CN110286600B - Scene setting method and device of intelligent household operating system - Google Patents

Scene setting method and device of intelligent household operating system Download PDF

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Publication number
CN110286600B
CN110286600B CN201910578842.8A CN201910578842A CN110286600B CN 110286600 B CN110286600 B CN 110286600B CN 201910578842 A CN201910578842 A CN 201910578842A CN 110286600 B CN110286600 B CN 110286600B
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goodness
user
visitor
scene mode
data
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CN110286600A (en
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梁海山
赵峰
徐志方
刘超
尹德帅
沈顺厚
连鹏飞
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Qingdao Haier Technology Co Ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The invention provides a scene setting method and device for an intelligent home operating system. The method comprises the following steps: determining a first goodness of a user to a visitor according to a relation between the user and the visitor who visits currently; and after a first scene mode matched with the first good feeling is selected in the appointed mapping relation, adjusting the scene mode of the smart home to the first scene mode. According to the invention, the problem of poor user experience caused by the fact that the emotion of the user cannot be considered in the regulation and control process of the smart home in the related technology is solved, the smart home control can give consideration to the emotion, and a better using effect is brought to the user.

Description

Scene setting method and device for smart home operating system
Technical Field
The invention relates to the field of smart home, in particular to a scene setting method and device of a smart home operating system.
Background
The intelligent home operation system connects various intelligent devices in a home together through technologies such as the Internet of things, big data and a cloud platform, and provides multiple functions such as intelligent household appliance control, lamplight illumination control and indoor environment monitoring for a user. With the increasing of devices in smart homes, the demand of users for the linkage control of multiple devices is increasing.
At present wisdom operating system of family, the user can carry out scene mode setting on intelligent terminal to control to a plurality of smart machines is realized to controlgear through wisdom family, for example, sleep mode, and the equipment control that corresponds is including closing the lighting apparatus in specific area, transfers down the amount of wind of air conditioner and new trend system, opens intelligent (window) curtain etc..
The scene mode in the prior art can be set only through a user or triggered according to preset conditions, for example, when the user is ready to have a rest, the scene mode of the current smart home is set to be a sleep mode through the intelligent terminal device, or the distance between the user and the smart home meets a preset value, the home returning mode is automatically triggered, the mode comprises the starting of an air conditioner and a fresh air system, the intelligent kitchen device starts to be preheated, the starting of a lighting lamp in a hall area and the like. The setting mode of the scene modes is single, only the material requirements of the user are met, the emotion requirements of the user are not considered, and the experience of the user on the smart home is general.
Disclosure of Invention
The embodiment of the invention provides a scene setting method and device of an intelligent home operating system, which aim to at least overcome the defect that an intelligent home cannot be regulated and controlled based on emotion of a user in the related art.
The problem of poor user experience brought by the emotion of the user cannot be considered in the regulation and control process.
According to an embodiment of the invention, a scene setting method of an intelligent home operating system is provided, which includes: determining a first goodness of a user to a visitor according to a relation between the user and the visitor who visits currently; and after a first scene mode matched with the first good feeling is selected in the appointed mapping relation, adjusting the scene mode of the smart home to the first scene mode.
According to an embodiment of the present invention, a scene setting device of an intelligent home operating system is provided, including: the system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining a first goodness of a user to a visitor according to a relation between the user and the visitor who visits currently; and the first adjusting device is used for adjusting the scene mode of the smart home to the first scene mode after the first scene mode matched with the first good feeling is selected from the designated mapping relation.
According to a further embodiment of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the method embodiments described above when executed.
According to yet another embodiment of the present invention, there is also provided an electronic device, including a memory in which a computer program is stored and a processor configured to execute the computer program to perform the steps in any of the above method embodiments.
According to the invention, the good sensitivity of the user to the visitor is utilized, and the good sensitivity is adjusted by utilizing the characteristics of the user, so that the scene mode of the smart home is effectively adjusted. Therefore, the problem of poor user experience caused by the fact that the emotion of the user cannot be considered in the regulation and control process of the smart home in the related technology can be solved, the intelligent home control can give consideration to the emotion, and a better using effect is brought to the user.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a scene setting method of an intelligent home operating system according to an embodiment of the present invention;
fig. 2 is a block diagram of a scene setting of an intelligent home operating system according to an embodiment of the present invention;
fig. 3 is a scene schematic diagram of a smart home according to an embodiment of the present invention.
Detailed Description
The invention will be described in detail hereinafter with reference to the accompanying drawings in conjunction with embodiments. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
Example 1
In this embodiment, a method for controlling a smart home is provided, and fig. 1 is a flowchart of a method for setting a scene of an operating system of a smart home according to an embodiment of the present invention, as shown in fig. 1, the flowchart includes the following steps:
step S102, determining a first goodness of a user to a visitor according to a relation between the user and the visitor who visits currently;
and step S104, after a first scene mode matched with the first good feeling is selected in the appointed mapping relation, adjusting the scene mode of the smart home to the first scene mode.
The first goodness of the user to the visitor is determined according to the relation between the user and the visitor who visits at present, so that the goodness of the user to the visitor can be accurately obtained, and the scene mode adjustment precision of the smart home is improved; the embarrassment of the user caused by the fact that the good feeling of the user on the visitor cannot be accurately obtained, the scene mode of the smart home cannot be accurately adjusted according to the emotion of the user, and even the scene mode of the smart home is adjusted by mistake (for example, the scene mode of the smart home corresponding to a co-worker visitor is adjusted to the scene mode of the smart home corresponding to a friend visitor, and the embarrassment of the user is caused).
Optionally, determining a first goodness of a user to a visitor from a relationship between the user and the visitor currently visited includes: acquiring visitor information of the visitor according to the acquired biological feature information of the visitor; inquiring the associated data between the user and the visitor according to the visitor information; determining the first goodness using association data between the user and the visitor.
It should be noted that the above-mentioned biometric information includes, but is not limited to: the face image, the iris, the fingerprint, the voiceprint and the like are used for identifying characteristic information of the visitor.
Taking facial recognition as an example, particularly, the process of collecting facial feature information can be realized through a camera device arranged on an intelligent home access control system, and can also be realized through any intelligent home equipment provided with the camera device in an intelligent home. However, the face recognition technology is adopted to compare the acquired facial image information of the visitor with the pre-stored facial image information, and the character information of the visitor is determined according to the preset facial image information and the character information corresponding to the facial image information. For example, the server may store the facial image features and the character information in advance, the facial image features and the character information may be uploaded to the server by the user through the mobile terminal, or the server may acquire data access rights of social applications such as chat software of the user, and after establishing a connection with the user, directly acquire identification information (such as an account) corresponding to the facial features from the social applications for storage. Subsequently, if the face image is collected through the camera device, the face image is sent to a server, and the server can extract the face image features from the face image through a face recognition technology; based on the comparison result between the extracted facial image features and the stored facial image features, the information of the visitor corresponding to the extracted facial image features, such as the "mingmen" user account of the chat software, can be determined from the character information stored corresponding to the facial image features.
Optionally, the associated data is obtained by at least one of the following methods: collecting specified data communicated between the user and the visitor; collecting specified data which is stored in terminal equipment where the user is located and is related to the visitor; collecting specified data related to the visitor existing in a social network where the user is located; wherein the specified data includes at least one of: text data, image data, audio data, and video data.
Specifically, the specified data exchanged between the user and the visitor refers to the chat record, the short message or the mail content in the chat software. The designated data related to the visitor, which is stored in the terminal device where the user is located, refers to chat records, short messages or mail contents which are stored in advance by the user (for example, in a mode of being collected by a cloud server or being downloaded to a memory of the terminal). And the specified data related to the visitor in the social network where the user is located refers to comment content between the user and the visitor in the social network.
In addition, the personal information of both the user and the visitor is also considered. The character information is uploaded to a server by a user through an intelligent family management application program APP installed in a mobile phone of the user, the character information comprises account information of the character, such as an account in chat software, an account in short messages, an account in a social network and the like, and according to the account information in the character information of the visitor xiao ming, text data for communication between the user and the visitor xiao ming can be acquired, and the text data can be set as data within preset time. As in the past 10 days, the user and visitor have had little communication of data. Alternatively, the relationship data may be a tag set by the user for character information of the visitor using chat software. For example, the personal information is the account number "Xiaoming", and the label is "co-workers", and the label of "co-workers" is the relationship data. Optionally, determining the first goodness using the association data between the user and the visitor comprises: inputting the associated data into a preset sample library to match preset words; determining the occurrence times of the preset vocabulary in the associated data; and determining the first goodness according to the occurrence frequency of the preset vocabulary and the goodness value of the preset vocabulary.
For example, the preset vocabulary may be set as an evaluation-class vocabulary, such as "hello", "like you", "thank you", and the text data communicated with the user and the visitor xianming are counted by a word segmentation technique, and the number of occurrences of "hello" is 5, the number of occurrences of "hello" is 3, the number of occurrences of "liking you" is 2, and the number of occurrences of "thank you" is 4.
The number of times of the preset vocabulary is directly added, and the initial goodness score is calculated, for example, 5+3+2+4 to 14.
The weight of the preset vocabulary can also be preset. Table 1 is a weight correspondence table for predetermined words. As shown in table 1:
TABLE 1
Preset words and phrases Weight of
You really good 3
You very much stick 4
Like you 6
Thank you 2
And calculating an initial good-feeling score by weighted summation according to the times of a preset vocabulary and a preset weight, wherein the initial good-feeling score is 47 as 5 multiplied by 3+3 multiplied by 4+2 multiplied by 6+4 multiplied by 2.
It should be noted that, when the character information is a tag set for the character information of the visitor by the user using the chat software, the goodness score corresponding to the tag of the visitor may be determined as the initial goodness score according to the mapping relationship between the different types of tags and the preset goodness score.
For example, the personal information is the account number "Xiaoming", and the label is "co-workers", and the label of "co-workers" is the relationship data. Assuming that a goodness score of 50 is set in advance for the tag "colleague", the initial goodness score is 50. Similarly, a label of "relative" may correspond to, for example, a goodness score of 80, a label of "Party A" may correspond to, for example, a goodness score of 70, and so on.
It should be noted that, in order to distinguish between guests with different relationships, different scene modes of the guests with different relationships in a certain segment may also be configured in the mapping relationship table. For example, a light cool shade may be configured for 80 colleagues. While for 80 cents relatives the lights may be configured to be of reduced warmth. For another example, a neighborhood of 60 points may set the fragrance atmosphere to a fresh fragrance, while a friend of 60 points may set the fragrance atmosphere to a pleasant fragrance. The specific mapping table may be set according to the will of the user, and will not be described herein.
Optionally, after selecting a first scene mode matched with the first goodness in the specified mapping relation table, adjusting the scene mode of the smart home to the first scene mode includes: determining a good feeling interval in which the first good feeling is located in the appointed mapping relation table, and acquiring corresponding first smart home setting content; and sending a first adjusting instruction to the smart home, wherein the first adjusting instruction carries the setting content of the first smart home.
Optionally, determining a second goodness degree corresponding to the visitor according to the first goodness degree and the collected sign data of the user; and after a second scene mode matched with the second goodness in the appointed mapping relation table is selected, the scene mode of the smart home is adjusted from the first scene mode to the second scene mode.
Optionally, determining a second goodness degree corresponding to the visitor according to the first goodness degree and the collected sign data of the user includes: obtaining change rates corresponding to a plurality of types of physical sign data in a preset period; and determining the second goodness according to the change rates corresponding to the multiple types of feature data and the first goodness.
In particular, the feature data is used to reflect the vital features of the current user. For example, the body temperature of the user, the number of heartbeats of the user, the blood pressure value of the user, the amount of perspiration of the user, the degree to which the pupil of the user dilates or contracts.
Optionally, the second goodness of feel is determined based on at least the following formula:
Figure BDA0002112697090000071
wherein D is1For representing said first goodness of feel，D2For representing said second goodness of fit, A for representing respective rates of change of said feature data of a plurality of types, aiFor indicating the rate of change, a, corresponding to one type of said characteristic datai1A value representing said characteristic data before change, ai2A value representing the changed characteristic data.
For example, first, normal physical sign data of the user is obtained, such as that the usual blood pressure (diastolic pressure) of the user is 80; heart rate was 80 beats/minute; the body temperature was 36.8 ℃. Then, after the visitor passes through the access control system, the current physical sign data of the user is acquired through the wearable device every predetermined time, such as 20 minutes, for example, the current blood pressure (diastolic pressure) of the user is 85, the heart rate is 90 times/minute, and the body temperature is 37.1 ℃. Calculating the change rate of each physical sign data, wherein the change rate is (after change-before change)/before change, for example, the change rate of the blood pressure (diastolic pressure) of the user is as follows: (85-80)/80 ═ 6.25%; the user heart rate change rate is: (90-80)/80 ═ 12.5%; the rate of change of the body temperature of the user is as follows: (37.1-36.8)/36.8-0.82%.
Table 2 is a table of correspondence between the weight and the change rate, and as shown in table 2, the above change rate is weighted and averaged according to the preset weight.
TABLE 2
Rate of change Weight of
Rate of change of blood pressure 1.0
Heart rate change rate 0.5
Rate of change of body temperature 2.5
The change rate of the sign data of the user is as follows:
(1.0×6.25％+0.5×12.5％+2.5×0.82％)/(1.0+0.5+2.5)＝3.64％。
the real-time good feeling of the user is as follows:
82×(3.64％+1)＝85。
optionally, after selecting a second scene mode matched with the second goodness in the designated mapping relation table, adjusting the scene mode of the smart home from the first scene mode to the second scene mode, including: determining a good-sensitivity interval in which the second good-sensitivity is located in the specified mapping relation table, and acquiring corresponding second smart home setting content; and sending a first adjusting instruction to the smart home, wherein the second adjusting instruction carries the setting content of the second smart home. Optionally, when the number of visitors is multiple, the method further comprises: determining the highest good sensitivity or the lowest good sensitivity in the good sensitivities corresponding to the multiple visitors as a third good sensitivity; and after a third scene mode matched with the third good sensitivity in the appointed mapping relation table is selected, adjusting the scene mode of the smart home to the third scene mode. Specifically, in order to bring a better experience to the user, if the number of visitors is plural, the highest of the hedonics is selected. Although the visitor corresponding to the highest sensitivity may not be the closest visitor, physical and mental pleasure of the user can be ensured to some extent.
Optionally, before selecting a scene mode that matches with good feeling in the specified mapping relation table, the method further includes: judging whether the goodness of sensitivity is higher than a minimum goodness of sensitivity threshold value; and if the judgment result is yes, determining the good feeling interval in which the good feeling is positioned in the specified mapping relation table.
Optionally, in a case that the goodness is determined to be lower than the lowest goodness threshold, the method further includes: sending an alarm message to the user, wherein the alarm message is used for indicating that the visitor is an untrusted visitor.
The mapping relation between the good sensitivity and the scene mode can be preset by a user, and the user can set the scene mode in a display page of the smart home operating system and associate the scene mode with the good sensitivity range to generate the mapping relation between the good sensitivity and the scene mode.
Specifically, it is first determined whether the initial goodness value is higher than a predetermined goodness threshold, and when the initial goodness value is higher than the predetermined goodness threshold, the subsequent operations are performed.
Table 3 is a mapping table according to a mapping relationship between the perceptibility and the scene mode, as shown in table 3:
TABLE 3
Figure BDA0002112697090000091
Wherein various styles of menus can be preset by the user, and specifically, the user can save music that the user thinks satisfies the style to the menu.
If the calculated user perception of the visitor is 82 points, the scene mode 2 is taken as the initial scene mode. If the calculated user is less than 60 points good for the visitor, it is equivalent to not satisfying any good condition, and therefore, the visitor may be a stranger or miscreant for the current user. Thus, the visitor is prompted as an untrusted user by sending an alert message to the user. In addition, in some cases, the server may also be used to alarm or notify people related to the user, such as family or friends of the user.
After the scene mode is determined, the setting information of the scene mode can be sent to the intelligent gateway, and the intelligent gateway starts and closes the intelligent device according to the setting information or adjusts the operation parameters of the intelligent device to complete the setting.
If the second scene mode is the scene mode 3 and the first scene mode is the scene mode 2, adjusting the current scene mode to be the scene mode 3; if the second scene mode and the first scene mode are both scene mode 2, no adjustment is required.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
In this embodiment, a control device for smart home is further provided, where the control device is used to implement the foregoing embodiments and preferred embodiments, and the description of the control device is omitted. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a block diagram of a scene setting of an intelligent home operating system according to an embodiment of the present invention, and as shown in fig. 2, the apparatus includes:
a first determining module 22, configured to determine a first goodness of a user to a visitor according to a relationship between the user and the visitor currently visited;
and the first adjusting device 24 is configured to adjust the scene mode of the smart home to the first scene mode after selecting the first scene mode matched with the first good feeling in the specified mapping relationship.
Optionally, the apparatus further comprises: the second determining device is used for determining a second goodness degree corresponding to the visitor according to the first goodness degree and the collected characteristic data of the user; and the second adjusting device is used for adjusting the scene mode of the smart home from the first scene mode to the second scene mode after selecting the second scene mode matched with the second goodness in the appointed mapping relation table.
In addition, a scene schematic diagram of the smart home is also provided in the embodiment. Fig. 3 is a scene schematic diagram of a smart home according to an embodiment of the present invention. As shown in fig. 3, the intelligent gateway obtains the relationship between the user and the currently accessed visitor through the user, interacts with the server to obtain the specified mapping relationship table, and finally sends a control command to the intelligent home.
It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Example 3
Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, determining a first goodness of a user to a visitor according to a relationship between the user and the visitor currently visited;
s2, after a first scene mode matched with the first good feeling is selected in the appointed mapping relation, the scene mode of the smart home is adjusted to the first scene mode.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic apparatus may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, determining a first goodness of a user to a visitor according to a relationship between the user and the visitor currently visited;
s2, after a first scene mode matched with the first good feeling is selected in the appointed mapping relation, the scene mode of the smart home is adjusted to the first scene mode.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the principle of the present invention should be included in the protection scope of the present invention.

Claims (12)

1. A scene setting method of an intelligent home operating system is characterized by comprising the following steps:
determining a first goodness of a user to a visitor according to a relation between the user and the visitor who visits currently;
after a first scene mode matched with the first goodness is selected from the appointed mapping relation, the scene mode of the smart home is adjusted to the first scene mode;
determining a second goodness degree corresponding to the visitor according to the first goodness degree and the collected sign data of the user;
after a second scene mode matched with the second goodness in the appointed mapping relation table is selected, the scene mode of the smart home is adjusted from the first scene mode to the second scene mode;
wherein the second goodness is determined based at least on the following equation:
Figure DEST_PATH_IMAGE002
wherein, the first and the second end of the pipe are connected with each other,
Figure DEST_PATH_IMAGE004
for representing said first level of fullness,
Figure DEST_PATH_IMAGE006
for representing said second goodness of feel,
Figure DEST_PATH_IMAGE008
for indicating the corresponding rate of change of a plurality of types of feature data,
Figure DEST_PATH_IMAGE010
for indicating the corresponding rate of change of one type of said characteristic data,
Figure DEST_PATH_IMAGE012
a value representing the characteristic data before the change,
Figure DEST_PATH_IMAGE014
a value representing the changed characteristic data.
2. The method of claim 1, wherein determining a first goodness of a user to a currently accessed visitor based on a relationship between the user and the visitor comprises:
obtaining visitor information of the visitor according to the acquired biological feature information of the visitor;
inquiring the associated data between the user and the visitor according to the visitor information;
determining the first goodness using association data between the user and the visitor.
3. The method of claim 2, wherein the association data is obtained by at least one of:
collecting specified data communicated between the user and the visitor;
collecting specified data which is stored in terminal equipment where the user is located and is related to the visitor;
collecting specified data related to the visitor existing in a social network where the user is located; wherein the specified data includes at least one of: text data, image data, audio data, and video data.
4. The method of claim 2, wherein determining the first goodness using the association data between the user and the guest comprises:
inputting the associated data into a preset sample library to match preset words; determining the occurrence times of the preset vocabulary in the associated data;
and determining the first goodness according to the occurrence frequency of the preset vocabulary and the goodness value of the preset vocabulary.
5. The method of claim 1, wherein determining a second goodness measure corresponding to the visitor according to the first goodness measure and the collected sign data of the user comprises:
obtaining change rates corresponding to a plurality of types of physical sign data in a preset period;
and determining the second goodness according to the change rates corresponding to the multiple types of feature data and the first goodness.
6. The method of any of claims 1-5, wherein when the number of guests is multiple, the method further comprises:
determining the highest good sensitivity or the lowest good sensitivity in the good sensitivities corresponding to the multiple visitors as a third good sensitivity;
and after a third scene mode matched with the third good sensitivity in the appointed mapping relation table is selected, adjusting the scene mode of the smart home to the third scene mode.
7. The method of any of claims 1-5, wherein prior to selecting a scene mode that matches a good feeling in the specified mapping table, the method further comprises:
judging whether the goodness is higher than a minimum goodness threshold;
and if the judgment result is yes, determining the good feeling interval in which the good feeling is positioned in the specified mapping relation table.
8. The method of claim 7, wherein when it is determined that the goodness of motion is below a minimum goodness-of-motion threshold, the method further comprises:
sending an alarm message to the user, wherein the alarm message is used for indicating that the visitor is an untrusted visitor.
9. The utility model provides an intelligence house operating system's scene setting device which characterized in that includes:
the system comprises a first determination module, a second determination module and a third determination module, wherein the first determination module is used for determining a first goodness of a user to a visitor according to a relation between the user and the visitor who visits currently;
the first adjusting device is used for adjusting the scene mode of the smart home to a first scene mode after the first scene mode matched with the first goodness is selected from the designated mapping relation;
the first determination module is further configured to determine a second goodness degree corresponding to the visitor according to the first goodness degree and the collected sign data of the user;
after a second scene mode matched with the second goodness in the appointed mapping relation table is selected, the scene mode of the smart home is adjusted from the first scene mode to the second scene mode;
wherein the first determining module is further configured to determine a second goodness of fit based on the following formula:
Figure DEST_PATH_IMAGE002A
wherein the content of the first and second substances,
Figure 178524DEST_PATH_IMAGE004
for representing said first level of fullness,
Figure 819633DEST_PATH_IMAGE006
for representing said second goodness of feel,
Figure 271474DEST_PATH_IMAGE008
for indicating the corresponding rate of change of a plurality of types of feature data,
Figure 135525DEST_PATH_IMAGE010
for indicating the corresponding rate of change of one type of said characteristic data,
Figure 464744DEST_PATH_IMAGE012
a value representing the characteristic data before the change,
Figure 677420DEST_PATH_IMAGE014
a value representing the changed characteristic data.
10. The apparatus of claim 9, further comprising:
the second determining device is used for determining a second goodness degree corresponding to the visitor according to the first goodness degree and the collected characteristic data of the user;
and the second adjusting device is used for adjusting the scene mode of the smart home from the first scene mode to a second scene mode after selecting the second scene mode matched with the second good sensitivity in the appointed mapping relation table.
11. A storage medium, in which a computer program is stored, wherein the computer program is arranged to perform the method of any of claims 1 to 8 when executed.
12. A control device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to execute the computer program to perform the method as claimed in any of the claims 1 to 8.
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