[0008] The following beneficial effects are achieved by adopting the above scheme:

[0009] 1. The central control terminal is used to provide smart home control. Users can control all smart homes connected to the central control terminal through the central control terminal. The imaging component has the function of image acquisition, which can replace indoor monitoring and provide the basis for image recognition data.

[0010] 2. The central control terminal is equipped with a dynamically updated smart home data model, which can be updated in real time through the network to be compatible with the updated data of the new generation of smart homes. Based on the smart home data model, the model can be identified through the public smart home appearance information. When a newly added smart home appears in the room, the newly added smart home information is identified through model comparison of the image recognition interface. Since the smart home is not connected to the power supply or the local area network at this time, the pairing target is determined by monitoring the smart home scanning directory, and the connection mode in the smart home data model and the control interface call model are used for pairing, and the corresponding control mode data is generated.

[0011] Compared with existing technologies, the scanning, identification, pairing and control of newly installed home appliances can be completed through image recognition and dynamically updated smart home data models. This can greatly reduce the intensity of manual work, reduce the workload of manual home pairing, improve the degree of intelligence, and fit the booming trend of smart homes.

[0012] Furthermore, the interactive controls provided by the central control include buttons, voice, touch and remote control.

[0013] Beneficial effects: The central control terminal provides a variety of subjective control methods to meet the control habits of different users.

[0014] Furthermore, the central control terminal is also used to generate a spatial coordinate axis based on the room image, and the image recognition interface is also used to identify the spatial coordinates bound to the smart home;

[0015] When the central control end is controlled by voice, the orientation command is recognized based on the spatial coordinates.

[0016] Beneficial effect: Pure voice control can only be used to issue commands through the device list, but the device list is difficult to reflect the location information of the device. By generating a spatial coordinate axis, the sense of orientation of the home can be expanded, making it easier to perform more refined control.

[0017] Furthermore, after the image recognition interface identifies the newly added smart home, if the connection mode within the smart home data model of the newly added smart home includes an identification code connection, the identification code of the newly added smart home is captured and intercepted. After the newly added smart home enters a connectable state, it is connected by scanning the identification code.

[0018] Beneficial effect: When two furnitures of the same model are bound, the layout and distribution of the furnitures cannot be known at this time because the smart home scanning directory does not have location information. The connection method of the identification code can use the unique identification code of the image feedback device. Through the identification and pairing capability based on the identification code, it can effectively distinguish the location in this scenario, further reducing the manual workload under special conditions. Since the orientation of the furniture is random, the identification code is not necessarily facing the imaging component, so it is necessary to intercept the cache after the identification code is recognized during the deployment and transportation process.

[0019] Furthermore, the image recognition interface also performs image recognition training based on human behavior movements. The scope of human behavior movement recognition includes face, limbs and gestures. The interactive control of the central control terminal also includes gesture-based orientation commands and control commands.

[0020] Beneficial effect: The directional command can be indicated based on gestures, which improves the convenience for users when performing directional commands.

[0021] Furthermore, the central control terminal is also used to make demand judgments based on human behavior movements. The central control terminal has preset demand models corresponding to several human behavior movements. The central control terminal automatically adjusts based on the demand models when the corresponding human behavior movements are identified.

[0022] Beneficial effects: To improve convenience, the workload of manual control is further reduced through automatic control. The human behavior function is expanded based on image recognition training. The automatic control process is based on human behavior, not limited to the environment, and the goal of automatic control is to improve the human experience.

[0023] Furthermore, the demand model includes a sports heat dissipation demand model. The image recognition interface is trained based on the heat dissipation demand data of a large number of human body shape samples under several different types of motion. When the image recognition interface recognizes human behavior movements, it outputs the body shape data and motion type and generates a target temperature that meets the heat dissipation demand. The central control end adjusts the temperature in the room based on the target temperature.

[0024] Beneficial effects: The automatic control targets include indoor temperature control under various human activities, and heat dissipation demand analysis based on human body shape and exercise type. Users of different body shapes generate different amounts of heat when exercising, and different exercise types also generate different amounts of heat. Through the combined analysis of the two, a temperature control that better fits the user's body feeling can be obtained.

[0025] Further, the imaging component includes a camera and an infrared imager;

[0026] The infrared imager is used to obtain the human body temperature data in the room image, and the sports heat dissipation demand model is corrected based on the human body temperature data.

[0027] Beneficial effects: The human body shape is only one of the factors that determine the heat generation. The specific amount of heat is also related to many factors such as physique and clothing. Therefore, an infrared imager is introduced to detect the human body surface and correct the heat dissipation demand based on negative feedback regulation.

[0028] Furthermore, the central control end is also used to judge the active control records recorded under various human behavior actions based on the human behavior action requirements, and to perform empirical correction on the demand model based on the active control records.

[0029] Beneficial effect: The actual needs of the user may be different from the values ​​calculated by the automatic control, so the user will actively control to achieve a satisfactory control result. At this time, the user's human behavior is recorded, and based on the active control record, the demand model is empirically corrected to make the automatic control meet the user's habits.

[0030] Furthermore, the infrared imager is also used to detect the surface temperature of each smart home based on smart home identification. When the surface temperature exceeds the environmental requirements, the temperature control smart home is controlled to cool down the ambient temperature.

[0031] Beneficial effects: Smart homes may be exposed to high temperatures due to environmental changes, operating loads, etc., which may shorten their service life. Therefore, based on the surface temperature detection of the infrared imager, the ambient temperature of the smart home is regulated to meet its use environment requirements and extend its service life. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 Schematic diagram of an embodiment of the present invention.

[0033] Figure 2 It is a schematic isometric diagram of an imaging component according to an embodiment of the present invention.

[0034] Figure 3 It is a front view schematic diagram of the central control terminal according to an embodiment of the present invention.

[0035] Figure 4 Schematic diagram of a control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0036] The following is further described in detail through specific implementation methods:

[0037] The reference numerals in the drawings of the specification include: a wide-angle camera 1, an infrared imager 2, a touch display screen 3, an input keyboard 4, and a speaker 5.

[0038] The embodiment is basically as shown in the attached Figure 1 To Attachment Figure 4 As shown:

[0039] A device for improving the convenience of use of smart home, including a central control terminal and an imaging component; the imaging component is used to obtain images in the room, including a wide-angle camera 1 and an infrared imager 2, the wide-angle camera 1 and the infrared imager 2 are integrated into one body and installed on the top of the room to obtain a better imaging field of view. The central control terminal is used to provide interactive control, including a touch display screen 3, an input keyboard 4, a microphone, a speaker 5 and a controller, the touch display screen 3, the input keyboard 4, the microphone, the speaker 5 and the controller are integrated into one body, and the controller supports remote signal connection and peripheral signal connection.

[0040] The imaging component can replace the indoor monitoring equipment and serve as the data source for image recognition. The central control terminal provides a variety of subjective control methods to meet the control habits of different users. The central control terminal provides data logic operations to meet data processing needs.

[0041] The central control end is also used to obtain room images collected by the imaging component. The central control end is equipped with a dynamically updated smart home data model, which includes the smart home appearance model, model, environmental requirements, connection mode and control interface call model; the central control end is equipped with an image recognition interface trained based on the smart home data model. The image recognition interface is used to identify the smart home in the room image. When the image recognition interface detects the newly added smart home in the room image, it monitors the smart home scanning directory. When the newly added smart home appears in the smart home scanning directory, it is automatically paired based on the smart home data model.

[0042] The dynamically updated smart home data model is completed by connecting to the Internet to be compatible with the new generation of smart home data. Based on the smart home data model, the model can be identified through the public smart home appearance information. When the newly added smart home appears in the room, the newly added smart home information is identified through the model comparison of the image recognition interface. Since the smart home is not connected to the power supply or the local area network at this time, the pairing target is determined by monitoring the smart home scanning directory. The connection mode in the smart home data model and the control interface call model are used for pairing to generate the corresponding control mode. Simplifying the device binding process can greatly reduce the intensity of manual work and reduce the workload of manual home pairing to adapt to the development trend of the gradual increase in the proportion of smart homes.

[0043] The central control terminal is also used to generate spatial coordinate axes based on room images, and the image recognition interface is also used to identify the spatial coordinates of the bound smart home; when the central control terminal is controlled by voice, the orientation command is recognized based on the spatial coordinates. After the image recognition interface recognizes the newly added smart home, if the connection mode in the smart home data model of the newly added smart home includes an identification code connection, the identification code of the newly added smart home is captured and intercepted, and after the newly added smart home enters the connectable state, it is connected by scanning the identification code.

[0044] Pure voice control can only be commanded through the device list, and the device list is difficult to reflect the location information of the device. By generating a spatial coordinate axis, the sense of orientation of the home can be expanded, which facilitates more refined control. When two homes of the same model appear for binding, since the smart home scanning directory has no location information, it is impossible to know the layout and distribution of the home at this time. For example, if the user's living room is large, two cabinet air conditioners are needed, located on both sides of the living room. The user places two cabinet air conditioners of the same model in the living room at the same time. Since two cabinet air conditioners of the same model have been identified through images before the air conditioners are connected to the Internet, when the pairing information is detected, the spatial position corresponding to the pairing information cannot be known. It is only impossible to distinguish the orientation of the cabinet air conditioner, resulting in pairing disorder.

[0045] The connection method of the identification code can use the unique identification code of the image feedback device. Through the identification and pairing capabilities based on the identification code, it can effectively distinguish in this scenario, further reducing the manual workload under special conditions. Since the orientation of the home is random, the identification code is not necessarily facing the imaging component, so it is necessary to intercept and cache after the identification code is recognized during the deployment and transportation process.

[0046] The image recognition interface also performs image recognition training based on human behavior movements. The scope of human behavior movement recognition includes face, limbs and gestures. The interactive control of the central control terminal also includes gesture-based direction commands and control commands.

[0047] Through the expansion of gesture recognition, users can use gestures to issue control commands or indicate control directions, further improving the convenience of control.

[0048] Existing technologies adjust comfort by detecting environmental data to put users in a comfortable environment. However, a fixed comfortable environment does not mean that users can feel comfortable in all kinds of activities. Therefore, it is necessary to analyze the user's activities and make adjustments based on the user's actual situation.

[0049] The central control terminal is also used to make demand judgments based on human behavior. The central control terminal has preset demand models corresponding to several human behavior. The central control terminal automatically adjusts the temperature when the corresponding human behavior is identified based on the demand model. The demand model includes a sports heat dissipation demand model. The image recognition interface is trained based on the heat dissipation demand data of a large number of human body shape samples under several different types of sports. When the image recognition interface recognizes human behavior, it outputs body shape data, sports type and generates a target temperature that meets the heat dissipation demand. The central control terminal adjusts the temperature in the room based on the target temperature.

[0050] Users can carry out activities indoors, and the appropriate temperature for each activity is different. For example, when exercising indoors, since exercise is accompanied by an increase in metabolic rate, the human body will generate more heat, which requires better heat dissipation. The image recognition interface can capture the user's activities and determine whether the user is exercising through motion recognition. The image recognition interface can identify the user's body shape and exercise type. The body shape can feedback the amount of work done during exercise. The larger the body shape, the greater the work done during exercise, the more heat generated, and the greater the need for heat dissipation. The type of exercise can determine the amplitude of the exercise. Different exercises generate heat at different speeds. Differentiating the heat dissipation needs based on the type of exercise can better meet the actual needs of users. After completing the identification and outputting the target temperature that meets the heat dissipation needs, the central controller will control smart home appliances such as cooling fans and air conditioners to adjust the temperature so that the indoor temperature meets the heat dissipation needs of the user's exercise and optimizes the user's experience.

[0051] The imaging component includes a camera and an infrared imager 2. The infrared imager 2 is used to obtain human body temperature data in the room image. The motion heat dissipation demand model is corrected based on the human body temperature data.

[0052] The human body shape is only one of the factors that determine the heat generation. The specific amount of heat is also related to many factors such as physique, clothing, etc. Therefore, an infrared imager 2 is introduced to detect the surface of the human body and correct the heat dissipation demand based on negative feedback regulation.

[0053] The central control end is also used to judge the active control records under various human behavior actions based on the human behavior action requirements, and to perform empirical correction on the demand model based on the active control records.

[0054] The automatic control system can be executed under the preset logic, but the user's needs are diverse and may not meet the user's special needs or habits. For example, after indoor exercise, most people will relax their muscles and eliminate fatigue by taking a hot bath, but some people will lower the temperature of the bath to quickly cool down the body. The central control terminal will capture the user's active control records under various behaviors and actions, and perform empirical correction on the demand model, so that after multiple empirical corrections, it can meet the user's actual usage needs.

[0055] The infrared imager 2 is also used to detect the surface temperature of each smart home based on smart home identification. When the surface temperature exceeds the environmental requirement, the temperature control smart home is controlled to cool down the ambient temperature.

[0056] Smart home appliances may be exposed to high temperatures due to environmental changes, operating loads, etc., which may shorten their service life. For example, in summer, the sun is strong and the LCD display used at home is prone to generate local high temperatures under direct sunlight, causing the LCD screen to dry out. Therefore, based on the surface temperature detection of the infrared imager 2, for example, if an abnormally high temperature area appears on the surface of the LCD display, the air conditioner, electric curtains and other smart home appliances are controlled to cool it down, thereby reducing the probability of aging of the smart home appliances at high temperatures.

[0057] The above is only an embodiment of the present invention. The common sense such as the known specific structure and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field of the invention before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. A device for improving the convenience of use of a smart home, characterized in that: Includes central control terminal and imaging components; The imaging component is used to obtain images in the room; The central control terminal is used to provide interactive control. The central control terminal is also used to obtain room images collected by imaging components. The central control terminal is equipped with a dynamically updated smart home data model, which includes smart home appearance models, models, environmental requirements, connection modes and control interface call models; the central control terminal is equipped with an image recognition interface trained based on the smart home data model. The image recognition interface is used to identify smart homes in room images. When the image recognition interface detects a newly added smart home in the room image, it monitors the smart home scan directory. When the newly added smart home appears in the smart home scan directory, it is automatically paired based on the smart home data model.

2. The device for improving the convenience of use of smart home according to claim 1, characterized in that: The interactive controls provided by the central control include buttons, voice, touch and remote control.

3. The device for improving the convenience of use of smart home according to claim 2, characterized in that: The central control terminal is also used to generate spatial coordinate axes based on room images, and the image recognition interface is also used to identify the spatial coordinates bound to the smart home; When the central control end is controlled by voice, the orientation command is recognized based on the spatial coordinates.

4. The device for improving the convenience of use of smart home according to claim 3, characterized in that: After the image recognition interface identifies the newly added smart home, if the connection mode in the smart home data model of the newly added smart home includes an identification code connection, the identification code of the newly added smart home is captured and intercepted. After the newly added smart home enters a connectable state, it is connected through the identification code connection.

5. The device for improving the convenience of use of smart home according to claim 4, characterized in that: The image recognition interface also performs image recognition training based on human behavior movements. The scope of human behavior movement recognition includes face, limbs and gestures. The interactive control of the central control terminal also includes gesture-based direction commands and control commands.

6. The device for improving the convenience of use of smart home according to claim 5, characterized in that: The central control terminal is also used to make demand judgments based on human behavior. The central control terminal has preset demand models corresponding to several human behavior actions. The central control terminal automatically adjusts based on the demand model when the corresponding human behavior action is identified.

7. The device for improving the convenience of use of smart home according to claim 6, characterized in that: The demand model includes a motion heat dissipation demand model. The image recognition interface is trained based on the heat dissipation demand data of a large number of human body shape samples under several different types of motion. When the image recognition interface recognizes human behavior movements, it outputs body shape data, motion type and generates a target temperature that meets the heat dissipation demand. The central control end adjusts the temperature in the room based on the target temperature.

8. The device for improving the convenience of use of smart home according to claim 7, characterized in that: The imaging component includes a camera and an infrared imager; The infrared imager is used to obtain the human body temperature data in the room image, and the sports heat dissipation demand model is corrected based on the human body temperature data.

9. The device for improving the convenience of use of smart home according to claim 8, characterized in that: The central control end is also used to judge the active control records under various human behavior actions based on the human behavior action requirements, and to perform empirical correction on the demand model based on the active control records.

10. The device for improving the convenience of use of smart home according to claim 9, characterized in that: Infrared imagers are also used to detect the surface temperature of each smart home based on smart home identification. When the surface temperature exceeds the environmental requirements, the temperature control smart home is controlled to cool down the ambient temperature.

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